Implications of edge cases for antimicrobial susceptibility predictions for rifampin, delamanid, and pretomanid with the WHO Mycobacterium tuberculosis mutation catalog
Year: 2026
Type: article
Abstract: ABSTRACT The WHO mutation catalog is the reference for genotypic antimicrobial susceptibility predictions (ASPs) for Mycobacterium tuberculosis . To increase sensitivity, WHO endorsed additional grading rules to classify mutations with insufficient experimental evidence. For rifampin, this includes any non-silent rpoB mutation in the rifampin resistance-determining region (RRDR). For delamanid and pretomanid, the rules include loss-of-function (LoF) variants in six resistance genes, including fbiC . Here, we describe three edge cases in which these additional grading rules overcalled resistance. The first case was a low-frequency rpoB variant in RRDR caused by a sequencing artifact. The second case involved a tandem repeat region starting at the end of fbiC . Because the H37Rv reference genome carries 2.7 repeats, deletion of one or two full repeats caused mapping errors, making these deletions appear as minority variants that trigger the fbiC LoF rule. However, assembly showed that these deletions did not affect the fbiC coding region because the remaining repeat substituted for the deleted repeats. The third case was a fbiC frameshift in lineage 4.6.1 Uganda genotype strains, caused by a 19 bp duplication upstream of the same tandem repeat region. Although this frameshift affects the fbiC coding region and meets the fbiC LoF rule, sequence assembly revealed only a modest impact on the end of fbiC . Although catalog performance remains high, WHO and others have acknowledged that, in specific situations, exceptions to its additional grading rules may result in unintended overcalling of resistance. Thus, systematic external quality control and communication of edge cases are essential. IMPORTANCE Antimicrobial susceptibility predictions (ASPs) for Mycobacterium tuberculosis using next-generation sequencing and the WHO mutation catalog are increasingly used for clinical decision-making. This avoids systematic false-resistant results of real-time PCR- or hybridization-based ASP assays caused by mutations that do not confer resistance (e.g., synonymous rifampin resistance-determining region [RRDR] mutations) and, potentially, subsequent inappropriate treatment adjustments. However, we demonstrate that false-resistant results occur even using the WHO mutation catalog for rifampin, delamanid, and pretomanid. Similar exceptions linked to the additional grading rules of the catalog are possible for other drugs, underlining the importance of monitoring the performance of the catalog continuously.
Source: Microbiology Spectrum
Authors: Noud Hermans, Jody Phelan, Rita Sorrentino, Fenja Boysen, Norelle L. Sherry, Paolo Miotto, Daniela Maria Cirillo, Leonid Chindelevitch, Timothy C. Rodwell, Ivan Barilar, Stefan Niemann, Sönke Andres, Alexander Mischnik, Kristy Horan, Katherine Bond, Maria Globan, Mor Rubinstein, Yelena Losev, Taane G. Clark, Satoshi Mitarai, Altyn Iskakova, Andrii Slyzkyi, Claudio U. Köser, Kristin Kremer, Richard Anthony
Institutions: National Institute for Public Health and the Environment, KNCV TB Plus, London School of Hygiene & Tropical Medicine, IRCCS Ospedale San Raffaele, Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele, Research Center Borstel - Leibniz Lung Center, The University of Melbourne, Peter Doherty Institute, Austin Health, Imperial College London, University of California San Diego, German Center for Infection Research, University of Freiburg, University Medical Center Freiburg, The Royal Melbourne Hospital, Victorian Infectious Diseases Reference Laboratory, Japan Anti Tuberculosis Association, Nagasaki University, University of Cambridge
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,500
Funders: UK Research and Innovation, European Commission, European Centre for Disease Prevention and Control, Foreign, Commonwealth and Development Office, National Institutes of Health, Medical Research Council, Engineering and Physical Sciences Research Council, National Health and Medical Research Council, Wolfson College, University of Cambridge, National Institute of Allergy and Infectious Diseases
Awards: AI assisted genomic profiling for the personalisation of treatment and control of infections, G2027826458, G2347075150, MRC Centre for Global Infectious Disease Analysis, G3166327464, G393184570, G4037431191, G4926557987, G6260530459, G6452394617, Infection-AID: AI assisted genomic profiling to inform the Diagnosis, personalised treatment and control of infections, G7455513328, Harnessing pathogen genomics to understand and control antimicrobial resistance, Automated Sequencing for Culture-free Diagnosis of Drug Resistant TB
OpenAlex ID: W7204220317
