Evidence map›Paper›PMID 41808326›Full record

ArticleRenal failure2026

Transcriptome and weighted gene co-expression network analysis identify hub genes and pathways in rat kidneys after deep hypothermic circulatory arrest.

Lei Wang, Ziyan Lin, Yuzuo Lin, Qingtong Wu, Guodong Zhong, Liangwan Chen

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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.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lei WangDepartment of Cardiovascular Surgery, Fujian Medical University Union Hospital, Fuzhou, China.ORCID 0000-0002-4001-6387
Ziyan LinUnion College of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Yuzuo LinUnion College of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Qingtong WuUnion College of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Guodong ZhongDepartment of Pathology, Fujian Province Second People's Hospital: The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China.ORCID 0000-0002-0942-4497
Liangwan ChenDepartment of Cardiovascular Surgery, Fujian Medical University Union Hospital, Fuzhou, China.ORCID 0000-0002-8317-7412

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is a frequent and severe complication following aortic dissection repair surgery that utilizes deep hypothermic circulatory arrest (DHCA). This study aimed to identify key hub genes and elucidate the molecular pathways involved in DHCA-associated AKI (DHCA-AKI).

methodsA rat model of DHCA was established, and kidney tissues were harvested for high-throughput transcriptome sequencing. Differentially expressed genes (DEGs) between DHCA and control groups were identified using three independent analytical methods (DESeq2, limma, edgeR). Hub genes were subsequently screened by integrating weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis. The iRegulon plugin was used to predict upstream regulators. Kidney function markers and the expression levels of identified hub genes were experimentally validated.

resultsWe identified 154 significant DEGs (80 up- and 74 down-regulated) and 209 key module genes

conclusionDHCA markedly alters the transcriptional landscape in rat kidney tissues. Hub genes and pathways related to inflammation and apoptosis may constitute central pathogenic mechanisms and represent promising therapeutic targets for DHCA-AKI.

Indexed as

Acute Kidney InjuryCirculatory Arrest, Deep Hypothermia InducedGene Regulatory NetworksKidneyTranscriptomeAnimalsDisease Models, AnimalGene Expression ProfilingMaleProtein Interaction MapsRatsRats, Sprague-Dawleyacute kidney injurydeep hypothermic circulatory arresthub genesTranscriptome profilingweighted gene co-expression network analysis

Identifiers

PMID41808326
PMCPMC12981254

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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.