Comprehensive pathogen detection for ocular infections.
Comprehensive pathogen detection for ocular infections.
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DOI:
10.1016/j.jcv.2021.104759
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发表时间:
2021-03
期刊:
影响因子:
--
通讯作者:
Acharya NR
中科院分区:
文献类型:
--
作者:
Doan T;Sahoo MK;Ruder K;Huang C;Zhong L;Chen C;Hinterwirth A;Lin C;Gonzales JA;Pinsky BA;Acharya NR
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. 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. The positive percent agreement between RNA-seq and pathogen-directed PCRs was 100% (95% confidence interval (CI): 78.5% to 100%). The negative percent agreement was 92.6% (95% CI: 76.6% to 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. 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.
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影响因子:
13.7
作者:
Doan T;Acharya NR;Pinsky BA;Sahoo MK;Chow ED;Banaei N;Budvytiene I;Cevallos V;Zhong L;Zhou Z;Lietman TM;DeRisi JL
通讯作者:
DeRisi JL
DOI:
10.1093/bioinformatics/bts565
发表时间:
2012-12-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Fu L;Niu B;Zhu Z;Wu S;Li W
通讯作者:
Li W
影响因子:
12.3
作者:
Doan T;Wilson MR;Crawford ED;Chow ED;Khan LM;Knopp KA;O'Donovan BD;Xia D;Hacker JK;Stewart JM;Gonzales JA;Acharya NR;DeRisi JL
通讯作者:
DeRisi JL
影响因子:
7
作者:
Muthappan, Valliammai;Lee, Aaron Y.;Van Gelder, Russell N.
通讯作者:
Van Gelder, Russell N.
影响因子:
7
作者:
Kim D;Song L;Breitwieser FP;Salzberg SL
通讯作者:
Salzberg SL