Current possibilities of predicting the development of pre-diabetes and type 2 diabetes mellitus
- 作者: Petrankov K.1, Salukhov V.1, Pugachev M.1, Dobrovolskaya L.1, Stepanova T.1, Izilyaeva E.1, Shustov S.1
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隶属关系:
- Kirov Military Medical Academy
- 期: 卷 13, 编号 3 (2021)
- 页面: 31-42
- 栏目: Reviews
- URL: https://journals.rcsi.science/vszgmu/article/view/81188
- DOI: https://doi.org/10.17816/mechnikov81188
- ID: 81188
如何引用文章
详细
Type 2 diabetes mellitus is a serious chronic disease that poses a serious public health problem since this pathology has a significant impact on health due to the high risk of occurrence and development of severe complications, which directly affects the socio-economic well-being of the population. The presented article analyzes the most significant links in the pathogenesis of type 2 diabetes mellitus, which makes it possible to determine the risk factors for its occurrence and development. The influence of obesity on disorders of carbohydrate metabolism, as well as other associated metabolic conditions, such as atherosclerosis, hypertension, dyslipidemia, has been emphasized. Anthropometric parameters and various indices are presented, allowing them to be assessed in relation to metabolic changes. The review summarizes the most convincing biochemical markers that have prognostic value in relation to the development of pre-diabetes and type 2 diabetes mellitus. The article pays special attention to the analysis and evidence base of the existing scales for assessing the risk of developing pre-diabetes and type 2 diabetes mellitus, including the first domestic calculator based on the DIARISK questionnaire. In addition, the article presents statistical data on the higher incidence of metabolic syndrome in people professionally associated with high psychoemotional load. However, the methods for assessing the risk of pre-diabetes and T2DM do not reflect the contribution of this factor to the development of carbohydrate metabolism disorders.
作者简介
Kirill Petrankov
Kirov Military Medical Academy
编辑信件的主要联系方式.
Email: petrankovk@yandex.ru
ORCID iD: 0000-0001-7244-4303
graduate student at the 1st Department of Internal Medicine Postgraduate Training in endocrinology
俄罗斯联邦, 6 Akademika Lebedeva St., Saint Peterburg, 194044Vladimir Salukhov
Kirov Military Medical Academy
Email: vlasaluk@yandex.ru
ORCID iD: 0000-0003-1851-0941
SPIN 代码: 4531-6011
MD, Dr. Sci. (Med.)
俄罗斯联邦, 6 Akademika Lebedeva St., Saint Peterburg, 194044Maxim Pugachev
Kirov Military Medical Academy
Email: kenig.max@mail.ru
MD, Cand. Sci. (Med.)
俄罗斯联邦, 6 Akademika Lebedeva St., Saint Peterburg, 194044Larisa Dobrovolskaya
Kirov Military Medical Academy
Email: larisadobrovoskaja@mail.ru
MD, Cand. Sci. (Med.)
俄罗斯联邦, 6 Akademika Lebedeva St., Saint Peterburg, 194044Tatyana Stepanova
Kirov Military Medical Academy
Email: stepanovatatyana1998@gmail.com
ORCID iD: 0000-0001-7177-2575
SPIN 代码: 3580-0596
6th year cadet
俄罗斯联邦, 6 Akademika Lebedeva St., Saint Peterburg, 194044Elizaveta Izilyaeva
Kirov Military Medical Academy
Email: izi_li55@bk.ru
the cadet
俄罗斯联邦, 6 Akademika Lebedeva St., Saint Peterburg, 194044Sergej Shustov
Kirov Military Medical Academy
Email: sbs5555@mail.ru
профессор 1 кафедры (терапии усовершенствования врачей) доктор медицинских наук, профессор, Заслуженный врач Российской Федерации
俄罗斯联邦, 6 Akademika Lebedeva St., Saint Peterburg, 194044参考
- Dedov II, Shestakova MV, Galstyan GR. The prevalence of type 2 diabetes mellitus in the adult population of Russia (NATION study). Diabetes mellitus. 2016;19(2):104–112. (In Russ.). doi: 10.14341/DM2004116-17
- DeFronzo RA, Davidson JA, Del Prato S. The role of the kidneys in glucose homeostasis: a new path towards normalizing glycaemia. Diabetes Obes Metab. 2012;14(1):5–14. doi: 10.1111/j.1463-1326.2011.01511.x
- Salukhov VV, Romashevsky BV. Modern aspects for preventive therapy of type 2 diabetes mellitus. Medical Council. 2019;(4):6–13. (In Russ.). doi: 10.21518/2079-701X-2019-4-6-13
- Schwartz SS, Epstein S, Corkey BE, et al. The time is right for a new classification system for diabetes: rationale and implications of the β-Cell-Centric Classification Schema. Diabetes Care. 2016;39(2):179–186. doi: 10.2337/dc15-1585
- Salukhov VV, Khalimov YuS, Shustov SB, Kadin DV. Decrease of cardiovascular risk in patients with type 2 diabetes: review of the common strategies and clinical studies. Diabetes mellitus. 2018;21(3):193–205. (In Russ.). doi: 10.14341/DM9570
- Stumvoll M, Tataranni P., Stefan N, et al. Glucose allostasis. Diabetes. 2003;52(4):903–909. doi: 10.2337/diabetes.52.4.903
- Wright EM, Hirayama BA, Loo DF. Active sugar transport in health and disease. J Intern Med. 2007;261(1):32–43. doi: 10.1111/j.1365-2796.2006.01746.x
- Danforth E. Failure of adipocyte differentiation causes type II diabetes mellitus? Nat Genet. 2000;26(1):13. doi: 10.1038/79111
- Machann J, Häring H, Schick F, Stumvoll M. Intramyocellular lipids and insulin resistance. Diabetes Obes Metab. 2004;6(4):239–248. doi: 10.1111/j.1462-8902.2004.00339.x
- DeFronzo RA. Lilly lecture 1987. The triumvirate: beta-cell, muscle, liver. A collusion responsible for NIDDM. Diabetes. 1988;37(6):667–687. doi: 10.2337/diab.37.6.667
- Cawthorn WP, Sethi JK. TNF-alpha and adipocyte biology. FEBS letters. 2008;582(1):117–131. doi: 10.1016/j.febslet.2007.11.051
- Ruan H, Lodish HF. Regulation of insulin sensitivity by adipose tissue-derived hormones and inflammatory cytokines. Curr Opin Lipidol. 2004;15(3):297–302. doi: 10.1097/00041433-200406000-00009
- Kern PA, Ranganathan S, Li C, Ranganathan G. Adipose tissue tumor necrosis factor and interleukin-6 expression in human obesity and insulin resistance. Am J Physiol Endocrinol Metab. 2001;280(5):E745–751. doi: 10.1152/ajpendo.2001.280.5.E745
- Plomgaard P, Bouzakri K, Krogh-Madsen R, et al. Tumor necrosis factor-alpha induces skeletal muscle insulin resistance in healthy human subjects via inhibition of Akt substrate 160 phosphorylation. Diabetes. 2005;54(10):2939–2945. doi: 10.2337/diabetes.54.10.2939
- Miyazaki Y, Pipek R, Mandarino LJ, DeFronzo RA. Tumor necrosis factor alpha and insulin resistance in obese type 2 diabetic patients. Int J Obes Relat Metab Disord. 2003;27(1):88–94. doi: 10.1038/sj.ijo.0802187
- Kelley DE, He J, Menshikova EV, Ritov VB. Dysfunction of mitochondria in human skeletal muscle in type 2 diabetes. Diabetes. 2002;51(10):2944–2950. doi: 10.2337/diabetes.51.10.2944
- Petersen KF, Dufour S, Befroy D, et al. Impaired mitochondrial activity in the insulin-resistant offspring of patients with type 2 diabetes. N Engl J Med. 2004;350(7):664–671. doi: 10.1056/NEJMoa031314
- Lind MV, Savolainen OI, Ross AB. The use of mass spectrometry for analysing metabolite biomarkers in epidemiology: methodological and statistical considerations for application to large numbers of biological samples. Eur J Epidemiol. 2016;31(8):717–733. doi: 10.1007/s10654-016-0166-2
- Herder C, Kowall B, Tabak AG, Rathmann W. The potential of novel biomarkers to improve risk prediction of type 2 diabetes. Diabetologia. 2014;57(1):16–29. doi: 10.1007/s00125-013-3061-3
- Menni C, Fauman E, Erte I, et al. Biomarkers for type 2 diabetes and impaired fasting glucose using a nontargeted metabolomics approach. Diabetes. 2013;62(12):4270–4276. doi: 10.2337/db13-0570
- Salukhov VV, Romashevskiy BV. Personalized medicine and its role in type 2 diabetes prevention. Emergency Cardiology and Cardiovascular risks. 2019;3(2):654–665. (In Russ.)
- Magnusson M, Wang TJ, Clish C, et al. Dimethylglycine deficiency and the development of diabetes. Diabetes. 2015;64(8):3010–3016. doi: 10.2337/db14-1863
- Savolainen O, Fagerberg B, Vendelbo Lind M, et al. Biomarkers for predicting type 2 diabetes development-Can metabolomics improve on existing biomarkers? PloS One. 2017;12(7):e0177738. doi: 10.1371/journal.pone.0177738
- Sattar N, Wannamethee SG, Forouhi NG. Novel biochemical risk factors for type 2 diabetes: pathogenic insights or prediction possibilities? Diabetologia. 2008;51(6):926–940. doi: 10.1007/s00125-008-0954-7
- Dorcely B, Katz K, Jagannathan R, et al. Novel biomarkers for prediabetes, diabetes, and associated complications. Diabetes Metab Syndr Obes. 2017;10:345–361. doi: 10.2147/DMSO.S100074
- Trocmé C, Gonnet N, Di Tommaso M, et al. Serum IRAP, a novel direct biomarker of prediabetes and type 2 diabetes? Front Mol Biosci. 2021;7:412. doi: 10.3389/fmolb.2020.596141
- Cepeda-Valery B, Pressman GS, Figueredo VM, Romero-Corral A. Impact of obesity on total and cardiovascular mortality – fat or fiction? Nat Rev Cardiol. 2011;8(4):233–237. doi: 10.1038/nrcardio.2010.209
- Ashwell M, Gunn P, Gibson S. Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obes Rev. 2012;13(3):275–286. doi: 10.1111/j.1467-789X.2011.00952.x
- Krakauer NY, Krakauer JC. A new body shape index predicts mortality hazard independently of body mass index. PLoS One. 2012;7( 7):e39504. doi: 10.1371/journal.pone.0039504
- Kislyak OA, Myshlyaeva TO, Malysheva NV. Sakharnyy diabet 2 tipa, arterial’naya gipertenziya i risk serdechno-sosudistykh oslozhneniy. Diabetes mellitus. 2008;11(1):45–49. (In Russ.). doi: 10.14341/2072-0351-5945
- Pierce M, Keen H, Bradley C. Risk of diabetes in offspring of parents with non-insulin-dependent diabetes. Diabet Med. 1995;12(1):6–13. doi: 10.1111/j.1464-5491.1995.tb02054.x
- Kirwan JP, Sacks J, Nieuwoudt S. The essential role of exercise in the management of type 2 diabetes. Cleve Clin J Med. 2017;84(7 Suppl 1):S15–S21. doi: 10.3949/ccjm.84.s1.03
- Lindström J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care. 2003;26(3):725–731. doi: 10.2337/diacare.26.3.725
- Mustafina SV, Rymar OD, Sazonova OV, et al. Validation of the Finnish diabetes risk score (FINDRISC) for the Caucasian population of Siberia. Diabetes mellitus. 2016;19(2):113–118. (In Russ.). doi: 10.14341/DM200418-10
- Glümer C, Carstensen B, Sandbaek A, et al. A Danish diabetes risk score for targeted screening: the Inter99 study. Diabetes Care. 2004;27(3):727–733. doi: 10.2337/diacare.27.3.727
- Martin A, Neale EP, Tapsell LC. The clinical utility of the AUSDRISK tool in assessing change in type 2 diabetes risk in overweight/obese volunteers undertaking a healthy lifestyle intervention. Prev Med Rep. 2018;13:80–84. doi: 10.1016/j.pmedr.2018.11.020
- Schulze MB, Boeing H, Häring H-U. Validation of the German Diabetes Risk Score with metabolic risk factors for type 2 diabetes. Dtsch Med Wochenschr. 2008;133(17):878–883. (In German). doi: 10.1055/s-2008-1075664
- Liu M, Pan C, Jin M. A Chinese diabetes risk score for screening of undiagnosed diabetes and abnormal glucose tolerance. Diabetes Technol Ther. 2011;13(5):501–507. doi: 10.1089/dia.2010.0106
- Shestakova MV, Kolbin AS, Galstyan GR, et al. “DIARISK” – the first national prediabetes and diabetes mellitus type 2 risk calculator. Diabetes mellitus. 2020;23(5):404–411. (In Russ.). doi: 10.14341/DM12570
- Wilson PWF, Meigs JB, Sullivan L, et al. Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study. Arch Intern Med. 2007;167(10):1068–1074. doi: 10.1001/archinte.167.10.1068
- Heppner PS, Crawford EF, Haji UA, et al. The association of posttraumatic stress disorder and metabolic syndrome: a study of increased health risk in veterans. BMC Med. 2009;7:1. doi: 10.1186/1741-7015-7-1
- Hartley TA, Sarkisian K, Violanti JM, et al. PTSD symptoms among police officers: associations with frequency, recency, and types of traumatic events. Int J Emerg Ment Health. 2013;15(4):241–253.
- Kryukov EV, Frolov DV, Kulikov AG, et al. New approaches to the rehabilitation of patients with diabetic angiopathy of the lower extremities. Military Medical Journal. 2020;341(1):38–44. (In Russ.)
- Kushnareva YuB, Patsenko MB, Oynotkinova Osh. Degree of manifestation of metabolic syndrome and of lipid metabolism disorders in people in hazardous occupations. Disaster Medicine. 2016;(2(94)):19–21. (In Russ.)
- Kryukov EV, Bulka KA, Chekhovskikh YuS, et al. Military medical organizations capability in delivery of specialized medical care in radiation emergencies. Bulletin of the Russian Military Medical Academy. 2021;23(1(73)):153–162. (In Russ.). doi: 10.17816/brmma63632