Cargando…

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

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 d...

Descripción completa

Detalles Bibliográficos
Autores principales: Dimitrijevic-Sreckovic, V., Petrovic, H., Dobrosavljevic, D., Colak, E., Ivanovic, N., Gostiljac, D., Ilic, S., Nikolic, D., Gacic, J., Soldatovic, I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845596/
https://www.ncbi.nlm.nih.gov/pubmed/36685849
http://dx.doi.org/10.3389/fgene.2022.1041383
_version_ 1784870937763512320
author Dimitrijevic-Sreckovic, V.
Petrovic, H.
Dobrosavljevic, D.
Colak, E.
Ivanovic, N.
Gostiljac, D.
Ilic, S.
Nikolic, D.
Gacic, J.
Soldatovic, I.
author_facet Dimitrijevic-Sreckovic, V.
Petrovic, H.
Dobrosavljevic, D.
Colak, E.
Ivanovic, N.
Gostiljac, D.
Ilic, S.
Nikolic, D.
Gacic, J.
Soldatovic, I.
author_sort Dimitrijevic-Sreckovic, V.
collection PubMed
description 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/m(2)) 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.
format Online
Article
Text
id pubmed-9845596
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-98455962023-01-19 siMS score- method for quantification of metabolic syndrome, confirms co-founding factors of metabolic syndrome Dimitrijevic-Sreckovic, V. Petrovic, H. Dobrosavljevic, D. Colak, E. Ivanovic, N. Gostiljac, D. Ilic, S. Nikolic, D. Gacic, J. Soldatovic, I. Front Genet Genetics 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/m(2)) 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. Frontiers Media S.A. 2023-01-04 /pmc/articles/PMC9845596/ /pubmed/36685849 http://dx.doi.org/10.3389/fgene.2022.1041383 Text en Copyright © 2023 Dimitrijevic-Sreckovic, Petrovic, Dobrosavljevic, Colak, Ivanovic, Gostiljac, Ilic, Nikolic, Gacic and Soldatovic. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Dimitrijevic-Sreckovic, V.
Petrovic, H.
Dobrosavljevic, D.
Colak, E.
Ivanovic, N.
Gostiljac, D.
Ilic, S.
Nikolic, D.
Gacic, J.
Soldatovic, I.
siMS score- method for quantification of metabolic syndrome, confirms co-founding factors of metabolic syndrome
title siMS score- method for quantification of metabolic syndrome, confirms co-founding factors of metabolic syndrome
title_full siMS score- method for quantification of metabolic syndrome, confirms co-founding factors of metabolic syndrome
title_fullStr siMS score- method for quantification of metabolic syndrome, confirms co-founding factors of metabolic syndrome
title_full_unstemmed siMS score- method for quantification of metabolic syndrome, confirms co-founding factors of metabolic syndrome
title_short siMS score- method for quantification of metabolic syndrome, confirms co-founding factors of metabolic syndrome
title_sort sims score- method for quantification of metabolic syndrome, confirms co-founding factors of metabolic syndrome
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845596/
https://www.ncbi.nlm.nih.gov/pubmed/36685849
http://dx.doi.org/10.3389/fgene.2022.1041383
work_keys_str_mv AT dimitrijevicsreckovicv simsscoremethodforquantificationofmetabolicsyndromeconfirmscofoundingfactorsofmetabolicsyndrome
AT petrovich simsscoremethodforquantificationofmetabolicsyndromeconfirmscofoundingfactorsofmetabolicsyndrome
AT dobrosavljevicd simsscoremethodforquantificationofmetabolicsyndromeconfirmscofoundingfactorsofmetabolicsyndrome
AT colake simsscoremethodforquantificationofmetabolicsyndromeconfirmscofoundingfactorsofmetabolicsyndrome
AT ivanovicn simsscoremethodforquantificationofmetabolicsyndromeconfirmscofoundingfactorsofmetabolicsyndrome
AT gostiljacd simsscoremethodforquantificationofmetabolicsyndromeconfirmscofoundingfactorsofmetabolicsyndrome
AT ilics simsscoremethodforquantificationofmetabolicsyndromeconfirmscofoundingfactorsofmetabolicsyndrome
AT nikolicd simsscoremethodforquantificationofmetabolicsyndromeconfirmscofoundingfactorsofmetabolicsyndrome
AT gacicj simsscoremethodforquantificationofmetabolicsyndromeconfirmscofoundingfactorsofmetabolicsyndrome
AT soldatovici simsscoremethodforquantificationofmetabolicsyndromeconfirmscofoundingfactorsofmetabolicsyndrome