Distinct chromosomal mutation associated with cefiderocol resistance in Acinetobacter baumannii: a combined bioinformatics and mass spectrometry approach to unveil and validate the in vivo-acquired chemoresistance
2024

New Mutation Linked to Antibiotic Resistance in Acinetobacter baumannii

Sample size: 2 publication 10 minutes Evidence: high

Author Information

Author(s): Morosi Lavinia, Golzato Davide, Bussini Linda, Guma Hygerda, Tordato Federica, Armanini Federica, Asif Zian, Carella Francesco, Morelli Paola, Bartoletti Michele, Da Rin Giorgio, Casari Erminia, Martano Giuseppe, Rescigno Maria, Segata Nicola, Carloni Sara, Cento Valeria

Primary Institution: IRCCS Humanitas Research Hospital

Hypothesis

This study aims to characterize a novel mutation responsible for cefiderocol resistance in Acinetobacter baumannii and to develop a workflow that integrates genomic and functional analyses for improved antimicrobial resistance monitoring.

Conclusion

The study identifies a novel chromosomal mutation in Acinetobacter baumannii that is associated with resistance to cefiderocol, highlighting the importance of genomic and functional analyses in monitoring antibiotic resistance.

Supporting Evidence

  • The study identified a 10-base deletion in a gene associated with antibiotic resistance.
  • Mass spectrometry confirmed reduced antibiotic uptake in the resistant strain.
  • Whole-genome sequencing revealed high genetic similarity between the resistant and susceptible strains.

Takeaway

Researchers found a new mutation in a bacteria that makes it resistant to a strong antibiotic, which could help doctors better track and treat infections.

Methodology

The study used whole-genome sequencing and mass spectrometry to analyze two Acinetobacter baumannii isolates from patients, focusing on identifying mutations linked to cefiderocol resistance.

Limitations

The initial isolate from patient A was not collected, making it impossible to confirm the development of resistance under drug pressure.

Participant Demographics

Two patients with acute myeloid leukemia were studied, one 67 years old and the other 50 years old.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3389/fmicb.2024.1480322

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