2017 MICROBIOME IN MOUSE MODELS WORKSHOP REVIEW — BEST PRACTICES

Posted by: | September 5, 2023 | Comments

By Philip Dubé, PhD - Part III: Best Practices for Study Design

This is the third of a three-part recap of Navigating the Challenges of Studying the Microbiome in Mouse Models: Design, Execution and Utility, a sponsored workshop at the 2017 Translational Microbiome Conference.
Part I: Participants and Presentations
Part II: Microbiome Workshop Topics
Part III: Best Practices for Study Design
In this Insight, we will summarize the main findings of workshop presenters and attendees regarding best practices for microbiome study design with in vivo mouse models.

Microbiome Research Best Practices

The Navigating the Challenges of Studying the Microbiome in Mouse Models workshop, sponsored by Taconic Biosciences, brought together leading academic and industry researchers to identify the key considerations, strengths, and weaknesses for studying the microbiome in mouse models.

The panelists and attendees discussed these topics in detail and the main findings are summarized here.
Key findings of the workshop:

The Role of In Vivo Studies Advances in bioinformatics, high-throughput sequencing, and proteomics have dramatically accelerated our understanding of the composition of the microbiome. This wealth of information has generated many insights into how specific microbiome characteristics are associated with health and disease.

Despite these advances, a fundamental limitation of these studies is the inability to identify, confirm, and understand the mechanistic basis of these microbiome linkages with disease. Association studies cannot identify whether microbiome links are truly causative, or are secondary to other pathological processes. We need a better understanding of how the microbiome interacts with the body, and how these processes become perturbed in disease, as well as establishing the causal role of the microbiome in specific conditions.

A key benefit of in vivo studies is the ability to test specific hypotheses regarding the microbiome-host relationship in a controlled and tractable manner. These mechanistic data are critical to identifying new disease mechanisms and targets for therapeutic intervention.

Discover More At: Taconic Biosciences






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