Development and validation of a hierarchical machine learning method using MALDI-TOF mass spectrometry for rapid SCCmec typing and PVL detection in MRSA: a multi-centre study.

Journal: Emerging microbes & infections
Published Date: Dec 1, 2025

Abstract

OBJECTIVES: Methicillin-resistant (MRSA) is a major public health concern because of its genotypic diversity and association with severe infections, particularly those caused by strains carrying Panton-Valentine leukocidin (PVL). This study aimed to develop an artificial intelligence-clinical decision support system (AI-CDSS) to streamline MRSA genotyping and PVL detection, providing a more efficient alternative to complex PCR-based workflows.

Authors

  • Tai-Han Lin
    Department of Pathology, Division of Clinical Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.
  • Ming-Jr Jian
    Department of Pathology, Division of Clinical Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.
  • Fujiko Mitsumoto-Kaseida
    Department of Laboratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
  • Norihito Kaku
    Department of Laboratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
  • Hsing-Yi Chung
    Department of Pathology, Division of Clinical Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China; Graduate Institute of Medical Science, National Defense Medical Center, Taipei, Taiwan, Republic of China.
  • Chih-Kai Chang
    Department of Pathology, Division of Clinical Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.
  • Cherng-Lih Perng
    Department of Pathology, Division of Clinical Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.
  • Yung-Chih Wang
    Division of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Centre, Taipei, Taiwan, ROC.
  • Chih-Chien Wang
    Department of Orthopedics Tri-Service General Hospital, National Defense Medical Center Taipei Taiwan.
  • Yuan-Hao Chen
    Department of Neurological Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.
  • Katsunori Yanagihara
    Department of Laboratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
  • Hung-Sheng Shang
    Department of Pathology, Division of Clinical Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China. Electronic address: iamkeith001@gmail.com.

Keywords

External Resources

Popular Topics
Recent Journals