Evidence map›Paper›PMID 42186424›Full record

ArticleRenal failure2026

Bufalin post-transcriptionally suppresses STAT3 to alleviate renal ferroptosis and tubulointerstitial fibrosis in diabetic kidney disease.

Yunyang Qiao, Chen Gao, Jialing Ji, Zuolin Li, Huimin Shi, Ruilian Yan, Jiayue Sun, Yueyi Wang, Qiang Lin, Aiqing Zhang

Abstract read
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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.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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.

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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.

Yunyang QiaoDepartment of Pediatrics, the Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.ORCID 0000-0001-7189-3166
Chen GaoDepartment of Pediatrics, the Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Jialing JiDepartment of Pediatrics, the Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Zuolin LiInstitute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, Jiangsu, China.
Huimin ShiDepartment of Pediatric Nephrology, the Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Ruilian YanDepartment of Pediatrics, the Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Jiayue SunDepartment of Pediatrics, the Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yueyi WangThe Second Clinical Medical School, Nanjing Medical University, Nanjing, Jiangsu, China.
Qiang LinDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Aiqing ZhangDepartment of Pediatrics, the Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.ORCID 0000-0001-5359-8657

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathological hallmark of diabetic kidney disease (DKD) is tubulointerstitial fibrosis (TIF), which arises from extracellular matrix (ECM) synthesis in renal tubular epithelial cells (RTECs). Bufalin has the potential in delaying the progression of kidney disease, and ferroptosis plays a critical role in this regulatory process. In this study, we investigated the effects of bufalin on DKD models by analyzing the expression of TIF and ferroptosis-related markers and evaluating the impact of ferrostatin-1 (Fer-1) on TIF. Our findings revealed that the treatment of bufalin in

Indexed as

BufanolidesDiabetic NephropathiesFerroptosisSTAT3 Transcription FactorAnimalsCyclohexylaminesDisease Models, AnimalEpithelial CellsFibrosisKidney TubulesMaleMiceMice, Inbred C57BLPhenylenediaminesbufalinBufanolidesCyclohexylaminesferrostatin-1PhenylenediaminesStat3 protein, mouseSTAT3 Transcription FactorbufalinDiabetic kidney diseaseferroptosissignal transducer and activator of transcription 3tubulointerstitial fibrosis

Identifiers

PMID42186424
PMCPMC13215403

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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.