Evidence map›Paper›PMID 32873329›Full record

ArticleJournal of orthopaedic surgery and research2020

Analysis of key genes and pathways associated with the pathogenesis of intervertebral disc degeneration.

Shiyu Hu, Yucheng Fu, Bin Yan, Zhe Shen, Tao Lan

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Shiyu HuDepartment of Neurology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Yucheng FuDepartment of Orthopedics, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Bin YanDepartment of Neurology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Zhe ShenDepartment of Spine Surgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China. doctorshenzhe@163.com.
Tao LanDepartment of Spine Surgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China. 275305207@qq.com.
Shenzhen Second People's Hospital · CNRuijin Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntervertebral disc degeneration (IDD) is widely known as the main contributor to low back pain which has a negative socioeconomic impact worldwide. However, the underlying mechanism remains unclear. This study aims to analyze the dataset GSE23130 using bioinformatics methods to identify the pivotal genes and pathways associated with IDD. MATERIAL/

methodsThe gene expression data of GSE23130 was downloaded, and differentially expressed genes (DEGs) were extracted from 8 samples and 15 controls. GO and KEGG pathway enrichment analyses were performed. Also, protein-protein interaction (PPI) network was constructed and visualized, followed by identification of hub genes and key module.

resultsA total of 30 downregulated and 79 upregulated genes were identified. The DEGs were mainly enriched in the regulation of protein catabolic process, extracellular matrix organization, collagen fibril organization, and extracellular structure organization. Meanwhile, we found that most DEGs were primarily enriched in the PI3K-Akt signaling pathway. The top 10 hub genes were FN1, COL1A2, SPARC, COL3A1, CTGF, LUM, TIMP1, THBS2, COL5A2, and TGFB1.

conclusionsIn summary, key candidate genes and pathways were identified by using integrated bioinformatics analysis, which may provide insights into the underlying mechanisms and offer potential target genes for the treatment of IDD.

Indexed as

Databases, GeneticDatasets as TopicGenetic Association StudiesCollagen Type IComputational BiologyConnective Tissue Growth FactorFemaleFibronectinsGene ExpressionHumansIntervertebral Disc DegenerationLumicanMaleOsteonectinPhosphatidylinositol 3-KinasesProtein Interaction MapsCCN2 protein, humanCOL1A2 protein, humanCollagen Type IConnective Tissue Growth FactorFibronectinsFN1 protein, humanLumicanLUM protein, humanOsteonectinPhosphatidylinositol 3-KinasesProteinsProto-Oncogene Proteins c-aktSPARC protein, humanBioinformaticsGeneIntervertebral disc degeneration

Identifiers

PMID32873329
PMCPMC7465721
OpenAlexW3082248513

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LicenceCC BY
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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.