Evidence mapPaperPMID 41530916Full record

ArticleAnnals of medicine2026

Comprehensive analysis of mRNA-microRNA-lncRNA expression profiles in post-traumatic elbow heterotopic ossification using RNA sequencing and experimental validation.

Limin Wang, Fanxiao Liu, Lianxin Li, Nan Liu, Jinlei Dong

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Article in Annals of medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Limin WangDepartment of Orthopaedics, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China.
Fanxiao LiuDepartment of Orthopaedics, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China.
Lianxin LiDepartment of Orthopaedics, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China.
Nan LiuDepartment of Orthopaedics, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China.
Jinlei DongDepartment of Orthopaedics, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to profile the molecular signatures of post-traumatic elbow heterotopic ossification (HO) to identify key regulators and potential therapeutic targets.

methodsTotal RNA from post-traumatic elbow HO tissues (n=4) and normal bone tissues (n=6) was subjected to high-throughput sequencing to identify differentially expressed mRNAs (DEGs), microRNAs (DEMs), and lncRNAs (DELs). Bioinformatics analyses included Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, protein-protein interaction network construction, and transcription factor (TF)-microRNA-mRNA network analysis. The expression trends of four most upregulated and four most downregulated DEGs were validated by real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR).

resultsWe identified 2,138 DEGs, 40 DEMs, and 905 DELs. DEGs were significantly enriched in biological process "bone mineralization," cellular component "plasma membrane," molecular function "integrin binding," and pathways including PI3K-Akt, NF-κB, JAK-STAT, and TNF signaling pathways. Hub genes with high connectivity included MMP9, IL6, MMP3, CTSK, and BGLAP. Integrated network analysis highlighted the transcription factor JUN and key microRNAs (hsa-miR-124-3p, hsa-miR-548c-3p, and hsa-miR-135b). The qRT-PCR results confirmed the expression trends of selected DEGs.

conclusionsThis study, for the first time, profiled the differentially expressed mRNAs, microRNAs, and lncRNAs in post-traumatic elbow HO using high-throughput RNA sequencing. These findings provide valuable insights into the molecular mechanisms of HO following elbow trauma. The identified hub genes (MMP9, IL6, MMP3, CTSK, and BGLAP), key TF (JUN), and key microRNAs (hsa-miR-124-3p, hsa-miR-548c-3p, and hsa-miR-135b) may serve as potential therapeutic targets for preventing and treating post-traumatic elbow HO.

Indexed as

Elbow InjuriesMicroRNAsOssification, HeterotopicRNA, Long NoncodingRNA, MessengerAdultComputational BiologyFemaleGene Expression ProfilingGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHumansMaleSequence Analysis, RNAMicroRNAsRNA, Long NoncodingRNA, MessengerElbow traumaexpression profileheterotopic ossificationhigh-throughput RNA sequencing

Identifiers

PMID41530916
PMCPMC12805848

What Socratic holds

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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 Socratic graph.