tetano
Editor, Senior Moderator
Exp Neurobiol
. 2021 Feb 8.
doi: 10.5607/en20063. Online ahead of print.
Ultimate COVID-19 Detection Protocol Based on Saliva Sampling and qRT-PCR with Risk Probability Assessment
Joungha Won[SUP] 1 2 [/SUP], Hasan H?seyin Kazan[SUP] 3 [/SUP], Jea Kwon[SUP] 2 4 [/SUP], Myungsun Park[SUP] 2 [/SUP], Mehmet Ali Ergun[SUP] 5 [/SUP], Sureyya Ozcan[SUP] 6 [/SUP], Byung Yoon Choi[SUP] 7 [/SUP], Won Do Heo[SUP] 1 [/SUP], C Justin Lee[SUP] 2 [/SUP]
Affiliations
Abstract
In the era of COVID-19 outbreak, various efforts are undertaken to develop a quick, easy, inexpensive, and accurate way for diagnosis. Although many commercial diagnostic kits are available, detailed scientific evaluation is lacking, making the public vulnerable to fear of false-positive results. Moreover, current tissue sampling method from respiratory tract requires personal contact of medical staff with a potential asymptomatic SARSCOV- 2 carrier and calls for safe and less invasive sampling method. Here, we have developed a convenient detection protocol for SARS-COV-2 based on a non-invasive saliva self-sampling method by extending our previous studies on development of a laboratory-safe and low-cost detection protocol based on qRT-PCR. We tested and compared various self-sampling methods of self-pharyngeal swab and self-saliva sampling from non-carrier volunteers. We found that the self-saliva sampling procedure gave expected negative results from all of the non-carrier volunteers within 2 hours, indicating cost-effectiveness, speed and reliability of the saliva-based method. For an automated assessment of the sampling quality and degree of positivity for COVID-19, we developed scalable formulae based on a logistic classification model using both cycle threshold and melting temperature from the qRT-PCR results. Our newly developed protocol will allow easy sampling and spatial-separation between patient and experimenter for guaranteed safety. Furthermore, our newly established risk assessment formula can be applied to a large-scale diagnosis in health institutions and agencies around the world.
Keywords: COVID-19; COVID-19 risk assessment; Coronavirus; SARS-CoV-2; Saliva sampling.
. 2021 Feb 8.
doi: 10.5607/en20063. Online ahead of print.
Ultimate COVID-19 Detection Protocol Based on Saliva Sampling and qRT-PCR with Risk Probability Assessment
Joungha Won[SUP] 1 2 [/SUP], Hasan H?seyin Kazan[SUP] 3 [/SUP], Jea Kwon[SUP] 2 4 [/SUP], Myungsun Park[SUP] 2 [/SUP], Mehmet Ali Ergun[SUP] 5 [/SUP], Sureyya Ozcan[SUP] 6 [/SUP], Byung Yoon Choi[SUP] 7 [/SUP], Won Do Heo[SUP] 1 [/SUP], C Justin Lee[SUP] 2 [/SUP]
Affiliations
- PMID: 33556920
- DOI: 10.5607/en20063
Abstract
In the era of COVID-19 outbreak, various efforts are undertaken to develop a quick, easy, inexpensive, and accurate way for diagnosis. Although many commercial diagnostic kits are available, detailed scientific evaluation is lacking, making the public vulnerable to fear of false-positive results. Moreover, current tissue sampling method from respiratory tract requires personal contact of medical staff with a potential asymptomatic SARSCOV- 2 carrier and calls for safe and less invasive sampling method. Here, we have developed a convenient detection protocol for SARS-COV-2 based on a non-invasive saliva self-sampling method by extending our previous studies on development of a laboratory-safe and low-cost detection protocol based on qRT-PCR. We tested and compared various self-sampling methods of self-pharyngeal swab and self-saliva sampling from non-carrier volunteers. We found that the self-saliva sampling procedure gave expected negative results from all of the non-carrier volunteers within 2 hours, indicating cost-effectiveness, speed and reliability of the saliva-based method. For an automated assessment of the sampling quality and degree of positivity for COVID-19, we developed scalable formulae based on a logistic classification model using both cycle threshold and melting temperature from the qRT-PCR results. Our newly developed protocol will allow easy sampling and spatial-separation between patient and experimenter for guaranteed safety. Furthermore, our newly established risk assessment formula can be applied to a large-scale diagnosis in health institutions and agencies around the world.
Keywords: COVID-19; COVID-19 risk assessment; Coronavirus; SARS-CoV-2; Saliva sampling.