Host and microbiome multi-omics integration: applications and methodologies.

Area of Science:

• Microbiology
• Human Health
• Systems Biology

Background:

• The human microbiome, comprising microbial communities, is increasingly recognized for its association with various diseases.
• Conditions such as gastrointestinal, liver, and metabolic diseases are linked to microbiome composition.
• Advanced high-throughput technologies enable comprehensive analysis of the microbiome and its host interactions.

Purpose of the Study:

• To review the integration of host 'omics' data with microbiome data.
• To summarize analytical methods and tools used in these integrated studies.
• To discuss future directions in host-microbiome research.

Main Methods:

• Utilizing high-throughput technologies like next-generation sequencing for metagenome sequencing.
• Employing mass spectrometry-based metabolomics for comprehensive analysis.
• Integrating microbiome data with host genomic, epigenomic, transcriptomic, and metabolic profiles.

Main Results:

• The review highlights the growing importance of the human microbiome in health and disease.
• It details the application of integrating host 'omics' with microbiome data.
• Key analytical methods and tools for such integrated studies are summarized.

Conclusions:

• Integrating host 'omics' with microbiome data is crucial for understanding human health and disease.
• The review provides a summary of current methodologies and future research avenues.
• This integrated approach offers significant potential for advancing personalized medicine and disease treatment.