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Bioinformatics-driven discovery of novel Clostridioides difficile lysins and experimental comparison with highly active benchmarks.

Authors :
Furlon JM
Mitchell SJ
Bailey-Kellogg C
Griswold KE
Source :
Biotechnology and bioengineering [Biotechnol Bioeng] 2021 Jul; Vol. 118 (7), pp. 2482-2492. Date of Electronic Publication: 2021 Apr 01.
Publication Year :
2021

Abstract

Clostridioides difficile is the single most deadly bacterial pathogen in the United States, and its global prevalence and outsized health impacts underscore the need for more effective therapeutic options. Towards this goal, a novel group of modified peptidoglycan hydrolases with significant in vitro bactericidal activity have emerged as potential candidates for treating C. difficile infections (CDI). To date, discovery and development efforts directed at these CDI-specific lysins have been limited, and in particular there has been no systematic comparison of known or newly discovered lysin candidates. Here, we detail bioinformatics-driven discovery of six new anti-C. difficile lysins belonging to the amidase-3 family of enzymes, and we describe experimental comparison of their respective catalytic domains (CATs) with highly active CATs from the literature. Our quantitative analyses include metrics for expression level, inherent antibacterial activity, breadth of strain selectivity, killing of germinating spores, and structural and functional measures of thermal stability. Importantly, prior studies have not examined stability as a performance metric, and our results show that the panel of eight enzymes possess widely variable thermal denaturation temperatures and resistance to heat inactivation, including some enzymes that exhibit marginal stability at body temperature. Ultimately, no single enzyme dominated with respect to all performance measures, suggesting the need for a balanced assessment of lysin properties during efforts to find, engineer, and develop candidates with true clinical potential.<br /> (© 2021 Wiley Periodicals LLC.)

Details

Language :
English
ISSN :
1097-0290
Volume :
118
Issue :
7
Database :
MEDLINE
Journal :
Biotechnology and bioengineering
Publication Type :
Academic Journal
Accession number :
33748952
Full Text :
https://doi.org/10.1002/bit.27759