Evidence map›Paper›PMID 40529024›Full record

ArticleTranslational andrology and urology2025

Identification of core genes in acute kidney injury: evidence from multi-omics human transcriptomic data and

Pengxiao Sun, Qiting Weng, Jiaxin Zhou, Qingzhou Chen, Rui Zhang, Jing Nie

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Article in Translational andrology and urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Pengxiao Sun *State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Qiting Weng *State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jiaxin ZhouState Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Qingzhou ChenState Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Rui ZhangState Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jing NieState Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute kidney injury (AKI) affects up to 23.2% of hospitalized patients, but its complex pathophysiology hinders diagnosis and treatment. Bioinformatics-driven identification of core genes from large-scale omics data offers a promising approach for uncovering diagnostic and therapeutic targets. This study aims to integrate multi-omics data with experimental validation to identify core genes involved in AKI and explore their mechanisms. Methods: We analyzed renal transcriptomic data from 67 AKI patients and 20 controls, integrating differential expression, weighted gene co-expression network analysis (WGCNA), and clinical correlations to identify key genes. A nomogram model was used to assess diagnostic performance, and immune microenvironment characteristics were analyzed using CIBERSORT. AKI was induced in mice by ischemia-reperfusion and cisplatin, with gene expression validated by reverse transcription real-time quantitative polymerase chain reaction (RT-qPCR), Western blot, and immunohistochemistry. Results: Three core genes, epidermal growth factor ( Conclusions: This study highlights three core genes of AKI, especially

Indexed as

Acute kidney injury (AKI)inflammationmitochondriaSUGCTweighted gene co-expression network analysis (WGCNA)

Identifiers

PMID40529024
PMCPMC12170083

What Socratic holds

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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 Socratic graph.