The field of systems immunology and translational research in infectious diseases has seen significant advancements due to the rapid development of omics technologies and systems biology. These advancements have enabled a more comprehensive understanding of the complex interactions within the immune system and their influence on disease progression and treatment outcomes. Despite these advancements, there remain critical gaps in our understanding of how these interactions can be leveraged to predict disease susceptibility, course, and response to treatment. Recent studies have highlighted the potential of genomic sequencing to identify genetic variations in both pathogens and hosts that affect disease dynamics. However, the integration of proteomic and metabolomic profiling with clinical and environmental data through computational tools and artificial intelligence is still in its nascent stages. This integration is crucial for modeling disease behaviors and treatment scenarios, yet it requires further exploration to fully realize its potential in revolutionizing the management of infectious diseases.
This research topic aims to explore the convergence of systems immunology, genomics, proteomics, and metabolomics with translational research to enhance our understanding and management of infectious diseases. The main objectives include uncovering new biomarkers and molecular pathways that can predict disease susceptibility, course, and response to treatment. Additionally, the research seeks to apply genomic sequencing to identify pathogen and host genetic variations, utilize proteomic and metabolomic profiling to understand host-response mechanisms, and integrate this information with clinical and environmental data to model disease behaviors and treatment scenarios. Ultimately, the goal is to tailor prevention, diagnostic, and therapeutic strategies to individual patient profiles, thereby advancing precision medicine in infectious disease management.
To gather further insights in the broad yet focused scope of systems immunology and translational research in infectious diseases, we welcome articles addressing, but not limited to, the following themes:
- Advances in infectious disease diagnostics through integrated clinical data and systems immunology.
- Application of precision medicine principles to public health by predicting disease outbreaks and tailoring interventions to populations based on immunological, genetic, environmental, and social factors.
- Development of personalized therapeutics, using insights from systems immunology.
- Integration of omics data with computational tools and AI to model disease behaviors and treatment scenarios.
- Identification of new biomarkers and molecular pathways influencing disease progression and treatment outcomes.
Keywords: systems immunology, infectious diseases, omics technologies, translational research, genomics, proteomics, metabolomics.
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
