Integrative multi-omics Mendelian randomization reveals key lipid metabolism genes as therapeutic targets for diabetic nephropathy pathogenesis
Shan Liu, Yan Xia, Lin Ding, Mingxia Zhang, Wangzhen Wang, Junying Zhou, Lunzhi Liu · 2026
Read Integrative multi-omics Mendelian randomization reveals key lipid metabolism genes as therapeutic targets for diabetic nephropathy pathogenesis by Shan Liu, Yan Xia, Lin Ding, Mingxia Zhang, Wangzhen Wang, Junying Zhou, Lunzhi 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/pmc-13228183.txt.
Description
Shan Liu and co-authors hunt a 2026 set of fat-metabolism genes that causally raise the risk of diabetic kidney disease, using a genetic method that mimics randomisation. Data on DNA methylation, gene activity, and protein levels from tens of thousands of people were combined with a Finnish genome study of the disease, then validated in a second dataset. Kidney tissue databases added checks on how the genes behave as function declines.
Three genes survived the screen: CERS2, MED27, and PLA2G1B. Genetically higher activity of the first two raised disease risk, and specific methylation marks on them appeared protective. A puzzle remains, because in actual kidney tissue higher activity of all three tracked better function, with early-stage rises that faded later.
Catalog record
| CREATOR | Shan Liu, Yan Xia, Lin Ding, Mingxia Zhang, Wangzhen Wang, Junying Zhou, Lunzhi Liu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 41 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |