Dimitrijevic-Sreckovic, V. (6506375884)V. (6506375884)Dimitrijevic-SreckovicPetrovic, H. (57222276058)H. (57222276058)PetrovicDobrosavljevic, D. (21133925200)D. (21133925200)DobrosavljevicColak, E. (56216778500)E. (56216778500)ColakIvanovic, N. (23097433900)N. (23097433900)IvanovicGostiljac, D. (13409402200)D. (13409402200)GostiljacIlic, S. (57212487618)S. (57212487618)IlicNikolic, D. (55149192700)D. (55149192700)NikolicGacic, J. (26023073400)J. (26023073400)GacicSoldatovic, I. (35389846900)I. (35389846900)Soldatovic2025-06-122025-06-122023https://doi.org/10.3389/fgene.2022.1041383https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146903022&doi=10.3389%2ffgene.2022.1041383&partnerID=40&md5=42fdcdb50d6b843a6e39dbda7b3265b9https://remedy.med.bg.ac.rs/handle/123456789/2886Background: Adipose tissue is a dynamic endocrine organ, a highly active metabolic tissue, and an important source of cytokines. Inflammatory factors play an important role in visceral obesity associated with insulin resistance (IR), metabolic syndrome (MS), hypertension, non-alcoholic fatty liver disease (NAFLD), diabetes mellitus type 2 (DM2), endothelial dysfunction (ED) and atherosclerosis. Objectives: To examine corelation of siMS score, as a quantification method for metabolic syndrome (MS), with insulin resistance, glucoregulation parameters, as with other co-founding factors of MS, inflammation and thrombosis factors, microalbuminuria, uric acid, fatty liver index (FLI) and homocysteine. Methods: The study included 451 obese individuals with pre–metabolic syndrome (pre-MS) and MS (age 16–75, body mass index (BMI) > 25kg/m2) classified into two groups: I-age 10–30 (167 patients); II-age 31–75 (284 patients). International Diabetes Federation (IDF) classification was applied for diagnosing metabolic syndrome. Patients with less than three criteria indicated below were considered pre-metabolic syndrome. siMS risk score was used. Results: siMS score increased with age: I-3.03 ± 0.87, II-3.27 ± 0.90. siMS score correlated with associated factors of MS: hyperinsulinemia and IR, ALT, gama-GT, FLI, uric acid in both groups and CRP (p < 0.01) in group I. Correlations in II group: siMS score with PAI-1 (p = 0.01), microalbuminuria (p = 0.006), homocysteine ​​(p = 0.076). Conclusion: Correlation of siMS score with HOMA-IR confirmed that hyperinsulinism and insulin resistance are in the basis of MS. Correlation of siMS score with parameters of NAFLD, CRP, PAI-1, uric acid, microalbuminuria and homocysteine indicates that they are significant co-founding factors of MS. Correlation of siMS score with PAI-1, microalbuminuria, homocysteine, indicates higher risk for progression of endothelial dysfunction and atherosclerosis with age. Copyright © 2023 Dimitrijevic-Sreckovic, Petrovic, Dobrosavljevic, Colak, Ivanovic, Gostiljac, Ilic, Nikolic, Gacic and Soldatovic.insulin resistancemetabolic syndromenon-alcoholic fatty liver diseaseobesitysiMS score