எங்கள் குழு ஒவ்வொரு ஆண்டும் அமெரிக்கா, ஐரோப்பா மற்றும் ஆசியா முழுவதும் 1000 அறிவியல் சங்கங்களின் ஆதரவுடன் 3000+ உலகளாவிய மாநாட்டுத் தொடர் நிகழ்வுகளை ஏற்பாடு செய்து 700+ திறந்த அணுகல் இதழ்களை வெளியிடுகிறது, இதில் 50000 க்கும் மேற்பட்ட தலைசிறந்த ஆளுமைகள், புகழ்பெற்ற விஞ்ஞானிகள் ஆசிரியர் குழு உறுப்பினர்களாக உள்ளனர்.
அதிக வாசகர்கள் மற்றும் மேற்கோள்களைப் பெறும் திறந்த அணுகல் இதழ்கள்
700 இதழ்கள் மற்றும் 15,000,000 வாசகர்கள் ஒவ்வொரு பத்திரிகையும் 25,000+ வாசகர்களைப் பெறுகிறது
Amos Sematiba
The WHO objective of eradicating tuberculosis (TB) by 2050 can be achieved by developing more potent anti-TB vaccinations and enhanced preventative medicines against endogenous reactivation of latent TB. What are the factors that lead to a robust memory response after an initial infection? is one of the most important relevant outstanding questions in TB research. ii) How can cytokines contribute to a memory response that is protective against a secondary infection? iii) What are the mechanisms causing the elderly to have a higher risk of reactivation? We looked at a computational model of the immune response to Mycobacterium tuberculosis, which included a mathematical explanation of immunosenescence and the creation and maintenance of immune memory, to try to answer these questions. Key processes governing TB reactivation and immunological memory were identified through the application of sensitivity analysis techniques, thorough model characterization, and in-silico studies. The following model projections sum up the study’s key findings: Tumor Necrosis Factor (TNF) levels during primary infection are associated with increased memory protection strength and duration; production of TNF, but not interferon, by memory T cells during secondary infection is a major factor in effective protection; and impaired CD4+ T cell recruitment may encourage the reactivation of latent TB infections in ageing hosts. In this work, immunosenescence and memory are taken into account in an effort to understand the immunological dynamics of a persistent infection over the course of the host’s lifetime. Even though the model is particular to tuberculosis, the findings are transferable to other persistent bacterial diseases and can help with the creation, assessment, and improvement of TB treatment and/or immunization regimens.