Evidence map›Paper›PMID 42115354›Full record

ReviewNature reviews. Nephrology2026

Selective autophagy in kidney health and disease.

Ying Fu, Man J Livingston, Guie Dong, Anqun Chen, Juan Cai, Zheng Dong

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

6 authors.

Ying FuDepartment of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital at Central South University, Changsha, Hunan, China.
Man J LivingstonDepartment of Cellular Biology and Anatomy, Medical College of Georgia at Augusta University and Charlie Norwood VA Medical Center, Augusta, GA, USA.ORCID 0000-0001-8638-0902
Guie DongDepartment of Cellular Biology and Anatomy, Medical College of Georgia at Augusta University and Charlie Norwood VA Medical Center, Augusta, GA, USA.
Anqun ChenDepartment of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital at Central South University, Changsha, Hunan, China.
Juan CaiDepartment of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital at Central South University, Changsha, Hunan, China.
Zheng DongDepartment of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital at Central South University, Changsha, Hunan, China. zdong@augusta.edu.ORCID 0000-0003-3538-8095

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The kidney is a highly metabolically active organ that relies on tightly regulated organelle turnover to maintain cellular homeostasis and support its energetic demands. Autophagy, once viewed primarily as a non-selective degradation mechanism, is now recognized to encompass specialized pathways - including mitophagy, lipophagy and endoplasmic reticulum-phagy - that mediate cargo-specific quality control of subcellular organelles. These selective programmes form an integrated network that couples stress- and nutrient-sensing regulators with core autophagy machinery and lysosomal capacity, generating cell-type- and context-dependent outputs across distinct nephron segments. Selective autophagy is a central determinant of renal stress adaptation, repair and disease progression. In acute kidney injury, in transition from acute kidney disease to chronic kidney disease and in diabetic kidney disease, selective autophagy preserves organelle homeostasis; however, insufficient, excessive or mistimed autophagic flux drives tubular injury, immune remodelling and fibrosis. Lysophagy, Golgiphagy and nucleophagy are emerging pathways of selective autophagy that might also contribute to the renal stress-response network. Therapeutic strategies that target selective autophagy in the kidney will require carefully timed and precise cell-specific modulation, as well as biomarker-guided patient stratification, to improve efficacy and avoid adverse effects.

Indexed as

AutophagyKidneyKidney DiseasesAnimalsDiabetic NephropathiesHomeostasisHumans

Identifiers

What OpenQuestion holds

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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.