The RT-LAMP assay demonstrated a sensitivity of 83.61% and an overall efficiency of 84.21%. While this performance is promising, it falls short when compared to the sensitivity of traditional RT-PCR assays, which often exceed 90%. The observed sensitivity issues, particularly with samples showing high CT values (CT > 30), point to a significant limitation of the RT-LAMP assay: The risk of false negatives in samples with low viral loads. This sensitivity gap highlights a key challenge in the optimization of LAMP tests, particularly in the detection of SARS-CoV-2, where early detection is crucial for controlling transmission.
The failure to achieve a sensitivity level comparable to RT-PCR is likely due to several factors, including the need for further optimization of the primer design, reaction conditions, and detection reagents. In our study, while we focused on improving sensitivity by optimizing key parameters such as primer concentrations, incubation time, and temperature, the overall sensitivity remained lower than desired. Although the use of colorimetric detection offered significant advantages in terms of accessibility and ease of use, this method does not address the inherent limitations of LAMP in terms of sensitivity for low viral load detection.
Furthermore, the incorporation of direct swabs without RNA extraction, while simplifying the process and making it more suitable for point-of-care settings, may also have contributed to reduced sensitivity, as the sample preparation and viral RNA extraction process in RT-PCR often leads to more concentrated and pure genetic material for detection. Comparative results from studies by Yan et al. (
36) and Subali and Wiyono (
37) showed similar performance to our study, with RT-LAMP achieving around 93% sensitivity, aligning with existing findings in SARS-CoV-2 diagnostics. The slight differences observed could be attributed to the variations in RNA extraction methods, primer designs, and sample handling.
Despite the lower sensitivity compared to RT-PCR, RT-LAMP still offers considerable potential, particularly in resource-limited settings where the infrastructure for traditional PCR testing may not be available. Optimizing primer design and concentration, as demonstrated by Sarwan et al. (
38), significantly improved sensitivity and enabled reliable detection even at low viral loads, which is particularly beneficial for point-of-care applications. This work also builds on the original LAMP findings by Notomi et al. (
39), emphasizing the value of visual result interpretation, which makes RT-LAMP an effective diagnostic tool in rural or low-resource settings where laboratory infrastructure is limited.
This study successfully developed and optimized an RT-LAMP assay for the detection of SARS-CoV-2, offering a promising alternative to traditional RT-PCR methods. The RT-LAMP assay has several advantages, including a simplified workflow that eliminates the need for complex thermal cycling, rapid results (under one hour), and colorimetric detection for easy visual interpretation. The optimized protocol demonstrated strong sensitivity and specificity, especially for extracted RNA from pharyngeal swabs, making it reliable for various diagnostic settings.
While the RT-LAMP assay offers rapid results within one hour and requires minimal equipment, making it an ideal candidate for use in field and point-of-care settings, its current sensitivity limitations need to be addressed for it to become a truly reliable alternative to RT-PCR.
5.1. Conclusions
In conclusion, while the optimized RT-LAMP assay represents a significant advancement in molecular diagnostics, more research is needed to improve its sensitivity, especially for low viral loads, to fully compete with the gold-standard RT-PCR method. Additionally, integrating RT-LAMP with mobile health technologies could enhance its utility for real-time data collection, surveillance, and outbreak management, particularly in underserved regions. Continued innovation in assay optimization will be crucial for improving global health diagnostics and enhancing preparedness for future infectious disease outbreaks.