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

Copyright © 2022 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license..

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:135

Enthalten in:

Chinese medical journal - 135(2022), 21 vom: 05. Nov., Seite 2554-2562

Sprache:

Englisch

Beteiligte Personen:

Tang, Xiaohan [VerfasserIn]
Yan, Xiang [VerfasserIn]
Zhou, Houde [VerfasserIn]
Huang, Gan [VerfasserIn]
Niu, Xiaohong [VerfasserIn]
Jiang, Hongwei [VerfasserIn]
Su, Heng [VerfasserIn]
Yang, Xilin [VerfasserIn]
Li, Xia [VerfasserIn]
Zhou, Zhiguang [VerfasserIn]

Links:

Volltext

Themen:

97C5T2UQ7J
Cholesterol
Cholesterol, HDL
Journal Article
Triglycerides

Anmerkungen:

Date Completed 03.01.2023

Date Revised 13.08.2023

published: Electronic

Citation Status MEDLINE

doi:

10.1097/CM9.0000000000002075

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM337770115