Literature DB >> 31053492

Microbial evolutionary medicine: from theory to clinical practice.

Sandra B Andersen1, B Jesse Shapiro2, Christina Vandenbroucke-Grauls3, Marjon G J de Vos4.   

Abstract

Medicine and clinical microbiology have traditionally attempted to identify and eliminate the agents that cause disease. However, this traditional approach is becoming inadequate for dealing with a changing disease landscape. Major challenges to human health are non-communicable chronic diseases, often driven by altered immunity and inflammation, and communicable infections from agents which harbour antibiotic resistance. This Review focuses on the so-called evolutionary medicine framework, to study how microbial communities influence human health. The evolutionary medicine framework aims to predict and manipulate microbial effects on human health by integrating ecology, evolutionary biology, microbiology, bioinformatics, and clinical expertise. We focus on the potential of evolutionary medicine to address three key challenges: detecting microbial transmission, predicting antimicrobial resistance, and understanding microbe-microbe and human-microbe interactions in health and disease, in the context of the microbiome.
Copyright © 2019 Elsevier Ltd. All rights reserved.

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Year:  2019        PMID: 31053492     DOI: 10.1016/S1473-3099(19)30045-3

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


  3 in total

Review 1.  Using ecological coexistence theory to understand antibiotic resistance and microbial competition.

Authors:  Andrew D Letten; Alex R Hall; Jonathan M Levine
Journal:  Nat Ecol Evol       Date:  2021-02-01       Impact factor: 15.460

2.  Loss of a pyoverdine secondary receptor in Pseudomonas aeruginosa results in a fitter strain suitable for population invasion.

Authors:  Jaime González; Manuel Salvador; Özhan Özkaya; Matt Spick; Kate Reid; Catia Costa; Melanie J Bailey; Claudio Avignone Rossa; Rolf Kümmerli; José I Jiménez
Journal:  ISME J       Date:  2020-12-15       Impact factor: 10.302

3.  The Good and the Bad: Ecological Interaction Measurements Between the Urinary Microbiota and Uropathogens.

Authors:  Laurens E Zandbergen; Thomas Halverson; Jolanda K Brons; Alan J Wolfe; Marjon G J de Vos
Journal:  Front Microbiol       Date:  2021-05-10       Impact factor: 5.640

  3 in total

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