Evidence map›Paper›PMID 42030280›Full record

ArticlePloS one2026

Reappraisal of profibrotic phenotype and cell-cycle state of renal tubular epithelium after ischemia-reperfusion injury.

Daichi Fukaya, Wakako Kosakai, Tetsuya Sato, Tsutomu Inoue, Hiroaki Amano, Takeru Kusano, Hirokazu Okada

Abstract read
In one paragraph

Article in PloS one, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Daichi FukayaDepartment of Nephrology, Faculty of Medicine, Saitama Medical University, Saitama, Japan.
Wakako KosakaiDepartment of Nephrology, Faculty of Medicine, Saitama Medical University, Saitama, Japan.ORCID https://orcid.org/0009-0003-8386-441X
Tetsuya SatoFaculty of Medicine, Biomedical Research Center, Saitama Medical University, Saitama, Japan.
Tsutomu InoueDepartment of Nephrology, Faculty of Medicine, Saitama Medical University, Saitama, Japan.
Hiroaki AmanoDepartment of Nephrology, Faculty of Medicine, Saitama Medical University, Saitama, Japan.
Takeru KusanoFaculty of Medicine, General Internal Medicine, Saitama Medical University, Saitama, Japan.
Hirokazu OkadaDepartment of Nephrology, Faculty of Medicine, Saitama Medical University, Saitama, Japan.ORCID https://orcid.org/0000-0002-1839-9078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease progression involves phenotypic changes in tubular epithelial cells, and recent studies have highlighted the relationship between such pro-fibrotic phenotypes and cell cycle arrest in injured tubular epithelial cells undergoing repair. We investigated these processes using a mouse unilateral ischemia-reperfusion injury model with γGT.Fucci2aR mice, which express fluorescent cell cycle markers, and in vitro experiments with human kidney-2 cells and public single-cell RNA sequencing data. In the unilateral ischemia-reperfusion injury model, mVenus-positive cells (S/G2/M phases) in the γGT.Fucci2aR mice peaked on Day 3 post-injury, then rapidly declined. In kidneys with progressive tubular atrophy and interstitial fibrosis between 7-12 days post-injury, S/G2/M phase cells were limited. These findings were corroborated by analysis using public single-cell RNA sequencing data from the same mouse models, which confirmed dynamic cell cycle changes in the acute phase post-injury but no significant G2/M phase cells in the chronic phase. In vitro experiments with human kidney-2 cells demonstrated that cellular communication network factor 2 and transforming growth factor-β expression increased significantly as proliferating cells reached confluence and cell cycle progression slowed. Pro-fibrotic phenotypes in tubular epithelial cells were not exclusively acquired by G2/M-arrested cells, as reported in previous studies, but can also be acquired by cells in the quiescent G0/G1 phase during normal cell cycling. To develop novel therapeutics for chronic kidney disease, regulating pro-fibrotic gene expression in injured tubular epithelial cells, independent of specific cell cycle phases, appears to be crucial.

Indexed as

Cell CycleKidney TubulesReperfusion InjuryAnimalsCell LineCell ProliferationDisease Models, AnimalEpithelial CellsFibrosisHumansMaleMicePhenotype

Identifiers

PMID42030280
PMCPMC13108746

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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.