Evidence map›Paper›PMID 36590679›Full record

ReviewKidney diseases (Basel, Switzerland)2022

Histone Modifications in Acute Kidney Injury.

Jun Wang, Fengchen Shen, Feng Liu, Shougang Zhuang

Open access · goldAbstract readReview
In one paragraph

Review in Kidney diseases (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Jun WangDepartment of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Fengchen ShenDepartment of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Feng LiuDepartment of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Shougang ZhuangDepartment of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Shanghai East Hospital · CNBrown University · US

Funding

Role of Histone Methyltransferase EZH2 in Acute and Chronic Renal InjuryR01DK113256 · NIDDK · RHODE ISLAND HOSPITAL · PI ZHUANG, SHOUGANG · 2018 to 2021
$1.5M
NIDDK NIH HHS R01 DK113256
6 · The paper itself

Abstract

Background: Acute kidney injury (AKI) is a serious clinical problem associated with high morbidity and mortality worldwide. The pathophysiology and pathogenesis of AKI is complex and multifactorial. In recent years, epigenetics has emerged as an important regulatory mechanism in AKI. Summary: There are several types of histone modification, including methylation, acetylation, phosphorylation, crotonylation, citrullination, and sumoylation. Histone modifications are associated with the transcription of many genes and activation of multiple signaling pathways that contribute to the pathogenesis of AKI. Thus, targeting histone modification may offer novel strategies to protect kidneys from AKI and enhance kidney repair and recovery. In this review, we summarize recent advances on the modification, regulation, and implication of histone modifications in AKI. Key Messages: Histone modifications contribute to the pathogenesis of AKI. Understanding of epigenetic regulation in AKI will aid in establishing the utility of pharmacologic targeting of histone modification as a potential novel therapy for AKI.

Indexed as

AcetylationAcute kidney injuryCitrullinationCrotonylationHistone modificationsMethylationPhosphorylationSumoylation

Identifiers

PMID36590679
PMCPMC9798838
OpenAlexW4308882397

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.