Evidence map›Paper›PMID 34987549›Full record

ArticleFrontiers in genetics2021

Systematic Analysis of mRNAs and ncRNAs in BMSCs of Senile Osteoporosis Patients.

Yiyun Geng, Jinfu Chen, Chongfei Chang, Yifen Zhang, Li Duan, Weimin Zhu, Lisha Mou, Jianyi Xiong, Daping Wang

Abstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

9 authors.

Yiyun GengShenzhen Key Laboratory of Tissue Engineering, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, China.
Jinfu ChenShenzhen Key Laboratory of Tissue Engineering, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, China.
Chongfei ChangShenzhen Key Laboratory of Tissue Engineering, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, China.
Yifen ZhangShenzhen Key Laboratory of Tissue Engineering, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, China.
Li DuanShenzhen Key Laboratory of Tissue Engineering, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, China.
Weimin ZhuShenzhen Key Laboratory of Tissue Engineering, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, China.
Lisha MouShenzhen Key Laboratory of Tissue Engineering, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, China.
Jianyi XiongShenzhen Key Laboratory of Tissue Engineering, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, China.
Daping WangShenzhen Key Laboratory of Tissue Engineering, Shenzhen Second People's Hospital (The First Hospital Affiliated to Shenzhen University), Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Senile osteoporosis (SOP) is a worldwide age-related disease characterized by the loss of bone mass and decrease in bone strength. Bone mesenchymal stem cells (BMSCs) play an important role in the pathology of senile osteoporosis. Abnormal expression and regulation of non-coding RNA (ncRNA) are involved in a variety of human diseases. In the present study, we aimed to identify differentially expressed mRNAs and ncRNAs in senile osteoporosis patient-derived BMSCs via high-throughput transcriptome sequencing in combination with bioinformatics analysis. As a result, 415 mRNAs, 30 lncRNAs, 6 circRNAs and 27 miRNAs were found to be significantly changed in the senile osteoporosis group. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were applied to analyze the function of differentially expressed mRNAs and ncRNAs. The circRNA-miRNA-mRNA regulatory network was constructed using the cytoHubba plugin based on the Cytoscape software. Interestingly, circRNA008876-miR-150-5p-mRNA was the sole predicted circRNA-miRNA-mRNA network. The differential expression profile of this ceRNA network was further verified by qRT-PCR. The biological function of this network was validated by overexpression and knockdown experiments. In conclusion, circRNA008876-miR-150-5p-mRNA could be an important ceRNA network involved in senile osteoporosis, which provides potential biomarkers and therapeutic targets for senile osteoporosis.

Indexed as

ceRNA networkhuman bone marrow mesenchymal stem cellsnon-coding RNAsenile osteoporosiswhole transcriptome sequencing

Identifiers

PMID34987549
PMCPMC8721150

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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.