Evidence map›Paper›PMID 28117405›Full record

ArticleScientific reports2017

Biological Membrane-Packed Mesenchymal Stem Cells Treat Acute Kidney Disease by Ameliorating Mitochondrial-Related Apoptosis.

Xiaodong Geng, Quan Hong, Weiwei Wang, Wei Zheng, Ou Li, Guangyan Cai, Xiangmei Chen, Di Wu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.7field-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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

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  17. Stem cell-based treatment of kidney diseases.Experimental biology and medicine (Maywood, N.J.) · 2020
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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 3 institutions in 1 country.

Xiaodong GengDepartment of Nephrology, PLA General Hospital, Institute of Nephrology, Beijing Key Laboratory of Kidney Disease, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, 28 Fuxing Road, Beijing 100853, China.
Quan HongDepartment of Nephrology, PLA General Hospital, Institute of Nephrology, Beijing Key Laboratory of Kidney Disease, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, 28 Fuxing Road, Beijing 100853, China.
Weiwei WangDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuai Fu Yuan, Eastern District, Beijing 100730, China.
Wei ZhengDepartment of Nephrology, PLA General Hospital, Institute of Nephrology, Beijing Key Laboratory of Kidney Disease, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, 28 Fuxing Road, Beijing 100853, China.
Ou LiDepartment of Nephrology, PLA General Hospital, Institute of Nephrology, Beijing Key Laboratory of Kidney Disease, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, 28 Fuxing Road, Beijing 100853, China.
Guangyan CaiDepartment of Nephrology, PLA General Hospital, Institute of Nephrology, Beijing Key Laboratory of Kidney Disease, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, 28 Fuxing Road, Beijing 100853, China.
Xiangmei ChenDepartment of Nephrology, PLA General Hospital, Institute of Nephrology, Beijing Key Laboratory of Kidney Disease, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, 28 Fuxing Road, Beijing 100853, China.
Di WuDepartment of Nephrology, PLA General Hospital, Institute of Nephrology, Beijing Key Laboratory of Kidney Disease, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, 28 Fuxing Road, Beijing 100853, China.
State Key Laboratory of Kidney DiseasesChinese PLA General Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mortality of rhabdomyolysis-induced AKI remains high because no effective therapy exists. We investigated a new therapeutic method using MSCs. The aim of this study was to investigate the therapeutic potential and anti-apoptotic mechanisms of action of MSCs in the treatment of AKI induced by glycerol in vivo and in vitro. We used Duragen as a biological membrane to pack MSCs on the glycerol-injured renal tissue in vivo. The anti-apoptotic mechanism was investigated. In vitro, HK-2 cells were incubated with ferrous myoglobin and MSCs-conditioned medium, followed by cell proliferation and apoptosis assays. We founded that packing MSCs on the injured renal tissue preserved renal function, ameliorated renal tubular lesions, and reduced apoptosis in the mice with glycerol-induced AKI. The MSC-conditioned medium improved HK-2 cell viability and inhibited apoptosis. These effects were reversed by the PI3K inhibitor LY294002. Biological membrane packing of MSCs on the renal tissue has a therapeutic rescue function by inhibiting cell apoptosis in vivo. MSCs protect renal cells from apoptosis induced by myoglobin in vitro. We have thus demonstrated MSCs reduced rhabdomyolysis-associated renal injury and cell apoptosis by activating the PI3K/Akt pathway and inhibiting apoptosis.

Indexed as

ApoptosisAcute Kidney InjuryAnimalsCadherinsCell- and Tissue-Based TherapyCell LineCell MembraneCell SurvivalGlycerolHumansMaleMesenchymal Stem CellsMice, Inbred C57BLMitochondriaRhabdomyolysisCadherinsCdh1 protein, mouseGlycerol

Identifiers

PMID28117405
PMCPMC5259718
OpenAlexW2580731056

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.