| Title: | Insulin resistance mediates the association between adiposity markers and incident chronic kidney disease: Findings from the UK Biobank prospective cohort study |
| Journal: | Diabetes Research and Clinical Practice |
| Published: | 15 May 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40381657/ |
| DOI: | https://doi.org/10.1016/j.diabres.2025.112255 |
Publication 15337
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Abstract
BACKGROUND: Limited research exists on fat distribution patterns and chronic kidney disease (CKD)/ end-stage kidney disease (ESKD) risks.</p>
METHODS: This UK Biobank study analyzed 398,307 adults without baseline CKD. Adiposity markers and insulin resistance (IR) indices (TyG index, TG/HDL-C ratio) were assessed. Hazard ratios (HR) and 95% CIs from Cox regression models evaluated adiposity markers and CKD/ESKD risks, with mediation analysis on IR.</p>
RESULTS: Over 13.62 years, 17,583 (3.37 per 1000 person-years) CKD and 1,509 (0.29 per 1000 person-years) ESKD cases occurred. After adjusting for BMI, high waist circumference and waist-to-hip ratio (WHR) were associated with a 23.0 % (HR: 1.23, 95 % CI: 1.19-1.27) and 17.0 % (HR: 1.17, 95 % CI: 1.12-1.22) increased risk of CKD and a 37.0 % (HR: 1.37, 95 % CI: 1.22-1.54) and 39.0 % (HR: 1.39, 95 % CI: 1.29-1.49) increased risk of ESKD, respectively. In the mediation analysis, BMI, waist circumference, and WHR accounted for 12 %, 44.4 %, and 23.8 % of the association between the TyG index and CKD, and 7.4 %, 26.7 %, and 13.9 % of the association between the TG/HDL-C ratio and CKD.</p>
CONCLUSION: Elevated WHR was linked to increased risks of CKD and ESKD. The mediating effect of IR indexes between WHR and CKD was more significant than BMI.</p>
20 Keywords
- Adiposity
- Adult
- Aged
- Biological Specimen Banks
- Biomarkers
- Body Mass Index
- Female
- Humans
- Incidence
- Insulin Resistance
- Kidney Failure, Chronic
- Male
- Middle Aged
- Prospective Studies
- Renal Insufficiency, Chronic
- Risk Factors
- UK Biobank
- United Kingdom
- Waist Circumference
- Waist-Hip Ratio
9 Authors
- Xiaojun Wang
- Ruilang Lin
- Xueying Ji
- Zhenyi Xu
- Hungchen Chang
- Xuchao Gu
- Maoqing Ye
- Yan Zhang
- Zhijun Bao
1 Application
| Application ID | Title |
|---|---|
| 98410 | The integration of epidemiological and genomic data to examine the relationship between early life exposure and aging-associated health outcomes later in life |
Enabling scientific discoveries that improve human health