Rapid identification and methicillin resistance test to Staphylococcus aureus in cerebrospinal fluid by MALDI-TOF MS

Mengyu Zhang1, Xuanxuan Wang2, Wei Huang3

  • 1Wanbei Coal Electricity Group General Hospital, Suzhou, China.

Microbiology Spectrum
|April 3, 2026
PubMed

Insights

Rapidly identify Staphylococcus aureus and its drug resistance in cerebrospinal fluid within 11 hours. This method combines bacterial enrichment and MALDI-TOF MS for faster diagnosis of bacterial meningitis.

Area of Science:

  • Microbiology
  • Clinical Diagnostics
  • Mass Spectrometry

Background:

  • Bacterial meningitis poses significant mortality and morbidity risks.
  • Early diagnosis and prompt antimicrobial treatment are crucial for patient outcomes.
  • Accurate identification of pathogens and their resistance profiles is essential.

Purpose of the Study:

  • To investigate a novel method for rapid identification of Staphylococcus aureus (S. aureus) and its drug resistance.
  • To combine centrifugation-based bacterial enrichment with MALDI-TOF MS for enhanced diagnostic speed.
  • To establish a streamlined workflow for S. aureus detection in cerebrospinal fluid (CSF).

Main Methods:

  • Cerebrospinal fluid samples were subjected to centrifugation-based bacterial enrichment.
  • Rapid culture and subsequent identification using MALDI-TOF MS.
  • Drug resistance analysis, including cefoxitin resistance, was performed using MALDI-TOF MS after short incubation.

Main Results:

  • Centrifugation-based enrichment demonstrated high efficiency for S. aureus detection.
  • 100% identification efficiency was achieved after an 8-hour culture.
  • Optimal bacterial resistance identification was achieved within 3 hours of culture, with 100% validity, sensitivity, and specificity.
  • The entire protocol, from sample to result, was completed within 11 hours.

Conclusions:

  • The combined method offers a rapid and accurate approach for S. aureus identification and drug resistance analysis in CSF.
  • This technique can significantly shorten the time to diagnosis for bacterial meningitis.
  • The findings support the implementation of this novel method for improved patient management and targeted antibiotic therapy.