Back to Search
Start Over
Mutational signature analysis predicts bacterial hypermutation and multidrug resistance.
- Source :
-
Nature communications [Nat Commun] 2025 Jan 02; Vol. 16 (1), pp. 19. Date of Electronic Publication: 2025 Jan 02. - Publication Year :
- 2025
-
Abstract
- Bacteria of clinical importance, such as Pseudomonas aeruginosa, can become hypermutators upon loss of DNA mismatch repair (MMR) and are clinically correlated with high rates of multidrug resistance (MDR). Here, we demonstrate that hypermutated MMR-deficient P. aeruginosa has a unique mutational signature and rapidly acquires MDR upon repeated exposure to first-line or last-resort antibiotics. MDR acquisition was irrespective of drug class and instead arose through common resistance mechanisms shared between the initial and secondary drugs. Rational combinations of drugs having distinct resistance mechanisms prevented MDR acquisition in hypermutated MMR-deficient P. aeruginosa. Mutational signature analysis of P. aeruginosa across different human disease contexts identified appreciable quantities of MMR-deficient clinical isolates that were already MDR or prone to future MDR acquisition. Mutational signature analysis of patient samples is a promising diagnostic tool that may predict MDR and guide precision-based medical care.<br />Competing Interests: Competing interests: K.M.H., L.G.W., Z.F.P., and L.A.M. are inventors of patent application #PCT/US2024/014280. K.M.H. and L.G.W. are employed by and are shareholders of Informuta, Inc. The remaining authors declare no competing interests.<br /> (© 2024. The Author(s).)
- Subjects :
- Humans
Pseudomonas Infections microbiology
Pseudomonas Infections drug therapy
Microbial Sensitivity Tests
DNA Mutational Analysis
Bacterial Proteins genetics
Bacterial Proteins metabolism
Drug Resistance, Multiple, Bacterial genetics
Pseudomonas aeruginosa genetics
Pseudomonas aeruginosa drug effects
DNA Mismatch Repair genetics
Mutation
Anti-Bacterial Agents pharmacology
Subjects
Details
- Language :
- English
- ISSN :
- 2041-1723
- Volume :
- 16
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Nature communications
- Publication Type :
- Academic Journal
- Accession number :
- 39746975
- Full Text :
- https://doi.org/10.1038/s41467-024-55206-w