The gut microbiome in health and in disease DOI

Andrew B. Shreiner,

John Y. Kao, Vincent B. Young

et al.

Current Opinion in Gastroenterology, Journal Year: 2014, Volume and Issue: 31(1), P. 69 - 75

Published: Nov. 12, 2014

Recent technological advancements and expanded efforts have led to a tremendous growth in the collective knowledge of human microbiome. This review will highlight some important recent findings this area research.Studies described structure functional capacity bacterial microbiome healthy state variety disease states. Downstream analyses interactions between host its are starting provide mechanistic insights into these interactions. These data anticipated lead new opportunities for diagnosis, prognosis, treatment diseases.There is fast growing collection describing conditions available research community consideration further exploration. Ongoing characterize functions mechanisms underlying host-microbe better understanding role health disease.

Language: Английский

The Role of Short-Chain Fatty Acids From Gut Microbiota in Gut-Brain Communication DOI Creative Commons
Ygor Parladore Silva, Andressa Bernardi, Rudimar Luiz Frozza

et al.

Frontiers in Endocrinology, Journal Year: 2020, Volume and Issue: 11

Published: Jan. 31, 2020

A substantial body of evidence supports that the gut microbiota plays a pivotal role in regulation metabolic, endocrine and immune functions. In recent years, there has been growing recognition involvement modulation multiple neurochemical pathways through highly interconnected gut-brain axis. Although amazing scientific breakthroughs over last few years have expanded our knowledge on communication between microbes their hosts, underpinnings microbiota-gut-brain crosstalk remain to be determined. Short-chain fatty acids (SCFAs), main metabolites produced colon by bacterial fermentation dietary fibers resistant starch, are speculated play key neuro-immunoendocrine regulation. However, underlying mechanisms which SCFAs might influence brain physiology behavior not fully elucidated. this review, we will outline current about interactions. We also highlight how development future treatments for central nervous system (CNS) disorders can take advantage intimate mutual interactions with exploring function.

Language: Английский

Citations

1972

Microbiota-Generated Metabolites Promote Metabolic Benefits via Gut-Brain Neural Circuits DOI Creative Commons
Filipe De Vadder, Petia Kovatcheva‐Datchary,

Daisy Goncalves

et al.

Cell, Journal Year: 2014, Volume and Issue: 156(1-2), P. 84 - 96

Published: Jan. 1, 2014

Language: Английский

Citations

1908

Diet–microbiota interactions as moderators of human metabolism DOI
Justin L. Sonnenburg, Fredrik Bäckhed

Nature, Journal Year: 2016, Volume and Issue: 535(7610), P. 56 - 64

Published: July 5, 2016

Language: Английский

Citations

1908

The Impact of Dietary Fiber on Gut Microbiota in Host Health and Disease DOI Creative Commons

Kassem Makki,

Edward C. Deehan, Jens Walter

et al.

Cell Host & Microbe, Journal Year: 2018, Volume and Issue: 23(6), P. 705 - 715

Published: June 1, 2018

Language: Английский

Citations

1905

Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota DOI
Sofia K. Forslund, Falk Hildebrand, Trine Nielsen

et al.

Nature, Journal Year: 2015, Volume and Issue: 528(7581), P. 262 - 266

Published: Dec. 1, 2015

Language: Английский

Citations

1873

An integrated catalog of reference genes in the human gut microbiome DOI
Junhua Li, Huijue Jia,

Xianghang Cai

et al.

Nature Biotechnology, Journal Year: 2014, Volume and Issue: 32(8), P. 834 - 841

Published: July 6, 2014

Language: Английский

Citations

1871

Gut bacteria selectively promoted by dietary fibers alleviate type 2 diabetes DOI Open Access
Liping Zhao, Feng Zhang, Xiaoying Ding

et al.

Science, Journal Year: 2018, Volume and Issue: 359(6380), P. 1151 - 1156

Published: March 8, 2018

The gut microbiota benefits humans via short-chain fatty acid (SCFA) production from carbohydrate fermentation, and deficiency in SCFA is associated with type 2 diabetes mellitus (T2DM). We conducted a randomized clinical study of specifically designed isoenergetic diets, together fecal shotgun metagenomics, to show that select group SCFA-producing strains was promoted by dietary fibers most other potential producers were either diminished or unchanged patients T2DM. When the fiber-promoted present greater diversity abundance, participants had better improvement hemoglobin A1c levels, partly increased glucagon-like peptide-1 production. Promotion these positive responders metabolically detrimental compounds such as indole hydrogen sulfide. Targeted restoration may novel ecological approach for managing

Language: Английский

Citations

1857

Human gut microbes impact host serum metabolome and insulin sensitivity DOI
Helle K. Pedersen, Valborg Guðmundsdóttir, Henrik Bjørn Nielsen

et al.

Nature, Journal Year: 2016, Volume and Issue: 535(7612), P. 376 - 381

Published: July 1, 2016

Language: Английский

Citations

1792

Artificial sweeteners induce glucose intolerance by altering the gut microbiota DOI
Jotham Suez, Tal Korem, David Zeevi

et al.

Nature, Journal Year: 2014, Volume and Issue: 514(7521), P. 181 - 186

Published: Sept. 16, 2014

Language: Английский

Citations

1745

MetaBAT, an efficient tool for accurately reconstructing single genomes from complex microbial communities DOI Creative Commons
Dongwan Kang, Jeff Froula, Rob Egan

et al.

PeerJ, Journal Year: 2015, Volume and Issue: 3, P. e1165 - e1165

Published: Aug. 27, 2015

Grouping large genomic fragments assembled from shotgun metagenomic sequences to deconvolute complex microbial communities, or metagenome binning, enables the study of individual organisms and their interactions. Because nature these existing binning methods often miss a number species. In addition, most tools are not scalable datasets. Here we introduce automated software called MetaBAT that integrates empirical probabilistic distances genome abundance tetranucleotide frequency for accurate binning. outperforms alternative in accuracy computational efficiency on both synthetic real It automatically forms hundreds high quality bins very assembly consisting millions contigs matter hours single node. is open source available at https://bitbucket.org/berkeleylab/metabat.

Language: Английский

Citations

1734