Literature DB >> 31474368

Host-Microbe-Drug-Nutrient Screen Identifies Bacterial Effectors of Metformin Therapy.

Rosina Pryor1, Povilas Norvaisas2, Georgios Marinos3, Lena Best3, Louise B Thingholm4, Leonor M Quintaneiro1, Wouter De Haes5, Daniela Esser3, Silvio Waschina3, Celia Lujan6, Reuben L Smith7, Timothy A Scott2, Daniel Martinez-Martinez8, Orla Woodward2, Kevin Bryson9, Matthias Laudes10, Wolfgang Lieb11, Riekelt H Houtkooper7, Andre Franke4, Liesbet Temmerman5, Ivana Bjedov6, Helena M Cochemé8, Christoph Kaleta12, Filipe Cabreiro13.   

Abstract

Metformin is the first-line therapy for treating type 2 diabetes and a promising anti-aging drug. We set out to address the fundamental question of how gut microbes and nutrition, key regulators of host physiology, affect the effects of metformin. Combining two tractable genetic models, the bacterium E. coli and the nematode C. elegans, we developed a high-throughput four-way screen to define the underlying host-microbe-drug-nutrient interactions. We show that microbes integrate cues from metformin and the diet through the phosphotransferase signaling pathway that converges on the transcriptional regulator Crp. A detailed experimental characterization of metformin effects downstream of Crp in combination with metabolic modeling of the microbiota in metformin-treated type 2 diabetic patients predicts the production of microbial agmatine, a regulator of metformin effects on host lipid metabolism and lifespan. Our high-throughput screening platform paves the way for identifying exploitable drug-nutrient-microbiome interactions to improve host health and longevity through targeted microbiome therapies. VIDEO ABSTRACT.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  C. elegans; CRP signaling; Drosophila; aging; diet; humans; metabolic modeling; metformin; microbiome; type-2 diabetes

Mesh:

Substances:

Year:  2019        PMID: 31474368      PMCID: PMC6736778          DOI: 10.1016/j.cell.2019.08.003

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  56 in total

1.  Dietary habits in the German EPIC cohorts: food group intake estimated with the food frequency questionnaire. European Investigation into Cancer and Nutrition.

Authors:  B R Brandstetter; A Korfmann; A Kroke; N Becker; M B Schulze; H Boeing
Journal:  Ann Nutr Metab       Date:  1999       Impact factor: 3.374

2.  One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products.

Authors:  K A Datsenko; B L Wanner
Journal:  Proc Natl Acad Sci U S A       Date:  2000-06-06       Impact factor: 11.205

3.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

4.  Glucose shortens the life span of C. elegans by downregulating DAF-16/FOXO activity and aquaporin gene expression.

Authors:  Seung-Jae Lee; Coleen T Murphy; Cynthia Kenyon
Journal:  Cell Metab       Date:  2009-11       Impact factor: 27.287

Review 5.  PopGen: population-based recruitment of patients and controls for the analysis of complex genotype-phenotype relationships.

Authors:  Michael Krawczak; Susanna Nikolaus; Huberta von Eberstein; Peter J P Croucher; Nour Eddine El Mokhtari; Stefan Schreiber
Journal:  Community Genet       Date:  2006

6.  Expression of Ndi1p, an alternative NADH:ubiquinone oxidoreductase, increases mitochondrial membrane potential in a C. elegans model of mitochondrial disease.

Authors:  Adrienne DeCorby; Dana Gásková; Leanne C Sayles; Bernard D Lemire
Journal:  Biochim Biophys Acta       Date:  2007-07-19

7.  Quality control and preprocessing of metagenomic datasets.

Authors:  Robert Schmieder; Robert Edwards
Journal:  Bioinformatics       Date:  2011-01-28       Impact factor: 6.937

8.  Dietary phospholipids and intestinal cholesterol absorption.

Authors:  Jeffrey S Cohn; Alvin Kamili; Elaine Wat; Rosanna W S Chung; Sally Tandy
Journal:  Nutrients       Date:  2010-02-08       Impact factor: 5.717

9.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

10.  Metformin induces a dietary restriction-like state and the oxidative stress response to extend C. elegans Healthspan via AMPK, LKB1, and SKN-1.

Authors:  Brian Onken; Monica Driscoll
Journal:  PLoS One       Date:  2010-01-18       Impact factor: 3.240

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  63 in total

Review 1.  [Gut-heart axis : How gut bacteria influence cardiovascular diseases].

Authors:  Hendrik Bartolomaeus; Victoria McParland; Nicola Wilck
Journal:  Herz       Date:  2020-04       Impact factor: 1.443

Review 2.  Gut microbiota in human metabolic health and disease.

Authors:  Yong Fan; Oluf Pedersen
Journal:  Nat Rev Microbiol       Date:  2020-09-04       Impact factor: 60.633

3.  Loss of metabolic plasticity underlies metformin toxicity in aged Caenorhabditis elegans.

Authors:  Lilia Espada; Alexander Dakhovnik; Prerana Chaudhari; Asya Martirosyan; Laura Miek; Tetiana Poliezhaieva; Yvonne Schaub; Ashish Nair; Nadia Döring; Norman Rahnis; Oliver Werz; Andreas Koeberle; Joanna Kirkpatrick; Alessandro Ori; Maria A Ermolaeva
Journal:  Nat Metab       Date:  2020-11-02

4.  Gut microbiome in liver pathophysiology and cholestatic liver disease.

Authors:  Shengmin Yan; Xiao-Ming Yin
Journal:  Liver Res       Date:  2021-08-08

5.  The oral microbiome profile and biomarker in Chinese type 2 diabetes mellitus patients.

Authors:  Bin Chen; Zhe Wang; Jingwen Wang; Xinhuan Su; Junjie Yang; Qunye Zhang; Lei Zhang
Journal:  Endocrine       Date:  2020-04-03       Impact factor: 3.633

Review 6.  Benefits of Metformin in Attenuating the Hallmarks of Aging.

Authors:  Ameya S Kulkarni; Sriram Gubbi; Nir Barzilai
Journal:  Cell Metab       Date:  2020-04-24       Impact factor: 27.287

Review 7.  C. elegans: A biosensor for host-microbe interactions.

Authors:  Cassandra Backes; Daniel Martinez-Martinez; Filipe Cabreiro
Journal:  Lab Anim (NY)       Date:  2021-03-01       Impact factor: 12.625

8.  Activation of autophagy attenuates motor deficits and extends lifespan in a C. elegans model of ALS.

Authors:  Hui Xu; Congcong Jia; Cheng Cheng; Haifeng Wu; Huaibin Cai; Weidong Le
Journal:  Free Radic Biol Med       Date:  2022-02-01       Impact factor: 7.376

Review 9.  Therapeutic Repurposing of Biguanides in Cancer.

Authors:  Hongyun Zhao; Kenneth D Swanson; Bin Zheng
Journal:  Trends Cancer       Date:  2021-04-14

Review 10.  Computational Biology and Machine Learning Approaches to Understand Mechanistic Microbiome-Host Interactions.

Authors:  Padhmanand Sudhakar; Kathleen Machiels; Bram Verstockt; Tamas Korcsmaros; Séverine Vermeire
Journal:  Front Microbiol       Date:  2021-05-11       Impact factor: 5.640

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