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Interrelationships of hyperuricemia, insulin resistance, and stages of obesity

https://doi.org/10.14341/omet13282

Abstract

BACKGROUND: Obesity and hyperuricemia (HU) as metabolically and genetically similar conditions with a single list of comorbid diseases are of serious concern to the global scientific community.

AIM: to assess the incidence of GU and the severity of insulin resistance with different levels of fat content in comparison with BMI levels and obesity stages in working patients.

MATERIALS AND METHODS: A cross-sectional, single-center study included 458 working patients observed in the private healthcare institution "KB "RZhD-Medicine" in Yaroslavl. BMI, laboratory blood test results (glucose, uric acid, triglycerides, cholesterol, high-density lipoproteins), data on existing chronic diseases, and a photoplethysmographic marker of insulin resistance were recorded. The obesity stage was determined based on the presence/absence of fasting hyperglycemia, hypertriglyceridemia, decreased HDL-C, and comorbidity data. Statistical processing of the results was performed using the Statistica13 program.

RESULTS: Assessment of obesity by ABCD stages demonstrated the prevalence of metabolically unhealthy obesity (OB stages 1 and 2) in 64.8% of patients (OB1 — in 40.8% of subjects and OB 2 — 24.0%). HU occurs in metabolically unhealthy obesity more often at the second stage than at the first in men by 2.2 times, in women by 2.7 times, and relative to individuals with normal body weight, this ratio is 5.6 and 9.04 times. Photoplethysmographic marker of insulin resistance increased from the group with normal body weight to OB stage 2. Pathological level of photoplethysmographic marker of insulin resistance in men with OB stage 2 was detected more often by 1.4 times compared to OB 0 and by 2.25 times relative to OB stage 1, in women — by 2.2 and 2.1 times, respectively.

CONCLUSION: Metabolically neutral accumulation of fat mass (overweight and obesity stage 0) is very rare in the modern population of outpatient working patients (5.4–3.35%, respectively). Surrogate markers of insulin resistance are determined even with metabolically neutral variants of excess adipose tissue accumulation and reach a prevalence of more than 50% in stage 2 obesity. Hyperuricemia is practically not found in metabolically neutral variants of excess body fat and can act as a cheap routine marker of metabolic distress and a criterion for the effectiveness of preventive interventions.

About the Authors

I. G. Krasivina
Federal State Budgetary Educational Institution of Higher Education "Yaroslavl State Medical University" of the Ministry of Health of the Russian Federation
Russian Federation

Irina G.Krasivina, MD

Yaroslavl

Researcher ID: PDY-4929-2025

Scopus ID: 8937644800


Competing Interests:

Авторы декларируют отсутствие явных и  потенциальных конфликтов интересов, связанных с  содержанием настоящей статьи 



N. V. Dolgov
Private Healthcare Institution "Clinical Hospital "RZD-Medicine" city of Yaroslavl"
Russian Federation

Nikolai V. Dolgov

Yaroslavl

Researcher ID: PDY-4132-2025

Scopus ID: 57221997910


Competing Interests:

Авторы декларируют отсутствие явных и  потенциальных конфликтов интересов, связанных с  содержанием настоящей статьи



L. N. Dolgova
Federal State Budgetary Educational Institution of Higher Education "Yaroslavl State Medical University" of the Ministry of Health of the Russian Federation; Private Healthcare Institution "Clinical Hospital "RZD-Medicine" city of Yaroslavl"
Russian Federation

Lidiia N. Dolgova, MD

5 Revolyutsionnaya street, 150000, Yaroslavl

Researcher ID: PDY-2960-2025

Scopus ID: 23992161700


Competing Interests:

Авторы декларируют отсутствие явных и  потенциальных конфликтов интересов, связанных с  содержанием настоящей статьи



E. A. Pyatovskaya
Private Healthcare Institution "Clinical Hospital "RZD-Medicine" city of Yaroslavl"
Russian Federation

Ekaterina A. Pyatovskaya

Yaroslavl

Researcher ID: PDY-3690-2025


Competing Interests:

Авторы декларируют отсутствие явных и  потенциальных конфликтов интересов, связанных с  содержанием настоящей статьи



References

1. Drapkina OM, Mazurov VI, Martynov AI, et al. Consensus for physicians on the management of patients with asymptomatic hyperuricemia in general therapeutic practice. Cardiovascular Therapy and Prevention. 2024;23(1):3737. (In Russ.) doi: https://doi.org/10.15829/1728-8800-2024-3737

2. Fan J, Bian C, Wang J, et al. Correlation Between Metabolic Syndrome and Hyperuricemia: A Systematic Review and Meta-analysis. Am J Hypertens. 2025;38(7):485-497. doi: https://doi.org/10.1093/ajh/hpaf031

3. Wen ZY, Wei YF, Sun YH, Ji WP. Dietary pattern and risk of hyperuricemia: an updated systematic review and metaanalysis of observational studies. Front Nutr. 2024;11:1218912. doi: https://doi.org/10.3389/fnut.2024.1218912

4. Li Y, Yi S, Jiang W, Gong M. Exploring the Relationship Between Different Obesity Metabolism Indices and Hyperuricemia in Patients with Hypertension and Coronary Heart Disease. Diabetes Metab Syndr Obes. 2024;17:3817-3832. doi: https://doi.org/10.2147/DMSO.S491255

5. Drapkina OM, Samorodskaya IV, Starinskaya MA, Kim OT, Nejmark AE. Ozhirenie: ocenka i taktika vedeniya pacientov. Kollektivnaya monografiya. M.: FGBU “NMIC TPM” Minzdrava Rossii; OOO “Siliceya-Poligraf”. 2021. — 174 s. (In Russ.) https://org.gnicpm.ru/wp-content/uploads/2023/02/8.5-ozhirenie-taktika-vedeniya-paczientov.pdf

6. Shabalin VV, Grinstein YuI, Ruf RR, Samsonov NS. Asymptomatic hyperuricemia: obvious, controversial, hypothetical. Russian Journal of Preventive Medicine. 2023;26(7):103 109. (In Russ.) doi: https://doi.org/10.17116/profmed202326071103

7. Donini LM, Pinto A, Giusti AM, et al. Obesity or BMI Paradox? Beneath the Tip of the Iceberg. Frontiers in Nutrition. 2020;7:53. doi: https://doi.org/10.3389/fnut.2020.00053

8. Volkova NI, Ganenko LA, Porksheyan MI. Metabolic healthy obtsity, what do we know about it? Medical Herald of the South of Russia. 2017;8(3):6-16. (In Russ.) doi: https://doi.org/10.21886/2219-8075-2017-8-3-6-16

9. 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):31-37. (In Russ.) doi: https://doi.org/10.14341/omet9615

10. Garvey WT, Garber AJ, Mechanick JI, et al. The Aace Obesity Scientific Committee. American association of clinical endocrinologists and american college of endocrinology position statement on the 2014 advanced framework for a new diagnosis of obesity as a chronic disease. Endocr Pract. 2014;20(9):977- 89. doi: https://doi.org/10.4158/EP14280.PS

11. Mechanick JI, Hurley DL, Garvey WT. Adiposity-Based Chronic Disease as a new diagnostic term: the American Association of Clinical Endocrinologists and American College of Endocrinology position statement. Endocr Pract. 2017;23(3):372-378. doi: https://doi.org/10.4158/EP161688.PS

12. Samorodskaya IV, Bolotova EV, Boytsov SA. Current issues of obesity classification. Cardiovascular Therapy and Prevention. 2015;14(4):103-110. (In Russ.) doi: https://doi.org/10.15829/1728-8800-2015-4-103-110

13. Nedogoda SV, Barykina IN, Salasyuk AS. National Clinical Guidelines on Obesity: Concept and Prospects. Vestnik VolgGMU. 2017;1(61):134-140 (In Russ.)

14. Dedov II, Mokrysheva NG, Melnichenko GA, Troshina EA, Mazurina NV, Ershova EV, et al. Clinical recommendations «Gestational diabetes mellitus» of the Russian Ministry of Health. Version of the year 2024. Bulletin of Reproductive Health. 2025;4(2):14-30. (In Russ.) doi: https://doi.org/10.14341/brh12763

15. Nieto-Martínez R, González-Rivas JP, Ugel E, et al. Application of the AACE/ACE advanced framework for the diagnosis of obesity and cardiometabolic disease staging in a general population from 3 regions of Venezuela: the VEMSOLS STUDY results. Endocr Pract. 2018;24(1):6-13. doi: https://doi.org/10.4158/EP161644.OR

16. Gonzalez-Rivas JP, Mechanick JI, Hernandez JP, et al. Prevalence of adiposity-based chronic disease in middle-aged adults from Czech Republic: The Kardiovize study. Obes Sci Pract. 2021;7(5):535-544. doi: https://doi.org/10.1002/osp4.496

17. González-Salazar LE, Serralde-Zúñiga AE, Flores-López A, et al Prevalence of adiposity-based chronic disease and its association with anthropometric and clinical indices: a cross-sectional study. Br J Nutr. 2023;130(1):93-102. doi: https://doi.org/10.1017/S0007114522002963

18. Panlu K, Zhou Z, Huang L, et al. Associations between obesity and hyperuricemia combing mendelian randomization with network pharmacology. Heliyon. 2024;10(6):e27074. doi: https://doi.org/10.1016/j.heliyon.2024.e27074

19. Lavrenova EA, Drapkina OM. Insulin resistance in obesity: pathogenesis and effects. Obesity and metabolism. 2020;17(1):48-55. (In Russ.). doi: https://doi.org/10.14341/omet9759

20. De Souza AL, Batista GA, Alegre SM. Assessment of insulin sensitivity by the hyperinsulinemic euglycemic clamp: Comparison with the spectral analysis of photoplethysmography. J Diabetes Complications. 2017;31(1):128-133. doi: https://doi.org/10.1016/j.jdiacomp.2016.10.018

21. Roytberg GE, Dorosh JV, Sharkhun OO, et al. New metabolic index use potentialities in evalution of insulin resistance in clinical practice. Rational Pharmacotherapy in Cardiology. 2014;10(3):264-274. (In Russ.) doi: https://doi.org/10.20996/1819-6446-2014-10-3-264-274


Supplementary files

1. Рисунок 1. Распределение мужчин и женщин в подгруппах по ИМТ и стадиям нарушения массы тела.
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Type Исследовательские инструменты
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Krasivina I.G., Dolgov N.V., Dolgova L.N., Pyatovskaya E.A. Interrelationships of hyperuricemia, insulin resistance, and stages of obesity. Obesity and metabolism. 2025;22(4):297-305. (In Russ.) https://doi.org/10.14341/omet13282

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ISSN 2071-8713 (Print)
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