← brief for 2026-09-14 · Slowing decline

AI-assisted metabolomic profiling identifies candidate metabolites associated with diabetic kidney disease staging in a Korean cohort

Key takeaways

Researchers in Korea used computer analysis to scan blood chemicals and find ones that line up with how far diabetic kidney disease has progressed. Diabetic kidney disease is kidney damage caused by long term high blood sugar, and it is the most common reason people reach kidney failure. The chemicals found here match up with disease stage, which is a link and not proof that they drive the damage. These are candidate markers that still need testing in other groups of patients before anyone's care changes.

Who did this work

Inha Jung (Korea University) · Sungjin Park (Korea University) · Moongi Ji (Sunchon National University) · So‐Young Park (Korea University) · Da Young Lee (Gachon University) · Da Young Lee (Gachon University) · Ji Hee Yu (Korea University) · Ji A. Seo (Korea University) · Man‐Jeong Paik (Sunchon National University) · Hyeong Kyu Park (Soonchunhyang University Hospital Seoul) · Soon Hyo Kwon (Soonchunhyang University Hospital Seoul) · Dae Ho Lee (Gachon University)

Source

Paper · OpenAlex, Kidney disease concept sweep (verified C2778653478) · 2026-09-12
https://doi.org/10.1016/j.isci.2026.117506