P-1696. Rapid, Comprehensive TB Diagnosis and Resistance Profiling with Deeplex Myc-TB: A Clinically Actionable NGS Approach
Marie-Claire Rowlinson, Matthew Schimenti, Patrick Valois, Norma Ordaz-Yuan, Andrew Lin, Justin Ng, Kyle Rhoden, Ramin Khaksar

TL;DR
Deeplex Myc-TB is a fast and accurate NGS test for diagnosing TB and detecting drug resistance, with a new automated version that reduces testing time.
Contribution
The study evaluates the performance of an automated version of the Deeplex Myc-TB assay, significantly reducing turnaround time for TB diagnosis.
Findings
The manual Deeplex Myc-TB assay had an 82.6% success rate on 380 clinical samples.
The automated version reduced the turnaround time from 4 days to 31 hours.
The assay detected drug resistance in 6.5% of samples, with high concordance to phenotypic testing.
Abstract
Timely diagnosis of Mycobacterium tuberculosis (MTB) and its drug resistance profile is essential for initiating effective therapy, especially in the context of rising multidrug-resistant TB (MDR-TB) and the availability of new drugs and drug regimens. The Deeplex® Myc-TB assay is a targeted next-generation sequencing (NGS) assay that provides rapid, high-resolution detection of MTB complex species, resistance-associated mutations to 15 anti-TB drugs, and phylogenetic lineage. We applied the GenoScreen Deeplex® Myc-TB assay to DNA extracted from 380 clinical specimens from Florida, U.S. Sequencing was performed on an Illumina platform, with results interpreted via the Deeplex bioinformatics pipeline. Manual assay performance was also compared against a fully automated Deeplex® Myc-TB workflow on the Clear Dx™ system. The assay was performed on 380 primary clinical samples with a…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTuberculosis Research and Epidemiology · Mycobacterium research and diagnosis · Diagnosis and treatment of tuberculosis
