Evidence map›Paper›PMID 34753319›Full record

ArticleOpen biology2021

Regulation of transforming growth factor-β signalling by SUMOylation and its role in fibrosis.

Xinyi Wang, Ting Liu, Yifei Huang, Yifeng Dai, Hui Lin

Open access · goldAbstract read
In one paragraph

Article in Open biology, 2021. 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
0.6field-weighted citation impact, top 35% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. BMJ open gastroenterology · 2026
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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

5 authors at 1 institution in 1 country.

Xinyi WangFirst Clinical Medical School, Nanchang University, Nanchang 330006, Jiangxi Province, People's Republic of China.
Ting LiuDepartment of Pathophysiology, School of Basic Medical Sciences, Nanchang University, Nanchang 330006, Jiangxi Province, People's Republic of China.
Yifei HuangFirst Clinical Medical School, Nanchang University, Nanchang 330006, Jiangxi Province, People's Republic of China.
Yifeng DaiSecond Clinical Medical School, Nanchang University, Nanchang 330006, Jiangxi Province, People's Republic of China.
Hui LinDepartment of Pathophysiology, School of Basic Medical Sciences, Nanchang University, Nanchang 330006, Jiangxi Province, People's Republic of China.ORCID 0000-0003-0343-1757
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibrosis is an abnormal healing process that only repairs the structure of an organ after injury and does not address damaged functions. The pathogenesis of fibrosis is multifactorial and highly complex; numerous signalling pathways are involved in this process, with the transforming growth factor-β (TGF-β) signalling pathway playing a central role. TGF-β regulates the generation of myofibroblasts and the epithelial-mesenchymal transition by regulating transcription and translation of downstream genes and precisely regulating fibrogenesis. The TGF-β signalling pathway can be modulated by various post-translational modifications, of which SUMOylation has been shown to play a key role. In this review, we focus on the function of SUMOylation in canonical and non-canonical TGF-β signalling and its role in fibrosis, providing promising therapeutic strategies for fibrosis.

Indexed as

AnimalsEpithelial-Mesenchymal TransitionFibrosisGene Expression RegulationHumansMyofibroblastsProtein Processing, Post-TranslationalSignal TransductionSumoylationTransforming Growth Factor betaTransforming Growth Factor betafibrosisSUMOylationtransforming growth factor-β

Identifiers

PMID34753319
PMCPMC8580444
OpenAlexW3213869762

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.