Integrative genomics important to understand host-pathogen interactions

Infectious diseases are the leading cause of morbidity and mortality worldwide. Causative pathogenic microbes readily mutate their genome and lead to outbreaks, challenging the healthcare and the medical support. Understanding how certain symptoms manifest clinically is integral for therapeutic decisions and vaccination efficacy/protection. Notably, the interaction between infecting pathogens, host response and co-presence of microbes influence the trajectories of disease progression and clinical outcome. The spectrum of observed symptomatic patients (mild, moderate and severe) and the asymptomatic infections highlight the challenges and the potential for understanding the factors driving protection/susceptibility. With the increasing repertoire of high-throughput tools, such as cutting-edge multi-omics profiling and next-generation sequencing, genetic drivers of factors linked to heterogeneous disease presentations can be investigated in tandem. However, such strategies are not without limits in terms of effectively integrating host-pathogen interactions. Nonetheless, an integrative genomics method (for example, RNA sequencing data) for exploring multiple layers of complexity in host-pathogen interactions could be another way to incorporate findings from high-throughput data. We further propose that a Holo-transcriptome-based technique to capture transcriptionally active microbial units can be used to elucidate functional microbiomes. Thus, we provide holistic perspective on investigative methodologies that can harness the same genomic data to investigate multiple seemingly independent but deeply interconnected functional domains of host-pathogen interaction that modulate disease severity and clinical outcomes.

Automated summary

Infectious diseases are the leading cause of morbidity and mortality worldwide. Understanding the complex interaction between infecting pathogens, host response, and microbial presence is crucial for determining disease severity and outcomes. High-throughput tools like multi-omics profiling and next-generation sequencing can help identify genetic factors associated with different disease presentations. However, integrating host-pathogen interactions remains a challenge. An integrative genomics method, such as RNA sequencing, can provide insights into the complexity of these interactions. Additionally, a holo-transcriptome-based technique can be used to explore functional microbiomes. This holistic approach allows for a comprehensive understanding of the interconnected domains that influence disease severity and clinical outcomes.