Understanding Biomarkers in Multiple Sclerosis Progression
Author Information
Author(s): Shriwash Nitesh, Aiman Ayesha, Singh Prithvi, Basir Seemi Farhat, Shamsi Anas, Shahid Mohammad, Dohare Ravins, Islam Asimul
Primary Institution: Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Okhla, New Delhi, India
Hypothesis
This study aims to elucidate the molecular progression of MS using a multiomics and network-based approach.
Conclusion
The study identifies STAT3 and CREB1 as key biomarkers in the progression of multiple sclerosis.
Supporting Evidence
- 880 MS-associated differentially expressed genes (DEGs) were identified.
- 122 hub DEGs were revealed through weighted gene co-expression network analysis.
- STAT3 was found to be upregulated while CREB1 was downregulated in MS patients compared to healthy controls.
Takeaway
Researchers looked at genes in people with multiple sclerosis to find important markers that could help diagnose and treat the disease better.
Methodology
The study used gene expression data from MS patients and healthy controls, applying weighted gene co-expression network analysis to identify hub genes.
Limitations
Further experimental validation is needed to confirm the significance of the identified biomarkers.
Participant Demographics
The study included 10 MS patients and 10 healthy controls.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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