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Pathway-based network analyses and candidate genes associated with Kashin-Beck disease
Rongqiang Zhang1,2, Hao Guo1, Xiaoli Yang1
1School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases of National Health Commission of the People's Republic of China, Xi'an.
This study analyzed Kashin-Beck disease (KBD) genes using bioinformatics, identifying key biological functions and pathways involved in KBD pathogenesis. Findings suggest apoptosis and oxidative stress genes may aid in early KBD diagnosis and treatment.
Area of Science:
- Bioinformatics
- Genetics
- Molecular Biology
Background:
- Kashin-Beck disease (KBD) is a severe endemic skeletal disease.
- Understanding the genetic basis and molecular mechanisms of KBD is crucial for developing effective interventions.
Purpose of the Study:
- To conduct a comprehensive bioinformatics analysis of KBD-related genes.
- To elucidate the biological functions and interactions of these genes.
- To identify potential molecular targets for KBD pathogenesis.
Main Methods:
- Retrospective integrated bioinformatics analysis.
- Literature review to identify 922 KBD-associated genes.
- Network analysis using Cytoscape and MCODE algorithm.
Main Results:
- Enrichment analysis highlighted collagen catabolic process, apoptosis, and growth factor signaling in KBD development.
- Key pathways identified include apoptosis, NF-kappa B signaling, and glutathione metabolism.
- 110 candidate genes potentially related to KBD were discovered.
Conclusions:
- The identified 110 candidate genes may play a role in KBD development.
- Apoptosis and oxidative stress-related gene expression changes could serve as early diagnostic and therapeutic biomarkers for KBD.
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