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Correlates of Insulin Resistance in Nascent Metabolic Syndrome
BACKGROUND: Metabolic Syndrome (MetS), a major global problem, is a cluster of cardio-metabolic risk factors that predisposes to both type 2 diabetes mellitus (T2DM) and premature atherosclerotic cardiovascular disease (ASCVD). Insulin resistance is a major underpinning of MetS. OBJECTIVES: We inves...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126783/ https://www.ncbi.nlm.nih.gov/pubmed/37113327 http://dx.doi.org/10.1177/11795514231168279 |
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author | Adams-Huet, Beverley Jialal, Ishwarlal |
author_facet | Adams-Huet, Beverley Jialal, Ishwarlal |
author_sort | Adams-Huet, Beverley |
collection | PubMed |
description | BACKGROUND: Metabolic Syndrome (MetS), a major global problem, is a cluster of cardio-metabolic risk factors that predisposes to both type 2 diabetes mellitus (T2DM) and premature atherosclerotic cardiovascular disease (ASCVD). Insulin resistance is a major underpinning of MetS. OBJECTIVES: We investigated the relationship between insulin resistance and biomarkers of inflammation, oxidative stress, free fatty acids (FFA) levels and adipokine dysregulation in a cohort of nascent MetS. DESIGN: This was a cross-sectional study comparing patients with MetS with matched controls. PATIENTS AND METHODS: Participants included 47 patients with MetS and 41 controls. Persons with diabetes, ASCVD, smoking and macro-inflammation were excluded. Fasting blood was obtained for both plasma and monocyte isolation. Homeostasis model assessment insulin resistance index (HOMA-IR) was calculated from fasting glucose and insulin levels. RESULTS: The patients were insulin resistant as determined by a valid measure, HOMA-IR. HOMA-IR increased with increasing severity of MetS and correlated with cardio-metabolic features, hsCRP, FFA levels, and adipose tissue insulin resistance. Insulin resistance also correlated with biomarkers of oxidative stress and both circulating and cellular biomarkers of inflammation. Receiver operating Characteristic (ROC) curve analysis revealed that HOMA-IR was an excellent predictor of MetS with an area under the curve of 0.80. CONCLUSION: In our patients with nascent MetS we show that they have significant insulin resistance. Based on our findings, elevated FFA levels, oxidative stress and inflammation could contribute to the insulin resistance. |
format | Online Article Text |
id | pubmed-10126783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-101267832023-04-26 Correlates of Insulin Resistance in Nascent Metabolic Syndrome Adams-Huet, Beverley Jialal, Ishwarlal Clin Med Insights Endocrinol Diabetes Original Research BACKGROUND: Metabolic Syndrome (MetS), a major global problem, is a cluster of cardio-metabolic risk factors that predisposes to both type 2 diabetes mellitus (T2DM) and premature atherosclerotic cardiovascular disease (ASCVD). Insulin resistance is a major underpinning of MetS. OBJECTIVES: We investigated the relationship between insulin resistance and biomarkers of inflammation, oxidative stress, free fatty acids (FFA) levels and adipokine dysregulation in a cohort of nascent MetS. DESIGN: This was a cross-sectional study comparing patients with MetS with matched controls. PATIENTS AND METHODS: Participants included 47 patients with MetS and 41 controls. Persons with diabetes, ASCVD, smoking and macro-inflammation were excluded. Fasting blood was obtained for both plasma and monocyte isolation. Homeostasis model assessment insulin resistance index (HOMA-IR) was calculated from fasting glucose and insulin levels. RESULTS: The patients were insulin resistant as determined by a valid measure, HOMA-IR. HOMA-IR increased with increasing severity of MetS and correlated with cardio-metabolic features, hsCRP, FFA levels, and adipose tissue insulin resistance. Insulin resistance also correlated with biomarkers of oxidative stress and both circulating and cellular biomarkers of inflammation. Receiver operating Characteristic (ROC) curve analysis revealed that HOMA-IR was an excellent predictor of MetS with an area under the curve of 0.80. CONCLUSION: In our patients with nascent MetS we show that they have significant insulin resistance. Based on our findings, elevated FFA levels, oxidative stress and inflammation could contribute to the insulin resistance. SAGE Publications 2023-04-19 /pmc/articles/PMC10126783/ /pubmed/37113327 http://dx.doi.org/10.1177/11795514231168279 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Adams-Huet, Beverley Jialal, Ishwarlal Correlates of Insulin Resistance in Nascent Metabolic Syndrome |
title | Correlates of Insulin Resistance in Nascent Metabolic Syndrome |
title_full | Correlates of Insulin Resistance in Nascent Metabolic Syndrome |
title_fullStr | Correlates of Insulin Resistance in Nascent Metabolic Syndrome |
title_full_unstemmed | Correlates of Insulin Resistance in Nascent Metabolic Syndrome |
title_short | Correlates of Insulin Resistance in Nascent Metabolic Syndrome |
title_sort | correlates of insulin resistance in nascent metabolic syndrome |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126783/ https://www.ncbi.nlm.nih.gov/pubmed/37113327 http://dx.doi.org/10.1177/11795514231168279 |
work_keys_str_mv | AT adamshuetbeverley correlatesofinsulinresistanceinnascentmetabolicsyndrome AT jialalishwarlal correlatesofinsulinresistanceinnascentmetabolicsyndrome |