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.

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Publication Details

Journal
Journal of Proteome Research
Published
2026-01-09
DOI
https://doi.org/10.1021/acs.jproteome.5c00826
Primary Topic
Acute Kidney Injury Research
Type
article
Field-Weighted Citation Impact
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article

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

Pengcheng Luo, Xiao Jun Wei, Qihui Kuang, Yuan Yuan et al.
Journal of Proteome Research
Acute Kidney Injury Research
article

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

Pengcheng Luo, Xiao Jun Wei, Qihui Kuang, Yuan Yuan, Xiong Wang, Lingwen Xu, Hong Yu, Jiacen Dai, Fang Dong, Shuping Deng
article en

Abstract

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.

Journal of Proteome ResearchVol. 25(2)
Tongren Hospital (CN), Panyu District Central Hospital (CN), Wuhan Third Hospital (CN)
Good health and well-being
Openalex Percentile: Top 93%
Acute Kidney Injury Research
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