Evidence map›Paper›PMID 41376268›Full record

ArticleAutophagy2026

ESRRA-ATG5-Mediated mitophagy enhances arginine metabolism to alleviate diabetic kidney disease.

Hongtu Hu, Qian Yang, Jijia Hu, Yanqing Fan, Zongwei Zhang, Keju Yang, Weiwei Li, Zhuan Peng, Zhaowei Chen, Guohua Ding and 1 more

Abstract read
In one paragraph

Article in Autophagy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 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

11 authors.

Hongtu HuDivision of Nephrology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Qian YangDivision of Nephrology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Jijia HuDivision of Nephrology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Yanqing FanDivision of Nephrology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Zongwei ZhangDivision of Nephrology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Keju YangDivision of Nephrology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Weiwei LiDivision of Nephrology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Zhuan PengDivision of Nephrology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Zhaowei ChenDivision of Nephrology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Guohua DingDivision of Nephrology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Wei LiangDivision of Nephrology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic kidney disease (DKD) is increasingly recognized as a consequence of impaired mitochondrial quality control in renal tubular epithelial cells (TECs). In this study we show that the nuclear receptor ESRRA (estrogen related receptor alpha) transcriptionally activates ATG5 (autophagy related 5) to sustain PINK1 (PTEN induced kinase 1)-dependent mitophagy and preserve tubular homeostasis. ESRRA and ATG5 expression were markedly reduced in human DKD biopsies, and their abundance correlated positively with estimated glomerular filtration rate and inversely with albuminuria. Conditional deletion of

Indexed as

ArginineAutophagy-Related Protein 5Diabetic NephropathiesMitophagyAnimalsERRalpha Estrogen-Related ReceptorHumansKidney TubulesMaleMiceMice, Inbred C57BLMitochondriaProtein KinasesArginineATG5 protein, humanAtg5 protein, mouseAutophagy-Related Protein 5ERRalpha Estrogen-Related ReceptorProtein KinasesArginine metabolismATG5diabetic kidney diseaseESRRAmitophagysalvianolic acid C

Identifiers

PMID41376268
PMCPMC13020871

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.