New paper: quantitative measurement of effect of mutations on antibiotics in M. tuberculosis Philip Fowler, 15th January 202415th January 2024 The CRyPTIC project played a major role in the release by the WHO of their first catalogue of resistance-conferring mutations in M. tuberculosis by collecting and collating many thousands of samples. All the available resistance catalogues make a binary prediction (whether a sample is Resistant or Susceptible). One thing CRyPTIC did a bit differently was measure the minimum inhibitory concentration (MIC) of each of 13 different antibiotics using a broth micro dilution 96-well plate — MICs are semi-quantitative in that they follow a doubling dilution and, due to limited numbers of wells, only span a fixed interval of concentrations. In this paper, Josh Carter and others on behalf of the consortium has analysed the 15,211 samples that CRyPTIC collected and both underwent whole genome sequencing and went on the project’s UKMYC plates so have MIC data available, thereby estimating the quantitative effect of individual mutations on the MIC. This is the first step towards a genuinely quantitative catalogue — this could bring large clinical benefits since some mutations generally accepted as conferring mutations (e.g. c-15t in fabG1) do not, on their own, increase the MIC as much as say S315T in katG. Obviously following further work, one could see how some mutations, when present on their own, could still be treated with the conventional antibiotic at a higher-dose, assuming that is clinically appropriate. Conversely, this work also shows how some mutations that when present on their own lead to a moderate increase in MIC, can lead to a large increase in MIC when both are present in a single sample. Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Related antimicrobial resistance clinical microbiology publication research tuberculosis
antimicrobial resistance Updating the Grammar for Antimicrobial Resistance Catalogues 18th July 202418th July 2024 This blog updates an old (and now out of date) post describing the grammar we’ve… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New preprint: rapid prediction of AMR by free energy methods 15th January 202015th January 2020 The story behind this preprint goes back to the workshop on free energy methods run… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
clinical microbiology New paper: Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny 9th February 20269th February 2026 Zam Iqbal, at the University of Bath, led this epic study published today in Nature… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More