Evidence map›Paper›PMID 40212808›Full record

ArticleFASEB bioAdvances2025

Network expression analysis identifies and experimentally validates the involvement of Fosb in acute kidney injury.

Xiaoyan Tang, Changqiong Shen, Chunqiu Liu, Jianya Gao

Abstract read
In one paragraph

Article in FASEB bioAdvances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xiaoyan TangDepartment of Nephrology Chongqing University Three Gorges Hospital Chongqing China.ORCID https://orcid.org/0009-0003-5325-6122
Changqiong ShenDepartment of Radiology Affiliated Hospital of Chongqing Three Gorges Medical College Chongqing China.ORCID https://orcid.org/0009-0009-0371-0917
Chunqiu LiuDepartment of Nephrology Chongqing University Three Gorges Hospital Chongqing China.ORCID https://orcid.org/0009-0007-2382-4626
Jianya GaoDepartment of Nephrology Chongqing University Three Gorges Hospital Chongqing China.ORCID https://orcid.org/0009-0008-4495-9578

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is a complex clinical syndrome associated with increased incidence and mortality rates among critically ill patients, often leading to multiple organ dysfunction, which underscores the need to better understand its molecular mechanisms. In this study, common differentially expressed genes (DEGs) between various AKI models and control groups were extracted using the Gene Expression Omnibus (GEO) database, followed by an exploration of potential signaling pathways involved in AKI. Key genes in the development of AKI were identified through Weighted Gene Co-expression Network Analysis (WGCNA) and protein-protein interaction (PPI) networks, and the expression of hub genes was validated using quantitative PCR (qPCR), Western blotting, immunohistochemistry (IHC) and flow cytometry. A total of 1265 DEGs significantly associated with AKI were identified, with GO and KEGG analyses revealing significant enrichment in pathways related to kidney development, muscle regulation, and amino acid biosynthesis. WGCNA further screened AKI-related modules, identifying 290 DEGs significantly linked to the disease state. PPI network analysis revealed Fosb as a significantly upregulated hub gene in AKI, with experimental validation demonstrating its substantial upregulation in patients with acute tubular necrosis (ATN), HR-induced HK-2 cells injury and ischemia-reperfusion injury (IRI) mice. Inhibition of Fosb alleviated hypoxia-reoxygenation (HR)-induced apoptosis and inflammation in HK-2 cells by suppressing the AP-1 complex (Fosb/C-Jun) signaling pathway. Therefore, Fosb is significantly upregulated in AKI and associated with inflammation mediated by the AP-1 signaling pathway, suggesting its potential as a diagnostic biomarker and therapeutic target for AKI.

Indexed as

AKIAP‐1apoptosisFosbinflammation

Identifiers

PMID40212808
PMCPMC11980807

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.