Predicting Future Pandemics and Formulating Prevention Strategies: The Role of ChatGPT.

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in late 2019 and its subsequent worldwide spread has emphasized the urgent need for better approaches for predicting and managing infectious disease outbreaks. One potential instrument in this effort is artificial intelligence (AI), and in specific, language models like ChatGPT (Chat Generative Pre-trained Transformer). In the present study, to explore how ChatGPT could predict future pandemics and give suggestions about the prevention strategy, our research team chatted with ChatGPT with several questions on July 12, 2023. Based on our conversation, we can conclude that AI is not a substitute for human expertise, but an adjunct to support early prediction, prevention, and management of future pandemics.

SELEX based aptamers with diagnostic and entry inhibitor therapeutic potential for SARS-CoV-2.

Frequent mutation and variable immunological protection against vaccination is a common feature for COVID-19 pandemic. Early detection and confinement remain key to controlling further spread of infection. In response, we have developed an aptamer-based system that possesses both diagnostic and therapeutic potential towards the virus. A random aptamer library (~ 1017 molecules) was screened using systematic evolution of ligands by exponential enrichment (SELEX) and aptamer R was identified as a potent binder for the SARS-CoV-2 spike receptor binding domain (RBD) using in vitro binding assay. Using a pseudotyped viral entry assay we have shown that aptamer R specifically inhibited the entry of a SARS-CoV-2 pseudotyped virus in HEK293T-ACE2 cells but did not inhibit the entry of a Vesicular Stomatitis Virus (VSV) glycoprotein (G) pseudotyped virus, hence establishing its specificity towards SARS-CoV-2 spike protein. The antiviral potential of aptamers R and J (same central sequence as R but lacking flanked primer regions) was tested and showed 95.4% and 82.5% inhibition, respectively, against the SARS-CoV-2 virus. Finally, intermolecular interactions between the aptamers and the RBD domain were analyzed using in silico docking and molecular dynamics simulations that provided additional insight into the binding and inhibitory action of aptamers R and J.

Prevalence of Oral Lesions and Its Associated Risk Factors Among PLHIV Availing Anti-Retroviral Therapy from a Selected Tertiary Care Hospital, Puducherry - A Cross Sectional Analytical Study.

Background and Objectives: Oral lesions are among the earliest and most important indicators of infection with human immunodeficiency virus (HIV). The presence of oral lesions has a significant impact on the physical and mental health of the PLHIV. Hence, a novel attempt is made to assess the prevalence of various types of oral lesions among the adult people living with human immunodeficiency virus (PLHIV) undergoing antiretroviral therapy. Methodology: In this facility-based cross-sectional study, a total of 239 out of 300 eligible PLHIV were assessed between September and October 2018. All consecutive eligible patients encountered during the data collection period were included. Oral examination was carried out using disposable mouth mirrors, sterile piece of cotton, and bright illuminated torch. Results: The prevalence of oral mucosal abnormalities was found to be 25% (95% confidence interval: 20.03-30.97). The most prevalent oral lesions were acute necrotizing ulcerative gingivitis, acute necrotizing ulcerative periodontitis, and candidiasis. CD4 count <200 cells/mm3, current tobacco use, and alcohol usage were significantly associated with the prevalence of oral lesions. Conclusion and Recommendations: The study revealed that one-fourth of the study participants had oral lesions. Strategies for early detection and prompt treatment of oral lesions need to be planned and incorporated in the program to reduce the morbidity due to oral lesions.