Using chemical tools to identify and inhibit serine hydrolases in commensal bacteria

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Abstract/Contents

Abstract
With rising rates of antimicrobial resistance and an increasing understanding of how commensal bacteria in the human microbiota affect a wide variety of diseases, it is of utmost importance to discover novel bacterial drug targets. In particular, microbiota-related diseases are often characterized by a dysbiotic microbial community and a bloom of pathobiont bacteria. Thus, identifying selective targets that can decrease the fitness of a subset of bacterial species within a community without having broad-spectrum effects will be critical. Previous work has utilized a chemoproteomics technique called activity-based protein profiling (ABPP), which uses chemical probes that can covalently modify catalytic active enzymes, to identify relevant druggable enzymes in several bacterial pathogens. This approach is especially powerful for identifying serine hydrolases, a broad superfamily of enzymes with functions in metabolism and cell signaling in mammals. While they have not previously been studied in commensal bacteria, these functions suggest serine hydrolases may be important for bacteria to maintain themselves in complex communities, and their diversity hints at their potential as selective drug targets. In Chapter 2, a combination of bioinformatics and ABPP were utilized to identify serine hydrolases in the skin commensal bacterium Staphylococcus epidermidis, most of which had close homologs in other staphylococcal species including the pathobiont Staphylococcus aureus. In particular, the lipase SeFphB is a functional homolog of the virulence factor SaFphB in S. aureus and has varying activity levels across clinical isolates of S. epidermidis. While loss of SaFphB has been previously shown to be important in infection, SeFphB does not play a role in commensal skin colonization by S. epidermidis. These results suggest that SaFphB is still a viable drug target and potential off-target effects on SaFphB homologs in the skin microbiota likely will not be detrimental. In Chapter 3, a pipeline to predict serine hydrolases bioinformatically across gut commensal bacteria was paired with ABPP to identify homologs of the human protease DPP4 (hDPP4) in the model symbiont Bacteroides thetaiotaomicron. One enzyme, BT4193, was demonstrated to be a functional homolog of hDPP4 and could be inhibited by hDPP4-targeting drugs that are used for the treatment of type 2 diabetes. Furthermore, BT4193 plays an important role in envelope integrity and in B. thetaiotaomicron fitness in complex bacterial communities, indicating that off-target inhibition of bacterial enzymes by existing FDA-approved drugs can affect the gut microbiota. In totality, this work explores the diversity of serine hydrolases across commensal bacteria, characterizes the function of a skin commensal lipase and a gut commensal protease, and highlights the potential of serine hydrolases in commensal bacteria as selective drug targets.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2023; ©2023
Publication date 2023; 2023
Issuance monographic
Language English

Creators/Contributors

Author Keller, Laura Jane
Degree supervisor Bogyo, Matthew, 1971-
Thesis advisor Bogyo, Matthew, 1971-
Thesis advisor Bhatt, Ami (Ami Siddharth)
Thesis advisor Jarosz, Daniel
Thesis advisor Sonnenburg, Justin, 1973-
Degree committee member Bhatt, Ami (Ami Siddharth)
Degree committee member Jarosz, Daniel
Degree committee member Sonnenburg, Justin, 1973-
Associated with Stanford University, School of Medicine
Associated with Stanford University, Department of Chemical and Systems Biology

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Laura Jane Keller.
Note Submitted to the Department of Chemical and Systems Biology.
Thesis Thesis Ph.D. Stanford University 2023.
Location https://purl.stanford.edu/wy938gm2559

Access conditions

Copyright
© 2023 by Laura Jane Keller
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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