Evidence map›Paper›PMID 42315974›Full record

ArticleRenal failure2026

A four-gene signature for diagnosis of acute kidney injury following kidney transplantation.

Jinghan Feng, Xinni Zhang, Jiayi Liu, Qian Sun, Fangyuan Peng, Ting Ren, Zhouping Zou, Qin Liu, Xiaoqiang Ding, Ping Jia

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Renal failure, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Jinghan FengDivision of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xinni ZhangDivision of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Jiayi LiuDivision of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Qian SunDivision of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Fangyuan PengDivision of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Ting RenDivision of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhouping ZouDivision of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Qin LiuDivision of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaoqiang DingDivision of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Ping JiaDivision of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is a common and severe complication following renal transplantation, largely driven by ischemia-reperfusion injury (IRI). However, reliable biomarkers for post-transplant AKI remain unavailable. In this study, we analyzed transcriptomic datasets from multiple cohorts to identify robust gene signatures associated with transplant-related AKI. Weighted gene co-expression network and differential expression analyses in the discovery cohort revealed 222 candidate genes altered during early allograft IRI, which were subsequently refined in an integrated training cohort using least absolute shrinkage and selection operator (LASSO) regression and support vector machine-recursive feature elimination (SVM-RFE) to a four-gene signature comprising

Indexed as

Acute Kidney InjuryKidney TransplantationPostoperative ComplicationsReperfusion InjuryAnimalsBiomarkersFemaleGene Expression ProfilingGenes, mycHumansKidneyMaleMiceRepressor ProteinsSupport Vector MachineSuppressor of Cytokine Signaling 3 ProteinBiomarkersRepressor ProteinsSOCS3 protein, humanSuppressor of Cytokine Signaling 3 ProteinAcute kidney injurygene signaturemachine learningrenal transplantation

Identifiers

PMID42315974
PMCPMC13288727

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.