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. 2021 Mar:136:104759.
doi: 10.1016/j.jcv.2021.104759. Epub 2021 Feb 11.

Comprehensive pathogen detection for ocular infections

Affiliations

Comprehensive pathogen detection for ocular infections

Thuy Doan et al. J Clin Virol. 2021 Mar.

Abstract

Background: Molecular diagnostics such as pathogen-directed PCRs have transformed testing for ocular infections since the late 1990s. Although these assays remain important diagnostic tools for samples with low biomass, the lack of diagnostic range motivates alternative molecular approaches for ocular infections. The aim of this study was to determine the performance of a high-throughput RNA sequencing approach, RNA-seq, to detect infectious agents in ocular samples from patients with presumed ocular infections.

Methods: We compared the performance of RNA-seq to pathogen-directed PCRs using remnant nucleic acids from 41 aqueous or vitreous samples of patients with presumed ocular infections. Pathogen-directed PCRs were performed at the CLIA-certified Stanford Clinical Virology Laboratory. RNA-seq was performed in a masked manner at the Proctor Foundation at the University of California San Francisco. Percent positive and negative agreement between the two testing approaches were calculated. Discordant results were subjected to orthogonal testing.

Results: The positive percent agreement between RNA-seq and pathogen-directed PCRs was 100% (95% confidence interval (CI): 78.5%-100%). The negative percent agreement was 92.6% (95% CI: 76.6%-97.9%). RNA-seq identified pathogens not on the differential diagnosis for 9.7% (4/41) of the samples. Two pathogens solely identified with RNA-seq were confirmed with orthogonal testing.

Conclusions: RNA-seq can accurately identify common and rare pathogens in aqueous and vitreous samples of patients with presumed ocular infections. Such an unbiased approach to testing has the potential to improve diagnostics although practical clinical utility warrants additional studies.

Keywords: CMV; Eye; PCR; Pithomyces; RNA-seq; Uveitis; rubella.

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Conflict of interest statement

Declaration of interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Figure 1:
Figure 1:. Performance of RNA-seq compared to pathogen-directed PCRs.
A, 2 × 2 table comparing the performance of RNA-seq compared to pathogen-directed PCRs. B, Genome coverage maps for rubella and Pithomyces chartarum, the two samples highlighted in grey in panel A. C, Pathogens detected by RNA-seq. Abbreviations: cytomegalovirus, CMV.

References

    1. Bianchi MT, Alexander BM, Cash SS. Incorporating uncertainty into medical decision making: an approach to unexpected test results. Medical decision making : an international journal of the Society for Medical Decision Making 2009; 29(1): 116–24. - PubMed
    1. Byron SA, Van Keuren-Jensen KR, Engelthaler DM, Carpten JD, Craig DW. Translating RNA sequencing into clinical diagnostics: opportunities and challenges. Nature reviews Genetics 2016; 17(5): 257–71. - PMC - PubMed
    1. Valdes L, Bispo P, Sobrin L. Application of Metagenomic Sequencing in the Diagnosis of Infectious Uveitis. Seminars in ophthalmology 2020; 35(5–6): 276–9. - PubMed
    1. Muthappan V, Lee AY, Lamprecht TL, et al. Biome representational in silico karyotyping. Genome research 2011; 21(4): 626–33. - PMC - PubMed
    1. Doan T, Wilson MR, Crawford ED, et al. Illuminating uveitis: metagenomic deep sequencing identifies common and rare pathogens. Genome medicine 2016; 8(1): 90. - PMC - PubMed

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