Evidence map›Paper›PMID 42117108›Full record

ArticleJournal of inflammation research2026

Integrative Transcriptomics Identifies Ubiquitination-Related Genes

Ailing Jiang, Yanzhen Huang, Xianting Que, Chonglin Li, Ziqun Lin, Wen Huang

Abstract read
In one paragraph

Article in Journal of inflammation research, 2026. 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
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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

6 authors.

Ailing JiangDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.ORCID 0009-0005-3790-3566
Yanzhen HuangDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Xianting QueDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.ORCID 0009-0004-2452-8376
Chonglin LiDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Ziqun LinDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Wen HuangDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.ORCID 0000-0002-9055-9873

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Amyotrophic lateral sclerosis (ALS) is marked by immune dysregulation; however, the role of T cell-ubiquitination-related genes (TURGs) in its pathogenesis remains unclear. This study aimed to investigate the contribution of TURGs to T-cell dysfunction and ubiquitination imbalance in ALS. Patients and Methods: Differentially expressed genes were identified through analysis of bulk transcriptomes (GSE112680). CIBERSORT deconvolution and weighted gene co-expression network analysis were employed to define T-cell-associated modules. Integration with ubiquitination-related gene sets yielded T cell-ubiquitination-related differentially expressed genes (TURDEGs). Functional enrichment analysis and protein-protein interaction network construction, combined with multi-algorithm selection, facilitated the development of a risk-prediction model. Mechanistic insights were derived from Gene Set Enrichment Analysis, immune profiling, co-expression and regulatory network analyses, and drug-target prediction. Single-cell transcriptomic analysis provided insights into cellular-level pathogenic mechanisms in ALS. qPCR was used to validate core TURDEGs expression in peripheral blood samples from patients with ALS. Results: Thirty-nine TURDEGs were identified and exhibited significant enrichment in pathways related to ubiquitination, immune activation, autophagy, and NOD-like receptor signaling. BIRC2, COPS5, and TBK1 were identified as core genes. The resulting risk-prediction model demonstrated significant potential for clinical application. Immune infiltration analysis revealed positive correlations between core genes and CD4⁺ resting memory T cells, as well as negative correlations between Conclusion: TURDEGs-mediated T cell dysfunction and ubiquitination imbalance play critical roles in ALS pathogenesis, unveiling novel biomarkers and potential personalized therapeutic targets.

Indexed as

amyotrophic lateral sclerosisbiomarkersimmune dysregulationrisk-prediction modelt cell ubiquitination-related genes

Identifiers

PMID42117108
PMCPMC13157354

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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.