← brief for 2026-08-26 · Slowing decline

Integrated Adverse Outcome Pathway and Machine Learning Reveal the Mode of Action and Biomarkers of Lithium-Induced Risk of Chronic Kidney Disease

Key takeaways

Lithium, a long-used mood-stabilizing drug, is known to damage kidneys over years. This work combined lab pathway modeling with machine learning to map how that damage happens and to propose blood or urine markers that could flag it early. The findings come from cell and computer models, not from patients yet. If the markers hold up in people, they could catch lithium kidney injury before scarring sets in.

Who did this work

Yican Wang (The People's Hospital of Guangxi Zhuang Autonomous Region) · Guoqing Xiong (Chinese Center For Disease Control and Prevention) · Xiaofei Li (Guilin Medical University) · Xingyu Zhan (Chinese Center For Disease Control and Prevention) · Yufei Dai (Chinese Center For Disease Control and Prevention)

Source

Paper · OpenAlex, CKD works · 2026-08-19
https://doi.org/10.1021/envhealth.6c00409