Obesity without diabetes: the role of hormonal regulation

E. A. Shestakova; Шестакова Екатерина Алексеевна; I. A. Sklyanik; Скляник Игорь Александрович; A. S. Panevina; Паневина Анна Сергеевна; L. V. Nikankina; Никанкина Лариса Вячеславовна; M. V. Shestakova; Шестакова Марина Владимировна; I. I. Dedov; Дедов Иван Иванович

doi:10.26442/00403660.2020.10.000750

Obesity without diabetes: the role of hormonal regulation

Authors: Shestakova E.A.¹, Sklyanik I.A.¹, Panevina A.S.¹, Nikankina L.V.¹, Shestakova M.V.¹, Dedov I.I.¹
Affiliations:
1. Endocrinology Research Centre
Issue: Vol 92, No 10 (2020)
Pages: 15-22
Section: Original articles
URL: https://ogarev-online.ru/0040-3660/article/view/50967
DOI: https://doi.org/10.26442/00403660.2020.10.000750
ID: 50967

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Abstract

Aim. Obese patients without diabetes present an interesting phenotype to explore protective mechanisms against type 2 diabetes (T2D) development. In our study we looked for specific hormonal features of obese patients without T2D.

Materials and methods. We included 6 groups of patients with different metabolic profiles (n=212): controls with BMI<25 kg/m², HbA_1c<6%, age <30 years; patients with 25≤BMI<30 kg/m² and HbA_1c<6%; patients with 25≤BMI<30 kg/m² and HbA_1c≥6%; patients with BMI≥30 kg/m² and HbA_1c<6% (“+ Obesity - T2D”) – obese patients without T2D or prediabetes; patients with BMI≥30 kg/m² and newly-diagnosed T2D/prediabetes, HbA_1c≥6%; patients with known history of T2D on glucose-lowering drugs with BMI≥30 kg/m². Insulin, GLP-1, GIP were measured during glucose-tolerance test at 0, 30 and 120 minutes; insulin resistance (IR) was assessed by HOMA-IR.

Results. Waist circumference was bigger in patients with obesity despite their metabolic profile comparing to patients without obesity (p<0.001). Waist-to-hip ratio was similar in patients with different metabolic status. According to IR “+ Obesity - T2D” group had intermediate position: IR was higher in that group comparing to people without obesity, but was less that in patients with obesity and HbA_1c≥6% (p<0.001). “+ Obesity - T2D” group had the most potent baseline insulin secretion, assessed by НОМА-%b and the highest postprandial secretion, measured by insulinogenic index among all patient groups with obesity (p<0.001). There was no significant difference in GLP-1 secretion; GIP secretion was higher in patients with BMI≥30 kg/m² comparing to people with BMI<30 kg/m² (p<0.01).

Keywords

obesity, type 2 diabetes, insulin resistance, visceral obesity, waist circumference, insulin, incretins, GLP-1, GIP

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акад. РАН, д.м.н., проф., президент ФГБУ «НМИЦ эндокринологии»

Russian Federation, Moscow

References

Шестакова Е.А., Лунина Е.Ю., Галстян Г.Р. и др. Распространенность нарушений углеводного обмена у лиц с различными сочетаниями факторов риска сахарного диабета 2 типа в когорте пациентов исследования NATION. Сахарный диабет. 2020;23(1):4-11 [Shestakova EA, Lunina EY, Galstyan GR, et al. Type 2 diabetes and prediabetes prevalence in patients with different risk factor combinations in the NATION study. Diabetes Mellitus. 2020;23(1):4-11 (In Russ.)]. doi: 10.14341/DM12286
Muñoz-Garach A, Cornejo-Pareja I, Tinahones FJ. Does Metabolically Healthy Obesity Exist? Nutrients. 2016;8(6):320. doi: 10.3390/nu8060320
Ortega FB, Cadenas-Sanchez C, Migueles JH, et al. Role of Physical Activity and Fitness in the Characterization and Prognosis of the Metabolically Healthy Obesity Phenotype: A Systematic Review and Meta-analysis. Prog Cardiovasc Dis. 2018;61(2):190-205. doi: 10.1016/j.pcad.2018.07.008
Nilsson PM, Korduner J, Magnusson M. Metabolically Healthy Obesity (MHO)-New Research Directions for Personalised Medicine in Cardiovascular Prevention. Curr Hypertens Rep. 2020;22(2):18. doi: 10.1007/s11906-020-1027-7
Дедов И.И., Шестакова М.В., Майоров А.Ю. и др. Алгоритмы специализированной медицинской помощи больным сахарным диабетом. Сахарный диабет. 2019;22(S1) [Dedov II, Shestakova MV, Mayorov AYu, et al. Standards of specialized diabetes care. 9th edition. Diabetes mellitus. 2019;22(S1) (In Russ)]. doi: 10.14341/DM221S1144
Rotar O, Boyarinova M, Orlov A, et al. Metabolically healthy obese and metabolically unhealthy non-obese phenotypes in a Russian population. Eur J Epidemiol. 2017;32(3):251-4. doi: 10.1007/s10654-016-0221-z
Островская Е.В., Романцова Т.И., Герасимов А.Н., Новоселова Т.Е. Распространенность метаболически здорового ожирения по данным выборки Московского региона. Ожирение и метаболизм. 2017;14(4):51-6 [Ostrovskaya EV, Romantsova TI, Gerasimov AN, Novoselova TE. The prevalence of metabolically healthy obesity according to the sample of the Moscow region. Obesity and metabolism. 2017;14(4):51-6 (In Russ.)]. doi: 10.14341/OMET2017451-56
Мустафина C.В., Щербакова Л.В., Козупеева Д.А. и др. Распространенность метаболически здорового ожирения по данным эпидемиологического обследования выборки 45–69 лет г. Новосибирска. Ожирение и метаболизм. 2018;15(4):31-7 [Mustafina SV, Shcherbakova LV, Kozupeeva DA, et al. Тhe prevalence of metabolically healthy obesity: data from the epidemiological survey in of Novosibirsk. Obesity and metabolism. 2018;15(4):31-7 (In Russ.)]. doi: 10.14341/OMET9615
de Mutsert R, Gast K, Widya R, et al. Associations of Abdominal Subcutaneous and Visceral Fat with Insulin Resistance and Secretion Differ Between Men and Women: The Netherlands Epidemiology of Obesity Study. Metab Syndr Relat Disord. 2018;16(1):54-63. doi: 10.1089/met.2017.0128
Bays H. Central obesity as a clinical marker of adiposopathy; increased visceral adiposity as a surrogate marker for global fat dysfunction. Curr Opin Endocrinol Diabetes Obes. 2014;21(5):345-51. doi: 10.1097/MED.0000000000000093
Титов В.Н., Ширинский В.П. Резистентность к инсулину – конфликт между биологическими настройками энергетического метаболизма и образом жизни человека (взгляд на проблему с эволюционных позиций). Сахарный диабет. 2016;19(4):286-94 [Titov VN, Shirinsky VP. Insulin resistance: the conflict between biological settings of energy metabolism and human lifestyle (a glance at the problem from evolutionary viewpoint). Diabetes mellitus. 2016;19(4):286-94 (In Russ.)]. doi: 10.14341/DM7959
Fang H, Berg E, Cheng X, Shen W. How to best assess abdominal obesity. Curr Opin Clin Nutr Metab Care. 2018;21(5):360-5. doi: 10.1097/MCO.0000000000000485
Брель Н.К., Коков А.Н., Груздева О.В. Достоинства и ограничения различных методов диагностики висцерального ожирения. Ожирение и метаболизм. 2018;15(4):3-8 [Brel NK, Kokov AN, Gruzdeva OV. Advantages and disadvantages of different methods for diagnosis of visceral obesity. Obesity and metabolism. 2018;15(4):3-8 (In Russ.)]. doi: 10.14341/OMET9510
Маркова Т.Н., Кичигин В.А., Диомидова В.Н. и др. Оценка объема жировой ткани антропометрическими и лучевыми методами и его связь с компонентами метаболического синдрома. Ожирение и метаболизм. 2013;2:23-7 [Markova TN, Kichigin VA, Diomidova VN, et al. Evaluation of adipose tissue mass with anthropometric and visualization methods; its relation to the components of the metabolic syndrome. Obesity and metabolism. 2013;2:23-7 (In Russ.)].
Pieńkowska J, Brzeska B, Kaszubowski M, et al. The correlation between the MRI-evaluated ectopic fat accumulation and the incidence of diabetes mellitus and hypertension depends on body mass index and waist circumference ratio. PLoS One. 2020;15(1):e0226889. doi: 10.1371/journal.pone.0226889
Thondam SK, Cuthbertson DJ, Wilding JPH. The influence of Glucose-dependent Insulinotropic Polypeptide (GIP) on human adipose tissue and fat metabolism: Implications for obesity, type 2 diabetes and Non-Alcoholic Fatty Liver Disease (NAFLD). Peptides. 2020;125:170208. doi: 10.1016/j.peptides.2019.170208
Færch K, Torekov SS, Vistisen D, et al. GLP-1 Response to Oral Glucose Is Reduced in Prediabetes, Screen-Detected Type 2 Diabetes, and Obesity and Influenced by Sex: The ADDITION-PRO Study. Diabetes. 2015;64(7):2513-25. doi: 10.2337/db14-1751
European Association for the Study of the Liver (EASL); European Association for the Study of Diabetes (EASD); European Association for the Study of Obesity (EASO). EASL-EASD-EASO Clinical Practice Guidelines for the management of non-alcoholic fatty liver disease. Diabetologia. 2016;59(6):1121-40. doi: 10.1007/s00125-016-3902-y
Руяткина Л.А., Руяткин Д.С., Исхакова И.С. Возможности и варианты суррогатной оценки инсулинорезистентности. Ожирение и метаболизм. 2019;16(1):27-32 [Ruyatkina LA, Ruyatkin DS, Iskhakova IS. Opportunities and options for surrogate assessment of insulin resistance. Obesity and metabolism. 2019;16(1):27-32 (In Russ.)]. doi: 10.14341/omet10082

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2. Fig. 1. Comparison of indicators of OT and OT / O in the study groups (statistical differences are indicated for the group "+ obesity-DM " in comparison with other groups).

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3. Fig. 2. Comparison of the HOMA-IR indicator in the study groups (statistical differences are indicated for the group "+ obesity-DM " in comparison with other groups).

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4. Fig. 3. Comparison of HOMA-%a and AI indicators in the study groups (statistical differences are indicated for the group "+ obesity-DM " in comparison with other groups).

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5. Fig. 4. Comparison of GIP secretion in the study groups (statistical differences are indicated for the group "+ obesity-DM " in comparison with other groups).

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