SUMMARY A 14-year-old boy with severe combined immunodeficiency presented three times to a medical facility over a period of 4 months with fever and headache that progressed to hydrocephalus and status epilepticus necessitating a medically induced coma. Diagnostic workup including brain biopsy was unrevealing. Unbiased next-generation sequencing of the cerebrospinal fluid identified 475 of 3,063,784 sequence reads (0.016%) corresponding to leptospira infection. Clinical assays for leptospirosis were negative. Targeted antimicrobial agents were administered, and the patient was discharged home 32 days later with a status close to his premorbid condition. Polymerase-chain-reaction (PCR) and serologic testing at the Centers for Disease Control and Prevention (CDC) subsequently confirmed evidence of Leptospira santarosai infection.

Unbiased next-generation sequencing (NGS) approaches enable comprehensive pathogen detection in the clinical microbiology laboratory and have numerous applications for public health surveillance, outbreak investigation, and the diagnosis of infectious diseases. However, practical deployment of the technology is hindered by the bioinformatics challenge of analyzing results accurately and in a clinically relevant timeframe. Here we describe SURPI (''sequence-based ultrarapid pathogen identification''), a computational pipeline for pathogen identification from complex metagenomic NGS data generated from clinical samples, and demonstrate use of the pipeline in the analysis of 237 clinical samples comprising more than 1.1 billion sequences. Deployable on both cloud-based and standalone servers, SURPI leverages two state-of-the-art aligners for accelerated analyses, SNAP and RAPSearch, which are as accurate as existing bioinformatics tools but orders of magnitude faster in performance. In fast mode, SURPI detects viruses and bacteria by scanning data sets of 7-500 million reads in 11 min to 5 h, while in comprehensive mode, all known microorganisms are identified, followed by de novo assembly and protein homology searches for divergent viruses in 50 min to 16 h. SURPI has also directly contributed to real-time microbial diagnosis in acutely ill patients, underscoring its potential key role in the development of unbiased NGS-based clinical assays in infectious diseases that demand rapid turnaround times.

Metagenomic next-generation sequencing (mNGS) for pan-pathogen detection has been successfully tested in proof-of-concept case studies in patients with acute illness of unknown etiology but to date has been largely confined to research settings. Here, we developed and validated a clinical mNGS assay for diagnosis of infectious causes of meningitis and encephalitis from cerebrospinal fluid (CSF) in a licensed microbiology laboratory. A customized bioinformatics pipeline, SURPI+, was developed to rapidly analyze mNGS data, generate an automated summary of detected pathogens, and provide a graphical user interface for evaluating and interpreting results. We established quality metrics, threshold values, and limits of detection of 0.2-313 genomic copies or colony forming units per milliliter for each representative organism type. Gross hemolysis and excess host nucleic acid reduced assay sensitivity; however, spiked phages used as internal controls were reliable indicators of sensitivity loss. Diagnostic test accuracy was evaluated by blinded mNGS testing of 95 patient samples, revealing 73% sensitivity and 99% specificity compared to original clinical test results, and 81% positive percent agreement and 99% negative percent agreement after discrepancy analysis. Subsequent mNGS challenge testing of 20 positive CSF samples prospectively collected from a cohort of pediatric patients hospitalized with meningitis, encephalitis, and/or myelitis showed 92% sensitivity and 96% specificity relative to conventional microbiological testing of CSF in identifying the causative pathogen. These results demonstrate the analytic performance of a laboratory-validated mNGS assay for panpathogen detection, to be used clinically for diagnosis of neurological infections from CSF.

Metagenomic next-generation sequencing (NGS) was used to diagnose an unusual and fatal case of progressive encephalitis in an immunocompromised adult presenting at disease onset as bilateral hearing loss. The sequencing and confirmatory studies revealed neuroinvasive infection of the brain by an astrovirus belonging to a recently discovered VA/HMO clade.

6Metagenomic next-generation sequencing (mNGS) for pan-pathogen detection has been 3 7 successfully tested in proof-of-concept case studies in patients with acute illness of unknown 3 8 etiology, but to date has been largely confined to research settings. Here we developed and 3 9 validated an mNGS assay for diagnosis of infectious causes of meningitis and encephalitis from 4 0 cerebrospinal fluid (CSF) in a licensed clinical laboratory. A clinical bioinformatics pipeline, 4 1 SURPI+, was developed to rapidly analyze mNGS data, automatically report detected 4 2 pathogens, and provide a graphical user interface for evaluating and interpreting results. We 4 3 established quality metrics, threshold values, and limits of detection of between 0.16 -313 4 4 genomic copies or colony forming units per milliliter for each representative organism type. 4 5 Gross hemolysis and excess host nucleic acid reduced assay sensitivity; however, a spiked 4 6 phage used as an internal control was a reliable indicator of sensitivity loss. Diagnostic test 4 7 accuracy was evaluated by blinded mNGS testing of 95 patient samples, revealing 73% 4 8 sensitivity and 99% specificity compared to original clinical test results, with 81% positive 4 9

Key Points• In patients with previously diagnosed IPS, more than half (57%) had pathogens detected by currently available diagnostic methods.• Detection of a pathogen was significantly associated with high mortality regardless of significance of pathogenicity in lung. HHV-6 and HRV were rarely detected in controls, whereas CMV and Aspergillus were occasionally detected with low pathogen load. Patients with pathogens had worse day-100 survival than those without (hazard ratio, 1.88; P 5 .03). Mortality in patients with only pathogens of "uncertain" significance in lung was similar to that in patients with pathogens of "established" significance. Metagenomic next-generation sequencing did not reveal additional significant pathogens. Our study demonstrated that approximately half of patients with IPS had pathogens detected in BAL, and pathogen detection was associated with increased mortality. Thus, an expanded infection detection panel can significantly increase the diagnostic precision for idiopathic pneumonia. (Blood. 2015;125(24):3789-3797)

Much attention has been focused on the role of the bacterial microbiome in human health, but the virome is understudied. Although previously investigated in individuals with inflammatory bowel diseases or solid-organ transplants, virome dynamics in allogeneic hematopoietic stem cell transplantation (HSCT) and enteric graft-versus-host disease (GVHD) remain unexplored. Here we characterize the longitudinal gut virome in 44 recipients of HSCT using metagenomics. A viral 'bloom' was identified, and significant increases were demonstrated in the overall proportion of vertebrate viral sequences following transplantation (P = 0.02). Increases in both the rates of detection (P < 0.0001) and number of sequences (P = 0.047) of persistent DNA viruses (anelloviruses, herpesviruses, papillomaviruses and polyomaviruses) over time were observed in individuals with enteric GVHD relative to those without, a finding accompanied by a reduced phage richness (P = 0.01). Picobirnaviruses were detected in 18 individuals (40.9%), more frequently before or within a week after transplant than at later time points (P = 0.008). In a time-dependent Cox proportional-hazards model, picobirnaviruses were predictive of the occurrence of severe enteric GVHD (hazard ratio, 2.66; 95% confidence interval (CI) = 1.46-4.86; P = 0.001), and correlated with higher fecal levels of two GVHD severity markers, calprotectin and α1-antitrypsin. These results reveal a progressive expansion of vertebrate viral infections over time following HSCT, and they suggest an unexpected association of picobirnaviruses with early post-transplant GVHD.

A diagnosis of brucellosis can be difficult because routine culture and serological methods exhibit variable sensitivity and specificity. We present the use of a metagenomic next- generation sequencing assay to diagnose a case of neurobrucellosis from cerebrospinal fluid, resulting in the institution of appropriate antibiotic treatment and a favorable clinical outcome.