ArticleRenal failure2025
FAR1 as a ferroptosis-related biomarker and potential therapeutic target in acute kidney injury: integrated bioinformatics and experimental validation.
Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEmerging evidence underscores the critical involvement of ferroptosis in the pathophysiology of AKI. However, the role of ferroptosis-related genes (FRGs) in AKI remains insufficiently explored. This study sought to identify potential FRGs associated with AKI through bioinformatics approaches and experimental validation.
methodsAKI-related datasets and FRGs were first collected. Differentially expressed FRGs linked to AKI were identified through analytical methods, followed by an examination of their biological functions. Diagnostic biomarkers were then selected using LASSO, RFE, and RF algorithms. Additionally, small pharmacological molecules associated with DE-FRGs were identified to explore the connection between DE-FRGs and AKI. qRT-PCR analysis revealed FAR1 expression in AKI, while Western blotting and IHC confirmed corresponding FAR1 protein changes in kidney tissues. TUNEL staining confirmed cell death in AKI. ROS production and ferroptosis markers were evaluated in FAR1-knockdown and FAR1-overexpressing HK-2 cells.
resultsA total of 106 DE-FRGs were identified, with functional enrichment analysis revealing strong associations with the MAPK and mTOR signaling pathways, as well as ferroptosis. Eight diagnostic biomarkers were selected using multiple algorithms, and their predictive accuracy was validated through ROC curve analysis. Furthermore, 13 pharmacological molecules were identified to establish a relationship between DE-FRGs and AKI. AKI renal tissue exhibited elevated cell death and reduced FAR1 expression.
conclusionThis study identified signaling pathways and small molecules associated with DE-FRGs in AKI. FAR1 was also identified as a potential diagnostic biomarker for AKI.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.