Evidence map›Paper›PMID 41407774›Full record

ArticleScientific reports2025

Bioinformatic analysis of glycosylation-related genes in intervertebral disc degeneration and their roles in immune infiltration and diagnostic models.

Gaofeng Liu, Qingguang Qin, Weixing Zhong, Hongwen Liu, Yin Xie, Xiaoli Huang, Guangjie Liu, Yikai Li

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Gaofeng Liu *School of Traditional Chinese Medicine, Southern Medical University, 1023-1063 Satay Road South, Guangzhou, 510515, Guangdong Province, China.
Qingguang Qin *Department of Acupuncture and Moxibustion, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, 570311, China.
Weixing Zhong *School of Traditional Chinese Medicine, Southern Medical University, 1023-1063 Satay Road South, Guangzhou, 510515, Guangdong Province, China.
Hongwen LiuSchool of Traditional Chinese Medicine, Southern Medical University, 1023-1063 Satay Road South, Guangzhou, 510515, Guangdong Province, China.
Yin XieSchool of Traditional Chinese Medicine, Southern Medical University, 1023-1063 Satay Road South, Guangzhou, 510515, Guangdong Province, China.
Xiaoli HuangSchool of Traditional Chinese Medicine, Southern Medical University, 1023-1063 Satay Road South, Guangzhou, 510515, Guangdong Province, China.
Guangjie LiuInstitute of Neuroscience and Guangxi Key Laboratory of Brain Science, Department of Human Anatomy, School of Basic Medical Sciences, Guangxi Medical University, Nanning, 530021, Guangxi Province, China. drliugj@outlook.com.
Yikai LiSchool of Traditional Chinese Medicine, Southern Medical University, 1023-1063 Satay Road South, Guangzhou, 510515, Guangdong Province, China. ortho@smu.edu.cn.

Funding

Li Yikai Guangdong Province Famous Traditional Chinese Medicine Inheritance Studio Construction Project Guangdong Traditional Chinese Medicine Office Letter 2023_108Sanming Project of Medicine in Shenzhen SZZYSM202108013the National Natural Science Foundation of China 82074529
6 · The paper itself

Abstract

Intervertebral disc degeneration (IDD) severely impacts patients' quality of life. Elucidating IDD's molecular mechanisms is crucial for developing effective diagnostics and therapeutics. Integrating multiple IDD gene expression datasets using bioinformatics identified 25 glycosylation-related differentially expressed genes (GRDEGs). We analyzed their biological functions and regulatory networks in IDD using GO, KEGG, GSEA, and WGCNA. An IDD diagnostic LASSO regression model was constructed and validated. Immune cell infiltration analysis using CIBERSORT/ssGSEA divided IDD samples into subtypes based on glycosylation scores, exploring the immune microenvironment's influence on heterogeneity. We explored regulatory networks involving transcription factors, miRNAs, RNA-binding proteins, and drugs affecting key genes. 25 GRDEGs were identified from 625 glycosylation-related genes (GRGs), and 9 hub genes were further screened by WGCNA to clarify their biological functions and regulatory networks. The diagnostic model based on 7 key genes performed well in the training and validation sets. In addition, Spearman correlation analysis showed that 6 key genes (MAN2B2, MAN1A1, CHI3L1, PLOD2, RAPGEF5, GLA) were significantly associated with immune cell infiltration, including Eosinophils, Dendritic cells, Macrophages M0, and T regulatory cells. Three key genes (MAN2B2, GLA, CHI3L1) significantly affected the differences between high and low glycosylation score subtypes in the immune microenvironment. In addition, regulatory networks, including 49 transcription factors, 32 miRNAs, 116 RNA-binding proteins, and 20 potential drugs, were identified. This study explored the characteristics of glycosylation-related genes in IDD and their potential association with immune infiltration, providing preliminary insights that may inform future research on diagnostic biomarkers and therapeutic targets.

Indexed as

Computational BiologyIntervertebral Disc DegenerationGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksGlycosylationHumansBioinformatic analysisGlycosylation-related genesImmune cell infiltrationIntervertebral disc degenerationRegulatory networks

Identifiers

PMID41407774
PMCPMC12715231

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.