Identification of Mycobacterium tuberculosis Peptides in Serum Extracellular Vesicles from Persons with Latent Tuberculosis Infection

Author:

Mehaffy Carolina12,Kruh-Garcia Nicole A.1,Graham Barbara1,Jarlsberg Leah G.3,Willyerd Charis E.4,Borisov Andrey5,Sterling Timothy R.6,Nahid Payam3,Dobos Karen M.1ORCID

Affiliation:

1. Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA

2. Proteomic and Metabolomics Facility, Colorado State University, Fort Collins, Colorado, USA

3. Division of Pulmonary and Critical Care Medicine, University of California San Francisco, Zuckerberg San Francisco General, San Francisco, California, USA

4. Clinical Data Science Associates, LLC, Fort Collins, Colorado, USA

5. Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia, USA

6. Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA

Abstract

Identification of biomarkers for latent Mycobacterium tuberculosis infection and risk of progression to tuberculosis (TB) disease are needed to better identify individuals to target for preventive therapy, predict disease risk, and potentially predict preventive therapy efficacy. Our group developed multiple reaction monitoring mass spectrometry (MRM-MS) assays that detected M. tuberculosis peptides in serum extracellular vesicles from TB patients. We subsequently optimized this MRM-MS assay to selectively identify 40 M. tuberculosis peptides from 19 proteins that most commonly copurify with serum vesicles of patients with TB.

Funder

HHS | NIH | National Institute of Allergy and Infectious Diseases

Colorado State University

Bill and Melinda Gates Foundation

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

Reference76 articles.

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