Evidence map›Paper›PMID 42105097›Full record

ArticleCellular and molecular life sciences : CMLS2026

GATM alleviates sepsis-induced acute kidney injury via PDK4-mediated glycolytic reprogramming in renal tubular epithelial cells.

Ruhao Yang, Niandan Hu, Hairui Chen, Wenqiang Li, Ting Zheng

Abstract read
In one paragraph

Article in Cellular and molecular life sciences : CMLS, 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ruhao Yang *Department of Emergency, Renmin Hospital of Wuhan University, Wuhan, China.
Niandan Hu *Department of Emergency, Renmin Hospital of Wuhan University, Wuhan, China.
Hairui ChenDepartment of Emergency, Renmin Hospital of Wuhan University, Wuhan, China.
Wenqiang Li *Department of Emergency, Renmin Hospital of Wuhan University, Wuhan, China. wenqiangli@whu.edu.cn.
Ting Zheng *Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan, China. 2516029179@qq.com.ORCID http://orcid.org/0000-0003-2138-4528

Funding

Natural Science Foundation of Hubei Province 2020CFB270
6 · The paper itself

Abstract

backgroundThis study aimed to identify a key target gene in proximal tubule cells (PTCs) of sepsis-induced acute kidney injury (S-AKI) and elucidate the underlying mechanisms.

methodsWe screened and analyzed GEO datasets and identified a key gene, GATM, in S-AKI. An S-AKI mouse model was established via intraperitoneal injection of lipopolysaccharide (LPS), and HK-2 cells were used for in vitro experiments. The role of GATM was evaluated using adeno-associated virus (AAV)-mediated overexpression in mice and plasmid-mediated overexpression in HK-2 cells. To identify the downstream target genes of GATM, transcriptome sequencing was conducted. Pathological evaluation was performed using hematoxylin-eosin (HE) and periodic acid-Schiff (PAS) staining. Protein levels were determined by Western blotting (WB), immunohistochemistry (IHC), and immunofluorescence (IF) assays; Apoptosis was evaluated by TUNEL staining; Mitochondrial morphology and function were assessed by transmission electron microscopy (TEM), JC-1 and MitoSOX assays. Lactate concentration and cellular ATP levels were measured.

resultsThrough analysis of four datasets (GSE151658, GSE247727, GSE220812, and GSE139061), GATM was identified as a key gene in PTCs during S-AKI. GATM expression was downregulated in both S-AKI mice and LPS-stimulated HK-2 cells. In vivo, GATM overexpression improved renal function, alleviated tubular damage, decreased the expression of KIM-1, IL-6, Caspase-3, and 4-HNE, and reduced mitochondrial injury. In vitro, HK-2 cell viability was enhanced, TUNEL-positive cells were reduced, and damaged mitochondria were decreased. Transcriptome sequencing revealed that the PDK4-mediated glycolysis pathway was a downstream target of GATM. GATM overexpression downregulated PDK4 expression, reduced glycolytic enzyme levels (p-PDHA, HK2, LDHA, GLUT1) and lactate, and increased ATP production. However, PDK4 overexpression in HK-2 cells abolished the protective effects of GATM, enhanced glycolysis, increased lactate levels, and reduced ATP production.

conclusionGATM plays a protective role in S-AKI by inhibiting PDK4-mediated aerobic glycolysis, enhancing ATP production, and restoring energy metabolism and mitochondrial function in PTCs.

Indexed as

Acute Kidney InjuryEpithelial CellsGlycolysisKidney TubulesPyruvate Dehydrogenase Acetyl-Transferring KinaseSepsisAnimalsApoptosisCell LineDisease Models, AnimalHumansKidney Tubules, ProximalLipopolysaccharidesMaleMiceMice, Inbred C57BLLipopolysaccharidesPyruvate Dehydrogenase Acetyl-Transferring KinaseGATMGlucose metabolismMitochondrial injuryPDK4Sepsis-induced acute kidney injury

Identifiers

PMID42105097
PMCPMC13332097

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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.