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Brain & Heart                                             Alzheimer’s disease: Gene and protein network analysis











































                                    Figure 5. Network diagram of top five hub genes and microRNA interactions

            insights into the molecular mechanisms underlying   4. Discussion
            various biological processes and diseases.
                                                               In this study, comprehensive analyses incorporating
            3.6. Validation of hub genes through receiver-     differential gene expression analysis, GO enrichment
            operating characteristic curve analysis            analysis, and PPI network analysis were conducted,
                                                               providing essential insights into the cytosolic ribosome
            Receiver-operating characteristic curves were plotted for   mechanism underlying AD and offering a panoramic view
            five genes (RPL12, RPL15, RPL18, RPL19, and RPL27), and   of the molecular landscape of AD. In addition, ribosomal
            corresponding AUC values were calculated to quantify
            the ability of gene expression to discriminate between AD   proteins were revealed as key players in AD, hinting at
                                                               potential connections between protein synthesis processes
            patients (case) and normal individuals (control) (Figure 6).
            The  results  showed  that  the  AUC  values  of  these  genes   and AD pathogenesis. These findings challenge traditional
            varied from 0.73 to 0.86, indicating their moderate to high   paradigms and open new avenues for research on the
                                                               molecular basis of AD.
            discriminatory performance. A  higher AUC value was
            associated with better performance of gene expression in   The differential gene expression analysis identified 732
            discriminating between the two groups. The highest AUC   DEGs in AD, highlighting that extensive genetic alterations
            value (0.86) was observed for RPL18, indicating that RPL18   are associated with the disease. These DEGs may serve as
            may be the most effective and reliable single predictor   potential biomarkers for early diagnosis and novel targets
            among the tested ribosomal proteins for differentiating   for therapeutic interventions. The GO enrichment analysis
            AD  from  normal  status.  The  ROC curves  were located   of these DEGs shed light on the biological functions and
            markedly above the  diagonal line of no discrimination,   pathways impacted in AD, revealing that the prominently
            reflecting a clear distinction between the control and case   enriched biological functions and pathways were related to
            groups. These results underscore the potential of these   neuroinflammation, synaptic transmission, and neuronal
            ribosomal proteins as biomarkers for AD, with varying   development, emphasizing the multifaceted nature of AD
            degrees of sensitivity and specificity.            pathology. These findings form a robust foundation for


            Volume 2 Issue 4 (2024)                         7                                doi: 10.36922/bh.2906
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