PURPOSE OF REVIEW: We describe different methods for microbiome assessment and analysis and highlight some of the challenges of using omics data in epidemiologic studies of adverse pregnancy outcomes. RECENT FINDINGS: Human microbiomes are dynamic and vary by ancestry and geography. The composition and dynamics of the vaginal microbiome has been associated with risk of preterm birth. SUMMARY: There are several different methods for characterizing the microbiome. Choice of method depends on the research question and resources available. Added to known challenges of conducting and analyzing epidemiologic studies are the unique challenges associated with microbiome detection and analysis. The resulting omics assessments of human microbial communities have great potential to identify prognostics, diagnostics and potentially therapeutics for adverse pregnancy outcomes.
PURPOSE OF REVIEW: We describe different methods for microbiome assessment and analysis and highlight some of the challenges of using omics data in epidemiologic studies of adverse pregnancy outcomes. RECENT FINDINGS: Human microbiomes are dynamic and vary by ancestry and geography. The composition and dynamics of the vaginal microbiome has been associated with risk of preterm birth. SUMMARY: There are several different methods for characterizing the microbiome. Choice of method depends on the research question and resources available. Added to known challenges of conducting and analyzing epidemiologic studies are the unique challenges associated with microbiome detection and analysis. The resulting omics assessments of human microbial communities have great potential to identify prognostics, diagnostics and potentially therapeutics for adverse pregnancy outcomes.
Authors: Jacques Ravel; Pawel Gajer; Zaid Abdo; G Maria Schneider; Sara S K Koenig; Stacey L McCulle; Shara Karlebach; Reshma Gorle; Jennifer Russell; Carol O Tacket; Rebecca M Brotman; Catherine C Davis; Kevin Ault; Ligia Peralta; Larry J Forney Journal: Proc Natl Acad Sci U S A Date: 2010-06-03 Impact factor: 11.205
Authors: Richard W Hyman; Marilyn Fukushima; Hui Jiang; Eula Fung; Larry Rand; Brittni Johnson; Kim Chi Vo; Aaron B Caughey; Joan F Hilton; Ronald W Davis; Linda C Giudice Journal: Reprod Sci Date: 2013-05-28 Impact factor: 3.060
Authors: Pawel Gajer; Rebecca M Brotman; Guoyun Bai; Joyce Sakamoto; Ursel M E Schütte; Xue Zhong; Sara S K Koenig; Li Fu; Zhanshan Sam Ma; Xia Zhou; Zaid Abdo; Larry J Forney; Jacques Ravel Journal: Sci Transl Med Date: 2012-05-02 Impact factor: 17.956
Authors: Xia Zhou; Melanie A Hansmann; Catherine C Davis; Haruo Suzuki; Celeste J Brown; Ursel Schütte; Jacob D Pierson; Larry J Forney Journal: FEMS Immunol Med Microbiol Date: 2009-10-03
Authors: Daniela S Aliaga Goltsman; Christine L Sun; Diana M Proctor; Daniel B DiGiulio; Anna Robaczewska; Brian C Thomas; Gary M Shaw; David K Stevenson; Susan P Holmes; Jillian F Banfield; David A Relman Journal: Genome Res Date: 2018-09-19 Impact factor: 9.043