Advances in immunomodulation: From dietary influence to computational precision

Supraja Mohan1, Prasanna Kumar Selvam1, Karthick Vasudevan1

  • 1Manipal Academy of Higher Education (MAHE), Manipal, India; Institute of Bioinformatics, International Technology Park, Bangalore, India.

Immunomodulators are bioactive agents that play a crucial role in modulating immune responses, making them essential for managing autoimmune disorders, infections, and cancers. This chapter provides a thorough examination of immunomodulators, highlighting their clinical importance and therapeutic potential. It begins with an overview of immunomodulators and their applications, followed by a detailed classification into two primary categories: immunosuppressants and immunostimulants. Additionally, the chapter explores the influence of dietary and lifestyle factors on immunomodulation, emphasizing how specific nutritional components can enhance or suppress immune function, ultimately affecting health outcomes. The integration of computational approaches in immunomodulation is discussed, particularly focusing on the interactions between immunomodulators and the gut microbiome. This section underscores the significance of computational modeling and data analytics, including Artificial Intelligence (AI) and Machine Learning (ML), for predicting therapeutic efficacy and optimizing treatment strategies. Challenges and limitations are critically assessed, addressing the complexities of immune system interactions and the variability in individual responses to immunomodulatory therapies. The chapter concludes with future directions in the field, advocating for continued research to fully unlock the potential of immunotherapeutic interventions. This comprehensive review aims to clarify the interplay between dietary factors, computational advancements, and immunological strategies, ultimately contributing to the development of more effective and personalized therapeutic approaches in immunomodulation.

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