Universiti Tunku Abdul Rahman

Treeshrews, which share a closer common ancestor with primates and flying lemurs than with rodents, have been proposed as a better animal model for biomedical research compared to traditional rodent models. Zoonotic viruses like Mammalian orthoreovirus (MRV) pose potential public health risks, but their prevalence and characteristics in treeshrews remain underexplored. This study reports the first isolation of a novel MRV from common treeshrews (Tupaia glis) in Malaysia and investigates its biological properties. Faecal and urine samples from common treeshrews were collected and processed through centrifugation and sterile filtration. The processed samples were inoculated into mammalian cell cultures for virus isolation using a novel virus isolation protocol. The isolated virus was sequenced and analysed phylogenetically. A novel MRV, designated MRV1UNM, was isolated and identified as MRV serotype 3 (MRV3) with a unique genomic profile. Syncytial formation was observed in Vero cells during early passages only. MRV1UNM infected a broad spectrum of cell lines, including some cancer cells, causing cell lysis within days without establishing persistent infections. Moreover, increased caspase 3/7 activity was also observed in the infected A549 cells. These findings provide evidence of the oncolytic potential of MRV1UNM. In conclusion, this study reports the first isolation of MRV from Malaysian treeshrews, highlighting their role as potential reservoirs for zoonotic viruses. The promising potential of MRV1UNM as a candidate for oncolytic virotherapy warrants further investigation into its therapeutic applications.

In this study, we analyze the anisotropic universe in f(Q,C) gravity theory.To achieve this, we consider three specific models of f(Q,C) gravity and rewrite the equations of motion of each model as an autonomous system.We identify and analyze the critical points, examine their stability, and plot phase portraits to illustrate the behavior of each critical point.The evolution of key parameters, including the equation of state (EoS) parameter w_eff, the deceleration parameter q, and the standard d. parameters Ω_m and Ω_DE, is thoroughly investigated.The anisotropic dynamical variable exhibits decelerated behavior, consistent with the early universe, while the others demonstrate accelerated behavior, aligned with late-time observations across all models.

MicroRNAs (miRNAs) are critical regulators of stroke pathophysiology, influencing neuroinflammation, neuronal survival, and post-stroke recovery. This study presents a comprehensive bibliometric analysis of 1,988 miRNA-stroke research articles published over the past 42 years, mapping the intellectual landscape, emerging research hotspots, and future directions within the field. Using Python, VOSviewer, and CiteSpace, we identified influential studies, leading authors, collaborative networks, and key thematic clusters that are advancing research. Our analysis highlights several emerging hotspots, including exosomal miRNA biomarkers for stroke diagnosis, miRNA-based therapeutics, and regulatory networks involving circRNAs and lncRNAs, which present promising avenues for precision medicine. Citation burst and timeline analyses highlight the growing focus on miRNA-targeted interventions, epigenetic modifications, and neuroprotective strategies, which are rapidly shaping the evolution of stroke research. Importantly, we emphasize the need for increased research in human-based studies to validate these findings and ensure clinical applicability. This study provides a structured framework to guide future research efforts, promoting international collaboration and bridging the gap between fundamental discoveries and the clinical translation of miRNA-based diagnostics and therapeutics in stroke.