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The Gut-Brain Axis, the Human Gut Microbiota and Their Integration in the Development of Obesity

Obesity is a global epidemic, placing socioeconomic strain on public healthcare systems, especially within the so-called Western countries, such as Australia, United States, United Kingdom, and Canada. Obesity results from an imbalance between energy intake and energy expenditure, where energy intak...

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Detalles Bibliográficos
Autores principales: Bliss, Edward S., Whiteside, Eliza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6052131/
https://www.ncbi.nlm.nih.gov/pubmed/30050464
http://dx.doi.org/10.3389/fphys.2018.00900
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author Bliss, Edward S.
Whiteside, Eliza
author_facet Bliss, Edward S.
Whiteside, Eliza
author_sort Bliss, Edward S.
collection PubMed
description Obesity is a global epidemic, placing socioeconomic strain on public healthcare systems, especially within the so-called Western countries, such as Australia, United States, United Kingdom, and Canada. Obesity results from an imbalance between energy intake and energy expenditure, where energy intake exceeds expenditure. Current non-invasive treatments lack efficacy in combating obesity, suggesting that obesity is a multi-faceted and more complex disease than previously thought. This has led to an increase in research exploring energy homeostasis and the discovery of a complex bidirectional communication axis referred to as the gut-brain axis. The gut-brain axis is comprised of various neurohumoral components that allow the gut and brain to communicate with each other. Communication occurs within the axis via local, paracrine and/or endocrine mechanisms involving a variety of gut-derived peptides produced from enteroendocrine cells (EECs), including glucagon-like peptide 1 (GLP1), cholecystokinin (CCK), peptide YY(3−36) (PYY), pancreatic polypeptide (PP), and oxyntomodulin. Neural networks, such as the enteric nervous system (ENS) and vagus nerve also convey information within the gut-brain axis. Emerging evidence suggests the human gut microbiota, a complex ecosystem residing in the gastrointestinal tract (GIT), may influence weight-gain through several inter-dependent pathways including energy harvesting, short-chain fatty-acids (SCFA) signalling, behaviour modifications, controlling satiety and modulating inflammatory responses within the host. Hence, the gut-brain axis, the microbiota and the link between these elements and the role each plays in either promoting or regulating energy and thereby contributing to obesity will be explored in this review.
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spelling pubmed-60521312018-07-26 The Gut-Brain Axis, the Human Gut Microbiota and Their Integration in the Development of Obesity Bliss, Edward S. Whiteside, Eliza Front Physiol Physiology Obesity is a global epidemic, placing socioeconomic strain on public healthcare systems, especially within the so-called Western countries, such as Australia, United States, United Kingdom, and Canada. Obesity results from an imbalance between energy intake and energy expenditure, where energy intake exceeds expenditure. Current non-invasive treatments lack efficacy in combating obesity, suggesting that obesity is a multi-faceted and more complex disease than previously thought. This has led to an increase in research exploring energy homeostasis and the discovery of a complex bidirectional communication axis referred to as the gut-brain axis. The gut-brain axis is comprised of various neurohumoral components that allow the gut and brain to communicate with each other. Communication occurs within the axis via local, paracrine and/or endocrine mechanisms involving a variety of gut-derived peptides produced from enteroendocrine cells (EECs), including glucagon-like peptide 1 (GLP1), cholecystokinin (CCK), peptide YY(3−36) (PYY), pancreatic polypeptide (PP), and oxyntomodulin. Neural networks, such as the enteric nervous system (ENS) and vagus nerve also convey information within the gut-brain axis. Emerging evidence suggests the human gut microbiota, a complex ecosystem residing in the gastrointestinal tract (GIT), may influence weight-gain through several inter-dependent pathways including energy harvesting, short-chain fatty-acids (SCFA) signalling, behaviour modifications, controlling satiety and modulating inflammatory responses within the host. Hence, the gut-brain axis, the microbiota and the link between these elements and the role each plays in either promoting or regulating energy and thereby contributing to obesity will be explored in this review. Frontiers Media S.A. 2018-07-12 /pmc/articles/PMC6052131/ /pubmed/30050464 http://dx.doi.org/10.3389/fphys.2018.00900 Text en Copyright © 2018 Bliss and Whiteside. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Bliss, Edward S.
Whiteside, Eliza
The Gut-Brain Axis, the Human Gut Microbiota and Their Integration in the Development of Obesity
title The Gut-Brain Axis, the Human Gut Microbiota and Their Integration in the Development of Obesity
title_full The Gut-Brain Axis, the Human Gut Microbiota and Their Integration in the Development of Obesity
title_fullStr The Gut-Brain Axis, the Human Gut Microbiota and Their Integration in the Development of Obesity
title_full_unstemmed The Gut-Brain Axis, the Human Gut Microbiota and Their Integration in the Development of Obesity
title_short The Gut-Brain Axis, the Human Gut Microbiota and Their Integration in the Development of Obesity
title_sort gut-brain axis, the human gut microbiota and their integration in the development of obesity
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6052131/
https://www.ncbi.nlm.nih.gov/pubmed/30050464
http://dx.doi.org/10.3389/fphys.2018.00900
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