Frailty index and type 2 diabetes with renal complications: insights from Mendelian randomization and retrospective observational study
Huanhua Wu, Jiaxin Lin, Xiongbin Wu, Xiaozheng Cao, Biao Wu, Hongmei Liu · 2026
Read Frailty index and type 2 diabetes with renal complications: insights from Mendelian randomization and retrospective observational study by Huanhua Wu, Jiaxin Lin, Xiongbin Wu, Xiaozheng Cao, Biao Wu, Hongmei Liu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13292309.txt.
Description
Huanhua Wu and co-authors pair a 2026 genetics method with clinic data to probe whether frailty helps cause diabetic kidney complications. Mendelian randomization used genome-wide data to test genetically predicted frailty against type 2 diabetes with renal complications. A separate dialysis cohort of 100 patients let the team compare frailty in kidney failure with and without diabetes.
Genetic frailty raised the odds of diabetes with renal complications sharply, at an inverse-variance weighted odds ratio of 5.30 in the analysis, with no strong signs of pleiotropy. In the clinic cohort, diabetic patients scored more frail than others, medians 2.0 against 1.0 on their scale. Machine learning flagged dialysis time, grip strength, and activity as top classifiers. The authors treat frailty as a meaningful vulnerability marker needing prospective proof.
Catalog record
| CREATOR | Huanhua Wu, Jiaxin Lin, Xiongbin Wu, Xiaozheng Cao, Biao Wu, Hongmei Liu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43727 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |