Exploring Mycobacterium Tuberculosis Resistance Patterns to Antibiotics: A BV-BRC Study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Exploring Mycobacterium Tuberculosis Resistance Patterns to Antibiotics: A BV-BRC Study Mohammadali Serajian, Conrad Testagrose, Mattia Prosperi, Christina Boucher This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4320417/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 11 Feb, 2025 Read the published version in Scientific Reports → Version 1 posted 11 You are reading this latest preprint version Abstract World Health Organization estimates that there were over 10 million cases of tuberculosis (TB) worldwide in 2019, resulting in over 1.4 million deaths, with a worrisome increasing trend yearly. The disease is caused by Mycobacterium tuberculosis (MTB) through airborne transmission. Treatment of TB is estimated to be 85% successful, however, this drops to 57% if MTB exhibits multiple antimicrobial resistance (AMR), for which fewer treatment options are available. In this paper, we provide an in-depth look at the genetic basis of MTB antibiotic resistance, using the Bacterial and Viral Bioinformatics Resource Center (BV-BRC) and analyzing over 27,000 MTB genomic strains from the BV-BRC database. Our findings offer a detailed picture of resistance prevalence and AMR gene frequencies, especially for second-line and last-resort antibiotics, contributing valuable insights into MTB AMR mechanics and supporting future research and clinical strategies against MTB. Biological sciences/Computational biology and bioinformatics Biological sciences/Microbiology Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 11 Feb, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 03 Oct, 2024 Reviews received at journal 15 Aug, 2024 Reviews received at journal 07 Jun, 2024 Reviews received at journal 07 Jun, 2024 Reviewers agreed at journal 17 May, 2024 Reviewers agreed at journal 15 May, 2024 Reviewers invited by journal 10 May, 2024 Editor assigned by journal 05 May, 2024 Editor invited by journal 30 Apr, 2024 Submission checks completed at journal 26 Apr, 2024 First submitted to journal 24 Apr, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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