Evaluation of self‐collected nasal, urine, and saliva samples for molecular detection of SARS‐CoV‐2 using an EUA approved RT‐PCR assay and a laboratory developed LAMP SARS‐CoV‐2 test

Author:

Purcell‐Wiltz Ana12ORCID,Zamuner Fernando Tadeu3ORCID,Caraballo Karem1,De Jesus Lorena1,Miranda Yaima1,Ortiz Denise1,Negrón Amanda García1,Ortiz Andrea Cortés12,Baez Adriana4,Romaguera Josefina5,Jiménez Ivonne6,Ortiz Alberto6,Acevedo Jorge6ORCID,Viera Liliana7,Sidransky David3,Guerrero‐Preston Rafael1ORCID

Affiliation:

1. Biomarker Discovery and Validation Laboratory, LifeGene‐Biomarks Toa Baja Puerto Rico

2. Internal Medicine Department San Juan Bautista School of Medicine Caguas Puerto Rico

3. Otolaryngology Department, Head and Neck Cancer Research Division Johns Hopkins University, School of Medicine Baltimore Maryland USA

4. Otolaryngology Department University of Puerto Rico School of Medicine San Juan Puerto Rico

5. Obstetrics and Gynecology Department University of Puerto Rico School of Medicine San Juan Puerto Rico

6. Internal Medicine Department University of Puerto Rico School of Medicine San Juan Puerto Rico

7. Department of Surgery University of Puerto Rico School of Medicine San Juan Puerto Rico

Abstract

AbstractAs the SARS‐CoV‐2 virus spread throughout the world, millions of positive cases of COVID‐19 were registered and, even though there are millions of people already vaccinated against SARS‐CoV‐2, a large part of the global population remains vulnerable to contracting the virus. Massive nasopharyngeal sample collection in Puerto Rico at the beginning of the pandemic was limited by the scarcity of trained personnel and testing sites. To increase SARS‐CoV‐2 molecular testing availability, we evaluated the diagnostic accuracy of self‐collected nasal, saliva, and urine samples using the TaqPath reverse transcription polymerase chain reaction (RT‐PCR) COVID‐19 kit to detect SARS‐CoV‐2. We also created a colorimetric loop‐mediated isothermal amplification (LAMP) laboratory developed test (LDT) to detect SARS‐CoV‐2, as another strategy to increase the availability of molecular testing in community‐based laboratories. Automated RNA extraction was performed in the KingFisher Flex instrument, followed by PCR quantification of SARS‐CoV‐2 on the 7500 Fast Dx RT‐PCR using the TaqPath RT‐PCR COVID‐19 molecular test. Data was interpreted by the COVID‐19 Interpretive Software from Applied Biosystems and statistically analyzed with Cohen's kappa coefficient (k). Cohen's kappa coefficient (k) for paired nasal and saliva samples showed moderate agreement (0.52). Saliva samples exhibited a higher viral load. We also observed 90% concordance between LifeGene‐Biomarks' SARS‐CoV‐2 Rapid Colorimetric LAMP LDT and the TaqPath RT‐PCR COVID‐19 test. Our results suggest that self‐collected saliva is superior to nasal and urine samples for COVID‐19 testing. The results also suggest that the colorimetric LAMP LDT is a rapid alternative to RT‐PCR tests for the detection of SARS‐CoV‐2. This test can be easily implemented in clinics, hospitals, the workplace, and at home; optimizing the surveillance and collection process, which helps mitigate global public health and socioeconomic upheaval caused by airborne pandemics.

Funder

Division of Cancer Prevention, National Cancer Institute

Publisher

Wiley

Reference46 articles.

1. World Health Organization Questions and answers about coronavirus disease (COVID‐19).2020.

2. World Health Organization WHO Coronavirus (COVID‐19) dashboard.2023.

3. COVID-19 Diagnostic Methods and Detection Techniques: A Review

4. An Update on Molecular Diagnostics for COVID-19

5. Potential Rapid Diagnostics, Vaccine and Therapeutics for 2019 Novel Coronavirus (2019-nCoV): A Systematic Review

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3