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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Machine Learning-Based Identification of Immune Inflammation-Related Genes as Shared Potential Diagnostic Biomarkers
Ruiling Yang1, Fushen Zhang1, Jufang Huang1
1Department of Anatomy and Neurobiology, Xiangya School of Basic Medical Sciences, Central South University, Changsha 410013, China.
Biomedicines
|May 27, 2026
Summary
This study identifies shared immune and inflammatory molecular mechanisms between Autism Spectrum Disorder (ASD) and Atopic Dermatitis (AD). Key genes like BIN2, SLC39A7, and JAK2 show potential as diagnostic biomarkers for both conditions.
Area of Science:
- Neuroimmunology
- Dermatology
- Genetics
Background:
- Autism Spectrum Disorder (ASD) and Atopic Dermatitis (AD) are distinct conditions with early onset and chronic inflammatory characteristics, respectively.
- Both ASD and AD involve immune dysregulation and inflammation, but their shared molecular underpinnings are not well understood.
Purpose of the Study:
- To identify common molecular mechanisms and potential biomarkers linking ASD and AD.
- To explore the role of immuno-inflammatory pathways in the pathogenesis of both disorders.
Main Methods:
- Utilized GEO database for ASD and AD gene expression datasets, removing batch effects.
- Identified common differentially expressed genes (DEGs) and employed 107 machine learning models to screen for key genes.
- Performed functional enrichment, protein-protein interaction (PPI) network analysis, and immune cell infiltration analysis (CIBERSORT).
Main Results:
- Identified 164 common DEGs between ASD and AD, enriched in immune and inflammatory pathways.
- Screened and validated seven hub genes (BEX4, BIN2, BNIP3L, CCNO, JAK2, SLC39A7, WASF3) as potential common biomarkers.
- BIN2, SLC39A7, and JAK2 showed significant diagnostic value and correlated with immune cell infiltration levels.
Conclusions:
- Revealed shared immuno-inflammatory molecular mechanisms linking ASD and AD.
- Validated key genes as potential diagnostic biomarkers for both conditions, supporting further research into immune-related pathogenesis and early diagnosis.
