2018
DOI: 10.1101/330381
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Laboratory Validation of a Clinical Metagenomic Sequencing Assay for Pathogen Detection in Cerebrospinal Fluid

Abstract: 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 … Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
152
0
1

Year Published

2019
2019
2022
2022

Publication Types

Select...
6
1

Relationship

2
5

Authors

Journals

citations
Cited by 79 publications
(156 citation statements)
references
References 26 publications
3
152
0
1
Order By: Relevance
“…In laboratory test development, well-characterized, standardized and validated reference materials or databases that enable measurement of performance characteristics of an assay, including sensitivity, specificity and accuracy. The details for the specific steps vary by laboratory and are described extensively elsewhere [33][34][35][36][37] .…”
Section: Reference Standardsmentioning
confidence: 99%
“…In laboratory test development, well-characterized, standardized and validated reference materials or databases that enable measurement of performance characteristics of an assay, including sensitivity, specificity and accuracy. The details for the specific steps vary by laboratory and are described extensively elsewhere [33][34][35][36][37] .…”
Section: Reference Standardsmentioning
confidence: 99%
“…To assess whether metagenomic detection sensitivity for off-target DNA viral and non-viral pathogens was retained using MSSPE, we evaluated the method using a representative mixture of seven organisms developed as a standardized positive control for a clinical metagenomic assay from CSF 33 . The normalized reads per million (RPM) corresponding to each of the seven pathogen types were comparable when using the ArboV or HFV spiked primer panel versus RH primers alone ( Supplementary Table 10).…”
Section: Resultsmentioning
confidence: 99%
“…Sequencing data from Illumina MiSeq or HiSeq instruments were analysed for viruses using the sequence-based ultra-rapid pathogen identification (SURPI+ v.1.0) computational pipeline (UCSF), a modified version of a previously published bioinformatics analysis pipeline for pathogen identification from mNGS sequence data 33,50 . Specifically, the SURPI+ pipeline modifications include: updated reference databases based on the NCBI nucleotide database (March 2015 build); a filtering algorithm for the exclusion of false-positive hits from database misannotations; and taxonomic classification for species-level identification.…”
Section: Bioinformatics Pipelines For Viral Detection and Reference Gmentioning
confidence: 99%
See 1 more Smart Citation
“…It is noteworthy that metagenomic next-generation sequencing assay (mNGS) for pan-pathogen detection has been effectively tested in patients with acute illness of several viral etiologies. In this connection a customized bioinformatics pipeline, SURPI+, was recently designed to quickly analyze mNGS data, generate an automated summary of detected pathogens, and provide a graphical user interface for evaluating and interpreting results (Miller et al 2019). Panpathogen Metagenomic sequencing assay for SLEV (St. Louis encephalitis virus) infection in CSF (cerebrospinal fluid) is an unbiased approach to infectious disease testing, although several challenges still remain relating to test availability, interpretation, and validation that were reported.…”
Section: Metagenomics-based Immunodetectionmentioning
confidence: 99%