Journal ArticleDOI
Prevotella and Klebsiella proportions in fecal microbial communities are potential characteristic parameters for patients with major depressive disorder.
Ping Lin,Bingyu Ding,Chunyan Feng,Shuwei Yin,Ting Zhang,Xin Qi,Huiying Lv,Xiaokui Guo,Ke Dong,Yongzhang Zhu,Qingtian Li +10 more
TLDR
Prevotella and Klebsiella proportion in fecal microbial communities should be concerned in the diagnosis and therapeutic monitoring of MDD in future.About:
This article is published in Journal of Affective Disorders.The article was published on 2017-01-01. It has received 184 citations till now. The article focuses on the topics: Prevotella.read more
Citations
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American Gut: an Open Platform for Citizen Science Microbiome Research.
Daniel McDonald,Embriette R. Hyde,Justine W. Debelius,James T. Morton,Antonio Gonzalez,Gail Ackermann,Alexander A. Aksenov,Alexander A. Aksenov,Bahar Behsaz,Caitriona Brennan,Yingfeng Chen,Lindsay DeRight Goldasich,Pieter C. Dorrestein,Pieter C. Dorrestein,Robert R. Dunn,Ashkaan K. Fahimipour,James Gaffney,Jack A. Gilbert,Grant Gogul,Jessica L. Green,Philip Hugenholtz,Greg Humphrey,Curtis Huttenhower,Curtis Huttenhower,Matthew A. Jackson,Stefan Janssen,Dilip V. Jeste,Lingjing Jiang,Scott T. Kelley,Dan Knights,Tomasz Kosciolek,Joshua Ladau,Jeff Leach,Clarisse Marotz,Dmitry Meleshko,Alexey V. Melnik,Alexey V. Melnik,Jessica L. Metcalf,Hosein Mohimani,Emmanuel Montassier,Emmanuel Montassier,Jose A. Navas-Molina,Tanya T. Nguyen,Shyamal D. Peddada,Pavel A. Pevzner,Katherine S. Pollard,Gholamali Rahnavard,Gholamali Rahnavard,Adam Robbins-Pianka,Naseer Sangwan,Joshua Shorenstein,Larry Smarr,Se Jin Song,Tim D. Spector,Austin D. Swafford,Varykina G. Thackray,Luke R. Thompson,Luke R. Thompson,Anupriya Tripathi,Yoshiki Vázquez-Baeza,Alison Vrbanac,Paul E. Wischmeyer,Elaine Wolfe,Qiyun Zhu,Rob Knight +64 more
TL;DR: The utility of the living data resource and cross-cohort comparison is demonstrated to confirm existing associations between the microbiome and psychiatric illness and to reveal the extent of microbiome change within one individual during surgery, providing a paradigm for open microbiome research and education.
Journal ArticleDOI
Depression and obesity: evidence of shared biological mechanisms
Yuri Milaneschi,W. Kyle Simmons,W. Kyle Simmons,Elisabeth F.C. van Rossum,Brenda W.J.H. Penninx +4 more
TL;DR: The present review focuses specifically on shared biological pathways that may mechanistically explain the depression–obesity link, including genetics, alterations in systems involved in homeostatic adjustments (HPA axis, immuno-inflammatory activation, neuroendocrine regulators of energy metabolism, and microbiome) and brain circuitries integratingHomeostatic and mood regulatory responses.
Journal ArticleDOI
Systematic Review of Gut Microbiota and Major Depression.
Stephanie G. Cheung,Ariel R. Goldenthal,Anne-Catrin Uhlemann,J. John Mann,Jeffrey M. Miller,M. Elizabeth Sublette +5 more
TL;DR: It is proposed that studying microbial functioning may be more productive than a purely taxonomic approach to understanding the gut microbiome in depression because bacterial functions are conserved across taxonomic groups.
Journal ArticleDOI
The gut microbiota in anxiety and depression - A systematic review.
Carra A Simpson,Carmela Díaz-Arteche,Djamila Eliby,Orli Schwartz,Julian G Simmons,Caitlin S. M. Cowan +5 more
TL;DR: Although the gut microbiota remains a promising target for prevention and therapy, future research should assess confounders, particularly diet and psychotropic medications, and should examine microorganism function.
Journal ArticleDOI
Dysbiosis of gut microbiota and microbial metabolites in Parkinson's Disease.
Meng-Fei Sun,Yan-Qin Shen +1 more
TL;DR: In this review, recent findings regarding alterations and the role of gut microbiota and microbial metabolites in PD are summarized, and potential molecular mechanisms and microbiota-targeted interventions inPD are discussed.
References
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Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities
Patrick D. Schloss,Patrick D. Schloss,Sarah L. Westcott,Sarah L. Westcott,Thomas Ryabin,Justine R. Hall,Martin Hartmann,Emily B. Hollister,Ryan A. Lesniewski,Brian B. Oakley,Donovan H. Parks,Courtney J. Robinson,Jason W. Sahl,Blaz Stres,Gerhard G. Thallinger,David J. Van Horn,Carolyn F. Weber +16 more
TL;DR: M mothur is used as a case study to trim, screen, and align sequences; calculate distances; assign sequences to operational taxonomic units; and describe the α and β diversity of eight marine samples previously characterized by pyrosequencing of 16S rRNA gene fragments.
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Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
TL;DR: The RDP Classifier can rapidly and accurately classify bacterial 16S rRNA sequences into the new higher-order taxonomy proposed in Bergey's Taxonomic Outline of the Prokaryotes, and the majority of the classification errors appear to be due to anomalies in the current taxonomies.
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UCHIME improves sensitivity and speed of chimera detection
TL;DR: UCHIME has better sensitivity than ChimeraSlayer (previously the most sensitive database method), especially with short, noisy sequences, and in testing on artificial bacterial communities with known composition, UCHIME de novo sensitivity is shown to be comparable to Perseus.
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Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform.
TL;DR: This work presents an improved method for sequencing variable regions within the 16S rRNA gene using Illumina's MiSeq platform, which is currently capable of producing paired 250-nucleotide reads and demonstrates that it can provide data that are at least as good as that generated by the 454 platform while providing considerably higher sequencing coverage for a fraction of the cost.
Journal ArticleDOI
Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour
John F. Cryan,Timothy G. Dinan +1 more
TL;DR: The emerging concept of a microbiota–gut–brain axis suggests that modulation of the gut microbiota may be a tractable strategy for developing novel therapeutics for complex CNS disorders.