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Updated: May 14, 2026

Using a Bacterial Pathogen to Probe for Cellular and Organismic-level Host Responses
Published on: February 22, 2019
Circulatory biomarkers for microbial infections
1Institute of Science, Nirma University, Ahmedabad - India.
Abstract:
This article explores the paradigm shift in infectious disease diagnostics from direct pathogen detection to host-response profiling. While traditional markers like C-reactive protein (CRP) and procalcitonin (PCT) are clinical staples, they lack the specificity required for precision antimicrobial stewardship. The perspective highlights the emergence of presepsin as a superior early-phase bacterial biomarker and the development of multi-parametric mRNA signatures that differentiate viral from bacterial etiologies with high sensitivity. Furthermore, the expansion into pan-microbial surveillance, incorporating fungal (BDG, Galactomannan) and protozoal (HRP2/pLDH) markers, addresses critical blind spots in empiric therapy. Despite challenges regarding cost and standardization, the integration of these circulatory biomarkers with AI-driven decision support is poised to slowly replace empiric treatment with precision stewardship. This transition enables the triangulation of infection etiology within the clinical "golden hour", ultimately improving patient outcomes and combating antibiotic resistance.
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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