Evidence map›Paper›PMID 42049413›Full record

ArticleIn vivo (Athens, Greece)

Plasma Exosomal miR-106b-5p Is Associated With Osteoporosis by Targeting

Ming-Hui Xia, Yi-Hua Lu, Long-Fei Wu, Fei-Yan Deng, Shu-Feng Lei

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Ming-Hui Xia *Center for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Jiangsu, P.R. China.
Yi-Hua Lu *Department of Epidemiology, School of Public Health, Nantong University, Jiangsu, P.R. China.
Long-Fei WuCenter for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Jiangsu, P.R. China.
Fei-Yan DengCenter for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Jiangsu, P.R. China; fdeng@suda.edu.cn.
Shu-Feng LeiCenter for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Jiangsu, P.R. China; leisf@suda.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimThis study aimed to explore the expression, function, and regulatory mechanism of exosomal miR-106b-5p in osteoporosis (OP), to identify a novel diagnostic biomarkers and therapeutic targets. MATERIALS AND

methodsPlasma-derived exosomes were isolated in three independent case-control study samples (N=278, OP patients

resultsExosomal miR-106b-5p abundance was screened to be consistently up-regulated with OP in the three sample sets. Overexpression of miR-106b-5p significantly affected proliferation, apoptosis, and cell cycle of MC3T3-E1 but not RAW264.7. RT-qPCR, ALP and TRAP staining showed that the upregulated miR-106b-5p significantly inhibits osteogenic differentiation and enhances bone resorption. Additionally, miR-106b-5p was confirmed to target and negatively regulate expression of

conclusionPlasma exosomal miR-106b-5p promotes OP by targeting

Indexed as

Bone Morphogenetic Protein 2ExosomesMicroRNAsMitogen-Activated Protein Kinase 1OsteoporosisSmad5 ProteinAnimalsApoptosisBiomarkersCell DifferentiationCell ProliferationFemaleGene Expression RegulationHumansMiceOsteoblastsBiomarkersBMP2 protein, humanBone Morphogenetic Protein 2MicroRNAsMIRN106 microRNA, humanMitogen-Activated Protein Kinase 1Smad5 ProteinbonemiR-106b-5posteoblastosteoclastPlasma exosome

Identifiers

PMID42049413
PMCPMC13133862

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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.