Circulatory biomarkers for microbial infections

Vijay Kothari1

  • 1Institute of Science, Nirma University, Ahmedabad - India.

Insights

Infectious disease diagnostics are shifting from pathogen detection to host-response profiling. New biomarkers and AI integration promise precision antimicrobial stewardship, improving patient outcomes and combating resistance.

Area of Science:

  • Infectious disease diagnostics
  • Host-response profiling
  • Antimicrobial stewardship

Background:

  • Traditional markers like C-reactive protein (CRP) and procalcitonin (PCT) lack specificity for precision antimicrobial stewardship.
  • Current diagnostics often fail to differentiate between bacterial and viral infections, complicating treatment.
  • Empiric therapy for infections has critical blind spots, particularly for fungal and protozoal pathogens.

Purpose of the Study:

  • To explore the paradigm shift in infectious disease diagnostics from pathogen detection to host-response profiling.
  • To highlight novel biomarkers and technologies for improved infection diagnosis and management.
  • To discuss the integration of advanced diagnostics with AI for precision antimicrobial stewardship.

Main Methods:

  • Review of traditional diagnostic markers (CRP, PCT) and their limitations.
  • Exploration of novel biomarkers: presepsin for bacterial infections, mRNA signatures for viral/bacterial differentiation.
  • Inclusion of pan-microbial surveillance markers (BDG, Galactomannan, HRP2/pLDH) for broader pathogen detection.

Main Results:

  • Presepsin emerges as a superior early-phase bacterial biomarker.
  • Multi-parametric mRNA signatures demonstrate high sensitivity in differentiating viral from bacterial infections.
  • Expanded surveillance markers address limitations in empiric therapy for fungal and protozoal infections.

Conclusions:

  • Circulatory biomarkers and AI-driven decision support are transforming infectious disease diagnostics.
  • This shift enables precision antimicrobial stewardship, moving away from broad empiric treatments.
  • Timely and accurate infection etiology determination within the "golden hour" can improve patient outcomes and combat antibiotic resistance.

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