Thuy Doan1, Malaya K Sahoo2, Kevin Ruder3, ChunHong Huang2, Lina Zhong3, Cindi Chen3, Armin Hinterwirth3, Charles Lin4, John A Gonzales5, Benjamin A Pinsky6, Nisha R Acharya5. 1. Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA; Department of Ophthalmology, University of California, San Francisco, CA, USA. Electronic address: thuy.doan@ucsf.edu. 2. Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA. 3. Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA. 4. Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, USA. 5. Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA; Department of Ophthalmology, University of California, San Francisco, CA, USA. 6. Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.
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.
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.
Authors: Valliammai Muthappan; Aaron Y Lee; Tamara L Lamprecht; Lakshmi Akileswaran; Suzanne M Dintzis; Choli Lee; Vincent Magrini; Elaine R Mardis; Jay Shendure; Russell N Van Gelder Journal: Genome Res Date: 2011-02-10 Impact factor: 9.043
Authors: Alexander Dobin; Carrie A Davis; Felix Schlesinger; Jorg Drenkow; Chris Zaleski; Sonali Jha; Philippe Batut; Mark Chaisson; Thomas R Gingeras Journal: Bioinformatics Date: 2012-10-25 Impact factor: 6.937
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Authors: T Doan; A Hinterwirth; L Worden; A M Arzika; R Maliki; A Abdou; S Kane; L Zhong; S L Cummings; S Sakar; C Chen; C Cook; E Lebas; E D Chow; I Nachamkin; T C Porco; J D Keenan; T M Lietman Journal: Nat Med Date: 2019-08-12 Impact factor: 53.440
Authors: Lawson Ung; Paulo J M Bispo; Thuy Doan; Russell N Van Gelder; Michael S Gilmore; Thomas Lietman; Todd P Margolis; Michael E Zegans; Cecilia S Lee; James Chodosh Journal: Ocul Surf Date: 2019-10-25 Impact factor: 6.268
Authors: Carlos A Gomez; Malaya K Sahoo; Ghazala Yasmeen Kahn; Lina Zhong; José G Montoya; Benjamin A Pinsky; Thuy Doan Journal: Br J Ophthalmol Date: 2019-01-12 Impact factor: 4.638
Authors: Thuy Doan; Michael R Wilson; Emily D Crawford; Eric D Chow; Lillian M Khan; Kristeene A Knopp; Brian D O'Donovan; Dongxiang Xia; Jill K Hacker; Jay M Stewart; John A Gonzales; Nisha R Acharya; Joseph L DeRisi Journal: Genome Med Date: 2016-08-25 Impact factor: 11.117
Authors: ChunHong Huang; Malaya K Sahoo; Michelle Verghese; Mamdouh Sibai; Daniel Solis; Kenji O Mfuh; Jason Kurzer; Catherine A Hogan; Thuy A Doan; Benjamin A Pinsky Journal: Microbiol Spectr Date: 2022-04-25
Authors: Cristina Costales; Malaya K Sahoo; ChunHong Huang; Carolina V Guimaraes; Donald Born; Lauren Kushner; Hayley A Gans; Thuy A Doan; Benjamin A Pinsky Journal: Emerg Infect Dis Date: 2022-04 Impact factor: 6.883
Authors: N Venkatesh Prajna; Prajna Lalitha; Gonugunta Vishnu Teja; Rameshkumar Gunasekaran; Sankalp S Sharma; Armin Hinterwirth; Kevin Ruder; Lina Zhong; Cindi Chen; Michael Deiner; ChunHong Huang; Benjamin A Pinsky; Thomas M Lietman; Gerami D Seitzman; Thuy Doan Journal: J Clin Virol Date: 2022-09-27 Impact factor: 14.481