Evidence map›Paper›PMID 38324134›Full record

ArticleBiochemical genetics2024

Bioinformatics Analysis and Experimental Validation of Differential Genes and Pathways in Bone Nonunions.

Wei Xiong, Xing-Li Shu, Lv Huang, Su-Qi He, Lang-Hui Liu, Song Li, Zi-Chen Shao, Jun Wang, Ling Cheng

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Article in Biochemical genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Management of non-unions of the malleolar fractures- Current Evidence.Journal of clinical orthopaedics and trauma · 2024
    Article
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.

Wei XiongRehabilitation Medicine Department, Nanchang Hongdu Hospital of Traditional Chinese Medicine, No. 264, Minde Road, Donghu District, Nanchang City, 330008, Jiangxi, China.
Xing-Li ShuRehabilitation Medicine Department, Nanchang Hongdu Hospital of Traditional Chinese Medicine, No. 264, Minde Road, Donghu District, Nanchang City, 330008, Jiangxi, China.
Lv HuangRehabilitation Medicine Department, Nanchang Hongdu Hospital of Traditional Chinese Medicine, No. 264, Minde Road, Donghu District, Nanchang City, 330008, Jiangxi, China.
Su-Qi HeClinical Medical College, Jiangxi University of Chinese Medicine, Nanchang City, 330004, Jiangxi, China.
Lang-Hui LiuRehabilitation Medicine Department, Nanchang Hongdu Hospital of Traditional Chinese Medicine, No. 264, Minde Road, Donghu District, Nanchang City, 330008, Jiangxi, China.
Song LiRehabilitation Medicine Department, Nanchang Hongdu Hospital of Traditional Chinese Medicine, No. 264, Minde Road, Donghu District, Nanchang City, 330008, Jiangxi, China.
Zi-Chen ShaoClinical Medical College, Jiangxi University of Chinese Medicine, Nanchang City, 330004, Jiangxi, China. szc1119899361@outlook.com.
Jun WangGeneral Surgery Department of Trauma Center, The First Hospital of Nanchang, Nanchang City, 330008, Jiangxi, China. 484688865@qq.com.
Ling ChengRehabilitation Medicine Department, Nanchang Hongdu Hospital of Traditional Chinese Medicine, No. 264, Minde Road, Donghu District, Nanchang City, 330008, Jiangxi, China. yongyicheng1991@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-union fractures pose a significant clinical challenge, often leading to prolonged pain and disability. Understanding the molecular mechanisms underlying non-union fractures is crucial for developing effective therapeutic interventions. This study integrates bioinformatics analysis and experimental validation to unravel key genes and pathways associated with non-union fractures. We identified differentially expressed genes (DEGs) between non-union and fracture healing tissues using bioinformatics techniques. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were employed to elucidate the biological processes and pathways involved. Common DEGs were identified, and a protein-protein interaction (PPI) network was constructed. Fibronectin-1 (FN1), Thrombospondin-1 (THBS1), and Biglycan (BGN) were pinpointed as critical target genes for non-union fracture treatment. Experimental validation involved alkaline phosphatase (ALP) and Alizarin Red staining to confirm osteogenic differentiation. Our analysis revealed significant alterations in pathways related to cell behavior, tissue regeneration, wound healing, infection, and immune responses in non-union fracture tissues. FN1, THBS1, and BGN were identified as key genes, with their upregulation indicating potential disruptions in the bone remodeling process. Experimental validation confirmed the induction of osteogenic differentiation. The study provides comprehensive insights into the molecular mechanisms of non-union fractures, emphasizing the pivotal roles of FN1, THBS1, and BGN in extracellular matrix dynamics and bone regeneration. The findings highlight potential therapeutic targets and pathways for further investigation. Future research should explore interactions between these genes, validate results using in vivo fracture models, and develop tailored treatment strategies for non-union fractures, promising significant advances in clinical management.

Indexed as

BiglycanComputational BiologyFibronectinsFractures, UnunitedProtein Interaction MapsThrombospondin 1AnimalsCell DifferentiationFracture HealingGene Expression ProfilingGene OntologyHumansOsteogenesisBGN protein, humanBiglycanFibronectinsFN1 protein, humanThrombospondin 1thrombospondin-1, humanBiglycan (BGN)Bioinformatics analysisFibronectin-1 (FN1)Non-union fracturesOsteogenic differentiationThrombospondin-1 (THBS1)

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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.