Evidence map›Paper›PMID 34335587›Full record

ArticleFrontiers in immunology2021

p53 Deacetylation Alleviates Sepsis-Induced Acute Kidney Injury by Promoting Autophagy.

Maomao Sun, Jiaxin Li, Liangfeng Mao, Jie Wu, Zhiya Deng, Man He, Sheng An, Zhenhua Zeng, Qiaobing Huang, Zhongqing Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 2 pooled it
14.9field-weighted citation impact, top 1% of its field
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

97 citing papers in PubMed, 2 syntheses or guidelines pooled it, 146 citations in OpenAlex.

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  20. Molecular Mechanisms of Sepsis-Associated Acute Kidney Injury.Journal of the American Society of Nephrology : JASN · 2025
    Review

37 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Maomao SunDepartment of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jiaxin LiDepartment of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Liangfeng MaoDepartment of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jie WuDepartment of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zhiya DengDepartment of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Man HeDepartment of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Sheng AnDepartment of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zhenhua ZengDepartment of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Qiaobing HuangDepartment of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zhongqing ChenDepartment of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Nanfang Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have shown that autophagy upregulation can attenuate sepsis-induced acute kidney injury (SAKI). The tumor suppressor p53 has emerged as an autophagy regulator in various forms of acute kidney injury (AKI). Our previous studies showed that p53 acetylation exacerbated hemorrhagic shock-induced AKI and lipopolysaccharide (LPS)-induced endothelial barrier dysfunction. However, the role of p53-regulated autophagy in SAKI has not been examined and requires clarification. In this study, we observed the dynamic changes of autophagy in renal tubular epithelial cells (RTECs) and verified the protective effects of autophagy activation on SAKI. We also examined the changes in the protein expression, intracellular distribution (nuclear and cytoplasmic), and acetylation/deacetylation levels of p53 during SAKI following cecal ligation and puncture (CLP) or LPS treatment in mice and in a LPS-challenged human RTEC cell line (HK-2 cells). After sepsis stimulation, the autophagy levels of RTECs increased temporarily, followed by a sharp decrease. Autophagy inhibition was accompanied by an increased renal tubular injury score. By contrast, autophagy agonists could reduce renal tubular damage following sepsis. Surprisingly, the expression of p53 protein in both the renal cortex and HK-2 cells did not significantly change following sepsis stimulation. However, the translocation of p53 from the nucleus to the cytoplasm increased, and the acetylation of p53 was enhanced. In the mechanistic study, we found that the induction of p53 deacetylation, due to either the resveratrol/quercetin -induced activation of the deacetylase Sirtuin 1 (Sirt1) or the mutation of the acetylated lysine site in p53, promoted RTEC autophagy and alleviated SAKI. In addition, we found that acetylated p53 was easier to bind with Beclin1 and accelerated its ubiquitination-mediated degradation. Our study underscores the importance of deacetylated p53-mediated RTEC autophagy in future SAKI treatments.

Indexed as

AcetylationAcute Kidney InjuryAnimalsAutophagyBeclin-1Cell LineDisease Models, AnimalHumansKidney TubulesLipopolysaccharidesMiceMice, Inbred C57BLSepsisSirtuin 1Survival AnalysisTumor Suppressor Protein p53Beclin-1LipopolysaccharidesSIRT1 protein, humanSirt1 protein, mouseSirtuin 1TP53 protein, humanTrp53 protein, mouseTumor Suppressor Protein p53acute kidney injuryautophagydeacetylationp53sepsis

Identifiers

PMID34335587
PMCPMC8318785
OpenAlexW3177888981

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.