Evidence map›Paper›PMID 39555740›Full record

ArticleImmunity, inflammation and disease2024

Senescence in Intervertebral Disc Degeneration: A Comprehensive Analysis Based on Bioinformatic Strategies.

Zijun Zhao, Yining Wang, Zairan Wang, Fan Zhang, Ze Ding, Tao Fan

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In one paragraph

Article in Immunity, inflammation and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zijun ZhaoSpine Center, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Yining WangGraduate Department, Jinzhou Medical University, Jinzhou, China.
Zairan WangDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Fan ZhangSpine Center, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Ze DingSpine Center, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Tao FanSpine Center, Sanbo Brain Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-9796-5671

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntervertebral disc degeneration (IDD) is a major cause for low back pain. Studies showed the association between senescence and degenerative diseases. Cell senescence can promote the occurrence and development of degenerative diseases through multiple mechanisms including inflammatory stress, oxidative stress and nutritional deprivation. The roles of senescence and senescence-associated genes (SAGs) remains unknown in IDD.

methodsFour differently expressed SAGs were identified as hub SAGs using "limma" package in R. We then calculated the immune infiltration of IDD patients, and investigated the relation between hub SAGs and immune infiltration. Enrichment analysis was performed to explore the functions of hub SAGs in IDD. Nomogram and LASSO model based on hub SAGs was constructed to predict the risk of severe degeneration (SD) for IDD patients. Subsequently, single cell analysis was conducted to describe the expression pattern of hub SAGs in intervertebral disc tissue.

resultsWe identified ASPH, CCND1, IGFBP3 and SGK1 as hub SAGs. Further analysis demonstrated that the hub SAGs might mediate the development of IDD by regulating immune infiltration and multiple pathways. The LASSO model based on the four hub SAGs showed good performance in predicting the risk of SD. Single cell analysis revealed that ASPH, CCND1 and SGK1 mainly expressed in nucleus pulposus cells, while IGFBP3 mainly expressed in epithelial cells. Eleven candidate drugs targeting hub SAGS were predicted for IDD patients through Comparative Toxicogenomics Database (CDT). PCR and immunohistochemical analysis showed that the levels of four hub SAGs were higher in SD than MD (mild degeneration) patients.

conclusionsWe performed a comprehensive analysis of SAGs in IDD, which revealed their functions and expression pattern in intervertebral disc tissue. Based on hub SAGs, we established a predictive model and explored the potential drugs. These findings provide new understandings of SAG mechanism and promising therapeutic strategies for IDD.

Indexed as

Computational BiologyIntervertebral Disc DegenerationAgingCellular SenescenceGene Expression ProfilingGene Regulatory NetworksHumansIntervertebral DiscNucleus Pulposusenrichment analysisimmune infiltration analysisintervertebral disc degenerationrisk modelsenescencesingle cell analysis

Identifiers

PMID39555740
PMCPMC11571097

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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.