A rapid bio-optical sensor for diagnosing Q fever in clinical specimens

Bonhan Koo1, Choong Eun Jin1, Se Yoon Park2

  • 1Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine and the Biomedical Engineering Research Center, Asan Institute of Life Sciences 88 Olympicro-43gil, Songpa-gu, Seoul, Republic of Korea.

Journal of Biophotonics
|October 13, 2017
PubMed

Insights

A new bio-optical sensor rapidly detects Coxiella burnetii, the cause of Q fever. This diagnostic tool offers a fast, single-step method for identifying Q fever in clinical samples with high sensitivity.

Area of Science:

  • Biotechnology
  • Infectious Diseases
  • Diagnostics

Background:

  • Zoonotic outbreaks necessitate rapid diagnostic tools for pathogen control.
  • Q fever, caused by Coxiella burnetii, is a serious zoonotic disease with potential bioterrorism implications.
  • Existing diagnostic assays for Coxiella burnetii lack sensitivity for detecting low pathogen levels in clinical samples.

Purpose of the Study:

  • To develop and validate a rapid bio-optical sensor for accurate Q fever detection.
  • To address the limitations of current diagnostic methods for Coxiella burnetii.

Main Methods:

  • Development of a label-free, real-time bio-optical sensor utilizing binding-induced refractive index changes.
  • Integration of the bio-optical sensor with isothermal DNA amplification for a single-step assay.
  • Validation of the diagnostic tool using clinical samples, including formalin-fixed liver biopsies and blood plasma.

Main Results:

  • The developed diagnostic tool provides rapid (<20 minutes) detection of Coxiella burnetii DNA.
  • The assay demonstrated high clinical sensitivity (>90%) in detecting the pathogen in patient samples.
  • Successful detection of Coxiella burnetii in liver biopsies from Q fever hepatitis patients and plasma from fever of unknown origin cases.

Conclusions:

  • The rapid bio-optical sensor offers a promising new diagnostic method for Q fever.
  • This technology enables swift and accurate identification of Coxiella burnetii, aiding in disease management and control.
  • The sensor's high sensitivity and speed make it suitable for clinical applications, including outbreak scenarios.