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Related Experiment Video

Updated: Aug 29, 2025

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
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Whole blood transcriptome analysis in onchocerciasis.

Ole Lagatie1, Linda Batsa Debrah2,3, Alex Y Debrah4,3

  • 1Johnson & Johnson Global Public Health, Janssen R&D, Turnhoutseweg 30, 2340 Beerse, Belgium.

Current Research in Parasitology & Vector-Borne Diseases
|September 9, 2022
PubMed
Summary

Researchers identified a 7-gene classifier to detect Onchocerca volvulus infection. This molecular tool shows promise for monitoring infection, aiding mass drug administration, and evaluating new treatments for this parasitic disease.

Keywords:
Gene expressionImmune evasionOnchocerca volvulusOnchocerciasisRICTORTh17

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Area of Science:

  • Immunology
  • Molecular Biology
  • Parasitology

Background:

  • Understanding the human host's molecular response to Onchocerca volvulus infection is crucial for controlling this parasitic disease.
  • Limited knowledge exists regarding the cellular immune response during O. volvulus infection.

Purpose of the Study:

  • To identify molecular mechanisms underlying the host's response to O. volvulus infection.
  • To develop a gene-expression-based classifier for predicting O. volvulus infection.

Main Methods:

  • Transcriptomic analysis of whole blood from infected individuals and controls.
  • Pathway and upstream regulator analyses to identify key molecular pathways and regulators.
  • Development and validation of a 7-gene classifier using RT-qPCR and logistic regression.

Main Results:

  • Significant differential gene expression was observed in infected individuals, impacting oxidative phosphorylation and protein translation.
  • The mTOR-associated protein RICTOR was identified as a key upstream regulator.
  • A 7-gene classifier demonstrated high sensitivity (96.0%) and specificity (92.3%) when combining discovery and validation sets.

Conclusions:

  • A 7-gene molecular classifier shows potential for detecting O. volvulus infection.
  • This classifier could serve as a marker for infection in mass drug administration surveys and epidemiological studies.
  • The classifier may also function as a pharmacodynamic marker in clinical trials for macrofilaricides.