Evidence map›Paper›PMID 26038726›Full record

ArticlePeerJ2015

Identification of miR-194-5p as a potential biomarker for postmenopausal osteoporosis.

Jia Meng, Dapeng Zhang, Nanan Pan, Ning Sun, Qiujun Wang, Jingxue Fan, Ping Zhou, Wenliang Zhu, Lihong Jiang

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 5% 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 104 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. The MicroRNAs in the Pathophysiology of Osteoporosis.International journal of molecular sciences · 2024
    Review
  6. Review
  7. Review
  8. Review
  9. Common miRNAs of Osteoporosis and Fibromyalgia: A Review.International journal of molecular sciences · 2023
    Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. A systematic review of miRNAs as biomarkers in osteoporosis disease.Journal of diabetes and metabolic disorders · 2021
    Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. The Osteoporosis/Microbiota Linkage: The Role of miRNA.International journal of molecular sciences · 2020
    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

9 authors at 2 institutions in 1 country.

Jia Meng *Department of Geriatrics, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Dapeng Zhang *Department of Orthopedic Surgery, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Nanan PanDepartment of Geriatrics, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Ning SunDepartment of Nursing, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Qiujun WangDepartment of Geriatrics, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jingxue FanDepartment of Geriatrics, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Ping ZhouDepartment of Geriatrics, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Wenliang ZhuInstitute of Clinical Pharmacology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Lihong JiangDepartment of Geriatrics, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Harbin Medical University · CNSecond Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of osteoporosis is high in postmenopausal women due to altered estrogen levels and continuous calcium loss that occurs with aging. Recent studies have shown that microRNAs (miRNAs) are involved in the development of osteoporosis. These miRNAs may be used as potential biomarkers to identify women at a high risk for developing the disease. In this study, whole blood samples were collected from 48 postmenopausal Chinese women with osteopenia or osteoporosis and pooled into six groups according to individual T-scores. A miRNA microarray analysis was performed on pooled blood samples to identify potential miRNA biomarkers for postmenopausal osteoporosis. Five miRNAs (miR-130b-3p, -151a-3p, -151b, -194-5p, and -590-5p) were identified in the microarray analysis. These dysregulated miRNAs were subjected to a pathway analysis investigating whether they were involved in regulating osteoporosis-related pathways. Among them, only miR-194-5p was enriched in multiple osteoporosis-related pathways. Enhanced miR-194-5p expression in women with osteoporosis was confirmed by quantitative reverse transcription-polymerase chain reaction analysis. For external validation, a significant correlation between the expression of miR-194-5p and T-scores was found in an independent patient collection comprised of 24 postmenopausal women with normal bone mineral density, 30 postmenopausal women with osteopenia, and 32 postmenopausal women with osteoporosis (p < 0.05). Taken together, the present findings suggest that miR-194-5p may be a viable miRNA biomarker for postmenopausal osteoporosis.

Indexed as

BiomarkerMicroRNAmiR-194Postmenopausal osteoporosis

Identifiers

PMID26038726
PMCPMC4451039
OpenAlexW229604832

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.