Literature DB >> 16541065

Robust Salmonella metabolism limits possibilities for new antimicrobials.

Daniel Becker1, Matthias Selbach, Claudia Rollenhagen, Matthias Ballmaier, Thomas F Meyer, Matthias Mann, Dirk Bumann.   

Abstract

New antibiotics are urgently needed to control infectious diseases. Metabolic enzymes could represent attractive targets for such antibiotics, but in vivo target validation is largely lacking. Here we have obtained in vivo information about over 700 Salmonella enterica enzymes from network analysis of mutant phenotypes, genome comparisons and Salmonella proteomes from infected mice. Over 400 of these enzymes are non-essential for Salmonella virulence, reflecting extensive metabolic redundancies and access to surprisingly diverse host nutrients. The essential enzymes identified were almost exclusively associated with a small subgroup of pathways, enabling us to perform a nearly exhaustive screen. Sixty-four enzymes identified as essential in Salmonella are conserved in other important human pathogens, but almost all belong to metabolic pathways that are inhibited by current antibiotics or that have previously been considered for antimicrobial development. Our comprehensive in vivo analysis thus suggests a shortage of new metabolic targets for broad-spectrum antibiotics, and draws attention to some previously known but unexploited targets.

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Year:  2006        PMID: 16541065     DOI: 10.1038/nature04616

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  134 in total

1.  Host hydrogen rather than that produced by the pathogen is important for Salmonella enterica serovar Typhimurium virulence.

Authors:  Reena Lamichhane-Khadka; Stéphane L Benoit; Erica F Miller-Parks; Robert J Maier
Journal:  Infect Immun       Date:  2014-11-03       Impact factor: 3.441

2.  rpoS-Regulated core genes involved in the competitive fitness of Salmonella enterica Serovar Kentucky in the intestines of chickens.

Authors:  Ying Cheng; Adriana Ayres Pedroso; Steffen Porwollik; Michael McClelland; Margie D Lee; Tiffany Kwan; Katherine Zamperini; Vivek Soni; Holly S Sellers; Scott M Russell; John J Maurer
Journal:  Appl Environ Microbiol       Date:  2014-10-31       Impact factor: 4.792

3.  Superessential reactions in metabolic networks.

Authors:  Aditya Barve; João Frederico Matias Rodrigues; Andreas Wagner
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-16       Impact factor: 11.205

4.  Subpopulation-specific metabolic pathway usage in mixed cultures as revealed by reporter protein-based 13C analysis.

Authors:  Martin Rühl; Wolf-Dietrich Hardt; Uwe Sauer
Journal:  Appl Environ Microbiol       Date:  2011-01-07       Impact factor: 4.792

Review 5.  Network-based approaches in drug discovery and early development.

Authors:  J M Harrold; M Ramanathan; D E Mager
Journal:  Clin Pharmacol Ther       Date:  2013-09-11       Impact factor: 6.875

Review 6.  NAD+ utilization in Pasteurellaceae: simplification of a complex pathway.

Authors:  Gabriele Gerlach; Joachim Reidl
Journal:  J Bacteriol       Date:  2006-10       Impact factor: 3.490

7.  The treatment of enteric fever.

Authors:  Buddha Basnyat
Journal:  J R Soc Med       Date:  2007-04       Impact factor: 5.344

8.  Identifying potential therapeutic targets of methicillin-resistant Staphylococcus aureus through in vivo proteomic analysis.

Authors:  Binh An Diep; Qui Phung; Shailesh Date; David Arnott; Corey Bakalarski; Min Xu; Gerald Nakamura; Danielle L Swem; Mary Kate Alexander; Hoan N Le; Thuy T Mai; Man-Wah Tan; Eric J Brown; Mireille Nishiyama
Journal:  J Infect Dis       Date:  2013-11-26       Impact factor: 5.226

Review 9.  Use of high-throughput mass spectrometry to elucidate host-pathogen interactions in Salmonella.

Authors:  Karin D Rodland; Joshua N Adkins; Charles Ansong; Saiful Chowdhury; Nathan P Manes; Liang Shi; Hyunjin Yoon; Richard D Smith; Fred Heffron
Journal:  Future Microbiol       Date:  2008-12       Impact factor: 3.165

Review 10.  Using bacterial genomes and essential genes for the development of new antibiotics.

Authors:  Francisco R Fields; Shaun W Lee; Michael J McConnell
Journal:  Biochem Pharmacol       Date:  2016-12-08       Impact factor: 5.858

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