Cargando…

An empirically derived method for measuring human gut microbiome alpha diversity: Demonstrated utility in predicting health-related outcomes among a human clinical sample

The human gut microbiome has emerged as a potential key factor involved in the manifestation of physical and mental health. Despite an explosion of cross-disciplinary interest in researching the gut microbiome, there remains to be a gold-standard method for operationalizing gut microbiome alpha dive...

Descripción completa

Detalles Bibliográficos
Autores principales: Hagerty, Sarah L., Hutchison, Kent E., Lowry, Christopher A., Bryan, Angela D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051054/
https://www.ncbi.nlm.nih.gov/pubmed/32119675
http://dx.doi.org/10.1371/journal.pone.0229204
_version_ 1783502703158099968
author Hagerty, Sarah L.
Hutchison, Kent E.
Lowry, Christopher A.
Bryan, Angela D.
author_facet Hagerty, Sarah L.
Hutchison, Kent E.
Lowry, Christopher A.
Bryan, Angela D.
author_sort Hagerty, Sarah L.
collection PubMed
description The human gut microbiome has emerged as a potential key factor involved in the manifestation of physical and mental health. Despite an explosion of cross-disciplinary interest in researching the gut microbiome, there remains to be a gold-standard method for operationalizing gut microbiome alpha diversity. Given researchers’ interest in examining the relationships among gut microbiome alpha diversity and health-related outcomes of interest, a way of operationalizing the microbiome that yields a numeric value, which could be used in common statistical approaches, is needed. Thus, the current study aims to provide methodological guidance for how to operationalize microbiome alpha diversity. Findings suggest that alpha diversity of the human gut microbiome is comprised of two sub-constructs (richness and evenness), and we propose a step-by-step method of creating alpha diversity composite measures based on this key insight. Finally, we demonstrate that our empirically derived richness and evenness composite measures are significantly associated with health-related variables of interest (alcohol use, symptoms of depression) among a human clinical sample.
format Online
Article
Text
id pubmed-7051054
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-70510542020-03-12 An empirically derived method for measuring human gut microbiome alpha diversity: Demonstrated utility in predicting health-related outcomes among a human clinical sample Hagerty, Sarah L. Hutchison, Kent E. Lowry, Christopher A. Bryan, Angela D. PLoS One Research Article The human gut microbiome has emerged as a potential key factor involved in the manifestation of physical and mental health. Despite an explosion of cross-disciplinary interest in researching the gut microbiome, there remains to be a gold-standard method for operationalizing gut microbiome alpha diversity. Given researchers’ interest in examining the relationships among gut microbiome alpha diversity and health-related outcomes of interest, a way of operationalizing the microbiome that yields a numeric value, which could be used in common statistical approaches, is needed. Thus, the current study aims to provide methodological guidance for how to operationalize microbiome alpha diversity. Findings suggest that alpha diversity of the human gut microbiome is comprised of two sub-constructs (richness and evenness), and we propose a step-by-step method of creating alpha diversity composite measures based on this key insight. Finally, we demonstrate that our empirically derived richness and evenness composite measures are significantly associated with health-related variables of interest (alcohol use, symptoms of depression) among a human clinical sample. Public Library of Science 2020-03-02 /pmc/articles/PMC7051054/ /pubmed/32119675 http://dx.doi.org/10.1371/journal.pone.0229204 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Hagerty, Sarah L.
Hutchison, Kent E.
Lowry, Christopher A.
Bryan, Angela D.
An empirically derived method for measuring human gut microbiome alpha diversity: Demonstrated utility in predicting health-related outcomes among a human clinical sample
title An empirically derived method for measuring human gut microbiome alpha diversity: Demonstrated utility in predicting health-related outcomes among a human clinical sample
title_full An empirically derived method for measuring human gut microbiome alpha diversity: Demonstrated utility in predicting health-related outcomes among a human clinical sample
title_fullStr An empirically derived method for measuring human gut microbiome alpha diversity: Demonstrated utility in predicting health-related outcomes among a human clinical sample
title_full_unstemmed An empirically derived method for measuring human gut microbiome alpha diversity: Demonstrated utility in predicting health-related outcomes among a human clinical sample
title_short An empirically derived method for measuring human gut microbiome alpha diversity: Demonstrated utility in predicting health-related outcomes among a human clinical sample
title_sort empirically derived method for measuring human gut microbiome alpha diversity: demonstrated utility in predicting health-related outcomes among a human clinical sample
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051054/
https://www.ncbi.nlm.nih.gov/pubmed/32119675
http://dx.doi.org/10.1371/journal.pone.0229204
work_keys_str_mv AT hagertysarahl anempiricallyderivedmethodformeasuringhumangutmicrobiomealphadiversitydemonstratedutilityinpredictinghealthrelatedoutcomesamongahumanclinicalsample
AT hutchisonkente anempiricallyderivedmethodformeasuringhumangutmicrobiomealphadiversitydemonstratedutilityinpredictinghealthrelatedoutcomesamongahumanclinicalsample
AT lowrychristophera anempiricallyderivedmethodformeasuringhumangutmicrobiomealphadiversitydemonstratedutilityinpredictinghealthrelatedoutcomesamongahumanclinicalsample
AT bryanangelad anempiricallyderivedmethodformeasuringhumangutmicrobiomealphadiversitydemonstratedutilityinpredictinghealthrelatedoutcomesamongahumanclinicalsample
AT hagertysarahl empiricallyderivedmethodformeasuringhumangutmicrobiomealphadiversitydemonstratedutilityinpredictinghealthrelatedoutcomesamongahumanclinicalsample
AT hutchisonkente empiricallyderivedmethodformeasuringhumangutmicrobiomealphadiversitydemonstratedutilityinpredictinghealthrelatedoutcomesamongahumanclinicalsample
AT lowrychristophera empiricallyderivedmethodformeasuringhumangutmicrobiomealphadiversitydemonstratedutilityinpredictinghealthrelatedoutcomesamongahumanclinicalsample
AT bryanangelad empiricallyderivedmethodformeasuringhumangutmicrobiomealphadiversitydemonstratedutilityinpredictinghealthrelatedoutcomesamongahumanclinicalsample