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Associations of insulin resistance and beta-cell function with abnormal lipid profile in newly diagnosed diabetes

BACKGROUND: Abnormal lipids are strong predictors of cardiovascular disease in type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM). However, the potential associations of insulin resistance (IR) and beta-cell function (BCF) with abnormal lipids in newly diagnosed T1DM or T2DM patient...

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Autores principales: Tang, Xiaohan, Yan, Xiang, Zhou, Houde, Huang, Gan, Niu, Xiaohong, Jiang, Hongwei, Su, Heng, Yang, Xilin, Li, Xia, Zhou, Zhiguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944004/
https://www.ncbi.nlm.nih.gov/pubmed/35245924
http://dx.doi.org/10.1097/CM9.0000000000002075
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author Tang, Xiaohan
Yan, Xiang
Zhou, Houde
Huang, Gan
Niu, Xiaohong
Jiang, Hongwei
Su, Heng
Yang, Xilin
Li, Xia
Zhou, Zhiguang
author_facet Tang, Xiaohan
Yan, Xiang
Zhou, Houde
Huang, Gan
Niu, Xiaohong
Jiang, Hongwei
Su, Heng
Yang, Xilin
Li, Xia
Zhou, Zhiguang
author_sort Tang, Xiaohan
collection PubMed
description BACKGROUND: Abnormal lipids are strong predictors of cardiovascular disease in type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM). However, the potential associations of insulin resistance (IR) and beta-cell function (BCF) with abnormal lipids in newly diagnosed T1DM or T2DM patients are not fully understood. METHODS: A cross-sectional survey of 15,928 participants was conducted. Homeostasis model assessment and postprandial C-peptide levels were used to estimate IR and BCF. A restricted cubic spline (RCS) nested in binary logistic regression was used to examine the associations of IR and BCF with abnormal lipids. RESULTS: High triglyceride (TG), low high-density lipoprotein cholesterol, and high low-density lipoprotein cholesterol (LDL-C) accounted for 49.7%, 47.8%, and 59.2% of the participants, respectively. In multivariable analysis, high IR was associated with an increased risk of high TGs (P for trend <0.001) in T1DM and is associated with an elevated risk of high TG and low HDL-C (all P for trend <0.01) in T2DM. Low BCF was not associated with risks of dyslipidemia in patients with T1DM or T2DM after adjustment for potential confounders. CONCLUSION: High IR had different associations with the risk of dyslipidemia in newly diagnosed T1DM and T2DM patients, suggesting that early treatment that improves IR may benefit abnormal lipid metabolism.
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spelling pubmed-99440042023-02-23 Associations of insulin resistance and beta-cell function with abnormal lipid profile in newly diagnosed diabetes Tang, Xiaohan Yan, Xiang Zhou, Houde Huang, Gan Niu, Xiaohong Jiang, Hongwei Su, Heng Yang, Xilin Li, Xia Zhou, Zhiguang Chin Med J (Engl) Original Articles BACKGROUND: Abnormal lipids are strong predictors of cardiovascular disease in type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM). However, the potential associations of insulin resistance (IR) and beta-cell function (BCF) with abnormal lipids in newly diagnosed T1DM or T2DM patients are not fully understood. METHODS: A cross-sectional survey of 15,928 participants was conducted. Homeostasis model assessment and postprandial C-peptide levels were used to estimate IR and BCF. A restricted cubic spline (RCS) nested in binary logistic regression was used to examine the associations of IR and BCF with abnormal lipids. RESULTS: High triglyceride (TG), low high-density lipoprotein cholesterol, and high low-density lipoprotein cholesterol (LDL-C) accounted for 49.7%, 47.8%, and 59.2% of the participants, respectively. In multivariable analysis, high IR was associated with an increased risk of high TGs (P for trend <0.001) in T1DM and is associated with an elevated risk of high TG and low HDL-C (all P for trend <0.01) in T2DM. Low BCF was not associated with risks of dyslipidemia in patients with T1DM or T2DM after adjustment for potential confounders. CONCLUSION: High IR had different associations with the risk of dyslipidemia in newly diagnosed T1DM and T2DM patients, suggesting that early treatment that improves IR may benefit abnormal lipid metabolism. Lippincott Williams & Wilkins 2022-11-05 2022-03-04 /pmc/articles/PMC9944004/ /pubmed/35245924 http://dx.doi.org/10.1097/CM9.0000000000002075 Text en Copyright © 2022 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Articles
Tang, Xiaohan
Yan, Xiang
Zhou, Houde
Huang, Gan
Niu, Xiaohong
Jiang, Hongwei
Su, Heng
Yang, Xilin
Li, Xia
Zhou, Zhiguang
Associations of insulin resistance and beta-cell function with abnormal lipid profile in newly diagnosed diabetes
title Associations of insulin resistance and beta-cell function with abnormal lipid profile in newly diagnosed diabetes
title_full Associations of insulin resistance and beta-cell function with abnormal lipid profile in newly diagnosed diabetes
title_fullStr Associations of insulin resistance and beta-cell function with abnormal lipid profile in newly diagnosed diabetes
title_full_unstemmed Associations of insulin resistance and beta-cell function with abnormal lipid profile in newly diagnosed diabetes
title_short Associations of insulin resistance and beta-cell function with abnormal lipid profile in newly diagnosed diabetes
title_sort associations of insulin resistance and beta-cell function with abnormal lipid profile in newly diagnosed diabetes
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944004/
https://www.ncbi.nlm.nih.gov/pubmed/35245924
http://dx.doi.org/10.1097/CM9.0000000000002075
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