Publications by authors named "Quan Chanthalangsy"

Article Synopsis
  • Resistance to cefiderocol, a new antibiotic, in E. coli linked to metallo-β-lactamases like NDM-5 and VIM-1, while KPC-2 and OXA-48 do not contribute.
  • The study involved transferring β-lactamases into E. coli and testing their ability to develop resistance through serial exposure to cefiderocol.
  • Notable changes in the bacterial morphology and the emergence of small-colony variants (SCVs) were observed, potentially affecting how these bacteria evade the immune system and respond to treatment.
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Article Synopsis
  • Cefiderocol is a new antibiotic that targets multidrug-resistant Gram-negative bacteria and is resistant to certain enzymes that typically break down antibiotics.
  • However, there have been instances where bacteria producing metallo-β-lactamases have developed resistance to cefiderocol during treatment.
  • Research showed that a specific enzyme (NDM) helps bacteria gain resistance through mutations, but using dipicolinic acid can inhibit these enzymes and reduce the chances of resistance, highlighting the need for caution in treatment choices.
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Trimethoprim-sulfamethoxazole (SXT) is a valuable second-line antimicrobial agent to treat methicillin-resistant Staphylococcus aureus infections. Discrepancies between various antibiotic susceptibility testing (AST) methods for SXT susceptibility in S. aureus have been described.

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As whole genome sequencing is becoming more accessible and affordable for clinical microbiological diagnostics, the reliability of genotypic antimicrobial resistance (AMR) prediction from sequencing data is an important issue to address. Computational AMR prediction can be performed at multiple levels. The first-level approach, such as simple AMR search relies heavily on the quality of the information fed into the database.

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