ReviewNature ecology & evolution2026
Evolutionary drivers of divergent collateral sensitivity responses during antibiotic therapy.
Review in Nature ecology & evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Computational framework for streamlining the success of sequential antibiotic therapy.npj antimicrobials and resistance · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
With antibiotic resistance on the rise and the development of new antibiotics stagnating, novel antimicrobial strategies that slow down resistance evolution and extend the lifetime of existing drugs are urgently needed. One possible solution focuses on rationalizing antimicrobial combination and cycling therapies on the basis of the concept of collateral sensitivity, in which resistance mutations acquired against one antibiotic increase the susceptibility towards a second antibiotic. However, the clinical potential of collateral sensitivity is still uncertain as collateral responses for the same combination of antibiotics may vary from collateral sensitivity to cross-resistance, depending on stochasticity, environmental conditions and the genetic background of the pathogen. This Review therefore discusses the drivers behind this variability and proposes that they can influence collateral sensitivity either by selecting different resistance mutations with distinct collateral responses or by modulating how a given resistance mutation affects the cell, thereby altering or even inverting the collateral response. Moreover, we discuss the dynamics of collateral sensitivity in duotherapy and highlight how the selection of multi-drug resistance may contribute to the variability in treatment outcomes. To aid the translation of collateral sensitivity to a clinical setting, we finally present several strategies that could circumvent the variability in collateral sensitivity outcomes.
Indexed as
Identifiers
40846761What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.