Literature DB >> 32508155

Xenometabolite signatures in the UC Davis type 2 diabetes mellitus rat model revealed using a metabolomics platform enriched with microbe-derived metabolites.

Kelly E Mercer1,2, Laxmi Yeruva1,2,3, Lindsay Pack1, James L Graham4,5, Kimber L Stanhope4,5, Sree V Chintapalli1,2, Umesh D Wankhade1,2, Kartik Shankar6, Peter J Havel4,5, Sean H Adams1,2, Brian D Piccolo1,2.   

Abstract

The gut microbiome has the potential to create or modify xenometabolites (i.e., nonhost-derived metabolites) through de novo synthesis or modification of exogenous and endogenous compounds. While there are isolated examples of xenometabolites influencing host health and disease, wide-scale characterization of these metabolites remains limited. We developed a metabolomics platform ("XenoScan") using liquid chromatography-mass spectrometry to characterize a range of known and suspected xenometabolites and their derivatives. This assay currently applies authentic standards for 190 molecules, enriched for metabolites of microbial origin. As a proof-of-principle, we characterized the cecal content xenometabolomics profile in adult male lean Sprague-Dawley (LSD) and University of California, Davis type 2 diabetes mellitus (UCD-T2DM) rats at different stages of diabetes. These results were correlated to specific bacterial species generated via shotgun metagenomic sequencing. UCD-T2DM rats had a unique xenometabolite profile compared with LSD rats, regardless of diabetes status, suggesting that at least some of the variation is associated with host genetics. Furthermore, modeling approaches revealed that several xenometabolites discriminated UCD-T2DM rats at early stages of diabetes versus those at 3 mo postdiabetes onset. Several xenometabolite hubs correlated with specific bacterial species in both LSD and UCD-T2DM rats. For example, indole-3-propionic acid negatively correlated with species within the Oscillibacter genus in UCD-T2DM rats considered to be prediabetic or recently diagnosed diabetic, in contrast to gluconic acid and trimethylamine, which were positively correlated with Oscillibacter species. The application of a xenometabolite-enriched metabolomics assay in relevant milieus will enable rapid identification of a wide variety of gut-derived metabolites, their derivatives, and their potential biochemical origins of xenometabolites in relationship to host gastrointestinal microbial ecology.NEW & NOTEWORTHY We debut a liquid chromatography-mass spectrometry (LC/MS) platform called the XenoScan, which is a metabolomics platform for xenometabolites (nonself-originating metabolites). This assay has 190 in-house standards with the majority enriched for microbe-derived metabolites. As a proof-of-principle, we used the XenoScan to discriminate genetic differences from cecal samples associated with different rat lineages, in addition to characterizing diabetes progression in rat model of type 2 diabetes. Complementing microbial sequencing data with xenometabolites uncovered novel microbial metabolism in targeted organisms.

Entities:  

Keywords:  diabetes; metabolomics; microbiota; xenometabolites

Mesh:

Year:  2020        PMID: 32508155      PMCID: PMC7500265          DOI: 10.1152/ajpgi.00105.2020

Source DB:  PubMed          Journal:  Am J Physiol Gastrointest Liver Physiol        ISSN: 0193-1857            Impact factor:   4.052


  50 in total

1.  Metabolomics analysis reveals large effects of gut microflora on mammalian blood metabolites.

Authors:  William R Wikoff; Andrew T Anfora; Jun Liu; Peter G Schultz; Scott A Lesley; Eric C Peters; Gary Siuzdak
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-20       Impact factor: 11.205

2.  Oscillospira and related bacteria - From metagenomic species to metabolic features.

Authors:  Uri Gophna; Tom Konikoff; Henrik Bjørn Nielsen
Journal:  Environ Microbiol       Date:  2017-02-03       Impact factor: 5.491

3.  Interactions between Gut Microbiota, Host Genetics and Diet Modulate the Predisposition to Obesity and Metabolic Syndrome.

Authors:  Siegfried Ussar; Nicholas W Griffin; Olivier Bezy; Shiho Fujisaka; Sara Vienberg; Samir Softic; Luxue Deng; Lynn Bry; Jeffrey I Gordon; C Ronald Kahn
Journal:  Cell Metab       Date:  2015-08-20       Impact factor: 27.287

4.  Diet, Genetics, and the Gut Microbiome Drive Dynamic Changes in Plasma Metabolites.

Authors:  Shiho Fujisaka; Julian Avila-Pacheco; Marion Soto; Aleksandar Kostic; Jonathan M Dreyfuss; Hui Pan; Siegfried Ussar; Emrah Altindis; Ning Li; Lynn Bry; Clary B Clish; C Ronald Kahn
Journal:  Cell Rep       Date:  2018-03-13       Impact factor: 9.423

5.  Early Postnatal Diets Affect the Bioregional Small Intestine Microbiome and Ileal Metabolome in Neonatal Pigs.

Authors:  Brian D Piccolo; Kelly E Mercer; Sudeepa Bhattacharyya; Anne K Bowlin; Manish K Saraf; Lindsay Pack; Sree V Chintapalli; Kartik Shankar; Sean H Adams; Thomas M Badger; Laxmi Yeruva
Journal:  J Nutr       Date:  2017-06-28       Impact factor: 4.798

6.  Development and characterization of a novel rat model of type 2 diabetes mellitus: the UC Davis type 2 diabetes mellitus UCD-T2DM rat.

Authors:  Bethany P Cummings; Erin K Digitale; Kimber L Stanhope; James L Graham; Denis G Baskin; Benjamin J Reed; Ian R Sweet; Steven C Griffen; Peter J Havel
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2008-10-01       Impact factor: 3.619

7.  Oscillibacter valericigenes gen. nov., sp. nov., a valerate-producing anaerobic bacterium isolated from the alimentary canal of a Japanese corbicula clam.

Authors:  Takao Iino; Koji Mori; Kenji Tanaka; Ken-Ichiro Suzuki; Shigeaki Harayama
Journal:  Int J Syst Evol Microbiol       Date:  2007-08       Impact factor: 2.747

8.  Changes in gut microbiota control metabolic endotoxemia-induced inflammation in high-fat diet-induced obesity and diabetes in mice.

Authors:  Patrice D Cani; Rodrigo Bibiloni; Claude Knauf; Aurélie Waget; Audrey M Neyrinck; Nathalie M Delzenne; Rémy Burcelin
Journal:  Diabetes       Date:  2008-02-27       Impact factor: 9.461

9.  Gut microbiota from twins discordant for obesity modulate metabolism in mice.

Authors:  Vanessa K Ridaura; Jeremiah J Faith; Federico E Rey; Jiye Cheng; Alexis E Duncan; Andrew L Kau; Nicholas W Griffin; Vincent Lombard; Bernard Henrissat; James R Bain; Michael J Muehlbauer; Olga Ilkayeva; Clay F Semenkovich; Katsuhiko Funai; David K Hayashi; Barbara J Lyle; Margaret C Martini; Luke K Ursell; Jose C Clemente; William Van Treuren; William A Walters; Rob Knight; Christopher B Newgard; Andrew C Heath; Jeffrey I Gordon
Journal:  Science       Date:  2013-09-06       Impact factor: 47.728

Review 10.  Microbial tryptophan catabolites in health and disease.

Authors:  Henrik M Roager; Tine R Licht
Journal:  Nat Commun       Date:  2018-08-17       Impact factor: 14.919

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  7 in total

1.  Net release and uptake of xenometabolites across intestinal, hepatic, muscle, and renal tissue beds in healthy conscious pigs.

Authors:  Kelly E Mercer; Gabriella A M Ten Have; Lindsay Pack; Renny Lan; Nicolaas E P Deutz; Sean H Adams; Brian D Piccolo
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2020-06-15       Impact factor: 4.052

Review 2.  Role of Gut Microbiota on Onset and Progression of Microvascular Complications of Type 2 Diabetes (T2DM).

Authors:  Daniela Maria Tanase; Evelina Maria Gosav; Ecaterina Neculae; Claudia Florida Costea; Manuela Ciocoiu; Loredana Liliana Hurjui; Claudia Cristina Tarniceriu; Minela Aida Maranduca; Cristina Mihaela Lacatusu; Mariana Floria; Ionela Lacramioara Serban
Journal:  Nutrients       Date:  2020-12-02       Impact factor: 5.717

Review 3.  Biological Effects of Indole-3-Propionic Acid, a Gut Microbiota-Derived Metabolite, and Its Precursor Tryptophan in Mammals' Health and Disease.

Authors:  Piotr Konopelski; Izabella Mogilnicka
Journal:  Int J Mol Sci       Date:  2022-01-22       Impact factor: 5.923

Review 4.  Gut Microbiota: An Important Player in Type 2 Diabetes Mellitus.

Authors:  Zheng Zhou; Bao Sun; Dongsheng Yu; Chunsheng Zhu
Journal:  Front Cell Infect Microbiol       Date:  2022-02-15       Impact factor: 5.293

Review 5.  The Mechanism Underlying the Influence of Indole-3-Propionic Acid: A Relevance to Metabolic Disorders.

Authors:  Binbin Zhang; Minjie Jiang; Jianan Zhao; Yu Song; Weidong Du; Junping Shi
Journal:  Front Endocrinol (Lausanne)       Date:  2022-03-18       Impact factor: 5.555

Review 6.  Zucker Diabetic-Sprague Dawley (ZDSD) rat: Type 2 diabetes translational research model.

Authors:  Andrea N Wang; Joselia Carlos; Graham M Fraser; John J McGuire
Journal:  Exp Physiol       Date:  2022-03-08       Impact factor: 2.858

7.  Gut Microbiome and Metabolome Modulation by Maternal High-Fat Diet and Thermogenic Challenge.

Authors:  Henry A Paz; Anna-Claire Pilkington; Ying Zhong; Sree V Chintapalli; James Sikes; Renny S Lan; Kartik Shankar; Umesh D Wankhade
Journal:  Int J Mol Sci       Date:  2022-08-25       Impact factor: 6.208

  7 in total

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