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Diagnosis and classification of infective endocarditis via efficient serum metabolic fingerprint analysis

Ayizekeranmu Yiming1, Xinxin Ma2, Xiran Chen3

  • 1Department of Clinical Laboratory Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, PR China; School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, PR China.

Biosensors & Bioelectronics
|January 30, 2026
PubMed

Insights

A new nanoparticle-enhanced laser desorption/ionization mass spectrometry (NPELDI MS) platform offers rapid diagnosis of infective endocarditis (IE) and bacterial classification in minutes. This method bypasses lengthy blood cultures, improving patient outcomes.

Area of Science:

  • Cardiovascular Infectious Diseases
  • Analytical Chemistry
  • Biomarker Discovery

Background:

  • Infective endocarditis (IE) is a life-threatening condition with high mortality.
  • Current diagnostic criteria (2023 Duke-ISCVID) are complex and time-consuming.
  • Blood cultures, while essential, delay diagnosis and treatment by 2-5 days.

Purpose of the Study:

  • To develop a rapid, culture-free diagnostic platform for IE.
  • To enable simultaneous IE diagnosis and etiological classification.
  • To improve timely therapeutic decision-making in IE management.

Main Methods:

  • Development of a nanoparticle-enhanced laser desorption/ionization mass spectrometry (NPELDI MS) platform.
  • Acquisition of serum metabolic fingerprints (SMFs) using the NPELDI MS platform.
  • Integration of machine learning algorithms for data analysis and classification.

Main Results:

  • The NPELDI MS platform achieved accurate IE diagnosis with an AUC of 0.882.
  • Rapid classification of streptococcal species within 10 minutes.
  • Simultaneous IE diagnosis and classification achieved in a single assay, bypassing culture.

Conclusions:

  • The NPELDI MS platform offers a rapid, culture-free method for IE diagnosis and classification.
  • This technology addresses critical unmet needs in IE management.
  • The platform has transformative potential for improving patient outcomes through timely treatment.

Keywords:
ClassificationDiagnosisInfective endocarditisLaser desorption/ionization mass spectrometrySerum metabolic fingerprint

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