Publications by authors named "Shaun Arevalo"

Article Synopsis
  • The study investigates the effectiveness of metagenomic next-generation sequencing (mNGS) for measuring plasma Epstein-Barr virus (EBV) viral load in patients with nasopharyngeal carcinoma (NPC), comparing it to traditional PCR methods.
  • Results show that mNGS has comparable sensitivity and specificity to BAMHI-W PCR, and outperforms LMP2 PCR, indicating its reliability in detecting EBV.
  • Additionally, mNGS correlates with cancer recurrence, suggesting its potential as a non-invasive tool for monitoring disease status in patients with infection-related cancers.
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Article Synopsis
  • Current methods for diagnosing central nervous system (CNS) neoplasms using cerebrospinal fluid (CSF) cytology and flow cytometry are often inadequate, as these conditions can resemble infections or autoimmune diseases.
  • The study aimed to evaluate the effectiveness of metagenomic next-generation sequencing (mNGS) for identifying aneuploidy in challenging cases of CNS malignant tumors.
  • Two case-control studies at UCSF included a total of 130 participants, assessing mNGS performance compared to traditional testing, and sought to determine the sensitivity and specificity of detecting chromosomal abnormalities in patients with suspected neuroinflammatory conditions that turned out to be neoplasms.
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Article Synopsis
  • Metagenomic next-generation sequencing (mNGS) of body fluids is a new method aimed at detecting hidden infections and potential cancerous tumors in patients who remain undiagnosed.
  • The study analyzed samples from two groups totaling 205 patients, comparing those diagnosed with malignancies and those with infections to assess the test's effectiveness in detecting cancer.
  • The findings revealed that the test had a high sensitivity of 87% for confirmed malignancies and 100% specificity, showcasing its potential to identify cancer using the same test used for infectious disease diagnosis.
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We developed a metagenomic next-generation sequencing (mNGS) test using cell-free DNA from body fluids to identify pathogens. The performance of mNGS testing of 182 body fluids from 160 patients with acute illness was evaluated using two sequencing platforms in comparison to microbiological testing using culture, 16S bacterial PCR and/or 28S-internal transcribed ribosomal gene spacer (28S-ITS) fungal PCR. Test sensitivity and specificity of detection were 79 and 91% for bacteria and 91 and 89% for fungi, respectively, by Illumina sequencing; and 75 and 81% for bacteria and 91 and 100% for fungi, respectively, by nanopore sequencing.

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Analytical sensitivity for SARS-CoV-2 detection is a key performance metric for the evaluation of viral detection assays. We determined analytical limits of detection for seven SARS-CoV-2 assays using serial dilutions of pooled patient material quantified with droplet digital PCR. Limits of detection ranged from ≤10 to 74 copies/ml for commercial high-throughput laboratory analyzers (Roche Cobas, Abbott m2000, and Hologic Panther Fusion) and 167 to 511 copies/ml for sample-to-answer (DiaSorin Simplexa, GenMark ePlex) and point-of-care instruments (Abbott ID NOW).

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Metagenomic next-generation sequencing (mNGS), the shotgun sequencing of RNA and DNA from clinical samples, has proved useful for broad-spectrum pathogen detection and the genomic surveillance of viral outbreaks. An additional target enrichment step is generally needed for high-sensitivity pathogen identification in low-titre infections, yet available methods using PCR or capture probes can be limited by high cost, narrow scope of detection, lengthy protocols and/or cross-contamination. Here, we developed metagenomic sequencing with spiked primer enrichment (MSSPE), a method for enriching targeted RNA viral sequences while simultaneously retaining metagenomic sensitivity for other pathogens.

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Background: Metagenomic next-generation sequencing (NGS) of cerebrospinal fluid (CSF) has the potential to identify a broad range of pathogens in a single test.

Methods: In a 1-year, multicenter, prospective study, we investigated the usefulness of metagenomic NGS of CSF for the diagnosis of infectious meningitis and encephalitis in hospitalized patients. All positive tests for pathogens on metagenomic NGS were confirmed by orthogonal laboratory testing.

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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.

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We used unbiased metagenomic next-generation sequencing to diagnose a fatal case of meningoencephalitis caused by St. Louis encephalitis virus in a patient from California in September 2016. This case is associated with the recent 2015-2016 reemergence of this virus in the southwestern United States.

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