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Use of a Regression Model to Study Host-Genomic Determinants of Phage Susceptibility in MRSA

Department of Bio and Health Informatics, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
GoSeqIt ApS, Ved Klaedebo 9, 2970 Hoersholm, Denmark
Department of Bacteria, Fungi and Parasites, Statens Serum Institut, 2300 Copenhagen S, Denmark
Department of Clinical Microbiology, MRSA Knowledge Center, Hvidovre Hospital, 2650 Hvidovre, Denmark
Faculty of Health and Medical Sciences, Institute of Clinical Medicine, University of Copenhagen, 2200 Copenhagen, Denmark
Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, San Martín, B 1650 HMP, Buenos Aires, Argentina
Bacteriophage Laboratory, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 53-114 Wroclaw, Poland
Department of Clinical Immunology, Transplantation Institute, Medical University of Warsaw, 02-006 Warsaw, Poland
Authors to whom correspondence should be addressed.
Received: 15 November 2017 / Revised: 20 January 2018 / Accepted: 24 January 2018 / Published: 29 January 2018
(This article belongs to the Special Issue Bacteriophages: Alternatives to Antibiotics and Beyond)
Staphylococcus aureus is a major agent of nosocomial infections. Especially in methicillin-resistant strains, conventional treatment options are limited and expensive, which has fueled a growing interest in phage therapy approaches. We have tested the susceptibility of 207 clinical S. aureus strains to 12 (nine monovalent) different therapeutic phage preparations and subsequently employed linear regression models to estimate the influence of individual host gene families on resistance to phages. Specifically, we used a two-step regression model setup with a preselection step based on gene family enrichment. We show that our models are robust and capture the data’s underlying signal by comparing their performance to that of models build on randomized data. In doing so, we have identified 167 gene families that govern phage resistance in our strain set and performed functional analysis on them. This revealed genes of possible prophage or mobile genetic element origin, along with genes involved in restriction-modification and transcription regulators, though the majority were genes of unknown function. This study is a step in the direction of understanding the intricate host-phage relationship in this important pathogen with the outlook to targeted phage therapy applications. View Full-Text
Keywords: phage therapy; bacterial phage resistance; regression modeling; MRSA phage therapy; bacterial phage resistance; regression modeling; MRSA
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MDPI and ACS Style

Zschach, H.; Larsen, M.V.; Hasman, H.; Westh, H.; Nielsen, M.; Międzybrodzki, R.; Jończyk-Matysiak, E.; Weber-Dąbrowska, B.; Górski, A. Use of a Regression Model to Study Host-Genomic Determinants of Phage Susceptibility in MRSA. Antibiotics 2018, 7, 9.

AMA Style

Zschach H, Larsen MV, Hasman H, Westh H, Nielsen M, Międzybrodzki R, Jończyk-Matysiak E, Weber-Dąbrowska B, Górski A. Use of a Regression Model to Study Host-Genomic Determinants of Phage Susceptibility in MRSA. Antibiotics. 2018; 7(1):9.

Chicago/Turabian Style

Zschach, Henrike, Mette V. Larsen, Henrik Hasman, Henrik Westh, Morten Nielsen, Ryszard Międzybrodzki, Ewa Jończyk-Matysiak, Beata Weber-Dąbrowska, and Andrzej Górski. 2018. "Use of a Regression Model to Study Host-Genomic Determinants of Phage Susceptibility in MRSA" Antibiotics 7, no. 1: 9.

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