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SARS-CoV-2 currently represents a serious global public health problem. Non-pharmaceutical intervention measures (NPIs) have been widely adopted, and the testing strategy since the beginning of the infection is the most effective tool for tracking, isolating, and minimizing transmission. The high operating costs and the need for sophisticated instrumentation related to gold standard diagnostic for COVID-19, Reverse Transcription quantitative Polymerase Chain Reaction (RT-qPCR), have highlighted the urgency and importance of developing and applying new diagnostic techniques, especially in places with scarce resources. Thus, alternative molecular tests, such as Reverse Transcription Loop-Mediated Isothermal Amplification (RT-LAMP), based on isothermal amplification have been used to detect SARS-CoV-2 using different protocols. The potential for field application of RT-LAMP is due to the lower cost and time and not requiring high-cost instrumentation. Here, we evaluate the colorimetric RT-LAMP to detect SARS-CoV-2 in a hospital environment and correlate its performance with tests performed in a reference laboratory. The analysis performed at the hospital showed high sensitivity (88.89%), specificity (98.55%), accuracy (95.83%), and a Cohen's kappa of 0.895. However, we achieved 100% of agreement when comparing the RT-LAMP results with the gold standard (qRT-PCR) results for samples with Ct < 30 in the hospital-based test. In addition, a similar performance was found in the field compared to the reference laboratory, corroborating the proposal to apply the test directly at point-of-care.

The coronavirus pandemic has been causing damage to many nations, as public and private health systems deteriorate by the increasing demand. Some infected patients have culturable severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) even though not presenting any symptoms, and therefore, are probably able to transmit it. Correctly diagnosing and isolating infected patients is an important step towards preventing new infections. Current diagnostic methods rely mainly on reverse transcription quantitative polymerase chain reaction (RT-qPCR). Methods such as reverse transcription loop-mediated isothermal amplification (RT-LAMP) have risen as viable alternatives, as they are cheaper and require less infrastructure, they have the potential to be applied in low-resource scenarios and even at point-of-care. Here we report a colorimetric RT‑LAMP assay capable of detecting SARS-CoV-2 in ribonucleic acid (RNA) from saliva. In some cases, the test was able to detect viral RNA before symptom onset and even in a self-reported asymptomatic carrier. It had a limit of detection of 300 copies per reaction and showed a sensitivity of 80%, a specificity of 100%, a general accuracy of 99.59%, and a Cohen’s kappa of 0.887. The possibility of detecting positive cases even before the clinical manifestation shows great potential and can contribute to controlling the pandemic.

Infection caused by the new coronavirus (SARS-CoV-2) has become a serious worldwide public health problem, and one of the most important strategies for its control is mass testing. Loop-mediated isothermal amplification (LAMP) has emerged as an important alternative to simplify the diagnostics of infectious diseases. In addition, an advantage of LAMP is that it allows for easy reading of the final result through visual detection. However, this step must be performed with caution to avoid contamination and false-positive results. LAMP performed on microfluidic platforms can minimize false-positive results, in addition to having potential for point-of-care applications. Here, we describe a polystyrene-toner (PS-T) centrifugal microfluidic device manually controlled by a fidget spinner for molecular diagnosis of COVID-19 by RT-LAMP, with integrated and automated colorimetric detection. The amplification was carried out in a microchamber with 5 μL capacity, and the reaction was thermally controlled with a thermoblock at 72 °C for 10 min. At the end of the incubation time, the detection of amplified RT-LAMP fragments was performed directly on the chip by automated visual detection. Our results demonstrate that it is possible to detect COVID-19 in reactions initiated with approximately 10-3 copies of SARS-CoV-2 RNA. Clinical samples were tested using our RT-LAMP protocol as well as by conventional RT-qPCR, demonstrating comparable performance to the CDC SARS-CoV-2 RT-qPCR assay. The methodology described in this study represents a simple, rapid, and accurate method for rapid molecular diagnostics of COVID-19 in a disposable microdevice, ideal for point-of-care testing (POCT) systems.

Zika virus (ZIKV) is a current threat to global health. In most of cases, ZIKV infection has no symptoms; however in some cases, ZIKV can cause paralysis (Guillain-Barre syndrome), and in pregnant women, it can cause birth defects in infants. Rapid and accurate diagnosis can help improve disease control as well as being vital to prenatal care for women living in endemic areas. Molecular diagnostics based on isothermal amplification techniques are an excellent alternative to conventional methods of DNA amplification, such as PCR. Here, we develop and optimized a rapid and sensitive method for direct detection of ZIKV in Serum samples based on RT-LAMP and visual detection. The reaction was thermally controlled with a thermoblock for 10 min at 72 °C. The results show that the use of the Bst 3.0 enzyme and an adequate optimization can further reduce the time needed for the RT-LAMP reaction to detect ZIKV. Our results demonstrate that it is possible to detect ZIKV through RT-LAMP directly from a Serum sample, without prior RNA extraction. As little as 10-3 copies of RNA in a 10 μL reaction (20 zepto-molar) was detected by RT-LAMP from a panel of 51 Serum samples (16 samples from pregnant women and 35 samples from newborns infected with ZIKV during pregnancy). The RT-LAMP has proven to be a valuable tool for molecular diagnosis of Zika, presenting a great potential for point-of-care applications, especially in developing countries.