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Double-Stranded RNA-Based Method for Diagnosing Severe Fever with Thrombocytopenia.

Jung Wan Park1, Jaemin Jeon2, Yoosik Kim2

  • 1Department of Internal Medicine, Division of Infectious Disease, Soonchunhyang University Hospital, Cheonan 31151, Republic of Korea.

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Summary

Elevated blood double-stranded RNA (dsRNA) levels can help diagnose severe fever with thrombocytopenia syndrome (SFTS) infection. This novel method shows potential for differentiating SFTS from other conditions with similar symptoms.

Keywords:
RNA extraction methodsSFTSdouble-stranded RNAmolecular diagnosticsspiropyran-based methodtick-borne diseases

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Area of Science:

  • Virology
  • Molecular Diagnostics
  • Infectious Diseases

Background:

  • Severe Fever with Thrombocytopenia Syndrome (SFTS) presents with non-specific symptoms, complicating early diagnosis.
  • Distinguishing SFTS from other febrile illnesses with similar presentations is clinically challenging.
  • There is a need for rapid and accurate diagnostic tools for SFTS.

Purpose of the Study:

  • To investigate the potential of blood double-stranded RNA (dsRNA) levels as a diagnostic biomarker for SFTS.
  • To evaluate the utility of dsRNA quantification in differentiating SFTS from other conditions.
  • To explore the correlation between dsRNA levels and SFTS infection severity.

Main Methods:

  • Quantitative analysis of total dsRNA expression in blood samples from SFTS patients, healthy controls, and patients with scrub typhus.
  • Utilized a spiropyran-based method for dsRNA quantification.
  • Comparative analysis of dsRNA levels across different study groups.

Main Results:

  • Significantly elevated blood dsRNA levels were observed in SFTS patients compared to healthy and scrub typhus controls.
  • The dsRNA levels demonstrated potential for assessing SFTS infection severity.
  • The spiropyran-based method proved effective in quantifying dsRNA.

Conclusions:

  • Total blood dsRNA expression serves as a promising, rapid, and convenient biomarker for SFTS diagnosis.
  • This method can effectively differentiate SFTS from non-viral conditions with overlapping clinical symptoms.
  • The findings support the development of dsRNA-based diagnostics for SFTS.