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Subcutaneous and Visceral Fat Indices and Their Relationship with the Complex of Endogenous and Exogenous Factors in the Adult Population of the Altai Republic

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Abstract

The aim of the study was to analyze the association of a complex of anthropogenetic and environmental factors with the subcutaneous and visceral fat indices measured by local configurations of bioimpedance analysis in ethnic Altaians. This study involved 110 relatively healthy men (62) and women (48), representatives of the indigenous peoples of Altai, aged from 17 to 35 years. The study program included anthropometric examination, determination of body composition using bioimpedance (ABC-02 Medass analyzer), measurement of local impedances in the abdominal region, and identification of genotypes by polymorphic systems of uncoupling protein genes UCP1–3. Sexual dimorphism was shown for most of the studied morphological and functional traits. Subcutaneous and visceral fat indices were found to be highly correlated with the index of central obesity and body fat percentage. Endogenous traits, sex, age, and the number of “thrifty” alleles of the genes of uncoupling proteins 1–3 did not have a significant effect on the subcutaneous and visceral fat indices in the examined group of young people (17–35 years old). Informative feature selection using random forests and the Boruta algorithm revealed that the leading predictors associated with abdominal topography of fat deposition in the examined group are WHtR (Waist-to-height ratio) and BFP (body fat percentage).

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REFERENCES

  1. Official Site of the World Health Organization. 2020. https://www.who.int/ru/news-room/fact-sheets/detail/obesity-and-overweight. Accessed August 25, 2020.

  2. Ibrahim, M.M., Subcutaneous and visceral adipose tissue: Structural and functional differences, Obes. Rev., 2010, vol. 11, no. 1, pp. 11–18.

    Article  Google Scholar 

  3. Tanaka, T., Kishi, S., Ninomiya, K., Tomii, D., Koseki, K., Sato, Y., Okuno, T., Sato, K., Koike, H., Yahagi, K., Komiyama, K., Aoki, J., and Tanabe, K., Impact of abdominal fat distribution, visceral fat, and subcutaneous fat on coronary plaque scores assessed by 320-row computed tomography coronary angiography, Atherosclerosis, 2019, vol. 287, pp. 155–161.

    Article  CAS  Google Scholar 

  4. Jialal, I. and Devaraj, S., Subcutaneous adipose tissue biology in metabolic syndrome, Horm. Mol. Biol. Clin. Invest., 2018, vol. 33, no. 1. https://doi.org/10.1515/hmbci-2017-0074

  5. Scharfetter, H., Schlager, T., Stollberger, R., Felsberger, R., Hutten, H., and Hinghofer-Szalkay, H., Assessing abdominal fatness with local bioimpedance analysis: Basics and experimental findings, Int. J. Obes. Relat. Metab. Disord., 2001, vol. 25, no. 4, pp. 502–511.

    Article  CAS  Google Scholar 

  6. Ryo, M., Maeda, K., Onda, T., Katashima, M., Okumiya, A., Nishida, M., Yamaguchi, T., Funahashi, T., Matsuzawa, Y., Nakamura, T., and Shimomura, I., A new simple method for the measurement of visceral fat accumulation by bioelectrical impedance, Diabetes Care, 2005, vol. 28, no. 2, pp. 451–453.

    Article  Google Scholar 

  7. Solov’eva, A.E., Gil’-Ordones, E., Gonzales-Korrea, K.Kh., and Rudnev, S.G., The use of local impedance measurement for the assessment of subcutaneous and visceral fat deposition in the abdominal area in university students, Morfologiya, 2019, vol. 156, no. 4, pp. 85–90.

    Google Scholar 

  8. Sámano, R., Huesca-Gómez, C., López-Marure, R., Hernández-Cabrera, A.K., Rodríguez-Ventura, A., Tolentino, M., Morales, R.M., and Gamboa, R., Association between UCP polymorphisms and adipokines with obesity in Mexican adolescents, J. Pediatr. Endocrinol. Metab., 2018, vol. 31, no. 5, pp. 561–568.

    Article  Google Scholar 

  9. Pravednikova, A.E., Shevchenko, S.Y., Kerchev, V.V., Kerchev, V.V., Skhirtladze, M.R., Larina, S.N., Kachaev, Z.M., Egorov, A.D., and Shidlovskii, Y.V., Association of uncoupling protein (UCP) gene polymorphisms with cardiometabolic diseases, Mol. Med., 2020, vol. 26, no. 1, p. 51.

    Article  Google Scholar 

  10. Brondani, L.A., Assmann, T.S., de Souza, B.M., Bouças, A.P., Canani, L.H., and Crispim, D., Meta-analysis reveals the association of common variants in the uncoupling protein (UCP) 1-3 genes with body mass index variability, PLoS One, 2014, vol. 9, no. 5, artic. no. e96411.

  11. Salopuro, T., Pulkkinen, L., Lindström, J., Kolehmainen, M., Tolppanen, A.M., Eriksson, J.G., Valle, T.T., Aunola, S., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Tuomilehto, J., Laakso, M., and Uusitupa, M., Variation in the UCP2 and UCP3 genes associates with abdominal obesity and serum lipids: The Finnish diabetes prevention study, BMC Med. Genet., 2009, vol. 10, no. 1, p. 94.

    Article  Google Scholar 

  12. Official Site of the Office of the Federal Service for Supervision in the Sphere of Consumer Rights Protection and Human Welfare in the Altai Republic, 2006–2015. http://04.rospotrebnadzor.ru/index.php/press-center/healthy-lifestyle/11171-12082019.html. Accessed August 25, 2020.

  13. Khomyakova, I.A. and Balinova, N.V., Anthropological studies in the Altai Republic: A preliminary analysis of the morphological features of northern and southern Altaians, Vestn. Mosk. Univ., Ser. 23: Antropol., 2017, no. 4, pp. 28–41.

  14. Negasheva, M.A., Osnovy antropometrii (Fundamentals of Anthropometry), Moscow: Ekon-Inform, 2017.

  15. Nikolaev, D.V., Smirnov, A.V., Bobrinskaya, I.G., and Rudnev, S.G., Bioimpedansnyi analiz sostava tela cheloveka (Bioimpedance Analysis of Human Body Composition), Moscow: Nauka, 2009.

  16. R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. 2018. https://www.R-project.org/. Accessed August 25, 2020.

  17. Zuur, A.F., Ieno, E.N., and Elphick, C.S., A protocol for data exploration to avoid common statistical problems, Methods Ecol. Evol., 2010, vol. 1, no. 1, pp. 3–14.

    Article  Google Scholar 

  18. Browning, L.M., Mugridge, O., Dixon, A.K., Aitken, S.W., Prentice, A.M., and Jebb, S.A., Measuring abdominal adipose tissue: Comparison of simpler methods with MRI, Obes. Facts, 2011, vol. 4, no. 1, pp. 9–15.

    Article  Google Scholar 

  19. Fang, H., Berg, E., Cheng, X., and Shen, W., How to best assess abdominal obesity, Curr. Opin. Clin. Nutr. Metab. Care, 2018, vol. 21, no. 5, pp. 360–365.

    Article  Google Scholar 

  20. Pouliot, M.C., Jean-Pierre, DespresJ.P., Lemieux, S., Moorjani, S., Bouchard, C., Tremblay, A., Nadeau, A., and Lupien, P.J., Waist circumference and abdominal sagittal diameter: Best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women, Am. J. Cardiol., 1994, vol. 73, no. 7, pp. 460–468.

    Article  CAS  Google Scholar 

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Funding

This work was financially supported by the Russian Foundation for Basic Research (nos. 18-09-00258, 18-59-94015, 20-49-040004 r_a) and the target research project no. AAAA-A19-119013090163-2 “Anthropology of Eurasian Populations” of Moscow State University.

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Authors and Affiliations

  1. Research Institute and Museum of Anthropology, Moscow State University, 125009, Moscow, Russia

    A. N. Rokkina, L. V. Zadorozhnaya & I. A. Khomyakova

  2. Institute of Gene Biology, Russian Academy of Sciences, 119334, Moscow, Russia

    A. E. Pravednikova & Yu. V. Shidlovskii

  3. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of the Russian Federation, 119991, Moscow, Russia

    A. E. Pravednikova & Yu. V. Shidlovskii

  4. Gorno-Altaisk State University, 649000, Gorno-Altaisk, Russia

    E. V. Popova

Authors
  1. A. N. Rokkina
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  2. A. E. Pravednikova
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  3. Yu. V. Shidlovskii
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  4. E. V. Popova
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  5. L. V. Zadorozhnaya
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  6. I. A. Khomyakova
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Correspondence to A. N. Rokkina.

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COMPLIANCE WITH ETHICAL STANDARDS

Conflict of interests. The authors declare that they have no conflict of interests.

Statement of compliance with standards of research involving humans as subjects. The examination was carried out in compliance with the rules of bioethics. A positive conclusion was received from the local committee on bioethics of the Faculty of Biology of Moscow State University (no. 91-o from May 24, 2018). All volunteers who participated in the survey were aware of the objectives and methods of the examination and provided their informed consent. Genetic samples were encrypted and all data were analyzed in anonymized form.

ADDITIONAL INFORMATION

Rokkina ORCID: 0000-0003-0809-2088

Shidlovskii ORCID: 0000-0002-3643-9889

Zadorozhnaya ORCID: 0000-0002-8819-5329

Khomyakova ORCID: 0000-0002-2811-2034

Pravednikova ORCID: 0000-0002-4572-5318

Popova ORCID: 000-0002-4241-3669

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Translated by K. Lazarev

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Rokkina, A.N., Pravednikova, A.E., Shidlovskii, Y.V. et al. Subcutaneous and Visceral Fat Indices and Their Relationship with the Complex of Endogenous and Exogenous Factors in the Adult Population of the Altai Republic. Moscow Univ. Biol.Sci. Bull. 76, 28–33 (2021). https://doi.org/10.3103/S0096392521010041

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  • DOI: https://doi.org/10.3103/S0096392521010041

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