Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Clinical Diabetes

Volume 16 - 2025 | doi: 10.3389/fendo.2025.1610091

This article is part of the Research TopicThe Role of Normal Blood Lipid Levels in Metabolic and Endocrine DiseasesView all 4 articles

Relationship between nontraditional lipid parameters and the risk of type 2 diabetes in individuals recovered from dyslipidemia: a cohort study

Provisionally accepted
Yuxian  WangYuxian Wang1Zekai  ChenZekai Chen2Zhen  HeZhen He1Hailun  QinHailun Qin2Kuangyi  WuKuangyi Wu1Huancong  ZhengHuancong Zheng1Peng  FuPeng Fu1Zefeng  CaiZefeng Cai1Weiqiang  WuWeiqiang Wu1Yulong  LanYulong Lan1,3Dan  WUDan WU1,3Shouling  WuShouling Wu4*Youren  ChenYouren Chen1*
  • 1Second Affiliated Hospital of Shantou University Medical College, Shantou, China
  • 2University Medical Center Groningen, Groningen, Netherlands, Netherlands
  • 3Centre of Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
  • 4Kailuan General Hospital, Tangshan, Hebei Province, China

The final, formatted version of the article will be published soon.

Aims/Introduction: Lipid profiles are essential for assessing type 2 diabetes (T2D) risk, but individuals who recover from dyslipidemia are often overlooked, leaving their residual risk unclear. This study aimed to evaluate T2D risk in individuals with varying lipid change patterns and investigate the associations between traditional and novel lipid parameters with T2D risk among those recovered from dyslipidemia. Materials and Methods: In this prospective cohort study of the Kailuan Study, 39,283 non-diabetic participants were followed to evaluate T2D risk across lipid change patterns using the Cox proportional hazards models. A subset of 3,850 individuals recovered from dyslipidemia was analyzed to examine the associations between both traditional and novel lipid parameters and T2D risk using Cox models and restricted cubic splines. Predictive performance was assessed using the C-index. Results: During follow-up, 5,223 participants developed T2D. Individuals recovered from dyslipidemia had a significantly higher T2D risk (hazard ratio [HR], 1.37; 95% CI, 1.25-1.51) compared to those with persistent normal lipid levels. In this group, high-density lipoprotein cholesterol (HDL-C) was inversely associated with T2D risk, while triglyceride (TG), lipoprotein combine index (LCI), atherogenic index of plasma (AIP), non-HDL-C, Castelli's index-I, Castelli's index-II and triglyceride-glucose index (TyG) were positively associated. AIP and TyG outperformed other parameters in predictive ability.

Keywords: diabetes, cohort, Epidemiology, Nontraditional lipid parameters, Lipids

Received: 11 Apr 2025; Accepted: 09 Sep 2025.

Copyright: © 2025 Wang, Chen, He, Qin, Wu, Zheng, Fu, Cai, Wu, Lan, WU, Wu and Chen. 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) or licensor 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.

* Correspondence:
Shouling Wu, drwusl@163.com
Youren Chen, yrchen3@stu.edu.cn

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.