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Updated: May 16, 2025
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Examining Muscle Regeneration in Zebrafish Models of Muscle Disease
Published on: January 18, 2021
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Transcriptome analysis and machine learning methods reveal potential mechanisms of zebrafish muscle aging
Jian Wang1, Junwei Shan2, Cheng Guo3
1Anesthesiology Department, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, Zhejiang, China.
Summary
This study reveals key molecular changes in aging zebrafish muscle, identifying genes and pathways involved in senescence. Researchers developed a novel muscle aging clock for predicting age from gene expression data.
Area of Science:
- Molecular Biology
- Gerontology
- Zebrafish Models
Background:
- Muscle aging has significant health implications.
- Zebrafish are valuable models for studying human muscle diseases.
- Molecular mechanisms of zebrafish muscle aging are poorly understood.
Purpose of the Study:
- To investigate the molecular mechanisms of muscle aging in zebrafish.
- To identify genes and pathways associated with muscle senescence.
- To develop a tool for predicting muscle age in zebrafish.
Main Methods:
- Gene expression profiling of zebrafish muscle across four age groups.
- Differential expression and pattern analysis to identify aging-related genes.
- Functional enrichment, H&E staining, machine learning for biomarker screening, and RT-qPCR validation.
Main Results:
- Identified a set of genes linked to zebrafish muscle aging.
- Observed biological changes including chronic inflammation, sphingolipid accumulation, reduced autophagy, and ferroptosis pathway activation.
- Detected myofibrillar interstitial expansion and inflammatory cell infiltration in senescent muscle.
- Developed a predictive muscle aging clock using transcriptomic data and machine learning.
Conclusions:
- This research provides insights into the molecular basis of muscle aging in zebrafish.
- The identified biomarkers and aging clock offer new tools for anti-aging research using zebrafish models.
