Evidence map›Paper›PMID 39537712›Full record

ArticleScientific reports2024

Elucidating common biomarkers and pathways of osteoporosis and aortic valve calcification: insights into new therapeutic targets.

Yujian Lan, Qingping Peng, Jianlin Shen, Huan Liu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. The role of microRNAs in calcific aortic valve disease.Frontiers in cardiovascular medicine · 2025
    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

4 authors.

Yujian Lan *School of Integrated Traditional Chinese and Western Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Qingping Peng *School of Integrated Traditional Chinese and Western Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Jianlin ShenDepartment of Orthopaedics, Affiliated Hospital of Putian University, Putian, 351100, Fujian, China. shenjianlinchina@126.com.
Huan LiuDepartment of Orthopaedics, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, Sichuan, China. 20016040@163.com.

Funding

National Natural Science Foundation of China 82301785Sichuan Province Central Guiding Local Science and Technology Development Special Project 2023ZYD0072
6 · The paper itself

Abstract

backgroundOsteoporosis and aortic valve calcification, prevalent in the elderly, have unclear common mechanisms. This study aims to uncover them through bioinformatics analysis.

methodsMicroarray data from GEO was analyzed for osteoporosis and aortic valve calcification. Differential expression analysis identified co-expressed genes. SVM-RFE and random forest selected key genes. GO and KEGG enrichment analyses were performed. Immunoinfiltration and GSEA analyses were subsequently performed. NetworkAnalyst analyzed microRNAs/TFs. HERB predicted drugs, and molecular docking assessed targeting potential.

resultsThirteen genes linked to osteoporosis and aortic valve calcification were identified. TNFSF11, KYNU, and HLA-DMB emerged as key genes. miRNAs, TFs, and drug predictions offered therapeutic insights. Molecular docking suggested 17-beta-estradiol and vitamin D3 as potential treatments.

conclusionThe study clarifies shared mechanisms of osteoporosis and aortic valve calcification, identifies biomarkers, and highlights TNFSF11, KYNU, and HLA-DMB. It also suggests 17-beta-estradiol and vitamin D3 as potential effective treatments.

Indexed as

Aortic ValveAortic Valve StenosisBiomarkersCalcinosisOsteoporosisAortic Valve DiseaseCholecalciferolComputational BiologyEstradiolGene Expression ProfilingGene Regulatory NetworksHumansMicroRNAsMolecular Docking SimulationRANK LigandBiomarkersCholecalciferolEstradiolMicroRNAsRANK LigandTNFSF11 protein, humanAortic valve calcificationBioinformatics analysisMachine learningMolecular mechanismsOsteoporosis

Identifiers

PMID39537712
PMCPMC11560947

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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.