<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">problendo</journal-id><journal-title-group><journal-title xml:lang="ru">Проблемы Эндокринологии</journal-title><trans-title-group xml:lang="en"><trans-title>Problems of Endocrinology</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0375-9660</issn><issn pub-type="epub">2308-1430</issn><publisher><publisher-name>Endocrinology Research Centre</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.14341/probl12775</article-id><article-id custom-type="elpub" pub-id-type="custom">problendo-12775</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Болезни костной и жировой ткани</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Bones &amp; Adipose tissues diseases</subject></subj-group></article-categories><title-group><article-title>Современное состояние исследований в области ожирения: генетические аспекты, роль микробиома и предрасположенность к COVID-19</article-title><trans-title-group xml:lang="en"><trans-title>Current state of the obesity research: genetic aspects, the role of microbiome, and susceptibility to COVID-19</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9918-6962</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Тимашева</surname><given-names>Я. Р.</given-names></name><name name-style="western" xml:lang="en"><surname>Timasheva</surname><given-names>Ya. R.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Тимашева Янина Римовна, к.м.н.</p><p>450054 Уфа, проспект Октября, д. 71</p><p>eLibrary SPIN: 9962-8494</p></bio><bio xml:lang="en"><p>Yanina R. Timasheva, MD, PhD</p><p>eLibrary SPIN: 9962-8494</p><p>Ufa</p></bio><email xlink:type="simple">ianina_t@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3553-7126</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Балхиярова</surname><given-names>Ж. Р.</given-names></name><name name-style="western" xml:lang="en"><surname>Balkhiyarova</surname><given-names>Zh. R.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Балхиярова Жанна Радиковна, к.м.н.</p><p>eLibrary SPIN: 3176-3244</p><p>Уфа;</p><p>Гилфорд, Великобритания</p></bio><bio xml:lang="en"><p>Zhanna R. Balkhiyarova, MD, PhD</p><p>eLibrary SPIN: 3176-3244</p><p>Ufa;</p><p>Guildford, United Kingdom</p></bio><email xlink:type="simple">JaNe125@yandex.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2944-4428</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кочетова</surname><given-names>О. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kochetova</surname><given-names>O. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Кочетова Ольга Владимировна, к.б.н.</p><p>eLibrary SPIN: 3461-3952</p><p>Уфа</p></bio><bio xml:lang="en"><p>Olga V. Kochetova, PhD</p><p>eLibrary SPIN: 3461-3952</p><p>Ufa</p></bio><email xlink:type="simple">ecolab@mail.ru</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Институт биохимии и генетики Уфимского федерального исследовательского центра Российской академии наук;&#13;
Башкирский государственный медицинский университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Institute of Biochemistry and Genetics of Ufa Federal Research Centre of Russian Academy of Sciences;&#13;
Bashkir State Medical University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Институт биохимии и генетики Уфимского федерального исследовательского центра Российской академии наук;&#13;
Башкирский государственный медицинский университет;&#13;
Университет Суррея</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Institute of Biochemistry and Genetics of Ufa Federal Research Centre of Russian Academy of Sciences;&#13;
Bashkir State Medical University;&#13;
University of Surrey</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Институт биохимии и генетики Уфимского федерального исследовательского центра Российской академии наук</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Institute of Biochemistry and Genetics of Ufa Federal Research Centre of Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>02</day><month>08</month><year>2021</year></pub-date><volume>67</volume><issue>4</issue><fpage>20</fpage><lpage>35</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Тимашева Я.Р., Балхиярова Ж.Р., Кочетова О.В., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Тимашева Я.Р., Балхиярова Ж.Р., Кочетова О.В.</copyright-holder><copyright-holder xml:lang="en">Timasheva Y.R., Balkhiyarova Z.R., Kochetova O.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.probl-endojournals.ru/jour/article/view/12775">https://www.probl-endojournals.ru/jour/article/view/12775</self-uri><abstract><p>Число людей с ожирением в мире достигло 700 млн человек и продолжает неуклонно увеличиваться. Проблема приобретает особую актуальность в связи с повышенным риском осложненного течения и смертности от COVID-19 у пациентов с ожирением. Увеличение распространенности ожирения, в том числе морбидного, связывают с действием внешних и поведенческих факторов, что приводит к стигматизации людей с ожирением, поскольку их проблемы считают обусловленными неправильным образом жизни, характером питания и другими управляемыми факторами. Тем не менее установлено существование наследственной предрасположенности к ожирению, которая носит выраженный полигенный характер. К развитию морбидного ожирения могут приводить редкие мутации, оказывающие значительный эффект на энергетический обмен и отложение жира, однако у большинства пациентов они не выявляются. Низкое разнообразие генов микробиома коррелирует с метаболическими нарушениями (хроническим воспалением, инсулинорезистентностью, размером адипоцитов), а также успешностью оперативных вмешательств, направленных на коррекцию веса (бариатрической хирургии), но данных об отдаленных последствиях бариатрической хирургии и изменении состава, генетического разнообразия и активности микробиома до и после хирургического вмешательства пока недостаточно. В обзоре представлены результаты исследований генетических особенностей пациентов, страдающих ожирением, молекулярных механизмов патогенеза ожирения, способствующих неблагоприятному течению коронавирусной инфекции, а также эволюции микробиома пациентов при бариатрической хирургии, проливающие свет на природу развития заболевания и создающие предпосылки для определения потенциальных мишеней для лекарственной терапии и разработки персонализированных эффективных подходов в диагностике, лечении и профилактике ожирения.</p></abstract><trans-abstract xml:lang="en"><p>Obesity affects over 700 million people worldwide and its prevalence keeps growing steadily. The problem is particularly relevant due to the increased risk of COVID-19 complications and mortality in obese patients. Obesity prevalence increase is often associated with the influence of environmental and behavioural factors, leading to stigmatization of people with obesity due to beliefs that their problems are caused by poor lifestyle choices. However, hereditary predisposition to obesity has been established, likely polygenic in nature. Morbid obesity can result from rare mutations having a significant effect on energy metabolism and fat deposition, but the majority of patients does not present with monogenic forms. Microbiome low diversity significantly correlates with metabolic disorders (inflammation, insulin resistance), and the success of weight loss (bariatric) surgery. However, data on the long-term consequences of bariatric surgery and changes in the microbiome composition and genetic diversity before and after surgery are currently lacking. In this review, we summarize the results of studies of the genetic characteristics of obesity patients, molecular mechanisms of obesity, contributing to the unfavourable course of coronavirus infection, and the evolution of their microbiome during bariatric surgery, elucidating the mechanisms of disease development and creating opportunities to identify potential new treatment targets and design effective personalized approaches for the diagnosis, management, and prevention of obesity.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>ожирение</kwd><kwd>морбидное ожирение</kwd><kwd>бариатрическая хирургия</kwd><kwd>кишечный микробиом</kwd><kwd>COVID-19</kwd></kwd-group><kwd-group xml:lang="en"><kwd>obesity</kwd><kwd>morbid obesity</kwd><kwd>bariatric surgery</kwd><kwd>gastrointestinal microbiome</kwd><kwd>COVID-19</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Поисково-аналитическая работа по подготовке рукописи проведена при финансовой поддержке гранта Лондонского Королевского общества (Royal Society, IEC/R2/181075), мегагранта Правительства Российской Федерации (№075-15-2021-595) и НИР (№ госрегистрации АААА-А16-116020350032-1).</funding-statement><funding-statement xml:lang="en">The study was supported by the Royal Society grant (IEC\R2\181075), megagrant of the government of Russian Federation (№075-15-2021-595) and  State Contract of the Ministry of Science and Education of the Russian Federation (№АААА-А16-116020350032-1).</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">World Health Organization. Preventing and Managing the Global Epidemic: Report on a WHO Consultation (WHO Technical Report Series 894). Geneva, Switzerland: World Health Organization; 2000.</mixed-citation><mixed-citation xml:lang="en">World Health Organization. Preventing and Managing the Global Epidemic: Report on a WHO Consultation (WHO Technical Report Series 894). Geneva, Switzerland: World Health Organization; 2000.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Kontsevaya A, Shalnova S, Deev A, et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters and Cardiovascular Risk Factors. Obes Facts. 2019;12(1):103-114. doi: https://doi.org/10.1159/000493885</mixed-citation><mixed-citation xml:lang="en">Kontsevaya A, Shalnova S, Deev A, et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters and Cardiovascular Risk Factors. Obes Facts. 2019;12(1):103-114. doi: https://doi.org/10.1159/000493885</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Hales CM, Carroll MD, Fryar CD, et al. Prevalence of Obesity and Severe Obesity Among Adults: United States, 2017-2018. NCHS Data Brief. 2020;360:1-8.</mixed-citation><mixed-citation xml:lang="en">Hales CM, Carroll MD, Fryar CD, et al. Prevalence of Obesity and Severe Obesity Among Adults: United States, 2017-2018. NCHS Data Brief. 2020;360:1-8.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Blüher M. Adipose tissue inflammation: a cause or consequence of obesity-related insulin resistance? Clin Sci. 2016;130(18):1603-1614. doi: https://doi.org/10.1042/CS20160005</mixed-citation><mixed-citation xml:lang="en">Blüher M. Adipose tissue inflammation: a cause or consequence of obesity-related insulin resistance? Clin Sci. 2016;130(18):1603-1614. doi: https://doi.org/10.1042/CS20160005</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Chooi YC, Ding C, Magkos F. The epidemiology of obesity. Metabolism. 2019;92:6-10. doi: https://doi.org/10.1016/j.metabol.2018.09.005</mixed-citation><mixed-citation xml:lang="en">Chooi YC, Ding C, Magkos F. The epidemiology of obesity. Metabolism. 2019;92:6-10. doi: https://doi.org/10.1016/j.metabol.2018.09.005</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Ladabaum U, Mannalithara A, Myer PA, Singh G. Obesity, Abdominal Obesity, Physical Activity, and Caloric Intake in US Adults: 1988 to 2010. Am J Med. 2014;127(8):717-727.e12. doi: https://doi.org/10.1016/j.amjmed.2014.02.026</mixed-citation><mixed-citation xml:lang="en">Ladabaum U, Mannalithara A, Myer PA, Singh G. Obesity, Abdominal Obesity, Physical Activity, and Caloric Intake in US Adults: 1988 to 2010. Am J Med. 2014;127(8):717-727.e12. doi: https://doi.org/10.1016/j.amjmed.2014.02.026</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Swinburn BA, Sacks G, Hall KD, et al. The global obesity pandemic: shaped by global drivers and local environments. Lancet. 2011;378(9793):804-814. doi: https://doi.org/10.1016/S0140-6736(11)60813-1</mixed-citation><mixed-citation xml:lang="en">Swinburn BA, Sacks G, Hall KD, et al. The global obesity pandemic: shaped by global drivers and local environments. Lancet. 2011;378(9793):804-814. doi: https://doi.org/10.1016/S0140-6736(11)60813-1</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Katzmarzyk PT, Pérusse L, Rao D, et al. Familial risk of overweight and obesity in the Canadian population using the WHO/NIH criteria. Obesity research. 2000;8(2):194-197. doi: https://doi.org/10.1038/oby.2000.21</mixed-citation><mixed-citation xml:lang="en">Katzmarzyk PT, Pérusse L, Rao D, et al. Familial risk of overweight and obesity in the Canadian population using the WHO/NIH criteria. Obesity research. 2000;8(2):194-197. doi: https://doi.org/10.1038/oby.2000.21</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Koeppen-Schomerus G, Wardle J, Plomin R. A genetic analysis of weight and overweight in 4-year-old twin pairs. International Journal of Obesity. 2001;25(6):838-844. doi: https://doi.org/10.1038/sj.ijo.0801589</mixed-citation><mixed-citation xml:lang="en">Koeppen-Schomerus G, Wardle J, Plomin R. A genetic analysis of weight and overweight in 4-year-old twin pairs. International Journal of Obesity. 2001;25(6):838-844. doi: https://doi.org/10.1038/sj.ijo.0801589</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Pietiläinen KH, Kaprio J, Rissanen A, et al. Distribution and heritability of BMI in Finnish adolescents aged 16 y and 17 y: A study of 4884 twins and 2509 singletons. International Journal of Obesity. 1999;23(2):107-115. doi: https://doi.org/10.1038/sj.ijo.0800767</mixed-citation><mixed-citation xml:lang="en">Pietiläinen KH, Kaprio J, Rissanen A, et al. Distribution and heritability of BMI in Finnish adolescents aged 16 y and 17 y: A study of 4884 twins and 2509 singletons. International Journal of Obesity. 1999;23(2):107-115. doi: https://doi.org/10.1038/sj.ijo.0800767</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Allison DB, Kaprio J, Korkeila M, et al. The heritability of body mass index among an international sample of monozygotic twins reared apart. International Journal of Obesity. 1996;20(6):501-506.</mixed-citation><mixed-citation xml:lang="en">Allison DB, Kaprio J, Korkeila M, et al. The heritability of body mass index among an international sample of monozygotic twins reared apart. International Journal of Obesity. 1996;20(6):501-506.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Feinleib M, Garrison RJ, Fabsitz R, et al. The NHLBI twin study of cardiovascular disease risk factors: methodology and summary of results. Am J Epidemiol. 1977;106(4):284-285. doi: https://doi.org/10.1093/oxfordjournals.aje.a112464</mixed-citation><mixed-citation xml:lang="en">Feinleib M, Garrison RJ, Fabsitz R, et al. The NHLBI twin study of cardiovascular disease risk factors: methodology and summary of results. Am J Epidemiol. 1977;106(4):284-285. doi: https://doi.org/10.1093/oxfordjournals.aje.a112464</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Stunkard AJ, Foch TT, Hrubec Z. A twin study of human obesity. JAMA. 1986;256(1):51-54. doi: https://doi.org/10.1001/jama.1986.03380010055024</mixed-citation><mixed-citation xml:lang="en">Stunkard AJ, Foch TT, Hrubec Z. A twin study of human obesity. JAMA. 1986;256(1):51-54. doi: https://doi.org/10.1001/jama.1986.03380010055024</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Stunkard AJ, Harris JR, Pedersen NL, et al. The BodyMass Index of Twins Who Have Been Reared Apart. New England Journal of Medicine. 1990;322(21):1483-1487. doi: https://doi.org/10.1056/Nejm199005243222102</mixed-citation><mixed-citation xml:lang="en">Stunkard AJ, Harris JR, Pedersen NL, et al. The BodyMass Index of Twins Who Have Been Reared Apart. New England Journal of Medicine. 1990;322(21):1483-1487. doi: https://doi.org/10.1056/Nejm199005243222102</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Fesinmeyer MD, North KE, Ritchie MD, et al. Genetic Risk Factors for BMI and Obesity in an Ethnically Diverse Population: Results from the Population Architecture Using Genomics and Epidemiology (PAGE) Study. Obesity. 2013;21(4):835-846. doi: https://doi.org/10.1002/oby.20268</mixed-citation><mixed-citation xml:lang="en">Fesinmeyer MD, North KE, Ritchie MD, et al. Genetic Risk Factors for BMI and Obesity in an Ethnically Diverse Population: Results from the Population Architecture Using Genomics and Epidemiology (PAGE) Study. Obesity. 2013;21(4):835-846. doi: https://doi.org/10.1002/oby.20268</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Rohde K, Keller M, la Cour Poulsen L, et al. Genetics and epigenetics in obesity. Metabolism. 2019;92:37-50. doi: https://doi.org/10.1016/j.metabol.2018.10.007</mixed-citation><mixed-citation xml:lang="en">Rohde K, Keller M, la Cour Poulsen L, et al. Genetics and epigenetics in obesity. Metabolism. 2019;92:37-50. doi: https://doi.org/10.1016/j.metabol.2018.10.007</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Singh RK, Kumar P, Mahalingam K. Molecular genetics of human obesity: A comprehensive review. C R Biol. 2017;340(2):87-108. doi: https://doi.org/10.1016/j.crvi.2016.11.007</mixed-citation><mixed-citation xml:lang="en">Singh RK, Kumar P, Mahalingam K. Molecular genetics of human obesity: A comprehensive review. C R Biol. 2017;340(2):87-108. doi: https://doi.org/10.1016/j.crvi.2016.11.007</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Kaur Y, de Souza RJ, Gibson WT, et al. A systematic review of genetic syndromes with obesity. Obes Rev. 2017;18(6):603-634. doi: https://doi.org/10.1111/obr.12531</mixed-citation><mixed-citation xml:lang="en">Kaur Y, de Souza RJ, Gibson WT, et al. A systematic review of genetic syndromes with obesity. Obes Rev. 2017;18(6):603-634. doi: https://doi.org/10.1111/obr.12531</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Forsythe E, Kenny J, Bacchelli C, Beales PL. Managing Bardet–Biedl Syndrome — Now and in the Future. Front Pediatr. 2018;6. doi: https://doi.org/10.3389/fped.2018.00023</mixed-citation><mixed-citation xml:lang="en">Forsythe E, Kenny J, Bacchelli C, Beales PL. Managing Bardet–Biedl Syndrome — Now and in the Future. Front Pediatr. 2018;6. doi: https://doi.org/10.3389/fped.2018.00023</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Bonnefond A, Raimondo A, Stutzmann F, et al. Loss-of-function mutations in SIM1 contribute to obesity and Prader-Willi–like features. The Journal of clinical investigation. 2013;123(7):3037-3041. doi: https://doi.org/10.1172/JCI68035</mixed-citation><mixed-citation xml:lang="en">Bonnefond A, Raimondo A, Stutzmann F, et al. Loss-of-function mutations in SIM1 contribute to obesity and Prader-Willi–like features. The Journal of clinical investigation. 2013;123(7):3037-3041. doi: https://doi.org/10.1172/JCI68035</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Desch L, Marle N, Mosca-Boidron A-L, et al. 6q16.3q23.3 duplication associated with Prader-Willi-like syndrome. Mol Cytogenet. 2015;8(1):42. doi: https://doi.org/10.1186/s13039-015-0151-6</mixed-citation><mixed-citation xml:lang="en">Desch L, Marle N, Mosca-Boidron A-L, et al. 6q16.3q23.3 duplication associated with Prader-Willi-like syndrome. Mol Cytogenet. 2015;8(1):42. doi: https://doi.org/10.1186/s13039-015-0151-6</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Martinez-Cerdeno V, Lechpammer M, Noctor S, et al. FMR1 premutation with Prader-Willi phenotype and fragile X-associated tremor/ataxia syndrome. Clin Case Rep. 2017;5(5):625-629. doi: https://doi.org/10.1002/ccr3.834</mixed-citation><mixed-citation xml:lang="en">Martinez-Cerdeno V, Lechpammer M, Noctor S, et al. FMR1 premutation with Prader-Willi phenotype and fragile X-associated tremor/ataxia syndrome. Clin Case Rep. 2017;5(5):625-629. doi: https://doi.org/10.1002/ccr3.834</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Pigeyre M, Yazdi FT, Kaur Y, et al. Recent progress in genetics, epigenetics and metagenomics unveils the pathophysiology of human obesity. Clin Sci (Lond). 2016;130(12):943-986. doi: https://doi.org/10.1042/CS20160136</mixed-citation><mixed-citation xml:lang="en">Pigeyre M, Yazdi FT, Kaur Y, et al. Recent progress in genetics, epigenetics and metagenomics unveils the pathophysiology of human obesity. Clin Sci (Lond). 2016;130(12):943-986. doi: https://doi.org/10.1042/CS20160136</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Saeed S, Arslan M, Froguel P. Genetics of Obesity in Consanguineous Populations: Toward Precision Medicine and the Discovery of Novel Obesity Genes. Obesity (Silver Spring). 2018;26(3):474-484. doi: https://doi.org/10.1002/oby.22064</mixed-citation><mixed-citation xml:lang="en">Saeed S, Arslan M, Froguel P. Genetics of Obesity in Consanguineous Populations: Toward Precision Medicine and the Discovery of Novel Obesity Genes. Obesity (Silver Spring). 2018;26(3):474-484. doi: https://doi.org/10.1002/oby.22064</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Ingelsson E, McCarthy MI. Human Genetics of Obesity and Type 2 Diabetes Mellitus: Past, Present, and Future. Circ Genom Precis Med. 2018;11(6):e002090. doi: https://doi.org/10.1161/CIRCGEN.118.002090</mixed-citation><mixed-citation xml:lang="en">Ingelsson E, McCarthy MI. Human Genetics of Obesity and Type 2 Diabetes Mellitus: Past, Present, and Future. Circ Genom Precis Med. 2018;11(6):e002090. doi: https://doi.org/10.1161/CIRCGEN.118.002090</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Choquet H, Meyre D. Molecular basis of obesity: current status and future prospects. Curr Genomics. 2011;12(3):154-168. doi: https://doi.org/10.2174/138920211795677921</mixed-citation><mixed-citation xml:lang="en">Choquet H, Meyre D. Molecular basis of obesity: current status and future prospects. Curr Genomics. 2011;12(3):154-168. doi: https://doi.org/10.2174/138920211795677921</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Huvenne H, Dubern B, Clement K, et al. Rare Genetic Forms of Obesity: Clinical Approach and Current Treatments in 2016. Obes Facts. 2016;9(3):158-173. doi: https://doi.org/10.1159/000445061</mixed-citation><mixed-citation xml:lang="en">Huvenne H, Dubern B, Clement K, et al. Rare Genetic Forms of Obesity: Clinical Approach and Current Treatments in 2016. Obes Facts. 2016;9(3):158-173. doi: https://doi.org/10.1159/000445061</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang Y, Proenca R, Maffei M, et al. Positional cloning of the mouse obese gene and its human homologue. Nature. 1994;372(6505):425-432. doi: https://doi.org/10.1038/372425a0</mixed-citation><mixed-citation xml:lang="en">Zhang Y, Proenca R, Maffei M, et al. Positional cloning of the mouse obese gene and its human homologue. Nature. 1994;372(6505):425-432. doi: https://doi.org/10.1038/372425a0</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Morton GJ, Meek TH, Schwartz MW. Neurobiology of food intake in health and disease. Nat Rev Neurosci. 2014;15(6):367-378. doi: https://doi.org/10.1038/nrn3745</mixed-citation><mixed-citation xml:lang="en">Morton GJ, Meek TH, Schwartz MW. Neurobiology of food intake in health and disease. Nat Rev Neurosci. 2014;15(6):367-378. doi: https://doi.org/10.1038/nrn3745</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Licinio J, Caglayan S, Ozata M, et al. Phenotypic effects of leptin replacement on morbid obesity, diabetes mellitus, hypogonadism, and behavior in leptin-deficient adults. Proc Natl Acad Sci U S A. 2004;101(13):4531-4536. doi: https://doi.org/10.1073/pnas.0308767101</mixed-citation><mixed-citation xml:lang="en">Licinio J, Caglayan S, Ozata M, et al. Phenotypic effects of leptin replacement on morbid obesity, diabetes mellitus, hypogonadism, and behavior in leptin-deficient adults. Proc Natl Acad Sci U S A. 2004;101(13):4531-4536. doi: https://doi.org/10.1073/pnas.0308767101</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Farooqi IS, Keogh JM, Yeo GS, et al. Clinical spectrum of obesity and mutations in the melanocortin 4 receptor gene. N Engl J Med. 2003;348(12):1085-1095. doi: https://doi.org/10.1056/NEJMoa022050</mixed-citation><mixed-citation xml:lang="en">Farooqi IS, Keogh JM, Yeo GS, et al. Clinical spectrum of obesity and mutations in the melanocortin 4 receptor gene. N Engl J Med. 2003;348(12):1085-1095. doi: https://doi.org/10.1056/NEJMoa022050</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Krude H, Biebermann H, Luck W, et al. Severe early-onset obesity, adrenal insufficiency and red hair pigmentation caused by POMC mutations in humans. Nat Genet. 1998;19(2):155-157. doi: https://doi.org/10.1038/509</mixed-citation><mixed-citation xml:lang="en">Krude H, Biebermann H, Luck W, et al. Severe early-onset obesity, adrenal insufficiency and red hair pigmentation caused by POMC mutations in humans. Nat Genet. 1998;19(2):155-157. doi: https://doi.org/10.1038/509</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Vaisse C, Clement K, Durand E, et al. Melanocortin-4 receptor mutations are a frequent and heterogeneous cause of morbid obesity. J Clin Invest. 2000;106(2):253-262. doi: https://doi.org/10.1172/JCI9238</mixed-citation><mixed-citation xml:lang="en">Vaisse C, Clement K, Durand E, et al. Melanocortin-4 receptor mutations are a frequent and heterogeneous cause of morbid obesity. J Clin Invest. 2000;106(2):253-262. doi: https://doi.org/10.1172/JCI9238</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Pritchard LE, Turnbull AV, White A. Pro-opiomelanocortin processing in the hypothalamus: impact on melanocortin signalling and obesity. J Endocrinol. 2002;172(3):411-421. doi: https://doi.org/10.1677/joe.0.1720411</mixed-citation><mixed-citation xml:lang="en">Pritchard LE, Turnbull AV, White A. Pro-opiomelanocortin processing in the hypothalamus: impact on melanocortin signalling and obesity. J Endocrinol. 2002;172(3):411-421. doi: https://doi.org/10.1677/joe.0.1720411</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">O’Rahilly S, Gray H, Humphreys PJ, et al. Brief report: impaired processing of prohormones associated with abnormalities of glucose homeostasis and adrenal function. N Engl J Med. 1995;333(21):1386-1390. doi: https://doi.org/10.1056/NEJM199511233332104</mixed-citation><mixed-citation xml:lang="en">O’Rahilly S, Gray H, Humphreys PJ, et al. Brief report: impaired processing of prohormones associated with abnormalities of glucose homeostasis and adrenal function. N Engl J Med. 1995;333(21):1386-1390. doi: https://doi.org/10.1056/NEJM199511233332104</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Jackson RS, Creemers JW, Ohagi S, et al. Obesity and impaired prohormone processing associated with mutations in the human prohormone convertase 1 gene. Nat Genet. 1997;16(3):303-306. doi: https://doi.org/10.1038/ng0797-303</mixed-citation><mixed-citation xml:lang="en">Jackson RS, Creemers JW, Ohagi S, et al. Obesity and impaired prohormone processing associated with mutations in the human prohormone convertase 1 gene. Nat Genet. 1997;16(3):303-306. doi: https://doi.org/10.1038/ng0797-303</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Saeed S, Bonnefond A, Tamanini F, et al. Loss-of-function mutations in ADCY3 cause monogenic severe obesity. Nature Genetics. 2018;50(2):175-179. doi: https://doi.org/10.1038/s41588-017-0023-6</mixed-citation><mixed-citation xml:lang="en">Saeed S, Bonnefond A, Tamanini F, et al. Loss-of-function mutations in ADCY3 cause monogenic severe obesity. Nature Genetics. 2018;50(2):175-179. doi: https://doi.org/10.1038/s41588-017-0023-6</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Grarup N, Moltke I, Andersen MK, et al. Loss-of-function variants in ADCY3 increase risk of obesity and type 2 diabetes. Nat Genet. 2018;50(2):172-174. doi: https://doi.org/10.1038/s41588-017-0022-7</mixed-citation><mixed-citation xml:lang="en">Grarup N, Moltke I, Andersen MK, et al. Loss-of-function variants in ADCY3 increase risk of obesity and type 2 diabetes. Nat Genet. 2018;50(2):172-174. doi: https://doi.org/10.1038/s41588-017-0022-7</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Ramachandrappa S, Raimondo A, Cali AM, et al. Rare variants in single-minded 1 (SIM1) are associated with severe obesity. J Clin Invest. 2013;123(7):3042-3050. doi: https://doi.org/10.1172/JCI68016</mixed-citation><mixed-citation xml:lang="en">Ramachandrappa S, Raimondo A, Cali AM, et al. Rare variants in single-minded 1 (SIM1) are associated with severe obesity. J Clin Invest. 2013;123(7):3042-3050. doi: https://doi.org/10.1172/JCI68016</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Holder JL Jr, Butte NF, Zinn AR. Profound obesity associated with a balanced translocation that disrupts the SIM1 gene. Human molecular genetics. 2000;9(1):101-108. doi: https://doi.org/10.1093/hmg/9.1.101</mixed-citation><mixed-citation xml:lang="en">Holder JL Jr, Butte NF, Zinn AR. Profound obesity associated with a balanced translocation that disrupts the SIM1 gene. Human molecular genetics. 2000;9(1):101-108. doi: https://doi.org/10.1093/hmg/9.1.101</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Chan LF, Webb TR, Chung TT, et al. MRAP and MRAP2 are bidirectional regulators of the melanocortin receptor family. Proc Natl Acad Sci U S A. 2009;106(15):6146-6151. doi: https://doi.org/10.1073/pnas.0809918106</mixed-citation><mixed-citation xml:lang="en">Chan LF, Webb TR, Chung TT, et al. MRAP and MRAP2 are bidirectional regulators of the melanocortin receptor family. Proc Natl Acad Sci U S A. 2009;106(15):6146-6151. doi: https://doi.org/10.1073/pnas.0809918106</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Baron M, Maillet J, Huyvaert M, et al. Loss-of-function mutations in MRAP2 are pathogenic in hyperphagic obesity with hyperglycemia and hypertension. Nat Med. 2019;25(11):1733-1738. doi: https://doi.org/10.1038/s41591-019-0622-0</mixed-citation><mixed-citation xml:lang="en">Baron M, Maillet J, Huyvaert M, et al. Loss-of-function mutations in MRAP2 are pathogenic in hyperphagic obesity with hyperglycemia and hypertension. Nat Med. 2019;25(11):1733-1738. doi: https://doi.org/10.1038/s41591-019-0622-0</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Sebag JA, Zhang C, Hinkle PM, et al. Developmental control of the melanocortin-4 receptor by MRAP2 proteins in zebrafish. Science. 2013;341(6143):278-281. doi: https://doi.org/10.1126/science.1232995</mixed-citation><mixed-citation xml:lang="en">Sebag JA, Zhang C, Hinkle PM, et al. Developmental control of the melanocortin-4 receptor by MRAP2 proteins in zebrafish. Science. 2013;341(6143):278-281. doi: https://doi.org/10.1126/science.1232995</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Baron M, Froguel P, Bonnefond A. Du nouveau dans la génétique des formes monogéniques d’obésité et son impact pour mieux en comprendre la physiopathologie. Med Sci (Paris). 2020;36(10):859-865. doi: https://doi.org/10.1051/medsci/2020156</mixed-citation><mixed-citation xml:lang="en">Baron M, Froguel P, Bonnefond A. Du nouveau dans la génétique des formes monogéniques d’obésité et son impact pour mieux en comprendre la physiopathologie. Med Sci (Paris). 2020;36(10):859-865. doi: https://doi.org/10.1051/medsci/2020156</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Yeo GS, Connie Hung CC, Rochford J, et al. A de novo mutation affecting human TrkB associated with severe obesity and developmental delay. Nat Neurosci. 2004;7(11):1187-1189. doi: https://doi.org/10.1038/nn1336</mixed-citation><mixed-citation xml:lang="en">Yeo GS, Connie Hung CC, Rochford J, et al. A de novo mutation affecting human TrkB associated with severe obesity and developmental delay. Nat Neurosci. 2004;7(11):1187-1189. doi: https://doi.org/10.1038/nn1336</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Gray J, Yeo GS, Cox JJ, et al. Hyperphagia, severe obesity, impaired cognitive function, and hyperactivity associated with functional loss of one copy of the brain-derived neurotrophic factor (BDNF) gene. Diabetes. 2006;55(12):3366-3371. doi: https://doi.org/10.2337/db06-0550</mixed-citation><mixed-citation xml:lang="en">Gray J, Yeo GS, Cox JJ, et al. Hyperphagia, severe obesity, impaired cognitive function, and hyperactivity associated with functional loss of one copy of the brain-derived neurotrophic factor (BDNF) gene. Diabetes. 2006;55(12):3366-3371. doi: https://doi.org/10.2337/db06-0550</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">Yengo L, Sidorenko J, Kemper KE, et al. Meta-analysis of genome-wide association studies for height and body mass index in ~ 700000 individuals of European ancestry. Human molecular genetics. 2018;27(20):3641-3649. doi: https://doi.org/10.1093/hmg/ddy271</mixed-citation><mixed-citation xml:lang="en">Yengo L, Sidorenko J, Kemper KE, et al. Meta-analysis of genome-wide association studies for height and body mass index in ~ 700000 individuals of European ancestry. Human molecular genetics. 2018;27(20):3641-3649. doi: https://doi.org/10.1093/hmg/ddy271</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">Tyrrell J, Wood AR, Ames RM, et al. Gene–obesogenic environment interactions in the UK Biobank study. International Journal of Epidemiology. 2017;46(2):559-575. doi: https://doi.org/10.1093/ije/dyw337</mixed-citation><mixed-citation xml:lang="en">Tyrrell J, Wood AR, Ames RM, et al. Gene–obesogenic environment interactions in the UK Biobank study. International Journal of Epidemiology. 2017;46(2):559-575. doi: https://doi.org/10.1093/ije/dyw337</mixed-citation></citation-alternatives></ref><ref id="cit49"><label>49</label><citation-alternatives><mixed-citation xml:lang="ru">Goodarzi MO. Genetics of obesity: what genetic association studies have taught us about the biology of obesity and its complications. Lancet Diabetes &amp; Endocrinology. 2018;6(3):223-236. doi: https://doi.org/10.1016/S2213-8587(17)30200-0</mixed-citation><mixed-citation xml:lang="en">Goodarzi MO. Genetics of obesity: what genetic association studies have taught us about the biology of obesity and its complications. Lancet Diabetes &amp; Endocrinology. 2018;6(3):223-236. doi: https://doi.org/10.1016/S2213-8587(17)30200-0</mixed-citation></citation-alternatives></ref><ref id="cit50"><label>50</label><citation-alternatives><mixed-citation xml:lang="ru">Barres R, Kirchner H, Rasmussen M, et al. Weight loss after gastric bypass surgery in human obesity remodels promoter methylation. Cell Rep. 2013;3(4):1020-1027. doi: https://doi.org/10.1016/j.celrep.2013.03.018</mixed-citation><mixed-citation xml:lang="en">Barres R, Kirchner H, Rasmussen M, et al. Weight loss after gastric bypass surgery in human obesity remodels promoter methylation. Cell Rep. 2013;3(4):1020-1027. doi: https://doi.org/10.1016/j.celrep.2013.03.018</mixed-citation></citation-alternatives></ref><ref id="cit51"><label>51</label><citation-alternatives><mixed-citation xml:lang="ru">Keller M, Hopp L, Liu X, et al. Genome-wide DNA promoter methylation and transcriptome analysis in human adipose tissue unravels novel candidate genes for obesity. Mol Metab. 2017;6(1):86-100. doi: https://doi.org/10.1016/j.molmet.2016.11.003</mixed-citation><mixed-citation xml:lang="en">Keller M, Hopp L, Liu X, et al. Genome-wide DNA promoter methylation and transcriptome analysis in human adipose tissue unravels novel candidate genes for obesity. Mol Metab. 2017;6(1):86-100. doi: https://doi.org/10.1016/j.molmet.2016.11.003</mixed-citation></citation-alternatives></ref><ref id="cit52"><label>52</label><citation-alternatives><mixed-citation xml:lang="ru">Nilsson E, Jansson PA, Perfilyev A, et al. Altered DNA methylation and differential expression of genes influencing metabolism and inflammation in adipose tissue from subjects with type 2 diabetes. Diabetes. 2014;63(9):2962-2976. doi: https://doi.org/10.2337/db13-1459</mixed-citation><mixed-citation xml:lang="en">Nilsson E, Jansson PA, Perfilyev A, et al. Altered DNA methylation and differential expression of genes influencing metabolism and inflammation in adipose tissue from subjects with type 2 diabetes. Diabetes. 2014;63(9):2962-2976. doi: https://doi.org/10.2337/db13-1459</mixed-citation></citation-alternatives></ref><ref id="cit53"><label>53</label><citation-alternatives><mixed-citation xml:lang="ru">Wahl S, Drong A, Lehne B, et al. Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity. Nature. 2017;541(7635):81-86. doi: https://doi.org/10.1038/nature20784</mixed-citation><mixed-citation xml:lang="en">Wahl S, Drong A, Lehne B, et al. Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity. Nature. 2017;541(7635):81-86. doi: https://doi.org/10.1038/nature20784</mixed-citation></citation-alternatives></ref><ref id="cit54"><label>54</label><citation-alternatives><mixed-citation xml:lang="ru">Su L.-N, Wang Y-B, Wnag C-G, et al. Network analysis identifies common genes associated with obesity in six obesity-related diseases. Journal of Zhejiang University-SCIENCE B. 2017;18(8):727-732. doi: https://doi.org/10.1631/jzus.B1600454</mixed-citation><mixed-citation xml:lang="en">Su L.-N, Wang Y-B, Wnag C-G, et al. Network analysis identifies common genes associated with obesity in six obesity-related diseases. Journal of Zhejiang University-SCIENCE B. 2017;18(8):727-732. doi: https://doi.org/10.1631/jzus.B1600454</mixed-citation></citation-alternatives></ref><ref id="cit55"><label>55</label><citation-alternatives><mixed-citation xml:lang="ru">Benzinou M, Creemers JW, Choquet H, et al. Common nonsynonymous variants in PCSK1 confer risk of obesity. Nature genetics. 2008;40(8):943. doi: https://doi.org/10.1038/ng.177</mixed-citation><mixed-citation xml:lang="en">Benzinou M, Creemers JW, Choquet H, et al. Common nonsynonymous variants in PCSK1 confer risk of obesity. Nature genetics. 2008;40(8):943. doi: https://doi.org/10.1038/ng.177</mixed-citation></citation-alternatives></ref><ref id="cit56"><label>56</label><citation-alternatives><mixed-citation xml:lang="ru">Choquet H, Kasberger J, Hamidovic A, et al. Contribution of common PCSK1 genetic variants to obesity in 8,359 subjects from multi-ethnic American population. PLoS One. 2013;8(2):e57857. doi: https://doi.org/10.1371/journal.pone.0057857</mixed-citation><mixed-citation xml:lang="en">Choquet H, Kasberger J, Hamidovic A, et al. Contribution of common PCSK1 genetic variants to obesity in 8,359 subjects from multi-ethnic American population. PLoS One. 2013;8(2):e57857. doi: https://doi.org/10.1371/journal.pone.0057857</mixed-citation></citation-alternatives></ref><ref id="cit57"><label>57</label><citation-alternatives><mixed-citation xml:lang="ru">Rouskas K, Kouvatsi A, Paletas K, et al. Common variants in FTO, MC4R, TMEM18, PRL, AIF1, and PCSK1 show evidence of association with adult obesity in the Greek population. Obesity. 2012;20(2):389-395. doi: https://doi.org/10.1038/oby.2011.177</mixed-citation><mixed-citation xml:lang="en">Rouskas K, Kouvatsi A, Paletas K, et al. Common variants in FTO, MC4R, TMEM18, PRL, AIF1, and PCSK1 show evidence of association with adult obesity in the Greek population. Obesity. 2012;20(2):389-395. doi: https://doi.org/10.1038/oby.2011.177</mixed-citation></citation-alternatives></ref><ref id="cit58"><label>58</label><citation-alternatives><mixed-citation xml:lang="ru">Loos RJ, Lindgren CM, Li S, et al. Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat Genet. 2008;40(6):768-775. doi: https://doi.org/10.1038/ng.140</mixed-citation><mixed-citation xml:lang="en">Loos RJ, Lindgren CM, Li S, et al. Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat Genet. 2008;40(6):768-775. doi: https://doi.org/10.1038/ng.140</mixed-citation></citation-alternatives></ref><ref id="cit59"><label>59</label><citation-alternatives><mixed-citation xml:lang="ru">Claussnitzer M, Dankel SN, Kim KH, et al. FTO obesity variant circuitry and adipocyte browning in humans. New England Journal of Medicine. 2015;373(10):895-907. doi: https://doi.org/10.1056/NEJMoa1502214</mixed-citation><mixed-citation xml:lang="en">Claussnitzer M, Dankel SN, Kim KH, et al. FTO obesity variant circuitry and adipocyte browning in humans. New England Journal of Medicine. 2015;373(10):895-907. doi: https://doi.org/10.1056/NEJMoa1502214</mixed-citation></citation-alternatives></ref><ref id="cit60"><label>60</label><citation-alternatives><mixed-citation xml:lang="ru">Smemo S, Tena JJ, Kim K-H, et al. Obesity-associated variants within FTO form long-range functional connections with IRX3. Nature. 2014;507(7492):371-375. doi: https://doi.org/10.1038/nature13138</mixed-citation><mixed-citation xml:lang="en">Smemo S, Tena JJ, Kim K-H, et al. Obesity-associated variants within FTO form long-range functional connections with IRX3. Nature. 2014;507(7492):371-375. doi: https://doi.org/10.1038/nature13138</mixed-citation></citation-alternatives></ref><ref id="cit61"><label>61</label><citation-alternatives><mixed-citation xml:lang="ru">Lilenfeld LR, Kaye WH, Greeno CG, et al. A controlled family study of anorexia nervosa and bulimia nervosa: psychiatric disorders in first-degree relatives and effects of proband comorbidity. Arch Gen Psychiatry. 1998;55(7):603-610. doi: https://doi.org/10.1001/archpsyc.55.7.603</mixed-citation><mixed-citation xml:lang="en">Lilenfeld LR, Kaye WH, Greeno CG, et al. A controlled family study of anorexia nervosa and bulimia nervosa: psychiatric disorders in first-degree relatives and effects of proband comorbidity. Arch Gen Psychiatry. 1998;55(7):603-610. doi: https://doi.org/10.1001/archpsyc.55.7.603</mixed-citation></citation-alternatives></ref><ref id="cit62"><label>62</label><citation-alternatives><mixed-citation xml:lang="ru">Strober M, Freeman R, Lampert C, et al. Controlled family study of anorexia nervosa and bulimia nervosa: evidence of shared liability and transmission of partial syndromes. Am J Psychiatry. 2000;157(3):393-401. doi: https://doi.org/10.1176/appi.ajp.157.3.393</mixed-citation><mixed-citation xml:lang="en">Strober M, Freeman R, Lampert C, et al. Controlled family study of anorexia nervosa and bulimia nervosa: evidence of shared liability and transmission of partial syndromes. Am J Psychiatry. 2000;157(3):393-401. doi: https://doi.org/10.1176/appi.ajp.157.3.393</mixed-citation></citation-alternatives></ref><ref id="cit63"><label>63</label><citation-alternatives><mixed-citation xml:lang="ru">Thornton LM, Mazzeo SE, Bulik CM. The Heritability of Eating Disorders: Methods and Current Findings. In: Current Topics in Behavioral Neurosciences. ; 2010:141-156. doi: https://doi.org/10.1007/7854_2010_91</mixed-citation><mixed-citation xml:lang="en">Thornton LM, Mazzeo SE, Bulik CM. The Heritability of Eating Disorders: Methods and Current Findings. In: Current Topics in Behavioral Neurosciences. ; 2010:141-156. doi: https://doi.org/10.1007/7854_2010_91</mixed-citation></citation-alternatives></ref><ref id="cit64"><label>64</label><citation-alternatives><mixed-citation xml:lang="ru">Elks CE, den Hoed M, Zhao JH, et al. Variability in the heritability of body mass index: a systematic review and meta-regression. Front Endocrinol (Lausanne). 2012;3:29. doi: https://doi.org/10.3389/fendo.2012.00029</mixed-citation><mixed-citation xml:lang="en">Elks CE, den Hoed M, Zhao JH, et al. Variability in the heritability of body mass index: a systematic review and meta-regression. Front Endocrinol (Lausanne). 2012;3:29. doi: https://doi.org/10.3389/fendo.2012.00029</mixed-citation></citation-alternatives></ref><ref id="cit65"><label>65</label><citation-alternatives><mixed-citation xml:lang="ru">Kendler KS, MacLean C, Neale M, et al. The genetic epidemiology of bulimia nervosa. American Journal of Psychiatry. 1991;148(12):1627-1637. doi: https://doi.org/10.1176/ajp.148.12.1627</mixed-citation><mixed-citation xml:lang="en">Kendler KS, MacLean C, Neale M, et al. The genetic epidemiology of bulimia nervosa. American Journal of Psychiatry. 1991;148(12):1627-1637. doi: https://doi.org/10.1176/ajp.148.12.1627</mixed-citation></citation-alternatives></ref><ref id="cit66"><label>66</label><citation-alternatives><mixed-citation xml:lang="ru">Llewellyn C, Wardle J, Behavioral susceptibility to obesity: gene — environment interplay in the development of weight. Physiology &amp; Behavior. 2015;152:494-501. doi: https://doi.org/10.1016/j.physbeh.2015.07.006</mixed-citation><mixed-citation xml:lang="en">Llewellyn C, Wardle J, Behavioral susceptibility to obesity: gene — environment interplay in the development of weight. Physiology &amp; Behavior. 2015;152:494-501. doi: https://doi.org/10.1016/j.physbeh.2015.07.006</mixed-citation></citation-alternatives></ref><ref id="cit67"><label>67</label><citation-alternatives><mixed-citation xml:lang="ru">Llewellyn CH, Fildes A, Behavioural Susceptibility Theory: Professor Jane Wardle and the Role of Appetite in Genetic Risk of Obesity. Curr Obes Rep. 2017;6(1):38-45. doi: https://doi.org/10.1007/s13679-017-0247-x</mixed-citation><mixed-citation xml:lang="en">Llewellyn CH, Fildes A, Behavioural Susceptibility Theory: Professor Jane Wardle and the Role of Appetite in Genetic Risk of Obesity. Curr Obes Rep. 2017;6(1):38-45. doi: https://doi.org/10.1007/s13679-017-0247-x</mixed-citation></citation-alternatives></ref><ref id="cit68"><label>68</label><citation-alternatives><mixed-citation xml:lang="ru">Herle M, Smith AD, Kininmonth A, Llewellyn C. The Role of Eating Behaviours in Genetic Susceptibility to Obesity. Curr Obes Rep. 2020;9(4):512-521. doi: https://doi.org/10.1007/s13679-020-00402-0</mixed-citation><mixed-citation xml:lang="en">Herle M, Smith AD, Kininmonth A, Llewellyn C. The Role of Eating Behaviours in Genetic Susceptibility to Obesity. Curr Obes Rep. 2020;9(4):512-521. doi: https://doi.org/10.1007/s13679-020-00402-0</mixed-citation></citation-alternatives></ref><ref id="cit69"><label>69</label><citation-alternatives><mixed-citation xml:lang="ru">Nicoletti CF, Delfino HBP, Ferreira FC, et al. Role of eating disorders-related polymorphisms in obesity pathophysiology. Rev Endocr Metab Disord. 2019;20(1):115-125. doi: https://doi.org/10.1007/s11154-019-09489-w</mixed-citation><mixed-citation xml:lang="en">Nicoletti CF, Delfino HBP, Ferreira FC, et al. Role of eating disorders-related polymorphisms in obesity pathophysiology. Rev Endocr Metab Disord. 2019;20(1):115-125. doi: https://doi.org/10.1007/s11154-019-09489-w</mixed-citation></citation-alternatives></ref><ref id="cit70"><label>70</label><citation-alternatives><mixed-citation xml:lang="ru">Masip G, Silventoinen K, Keski-Rahkonen A, et al. The genetic architecture of the association between eating behaviors and obesity: combining genetic twin modeling and polygenic risk scores. Am J Clin Nutr. 2020;112(4):956-966. doi: https://doi.org/10.1093/ajcn/nqaa181</mixed-citation><mixed-citation xml:lang="en">Masip G, Silventoinen K, Keski-Rahkonen A, et al. The genetic architecture of the association between eating behaviors and obesity: combining genetic twin modeling and polygenic risk scores. Am J Clin Nutr. 2020;112(4):956-966. doi: https://doi.org/10.1093/ajcn/nqaa181</mixed-citation></citation-alternatives></ref><ref id="cit71"><label>71</label><citation-alternatives><mixed-citation xml:lang="ru">Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197-401. doi: https://doi.org/10.1038/nature14177</mixed-citation><mixed-citation xml:lang="en">Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197-401. doi: https://doi.org/10.1038/nature14177</mixed-citation></citation-alternatives></ref><ref id="cit72"><label>72</label><citation-alternatives><mixed-citation xml:lang="ru">Timshel PN, Thompson JJ, Pers TH. Genetic mapping of etiologic brain cell types for obesity. Elife. 2020;9:e55851. doi: https://doi.org/10.7554/eLife.55851</mixed-citation><mixed-citation xml:lang="en">Timshel PN, Thompson JJ, Pers TH. Genetic mapping of etiologic brain cell types for obesity. Elife. 2020;9:e55851. doi: https://doi.org/10.7554/eLife.55851</mixed-citation></citation-alternatives></ref><ref id="cit73"><label>73</label><citation-alternatives><mixed-citation xml:lang="ru">Wabitsch M, Funcke JB, Lennerz B, et al. Biologically inactive leptin and early-onset extreme obesity. N Engl J Med. 2015;372(1):48-54. doi: https://doi.org/10.1056/NEJMoa1406653</mixed-citation><mixed-citation xml:lang="en">Wabitsch M, Funcke JB, Lennerz B, et al. Biologically inactive leptin and early-onset extreme obesity. N Engl J Med. 2015;372(1):48-54. doi: https://doi.org/10.1056/NEJMoa1406653</mixed-citation></citation-alternatives></ref><ref id="cit74"><label>74</label><citation-alternatives><mixed-citation xml:lang="ru">Santos JL, Cortés VA. Eating behaviour in contrasting adiposity phenotypes: Monogenic obesity and congenital generalized lipodystrophy. Obes Rev. 2021;22(1). doi: https://doi.org/10.1111/obr.13114</mixed-citation><mixed-citation xml:lang="en">Santos JL, Cortés VA. Eating behaviour in contrasting adiposity phenotypes: Monogenic obesity and congenital generalized lipodystrophy. Obes Rev. 2021;22(1). doi: https://doi.org/10.1111/obr.13114</mixed-citation></citation-alternatives></ref><ref id="cit75"><label>75</label><citation-alternatives><mixed-citation xml:lang="ru">Paz-Filho G, Mastronardi CA, Licinio J. Leptin treatment: facts and expectations. Metabolism. 2015;64(1):146-156. doi: https://doi.org/10.1016/j.metabol.2014.07.014</mixed-citation><mixed-citation xml:lang="en">Paz-Filho G, Mastronardi CA, Licinio J. Leptin treatment: facts and expectations. Metabolism. 2015;64(1):146-156. doi: https://doi.org/10.1016/j.metabol.2014.07.014</mixed-citation></citation-alternatives></ref><ref id="cit76"><label>76</label><citation-alternatives><mixed-citation xml:lang="ru">Lu X-Y. The leptin hypothesis of depression: a potential link between mood disorders and obesity? Current opinion in pharmacology. 2007;7(6):648-652. doi: https://doi.org/10.1016/j.coph.2007.10.010</mixed-citation><mixed-citation xml:lang="en">Lu X-Y. The leptin hypothesis of depression: a potential link between mood disorders and obesity? Current opinion in pharmacology. 2007;7(6):648-652. doi: https://doi.org/10.1016/j.coph.2007.10.010</mixed-citation></citation-alternatives></ref><ref id="cit77"><label>77</label><citation-alternatives><mixed-citation xml:lang="ru">Domingos AI, Vaynshteyn J, Voss HU, et al. Leptin regulates the reward value of nutrient. Nature Neuroscience. 2011;14(12):1562-1568. doi: https://doi.org/10.1038/nn.2977</mixed-citation><mixed-citation xml:lang="en">Domingos AI, Vaynshteyn J, Voss HU, et al. Leptin regulates the reward value of nutrient. Nature Neuroscience. 2011;14(12):1562-1568. doi: https://doi.org/10.1038/nn.2977</mixed-citation></citation-alternatives></ref><ref id="cit78"><label>78</label><citation-alternatives><mixed-citation xml:lang="ru">Yoshida R, Noguchi K, Shigemura N, et al. Leptin Suppresses Mouse Taste Cell Responses to Sweet Compounds. Diabetes. 2015;64(11):3751-3762. doi: https://doi.org/10.2337/db14-1462</mixed-citation><mixed-citation xml:lang="en">Yoshida R, Noguchi K, Shigemura N, et al. Leptin Suppresses Mouse Taste Cell Responses to Sweet Compounds. Diabetes. 2015;64(11):3751-3762. doi: https://doi.org/10.2337/db14-1462</mixed-citation></citation-alternatives></ref><ref id="cit79"><label>79</label><citation-alternatives><mixed-citation xml:lang="ru">Rohde K, Keller M, Horstmann A, et al. Role of genetic variants in ADIPOQ in human eating behavior. Genes &amp; Nutrition. 2014;10(1):1. doi: https://doi.org/10.1007/s12263-014-0449-8</mixed-citation><mixed-citation xml:lang="en">Rohde K, Keller M, Horstmann A, et al. Role of genetic variants in ADIPOQ in human eating behavior. Genes &amp; Nutrition. 2014;10(1):1. doi: https://doi.org/10.1007/s12263-014-0449-8</mixed-citation></citation-alternatives></ref><ref id="cit80"><label>80</label><citation-alternatives><mixed-citation xml:lang="ru">Ma W, Huang T, Heianza Y, et al. Genetic Variations of Circulating Adiponectin Levels Modulate Changes in Appetite in Response to Weight-Loss Diets. J Clin Endocrinol Metab. 2017;102(1):316-325. doi: https://doi.org/10.1210/jc.2016-2909</mixed-citation><mixed-citation xml:lang="en">Ma W, Huang T, Heianza Y, et al. Genetic Variations of Circulating Adiponectin Levels Modulate Changes in Appetite in Response to Weight-Loss Diets. J Clin Endocrinol Metab. 2017;102(1):316-325. doi: https://doi.org/10.1210/jc.2016-2909</mixed-citation></citation-alternatives></ref><ref id="cit81"><label>81</label><citation-alternatives><mixed-citation xml:lang="ru">Khalil RB, El Hachem C. Adiponectin in eating disorders. Eat Weight Disord. 2014;19(1):3-10. doi: https://doi.org/10.1007/s40519-013-0094-z</mixed-citation><mixed-citation xml:lang="en">Khalil RB, El Hachem C. Adiponectin in eating disorders. Eat Weight Disord. 2014;19(1):3-10. doi: https://doi.org/10.1007/s40519-013-0094-z</mixed-citation></citation-alternatives></ref><ref id="cit82"><label>82</label><citation-alternatives><mixed-citation xml:lang="ru">Kubota N, Yano W, Kubota T, et al. Adiponectin stimulates AMP-activated protein kinase in the hypothalamus and increases food intake. Cell Metab. 2007;6(1):55-68. doi: https://doi.org/10.1016/j.cmet.2007.06.003</mixed-citation><mixed-citation xml:lang="en">Kubota N, Yano W, Kubota T, et al. Adiponectin stimulates AMP-activated protein kinase in the hypothalamus and increases food intake. Cell Metab. 2007;6(1):55-68. doi: https://doi.org/10.1016/j.cmet.2007.06.003</mixed-citation></citation-alternatives></ref><ref id="cit83"><label>83</label><citation-alternatives><mixed-citation xml:lang="ru">Bravo C, Cataldo LR, Galgani J, et al. Leptin/Adiponectin Ratios Using Either Total Or High-Molecular-Weight Adiponectin as Biomarkers of Systemic Insulin Sensitivity in Normoglycemic Women. J Diabetes Res. 2017;2017:1-11. doi: https://doi.org/10.1155/2017/9031079</mixed-citation><mixed-citation xml:lang="en">Bravo C, Cataldo LR, Galgani J, et al. Leptin/Adiponectin Ratios Using Either Total Or High-Molecular-Weight Adiponectin as Biomarkers of Systemic Insulin Sensitivity in Normoglycemic Women. J Diabetes Res. 2017;2017:1-11. doi: https://doi.org/10.1155/2017/9031079</mixed-citation></citation-alternatives></ref><ref id="cit84"><label>84</label><citation-alternatives><mixed-citation xml:lang="ru">Vasseur F, Meyre D, Froguel P. Adiponectin, type 2 diabetes and the metabolic syndrome: lessons from human genetic studies. Expert Rev Mol Med. 2006;8(27):1-12. doi: https://doi.org/10.1017/S1462399406000147</mixed-citation><mixed-citation xml:lang="en">Vasseur F, Meyre D, Froguel P. Adiponectin, type 2 diabetes and the metabolic syndrome: lessons from human genetic studies. Expert Rev Mol Med. 2006;8(27):1-12. doi: https://doi.org/10.1017/S1462399406000147</mixed-citation></citation-alternatives></ref><ref id="cit85"><label>85</label><citation-alternatives><mixed-citation xml:lang="ru">Savage DC. Microbial ecology of the gastrointestinal tract. Annual review of microbiology. 1977;31(1):107-133. doi: https://doi.org/10.1146/annurev.mi.31.100177.000543</mixed-citation><mixed-citation xml:lang="en">Savage DC. Microbial ecology of the gastrointestinal tract. Annual review of microbiology. 1977;31(1):107-133. doi: https://doi.org/10.1146/annurev.mi.31.100177.000543</mixed-citation></citation-alternatives></ref><ref id="cit86"><label>86</label><citation-alternatives><mixed-citation xml:lang="ru">Tseng C-H, Wu C-Y. The gut microbiome in obesity. Journal of the Formosan Medical Association. 2019;118:S3-S9. doi: https://doi.org/10.1016/j.jfma.2018.07.009</mixed-citation><mixed-citation xml:lang="en">Tseng C-H, Wu C-Y. The gut microbiome in obesity. Journal of the Formosan Medical Association. 2019;118:S3-S9. doi: https://doi.org/10.1016/j.jfma.2018.07.009</mixed-citation></citation-alternatives></ref><ref id="cit87"><label>87</label><citation-alternatives><mixed-citation xml:lang="ru">Sender R, Fuchs S, Milo R. Are We Really Vastly Outnumbered? Revisiting the Ratio of Bacterial to Host Cells in Humans. Cell. 2016;164(3):337-340. doi: https://doi.org/10.1016/j.cell.2016.01.013</mixed-citation><mixed-citation xml:lang="en">Sender R, Fuchs S, Milo R. Are We Really Vastly Outnumbered? Revisiting the Ratio of Bacterial to Host Cells in Humans. Cell. 2016;164(3):337-340. doi: https://doi.org/10.1016/j.cell.2016.01.013</mixed-citation></citation-alternatives></ref><ref id="cit88"><label>88</label><citation-alternatives><mixed-citation xml:lang="ru">Krautkramer KA, Fan J, Bäckhed F. Gut microbial metabolites as multi-kingdom intermediates. Nature Reviews Microbiology. 2021;19(2):77-94. doi: https://doi.org/10.1038/s41579-020-0438-4</mixed-citation><mixed-citation xml:lang="en">Krautkramer KA, Fan J, Bäckhed F. Gut microbial metabolites as multi-kingdom intermediates. Nature Reviews Microbiology. 2021;19(2):77-94. doi: https://doi.org/10.1038/s41579-020-0438-4</mixed-citation></citation-alternatives></ref><ref id="cit89"><label>89</label><citation-alternatives><mixed-citation xml:lang="ru">Meijnikman AS, Gerdes VE, Nieuwdorp M, et al. Evaluating Causality of Gut Microbiota in Obesity and Diabetes in Humans. Endocrine Reviews. 2018;39(2):133-153. doi: https://doi.org/10.1210/er.2017-00192</mixed-citation><mixed-citation xml:lang="en">Meijnikman AS, Gerdes VE, Nieuwdorp M, et al. Evaluating Causality of Gut Microbiota in Obesity and Diabetes in Humans. Endocrine Reviews. 2018;39(2):133-153. doi: https://doi.org/10.1210/er.2017-00192</mixed-citation></citation-alternatives></ref><ref id="cit90"><label>90</label><citation-alternatives><mixed-citation xml:lang="ru">Ley RE, Turnbaugh PJ, Klein S, et al. Human gut microbes associated with obesity. Nature. 2006;444(7122):1022-1023. doi: https://doi.org/10.1038/4441022a</mixed-citation><mixed-citation xml:lang="en">Ley RE, Turnbaugh PJ, Klein S, et al. Human gut microbes associated with obesity. Nature. 2006;444(7122):1022-1023. doi: https://doi.org/10.1038/4441022a</mixed-citation></citation-alternatives></ref><ref id="cit91"><label>91</label><citation-alternatives><mixed-citation xml:lang="ru">Zhao L. The gut microbiota and obesity: from correlation to causality. Nature Reviews Microbiology. 2013;11(9):639-647. doi: https://doi.org/10.1038/nrmicro3089</mixed-citation><mixed-citation xml:lang="en">Zhao L. The gut microbiota and obesity: from correlation to causality. Nature Reviews Microbiology. 2013;11(9):639-647. doi: https://doi.org/10.1038/nrmicro3089</mixed-citation></citation-alternatives></ref><ref id="cit92"><label>92</label><citation-alternatives><mixed-citation xml:lang="ru">Turnbaugh PJ, Hamady M, Yatsunenko T, et al. A core gut microbiome in obese and lean twins. Nature. 2009;457(7228):480-484. doi: https://doi.org/10.1038/nature07540</mixed-citation><mixed-citation xml:lang="en">Turnbaugh PJ, Hamady M, Yatsunenko T, et al. A core gut microbiome in obese and lean twins. Nature. 2009;457(7228):480-484. doi: https://doi.org/10.1038/nature07540</mixed-citation></citation-alternatives></ref><ref id="cit93"><label>93</label><citation-alternatives><mixed-citation xml:lang="ru">Bäckhed F, Ding H, Wang T, et al. The gut microbiota as an environmental factor that regulates fat storage. Proceedings of the National Academy of Sciences. 2004;101(44):15718-15723. doi: https://doi.org/10.1073/pnas.0407076101</mixed-citation><mixed-citation xml:lang="en">Bäckhed F, Ding H, Wang T, et al. The gut microbiota as an environmental factor that regulates fat storage. Proceedings of the National Academy of Sciences. 2004;101(44):15718-15723. doi: https://doi.org/10.1073/pnas.0407076101</mixed-citation></citation-alternatives></ref><ref id="cit94"><label>94</label><citation-alternatives><mixed-citation xml:lang="ru">Ley RE, Bäckhed F, Turnbaugh P, et al. Obesity alters gut microbial ecology. Proceedings of the National Academy of Sciences. 2005;102(31):11070-11075. doi: https://doi.org/10.1073/pnas.0504978102</mixed-citation><mixed-citation xml:lang="en">Ley RE, Bäckhed F, Turnbaugh P, et al. Obesity alters gut microbial ecology. Proceedings of the National Academy of Sciences. 2005;102(31):11070-11075. doi: https://doi.org/10.1073/pnas.0504978102</mixed-citation></citation-alternatives></ref><ref id="cit95"><label>95</label><citation-alternatives><mixed-citation xml:lang="ru">Turnbaugh PJ, Ley RE, Mahowald MA, et al. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature. 2006;444(7122):1027. doi: https://doi.org/10.1038/nature05414</mixed-citation><mixed-citation xml:lang="en">Turnbaugh PJ, Ley RE, Mahowald MA, et al. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature. 2006;444(7122):1027. doi: https://doi.org/10.1038/nature05414</mixed-citation></citation-alternatives></ref><ref id="cit96"><label>96</label><citation-alternatives><mixed-citation xml:lang="ru">Turpin W, Espin-Garcia O, Xu W, et al. Association of host genome with intestinal microbial composition in a large healthy cohort. Nature Genetics. 2016;48(11):1413-1417. doi: https://doi.org/10.1038/ng.3693</mixed-citation><mixed-citation xml:lang="en">Turpin W, Espin-Garcia O, Xu W, et al. Association of host genome with intestinal microbial composition in a large healthy cohort. Nature Genetics. 2016;48(11):1413-1417. doi: https://doi.org/10.1038/ng.3693</mixed-citation></citation-alternatives></ref><ref id="cit97"><label>97</label><citation-alternatives><mixed-citation xml:lang="ru">Goodrich Julia K, Waters Jillian L, Poole Angela C, et al. Human Genetics Shape the Gut Microbiome. Cell. 2014;159(4):789-799. doi: https://doi.org/https://doi.org/10.1016/j.cell.2014.09.053</mixed-citation><mixed-citation xml:lang="en">Goodrich Julia K, Waters Jillian L, Poole Angela C, et al. Human Genetics Shape the Gut Microbiome. Cell. 2014;159(4):789-799. doi: https://doi.org/https://doi.org/10.1016/j.cell.2014.09.053</mixed-citation></citation-alternatives></ref><ref id="cit98"><label>98</label><citation-alternatives><mixed-citation xml:lang="ru">Bonder MJ, Kurilshikov A, Tigchelaar EF, et al. The effect of host genetics on the gut microbiome. Nat Genet. 2016;48(11):1407-1412. doi: https://doi.org/10.1038/ng.3663</mixed-citation><mixed-citation xml:lang="en">Bonder MJ, Kurilshikov A, Tigchelaar EF, et al. The effect of host genetics on the gut microbiome. Nat Genet. 2016;48(11):1407-1412. doi: https://doi.org/10.1038/ng.3663</mixed-citation></citation-alternatives></ref><ref id="cit99"><label>99</label><citation-alternatives><mixed-citation xml:lang="ru">Crost EH, Le Gall G, Laverde-Gomez JA, et al. Mechanistic Insights Into the Cross-Feeding of Ruminococcus gnavus and Ruminococcus bromii on Host and Dietary Carbohydrates. Front Microbiol. 2018;9:2558. doi: https://doi.org/10.3389/fmicb.2018.02558</mixed-citation><mixed-citation xml:lang="en">Crost EH, Le Gall G, Laverde-Gomez JA, et al. Mechanistic Insights Into the Cross-Feeding of Ruminococcus gnavus and Ruminococcus bromii on Host and Dietary Carbohydrates. Front Microbiol. 2018;9:2558. doi: https://doi.org/10.3389/fmicb.2018.02558</mixed-citation></citation-alternatives></ref><ref id="cit100"><label>100</label><citation-alternatives><mixed-citation xml:lang="ru">Kurilshikov A, Medina-Gomez C, Bacigalupe R, et al. Large-scale association analyses identify host factors influencing human gut microbiome composition. Nat Genet. 2021;53(2):156-165. doi: https://doi.org/10.1038/s41588-020-00763-1</mixed-citation><mixed-citation xml:lang="en">Kurilshikov A, Medina-Gomez C, Bacigalupe R, et al. Large-scale association analyses identify host factors influencing human gut microbiome composition. Nat Genet. 2021;53(2):156-165. doi: https://doi.org/10.1038/s41588-020-00763-1</mixed-citation></citation-alternatives></ref><ref id="cit101"><label>101</label><citation-alternatives><mixed-citation xml:lang="ru">Yoshii K, Hosomi K, Sawane K, et al. Metabolism of Dietary and Microbial Vitamin B Family in the Regulation of Host Immunity. Front Nutr. 2019;6:48. doi: https://doi.org/10.3389/fnut.2019.00048</mixed-citation><mixed-citation xml:lang="en">Yoshii K, Hosomi K, Sawane K, et al. Metabolism of Dietary and Microbial Vitamin B Family in the Regulation of Host Immunity. Front Nutr. 2019;6:48. doi: https://doi.org/10.3389/fnut.2019.00048</mixed-citation></citation-alternatives></ref><ref id="cit102"><label>102</label><citation-alternatives><mixed-citation xml:lang="ru">Rowley CA, Kendall MM. To B12 or not to B12: Five questions on the role of cobalamin in host-microbial interactions. PLoS pathogens. 2019;15(1):e1007479-e1007479. doi: https://doi.org/10.1371/journal.ppat.1007479</mixed-citation><mixed-citation xml:lang="en">Rowley CA, Kendall MM. To B12 or not to B12: Five questions on the role of cobalamin in host-microbial interactions. PLoS pathogens. 2019;15(1):e1007479-e1007479. doi: https://doi.org/10.1371/journal.ppat.1007479</mixed-citation></citation-alternatives></ref><ref id="cit103"><label>103</label><citation-alternatives><mixed-citation xml:lang="ru">Rung J, Cauchi S, Albrechtsen A, et al. Genetic variant near IRS1 is associated with type 2 diabetes, insulin resistance and hyperinsulinemia. Nat Genet. 2009;41(10):1110-1115. doi: https://doi.org/10.1038/ng.443</mixed-citation><mixed-citation xml:lang="en">Rung J, Cauchi S, Albrechtsen A, et al. Genetic variant near IRS1 is associated with type 2 diabetes, insulin resistance and hyperinsulinemia. Nat Genet. 2009;41(10):1110-1115. doi: https://doi.org/10.1038/ng.443</mixed-citation></citation-alternatives></ref><ref id="cit104"><label>104</label><citation-alternatives><mixed-citation xml:lang="ru">Liu TC, Kern JT, Jain U, et al. Western diet induces Paneth cell defects through microbiome alterations and farnesoid X receptor and type I interferon activation. Cell Host Microbe. 2021;29(6):988-1001. doi: https://doi.org/10.1016/j.chom.2021.04.004</mixed-citation><mixed-citation xml:lang="en">Liu TC, Kern JT, Jain U, et al. Western diet induces Paneth cell defects through microbiome alterations and farnesoid X receptor and type I interferon activation. Cell Host Microbe. 2021;29(6):988-1001. doi: https://doi.org/10.1016/j.chom.2021.04.004</mixed-citation></citation-alternatives></ref><ref id="cit105"><label>105</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang H, DiBaise JK, Zuccolo A, et al. Human gut microbiota in obesity and after gastric bypass. Proceedings of the National Academy of Sciences. 2009;106(7):2365-2370. doi: https://doi.org/10.1073/pnas.0812600106</mixed-citation><mixed-citation xml:lang="en">Zhang H, DiBaise JK, Zuccolo A, et al. Human gut microbiota in obesity and after gastric bypass. Proceedings of the National Academy of Sciences. 2009;106(7):2365-2370. doi: https://doi.org/10.1073/pnas.0812600106</mixed-citation></citation-alternatives></ref><ref id="cit106"><label>106</label><citation-alternatives><mixed-citation xml:lang="ru">Aron-Wisnewsky J, Prifti E, Belda E, et al. Major microbiota dysbiosis in severe obesity: fate after bariatric surgery. Gut. 2019;68(1):70. doi: https://doi.org/10.1136/gutjnl-2018-316103</mixed-citation><mixed-citation xml:lang="en">Aron-Wisnewsky J, Prifti E, Belda E, et al. Major microbiota dysbiosis in severe obesity: fate after bariatric surgery. Gut. 2019;68(1):70. doi: https://doi.org/10.1136/gutjnl-2018-316103</mixed-citation></citation-alternatives></ref><ref id="cit107"><label>107</label><citation-alternatives><mixed-citation xml:lang="ru">West KA, Kanu C, Maric T, et al. Longitudinal metabolic and gut bacterial profiling of pregnant women with previous bariatric surgery. Gut. 2020;69(8):1452-1459. doi: https://doi.org/10.1136/gutjnl-2019-319620</mixed-citation><mixed-citation xml:lang="en">West KA, Kanu C, Maric T, et al. Longitudinal metabolic and gut bacterial profiling of pregnant women with previous bariatric surgery. Gut. 2020;69(8):1452-1459. doi: https://doi.org/10.1136/gutjnl-2019-319620</mixed-citation></citation-alternatives></ref><ref id="cit108"><label>108</label><citation-alternatives><mixed-citation xml:lang="ru">Davies N, O’Sullivan JM, Plank LD, et al. Gut Microbial Predictors of Type 2 Diabetes Remission Following Bariatric Surgery. Obes Surg. 2020;30(9):3536-3548. doi: https://doi.org/10.1007/s11695-020-04684-0</mixed-citation><mixed-citation xml:lang="en">Davies N, O’Sullivan JM, Plank LD, et al. Gut Microbial Predictors of Type 2 Diabetes Remission Following Bariatric Surgery. Obes Surg. 2020;30(9):3536-3548. doi: https://doi.org/10.1007/s11695-020-04684-0</mixed-citation></citation-alternatives></ref><ref id="cit109"><label>109</label><citation-alternatives><mixed-citation xml:lang="ru">Mabey JG, Chaston JM, Castro DG, et al. Gut microbiota differs a decade after bariatric surgery relative to a nonsurgical comparison group. Surg Obes Relat Dis. 2020;16(9):1304-1311. doi: https://doi.org/10.1016/j.soard.2020.04.006</mixed-citation><mixed-citation xml:lang="en">Mabey JG, Chaston JM, Castro DG, et al. Gut microbiota differs a decade after bariatric surgery relative to a nonsurgical comparison group. Surg Obes Relat Dis. 2020;16(9):1304-1311. doi: https://doi.org/10.1016/j.soard.2020.04.006</mixed-citation></citation-alternatives></ref><ref id="cit110"><label>110</label><citation-alternatives><mixed-citation xml:lang="ru">Ilhan ZE, DiBaise JK, Dautel SE, et al. Temporospatial shifts in the human gut microbiome and metabolome after gastric bypass surgery. npj Biofilms Microbiomes. 2020;6(1):12. doi: https://doi.org/10.1038/s41522-020-0122-5</mixed-citation><mixed-citation xml:lang="en">Ilhan ZE, DiBaise JK, Dautel SE, et al. Temporospatial shifts in the human gut microbiome and metabolome after gastric bypass surgery. npj Biofilms Microbiomes. 2020;6(1):12. doi: https://doi.org/10.1038/s41522-020-0122-5</mixed-citation></citation-alternatives></ref><ref id="cit111"><label>111</label><citation-alternatives><mixed-citation xml:lang="ru">Palaiodimos L, Kokkinidis DG, Li W, et al. Severe obesity, increasing age and male sex are independently associated with worse inhospital outcomes, and higher in-hospital mortality, in a cohort of patients with COVID-19 in the Bronx, New York. Metabolism. 2020;108:154262. doi: https://doi.org/10.1016/j.metabol.2020.154262</mixed-citation><mixed-citation xml:lang="en">Palaiodimos L, Kokkinidis DG, Li W, et al. Severe obesity, increasing age and male sex are independently associated with worse inhospital outcomes, and higher in-hospital mortality, in a cohort of patients with COVID-19 in the Bronx, New York. Metabolism. 2020;108:154262. doi: https://doi.org/10.1016/j.metabol.2020.154262</mixed-citation></citation-alternatives></ref><ref id="cit112"><label>112</label><citation-alternatives><mixed-citation xml:lang="ru">Petrilli CM, Jones SA, Yang J, et al. Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study. BMJ. 2020;369:m1966. doi: https://doi.org/10.1136/bmj.m1966</mixed-citation><mixed-citation xml:lang="en">Petrilli CM, Jones SA, Yang J, et al. Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study. BMJ. 2020;369:m1966. doi: https://doi.org/10.1136/bmj.m1966</mixed-citation></citation-alternatives></ref><ref id="cit113"><label>113</label><citation-alternatives><mixed-citation xml:lang="ru">Kalligeros M, Shehadeh F, Mylona EK, et al. Association of Obesity with Disease Severity Among Patients with Coronavirus Disease 2019. Obesity (Silver Spring). 2020;28(7):1200-1204. doi: https://doi.org/10.1002/oby.22859</mixed-citation><mixed-citation xml:lang="en">Kalligeros M, Shehadeh F, Mylona EK, et al. Association of Obesity with Disease Severity Among Patients with Coronavirus Disease 2019. Obesity (Silver Spring). 2020;28(7):1200-1204. doi: https://doi.org/10.1002/oby.22859</mixed-citation></citation-alternatives></ref><ref id="cit114"><label>114</label><citation-alternatives><mixed-citation xml:lang="ru">Simonnet A, Chetboun M, Poissy J, et al. High Prevalence of Obesity in Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) Requiring Invasive Mechanical Ventilation. Obesity (Silver Spring). 2020;28(7):1195-1199. doi: https://doi.org/10.1002/oby.22831</mixed-citation><mixed-citation xml:lang="en">Simonnet A, Chetboun M, Poissy J, et al. High Prevalence of Obesity in Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) Requiring Invasive Mechanical Ventilation. Obesity (Silver Spring). 2020;28(7):1195-1199. doi: https://doi.org/10.1002/oby.22831</mixed-citation></citation-alternatives></ref><ref id="cit115"><label>115</label><citation-alternatives><mixed-citation xml:lang="ru">Hur K, Price CPE, Gray EL, et al. Factors Associated With Intubation and Prolonged Intubation in Hospitalized Patients With COVID-19. Otolaryngol Head Neck Surg. 2020;163(1):170-178. doi: https://doi.org/10.1177/0194599820929640</mixed-citation><mixed-citation xml:lang="en">Hur K, Price CPE, Gray EL, et al. Factors Associated With Intubation and Prolonged Intubation in Hospitalized Patients With COVID-19. Otolaryngol Head Neck Surg. 2020;163(1):170-178. doi: https://doi.org/10.1177/0194599820929640</mixed-citation></citation-alternatives></ref><ref id="cit116"><label>116</label><citation-alternatives><mixed-citation xml:lang="ru">Tartof SY, Qian L, Hong V, et al. Obesity and Mortality Among Patients Diagnosed With COVID-19: Results From an Integrated Health Care Organization. Ann Intern Med. 2020;173(10):773-781. doi: https://doi.org/10.7326/M20-3742</mixed-citation><mixed-citation xml:lang="en">Tartof SY, Qian L, Hong V, et al. Obesity and Mortality Among Patients Diagnosed With COVID-19: Results From an Integrated Health Care Organization. Ann Intern Med. 2020;173(10):773-781. doi: https://doi.org/10.7326/M20-3742</mixed-citation></citation-alternatives></ref><ref id="cit117"><label>117</label><citation-alternatives><mixed-citation xml:lang="ru">Ko JY, Danielson ML, Town M, et al. Risk Factors for Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization: COVID-19–Associated Hospitalization Surveillance Network and Behavioral Risk Factor Surveillance System. Clin Infect Dis. 2021;72(11):e695-e703. doi: https://doi.org/10.1093/cid/ciaa1419</mixed-citation><mixed-citation xml:lang="en">Ko JY, Danielson ML, Town M, et al. Risk Factors for Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization: COVID-19–Associated Hospitalization Surveillance Network and Behavioral Risk Factor Surveillance System. Clin Infect Dis. 2021;72(11):e695-e703. doi: https://doi.org/10.1093/cid/ciaa1419</mixed-citation></citation-alternatives></ref><ref id="cit118"><label>118</label><citation-alternatives><mixed-citation xml:lang="ru">Zhu Z, Hasegawa K, Ma B, Fujiogi M, Camargo CA, Liang L. Association of obesity and its genetic predisposition with the risk of severe COVID-19: Analysis of population-based cohort data. Metabolism. 2020;112:154345. doi: https://doi.org/10.1016/j.metabol.2020.154345</mixed-citation><mixed-citation xml:lang="en">Zhu Z, Hasegawa K, Ma B, Fujiogi M, Camargo CA, Liang L. Association of obesity and its genetic predisposition with the risk of severe COVID-19: Analysis of population-based cohort data. Metabolism. 2020;112:154345. doi: https://doi.org/10.1016/j.metabol.2020.154345</mixed-citation></citation-alternatives></ref><ref id="cit119"><label>119</label><citation-alternatives><mixed-citation xml:lang="ru">Ellinghaus D, Degenhardt F, Bujanda L, et al. Genomewide Association Study of Severe Covid-19 with Respiratory Failure. N Engl J Med. 2020;383(16):1522-1534. doi: https://doi.org/10.1056/NEJMoa2020283</mixed-citation><mixed-citation xml:lang="en">Ellinghaus D, Degenhardt F, Bujanda L, et al. Genomewide Association Study of Severe Covid-19 with Respiratory Failure. N Engl J Med. 2020;383(16):1522-1534. doi: https://doi.org/10.1056/NEJMoa2020283</mixed-citation></citation-alternatives></ref><ref id="cit120"><label>120</label><citation-alternatives><mixed-citation xml:lang="ru">Shelton JF, Shastri AJ, Ye C, et al. Trans-ancestry analysis reveals genetic and nongenetic associations with COVID-19 susceptibility and severity. Nature Genetics. 2021;53(6):801-808. doi: https://doi.org/10.1038/s41588-021-00854-7</mixed-citation><mixed-citation xml:lang="en">Shelton JF, Shastri AJ, Ye C, et al. Trans-ancestry analysis reveals genetic and nongenetic associations with COVID-19 susceptibility and severity. Nature Genetics. 2021;53(6):801-808. doi: https://doi.org/10.1038/s41588-021-00854-7</mixed-citation></citation-alternatives></ref><ref id="cit121"><label>121</label><citation-alternatives><mixed-citation xml:lang="ru">Pulit SL, Stoneman C, Morris AP, et al. Meta-analysis of genomewide association studies for body fat distribution in 694 649 individuals of European ancestry. Hum Mol Genet. 2019;28(1):166-174. doi: https://doi.org/10.1093/hmg/ddy327</mixed-citation><mixed-citation xml:lang="en">Pulit SL, Stoneman C, Morris AP, et al. Meta-analysis of genomewide association studies for body fat distribution in 694 649 individuals of European ancestry. Hum Mol Genet. 2019;28(1):166-174. doi: https://doi.org/10.1093/hmg/ddy327</mixed-citation></citation-alternatives></ref><ref id="cit122"><label>122</label><citation-alternatives><mixed-citation xml:lang="ru">Dubé M-P, Lemaçon A, Barhdadi A, et al. Genetics of symptom remission in outpatients with COVID-19. Scientific Reports. 2021;11(1):10847. doi: https://doi.org/10.1038/s41598-021-90365-6</mixed-citation><mixed-citation xml:lang="en">Dubé M-P, Lemaçon A, Barhdadi A, et al. Genetics of symptom remission in outpatients with COVID-19. Scientific Reports. 2021;11(1):10847. doi: https://doi.org/10.1038/s41598-021-90365-6</mixed-citation></citation-alternatives></ref><ref id="cit123"><label>123</label><citation-alternatives><mixed-citation xml:lang="ru">Roos J, Dahlhaus M, Funcke J-B, et al. miR-146a regulates insulin sensitivity via NPR3. Cellular and Molecular Life Sciences. 2021;78(6):2987-3003. doi: https://doi.org/10.1007/s00018-020-03699-1</mixed-citation><mixed-citation xml:lang="en">Roos J, Dahlhaus M, Funcke J-B, et al. miR-146a regulates insulin sensitivity via NPR3. Cellular and Molecular Life Sciences. 2021;78(6):2987-3003. doi: https://doi.org/10.1007/s00018-020-03699-1</mixed-citation></citation-alternatives></ref><ref id="cit124"><label>124</label><citation-alternatives><mixed-citation xml:lang="ru">Aung N, Khanji MY, Munroe PB, Petersen SE. Causal Inference for Genetic Obesity, Cardiometabolic Profile and COVID-19 Susceptibility: A Mendelian Randomization Study. Front Genet. 2020;11. doi: https://doi.org/10.3389/fgene.2020.586308</mixed-citation><mixed-citation xml:lang="en">Aung N, Khanji MY, Munroe PB, Petersen SE. Causal Inference for Genetic Obesity, Cardiometabolic Profile and COVID-19 Susceptibility: A Mendelian Randomization Study. Front Genet. 2020;11. doi: https://doi.org/10.3389/fgene.2020.586308</mixed-citation></citation-alternatives></ref><ref id="cit125"><label>125</label><citation-alternatives><mixed-citation xml:lang="ru">Zhou P, Yang XL, Wang XG, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020;579(7798):270-273. doi: https://doi.org/10.1038/s41586-020-2012-7</mixed-citation><mixed-citation xml:lang="en">Zhou P, Yang XL, Wang XG, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020;579(7798):270-273. doi: https://doi.org/10.1038/s41586-020-2012-7</mixed-citation></citation-alternatives></ref><ref id="cit126"><label>126</label><citation-alternatives><mixed-citation xml:lang="ru">Al-Benna S. Association of high level gene expression of ACE2 in adipose tissue with mortality of COVID-19 infection in obese patients. Obes Med. 2020;19:100283. doi: https://doi.org/10.1016/j.obmed.2020.100283</mixed-citation><mixed-citation xml:lang="en">Al-Benna S. Association of high level gene expression of ACE2 in adipose tissue with mortality of COVID-19 infection in obese patients. Obes Med. 2020;19:100283. doi: https://doi.org/10.1016/j.obmed.2020.100283</mixed-citation></citation-alternatives></ref><ref id="cit127"><label>127</label><citation-alternatives><mixed-citation xml:lang="ru">Pinheiro T de A, Barcala-Jorge AS, Andrade JMO, et al. Obesity and malnutrition similarly alter the renin–angiotensin system and inflammation in mice and human adipose. J Nutr Biochem. 2017;48(11):74-82. doi: https://doi.org/10.1016/j.jnutbio.2017.06.008</mixed-citation><mixed-citation xml:lang="en">Pinheiro T de A, Barcala-Jorge AS, Andrade JMO, et al. Obesity and malnutrition similarly alter the renin–angiotensin system and inflammation in mice and human adipose. J Nutr Biochem. 2017;48(11):74-82. doi: https://doi.org/10.1016/j.jnutbio.2017.06.008</mixed-citation></citation-alternatives></ref><ref id="cit128"><label>128</label><citation-alternatives><mixed-citation xml:lang="ru">Radzikowska U, Ding M, Tan G, et al. Distribution of ACE2, CD147, CD26, and other SARS-CoV-2 associated molecules in tissues and immune cells in health and in asthma, COPD, obesity, hypertension, and COVID-19 risk factors. Allergy. 2020;75(11):2829-2845. doi: https://doi.org/10.1111/all.14429</mixed-citation><mixed-citation xml:lang="en">Radzikowska U, Ding M, Tan G, et al. Distribution of ACE2, CD147, CD26, and other SARS-CoV-2 associated molecules in tissues and immune cells in health and in asthma, COPD, obesity, hypertension, and COVID-19 risk factors. Allergy. 2020;75(11):2829-2845. doi: https://doi.org/10.1111/all.14429</mixed-citation></citation-alternatives></ref><ref id="cit129"><label>129</label><citation-alternatives><mixed-citation xml:lang="ru">Sell H, Bluher M, Kloting N, et al. Adipose dipeptidyl peptidase-4 and obesity: correlation with insulin resistance and depot-specific release from adipose tissue in vivo and in vitro. Diabetes Care. 2013;36(12):4083-4090. doi: https://doi.org/10.2337/dc13-0496</mixed-citation><mixed-citation xml:lang="en">Sell H, Bluher M, Kloting N, et al. Adipose dipeptidyl peptidase-4 and obesity: correlation with insulin resistance and depot-specific release from adipose tissue in vivo and in vitro. Diabetes Care. 2013;36(12):4083-4090. doi: https://doi.org/10.2337/dc13-0496</mixed-citation></citation-alternatives></ref><ref id="cit130"><label>130</label><citation-alternatives><mixed-citation xml:lang="ru">Bassendine MF, Bridge SH, McCaughan GW, Gorrell MD. COVID-19 and comorbidities: A role for dipeptidyl peptidase 4 in disease severity? J Diabetes. 2020;12(9):649-658. doi: https://doi.org/10.1111/1753-0407.13052</mixed-citation><mixed-citation xml:lang="en">Bassendine MF, Bridge SH, McCaughan GW, Gorrell MD. COVID-19 and comorbidities: A role for dipeptidyl peptidase 4 in disease severity? J Diabetes. 2020;12(9):649-658. doi: https://doi.org/10.1111/1753-0407.13052</mixed-citation></citation-alternatives></ref><ref id="cit131"><label>131</label><citation-alternatives><mixed-citation xml:lang="ru">Ritter A, Kreis NN, Louwen F, et al. Obesity and COVID-19: Molecular Mechanisms Linking Both Pandemics. Int J Mol Sci. 2020;21(16):5793. doi: https://doi.org/10.3390/ijms21165793</mixed-citation><mixed-citation xml:lang="en">Ritter A, Kreis NN, Louwen F, et al. Obesity and COVID-19: Molecular Mechanisms Linking Both Pandemics. Int J Mol Sci. 2020;21(16):5793. doi: https://doi.org/10.3390/ijms21165793</mixed-citation></citation-alternatives></ref><ref id="cit132"><label>132</label><citation-alternatives><mixed-citation xml:lang="ru">Yanagimachi T, Fujita Y, Takeda Y, et al. Dipeptidyl peptidase-4 inhibitor treatment induces a greater increase in plasma levels of bioactive GIP than GLP-1 in nondiabetic subjects. Molecular Metabolism. 2017;62:226-231. doi: https://doi.org/10.1016/j.molmet.2016.12.009</mixed-citation><mixed-citation xml:lang="en">Yanagimachi T, Fujita Y, Takeda Y, et al. Dipeptidyl peptidase-4 inhibitor treatment induces a greater increase in plasma levels of bioactive GIP than GLP-1 in nondiabetic subjects. Molecular Metabolism. 2017;62:226-231. doi: https://doi.org/10.1016/j.molmet.2016.12.009</mixed-citation></citation-alternatives></ref><ref id="cit133"><label>133</label><citation-alternatives><mixed-citation xml:lang="ru">Marques AP, Cunha-Santos J, Leal H, et al. Dipeptidyl peptidase IV (DPP-IV) inhibition prevents fibrosis in adipose tissue of obese mice. Biochim Biophys Acta Gen Subj. 2018;1862(3):403-413. doi: https://doi.org/10.1016/j.bbagen.2017.11.012</mixed-citation><mixed-citation xml:lang="en">Marques AP, Cunha-Santos J, Leal H, et al. Dipeptidyl peptidase IV (DPP-IV) inhibition prevents fibrosis in adipose tissue of obese mice. Biochim Biophys Acta Gen Subj. 2018;1862(3):403-413. doi: https://doi.org/10.1016/j.bbagen.2017.11.012</mixed-citation></citation-alternatives></ref><ref id="cit134"><label>134</label><citation-alternatives><mixed-citation xml:lang="ru">Rohrborn D, Eckel J, Sell H. Shedding of dipeptidyl peptidase 4 is mediated by metalloproteases and upregulated by hypoxia in human adipocytes and smooth muscle cells. Febs Letters. 2014;588(21):3870-3877. doi: https://doi.org/10.1016/j.febslet.2014.08.029</mixed-citation><mixed-citation xml:lang="en">Rohrborn D, Eckel J, Sell H. Shedding of dipeptidyl peptidase 4 is mediated by metalloproteases and upregulated by hypoxia in human adipocytes and smooth muscle cells. Febs Letters. 2014;588(21):3870-3877. doi: https://doi.org/10.1016/j.febslet.2014.08.029</mixed-citation></citation-alternatives></ref><ref id="cit135"><label>135</label><citation-alternatives><mixed-citation xml:lang="ru">Gallwitz B. Clinical Use of DPP-4 Inhibitors. Front Endocrinol (Lausanne). 2019;10. doi: https://doi.org/10.3389/fendo.2019.00389</mixed-citation><mixed-citation xml:lang="en">Gallwitz B. Clinical Use of DPP-4 Inhibitors. Front Endocrinol (Lausanne). 2019;10. doi: https://doi.org/10.3389/fendo.2019.00389</mixed-citation></citation-alternatives></ref><ref id="cit136"><label>136</label><citation-alternatives><mixed-citation xml:lang="ru">Song J, Li Y, Huang X, et al. Systematic analysis of ACE2 and TMPRSS2 expression in salivary glands reveals underlying transmission mechanism caused by SARS-CoV-2. J Med Virol. 2020;92(11):2556-2566. doi: https://doi.org/10.1002/jmv.26045</mixed-citation><mixed-citation xml:lang="en">Song J, Li Y, Huang X, et al. Systematic analysis of ACE2 and TMPRSS2 expression in salivary glands reveals underlying transmission mechanism caused by SARS-CoV-2. J Med Virol. 2020;92(11):2556-2566. doi: https://doi.org/10.1002/jmv.26045</mixed-citation></citation-alternatives></ref><ref id="cit137"><label>137</label><citation-alternatives><mixed-citation xml:lang="ru">Shin K, Pandey A, Liu XQ, et al. Preferential apelin-13 production by the proprotein convertase PCSK3 is implicated in obesity. Febs Open Bio. 2013;3:328-333. doi: https://doi.org/10.1016/j.fob.2013.08.001</mixed-citation><mixed-citation xml:lang="en">Shin K, Pandey A, Liu XQ, et al. Preferential apelin-13 production by the proprotein convertase PCSK3 is implicated in obesity. Febs Open Bio. 2013;3:328-333. doi: https://doi.org/10.1016/j.fob.2013.08.001</mixed-citation></citation-alternatives></ref><ref id="cit138"><label>138</label><citation-alternatives><mixed-citation xml:lang="ru">Cyranoski D. Profile of a killer: the complex biology powering the coronavirus pandemic. Nature. 2020;581(7806):22-26. doi: https://doi.org/10.1038/d41586-020-01315-7</mixed-citation><mixed-citation xml:lang="en">Cyranoski D. Profile of a killer: the complex biology powering the coronavirus pandemic. Nature. 2020;581(7806):22-26. doi: https://doi.org/10.1038/d41586-020-01315-7</mixed-citation></citation-alternatives></ref><ref id="cit139"><label>139</label><citation-alternatives><mixed-citation xml:lang="ru">Cinti S, Mitchell G, Barbatelli G, et al. Adipocyte death defines macrophage localization and function in adipose tissue of obese mice and humans. J Lipid Res. 2005;46(11):2347-2355. doi: https://doi.org/10.1194/jlr.M500294-JLR200</mixed-citation><mixed-citation xml:lang="en">Cinti S, Mitchell G, Barbatelli G, et al. Adipocyte death defines macrophage localization and function in adipose tissue of obese mice and humans. J Lipid Res. 2005;46(11):2347-2355. doi: https://doi.org/10.1194/jlr.M500294-JLR200</mixed-citation></citation-alternatives></ref><ref id="cit140"><label>140</label><citation-alternatives><mixed-citation xml:lang="ru">Marques-Vidal P, Bastardot F, von Känel R, et al. Association between circulating cytokine levels, diabetes and insulin resistance in a population-based sample (CoLaus study). Clin Endocrinol (Oxf ). 2013;78(2):232-241.doi: https://doi.org/10.1111/j.1365-2265.2012.04384.x</mixed-citation><mixed-citation xml:lang="en">Marques-Vidal P, Bastardot F, von Känel R, et al. Association between circulating cytokine levels, diabetes and insulin resistance in a population-based sample (CoLaus study). Clin Endocrinol (Oxf ). 2013;78(2):232-241.doi: https://doi.org/10.1111/j.1365-2265.2012.04384.x</mixed-citation></citation-alternatives></ref><ref id="cit141"><label>141</label><citation-alternatives><mixed-citation xml:lang="ru">Lockhart SM, O’Rahilly S. When Two Pandemics Meet: Why Is Obesity Associated with Increased COVID-19 Mortality? Med. 2020;1(1):33-42. doi: https://doi.org/10.1016/j.medj.2020.06.005</mixed-citation><mixed-citation xml:lang="en">Lockhart SM, O’Rahilly S. When Two Pandemics Meet: Why Is Obesity Associated with Increased COVID-19 Mortality? Med. 2020;1(1):33-42. doi: https://doi.org/10.1016/j.medj.2020.06.005</mixed-citation></citation-alternatives></ref><ref id="cit142"><label>142</label><citation-alternatives><mixed-citation xml:lang="ru">Kreutz R, Algharably EAE-H, Azizi M, et al. Hypertension, the renin–angiotensin system, and the risk of lower respiratory tract infections and lung injury: implications for COVID-19. Cardiovasc Res. 2020;116(10):1688-1699. doi: https://doi.org/10.1093/cvr/cvaa097</mixed-citation><mixed-citation xml:lang="en">Kreutz R, Algharably EAE-H, Azizi M, et al. Hypertension, the renin–angiotensin system, and the risk of lower respiratory tract infections and lung injury: implications for COVID-19. Cardiovasc Res. 2020;116(10):1688-1699. doi: https://doi.org/10.1093/cvr/cvaa097</mixed-citation></citation-alternatives></ref><ref id="cit143"><label>143</label><citation-alternatives><mixed-citation xml:lang="ru">Louwen F, Ritter A, Kreis N, et al. Insight into the development of obesity: functional alterations of adipose-derived mesenchymal stem cells. Obesity Reviews. 2018;19(7):888-904. doi: https://doi.org/10.1111/obr.12679</mixed-citation><mixed-citation xml:lang="en">Louwen F, Ritter A, Kreis N, et al. Insight into the development of obesity: functional alterations of adipose-derived mesenchymal stem cells. Obesity Reviews. 2018;19(7):888-904. doi: https://doi.org/10.1111/obr.12679</mixed-citation></citation-alternatives></ref><ref id="cit144"><label>144</label><citation-alternatives><mixed-citation xml:lang="ru">Ritter A, Louwen F, Yuan J, Deficient primary cilia in obese adipose-derived mesenchymal stem cells: obesity, a secondary ciliopathy? Obes Rev. 2018;19(10):1317-1328. doi: https://doi.org/10.1111/obr.12716</mixed-citation><mixed-citation xml:lang="en">Ritter A, Louwen F, Yuan J, Deficient primary cilia in obese adipose-derived mesenchymal stem cells: obesity, a secondary ciliopathy? Obes Rev. 2018;19(10):1317-1328. doi: https://doi.org/10.1111/obr.12716</mixed-citation></citation-alternatives></ref><ref id="cit145"><label>145</label><citation-alternatives><mixed-citation xml:lang="ru">Ritter A, Kreis NN, Roth S, et al. Restoration of primary cilia in obese adipose-derived mesenchymal stem cells by inhibiting Aurora A or extracellular signal-regulated kinase. Stem Cell Res Ther. 2019;10(1)255. doi: https://doi.org/10.1186/s13287-019-1373-z</mixed-citation><mixed-citation xml:lang="en">Ritter A, Kreis NN, Roth S, et al. Restoration of primary cilia in obese adipose-derived mesenchymal stem cells by inhibiting Aurora A or extracellular signal-regulated kinase. Stem Cell Res Ther. 2019;10(1)255. doi: https://doi.org/10.1186/s13287-019-1373-z</mixed-citation></citation-alternatives></ref><ref id="cit146"><label>146</label><citation-alternatives><mixed-citation xml:lang="ru">Onate B, Vilahur G, Camino-Lopez S, et al. Stem cells isolated from adipose tissue of obese patients show changes in their transcriptomic profile that indicate loss in stemcellness and increased commitment to an adipocyte-like phenotype. BMC Genomics. 2013;14(1):625. doi: https://doi.org/10.1186/1471-2164-14-625</mixed-citation><mixed-citation xml:lang="en">Onate B, Vilahur G, Camino-Lopez S, et al. Stem cells isolated from adipose tissue of obese patients show changes in their transcriptomic profile that indicate loss in stemcellness and increased commitment to an adipocyte-like phenotype. BMC Genomics. 2013;14(1):625. doi: https://doi.org/10.1186/1471-2164-14-625</mixed-citation></citation-alternatives></ref><ref id="cit147"><label>147</label><citation-alternatives><mixed-citation xml:lang="ru">Gealekman O, Guseva N, Hartigan C, et al. Depot-specific differences and insufficient subcutaneous adipose tissue angiogenesis in human obesity. Circulation. 2011;123(2):186-194. doi: https://doi.org/10.1161/CIRCULATIONAHA.110.970145</mixed-citation><mixed-citation xml:lang="en">Gealekman O, Guseva N, Hartigan C, et al. Depot-specific differences and insufficient subcutaneous adipose tissue angiogenesis in human obesity. Circulation. 2011;123(2):186-194. doi: https://doi.org/10.1161/CIRCULATIONAHA.110.970145</mixed-citation></citation-alternatives></ref><ref id="cit148"><label>148</label><citation-alternatives><mixed-citation xml:lang="ru">Oñate B, Vilahur G, Ferrer-Lorente R, et al. The subcutaneous adipose tissue reservoir of functionally active stem cells is reduced in obese patients. FASEB J. 2012;26(10):4327-4336. doi: https://doi.org/10.1096/fj.12-207217</mixed-citation><mixed-citation xml:lang="en">Oñate B, Vilahur G, Ferrer-Lorente R, et al. The subcutaneous adipose tissue reservoir of functionally active stem cells is reduced in obese patients. FASEB J. 2012;26(10):4327-4336. doi: https://doi.org/10.1096/fj.12-207217</mixed-citation></citation-alternatives></ref><ref id="cit149"><label>149</label><citation-alternatives><mixed-citation xml:lang="ru">Serena C, Keiran N, Ceperuelo-Mallafre V, et al. Obesity and Type 2 Diabetes Alters the Immune Properties of Human Adipose Derived Stem Cells. Stem Cells. 2016;34(10):2559-2573. doi: https://doi.org/10.1002/stem.2429</mixed-citation><mixed-citation xml:lang="en">Serena C, Keiran N, Ceperuelo-Mallafre V, et al. Obesity and Type 2 Diabetes Alters the Immune Properties of Human Adipose Derived Stem Cells. Stem Cells. 2016;34(10):2559-2573. doi: https://doi.org/10.1002/stem.2429</mixed-citation></citation-alternatives></ref><ref id="cit150"><label>150</label><citation-alternatives><mixed-citation xml:lang="ru">Oliva-Olivera W, Gea AL, Lhamyani S, et al. Differences in the Osteogenic Differentiation Capacity of Omental Adipose-Derived Stem Cells in Obese Patients With and Without Metabolic Syndrome. Endocrinology. 2015;156(12):4492-4501. doi: https://doi.org/10.1210/en.2015-1413</mixed-citation><mixed-citation xml:lang="en">Oliva-Olivera W, Gea AL, Lhamyani S, et al. Differences in the Osteogenic Differentiation Capacity of Omental Adipose-Derived Stem Cells in Obese Patients With and Without Metabolic Syndrome. Endocrinology. 2015;156(12):4492-4501. doi: https://doi.org/10.1210/en.2015-1413</mixed-citation></citation-alternatives></ref><ref id="cit151"><label>151</label><citation-alternatives><mixed-citation xml:lang="ru">Mariani S, Di Rocco G, Toietta G, et al. Sirtuins 1–7 expression in human adipose-derived stem cells from subcutaneous and visceral fat depots: influence of obesity and hypoxia. Endocrine. 2017;57(3):455-463. doi: https://doi.org/10.1007/s12020-016-1170-8</mixed-citation><mixed-citation xml:lang="en">Mariani S, Di Rocco G, Toietta G, et al. Sirtuins 1–7 expression in human adipose-derived stem cells from subcutaneous and visceral fat depots: influence of obesity and hypoxia. Endocrine. 2017;57(3):455-463. doi: https://doi.org/10.1007/s12020-016-1170-8</mixed-citation></citation-alternatives></ref><ref id="cit152"><label>152</label><citation-alternatives><mixed-citation xml:lang="ru">Ritter A, Friemel A, Kreis NN, et al. Primary Cilia Are Dysfunctional in Obese Adipose-Derived Mesenchymal Stem Cells. Stem Cell Reports. 2018;10(2):583-599. doi: https://doi.org/10.1016/j.stemcr.2017.12.022</mixed-citation><mixed-citation xml:lang="en">Ritter A, Friemel A, Kreis NN, et al. Primary Cilia Are Dysfunctional in Obese Adipose-Derived Mesenchymal Stem Cells. Stem Cell Reports. 2018;10(2):583-599. doi: https://doi.org/10.1016/j.stemcr.2017.12.022</mixed-citation></citation-alternatives></ref><ref id="cit153"><label>153</label><citation-alternatives><mixed-citation xml:lang="ru">Xie T, Liang J, Liu N, et al. Transcription factor TBX4 regulates myofibroblast accumulation and lung fibrosis. The Journal of clinical investigation. 2016;126(8):3063-3079. doi: https://doi.org/10.1172/JCI85328</mixed-citation><mixed-citation xml:lang="en">Xie T, Liang J, Liu N, et al. Transcription factor TBX4 regulates myofibroblast accumulation and lung fibrosis. The Journal of clinical investigation. 2016;126(8):3063-3079. doi: https://doi.org/10.1172/JCI85328</mixed-citation></citation-alternatives></ref><ref id="cit154"><label>154</label><citation-alternatives><mixed-citation xml:lang="ru">Kramann R, Schneider RK, DiRocco DP, et al. Perivascular Gli1+ Progenitors Are Key Contributors to Injury-Induced Organ Fibrosis. Cell Stem Cell. 2015;16(1):51-66. doi: https://doi.org/10.1016/j.stem.2014.11.004</mixed-citation><mixed-citation xml:lang="en">Kramann R, Schneider RK, DiRocco DP, et al. Perivascular Gli1+ Progenitors Are Key Contributors to Injury-Induced Organ Fibrosis. Cell Stem Cell. 2015;16(1):51-66. doi: https://doi.org/10.1016/j.stem.2014.11.004</mixed-citation></citation-alternatives></ref><ref id="cit155"><label>155</label><citation-alternatives><mixed-citation xml:lang="ru">Marriott S, Baskir RS, Gaskill C, et al. ABCG2 pos lung mesenchymal stem cells are a novel pericyte subpopulation that contributes to fibrotic remodeling. Am J Physiol Physiol. 2014;307(8):C684-C698. doi: https://doi.org/10.1152/ajpcell.00114.2014</mixed-citation><mixed-citation xml:lang="en">Marriott S, Baskir RS, Gaskill C, et al. ABCG2 pos lung mesenchymal stem cells are a novel pericyte subpopulation that contributes to fibrotic remodeling. Am J Physiol Physiol. 2014;307(8):C684-C698. doi: https://doi.org/10.1152/ajpcell.00114.2014</mixed-citation></citation-alternatives></ref><ref id="cit156"><label>156</label><citation-alternatives><mixed-citation xml:lang="ru">Chuang H-M, Shih TE, Lu K-Y, et al. Mesenchymal Stem Cell Therapy of Pulmonary Fibrosis. Cell Transplant. 2018;27(11):1581-1587. doi: https://doi.org/10.1177/0963689718787501</mixed-citation><mixed-citation xml:lang="en">Chuang H-M, Shih TE, Lu K-Y, et al. Mesenchymal Stem Cell Therapy of Pulmonary Fibrosis. Cell Transplant. 2018;27(11):1581-1587. doi: https://doi.org/10.1177/0963689718787501</mixed-citation></citation-alternatives></ref><ref id="cit157"><label>157</label><citation-alternatives><mixed-citation xml:lang="ru">Simones AA, Beisang DJ, Panoskaltsis-Mortari A, Roberts KD. Mesenchymal stem cells in the pathogenesis and treatment of bronchopulmonary dysplasia: a clinical review. Pediatr Res. 2018;83(1-2):308-317. doi: https://doi.org/10.1038/pr.2017.237</mixed-citation><mixed-citation xml:lang="en">Simones AA, Beisang DJ, Panoskaltsis-Mortari A, Roberts KD. Mesenchymal stem cells in the pathogenesis and treatment of bronchopulmonary dysplasia: a clinical review. Pediatr Res. 2018;83(1-2):308-317. doi: https://doi.org/10.1038/pr.2017.237</mixed-citation></citation-alternatives></ref><ref id="cit158"><label>158</label><citation-alternatives><mixed-citation xml:lang="ru">Bhattacharya D., Dwivedi V. Understanding the Role of Mesenchymal Stem Cells in Infectious Diseases: Focus on Tuberculosis, Malaria. Sepsis and HIV. Electronic J Biol 2016;12(3).</mixed-citation><mixed-citation xml:lang="en">Bhattacharya D., Dwivedi V. Understanding the Role of Mesenchymal Stem Cells in Infectious Diseases: Focus on Tuberculosis, Malaria. Sepsis and HIV. Electronic J Biol 2016;12(3).</mixed-citation></citation-alternatives></ref><ref id="cit159"><label>159</label><citation-alternatives><mixed-citation xml:lang="ru">Waldner M, Zhang W, James IB, et al. Characteristics and Immunomodulating Functions of Adipose-Derived and Bone Marrow-Derived Mesenchymal Stem Cells Across Defined Human Leukocyte Antigen Barriers. Front Immunol. 2018;9:1642. doi: https://doi.org/10.3389/fimmu.2018.01642</mixed-citation><mixed-citation xml:lang="en">Waldner M, Zhang W, James IB, et al. Characteristics and Immunomodulating Functions of Adipose-Derived and Bone Marrow-Derived Mesenchymal Stem Cells Across Defined Human Leukocyte Antigen Barriers. Front Immunol. 2018;9:1642. doi: https://doi.org/10.3389/fimmu.2018.01642</mixed-citation></citation-alternatives></ref><ref id="cit160"><label>160</label><citation-alternatives><mixed-citation xml:lang="ru">Weiss ARR, Dahlke MH. Immunomodulation by Mesenchymal Stem Cells (MSCs): Mechanisms of Action of Living, Apoptotic, and Dead MSCs. Front Immunol. 2019;10:1191. doi: https://doi.org/10.3389/fimmu.2019.01191</mixed-citation><mixed-citation xml:lang="en">Weiss ARR, Dahlke MH. Immunomodulation by Mesenchymal Stem Cells (MSCs): Mechanisms of Action of Living, Apoptotic, and Dead MSCs. Front Immunol. 2019;10:1191. doi: https://doi.org/10.3389/fimmu.2019.01191</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
