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The Journal of infectious diseases

October 14, 2026 · via Europe PMC

In-patient evolution can heterogeneously impact biofilm formation and intraosteoblastic behavior of Staphylococcus aureus in relapsing bone and joint infections.

Collet Q, Curtil-Dit-Galin M, Faure A, Martins-Simoes P, Bastien S, Valour F, Laurent F, Josse J

Journal ArticleAbstract only — full text under license

AI summary — for doctors, generated from the abstract only

S. aureus isolates from relapsing bone and joint infections often acquired many mutations in the patient and showed varied phenotypes, but no specific mutation or trait was linked to relapse.

What was studied

Comparison of 25 pairs of initial and relapse S. aureus isolates from the same patients, using whole-genome comparison and phenotyping for growth, biofilm formation, osteoblast internalization, intracellular persistence and cytotoxicity.

Key findings

  • Most relapse strains accumulated mutations during the in-patient stay, ranging from 0 to 391
  • Growth, biofilm and intracellular behavior were heterogeneous compared with initial strains
  • Mutations in virulence-regulation and metabolic genes may contribute, but no specific mutation or phenotype was associated with relapse occurrence

Clinical relevance

Suggests relapse is not explained by one consistent bacterial adaptation, which complicates the search for markers predicting treatment failure.

Who should care

Infectious Disease

Limitations

Only 25 pairs, with no relapse-vs-nonrelapse comparison group evident, and in vitro phenotyping; the authors call it a first step.

In-patient evolution is common and heterogeneous, with no clear relapse signature yet.

This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.

Abstract

BACKGROUND

Bone and joint infections caused by Staphylococcus aureus are notoriously difficult to manage and are prone to relapse, often leading to serious clinical complications. Treatment failure is frequently attributed to bacterial persistence mechanisms, notably biofilm formation and intracellular survival within osteoblasts.

METHODS

To elucidate the underlying causes of relapse, we analyzed 25 relapse pairs, each consisting of an isolate collected during the initial infection and a corresponding isolate obtained at relapse from the same patient. We investigated mutation acquisition in relapse strain during host in-patient stay and assessed their phenotypic consequences, focusing on bacterial growth, biofilm formation, internalization into osteoblasts, intracellular persistence, and cytotoxicity.

RESULTS

Whole-genome comparisons revealed that most relapse strains accumulated mutations during the host in-patient stay, with mutation counts ranging from 0 to 391. These genetic changes variably affected key phenotypes across the relapse strains. Specifically, growth kinetics, biofilm-forming capacity, and intracellular behavior exhibited heterogeneity when compared to initial strains. Integrative analysis of genomic and phenotypic data indicates that mutations in genes involved in virulence regulation and metabolic pathways may contribute to the relapse of S. aureus BJIs. However, no association between specific mutations or phenotypes and the occurrence of relapse in bone and joint infections has been highlighted.

CONCLUSION

Despite its limitations, this study represents an essential first step toward large-scale investigations aimed at understanding how bacterial genome alterations and pathophysiological mechanisms contribute to relapse in bone and joint infections.

DOI

10.1093/infdis/jiag512

PMID

42874063

Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.

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