Evidence map›Paper›PMID 34545328›Full record

ArticleBioMed research international2021

Hub Genes and Key Pathways of Intervertebral Disc Degeneration: Bioinformatics Analysis and Validation.

Zhiwen Zhang, Qiong Wang, Yang Li, Bangzhi Li, Liming Zheng, Chengjian He

Abstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

6 authors.

Zhiwen ZhangCollege of Acupuncture and Orthopedics, Hubei University of Chinese Medicine, Wuhan 430061, China.ORCID https://orcid.org/0000-0002-3303-9046
Qiong WangHubei Provincial Hospital of Traditional Chinese Medicine, No. 4, Garden Hill, Wuchang, Wuhan, Hubei 430061, China.
Yang LiCollege of Acupuncture and Orthopedics, Hubei University of Chinese Medicine, Wuhan 430061, China.
Bangzhi LiCollege of Acupuncture and Orthopedics, Hubei University of Chinese Medicine, Wuhan 430061, China.
Liming ZhengCollege of Acupuncture and Orthopedics, Hubei University of Chinese Medicine, Wuhan 430061, China.
Chengjian HeCollege of Acupuncture and Orthopedics, Hubei University of Chinese Medicine, Wuhan 430061, China.ORCID https://orcid.org/0000-0001-7170-0141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify significant pathways and genes in intervertebral disc degeneration (IDD) based on bioinformatics analysis.

designThe GEO database was used to download the GSE124272 dataset. Differentially expressed genes (DEGs) were analyzed using Limma package in R language. Then, gene ontologies (GO), Kyoto encyclopedia of genes and genomes (KEGG), and protein-protein interaction (PPI) networks were used to further identify hub genes. The mRNA expression levels of top six hub genes were verified.

resultsWe found 563 DEGs, of which 214 were upregulated and 349 were downregulated. The top 5 GO terms and pathways were shown including immune response, cell cycle, and p53 pathway. Based on the PPI analysis, we verified the mRNA expression levels of 6 hub genes. The mRNA levels of CHEK1, CDCA2, SKA3, and KIF20A were upregulated in degenerative NP tissue than in healthy NP tissue. However, the mRNA level of BUB1 and SPC25 was downregulated.

conclusionsThis study may provide new biomarkers for the IDD and treatments to repair IDD related to CHEK1, CDCA2, SKA3, BUB1, KIF20A, and SPC25.

Indexed as

BiomarkersCarrier ProteinsCell CycleCell Cycle ProteinsCheckpoint Kinase 1ChinaChromosomal Proteins, Non-HistoneComputational BiologyDatabases, GeneticGene ExpressionGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansIntervertebral Disc DegenerationKinesinsBiomarkersBUB1 protein, humanCarrier ProteinsCDCA2 protein, humanCell Cycle ProteinsCheckpoint Kinase 1CHEK1 protein, humanChromosomal Proteins, Non-HistoneKIF20A protein, humanKinesinsMicrotubule-Associated ProteinsNuclear ProteinsProtein Serine-Threonine KinasesSKA2 protein, humanSPC25 protein, human

Identifiers

PMID34545328
PMCPMC8449732

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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.