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Life sciences · Journal article
Infectious Disease Modelling · July 23, 2026
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This longitudinal modelling study of Corynebacterium striatum resistance data (2013–2025) identifies a statistically significant structural transition around 2020, characterised by collapse of aminoglycoside-containing architectures and convergence toward a simplified phenotypic state space. The findings suggest resistance evolution may proceed via reorganisation rather than linear accumulation, but lack clinical validation and mechanistic explanation.
Longitudinal observational study with segmented regression, multinomial modelling, entropy-based metrics, and Markov transition analysis. Corynebacterium striatum; isolate source, selection criteria, and clinical context not stated..
Significant structural breakpoint identified around 2020 (Davies' test p < 0.001) Prior to 2020, aminoglycoside-containing resistance architectures prevalent; after 2020, replaced by aminoglycoside-negative, fluoroquinolone-associated configurations Phenotypic diversity declined significantly over time, indicating contraction of resistance state space
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The hypothesis of structural transitions in resistance dynamics may inform monitoring strategies and forecasting approaches, but lacks direct evidence of clinical consequence or actionability for treatment decisions.
Observational modelling study identifying a structural transition in resistance dynamics with statistical support for a breakpoint, but lacking clinical outcomes, mechanistic validation, or comparison to interventions.
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The hypothesis of structural transitions in resistance dynamics may inform monitoring strategies and forecasting approaches, but lacks direct evidence of clinical consequence or actionability for treatment decisions.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
Antimicrobial resistance (AMR) is typically interpreted as a process of gradual accumulation of resistance traits. However, resistance systems may instead undergo structural transitions under changing selective pressures. We investigated whether long-term AMR dynamics in Corynebacterium striatum reflect accumulation or reorganization of a constrained phenotypic state space. Longitudinal resistance data (2013-2025) were analyzed using segmented regression, multinomial modeling, entropy-based diversity metrics, and Markov transition analysis to characterize temporal dynamics, architecture distributions, and system-level behavior. A significant structural breakpoint was identified around 2020 (Davies' test p < 0.001). The estimated breakpoint location showed limited uncertainty based on model-based confidence interval estimation. Prior to 2020, aminoglycoside-containing resistance architectures were prevalent, whereas after 2020 they collapsed and were replaced by aminoglycoside-negative, fluoroquinolone-associated configurations. Phenotypic diversity declined significantly over time, indicating contraction of the resistance state space. Markov analysis demonstrated convergence toward a stable stationary distribution dominated by two related architectures, with increased dynamical stability after the breakpoint. AMR dynamics in C. striatum reflect a structural transition and restructuring within the simplified state space rather than progressive accumulation of resistance traits. The system converges toward a low-diversity phenotypic attractor, highlighting the importance of dynamical systems approaches in understanding resistance evolution.
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