已发表论文

脂质是肾功能与糖尿病风险之间的缺失环节吗?基于队列研究的中介分析见解

 

Authors Liang X , Hu H , Li Y, Gui S

Received 2 June 2025

Accepted for publication 2 September 2025

Published 6 September 2025 Volume 2025:18 Pages 5635—5649

DOI https://doi.org/10.2147/JMDH.S544229

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Jagdish Khubchandani

Xiaomin Liang,1,* Haofei Hu,2,* Ying Li,1 Shuiqing Gui1 

1Department of Critical Care Medicine, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, 518000, People’s Republic of China; 2Department of Nephrology, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, 518000, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Ying Li, Email liying20020813@163.com Shuiqing Gui, Email guishuiqing@163.com

Purpose: Both renal function impairment and lipid abnormalities are recognized risk factors for diabetes. However, the potential mediating role of lipid parameters in the relationship between renal function and diabetes risk remains unexplored. This study aimed to investigate whether and to what extent lipid parameters mediate the association between renal function and diabetes risk.
Patients and Methods: We conducted a cohort study including adults from 32 sites across 11 Chinese cities between 2010 and 2016. Renal function was assessed by estimated glomerular filtration rate (eGFR). Lipid parameters included triglyceride glucose (TyG), triglyceride glucose- body mass index (TyG-BMI), triglyceride/ high-density lipoprotein cholesterol (TG/HDL-c), and atherogenic index of plasma (AIP). Cox proportional hazards models were used to examine the relationship between eGFR and diabetes risk. Subgroup analyses were performed to identify potential effect modifiers. Mediation analyses quantified the proportion of eGFR’s effect on diabetes risk mediated through each lipid parameter.
Results: Among 115,488 participants (54.07% male, mean age 44.12 ± 12.95 years) followed for 3.10 ± 0.95 years, 2659 (2.30%) developed diabetes. After multivariable adjustment, higher eGFR was inversely associated with diabetes risk (HR=0.98, 95% CI: 0.98– 0.98). This association was more pronounced in females, participants < 60 years, those with BMI < 25 kg/m², SBP < 140 mmHg, non-smokers, non-drinkers, ALT < 40 U/L, and AST < 40 U/L. Mediation analyses revealed that TyG, TyG-BMI, TG/HDL-c, and AIP mediated 23.14%, 21.05%, 3.54%, and 12.49% of the eGFR-diabetes relationship, respectively.
Conclusion: Reduced renal function, as indicated by lower eGFR, is associated with increased diabetes risk. This relationship is partially mediated through lipid metabolism pathways, suggesting lipid may represent a missing link between renal function and diabetes risk.

Keywords: renal function, estimated glomerular filtration rate, diabetes, lipid, mediation