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.

Insights

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.
Abstract

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