Genomic background and subinhibitory azithromycin exposure shape ceftriaxone resistance evolution in Neisseria gonorrhoeae

Abstract Combination antibiotic therapy is widely used to delay antimicrobial resistance, yet its evolutionary consequences remain poorly understood and may vary substantially across genetic backgrounds. Using short-term experimental evolution in six Neisseria gonorrhoeae strains spanning diverse resistance genotypes, we examined how ceftriaxone alone or combined with subinhibitory azithromycin shapes resistance trajectories. We show that adaptive outcomes under combination therapy are strongly dependent on genomic context. In a laboratory reference strain (ATCC 49226), ceftriaxone–azithromycin exposure triggered early disruption of DNA repair pathways, leading to hypermutation, rapid resistance amplification, and extensive diversification across efflux, envelope, and genome-maintenance pathways. In contrast, a clinical isolate (NG21) exhibiting the strongest ceftriaxone–azithromycin interaction among the strains tested failed to establish a sustained adaptive trajectory under dual pressure, despite robust adaptation under ceftriaxone monotherapy. Across the remaining strains, combination therapy consistently attenuated β-lactam resistance amplification relative to monotherapy, although the magnitude of suppression varied by genotype. Together, these results suggest that combination therapy does not impose a uniform evolutionary constraint: depending on the strain background examined, it was associated with either suppression of resistance emergence or increased evolutionary diversification. These findings highlight the importance of considering population structure and genomic context when evaluating the evolutionary consequences of combination therapies.

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Publication Details

Journal
npj Antimicrobials and Resistance
Published
2026-09-24
DOI
https://doi.org/10.1038/s44259-026-00273-w
Primary Topic
Reproductive tract infections research
Type
article
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article

Genomic background and subinhibitory azithromycin exposure shape ceftriaxone resistance evolution in Neisseria gonorrhoeae

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Reproductive tract infections research
article

Genomic background and subinhibitory azithromycin exposure shape ceftriaxone resistance evolution in Neisseria gonorrhoeae

María Escobar‐Salom, Biel Taltavull, Fernando Gómez-Romano, Bartolomé Moyá, Eva Alcoceba, Gabriel Cabot, Carlos Juan, Maria Antonia Gomis-Font, P. Ordoñez, Antonio Oliver, Daniela Salazar-Londoño, Silvia López-Argüello
article en

Abstract

Abstract Combination antibiotic therapy is widely used to delay antimicrobial resistance, yet its evolutionary consequences remain poorly understood and may vary substantially across genetic backgrounds. Using short-term experimental evolution in six Neisseria gonorrhoeae strains spanning diverse resistance genotypes, we examined how ceftriaxone alone or combined with subinhibitory azithromycin shapes resistance trajectories. We show that adaptive outcomes under combination therapy are strongly dependent on genomic context. In a laboratory reference strain (ATCC 49226), ceftriaxone–azithromycin exposure triggered early disruption of DNA repair pathways, leading to hypermutation, rapid resistance amplification, and extensive diversification across efflux, envelope, and genome-maintenance pathways. In contrast, a clinical isolate (NG21) exhibiting the strongest ceftriaxone–azithromycin interaction among the strains tested failed to establish a sustained adaptive trajectory under dual pressure, despite robust adaptation under ceftriaxone monotherapy. Across the remaining strains, combination therapy consistently attenuated β-lactam resistance amplification relative to monotherapy, although the magnitude of suppression varied by genotype. Together, these results suggest that combination therapy does not impose a uniform evolutionary constraint: depending on the strain background examined, it was associated with either suppression of resistance emergence or increased evolutionary diversification. These findings highlight the importance of considering population structure and genomic context when evaluating the evolutionary consequences of combination therapies.

npj Antimicrobials and Resistance
Openalex Percentile: Top 13%
Reproductive tract infections research
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