Evidence map›Paper›PMID 40799218›Full record

ArticleFrontiers in genetics2025

Commonalities and differences in gene expression patterns in major depressive disorder and chronic spontaneous urticaria: implications for comorbidity.

Yibo Jiang, Wen Li, Lihao Zheng, Nan Ba

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

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yibo JiangThe Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Wen LiThe Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Lihao ZhengThe Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Nan BaThe Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic Spontaneous Urticaria (CSU) disrupts patients' physical wellbeing through recurrent wheals that last for up to 24 h and pruritus, and may also contribute to the development and progression of mental health conditions such as depression due to poor control of CSU symptoms. Clinical evidence has shown significant comorbidity between CSU and major depressive disorder (MDD), but our understanding of the underlying molecular mechanisms and how they differ by sex remains limited. In this work, five gene expression datasets were obtained from the Gene Expression Omnibus (GEO), encompassing three for MDD (GSE52790, GSE38206, GSE76826) and two exclusively whole-blood datasets for CSU (GSE167882, GSE72541). Following data preprocessing and batch effect correction, differentially expressed genes (DEGs) in CSU and MDD were identified in male, female, and total populations. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were used to characterize putative pathophysiological mechanisms. Subsequently, machine learning algorithms were implemented via 10-fold cross-validation to build transcriptomic classifiers for MDD in a sex-stratified manner. Results indicated shared molecular patterns between CSU and MDD, with 26 key genes in the total population, 6 in males and 7 in females. Further feature selection yielded 6 core transcriptomic features in the total population (

Indexed as

chronic spontaneous urticaria (CSU)comorbidity mechanismsmajor depressive disorder (MDD)precision medicinesex stratificationtranscriptomic profiling

Identifiers

PMID40799218
PMCPMC12339353

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