Evidence map›Paper›PMID 37359021›Full record

ArticleFrontiers in medicine2023

Bioinformatic analysis of the molecular mechanisms underlying the progression of bone defects.

Hao Liu, Xuan Zhao, Yin Li, Jiang Yi, Chenxi Zhang, Ziyang Zheng, Siming Dai, Guoyong Yin, Shujie Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Assessment of bone tissue cytoarchitectonics by 2DJournal of biological physics · 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 at 2 institutions in 1 country.

Hao LiuDepartment of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Xuan ZhaoDepartment of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yin LiDepartment of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Jiang YiDepartment of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Chenxi ZhangDepartment of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Ziyang ZhengDepartment of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Siming DaiDepartment of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Guoyong YinDepartment of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Shujie ZhaoDepartment of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Nanjing Medical University · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The pathophysiology of bone defects (BDs) is complex, and the treatment for bone defects, in particular massive bone defects, remains a major clinical challenge. Our study was conducted to explore the molecular events related to the progression of bone defects a common clinical condition. Methods: First, microarray data of GSE20980 were obtained from the Gene Expression Omnibus (GEO) database, where 33 samples in total were used to analyze the molecular biological processes related to bone defects. Next, the original data were normalized and differentially expressed genes (DEGs) were identified. Additionally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted. Finally, a protein-protein interaction (PPI) network was constructed and the trends of the different genes were confirmed. Results: Compared with the samples of non-critical size defects (NCSD), the samples of critical size defects (CSD) had 2057, 827, and 1,024 DEGs at 7, 14, and 21 days post injury, respectively. At day 7, the DEGs were significantly enriched in metabolic pathways, at day 14 the DEGs were predominantly enriched in G-protein coupled signaling pathways and the Janus kinase (JAK)-signal transducer and activator of transcription (STAT) signaling pathway, and at day 21 the DEGs were mainly enriched in circadian entrainment and synaptic-related functions. The PPI network showed similar results. Quantitative real-time PCR (qRT-PCR) and western blot (WB) were performed to validate the partial results of sequencing. Conclusion: This study provides some clues about the molecular mechanism behind bone defects, which should contribute to scientific research and clinical treatment of this condition.

Indexed as

bone defectscircadian rhythmsKyoto encyclopedia of genes and genomes (KEGG)metabolic pathwayprotein–protein interaction (PPI)

Identifiers

PMID37359021
PMCPMC10286739
OpenAlexW4380051565

What OpenQuestion holds

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Registered trials

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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.