Evidence map›Paper›PMID 29234953›Full record

ArticleJournal of bone and mineral metabolism2018

Involvement of microRNA-23b in TNF-α-reduced BMSC osteogenic differentiation via targeting runx2.

Lin Deng, Guoli Hu, Lei Jin, Chenglong Wang, Hongwen Niu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of bone and mineral metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

33 citing papers in PubMed, 65 citations in OpenAlex.

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  9. Annals of translational medicine · 2023
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  20. [The regulatory role of microRNA in osteogenic differentiation of mesenchymal stem cells and its application as a therapeutic target and diagnostic tool in orthopedic diseases].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2020
    Article
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 at 3 institutions in 1 country.

Lin DengDepartment of Traumatology, Shu Guang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Guoli HuKey Laboratory of Stem Cell Biology, Institute of Health Sciences, Shanghai Jiao Tong University School of Medicine (SJTUSM) and Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences, Shanghai, China.
Lei JinAnorectal Surgery, Shanghai Min Hang Traditional Chinese Medicine Hospital, Shanghai, China.
Chenglong WangDepartment of Orthopedic Surgery, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China.
Hongwen NiuDepartment of Traumatology, Shu Guang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China. shuguang3138@163.com.
Shanghai Jiao Tong University · CNShanghai University of Traditional Chinese Medicine · CNShanghai Traditional Chinese Medicine Hospital · CN

Funding

Shanghai Municipal Population and Family Planning Commission J50206
6 · The paper itself

Abstract

Elucidation of the molecular mechanism governing bone marrow mesenchymal stem cell (BMSC) osteogenic differentiation is of great importance for improving the treatment of osteoporosis. TNF-α is a well-known inhibitory factor during osteogenic differentiation of BMSCs. In our experiment, we consistently observed that TNF-α significantly inhibited BMSC osteogenic differentiation, which was partially rescued by BAY 11-7082 (NF-κB inhibitor). In this study, we examined the potential roles of microRNAs (miRNAs) involved in TNF-α-mediated reduction of BMSC osteogenesis. We found that microRNA-23b (miR-23b) was dramatically induced under the stimulation of TNF-α, which was abolished by BAY 11-7082. Similar to the effect of TNF-α, miR-23b agonist (agomir-23b) obviously impaired BMSC osteogenic differentiation in vitro and in vivo. However, agomir-23b had no effect on osteoclast activity. Overexpression of miR-23b significantly reduced runx2, the master transcription factor during osteogenesis, suggesting that miR-23b acts as an endogenous attenuator of runx2 in BMSCs. Mutation of the putative miR-23b binding site in runx2 mRNA blocked miR-23b-mediated repression of the runx2 3' untranslated region (3'UTR) luciferase reporter activity, suggesting that miR-23b directly binds to runx2 3'UTR. Furthermore, infection with Ad-runx2 (adenovirus carrying the entire CDS sequence of runx2) effectively rescued the inhibition of BMSC osteogenic differentiation in miR-23b-overexpressing cells, indicating that the inhibiting effect of miR-23b on osteogenesis is mediated by suppression of runx2. Moreover, caudal vein injection of agomir-23b notably caused severe osteoporosis in mice, and forced expression of runx2 by combined injecting Ad-runx2 attenuated the bone loss induced by miR-23b. Collectively, these data indicated that miR-23b was involved in TNF-α-mediated reduction of BMSC osteogenesis by targeting runx2. These findings may provide new insights into understanding the regulatory role of miR-23b in the process of BMSC osteogenic differentiation in inflammatory conditions and a novel therapeutic target for osteoporosis.

Indexed as

3' Untranslated RegionsAnimalsBase SequenceBone ResorptionCell DifferentiationCore Binding Factor Alpha 1 SubunitHumansMaleMice, Inbred C57BLMicroRNAsOsteogenesisRNA, MessengerTumor Necrosis Factor-alphaUp-Regulation3' Untranslated RegionsCore Binding Factor Alpha 1 SubunitMicroRNAsMIRN23a microRNA, humanRNA, MessengerRUNX2 protein, humanTumor Necrosis Factor-alphaBMSCsMiR-23bOsteogenic differentiationRunx2TNF-α

Identifiers

PMID29234953
OpenAlexW2772983982

What OpenQuestion holds

Textmetadata
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.