Evidence map›Paper›PMID 39175544›Full record

ArticleFrontiers in pharmacology2024

Identification of miRNAs related to osteoporosis by high-throughput sequencing.

Jiachun Huang, Haolin Yang, Shuang Chai, Yanping Lin, Zhihai Zhang, Hongxing Huang, Lei Wan

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. MicroRNA-127-3p Inhibits In Vitro Osteogenesis and Dampens Trauma-Induced Heterotopic Ossification In Vivo.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jiachun HuangThe Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Haolin YangGuangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Shuang ChaiThe Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Yanping LinThe Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Zhihai ZhangThe Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Hongxing HuangThe Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Lei WanThe Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteoporosis is a major health issue. MicroRNAs (miRNAs) play multiple roles in regulating cell growth and development. High-throughput sequencing technology is widely used nowadays. Objective: To screen for and validate miRNAs associated with osteoporosis. Method: Bone specimens from patients with (n = 3) and without (n = 3) osteoporosis were collected. High-throughput sequencing was used to screen for miRNAs that were then analyzed using volcano maps, Wayne maps, gene ontology (GO) analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Confirmation of the miRNAs was done using qRT-PCR. Results: The analysis of sequencing showed that there were 12 miRNAs that were down-regulated and five miRNAs that were upregulated in osteoporosis. GO and KEGG identified these miRNAs as being associated with bone metabolism. The qRT-PCR results showed that miR-140-5p, miR-127-3p, miR-199b-5p, miR-181a-5p, miR-181d-5p, and miR-542-3p exhibited a decrease of 2.27-, 3.00-, 3.48-, 2.67-, 2.41-, and 1.98-fold (all Conclusion: This study utilized high-throughput sequencing to detect miRNAs that were expressed differently in individuals with osteoporosis. In osteoporosis, six miRNAs (miR-140-5p, miR-127-3p, miR-199b-5p, miR-181a-5p, miR-181d-5p, and miR-542) were found to have decreased expression, whereas two miRNAs (miR-486-3p and miR-486-5p) were found to have increased expression. The initial manifestation of various miRNAs might serve as predictive indicators and potentially anticipate the progression of osteoporosis.

Indexed as

bonehigh-throughout sequencingmicroRNAosteoporosisqRT-PCR

Identifiers

PMID39175544
PMCPMC11338934

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