SEP 12, 2019 12:00 PM PDT

Multi-Omic Approaches for the Study of Vaginal Microbial Communities

C.E. Credits: P.A.C.E. CE Florida CE
Speaker
  • Assistant Professor & Director, Dept. of Microbiology & Immunology, Dept. of Obstetrics & Gynecology, Research Alliance for Microbiome Science Registry, Virginia Commonwealth University
    Biography
      Jennifer M. Fettweis, Ph.D. is the founder and director of the Research Alliance for Microbiome Science (RAMS) Registry and assistant professor in the Departments of Microbiology and Immunology and Obstetrics and Gynecology at Virginia Commonwealth University. From 2009-2019, she served as the project director for two projects funded through the NIH's Human Microbiome Project: the Vaginal Human Microbiome Project (VaHMP) and the Multi-Omic Microbiome Study: Pregnancy Initiative (MOMS-PI). Dr. Fettweis was awarded a B.A. in Mathematics and Economics from the University of Virginia and a Ph.D. in Microbiology and Immunology from Virginia Commonwealth University. As an international leader in the microbiome science, Dr. Fettweis studies how the microbiome impacts risk for pregnancy complications with a focus on the microbiome's influence on health disparities. She also investigates how human health is influenced by the transmission of the microbiome from mother to child and across generations.

    Abstract

    Vaginal microbial communities play an important role in women’s heath.  It is now clear that the vaginal microbiome is linked to pregnancy complications such as preterm birth and risk for acquisition of sexually transmitted infections including HIV.  The relative simplicity of the vaginal microbiome also makes it an ideal system for piloting new for multi-omic assays and new integrative analytical methods. Multi-omic approaches include 16S rRNA surveys, metagenomics, metatranscriptomics, metaproteomics and metabolomics. New approaches and technologies are rapidly advancing the frontiers of our understanding of host-microbiome interactions. Further efforts to limit sources of bias and increase harmonization across studies are critical for the validation of findings to inform evidence-based medicine.

    Learning Objectives

    1. Identify commonly used multi-omic approaches.

    2: Describe the current challenges and opportunities in multi-omic science.


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