ABSTRACT
COVID-19, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), remains a global health threat. Timely identification of infected cases is important for appropriate patient management and the control of viral spread. Simple and cost-effective tests are required to increase access to testing and early case detection. Here, we describe a colorimetric reverse transcription-loop-mediated isothermal amplification (RT-LAMP) method to detect SARS-CoV-2. The RT-LAMP could amplify the orf1ab sequence detectable by visual color change within 45 min at 63 °C. The limit of detection (LoD) for SARS-CoV-2 RNA was less than 100 copies (13.36) per reaction with no cross-amplification with other related viruses. Clinical evaluation using leftover RNA samples extracted from 163 nasopharyngeal swab specimens showed perfect agreement in negative (n = 124) and positive samples with cycle thresholds (Ct) < 34 cycles (n = 33) detected by real-time reverse transcription-polymerase chain reaction (RT-PCR), targeting RdRp and N genes as a reference. Overall, the diagnostic accuracy, sensitivity, specificity, positive and negative predictive values of RT-LAMP in testing were 96.32% (95% CI: 92.16-98.64%), 84.62% (95% CI: 68.47-94.14%), 100% (95% CI: 97.07-100.0%), 100% (95% CI: 89.42-100.0%), and 95.38% (95% CI: 90.22-98.29), respectively. This RT-LAMP assay is simple and reliable, with the potential to be an alternative for the rapid detection of SAR-CoV-2 with minimal time and fewer resources compared to real-time RT-PCR.
Subject(s)
COVID-19 , Colorimetry , Molecular Diagnostic Techniques , Nucleic Acid Amplification Techniques , SARS-CoV-2 , Sensitivity and Specificity , Nucleic Acid Amplification Techniques/methods , SARS-CoV-2/genetics , SARS-CoV-2/isolation & purification , Humans , Thailand , Colorimetry/methods , COVID-19/diagnosis , Molecular Diagnostic Techniques/methods , RNA, Viral/genetics , Reverse Transcription , COVID-19 Nucleic Acid Testing/methods , Limit of Detection , Nasopharynx/virologyABSTRACT
Tuberculosis (TB) is a major global health problem. Routine laboratory tests or newly developed molecular detection are limited to the quality of sputum sample. Here we selected genes specific to TB by a minimum redundancy-maximum relevancy package using publicly available microarray data and determine level of selected genes in blood collected from a Thai TB cohort of 40 active TB patients, 38 healthy controls and 18 previous TB patients using quantitative real-time PCR. FCGR1A, FCGR1B variant 1, FCGR1B variant 2, APOL1, GBP5, PSTPIP2, STAT1, KCNJ15, MAFB and KAZN had significantly higher expression level in active TB individuals as compared with healthy controls and previous TB cases (P<0.01). A mathematical method was applied to calculate TB predictive score, which contains the level of expression of seven genes and this score can identify active TB cases with 82.5% sensitivity and 100% specificity as compared with conventional culture confirmation. In addition, TB predictive scores in active TB patients were reduced to normal after completion of standard short-course therapy, which was mostly in concordant with the disease outcome. These finding suggested that blood gene expression measurement and TB Sick Score could have potential value in terms of diagnosis of TB and anti-TB treatment monitoring.
