Literature DB >> 21392838

Prospects for systems biology and modeling of the gut microbiome.

Fredrik H Karlsson1, Intawat Nookaew, Dina Petranovic, Jens Nielsen.   

Abstract

Abundant microorganisms that inhabit the human intestine are implicated in health and disease. The gut microbiome has been studied with metagenomic tools, and over 3 million genes have been discovered, constituting a 'parts list' of this ecosystem; further understanding requires studies of the interacting parts. Mouse models have provided a glimpse into the microbiota and host interactions at metabolic and immunologic levels; however, to provide more insight, there is a need to generate mathematical models that can reveal genotype-phenotype relationships and provide scaffolds for integrated analyses. To this end, we propose the use of genome-scale metabolic models that have successfully been used in studying interactions between human hosts and microbes, as well as microbes in isolation and in communities.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21392838     DOI: 10.1016/j.tibtech.2011.01.009

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  28 in total

1.  Challenges of biofilm control and utilization: lessons from mathematical modelling.

Authors:  Paulina A Dzianach; Gary A Dykes; Norval J C Strachan; Ken J Forbes; Francisco J Pérez-Reche
Journal:  J R Soc Interface       Date:  2019-06-12       Impact factor: 4.118

2.  Poor feed efficiency in sheep is associated with several structural abnormalities in the community metabolic network of their ruminal microbes.

Authors:  Rocky D Patil; Melinda J Ellison; Sara M Wolff; Courtney Shearer; Anna M Wright; Rebecca R Cockrum; Kathy J Austin; William R Lamberson; Kristi M Cammack; Gavin C Conant
Journal:  J Anim Sci       Date:  2018-06-04       Impact factor: 3.159

3.  Challenges in modeling the human gut microbiome.

Authors:  Parizad Babaei; Saeed Shoaie; Boyang Ji; Jens Nielsen
Journal:  Nat Biotechnol       Date:  2018-08-06       Impact factor: 54.908

Review 4.  Microbial interactions: from networks to models.

Authors:  Karoline Faust; Jeroen Raes
Journal:  Nat Rev Microbiol       Date:  2012-07-16       Impact factor: 60.633

Review 5.  Spatial structure, cooperation and competition in biofilms.

Authors:  Carey D Nadell; Knut Drescher; Kevin R Foster
Journal:  Nat Rev Microbiol       Date:  2016-07-25       Impact factor: 60.633

Review 6.  Metabolic network modeling of microbial communities.

Authors:  Matthew B Biggs; Gregory L Medlock; Glynis L Kolling; Jason A Papin
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2015-06-24

Review 7.  How the microbiota shapes rheumatic diseases.

Authors:  Tom Van de Wiele; Jens T Van Praet; Massimo Marzorati; Michael B Drennan; Dirk Elewaut
Journal:  Nat Rev Rheumatol       Date:  2016-06-16       Impact factor: 20.543

8.  Multi-Omics Reveals that Lead Exposure Disturbs Gut Microbiome Development, Key Metabolites, and Metabolic Pathways.

Authors:  Bei Gao; Liang Chi; Ridwan Mahbub; Xiaoming Bian; Pengcheng Tu; Hongyu Ru; Kun Lu
Journal:  Chem Res Toxicol       Date:  2017-03-16       Impact factor: 3.739

9.  Functional metabolic map of Faecalibacterium prausnitzii, a beneficial human gut microbe.

Authors:  Almut Heinken; M Tanweer Khan; Giuseppe Paglia; Dmitry A Rodionov; Hermie J M Harmsen; Ines Thiele
Journal:  J Bacteriol       Date:  2014-07-07       Impact factor: 3.490

10.  Understanding the interactions between bacteria in the human gut through metabolic modeling.

Authors:  Saeed Shoaie; Fredrik Karlsson; Adil Mardinoglu; Intawat Nookaew; Sergio Bordel; Jens Nielsen
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

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