РАЗЛИЧИЯ ЧУВСТВИТЕЛЬНОСТИ К ИНСУЛИНУ И ФУНКЦИИ БЕТАКЛЕТОК ПОДЖЕЛУДОЧНОЙ ЖЕЛЕЗЫ СРЕДИ ПРЕДСТАВИТЕЛЕЙ ЭТНОСОВ: СИСТЕМАТИЧЕСКИЙ ОБЗОР

Получена: 09/05/2023/ Принята: 28/09/2023 / Опубликована online: 30/10/2023
УДК 616.379-008.61
DOI 10.53511/PHARMKAZ.2023.23.68.029
Ж. АБЫЛАЙҰЛЫ1, С.В. БОЛЬШАКОВА1, Ж.С. ИСТАЕВА1, А.М. ИСТАЕВ1
Казахский Национальный медицинский университет им. С.Д. Асфендиярова
Алматы, Республика Казахстан

РАЗЛИЧИЯ ЧУВСТВИТЕЛЬНОСТИ К ИНСУЛИНУ И ФУНКЦИИ БЕТАКЛЕТОК ПОДЖЕЛУДОЧНОЙ ЖЕЛЕЗЫ СРЕДИ ПРЕДСТАВИТЕЛЕЙ ЭТНОСОВ:
СИСТЕМАТИЧЕСКИЙ ОБЗОР

Резюме: Исследование этнических различий в распределении тела и метаболических характеристиках имеет важное значение для понимания риска развития диабета и ожирения. В данной научной
публикации представлен систематический обзор и мета-анализ, направленные на выявление различий в антропометрических показателях и метаболических параметрах между разными этническими группами. Анализ этих различий поможет лучше понять влияние этнической принадлежности на
факторы риска связанные с образом жизни и может способствовать более индивидуализированному подходу к предотвращению и управлению этими заболеваниями.
Ключевые слова: инсулинорезистентность, β-клетки, этнические группы, диабет, систематический обзор

СПИСОК ЛИТЕРАТУРЫ
1 Gibson G. Decanalization and the origin of complex disease. Nat Rev Genet 2009;10:134–140. doi: 10.1038/nrg2502
2 Kahn SE, Prigeon RL, McCulloch DK, et al. Quantification of the relationship between insulin sensitivity and beta-cell function in human subjects. Evidence
for a hyperbolic function. Diabetes 1993;42:1663–1672
3 Campbell MC, Tishkoff SA. African genetic diversity: implications for human demographic history, modern human origins, and complex disease mapping.
Annu Rev Genomics Hum Genet 2008;9:403–433. doi: 10.2337/diab.42.11.1663
4 Chen R, Corona E, Sikora M, et al. Type 2 diabetes risk alleles demonstrate extreme directional differentiation among human populations, compared to other
diseases. PLoS Genet 2012;8:e1002621. doi: 10.1371/journal.pgen.1002621
5 Ruff CB. Variation in human body size and shape. Annu Rev Anthropol 2002;31:211–232. https://www.researchgate.net/publication/228741473_Variation_
in_human_body_size_and_shape
6 Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care
interventions: explanation and elaboration. PLoS Med 2009;6:e1000100.doi: 10.1371/journal.pmed.1000100
7 Bergman RN, Ider YZ, Bowden CR, Cobelli C. Quantitative estimation of insulin sensitivity. Am J Physiol 1979;236:E667–E677.doi:10.1152/
ajpendo.1979.236.6.E667
8 Pacini G, Bergman RN. MINMOD: a computer program to calculate insulin sensitivity and pancreatic responsivity from the frequently sampled intravenous
glucose tolerance test. Comput Methods Programs Biomed 1986;23:113–122. doi: 10.1016/0169-2607(86)90106-9
9 Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes
mellitus provisional report of a WHO consultation. Diabet Med 1998;15:539–553. doi: 10.1002/(SICI)1096-9136(199807)15:7<539::AID-DIA668>3.0.CO;2-S
10 American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care 2004;27(Suppl. 1):S5–S10. doi: 10.2337/diacare.27.2007.s5
11 Seino Y, Nanjo K, Tajima N, et al. Report of the Committee on the Classification and Diagnostic Criteria of Diabetes Mellitus. Journal of Diabetes
Investigation 2010;1:212–228. doi: 10.1111/j.2040-1124.2010.00074.x
12 Saad MF, Steil GM, Kades WW, et al. Differences between the tolbutamide-boosted and the insulin-modified minimal model protocols. Diabetes 1997;46:1167–
1171
13 Welch S, Gebhart SS, Bergman RN, Phillips LS. Minimal model analysis of intravenous glucose tolerance test-derived insulin sensitivity in diabetic subjects.
J Clin Endocrinol Metab 1990;71:1508–1518
14 Pacini G, Tonolo G, Sambataro M, et al. Insulin sensitivity and glucose effectiveness: minimal model analysis of regular and insulin-modified FSIGT. Am J
Physiol 1998;274:E592–E599
15 Wells GA, O’Connell D, Pearson J, Welch V, Lossos M, Tugwell P. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies
in meta-analyses [article online], 2011. September 2012
16 Guyatt GH, Oxman AD, Vist GE, et alGRADE Working Group. GRADE: an emerging consensus on rating quality of evidence and strength of
recommendations. BMJ 2008;336:924–926
17 Macaskill P, Walter SD, Irwig L. A comparison of methods to detect publication bias in meta-analysis. Stat Med 2001;20:641–654
18 Higgins JPT, Green S; Cochrane Collaboration. Cochrane handbook for systematic reviews of interventions, version 5.1.0 [article online], 2011.
19 Lovejoy JC, de la Bretonne JA, Klemperer M, Tulley R. Abdominal fat distribution and metabolic risk factors: effects of race. Metabolism 1996;45:1119–1124
20 Van Horn LV, Ballew C, Liu K, et al. Diet, body size, and plasma lipids-lipoproteins in young adults: differences by race and sex. The Coronary Artery Risk
Development in Young Adults (CARDIA) study. Am J Epidemiol 1991;133:9–23
21 Ortiz O, Russell M, Daley TL, et al. Differences in skeletal muscle and bone mineral mass between black and white females and their relevance to estimates
of body composition. Am J Clin Nutr 1992;55:8–13
22 Taaffe DR, Cauley JA, Danielson M, et al. Race and sex effects on the association between muscle strength, soft tissue, and bone mineral density in healthy
elders: the Health, Aging, and Body Composition Study. J Bone Miner Res 2001;16:1343–1352
23 Wang J, Thornton JC, Russell M, Burastero S, Heymsfield S, Pierson RN Jr. Asians have lower body mass index (BMI) but higher percent body fat than do
whites: comparisons of anthropometric measurements. Am J Clin Nutr 1994;60:23–28
24 Kagawa M, Kerr D, Uchida H, Binns CW. Differences in the relationship between BMI and percentage body fat between Japanese and Australian-Caucasian
young men. Br J Nutr 2006;95:1002–1007
25 Tanaka S, Horimai C, Katsukawa F. Ethnic differences in abdominal visceral fat accumulation between Japanese, African-Americans, and Caucasians: a
meta-analysis. Acta Diabetol 2003;40(Suppl. 1):S302–S304
26 Kadowaki T, Sekikawa A, Murata K, et al. Japanese men have larger areas of visceral adipose tissue than Caucasian men in the same levels of waist
circumference in a population-based study. Int J Obes (Lond) 2006;30:1163–1165
27 Kanazawa M, Yoshiike N, Osaka T, Numba Y, Zimmet P, Inoue S. Criteria and classification of obesity in Japan and Asia-Oceania. Asia Pac J Clin
Nutr 2002;11(Suppl. 8):S732–S737
28 Choo V. WHO reassesses appropriate body-mass index for Asian populations. Lancet 2002;360:235
29 Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser 2000;894:i–xii, 1–253
30 Asano T, Yoshida R, Ogata H, et al. Beta-cell function is a major contributor to oral glucose disposition in obese Japanese students. Endocr J 2007;54:903–
910
31 Sakaue S, Ishimaru S, Ikeda D, et al. Estimation of beta-cell function from the data of the oral glucose tolerance test. Am J Physiol Endocrinol
Metab 2007;292:E1575–E1580
32 Festa A, Williams K, D’Agostino R Jr, Wagenknecht LE, Haffner SM. The natural course of beta-cell function in nondiabetic and diabetic individuals: the
Insulin Resistance Atherosclerosis Study. Diabetes 2006;55:1114–1120
33 Goedecke JH, Dave JA, Faulenbach MV, et al. Insulin response in relation to insulin sensitivity: an appropriate beta-cell response in black South African
women. Diabetes Care 2009;32:860–865

34 Goree LLT, Darnell BE, Oster RA, Brown MA, Gower BA. Associations of free fatty acids with insulin secretion and action among African-American and
European-American girls and women. Obesity (Silver Spring) 2010;18:247–253
35 Osei K, Schuster DP. Ethnic differences in secretion, sensitivity, and hepatic extraction of insulin in black and white Americans. Diabet Med 1994;11:755–762
36 Gower BA, Granger WM, Franklin F, Shewchuk RM, Goran MI. Contribution of insulin secretion and clearance to glucose-induced insulin concentration in
African-American and Caucasian children. J Clin Endocrinol Metab 2002;87:2218–2224
37 Kahn SE, Hull RL, Utzschneider KM. Mechanisms linking obesity to insulin resistance and type 2 diabetes. Nature 2006;444:840–846
38 Haffner SM. Epidemiology of type 2 diabetes: risk factors. Diabetes Care 1998;21(Suppl. 3):C3–C6
39 Fujimoto WY. Overview of non-insulin-dependent diabetes mellitus (NIDDM) in different population groups. Diabet Med 1996;13(Suppl. 6):S7–S10
40 Yost TJ, Jensen DR, Eckel RH. Weight regain following sustained weight reduction is predicted by relative insulin sensitivity. Obes Res 1995;3:583–587
41 Swinburn BA, Nyomba BL, Saad MF, et al. Insulin resistance associated with lower rates of weight gain in Pima Indians. J Clin Invest 1991;88:168–173
42 Quon MJ, Cochran C, Taylor SI, Eastman RC. Non-insulin-mediated glucose disappearance in subjects with IDDM. Discordance between experimental
results and minimal model analysis. Diabetes 1994;43:890–896
43 Finegood DT, Tzur D. Reduced glucose effectiveness associated with reduced insulin release: an artifact of the minimal-model method. Am J
Physiol 1996;271:E485–E495
44 Prigeon RL, Rоder ME, Porte D Jr, Kahn SE. The effect of insulin dose on the measurement of insulin sensitivity by the minimal model technique. Evidence
for saturable insulin transport in humans. J Clin Invest 1996;97:501–507

количество просмотров / 👁 919

Leave a Reply

Your email address will not be published. Required fields are marked *