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← brief for 2026-09-16 · Slowing decline

Multi-omics and machine learning reveal LYZ and ISG15 as diagnostic and therapeutic targets in autoimmune-mediated chronic kidney disease.

Article D Peer reviewed Preclinical

Key takeaways

Researchers ran computer analyses of gene activity data, including single-cell data, and used machine learning. They were looking for genes that drive kidney disease caused by the immune system attacking the body. They named two genes, LYZ and ISG15, as possible early warning signs and possible drug targets. This is lab and computer work, not tested in people yet. No treatment or test built on these genes exists.

Who did this work

Zheng H · Dong J · Dai Q · Zhou W · He K · Chen Z · Luo Z · Sun Q

Source

Article · PubMed, CKD progression · 2026 Sep 1
https://pubmed.ncbi.nlm.nih.gov/42746275/