Literature DB >> 24751579

Analyzing the human microbiome: a "how to" guide for physicians.

Andrea D Tyler1, Michelle I Smith2, Mark S Silverberg1.   

Abstract

The application of high-throughput next-generation sequencing to the analysis of the human microbiome has led to a shift in our understanding of the etiology of complex diseases. In consequence, a great deal of literature can now be found exploring this complex system, and reviewing recent findings. Observations of alterations in the intestinal microbiome associating with inflammatory bowel disease and other chronic conditions are well supported and have been widely accepted by the research community. Yet, it can be difficult to objectively evaluate the importance of these results, given the wide variety of methodologies applied by different groups in the field. The aim of this review is to focus attention on the basic principles involved in microbiome analyses, and to describe factors that may have an impact on the accurate interpretation of results.

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Year:  2014        PMID: 24751579     DOI: 10.1038/ajg.2014.73

Source DB:  PubMed          Journal:  Am J Gastroenterol        ISSN: 0002-9270            Impact factor:   10.864


  26 in total

1.  Microbiome as mediator: Do systemic infections start in the gut?

Authors:  Melissa Latorre; Suneeta Krishnareddy; Daniel E Freedberg
Journal:  World J Gastroenterol       Date:  2015-10-07       Impact factor: 5.742

Review 2.  The effects of inulin on gut microbial composition: a systematic review of evidence from human studies.

Authors:  Quentin Le Bastard; Guillaume Chapelet; François Javaudin; Didier Lepelletier; Eric Batard; Emmanuel Montassier
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2019-11-09       Impact factor: 3.267

3.  Gut microbiota composition associated with alterations in cardiorespiratory fitness and psychosocial outcomes among breast cancer survivors.

Authors:  Jesseca A Paulsen; Travis S Ptacek; Stephen J Carter; Nianjun Liu; Ranjit Kumar; LaKeshia Hyndman; Elliot J Lefkowitz; Casey D Morrow; Laura Q Rogers
Journal:  Support Care Cancer       Date:  2017-01-07       Impact factor: 3.603

4.  A two-part mixed-effects model for analyzing longitudinal microbiome compositional data.

Authors:  Eric Z Chen; Hongzhe Li
Journal:  Bioinformatics       Date:  2016-05-14       Impact factor: 6.937

5.  Assessing the Relationship Between Nitrate-Reducing Capacity of the Oral Microbiome and Systemic Outcomes.

Authors:  Charlene E Goh; Bruno Bohn; Ryan T Demmer
Journal:  Methods Mol Biol       Date:  2021

Review 6.  Microbiome Changes during Tuberculosis and Antituberculous Therapy.

Authors:  Bo-Young Hong; Nancy Paula Maulén; Alexander J Adami; Hector Granados; María Elvira Balcells; Jorge Cervantes
Journal:  Clin Microbiol Rev       Date:  2016-09-08       Impact factor: 26.132

Review 7.  Intricacies of assessing the human microbiome in epidemiologic studies.

Authors:  Courtney K Robinson; Rebecca M Brotman; Jacques Ravel
Journal:  Ann Epidemiol       Date:  2016-04-12       Impact factor: 3.797

8.  Characterization of Intestinal Microbiota in Ulcerative Colitis Patients with and without Primary Sclerosing Cholangitis.

Authors:  D Kevans; A D Tyler; K Holm; K K Jørgensen; M H Vatn; T H Karlsen; G G Kaplan; B Eksteen; D Gevers; J R Hov; M S Silverberg
Journal:  J Crohns Colitis       Date:  2015-11-02       Impact factor: 9.071

Review 9.  The gut microbiota of nonalcoholic fatty liver disease: current methods and their interpretation.

Authors:  Niels van Best; Peter L Jansen; Sander S Rensen
Journal:  Hepatol Int       Date:  2015-06-12       Impact factor: 6.047

Review 10.  Microbiome analysis - from technical advances to biological relevance.

Authors:  Michelle I Smith; Williams Turpin; Andrea D Tyler; Mark S Silverberg; Kenneth Croitoru
Journal:  F1000Prime Rep       Date:  2014-07-08
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