Frontiers in Genetics (Jan 2023)

siMS score- method for quantification of metabolic syndrome, confirms co-founding factors of metabolic syndrome

  • V. Dimitrijevic-Sreckovic,
  • V. Dimitrijevic-Sreckovic,
  • H. Petrovic,
  • D. Dobrosavljevic,
  • D. Dobrosavljevic,
  • E. Colak,
  • N. Ivanovic,
  • N. Ivanovic,
  • D. Gostiljac,
  • D. Gostiljac,
  • S. Ilic,
  • D. Nikolic,
  • D. Nikolic,
  • J. Gacic,
  • J. Gacic,
  • I. Soldatovic,
  • I. Soldatovic

DOI
https://doi.org/10.3389/fgene.2022.1041383
Journal volume & issue
Vol. 13

Abstract

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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.

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