Literature DB >> 26057846

Monitoring host responses to the gut microbiota.

Joshua S Lichtman1, Justin L Sonnenburg2, Joshua E Elias1.   

Abstract

The gastrointestinal (GI) ecosystem is increasingly understood to be a fundamental component of health, and has been identified as a new focal point for diagnosing, correcting and preventing countless disorders. Shotgun DNA sequencing has emerged as the dominant technology for determining the genetic and microbial composition of the gut microbiota. This technology has linked microbiota dysbioses to numerous GI diseases including inflammatory bowel disease, obesity and allergy, and to non-GI diseases like autism and depression. The importance of establishing causality in the deterioration of the host-microbiota relationship is well appreciated; however, discovery of candidate molecules and pathways that underlie mechanisms remains a major challenge. Targeted approaches, transcriptional assays, cytokine panels and imaging analyses, applied to animals, have yielded important insight into host responses to the microbiota. However, non-invasive, hypothesis-independent means of measuring host responses in humans are necessary to keep pace with similarly unbiased sequencing efforts that monitor microbes. Mass spectrometry-based proteomics has served this purpose in many other fields, but stool proteins exist in such diversity and dynamic range as to overwhelm conventional proteomics technologies. Focused analysis of host protein secretion into the gut lumen and monitoring proteome-level dynamics in stool provides a tractable route toward non-invasively evaluating dietary, microbial, surgical or pharmacological intervention efficacies. This review is intended to guide GI biologists and clinicians through the methods currently used to elucidate host responses in the gut, with a specific focus on mass spectrometry-based shotgun proteomics applied to the study of host protein dynamics within the GI ecosystem.

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Year:  2015        PMID: 26057846      PMCID: PMC4542045          DOI: 10.1038/ismej.2015.93

Source DB:  PubMed          Journal:  ISME J        ISSN: 1751-7362            Impact factor:   10.302


  54 in total

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Journal:  Mol Cell Proteomics       Date:  2012-01-18       Impact factor: 5.911

2.  Temporal and spatial interplay of microbiota and intestinal mucosa drive establishment of immune homeostasis in conventionalized mice.

Authors:  Sahar El Aidy; Peter van Baarlen; Muriel Derrien; Dicky J Lindenbergh-Kortleve; Guido Hooiveld; Florence Levenez; Joël Doré; Jan Dekker; Janneke N Samsom; Edward E S Nieuwenhuis; Michiel Kleerebezem
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3.  Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders.

Authors:  Elaine Y Hsiao; Sara W McBride; Sophia Hsien; Gil Sharon; Embriette R Hyde; Tyler McCue; Julian A Codelli; Janet Chow; Sarah E Reisman; Joseph F Petrosino; Paul H Patterson; Sarkis K Mazmanian
Journal:  Cell       Date:  2013-12-05       Impact factor: 41.582

4.  The microbial metabolites, short-chain fatty acids, regulate colonic Treg cell homeostasis.

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5.  Byonic: advanced peptide and protein identification software.

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6.  Host-centric proteomics of stool: a novel strategy focused on intestinal responses to the gut microbiota.

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Journal:  Mol Cell Proteomics       Date:  2013-08-27       Impact factor: 5.911

7.  A metabolomic view of how the human gut microbiota impacts the host metabolome using humanized and gnotobiotic mice.

Authors:  A Marcobal; P C Kashyap; T A Nelson; P A Aronov; M S Donia; A Spormann; M A Fischbach; J L Sonnenburg
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8.  Structure, function and diversity of the healthy human microbiome.

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Journal:  Nat Med       Date:  2013-04-07       Impact factor: 53.440

10.  Integrated metagenomics/metaproteomics reveals human host-microbiota signatures of Crohn's disease.

Authors:  Alison R Erickson; Brandi L Cantarel; Regina Lamendella; Youssef Darzi; Emmanuel F Mongodin; Chongle Pan; Manesh Shah; Jonas Halfvarson; Curt Tysk; Bernard Henrissat; Jeroen Raes; Nathan C Verberkmoes; Claire M Fraser; Robert L Hettich; Janet K Jansson
Journal:  PLoS One       Date:  2012-11-28       Impact factor: 3.240

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  15 in total

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2.  The effect of microbial colonization on the host proteome varies by gastrointestinal location.

Authors:  Joshua S Lichtman; Emily Alsentzer; Mia Jaffe; Daniel Sprockett; Evan Masutani; Elvis Ikwa; Gabriela K Fragiadakis; David Clifford; Bevan Emma Huang; Justin L Sonnenburg; Kerwyn Casey Huang; Joshua E Elias
Journal:  ISME J       Date:  2015-11-17       Impact factor: 10.302

Review 3.  Endocannabinoids--at the crossroads between the gut microbiota and host metabolism.

Authors:  Patrice D Cani; Hubert Plovier; Matthias Van Hul; Lucie Geurts; Nathalie M Delzenne; Céline Druart; Amandine Everard
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4.  Intestinal Metaproteomics Reveals Host-Microbiota Interactions in Subjects at Risk for Type 1 Diabetes.

Authors:  Patrick G Gavin; Jane A Mullaney; Dorothy Loo; Kim-Anh Lê Cao; Peter A Gottlieb; Michelle M Hill; Danny Zipris; Emma E Hamilton-Williams
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5.  Modulating Oral Delivery and Gastrointestinal Kinetics of Recombinant Proteins via Engineered Fungi.

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6.  Circadian Rhythm Shapes the Gut Microbiota Affecting Host Radiosensitivity.

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7.  A High Grain Diet Dynamically Shifted the Composition of Mucosa-Associated Microbiota and Induced Mucosal Injuries in the Colon of Sheep.

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8.  MetaPro-IQ: a universal metaproteomic approach to studying human and mouse gut microbiota.

Authors:  Xu Zhang; Zhibin Ning; Janice Mayne; Jasmine I Moore; Jennifer Li; James Butcher; Shelley Ann Deeke; Rui Chen; Cheng-Kang Chiang; Ming Wen; David Mack; Alain Stintzi; Daniel Figeys
Journal:  Microbiome       Date:  2016-06-24       Impact factor: 14.650

9.  Grain-rich diets altered the colonic fermentation and mucosa-associated bacterial communities and induced mucosal injuries in goats.

Authors:  Huimin Ye; Junhua Liu; Panfei Feng; Weiyun Zhu; Shengyong Mao
Journal:  Sci Rep       Date:  2016-02-04       Impact factor: 4.379

10.  Host-Microbiota Interactions in the Pathogenesis of Antibiotic-Associated Diseases.

Authors:  Joshua S Lichtman; Jessica A Ferreyra; Katharine M Ng; Samuel A Smits; Justin L Sonnenburg; Joshua E Elias
Journal:  Cell Rep       Date:  2016-01-28       Impact factor: 9.423

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