An insight into gut microbiota and its functionalities DOI
Atanu Adak, Mojibur R. Khan

Cellular and Molecular Life Sciences, Год журнала: 2018, Номер 76(3), С. 473 - 493

Опубликована: Окт. 13, 2018

Язык: Английский

Dietary fiber and prebiotics and the gastrointestinal microbiota DOI Open Access
Hannah D. Holscher

Gut Microbes, Год журнала: 2017, Номер 8(2), С. 172 - 184

Опубликована: Фев. 6, 2017

The gastrointestinal microbiota has an important role in human health, and there is increasing interest utilizing dietary approaches to modulate the composition metabolic function of microbial communities that colonize tract improve prevent or treat disease. One strategy for modulating consumption fiber prebiotics can be metabolized by microbes tract. Human alimentary enzymes are not able digest most complex carbohydrates plant polysaccharides. Instead, these polysaccharides which generate short-chain fatty acids (SCFAs), including acetate, propionate, butyrate. This article reviews current knowledge impact prebiotic on microbiota, effects physiochemical properties carbohydrates, adequate intake treatment dosages, phenotypic responses related microbiota.

Язык: Английский

Процитировано

1392

Dysbiosis and the immune system DOI
Maayan Levy, Aleksandra A. Kolodziejczyk, Christoph A. Thaiss

и другие.

Nature reviews. Immunology, Год журнала: 2017, Номер 17(4), С. 219 - 232

Опубликована: Март 6, 2017

Язык: Английский

Процитировано

1390

Gut Microbiota in Cardiovascular Health and Disease DOI Open Access
W.H. Wilson Tang, Takeshi Kitai, Stanley L. Hazen

и другие.

Circulation Research, Год журнала: 2017, Номер 120(7), С. 1183 - 1196

Опубликована: Март 30, 2017

Significant interest in recent years has focused on gut microbiota-host interaction because accumulating evidence revealed that intestinal microbiota play an important role human health and disease, including cardiovascular diseases. Changes the composition of associated with referred to as dysbiosis, have been linked pathologies such atherosclerosis, hypertension, heart failure, chronic kidney obesity, type 2 diabetes mellitus. In addition alterations composition, metabolic potential identified a contributing factor development Recent studies can elicit variety effects host. Indeed, microbiome functions like endocrine organ, generating bioactive metabolites, impact host physiology. Microbiota interact through many pathways, trimethylamine/trimethylamine

Язык: Английский

Процитировано

1372

Large-scale association analyses identify host factors influencing human gut microbiome composition DOI
Alexander Kurilshikov, Carolina Medina‐Gómez, Rodrigo Bacigalupe

и другие.

Nature Genetics, Год журнала: 2021, Номер 53(2), С. 156 - 165

Опубликована: Янв. 18, 2021

Язык: Английский

Процитировано

1242

Microbial Hub Taxa Link Host and Abiotic Factors to Plant Microbiome Variation DOI Creative Commons
Matthew T. Agler,

Jonas Ruhe,

Samuel Kroll

и другие.

PLoS Biology, Год журнала: 2016, Номер 14(1), С. e1002352 - e1002352

Опубликована: Янв. 20, 2016

Plant-associated microorganisms have been shown to critically affect host physiology and performance, suggesting that evolution ecology of plants animals can only be understood in a holobiont (host its associated organisms) context. Host-associated microbial community structures are affected by abiotic factors, increased attention is given the role microbiome interactions such as pathogen inhibition. However, little known about how these factors act on community, especially what microbe–microbe interaction dynamics play. We begun address this knowledge gap for phyllosphere microbiomes simultaneously studying three major groups Arabidopsis thaliana symbionts (bacteria, fungi oomycetes) using systems biology approach. evaluated multiple potential control: we sampled various wild A. populations at different times, performed field plantings with genotypes, implemented successive colonization experiments under lab conditions where genotype, was manipulated. Our results indicate both genotype interact plant all microbes. Considering interactions, however, uncovered network interkingdom significant contributions structure. As other scale-free networks, small number taxa, which call "hubs," strongly interconnected severe effect communities. By documenting uncover an important mechanism explaining genotypic signatures control In short, they directly "hub" microbes, which, via transmit effects community. analyzed two microbes (the obligate biotrophic oomycete Albugo basidiomycete yeast fungus Dioszegia) more closely. had strong epiphytic endophytic bacterial colonization. Specifically, alpha diversity decreased beta stabilized presence infection, whereas otherwise varied between plants. Dioszegia, hand, provided evidence direct hub bacteria. The identification "hubs" their importance structuring has crucial implications plant–pathogen research opens new entry points ecosystem management future targeted biocontrol. revelation cascade through communities understand structure perturbations parallel fields including human bioprocesses. particular, parallels "keystone" pathogens open avenues interdisciplinary promise better our understanding functions host-associated microbiomes.

Язык: Английский

Процитировано

1204

Signals from the gut microbiota to distant organs in physiology and disease DOI
Bjoern O. Schroeder, Fredrik Bäckhed

Nature Medicine, Год журнала: 2016, Номер 22(10), С. 1079 - 1089

Опубликована: Окт. 1, 2016

Язык: Английский

Процитировано

1195

Human gut microbiome: hopes, threats and promises DOI Creative Commons
Patrice D. Cani

Gut, Год журнала: 2018, Номер 67(9), С. 1716 - 1725

Опубликована: Июнь 22, 2018

The microbiome has received increasing attention over the last 15 years. Although gut microbes have been explored for several decades, investigations of role microorganisms that reside in human attracted much beyond classical infectious diseases. For example, numerous studies reported changes microbiota during not only obesity, diabetes, and liver diseases but also cancer even neurodegenerative is viewed as a potential source novel therapeutics. Between 2013 2017, number publications focusing on was, remarkably, 12 900, which represents four-fifths total 40 years investigated this topic. This review discusses recent evidence impact metabolic disorders focus selected key mechanisms. aims to provide critical analysis current knowledge field, identify putative issues or problems discuss misinterpretations. abundance metagenomic data generated comparing diseased healthy subjects can lead erroneous claim bacterium causally linked with protection onset disease. In fact, environmental factors such dietary habits, drug treatments, intestinal motility stool frequency consistency are all influence composition should be considered. cases bacteria Prevotella copri Akkermansia muciniphila will discussed examples.

Язык: Английский

Процитировано

1143

The gut–liver axis and the intersection with the microbiome DOI
Anupriya Tripathi, Justine W. Debelius, David A. Brenner

и другие.

Nature Reviews Gastroenterology & Hepatology, Год журнала: 2018, Номер 15(7), С. 397 - 411

Опубликована: Май 10, 2018

Язык: Английский

Процитировано

1118

The microbiota of the respiratory tract: gatekeeper to respiratory health DOI Open Access
Wing Ho Man, Wouter A. A. de Steenhuijsen Piters, Debby Bogaert

и другие.

Nature Reviews Microbiology, Год журнала: 2017, Номер 15(5), С. 259 - 270

Опубликована: Март 20, 2017

Язык: Английский

Процитировано

1088

Proton pump inhibitors affect the gut microbiome DOI Creative Commons
Floris Imhann, Marc Jan Bonder, Arnau Vich Vila

и другие.

Gut, Год журнала: 2015, Номер 65(5), С. 740 - 748

Опубликована: Дек. 9, 2015

Background and aims

Proton pump inhibitors (PPIs) are among the top 10 most widely used drugs in world. PPI use has been associated with an increased risk of enteric infections, notably Clostridium difficile. The gut microbiome plays important role by resisting or promoting colonisation pathogens. In this study, we investigated influence on microbiome.

Methods

composition 1815 individuals, spanning three cohorts, was assessed tag sequencing 16S rRNA gene. difference microbiota users versus non-users analysed separately each cohort, followed a meta-analysis.

Results

211 participants were using PPIs at moment stool sampling. is significant decrease Shannon9s diversity changes 20% bacterial taxa (false discovery rate <0.05). Multiple oral bacteria over-represented faecal PPI-users, including genus Rothia (p=9.8×10−38). observed increase bacteria: genera Enterococcus, Streptococcus, Staphylococcus potentially pathogenic species Escherichia coli.

Conclusions

differences between study consistently towards less healthy These line known that predispose to C. difficile infections can explain users. On population level, effects more prominent than antibiotics other commonly drugs.

Язык: Английский

Процитировано

1086