Evidence map›Paper›PMID 27339383›Full record

ReviewSeminars in nephrology2016

Autophagy and Tubular Cell Death in the Kidney.

Andrea Havasi, Zheng Dong

Abstract readReview
In one paragraph

Review in Seminars in nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

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  10. MicroRNA-483-5p accentuates cisplatin-induced acute kidney injury by targeting GPX3.Laboratory investigation; a journal of technical methods and pathology · 2022
    Article
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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

2 authors.

Andrea HavasiDepartment of Nephrology, Boston University Medical Center, Boston, MA. Electronic address: ahavasi@bu.edu.
Zheng DongDepartment of Nephrology, Second Xiangya Hospital of Central South University, Changsha, China; Department of Cellular Biology and Anatomy, Medical College of Georgia and Charlie Norwood VA Medical Center, Augusta, GA.

Funding

DNA methylation in kidney repair after ischemic AKIR01DK058831 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI DONG, ZHENG · 2001 to 2025
$7.5M
Kidney Injury by Cisplatin and Renoprotective Strategies.R01DK087843 · NIDDK · AUGUSTA UNIVERSITY · PI DONG, ZHENG · 2010 to 2025
$5.8M
Proteinuria causes progressive kidney disease by impairing autophagyK08DK090143 · NIDDK · BOSTON MEDICAL CENTER · PI HAVASI, ANDREA · 2011 to 2015
$746k
Molecular Regulation of Ischemic Renal FailureI01BX000319 · VA · CHARLIE NORWOOD VA MEDICAL CENTER · PI Zheng Dong · 2009 to 2026
–
BLRD VA I01 BX000319NIDDK NIH HHS K08 DK090143NIDDK NIH HHS R01 DK058831NIDDK NIH HHS R01 DK087843
6 · The paper itself

Abstract

Many common renal insults such as ischemia and toxic injury primarily target the tubular epithelial cells, especially the highly metabolically active proximal tubular segment. Tubular epithelial cells are particularly dependent on autophagy to maintain homeostasis and respond to stressors. The pattern of autophagy in the kidney has a unique spatial and chronologic signature. Recent evidence has shown that there is complex cross-talk between autophagy and various cell death pathways. This review specifically discusses the interplay between autophagy and cell death in the renal tubular epithelia. It is imperative to review this topic because recent discoveries have improved our mechanistic understanding of the autophagic process and have highlighted its broad clinical applications, making autophagy a major target for drug development.

Indexed as

ApoptosisAutophagyAcute Kidney InjuryHumansKidney TubulesReperfusion Injuryapoptosisautophagycell deathrenal tubule

Identifiers

PMID27339383
PMCPMC4920968

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.