Evidence map›Paper›PMID 36547094›Full record

ReviewCurrent issues in molecular biology2022

Application and Molecular Mechanisms of Extracellular Vesicles Derived from Mesenchymal Stem Cells in Osteoporosis.

Yajing Yang, Lei Yuan, Hong Cao, Jianmin Guo, Xuchang Zhou, Zhipeng Zeng

Open access · goldAbstract readReview
In one paragraph

Review in Current issues in molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 13 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

6 authors at 3 institutions in 1 country.

Yajing YangSchool of Sport Medicine and Rehabilitation, Beijing Sport University, Beijing 100084, China.
Lei YuanSchool of Sport Medicine and Rehabilitation, Beijing Sport University, Beijing 100084, China.ORCID 0000-0003-2843-0232
Hong CaoSchool of Kinesiology, Shanghai University of Sport, Shanghai 200438, China.ORCID 0000-0002-8618-4896
Jianmin GuoSchool of Kinesiology, Shanghai University of Sport, Shanghai 200438, China.
Xuchang ZhouSchool of Sport Medicine and Rehabilitation, Beijing Sport University, Beijing 100084, China.ORCID 0000-0003-1390-7659
Zhipeng ZengSchool of Sport Medicine and Rehabilitation, Beijing Sport University, Beijing 100084, China.
Shanghai University of Sport · CNBeijing Sport University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis (OP) is a chronic bone disease characterized by decreased bone mass, destroyed bone microstructure, and increased bone fragility. Accumulative evidence shows that extracellular vesicles (EVs) derived from mesenchymal stem cells (MSCs) (MSC-EVs), especially exosomes (Exos), exhibit great potential in the treatment of OP. However, the research on MSC-EVs in the treatment of OP is still in the initial stage. The potential mechanism has not been fully clarified. Therefore, by reviewing the relevant literature of MSC-EVs and OP in recent years, we summarized the latest application of bone targeted MSC-EVs in the treatment of OP and further elaborated the potential mechanism of MSC-EVs in regulating bone formation, bone resorption, bone angiogenesis, and immune regulation through internal bioactive molecules to alleviate OP, providing a theoretical basis for the related research of MSC-EVs in the treatment of OP.

Indexed as

exosomesextracellular vesiclesmesenchymal stem cellsmiRNAsosteoporosis

Identifiers

PMID36547094
PMCPMC9776574
OpenAlexW4312128969

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.