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Punnakkal, P.

Publications and source records attributed to Punnakkal, P..

2 recordsLinked to original sources

Network Topology reveals disrupted AMPA receptor stabilization leads to an impaired LTD in epileptic synapses

Cognitive comorbidities in epilepsy patients may be the result of synaptic alterations and impaired synaptic signalling. Electrophysiological evidence demonstrates that epileptic synapses undergo a GluN2B-dependent metaplastic shift, where a low-frequency stimulation protocol unexpectedly induced long-term potentiation (LTP) rather than long-term depression (LTD). However, the downstream postsynaptic structural cascade responsible for this functional impairment remains unresolved. To elucidate the molecular architecture driving this shift, this study employed an in silico protein-protein interaction network approach using Cystoscape. A baseline intersection network of LTD and epilepsy-associated genes were constructed, anchored with GRIN2B, and topologically ranked to identify hub proteins. This analysis identified a core module biased toward synaptic potentiation, dominated by the kinase CAMK2A, AMPA receptor subunits, and auxiliary Transmembrane AMPA Receptor Regulatory Proteins (TARPs) and CNIH2. These provided a structural basis for the prolonged receptor retention and delayed deactivation kinetics characteristic of epileptic synapses. Mapping the LTD-execution machinery against this interactome revealed that calcineurin was topologically segregated and lacks direct connectivity from the central AMPA receptor complex. Further studies would be required to test and confirm the involvement of these proteins. To experimentally validate these in silico findings, human transcriptomic data from cortical and hippocampal tissues of drug-resistant epilepsy patients was also analyzed which confirmed the significant upregulation of CNIH2 and CACNG2 in both tissue types. The cross-validation with patient transcriptomic data, demonstrated that the epileptic synapse undergoes a pathological shift. Hence, the upregulation of the auxiliary proteins functionally overpowers the established LTD machinery and prevents LTD consolidation.

neuroscience↗

COVID-19 ORF3a Viroporin Influenced Common and Unique Cellular Signalling Cascades in Lung, Heart and Brain Choroid Plexus Organoids with Additional Enriched MicroRNA Network Analyses for Lung and Brain Tissues

Tissue specific implications of SARS-CoV-2 encoded accessory proteins are not fully understood. SARS-CoV-2 infection can severely affect three major organs - the heart, lung, and brain. We analysed SARS-CoV-2 ORF3a interacting host proteins in these three major organs. Further we identified common and unique interacting host proteins, their targeting miRNAs (lung and brain), and delineated associated biological processes reanalysing RNA-seq data from the brain (COVID-19 infected/uninfected Choroid Plexus Organoids study), lung tissue from COVID-19 patients/healthy subjects, and cardiomyocyte cells based transcriptomics analyses. Our in silico studies showed ORF3a interacting proteins could vary depending upon tissues. Number of unique ORF3a interacting proteins in brain, lung and heart were 10, 7 and 1 respectively. Though common pathways influenced by SARS-CoV-2 infection were more, unique 21 brain and 7 heart pathways were found. One unique pathway for heart was negative regulation of calcium ion transport. Reported observations of COVID-19 patients with the history of hypertension taking calcium channel blockers (CCBs) or dihydorpyridine CCBs had elevated rate of intubation or increased rate of intubation/death respectively. Also likelihood of hospitalization of chronic CCB users with COVID-19 was more in comparison to long term Angiotensin Converting Enzyme inhibitors/Angiotensin Receptor Blockers users. Further studies are necessary to confirm this. miRNA analysis of ORF3a interacting proteins in brain and lung revealed, 2 of 37 brain miRNAs and 1 of 25 lung miRNAs with high degree and betweenness indicating their significance as hubs in the interaction network. Our study could help in identifying potential tissue specific COVID-19 drug/drug repurposing targets.

bioinformatics↗