AUTHOR=Dimitrijevic-Sreckovic V. , Petrovic H. , Dobrosavljevic D. , Colak E. , Ivanovic N. , Gostiljac D. , Ilic S. , Nikolic D. , Gacic J. , Soldatovic I.
TITLE=siMS score- method for quantification of metabolic syndrome, confirms co-founding factors of metabolic syndrome
JOURNAL=Frontiers in Genetics
VOLUME=13
YEAR=2023
URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2022.1041383
DOI=10.3389/fgene.2022.1041383
ISSN=1664-8021
ABSTRACT=
Background: 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.