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Updated: May 1, 2026

Using a Bacterial Pathogen to Probe for Cellular and Organismic-level Host Responses
Published on: February 22, 2019
Detecting specific infections in children through host responses: a paradigm shift
Asuncion Mejias1, Nicolas M Suarez, Octavio Ramilo
1Division of Pediatric Infectious Diseases, Center for Vaccines and Immunity, Nationwide Children's Hospital, The Ohio State University, Columbus, Ohio, USA.
Analyzing blood cell gene expression (transcriptome) offers a powerful new way to diagnose infectious diseases and understand how the body fights them. This approach helps classify patients by disease severity, improving patient management.
Area of Science:
- Immunology
- Infectious Diseases
- Genomics
Background:
- Current infectious disease diagnosis relies heavily on pathogen detection.
- A comprehensive analysis of the host's immune response offers an alternative diagnostic strategy.
- Understanding host response is crucial for optimal patient classification and management.
Purpose of the Study:
- To review the diagnostic and management value of transcriptome analyses of blood leukocytes in infectious diseases.
- To highlight the potential of host response profiling as a complementary diagnostic tool.
- To explore the utility of transcriptomics in classifying disease severity.
Main Methods:
- Review of existing studies utilizing transcriptome analysis of blood leukocytes.
- Focus on microarray-based gene expression profiling.
- Validation of transcriptional signatures across diverse infectious agents and patient cohorts.
Main Results:
- Pathogen-specific transcriptional signatures identified in blood leukocytes for various viral and bacterial infections.
- Validated signatures for numerous diseases including malaria, dengue, tuberculosis, and HIV.
- Transcriptome analysis aids in understanding disease pathogenesis and objective patient classification by severity.
Conclusions:
- Blood transcriptome analyses are reproducible and valuable for studying host immune responses in clinical settings.
- Combining pathogen detection with host response assessment offers novel insights into disease dynamics.
- This integrated approach enhances understanding of host-pathogen interactions and clinical manifestations.
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