Literature DB >> 26604270

Collecting Fecal Samples for Microbiome Analyses in Epidemiology Studies.

Rashmi Sinha1, Jun Chen2, Amnon Amir3, Emily Vogtmann4, Jianxin Shi5, Kristin S Inman6, Roberto Flores7, Joshua Sampson5, Rob Knight8, Nicholas Chia9.   

Abstract

BACKGROUND: The need to develop valid methods for sampling and analyzing fecal specimens for microbiome studies is increasingly important, especially for large population studies.
METHODS: Some of the most important attributes of any sampling method are reproducibility, stability, and accuracy. We compared seven fecal sampling methods [no additive, RNAlater, 70% ethanol, EDTA, dry swab, and pre/post development fecal occult blood test (FOBT)] using 16S rRNA microbiome profiling in two laboratories. We evaluated nine commonly used microbiome metrics: abundance of three phyla, two alpha-diversities, and four beta-diversities. We determined the technical reproducibility, stability at ambient temperature, and accuracy.
RESULTS: Although microbiome profiles showed systematic biases according to sample method and time at ambient temperature, the highest source of variation was between individuals. All collection methods showed high reproducibility. FOBT and RNAlater resulted in the highest stability without freezing for 4 days. In comparison with no-additive samples, swab, FOBT, and 70% ethanol exhibited the greatest accuracy when immediately frozen.
CONCLUSIONS: Overall, optimal stability and reproducibility were achieved using FOBT, making this a reasonable sample collection method for 16S analysis. IMPACT: Having standardized method of collecting and storing stable fecal samples will allow future investigations into the role of gut microbiota in chronic disease etiology in large population studies. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 26604270      PMCID: PMC4821594          DOI: 10.1158/1055-9965.EPI-15-0951

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  31 in total

1.  Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.

Authors:  T Z DeSantis; P Hugenholtz; N Larsen; M Rojas; E L Brodie; K Keller; T Huber; D Dalevi; P Hu; G L Andersen
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

2.  A detailed analysis of 16S ribosomal RNA gene segments for the diagnosis of pathogenic bacteria.

Authors:  Soumitesh Chakravorty; Danica Helb; Michele Burday; Nancy Connell; David Alland
Journal:  J Microbiol Methods       Date:  2007-02-22       Impact factor: 2.363

3.  Influence of DNA extraction method, 16S rRNA targeted hypervariable regions, and sample origin on microbial diversity detected by 454 pyrosequencing in marine chemosynthetic ecosystems.

Authors:  Perrine Cruaud; Adrien Vigneron; Céline Lucchetti-Miganeh; Pierre Emmanuel Ciron; Anne Godfroy; Marie-Anne Cambon-Bonavita
Journal:  Appl Environ Microbiol       Date:  2014-08       Impact factor: 4.792

4.  Noncryogenic preservation of mammalian tissues for DNA extraction: an assessment of storage methods.

Authors:  C William Kilpatrick
Journal:  Biochem Genet       Date:  2002-02       Impact factor: 1.890

Review 5.  Sequencing and beyond: integrating molecular 'omics' for microbial community profiling.

Authors:  Eric A Franzosa; Tiffany Hsu; Alexandra Sirota-Madi; Afrah Shafquat; Galeb Abu-Ali; Xochitl C Morgan; Curtis Huttenhower
Journal:  Nat Rev Microbiol       Date:  2015-04-27       Impact factor: 60.633

6.  Prevalence, incidence, and risk factors of intestinal parasites in Danish primary care patients with irritable bowel syndrome.

Authors:  Anne Line Engsbro; Christen Rune Stensvold; Henrik Vedel Nielsen; Peter Bytzer
Journal:  Scand J Infect Dis       Date:  2013-12-17

7.  Comparison of storage conditions for human vaginal microbiome studies.

Authors:  Guoyun Bai; Pawel Gajer; Melissa Nandy; Bing Ma; Hongqiu Yang; Joyce Sakamoto; May H Blanchard; Jacques Ravel; Rebecca M Brotman
Journal:  PLoS One       Date:  2012-05-24       Impact factor: 3.240

8.  Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms.

Authors:  J Gregory Caporaso; Christian L Lauber; William A Walters; Donna Berg-Lyons; James Huntley; Noah Fierer; Sarah M Owens; Jason Betley; Louise Fraser; Markus Bauer; Niall Gormley; Jack A Gilbert; Geoff Smith; Rob Knight
Journal:  ISME J       Date:  2012-03-08       Impact factor: 10.302

9.  The Earth Microbiome Project: Meeting report of the "1 EMP meeting on sample selection and acquisition" at Argonne National Laboratory October 6 2010.

Authors:  Jack A Gilbert; Folker Meyer; Janet Jansson; Jeff Gordon; Norman Pace; James Tiedje; Ruth Ley; Noah Fierer; Dawn Field; Nikos Kyrpides; Frank-Oliver Glöckner; Hans-Peter Klenk; K Eric Wommack; Elizabeth Glass; Kathryn Docherty; Rachel Gallery; Rick Stevens; Rob Knight
Journal:  Stand Genomic Sci       Date:  2010-12-25

10.  Short pyrosequencing reads suffice for accurate microbial community analysis.

Authors:  Zongzhi Liu; Catherine Lozupone; Micah Hamady; Frederic D Bushman; Rob Knight
Journal:  Nucleic Acids Res       Date:  2007-09-18       Impact factor: 16.971

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  72 in total

1.  Comparison of Collection Methods for Fecal Samples in Microbiome Studies.

Authors:  Emily Vogtmann; Jun Chen; Amnon Amir; Jianxin Shi; Christian C Abnet; Heidi Nelson; Rob Knight; Nicholas Chia; Rashmi Sinha
Journal:  Am J Epidemiol       Date:  2016-12-16       Impact factor: 4.897

Review 2.  Progress of analytical tools and techniques for human gut microbiome research.

Authors:  Eun-Ji Song; Eun-Sook Lee; Young-Do Nam
Journal:  J Microbiol       Date:  2018-09-28       Impact factor: 3.422

Review 3.  Microbiome-wide association studies link dynamic microbial consortia to disease.

Authors:  Jack A Gilbert; Robert A Quinn; Justine Debelius; Zhenjiang Z Xu; James Morton; Neha Garg; Janet K Jansson; Pieter C Dorrestein; Rob Knight
Journal:  Nature       Date:  2016-07-07       Impact factor: 49.962

4.  Power of Microbiome Beta-Diversity Analyses Based on Standard Reference Samples.

Authors:  Mitchell H Gail; Yunhu Wan; Jianxin Shi
Journal:  Am J Epidemiol       Date:  2021-02-01       Impact factor: 4.897

5.  Quantification of Human Microbiome Stability Over 6 Months: Implications for Epidemiologic Studies.

Authors:  Rashmi Sinha; James J Goedert; Emily Vogtmann; Xing Hua; Carolina Porras; Richard Hayes; Mahboobeh Safaeian; Guoqin Yu; Joshua Sampson; Jiyoung Ahn; Jianxin Shi
Journal:  Am J Epidemiol       Date:  2018-06-01       Impact factor: 4.897

Review 6.  Research Strategies for Nutritional and Physical Activity Epidemiology and Cancer Prevention.

Authors:  Somdat Mahabir; Walter C Willett; Christine M Friedenreich; Gabriel Y Lai; Carol J Boushey; Charles E Matthews; Rashmi Sinha; Graham A Colditz; Joseph A Rothwell; Jill Reedy; Alpa V Patel; Michael F Leitzmann; Gary E Fraser; Sharon Ross; Stephen D Hursting; Christian C Abnet; Lawrence H Kushi; Philip R Taylor; Ross L Prentice
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-12-18       Impact factor: 4.254

7.  Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing.

Authors:  Shailesh K Shahi; Kasra Zarei; Natalya V Guseva; Ashutosh K Mangalam
Journal:  J Vis Exp       Date:  2019-10-15       Impact factor: 1.355

8.  Fecal Microbiome in Epidemiologic Studies-Letter.

Authors:  David A Drew; Paul Lochhead; Galeb Abu-Ali; Andrew T Chan; Curtis Huttenhower; Jacques Izard
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-03-09       Impact factor: 4.254

9.  Fecal Microbiome in Epidemiologic Studies-Response.

Authors:  Rashmi Sinha; Emily Vogtmann; Jun Chen; Amnon Amir; Jianxin Shi; Joshua Sampson; Roberto Flores; Rob Knight; Nicholas Chia
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-03-09       Impact factor: 4.254

10.  Shifts in the Fecal Microbiota Associated with Adenomatous Polyps.

Authors:  Vanessa L Hale; Jun Chen; Stephen Johnson; Sean C Harrington; Tracy C Yab; Thomas C Smyrk; Heidi Nelson; Lisa A Boardman; Brooke R Druliner; Theodore R Levin; Douglas K Rex; Dennis J Ahnen; Peter Lance; David A Ahlquist; Nicholas Chia
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-09-26       Impact factor: 4.254

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