Identification of Torquetenovirus Species in Patients with Kawasaki Disease Using a Newly Developed Species-Specific PCR Method

Author:

Spezia Pietro Giorgio1ORCID,Filippini Fabio1ORCID,Nagao Yoshiro23ORCID,Sano Tetsuya2,Ishida Takafumi4,Maggi Fabrizio5ORCID

Affiliation:

1. Department of Translational Research, University of Pisa, 56127 Pisa, Italy

2. Department of Paediatrics, Japan Community Health Care Organisation Osaka Hospital, Osaka 5530003, Japan

3. Department of Paediatrics, Fukuoka Tokushukai Hospital, Fukuoka 8160864, Japan

4. Department of Biological Sciences, University of Tokyo, Tokyo 1130033, Japan

5. Laboratory of Virology, National Institute for Infectious Diseases “Lazzaro Spallanzani”—IRCCS, 00149 Rome, Italy

Abstract

A next-generation sequencing (NGS) study identified a very high viral load of Torquetenovirus (TTV) in KD patients. We aimed to evaluate the feasibility of a newly developed quantitative species-specific TTV-PCR (ssTTV-PCR) method to identify the etiology of KD. We applied ssTTV-PCR to samples collected from 11 KD patients and 22 matched control subjects who participated in our previous prospective study. We used the NGS dataset from the previous study to validate ssTTV-PCR. The TTV loads in whole blood and nasopharyngeal aspirates correlated highly (Spearman’s R = 0.8931, p < 0.0001, n = 33), supporting the validity of ssTTV-PCR. The ssTTV-PCR and NGS results were largely consistent. However, inconsistencies occurred when ssTTV-PCR was more sensitive than NGS, when the PCR primer sequences mismatched the viral sequences in the participants, and when the NGS quality score was low. Interpretation of NGS requires complex procedures. ssTTV-PCR is more sensitive than NGS but may fail to detect a fast-evolving TTV species. It would be prudent to update primer sets using NGS data. With this precaution, ssTTV-PCR can be used reliably in a future large-scale etiological study for KD.

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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