Literature Reviews

doi: 10.25005/2074-0581-2020-22-4-580-594
SOME ASPECTS OF EPIDEMIOLOGY AND ETIOPATHOGENESIS OF METABOLIC SYNDROME

S. M. Abdullozoda

Department of Epidemiology, Avicenna Tajik State Medical University, Dushanbe, Republic of Tajikistan

A review of literature data carried out on the most important aspects of epidemiology, risk factors and pathogenesis of metabolic syndrome (MS). Metabolic syndrome has been found in approximately one quarter of the world’s population, and, despite the large-scale treatment, preventive and health-improving promotion programs on a global scale, the number of persons with MS tends to increase annually, especially among young ablebodied age. There are many risk factors in its genesis, including genetic predisposition, low physical activity, poor diet, smoking, intestinal microbiota, obstructive sleep apnea syndrome and others, the role of most of which needs to be studied in more depth. Many criteria have been proposed for the diagnosis of MS, each of them has its own advantages and disadvantages. With MS, most organs and systems are affected, and with the combined involvement of the cardiovascular, endocrine, urinary, digestive and respiratory systems burdened clinical course of MS. In connection with the above, there is a reason for further scientific research to identify the causes and risk factors for the development of MS, development of preventive ways of prevention, preventive diagnostics and early treatment of MS.

Keywords: metabolic syndrome, epidemiology, pathogenesis, diabetes mellitus, insulin resistance, obesity, hypercholesterolemia.

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References
  1. Dasgupta A, Banerjee R, Pan T, Suman S, Basu U, Paul B. Metabolic syndrome and its correlates: A cross-sectional study among adults aged 18-49 years in an urban area of West Bengal. Indian J Public Health. 2020;64(1):50-4. Available from: https://doi.org/10.4103/ijph.IJPH5019
  2. Global status report on non-communicable diseases 2014. Geneva, Switzerland: WHO; 2015. 282 p.
  3. Yadav D, Mahajan S, Subramanian SK, Bisen PS, Chung CH, Prasad GBKS. Prevalence of metabolic syndrome in type 2 diabetes mellitus using NCEP-ATPIII, IDF and WHO definition and its agreement in Gwalior Chambal Region of Central India. Glob J Health Sci. 2013;5(6):142-55. Available from: https:// doi.org/10.5539/gjhs.v5n6p142
  4. Gulov MK, Abdulloev SM, Gulbekova ZA, Makhmudov KhR. Skrining faktorov riska khronicheskikh neinfektsionnykh zabolevaniy sredi naseleniya vysokogornoy mestnosti Tadzhikistana [Screening of risk factors of chronic non-communicable diseases among population of the highlands in Tajikistan]. Vestnik Avitsenny [Avicenna Bulletin]. 2020;22(2):209-21. Available from: https://doi.org/10.25005/2074-0581-2020-22-2-209-221
  5. Definition, diagnosis and classification of diabetes mellitus and its complications: Report of a WHO Consultation. World Health Organization: Geneva, Switzerland; 1999. [Last accessed on 2020 Oct 10]. Available from: https://apps.who.int/iris/bitstream/handle/10665/66040/WHO_NCD_ NCS_99.2.pdf
  6. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA. 2001; 285(19):2486-97. Available from: https://doi.org/10.1001/ jama.285.19.2486
  7. Alberti KGMM, Zimmet P, Shaw J. Metabolic syndrome – a new worldwide definition. A Consensus Statement from the International Diabetes Federation. Diabetic Med. 2006;23(5):469-80. Available from: https://doi. org/10.1111/j.1464-5491.2006.01858.x
  8. Amirkalali B, Fakhrzadeh H, Sharifi F, Kelishadi R, Zamani F, Asayesh H, et al. Prevalence of metabolic syndrome and its components in the Iranian adult population: a systematic review and meta-analysis. Iran Red Crescent Med J. 2015;17(12):e24723. Available from: https://doi.org/10.5812/ircmj.24723
  9. Lim S, Shin H, Song JH, Kwak SH, Kang SM, Won Yoon J, et al. Increasing prevalence of metabolic syndrome in Korea: the Korean National Health and Nutrition Examination Survey for 1998-2007. Diabetes Care. 2011;34(6):1323-8. Available from: https://doi.org/10.2337/dc10-2109
  10. De Silva ST, Niriella MA, Ediriweera DS, Kottahachchi D, Kasturiratne A, de Silva AP, et al. Incidence and risk factors for metabolic syndrome among urban, adult Sri Lankans: a prospective, 7-year community cohort, follow-up study. Diabetol Metab Syndr. 2019;11:66. Available from: https://doi.org/10.1186/ s13098-019-0461-7
  11. Moore JX, Chaudhary N, Akinyemiju T. Metabolic syndrome prevalence by race/ethnicity and sex in the United States, National Health and Nutrition Examination Survey, 1988-2012. Prev Chronic Dis. 2017;14:E24. Available from: https://doi.org/10.5888/pcd14.160287
  12. Xiao J, Wu CL, Gao YX, Wang SL, Wang L, Lu QY, et al. Prevalence of metabolic syndrome and its risk factors among rural adults in Nantong, China. Sci Rep. 2016;6:38089. Available from: https://doi.org/10.1038/srep38089
  13. Ostrihoňová T, Rimárová K, Bérešová J, Kontrošová S, Dorko E, Diabelková J. Prevalence and trends of metabolic syndrome in Slovakia during the period of 2003-2012. Cent Eur J Public Health. 2017;25(4):313-20. Available from: https://doi.org/10.21101/cejph.a4968
  14. Vizmanos B, Betancourt-Nuñez A, Márquez-Sandoval F, González-Zapata LI, Monsalve-Álvarez J, Bressan J, et al. Metabolic syndrome among young health professionals in the Multicenter Latin America Metabolic Syndrome Study. Metab Syndr Relat Disord. 2020;18(2):86-95. Available from: https:// doi.org/10.1089/met.2019.0086
  15. Mendoza-Caamal EC, Barajas-Olmos F, García-Ortiz H, Cicerón-Arellano I, Martínez-Hernández A, Córdova EJ, et al. Metabolic syndrome in indigenous communities in Mexico: a descriptive and cross-sectional study. BMC Public Health. 2020;20(1):339. Available from: https://doi.org/10.1186/s12889- 020-8378-5
  16. Li Y, Zhao L, Yu D, Wang Z, Ding G. Metabolic syndrome prevalence and its risk factors among adults in China: A nationally representative cross-sectional study. PLoS One. 2018;13(6):e0199293. Available from: https://doi. org/10.1371/journal.pone.0199293
  17. Marbou WJT, Kuete V. Prevalence of metabolic syndrome and its components in Bamboutos Division’s Adults, West Region of Cameroon. Biomed Res Int. 2019;2019:9676984. Available from: https://doi.org/10.1155/2019/9676984
  18. Kerie S, Menberu M, Geneto M. Metabolic syndrome among residents of Mizan-Aman town, South West Ethiopia, 2017: A cross sectional study. PLoS One. 2019;14(1):e0210969. Available from: https://doi.org/10.1371/journal. pone.0210969
  19. Binh TQ, Phuong PT, Nhung BT, Tung do D. Metabolic syndrome among a middle-aged population in the Red River Delta region of Vietnam. BMC Endocr Disord. 2014;14:77. Available from: https://doi.org/10.1186/1472-6823- 14-77
  20. Houti L, Hamani-Medjaoui I, Lardjam-Hetraf SA, Ouhaibi-Djellouli H, Chougrani S, Goumidi L, et al. Prevalence of metabolic syndrome and its related risk factors in the City of Oran, Algeria: the ISOR Study. Ethn Dis. 2016;26(1):99- 106. Available from: https://doi.org/10.18865/ed.26.1.99
  21. Ragino YuI, Oblaukhova VI, Denisova DV, Kovalkova NA. Abdominal’noe ozhirenie i drugie komponenty metabolicheskogo sindroma sredi molodogo naseleniya g. Novosibirska [Abdominal obesity and other components of metabolic syndrome among the young population of Novosibirsk]. Sibirskiy meditsinskiy zhurnal. 2020;35(1):167-76. Available from: https://doi. org/10.29001/2073-8552-2020-35-1-167-176
  22. Grinshtein YuI, Shabalin VV, Ruf RR, Shalnova SA. Rasprostranyonnost’ metabolicheskogo sindroma v populyatsii Krasnoyarskogo kraya i osobennosti ego assotsiatsii s giperurikemiey [The prevalence of metabolic syndrome in the Krasnoyarsk Krai population and the features of its association with hyperuricemia]. Rossiyskiy kardiologicheskiy zhurnal. 2020;25(6):3852. Available from: https://doi.org/10.15829/1560-4071-2020-3852
  23. Kalan Farmanfarma K, Kaykhaei MA, Adineh HA, Mohammadi M, Dabiri S, Ansari-Moghaddam A. Prevalence of metabolic syndrome in Iran: A meta- analysis of 69 studies. Diabetes Metab Syndr. 2019;13(1):792-9. Available from: https://doi.org/10.1016/j.dsx.2018.11.055
  24. Szostak-Węgierek D, Waśkiewicz A, Piotrowski W, Stepaniak U, Pająk A, Kwaśniewska M, et al. Metabolic syndrome and its components in Polish women of childbearing age: a nationwide study. BMC Public Health. 2017;18(1):15. Available from: https://doi.org/10.1186/s12889-017-4564-5
  25. Heiss G, Snyder ML, Teng Y, Schneiderman N, Llabre MM, Cowie C, et al. Prevalence of metabolic syndrome among Hispanics/Latinos of diverse background: The Hispanic Community Health Study/Study of Latinos. Diabetes Care. 2014;37(8):2391-9. Available from: https://doi.org/10.2337/dc13-2505
  26. Wang X, Yang F, Bots ML, Guo WY, Zhao B, Hoes AW, et al. Prevalence of the metabolic syndrome among employees in Northeast China. Chin Med J. 2015;128(15):1989-93. Available from: https://doi.org/10.4103/0366- 6999.161337
  27. Payab M, Hasani-Ranjbar S, Merati Y, Esteghamati A, Qorbani M, Hematabadi M, et al. The prevalence of metabolic syndrome and different obesity phenotype in Iranian male military personnel. Am J Mens Health. 2017;11(2):404- 13. Available from: https://doi.org/10.1177/1557988316683120
  28. Galmés S, Cifre M, Palou A, Oliver P, Serra F. A Genetic score of predisposition to low-grade inflammation associated with obesity may contribute to discern population at risk for metabolic syndrome. Nutrients. 2019;11(2):298. Available from: https://doi.org/10.3390/nu11020298
  29. Tekola-Ayele F, Doumatey AP, Shriner D, Bentley AR, Chen G, Zhou J, et al. Genome-wide association study identifies African-ancestry specific variants for metabolic syndrome. Mol Genet Metab. 2015;116(4):305-13. Available from: https://doi.org/10.1016/j.ymgme.2015.10.008
  30. Prasad G, Bandesh K, Giri AK, Kauser Y, Chanda P, Parekatt V, et al. Genome- Wide Association Study of metabolic syndrome reveals primary genetic variants at CETP locus in Indians. Biomolecules. 2019;9(8):321. Available from: https://doi.org/10.3390/biom9080321
  31. Oh SW, Lee JE, Shin E, Kwon H, Choe EK, Choi SY, et al. Genome-wide association study of metabolic syndrome in Korean populations. PLoS One. 2020;15(1):e0227357. Available from: https://doi.org/10.1371/journal. pone.0227357
  32. Shishkin AN. Ozhirenie, metabolicheskiy sindrom i beremennost’ [Obesity, metabolic syndrome and pregnancy]. Novye Sankt-Peterburgskie vrachebnye vedomosti. 2011;2:44-51.
  33. Keramati AR, Fathzadeh M, Go GW, Singh R, Choi M, Faramarzi S, et al. A form of the metabolic syndrome associated with mutations in DYRK1B. N Engl J Med. 2014;370(20):1909-19. Available from: https://doi.org/10.1056/ NEJMoa1301824
  34. Kraja AT, Chasman DI, North KE, Reiner AP, Yanek LR, Kilpeläinen TO, et al. Pleiotropic genes for metabolic syndrome and inflammation. Mol Genet Metab. 2014;112(4):317-38. Available from: https://doi.org/10.1016/j. ymgme.2014.04.007
  35. Diagnostika, lechenie, profilaktika ozhireniya i assotsiirovannykh s nim zabolevaniy. Natsional’nye klinicheskie rekomendatsii. Rossiyskoe kardiologicheskoe obshchestvo. Rossiyskoe nauchnoe meditsinskoe obshchestvo terapevtov. Antigipertenzivnaya liga. Assotsiatsiya klinicheskikh farmakologov [Diagnosis, treatment, prevention of obesity and associated diseases. National clinical guidelines. Russian Society of Cardiology. Russian Scientific Medical Society of Physicians. Antihypertensive League. Association of Clinical Pharmacologists]. Saint Petersburg, RF: 2017. 164 p.
  36. Povel CM, Boer JM, Onland-Moret NC, Dollé ME, Feskens EJ, van der Schouw YT. Single nucleotide polymorphisms (SNPs) involved in insulin resistance, weight regulation, lipid metabolism and inflammation in relation to metabolic syndrome: an epidemiological study. Cardiovasc Diabetol. 2012;11:133. Available from: https://doi.org/10.1186/1475-2840-11-133
  37. Kristiansson K, Perola M, Tikkanen E, Kettunen J, Surakka I, Havulinna AS, et al. Genome-wide screen for metabolic syndrome susceptibility Loci reveals strong lipid gene contribution but no evidence for common genetic basis for clustering of metabolic syndrome traits. Circ Cardiovasc Genet. 2012;5(2):242-9. Available from: https://doi.org/10.1161/CIRCGENETICS. 111.961482
  38. Monda KL, North KE, Hunt SC, Rao DC, Province MA, Kraja AT. The genetics of obesity and the metabolic syndrome. Endocr Metab Immune Disord Drug Targets. 2010;10(2):86-108. Available from: https://doi. org/10.2174/187153010791213100
  39. Kong S, Cho YS. Identification of female-specific genetic variants for metabolic syndrome and its component traits to improve the prediction of metabolic syndrome in females. BMC Med Genet. 2019;20(1):99. Available from: https://doi.org/10.1186/s12881-019-0830-y
  40. Farook VS, Puppala S, Schneider J, Fowler SP, Chittoor G, Dyer TD, et al. Metabolic syndrome is linked to chromosome 7q21 and associated with genetic variants in CD36 and GNAT3 in Mexican Americans. Obesity. 2012;20(10):2083-92. Available from: https://doi.org/10.1038/oby.2012.74
  41. Mozaffarian D, Fahimi S, Singh GM, Micha R, Khatibzadeh S, Engell RE, Lim S, et al. Global burden of diseases nutrition and chronic diseases expert group. Global sodium consumption and death from cardiovascular causes. N Engl J Med. 2014;371(7):624-34. Available from: https://doi.org/10.1056/NEJMoa1304127
  42. Alekseeva NS, Salmina-Khvostova OI, Beloborodova EV. Vzaimosvyaz’ narusheniy pishchevogo povedeniya s urovnem melatonina i serotonina pri metabolicheskom syndrome [Interrelationship of eating disorders and level of melatonin and serotonin in metabolic syndrome]. Sibirskiy vestnik psikhiatrii i narkologii. 2016;4:39-44.
  43. Motamed S, Mazidi M, Safarian M, Ghayour-Mobarhan M, Moohebati M, Ebrahimi M, et al. Macronutrient intake and physical activity levels in individuals with and without metabolic syndrome: An observational study in an urban population. ARYA Atheroscler. 2019;15(3):136-45. Available from: https://doi.org/10.22122/arya.v15i3.1303
  44. Yakovenko MS. Korrektsiya metabolicheskogo sindroma u patsientov s nealkogol’noy zhirovoy bolezn’yu pecheni i narusheniyami pishchevogo povedeniya [Correction of metabolic syndrome in patients with non-alcoholic fatty liver disease and eating disorders]. Lechashiy Vrach. 2020;2:23-7. Available from: https://doi.org/10.26295/OS.2020.57.42.006
  45. Kim Y, Je Y. Meat consumption and risk of metabolic syndrome: results from the Korean population and a meta-analysis of observational studies. Nutrients. 2018;10(4):390. Available from: https://doi.org/10.3390/nu10040390
  46. Kim K, Kim K, Park SM. Association between the prevalence of metabolic syndrome and the level of coffee consumption among Korean women. PLoS One. 2016;11(12):e0167007. Available from: https://doi.org/10.1371/journal. pone.0167007
  47. Myers J, Kokkinos P, Nyelin E. Physical activity, cardiorespiratory fitness, and the metabolic syndrome. Nutrients. 2019;11(7):1652. Available from: https://doi.org/10.3390/nu11071652
  48. Hastert TA, Gong J, Campos H, Baylin A. Physical activity patterns and metabolic syndrome in Costa Rica. Prev Med. 2015;70:39-45. Available from: https://doi.org/10.1016/j.ypmed.2014.11.006
  49. Wu S, Fisher-Hoch SP, Reininger B, McCormick JB. Recommended levels of physical activity are associated with reduced risk of the metabolic syndrome in Mexican-Americans. PLoS One. 2016;11(4):e0152896. Available from: https://doi.org/10.1371/journal.pone.0152896
  50. Xiao J, Shen C, Chu MJ, Gao YX, Xu GF, Huang JP, et al. Physical activity and sedentary behavior associated with components of metabolic syndrome among people in rural China. PLoS One. 2016;11(1):e0147062. Available from: https://doi.org/10.1371/journal.pone.0147062
  51. Sagawa N, Rockette-Wagner B, Azuma K, Ueshima H, Hisamatsu T, Takamiya T, et al. Physical activity levels in American and Japanese men from the ERAJUMP Study and associations with metabolic syndrome. J Sport Health Sci. 2020;9(2):170-8. Available from: https://doi.org/10.1016/j.jshs.2019.09.007
  52. Maddatu J, Anderson-Baucum E, Evans-Molina C. Smoking and the risk of type 2 diabetes. Transl Res. 2017;184:101-7. Available from: https://doi. org/10.1016/j.trsl.2017.02.004
  53. Wakabayashi I. Relationship between smoking and metabolic syndrome in men with diabetes mellitus. Metab Syndr Relat Disord. 2014;12(1):70-8. Available from: https://doi.org/10.1089/met.2013.0110
  54. Artese A, Stamford BA, Moffatt RJ. Cigarette smoking: an accessory to the development of insulin resistance. Am J Lifestyle Med. 2017;13(6):602-5. Available from: https://doi.org/10.1177/1559827617726516
  55. Sun K, Liu J, Ning G. Active smoking and risk of metabolic syndrome: a meta- analysis of prospective studies. PLoS One. 2012;7(10):e47791. Available from: https://doi.org/10.1371/journal.pone.0047791
  56. Bermudez V, Olivar LC, Torres W, Navarro C, Gonzalez R, Espinoza C, et al. Cigarette smoking and metabolic syndrome components: a cross-sectional study from Maracaibo City, Venezuela. F1000Res. Version 3. 2018;7:565. Available from: https://doi.org/10.12688/f1000research.14571.3
  57. Huang JH, Li RH, Huang SL, Sia HK, Chen YL, Tang FC. Lifestyle factors and metabolic syndrome among workers: the role of interactions between smoking and alcohol to nutrition and exercise. Int J Environ Res Public Health. 2015;12(12):15967-78. Available from: https://doi.org/10.3390/ ijerph121215035
  58. Takayama S, Takase H, Tanaka T, Sugiura T, Ohte N, Dohi Y. Smoking cessation without educational instruction could promote the development of metabolic syndrome. J Atheroscler Thromb. 2018;25(1):90-7. Available from: https:// doi.org/10.5551/jat.40063
  59. Mondot S, de Wouters T, Doré J, Lepage P. The human gut microbiome and its dysfunctions. Dig Dis. 2013;31(3-4):278-85. Available from: https://doi. org/10.1159/000354678
  60. Bouter KE, van Raalte DH, Groen AK, Nieuwdorp M. Role of the gut microbiome in the pathogenesis of obesity and obesity-related metabolic dysfunction. Gastroenterology. 2017;152(7):1671-8. Available from: https://doi. org/10.1053/j.gastro.2016.12.048
  61. Donaldson GP, Lee SM, Mazmanian SK. Gut biogeography of the bacterial microbiota. Nat Rev Microbiol. 2016;14(1):20-32. Available from: https://doi. org/10.1038/nrmicro3552
  62. Han JL, Lin HL. Intestinal microbiota and type 2 diabetes: from mechanism insights to therapeutic perspective. World J Gastroenterol. 2014;20(47):17737- 45. Available from: https://doi.org/10.3748/wjg.v20.i47.17737
  63. Ianiro G, Tilg H, Gasbarrini A. Antibiotics as deep modulators of gut microbiota: between good and evil. Gut. 2016;65(11):1906-15. Available from: https://doi.org/10.1136/gutjnl-2016-312297
  64. Modi SR, Collins JJ, Relman DA. Antibiotics and the gut microbiota. J Clin Invest. 2014;124(10):4212-8. Available from: https://doi.org/10.1172/ JCI72333
  65. Frazier TH, DiBaise JK, McClain CJ. Gut microbiota, intestinal permeability, obesity- induced inflammation, and liver injury. J Parenter Enteral Nutr. 2011;35(5 Suppl):14S-20S. Available from: https://doi.org/10.1177/0148607111413772
  66. Wu GD, Chen J, Hoffmann C, Bittinger K, Chen YY, Keilbaugh SA, et al. Linking long-term dietary patterns with gut microbial enterotypes. Science. 2011;334(6052):105-8. Available from: https://doi.org/10.1126/science. 1208344
  67. Sidhu M, van der Poorten D. The gut microbiome. Aust Fam Physician. 2017;46(4):206-11.
  68. Colantonio LD, Anstey DE, Carson AP, Ogedegbe G, Abdalla M, Sims M, et al. Metabolic syndrome and masked hypertension among African Americans: The Jackson Heart Study. J Clin Hypertens (Greenwich). 2017;19(6):592-600. Available from: https://doi.org/10.1111/jch.12974
  69. Litwin M, Feber J, Niemirska A, Michałkiewicz J. Primary hypertension is a disease of premature vascular aging associated with neuro-immuno-metabolic abnormalities. Pediatr Nephrol. 2016;31(2):185-94. Available from: https:// doi.org/10.1007/s00467-015-3065-y
  70. Wilcox I, McNamara SG, Collins FL, Grunstein RR, Sullivan CE. “Syndrome Z”: the interaction of sleep apnoea, vascular risk factors and heart disease. Thorax. 1998;53(Suppl 3):S25-8.
  71. Cizza G, de Jonge L, Piaggi P, Mattingly M, Zhao X, Lucassen E, et al. Neck circumference is a predictor of metabolic syndrome and obstructive sleep apnea in short-sleeping obese men and women. Metab Syndr Relat Disord. 2014;12(4):231-41. Available from: https://doi.org/10.1089/met.2013.0093
  72. Sabanayagam C, Zhang R, Shankar A. Markers of sleep-disordered breathing and metabolic syndrome in a multiethnic sample of US adults: results from the National Health and Nutrition Examination Survey 2005- 2008. Cardiol Res Pract. 2012;2012:630802. Available from: https://doi. org/10.1155/2012/630802
  73. Tarasik ES, Bulgak AG, Zatoloka NV, Koush EV. Sindrom obstruktivnogo apnoe sna i serdechno-sosudistye zabolevaniya [The obstructive sleep apnea and cardiovascular diseases]. Meditsinsie novosti. 2016;6:18-24.
  74. Sharifpour P, Dehvan F, Dalvand S, Ghanei Gheshlagh R. Examination of the relationship between metabolic syndrome and obstructive sleep apnea in Iranian patients with type 2 diabetes: a case-control study. Diabetes Metab Syndr Obes. 2020;13:2251-7. Available from: https://doi.org/10.2147/ DMSO.S260677
  75. Knutson KL, Zhao X, Mattingly M, Galli G, Cizza G. Predictors of sleep-disordered breathing in obese adults who are chronic short sleepers. Sleep Med. 2012;13(5):484-9. Available from: https://doi.org/10.1016/j. sleep.2011.11.009
  76. de Jonge L, Zhao X, Mattingly MS, Zuber SM, Piaggi P, Csako G, et al. Poor sleep quality and sleep apnea are associated with higher resting energy expenditure in obese individuals with short sleep duration. J Clin Endocrinol Metab. 2012; 97(8):2881-9. Available from: https://doi.org/10.1210/jc.2011- 2858.
  77. Khayridinov MT, Safarov MI, Khayridinov DM, Kurbanova KhA. Korrektsiya insulinorezistenosti u bol’nykh insulinonezavisimym sakharnym diabetom s polnym metabolicheskim sindromom [Correction of insulin resistance in patients with insulin-independent diabetes mellitus with full metabolic syndrome]. Vestnik poslediplomnogo obrazovaniya v sfere zdravookhraneniya. 2016;2:85-8.
  78. Mukhamadieva SM, Rustamova MS, Kurbanova MKh, Negmatova SS, Badalova MKh, Kamilova MYa. Mediko-sotsial’naya kharakteristika zhenshchin s metabolicheskim sindromom [Medical and social characteristics of women with metabolic syndrome]. Vestnik poslediplomnogo obrazovaniya v sfere zdravookhraneniya. 2019;1:53-8.
  79. Sharifzoda KhS. Nekotorye faktory riska serdechno-sosudistykh zabolevaniy [Some risk factors of cardiovascular diseases]. Zdravookhranenie Tadzhikistana. 2019;2:98-106.
  80. Pitocco D, Zaccardi F, Di Stasio E, Romitelli F, Santini SA, Zuppi C, Ghirlanda G. Oxidative stress, nitric oxide, and diabetes. Rev Diabet Stud. 2010;7(1):15-25. Available from: https://doi.org/10.1900/RDS.2010.7.15
  81. Yaribeygi H, Sathyapalan T, Atkin SL, Sahebkar A. Molecular mechanisms linking oxidative stress and diabetes mellitus. Oxid Med Cell Longev. 2020;2020:8609213. Available from: https://doi.org/10.1155/2020/8609213
  82. Zhazykbayeva S, Pabel S, Mügge A, Sossalla S, Hamdani N. The molecular mechanisms associated with the physiological responses to inflammation and oxidative stress in cardiovascular diseases. Biophys Rev. 2020;12(4):947- 68. Available from: https://doi.org/10.1007/s12551-020-00742-0
  83. Pankov YuA. Zhirovaya tkan’ kak endokrinnyy organ, reguliruyushchiy rost, polovoe sozrevanie i drugie fiziologicheskie funktsii [Adipose tissue as an endocrine organ that regulates growth, puberty and other physiological functions]. Biokhimiya.1999;64(6):725-34.
  84. Bokarev IN. Metabolicheskiy syndrom [Metabolic syndrome]. Klinicheskaya meditsina. 2014;92(8):71-6.
  85. López-Jaramillo P, Gómez-Arbeláez D, López-López J, López-López C, Martínez-Ortega J, Gómez-Rodríguez A, et al. The role of leptin/adiponectin ratio in metabolic syndrome and diabetes. Horm Mol Biol Clin Investig. 2014;18(1):37-45. Available from: https://doi.org/10.1515/hmbci-2013-0053
  86. Frühbeck G, Catalán V, Rodríguez A, Ramírez B, Becerril S, Salvador J, et al. Involvement of the leptin-adiponectin axis in inflammation and oxidative stress in the metabolic syndrome. Sci Rep. 2017;7(1):6619. Available from: https:// doi.org/10.1038/s41598-017-06997-0
  87. Adejumo EN, Adejumo OA, Azenabor A, Ekun AO, Enitan SS, Adebola OK, et al. Leptin: Adiponectin ratio discriminated the risk of metabolic syndrome better than adiponectin and leptin in Southwest Nigeria. Diabetes Metab Syndr. 2019;13(3):1845-9. Available from: https://doi.org/10.1016/j. dsx.2019.04.008
  88. Kang DR, Yadav D, Koh SB, Kim JY, Ahn SV. Impact of serum leptin to adiponectin ratio on regression of metabolic syndrome in high-risk individuals: The ARIRANG Study. Yonsei Med J. 2017;58(2):339-46. Available from: https:// doi.org/10.3349/ymj.2017.58.2.339
  89. Kishida K, Funahashi T, Shimomura I. Adiponectin as a routine clinical biomarker. Best Pract Res Clin Endocrinol Metab. 2014;28(1):119-30. Available from: https://doi.org/10.1016/j.beem.2013.08.006
  90. Cho SA, Joo HJ, Cho JY, Lee SH, Park JH, Hong SJ, et al. Visceral fat area and serum adiponectin level predict the development of metabolic syndrome in a community-based asymptomatic population. PLoS One. 2017;12(1):e0169289. Available from: https://doi.org/10.1371/journal. pone.0169289
  91. Li HY, Hong X, Cao QQ, So KF. Adiponectin, exercise and eye diseases. Int Rev Neurobiol. 2019;147:281-94. Available from: https://doi.org/10.1016/ bs.irn.2019.07.006
  92. Au Yeung SL, Schooling CM. Adiponectin and coronary artery disease risk: a bi-directional Mendelian randomization study. Int J Cardiol. 2018;268:222-6. Available from: https://doi.org/10.1016/j.ijcard.2018.03.132
  93. Gulcelik NE, Halil M, Ariogul S, Usman A. Adipocytokines and aging: adiponectin and leptin. Minerva Endocrinol. 2013;38(2):203-10.
  94. Unamuno X, Gómez-Ambrosi J, Rodríguez A, Becerril S, Frühbeck G, Catalán V. Adipokine dysregulation and adipose tissue inflammation in human obesity. Eur J Clin Invest. 2018;48(9):e12997. Available from: https://doi. org/10.1111/eci.12997
  95. Meamar R, Amini M, Aminorroaya A, Nasri M, Abyar M, Feizi A. Severity of the metabolic syndrome as a predictor of prediabetes and type 2 diabetes in first degree relatives of type 2 diabetic patients: A 15-year prospective cohort study. World J Diabetes. 2020;11(5):202-12. Available from: https:// doi.org/10.4239/wjd.v11.i5.202
  96. Badritdinova MN, Ochilova DA, Kudratova DSh. Rasprostranyonnost’ nekotorykh komponentov metabolicheskogo sindroma sredi zhenskogo naseleniya [Prevalence of some components metabolic syndrome among the female population]. Biologiya i integrativnaya meditsina. 2016;2:53-61.
  97. Khabriev RU, Kakorina EP, Kuzmina LP, Fishman BB, Prozorova IV, Raff SA, i dr. Organizatsionnye aspekty ranney diagnostiki metabolicheskogo sindroma na osnove vnedreniya novykh geneticheskikh, kletochnykh i bioinformatsionnykh tekhnologiy [The organizational aspects of early diagnostic of metabolic syndrome on the basis of implementation of new genetic, cellular and bio-informational technologies]. Problemy sotsial’noy gigieny, zdravookhraneniya i istorii meditsiny. 2019;27(5):796-802. Available from: https://doi. org/10.32687/0869-866X-2019-27-5-796-802
  98. Srikanthan K, Feyh A, Visweshwar H, Shapiro JI, Sodhi K. Systematic review of metabolic syndrome biomarkers: a panel for early detection, management, and risk stratification in the West Virginian Population. Int J Med Sci. 2016;13(1):25-38. Available from: https://doi.org/10.7150/ijms.13800

Authors' information:


Abdullozoda Said Murtazo
Candidate of Medical Sciences, Applicant for the Department of Epidemiology, Avicenna Tajik State Medical University
ORCID ID: 0000-0003-0058-7633
SPIN: 5979-1928
Author ID: 991827
E-mail: saidxoja@gmail.com

Information about support in the form of grants, equipment, medications

The author did not receive financial support from manufacturers of medicines and medical equipment

Conflicts of interest: No conflict

Address for correspondence:


Abdullozoda Said Murtazo
Candidate of Medical Sciences, Applicant for the Department of Epidemiology, Avicenna Tajik State Medical University

734003, Republic of Tajikistan, Dushanbe, Rudaki Ave., 139

Tel.: +992 (44) 6003659

E-mail: saidxoja@gmail.com