Evidence map›Paper›PMID 37916309›Full record

ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2023

Mechanism of transforming growth factor-

Huanan Li, Peifen Li, Shanyi Li, Xueying Zhang, Xinru Dong, Ming Yang, Weigan Shen

Open access · diamondAbstract read
In one paragraph

Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 80% 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

3 citing papers in PubMed, 0 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Huanan LiDepartment of Cell Biology, School of Medicine, Yangzhou University, Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou 225009, Jiangsu Province, China. hnli@yzu.edu.cn.
Peifen LiDepartment of Cell Biology, School of Medicine, Yangzhou University, Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou 225009, Jiangsu Province, China.
Shanyi LiDepartment of Cell Biology, School of Medicine, Yangzhou University, Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou 225009, Jiangsu Province, China.
Xueying ZhangDepartment of Cell Biology, School of Medicine, Yangzhou University, Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou 225009, Jiangsu Province, China.
Xinru DongDepartment of Cell Biology, School of Medicine, Yangzhou University, Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou 225009, Jiangsu Province, China.
Ming YangDepartment of Nephrology, Affiliated Hospital of Yangzhou University, Yangzhou 225009, Jiangsu Province, China.
Weigan ShenDepartment of Cell Biology, School of Medicine, Yangzhou University, Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou 225009, Jiangsu Province, China. shenweigan@hotmail.com.
Yangzhou University · CNNorthern Jiangsu People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the mechanism of transforming growth factor-β1 (TGF-β1) induce renal fibrosis.

methodsRenal fibroblast NRK-49F cells treated with and without TGF-β1 were subjected to RNA-seq analysis. DESeq2 was used for analysis. Differentially expressed genes were screened with the criteria of false discovery rate<0.05 and l o g 2 F C >1. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed for differentially expressed genes. Genes encoding transcription factors were further screened for differential expression genes. Then, the expression of these genes during renal fibrosis was verified using unilateral ureteral obstruction (UUO)-induced mouse renal fibrosis model and a public gene expression dataset (GSE104954).

resultsAfter TGF-β1 treatment for 6, 12 and 24 h, 552, 1209 and 1028 differentially expressed genes were identified, respectively. GO analysis indicated that these genes were significantly enriched in development, cell death, and cell migration. KEGG pathway analysis showed that in the early stage of TGF-β1 induction (TGF-β1 treatment for 6 h), the changes in Hippo, TGF-β and Wnt signaling pathways were observed, while in the late stage of TGF-β1 induction (TGF-β1 treatment for 24 h), the changes of extracellular matrix-receptor interaction, focal adhesion and adherens junction were mainly enriched. Among the 291 up-regulated differentially expressed genes treated with TGF-β1 for 6 h, 13 genes (

conclusionsTGF-β1 induces differentially expressed genes in renal fibroblasts, among which

Indexed as

Diabetic NephropathiesUreteral ObstructionAnimalsDNA-Binding ProteinsFibrosisHumansInterferon Regulatory FactorsKidneyMiceSignal TransductionTranscription FactorsTranscriptomeTransforming Growth Factor betaTransforming Growth Factor beta1Arid5a protein, mouseDNA-Binding ProteinsGlis1 protein, mouseInterferon Regulatory FactorsTranscription FactorsTransforming Growth Factor betaTransforming Growth Factor beta1FibroblastsMechanismMiceRenal fibrosisTranscriptomeTransforming growth factor-β1

Identifiers

PMID37916309
PMCPMC10630056
OpenAlexW4387078834

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LicenceCC BY-NC-ND
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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.