@article {136, title = {Macrolide Resistance in MORDOR I - A Cluster-Randomized Trial in Niger.}, journal = {N Engl J Med}, volume = {380}, year = {2019}, month = {2019 Jun 06}, pages = {2271-2273}, keywords = {Administration, Oral, Anti-Bacterial Agents, Azithromycin, Child, Preschool, Drug Resistance, Bacterial, Humans, Infant, Macrolides, Niger, Pneumococcal Infections, Streptococcus pneumoniae}, issn = {1533-4406}, doi = {10.1056/NEJMc1901535}, author = {Doan, Thuy and Arzika, Ahmed M and Hinterwirth, Armin and Maliki, Ramatou and Zhong, Lina and Cummings, Susie and Sarkar, Samarpita and Chen, Cindi and Porco, Travis C and Keenan, Jeremy D and Lietman, Thomas M} } @article {186, title = {Metagenomic Deep Sequencing for the Diagnosis of Corneal and External Disease Infections.}, journal = {Ophthalmology}, volume = {126}, year = {2019}, month = {2019 12}, pages = {1724-1726}, keywords = {Adult, Aged, Aged, 80 and over, Animals, Bacteria, Conjunctival Diseases, Corneal Diseases, Eye Infections, Female, Fungi, High-Throughput Nucleotide Sequencing, Humans, Male, Metagenome, Middle Aged, Parasites, Polymerase Chain Reaction, Retrospective Studies, Scleral Diseases}, issn = {1549-4713}, doi = {10.1016/j.ophtha.2019.06.013}, author = {Seitzman, Gerami D and Hinterwirth, Armin and Zhong, Lina and Cummings, Susie and Chen, Cindi and Driver, Todd H and Lee, Michele D and Doan, Thuy} } @article {126, title = {Unbiased Pathogen Detection and Host Gene Profiling for Conjunctivitis.}, journal = {Ophthalmology}, volume = {126}, year = {2019}, month = {2019 08}, pages = {1090-1094}, abstract = {

PURPOSE: The etiology of conjunctivitis is often misdiagnosed. An ideal diagnostic test would identify all possible infectious causes. In this study, we apply unbiased metagenomic RNA deep sequencing (MDS) to identify pathogens causing conjunctivitis.

DESIGN: Molecular study of prospectively collected conjunctival swabs from patients with presumed infectious conjunctivitis.

PARTICIPANTS: Patients with presumed acute infectious conjunctivitis.

METHODS: Conjunctival swabs were collected from patients presenting with acute conjunctivitis. Swabs were processed for MDS. Pathogens were identified using a rapid computational pipeline to analyze the nonhost sequences obtained from MDS. Differential gene expression analysis was performed to evaluate for host transcriptome signatures for infectious types. Clinical samples were deidentified, and laboratory personnel handling the samples and interpreting the data were masked.

MAIN OUTCOME MEASURES: Pathogens and differential transcripts identified by MDS.

RESULTS: Metagenomic RNA deep sequencing detected pathogens in 86\% (12/14) of the patients tested. Swabs from 10 of 14 patients were positive for human adenovirus (HAdV) while swabs from 2 of 14 patients were positive for Vittaforma corneae (a parasitic fungal species of the microsporidia group). Samples positive for HAdV by RNA-seq were independently verified in a CLIA-certified laboratory. Pathogen-directed polymerase chain reaction confirmed the presence of V.\ corneae genome in the samples positive by RNA-seq. Local host transcriptome analysis identified 12 differentially expressed genes that provided distinct expression signatures for patients infected with HAdV compared with V.\ corneae.

CONCLUSIONS: Metagenomic RNA deep sequencing can reliably detect and quantify common and rare pathogens causing conjunctivitis, and identify strains. The unbiased nature of metagenomic RNA deep sequencing allowed an expanded scope of pathogen detection, including fungal species not commonly associated with acute conjunctivitis. In addition, the identification of infection type-specific local host transcriptome signatures may allow for pathogen detection even when the pathogen load is too low for direct identification.

}, keywords = {Adult, Aged, Conjunctivitis, DNA, Bacterial, DNA, Fungal, DNA, Viral, Female, High-Throughput Nucleotide Sequencing, Humans, Male, Metagenomics, Middle Aged, Young Adult}, issn = {1549-4713}, doi = {10.1016/j.ophtha.2019.03.039}, author = {Lalitha, Prajna and Seitzman, Gerami D and Kotecha, Ritesh and Hinterwirth, Armin and Chen, Cindi and Zhong, Lina and Cummings, Susie and Lebas, Elodie and Sahoo, Malaya K and Pinsky, Benjamin A and Lietman, Thomas M and Doan, Thuy} }