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Updated: Aug 1, 2025
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High Throughput Sequential ELISA for Validation of Biomarkers of Acute Graft-Versus-Host Disease
Published on: October 31, 2012
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[Relevant biomarkers in infectiology]
Deutsche Medizinische Wochenschrift (1946)
|April 27, 2023
Summary
Infectious disease biomarkers like C-reactive protein and procalcitonin are evaluated for identifying pathogens and guiding treatment duration. The study explores advanced methods, including omics and AI, for discovering superior diagnostic tools.
Area of Science:
- Infectious diseases and clinical diagnostics.
- Biomarker discovery and validation.
- Medical technology and artificial intelligence.
Context:
- Effective biomarkers are crucial in infectiology for pathogen identification, clinical response monitoring, and treatment duration management.
- Current biomarkers, such as C-reactive protein and procalcitonin, have limitations in fully meeting these clinical needs.
- The search for novel biomarkers is essential to improve patient outcomes and optimize antimicrobial stewardship.
Purpose:
- To assess the extent to which C-reactive protein and procalcitonin fulfill the ideal requirements of an infectiology biomarker.
- To report on ongoing research into novel biomarkers utilizing advanced technologies.
- To explore the potential of "omics"-based approaches and artificial intelligence in biomarker discovery.
Summary:
- C-reactive protein and procalcitonin partially meet the criteria for ideal infectiology biomarkers, particularly in monitoring inflammation and guiding treatment duration in certain infections.
- "Omics"-based technologies (genomics, proteomics, metabolomics) offer promising avenues for identifying novel, more specific biomarkers.
- Artificial intelligence can accelerate biomarker discovery and interpretation by analyzing complex datasets from "omics" and clinical information.
Impact:
- Improved diagnostic accuracy and earlier detection of infectious agents.
- More precise monitoring of treatment response, potentially reducing unnecessary antibiotic use.
- Development of next-generation biomarkers for personalized infection management and enhanced patient care.
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