Evidence map›Paper›PMID 31933803›Full record

ArticleInternational journal of clinical and experimental pathology2019

miR-193-3p ameliorates bone resorption in ovariectomized mice by blocking NFATc1 signaling.

Xiuhua Li, Limin Yang, Zhanpeng Guo

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Noncoding RNAs: the crucial role of programmed cell death in osteoporosis.Frontiers in cell and developmental biology · 2024
    Review
  5. Article
  6. Article
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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

3 authors at 1 institution in 1 country.

Xiuhua LiDepartment of Orthopedics, The First Affiliated Hospital of Jinzhou Medical University Jinzhou 121001, Liaoning Province, China.
Limin YangDepartment of Orthopedics, The First Affiliated Hospital of Jinzhou Medical University Jinzhou 121001, Liaoning Province, China.
Zhanpeng GuoDepartment of Orthopedics, The First Affiliated Hospital of Jinzhou Medical University Jinzhou 121001, Liaoning Province, China.
Jinzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNuclear factor of activated T cells, cytoplasmic 1 (NFATc1) as a key transcription factor contributes to osteoclast differentiation and bone resorption. However, the post-transcriptional mechanisms of microRNAs (miRNAs) targeted to NFATc1 have not been completely clarified in postmenopausal osteoporosis (PMO). In our study, we aimed to investigate the role of miR-193-3p in ovariectomy (OVX)-induced bone loss by regulating the NFATc1 pathway.

methodsFemale C57BL/6J mice underwent sham or OVX operation. Injection of Agomir-Control or Agomir-miR-193-3p was performed in OVX mice. Serum, urine and tibia were collected for experimental measurements, including biochemical markers, RT-qPCR and western blotting assays.

resultsWe identified NFATc1 as a direct target of miR-193-3p. Up-regulation of NFATc1 and down-regulation of miR-193-3p were found in the tibia of OVX mice. Gain-of-function of miR-193-3p resulted in the reduction of NFATc1 mRNA and protein expression

conclusionOverexpression of miR-193-3p had an osteoprotective effect in OVX mice by suppressing NFATc1 pathways.

Indexed as

miR-193-3pNFATc1osteoporosisOvariectomypost-transcriptional

Identifiers

PMID31933803
PMCPMC6949795
OpenAlexW3006721009

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.