Evidence map›Paper›PMID 33664736›Full record

ArticleFrontiers in immunology2020

Bone Marrow Mesenchymal Stem Cells Ameliorate Cisplatin-Induced Renal Fibrosis

Lei Wu, Chao Rong, Qing Zhou, Xin Zhao, Xue-Mei Zhuansun, Shan Wan, Mao-Min Sun, Shou-Li Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 31 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

8 authors at 2 institutions in 1 country.

Lei WuDepartment of Pathology, School of Biology & Basic Medical Sciences, Soochow University, Suzhou, China.
Chao RongDepartment of Pathology, School of Biology & Basic Medical Sciences, Soochow University, Suzhou, China.
Qing ZhouDepartment of General Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Xin ZhaoDepartment of Pathology, School of Biology & Basic Medical Sciences, Soochow University, Suzhou, China.
Xue-Mei ZhuansunLaboratory Animal Research Center, Medical College of Soochow University, Suzhou, China.
Shan WanDepartment of Pathology, School of Biology & Basic Medical Sciences, Soochow University, Suzhou, China.
Mao-Min SunLaboratory Animal Research Center, Medical College of Soochow University, Suzhou, China.
Shou-Li WangDepartment of Pathology, School of Biology & Basic Medical Sciences, Soochow University, Suzhou, China.
Soochow University · CNJiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesenchymal stem cells (MSCs) have regenerative properties in acute kidney injury (AKI). However, the potential function of MSCs in chronic kidney disease remains elusive. Renal fibrosis is the common endpoint of chronic progressive kidney diseases and causes a considerable health burden worldwide. In this study, the protective effects of bone marrow mesenchymal stem cells (BM-MSCs) were assessed in repeated administration of low-dose cisplatin-induced renal fibrosis mouse model

Indexed as

Kidney DiseasesMesenchymal Stem Cell TransplantationAnimalsBone Marrow CellsCisplatinDNA-Binding ProteinsEpithelial CellsFibrosisKidney TubulesMaleMesenchymal Stem CellsMiceMicroRNAsSignal TransductionTranscription FactorsCisplatinDNA-Binding ProteinsMicroRNAsMirn146 microRNA, mouseTfdp2 protein, mouseTranscription Factorsbone marrow mesenchymal stem cellsmicroRNArenal fibrosisrenal tubular epithelial cellsTGF-β1

Identifiers

PMID33664736
PMCPMC7921314
OpenAlexW3133308602

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.