FGA Serves as a Potential Diagnostic Marker and Therapeutic Target for Elderly Acute Kidney Injury.

To identify potential biomarkers and explore the underlying mechanisms of elderly acute kidney injury (e-AKI), we performed integrative plasma proteomics analysis on samples from 20 e-AKI patients and 20 age-matched non-AKI controls. Differential expression gene analysis, GSEA, WGCNA, random forest, and LASSO models were employed to identify hub genes, coupled with immune cell infiltration and clinicopathological correlation analyses. A renal ischemia-reperfusion injury mouse model validated key genes at protein and mRNA levels, while in vitro experiments explored the pathway involvement. We identified 229 e-AKI-associated genes enriched in immune, inflammatory, and coagulation pathways. Machine learning combined with the Nephroseq database yielded three hub genes; in vivo and in vitro experiments confirmed fibrinogen alpha chain (FGA) as the most relevant gene, which may regulate e-AKI progression via the cAMP/PKA/CREB pathway. Collectively, FGA holds promise as a diagnostic biomarker and therapeutic target for e-AKI, laying the theoretical foundation for its mechanistic research.

• Publication year

  2026

• Venue

  Journal of Proteome Research

• Publication date

  2026-01-09

• Fields of study

  Medicine

• Identifiers
  DOI 10.1021/acs.jproteome.5c00826PMID 41512179PMCID PMC12889220
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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