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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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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 |
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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 |
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