{"title":"Revealr-Based Diagnostic Panel for Rapid Detection of Acute Respiratory Infections.","authors":"Daniel N Schuder, Nhi D Lu, John C Chaput","doi":"10.1021/acssynbio.4c00644","DOIUrl":null,"url":null,"abstract":"<p><p>RNA-encoded viral nucleic acid analyte reporter (REVEALR) is a rapid and highly sensitive point-of-care diagnostic developed for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection, genotyping, and quantification. Here, we extend the breadth of this nucleic acid technology to include a viral respiratory panel that can detect low attomolar levels of influenza A (IAV), influenza B (IBV), SARS-CoV-2 (CoV2), and the respiratory syncytial virus (RSV). Of 39 clinical samples collected at the UCI Medical Center in Orange, California, the extended REVEALR panel showed a positive predictive agreement and negative predictive agreement of 100% for IAV, CoV2, and RSV in sequence-verified clinical samples, with 0 false positive results. Additionally, REVEALR was able to detect a synthetic IBV genome and precisely identify the viruses from clinical samples that were combined to simulate a patient infected with more than one virus. Together, these results demonstrate that the REVEALR respiratory panel provides a valuable diagnostic for identifying the pathogens responsible for causing lower respiratory infections that pose serious healthcare challenges in the United States.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":" ","pages":"4202-4208"},"PeriodicalIF":3.7000,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Synthetic Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1021/acssynbio.4c00644","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/4 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
RNA-encoded viral nucleic acid analyte reporter (REVEALR) is a rapid and highly sensitive point-of-care diagnostic developed for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection, genotyping, and quantification. Here, we extend the breadth of this nucleic acid technology to include a viral respiratory panel that can detect low attomolar levels of influenza A (IAV), influenza B (IBV), SARS-CoV-2 (CoV2), and the respiratory syncytial virus (RSV). Of 39 clinical samples collected at the UCI Medical Center in Orange, California, the extended REVEALR panel showed a positive predictive agreement and negative predictive agreement of 100% for IAV, CoV2, and RSV in sequence-verified clinical samples, with 0 false positive results. Additionally, REVEALR was able to detect a synthetic IBV genome and precisely identify the viruses from clinical samples that were combined to simulate a patient infected with more than one virus. Together, these results demonstrate that the REVEALR respiratory panel provides a valuable diagnostic for identifying the pathogens responsible for causing lower respiratory infections that pose serious healthcare challenges in the United States.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.