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PLOS ONE logoLink to PLOS ONE
. 2022 May 26;17(5):e0268692. doi: 10.1371/journal.pone.0268692

Development and implementation of a simple and rapid extraction-free saliva SARS-CoV-2 RT-LAMP workflow for workplace surveillance

Zhiru Li 1, Jacqueline L Bruce 1, Barry Cohen 1, Caileigh V Cunningham 1, William E Jack 1, Katell Kunin 1, Bradley W Langhorst 1, Jacob Miller 1, Reynes A Moncion 1, Catherine B Poole 1, Prem K Premsrirut 2, Guoping Ren 1, Richard J Roberts 1, Nathan A Tanner 1, Yinhua Zhang 1, Clotilde K S Carlow 1,*
Editor: Ruslan Kalendar3
PMCID: PMC9135294  PMID: 35617204

Abstract

Effective management of the COVID-19 pandemic requires widespread and frequent testing of the population for SARS-CoV-2 infection. Saliva has emerged as an attractive alternative to nasopharyngeal samples for surveillance testing as it does not require specialized personnel or materials for its collection and can be easily provided by the patient. We have developed a simple, fast, and sensitive saliva-based testing workflow that requires minimal sample treatment and equipment. After sample inactivation, RNA is quickly released and stabilized in an optimized buffer, followed by reverse transcription loop-mediated isothermal amplification (RT-LAMP) and detection of positive samples using a colorimetric and/or fluorescent readout. The workflow was optimized using 1,670 negative samples collected from 172 different individuals over the course of 6 months. Each sample was spiked with 50 copies/μL of inactivated SARS-CoV-2 virus to monitor the efficiency of viral detection. Using pre-defined clinical samples, the test was determined to be 100% specific and 97% sensitive, with a limit of detection of 39 copies/mL. The method was successfully implemented in a CLIA laboratory setting for workplace surveillance and reporting. From April 2021-February 2022, more than 30,000 self-collected samples from 755 individuals were tested and 85 employees tested positive mainly during December and January, consistent with high infection rates in Massachusetts and nationwide.

Introduction

Early detection of infection followed by isolation of contagious individuals is key to preventing the spread of SARS-CoV-2 infection in the population. The first diagnostic tests developed involved the use of nasopharyngeal (NP) swabs to collect nasopharyngeal and oropharyngeal specimens from deep in patients’ noses and throats. This method poses considerable discomfort to the patient and requires trained healthcare professionals for sample collection. To detect virus, the NP swabs are commonly processed by purifying viral RNA upstream of reverse-transcription-quantitative polymerase chain reaction (RT-qPCR), a laborious molecular diagnostic method requiring expensive equipment and highly skilled operators. Shortages of the specialized, medical-grade NP swabs in the early days of the pandemic, as well as limited numbers of trained medical and laboratory personnel, prompted a search for alternative, simpler testing approaches that can be broadly implemented.

The use of saliva as a less invasive sampling specimen is advantageous since it can be easily self-collected into simple vessels without the need for a healthcare worker, thereby reducing a considerable bottleneck and cost. During the early and acute phases of SARS-CoV-2 infection, a relatively high viral load can be detected in saliva [15] and comparative studies show strong agreement in the results obtained from paired nasopharyngeal and saliva samples from the same individual [1, 613]. Importantly, saliva has also been shown to be an effective specimen for the detection of infection in asymptomatic individuals [10, 14, 15] who have a high rate of viral shedding [16] and therefore pose a significant threat in terms of viral spread.

Initial studies exploring the potential use of saliva primarily used RT-qPCR for SARS-CoV-2 detection [1719]. More recently, reverse-transcription loop-mediated isothermal amplification (RT-LAMP) has emerged as an attractive and affordable alternative to RT-qPCR. RT-LAMP permits the rapid detection of pathogens without sophisticated equipment while retaining high levels of specificity and sensitivity [20, 21]. A polymerase with strand displacement activity enables exponential amplification of the target sequence under isothermal conditions [17, 20, 22]. Because of LAMP-based diagnostics’ simplicity, rapidity, and compatibility with various detection modalities, LAMP-based diagnostics have been deployed in low-resource or field settings, including the diagnosis and surveillance of neglected tropical diseases [2327] and viral infections [28, 29]. During the COVID-19 pandemic, saliva-based RT-LAMP methods are increasingly being explored [8, 11, 14, 30, 31] and RT-LAMP has become a standard COVID test method alongside RT-qPCR. Compared with RT-qPCR, the tolerance of the reaction chemistry used in LAMP to the inhibitors present in clinical samples [22, 32] can obviate the need for a nucleic acid extraction/purification step, reducing both the time and cost to process samples. In the case of saliva, a more biologically complex sample [33] than nasal fluid, additional care should be taken when a minimal or extraction-free method is being considered. Saliva pH, color, viscosity, and RNase activities can vary widely and potentially impact the ability to detect viral RNA.

In the present study, we report an extraction-free, saliva-based RT-LAMP workflow for SARS-CoV-2 detection with the option of a simple colorimetric endpoint and/or a semi-quantitative fluorescence readout. We demonstrate the robustness of the method using a large cohort of contrived human samples and successful implementation for frequent surveillance testing in the workplace. This has enabled us to identify and isolate infected individuals with trace viral loads before symptom onset and limit viral spread.

Materials and methods

Ethical approval

Review and approval were obtained from the WCG/New England Institutional Review Board (IRB), Study Number 1298746. All relevant ethical guidelines and regulations were followed and study participants, or their legal guardians, provided written informed consent. Collection, processing, and reporting of COVID-19 testing results were performed in compliance with the CLIA (Clinical Laboratory Improvement Amendments) registration granted to New England Biolabs.

Saliva samples

A total of 1,670 saliva samples were donated by 172 uninfected individuals during October 2020-March 2021 as part of the IRB study. Each specimen was anonymized prior to use. Between April 2021-February 2022, 755 individuals participated in a workplace surveillance program, providing saliva specimens 1–3 times/week. Prior to saliva collection, donors were requested to refrain from drinking anything but water, eating, chewing gum or tobacco, or smoking for at least 30 minutes prior to collection. Saliva was self-collected by passive drooling through a 1.0 mL unfiltered pipette tip into 1.5 mL tubes, each pre-applied with a pair of QR Codes, one on the top and one on the side, for accurate specimen identification. Unless specified, samples were stored at room temperature for less than 4 hours or overnight at 4°C prior to testing. Tubes containing saliva were heated at 65°C for 30 min in a benchtop incubator (Boekel Scientific) before opening to inactivate any virus present [34]. All samples were handled in a biohazard hood (SterilGARD Hood Class II Type A/B3).

SARS-CoV-2 reference positive and negative saliva samples were kindly provided by Mirimus Clinical Labs (Brooklyn, NY). Samples were obtained from consented individuals using the Mirimus SalivaClear Collection Kit (Cat# 800100) according to the SalivaDirect FDA EUA (EUA 202097). Samples were de-identified and provided to NEB, under the SUNY Downstate IRB protocol #1603504. These samples were tested using purified RNA and RT-qPCR. RNA was obtained using the ThermoFisher King Fisher Flex automated RNA extraction system with the MagMax viral pathogen kit, according to protocol. RT-qPCR was performed using the ThermoFisher TaqPath COVID-19 Combo Kit for N, Orf1ab, S genes (A47814), a kit authorized under EUA for SARS-CoV-2 detection.

Sample preparation

An extraction-free saliva lysis buffer (SLB) was developed and prepared as a 2X solution containing 5 mM tris(2-carboxyethyl) phosphine (TCEP, Millipore Cat# 580567), 22 mM sodium hydroxide (Sigma 72068), 2 mM Ethylenediaminetetraacetic acid (EDTA, Invitrogen 15575–038) and 0.4% Pluronic F-68 (Gibco 24040–032). To release and stabilize RNA for detection, 15 μL of heat-inactivated saliva samples were mixed with 15 μL of 2X SLB buffer. Mixed samples were heated in a thermocycler (Bio-Rad T100 Thermal Cycler) at 95°C for 5 min, unless otherwise indicated, then cooled to 4°C. For each RT-LAMP reaction, 2 μL of treated saliva sample, corresponding to 1 μL of neat saliva, was used in a 20 μL reaction.

For comparison studies, RNA was purified from 200 μL saliva using the Monarch® Total RNA Miniprep Kit (NEB, Cat# T2010) following the protocol for Saliva, Buccal Swabs, and Nasopharyngeal Swabs. RNA was eluted with 80 μL of nuclease-free water, quantified using the Qubit RNA BR Assay Kit (ThermoFisher Scientific, Cat # Q33224), and stored at -80°C.

Control virus and RNA

As a positive control, gamma-irradiated (BEI, Cat# NR-52287, Lot No. 70035888) or heat-inactivated (BEI, Cat# NR-52286, Lot no. 70034991) SARS-CoV-2 virions were used to spike saliva. The reported genome copies for γ-irradiated and heat-inactivated SARS-CoV-2 were 1.75x109 and 3.75x108 genome equivalents/mL, respectively. Viral stocks were aliquoted into small volumes and stored at -80°C until use. Diluted viral stock solutions were also prepared in a freezing solution (10% glycerol, 2.5% ethylene glycol) and stored at -80°C. To generate a dilution series, a known amount of virus was serially diluted in saliva obtained from SARS-CoV-2 negative donors. Synthetic SARS-CoV-2 RNA (Twist Bioscience, Cat # MN908947.3) was used to generate a standard curve for RT-qPCR. Total human RNA from HeLa cells (ThermoFisher, Cat# AM7852) was used to validate reagents. RNAs were stored at -80°C.

RT-qPCR

RT-qPCR was performed using the Luna® SARS-CoV-2 RT-qPCR Multiplex Assay Kit (NEB Cat # E3019) following the manufacturer’s instructions in a Bio-Rad CFX96 thermocycler. Each 20 μL reaction contained 2 μL RNA purified from saliva. N1 (HEX), N2 (FAM) and RNase P (Cy5) targets were simultaneously detected using the following cycling conditions: carryover prevention (25°C for 30 sec), cDNA synthesis (55°C for 10 min), initial denaturation (95°C for 1 min) followed by 45 cycles of alternating denaturation (95°C for 10 sec) with annealing/elongation (60°C for 30 sec) plus a plate read step.

RT-LAMP

RT-LAMP reactions were performed using the SARS-CoV-2 Rapid Colorimetric LAMP Assay Kit (NEB Cat # E2019), targeting N and E regions of the SARS-CoV-2 genome. For each specimen, an endogenous actin control reaction was performed to ensure that sample lysis was achieved, and the saliva was of sufficient quality. Each sample was tested for both SARS-CoV-2 (COVID LAMP) and actin (Actin LAMP), unless otherwise stated. Reactions containing water served as no template controls (NTC) to monitor for any background signal. Inactivated SARS-CoV-2 virus was used as a positive control to ensure the proper functioning of the COVID LAMP reaction. Human RNA was used as a positive control for the actin LAMP reaction. To enable reaction dynamics to be monitored in real-time, SYTO™ 9 green fluorescent nucleic acid stain (Invitrogen Cat # S34854) was added to a final concentration of 1 μM in the colorimetric LAMP reaction. Each 20 μL reaction in a strip tube or 96-well plate was run at 65°C in a Bio-Rad CFX96 or Opus thermocycler and fluorescence was read in the SYBR/FAM channel every 15 seconds for 97 “cycles”. The total reaction time was ~35 minutes with each “cycle” corresponding to ~22 seconds of reaction time (15 seconds combined with plate reading time). Following completion of RT-LAMP, data were processed using the Bio-Rad CFX-Maestro software using baseline subtracted curve fit and fluorescent drift correction. The time (min) to reach the fluorescence detection threshold was determined (Tt). No amplification is denoted N/A or assigned a Tt of 36 minutes for plotting purposes. To record color changes, tubes or 96-well plates were imaged using an Epson Perfection V600 Photo Scanner before and after the RT-LAMP reaction. A cut-off Tt value of 26 minutes was used to differentiate positive/negative reactions. A Tt ≤ 26 minutes with a post amplification color of yellow indicated the detection of the target, whereas a Tt > 26 minutes or N/A, and a post reaction color of pink or sometimes orange, indicated no detection.

Extraction-free saliva RT-LAMP workflow for workplace surveillance

Employee samples were processed in a CLIA-registered facility at New England Biolabs. Saliva was collected in 1.5 mL QR-coded tubes and self-registered in a purpose-built Laboratory Information Management System (LIMS) using cell phone QR code recognition or manually entered codes. Registered tubes were placed in 96-well microcentrifuge tube racks. Images of the loaded racks, with positive and negative controls added, were taken with a mounted cell phone camera by the lab operator and uploaded to LIMS to track sample location and generate a plate map file for import into the Bio-Rad CFX-Maestro software. Following heat treatment at 65°C for 30 minutes to inactivate any virus present, samples were processed as described. Saliva was tested within 4 hours of collection and both color and real-time fluorescent readouts were obtained for each sample.

A negative COVID test result was reported when the COVID LAMP assay was negative with endogenous actin detected. If actin was not detected, the sample was retested in triplicate and reported as inconclusive if any of the repeat testing failed to detect actin. When a positive COVID LAMP result was obtained, repeat testing was also performed in triplicate. A final determination of a positive COVID result required 2 or more positive results in repeat testing, otherwise, the sample would be scored inconclusive (1/3 positive) or negative (0/3 positive).

The pre- and post-amplification images of the colorimetric reactions as well as amplification files were uploaded and stored in the LIMS tracking system. The test result was automatically generated from the database based on the cutoff values and criteria described above. All automated data was manually reviewed before release of results to individuals or to state health agencies. Links to results were released to employees via automated email immediately if negative, or after repeat testing in triplicate for confirmation of a positive or inconclusive outcome. The processing time from sample inactivation to reporting results was ~2 hours.

Results

Optimization of a sample preparation method for rapid release and stabilization of viral RNA

To achieve highly reliable detection of SARS-CoV-2 in crude saliva, a commonly used buffer containing TCEP, NaOH, and EDTA was selected [35]. This buffer was subsequently modified to include the detergent Pluronic F-68 and referred to as saliva lysis buffer (SLB). The performance of SLB (with and without Pluronic F-68) was evaluated on contrived saliva samples. A pool of fresh saliva from uninfected donors (10 individuals) was spiked with 10–40 copies of virus /μL (6 replicates). Both real-time fluorescence (Tt) and colorimetric (pink/negative, yellow/positive) readouts were obtained for each sample (Fig 1A). The inclusion of Pluronic F-68 enabled more consistent detection of virus, particularly when less virus was present. At 40 copies/μL, all samples turned from pink to yellow in the presence of Pluronic F-68, whereas 1/6 remained pink in the absence of detergent, indicating a failure to detect the virus in this sample. At the lowest concentration tested, 10 copies/μL, 5/6 replicates scored positive using SLB, in contrast to only 3/6 when no detergent was present. A similar trend was observed using fluorescence as the output with all positive (yellow) samples reaching the detection threshold between 10–15 minutes, whereas the samples that scored negative (pink) had very delayed Tt or none (N/A). The detergent did not interfere with the quality of the color readout, nor the ability to detect endogenous actin in the same specimen (Actin LAMP). Actin was easily detected with or without Pluronic F-68.

Fig 1. The effects of the detergent Pluronic F68 and heat treatment on viral detection in saliva.

Fig 1

(A) Contrived saliva samples were processed in SLB with or without detergent followed by heat treatment (95°C for 5 min). Samples were spiked with 10–40 copies of virus /μL (6 replicates). Both real-time fluorescence (Tt value) and colorimetric (pink/negative, yellow/positive) readouts were obtained for each sample. The scanned image of the post-amplification plate (COVID LAMP and actin LAMP) is shown with overlaid Tt values. (B) Contrived samples spiked with 2–10,000 viral copies/μL, were processed in triplicate using either 75°C for 15 min, 85°C for 10 min, 95°C for 5 min or no heat. The scanned image of the post amplification plate (COVID LAMP) is shown with overlaid Tt values. (C) The plot of Tt values from (B). No amplification is denoted N/A.

To evaluate the performance of SLB at various temperatures, contrived samples spiked with 2–10,000 viral copies/μL, were processed in triplicate using either 75°C for 15 min, 85°C for 10 min or 95°C for 5 min (Fig 1B and 1C). It was apparent that heat treatment was essential with the highest levels of sensitivity achieved after heating at 85°C for 10 min or 95°C for 5 min, both detecting 39 copies/μL in all triplicate samples. Heating samples at 95°C for 5 min resulted in the best performance and greatest reproducibility across a range of viral loads and was selected as the optimal temperature to rapidly release and stabilize viral RNA. This protocol also proved optimal for actin detection (S1 Fig).

Impact of saliva input on RT-LAMP performance

Saliva is a complex biological mixture that can vary widely in pH, color, and viscosity. These factors can impair amplification efficiency and influence the performance of the test [36]. The characteristics that affect saliva viscosity include the presence of aggregates, variations in temperature, and the time elapsed between sample collection and testing. Saliva naturally settles into supernatant and sediment phases soon after collection and storage. To determine if the virus is associated with a particular phase and if the performance of RT-LAMP is impacted by the different phases, supernatant, sediment, and evenly resuspended sample from crude positive saliva were each evaluated as input material (Fig 2A). Virus was detected in all phases with the fastest amplification (lowest Tt) observed in the supernatant, indicating that saliva supernatant is optimal for testing and no pre-mixing is required. Viral and actin detection was least efficient when crude sediment was used as input. For comparison, RNA was also purified from supernatant and sediment. This resulted in overall faster amplification for both COVID and actin assays than with crude lysate, likely due to the elimination of inhibitors or interfering substances present in crude saliva. These results demonstrate that saliva supernatant is suitable for viral detection, obviating the need for an additional re-suspension step, which is particularly helpful when dealing with large numbers of samples simultaneously.

Fig 2. Impact of saliva input on RT-LAMP performance.

Fig 2

(A) Naturally-settled, supernatant and sediment from positive saliva and corresponding purified RNAs were evaluated in COVID and actin LAMP reactions. (B) Different volumes of positive saliva ranging from 0.25 μL to 6 μL were used in COVID and actin LAMP reactions. LAMP Tt values were plotted. All samples were tested in triplicate.

To evaluate the tolerance of the LAMP assay to increasing amounts of saliva, amounts ranging from 0.25–6 μL SARS-CoV-2 positive saliva were used as input in a 20 μL reaction (Fig 2B). At all volumes of saliva input, virus was detected, but the best overall performance was observed with 1 μL of a saliva sample. Lower than 1 μL, more variation was observed in triplicate samples. Increasing saliva input volume did not increase sensitivity and delayed the reaction time for viral detection, with a difference as much as 4 min when using 1 μL versus 6 μL saliva. A similar trend, though not as pronounced, was also observed with respect to actin detection following volumetric adjustments in saliva input (Fig 2B).

To evaluate the robustness of the extraction-free LAMP assay to individual variation and optimize the workflow, 1,670 negative saliva samples were collected from 172 different individuals over the course of 6 months. This diverse set of saliva specimens was used to generate contrived samples each spiked with 50 copies/μL of heat-inactivated virus. Of the 1,670 spiked samples, 1,646 (98.6%) scored positive in fluorescent LAMP assays (Fig 3) using 26 minutes as a cutoff. Most (91.7%) samples scored positive for COVID within 15 minutes using the real-time fluorescent signal, whereas 24 samples failed to amplify indicating a false negative rate of 1.4% (Fig 3A). In the actin control LAMP, 1,664 (99.6%) scored positive, most of them (95.6%) within 15 minutes (Fig 3B). When the Tt values from COVID and actin amplification reactions from all the samples were plotted, a positive correlation (Pearson correlation coefficient R2 value of 0.63, P-value < 0.0001) was observed (Fig 3C).

Fig 3. Performance of the extraction-free RT-LAMP method using saliva collected from a large cohort of individuals.

Fig 3

A total of 1670 negative saliva samples were each spiked with 50 copies/μL of virus and evaluated in COVID and actin LAMP reactions. Histogram depicting the distribution of Tt values from COVID (A) and actin (B) LAMP reactions are shown. (C) Plotted COVID and actin Tt values (blue circles) and linear regression line with the value of R squared (Pearson product-moment correlation coefficient) and p-value. No amplification is assigned a Tt value of 36 for plotting purposes.

Pooling saliva is often an attractive option to minimize testing costs. To assess the suitability of the method for pooled saliva testing, one SARS-CoV-2 positive saliva specimen was combined with equal volumes of 1 to 15 randomly selected negative saliva samples from different individuals, corresponding to dilution series of 1:2 through 1:16 of the original viral titer. All 15 sample pools and the single positive specimen yielded a positive result (S2 Fig). In this experiment, problematic samples which contained inhibitory substances were diluted in the pool, indicating that a pooling strategy can be beneficial in cases where a particular specimen has a low pH, is colored or viscous, or contains salivary inhibitors impairing amplification efficiency.

Clinical performance of the extraction-free saliva RT-LAMP workflow

Taking into consideration the variability observed between individual saliva specimens, two separate pools were each generated by combining equal volumes of saliva from ten different negative individuals and used to determine the limit of detection (LoD). Twenty replicate samples were prepared from each pool and spiked with 40 copies of virus /μL and then tested in triplicate. All 60 reactions from each of the 2 pools (Fig 4) scored positive (100% sensitivity) within 10 (pool 1) or 11 (pool 2) minutes. When spiked with fewer copies of virus, the viral RNA was also detected but at a reduced frequency. At 20 copies/μL or 10 copies/μL, sensitivities of 82% (49/60) and 63% (38/60) were obtained, respectively. The LoD, defined as the lowest concentration that can be detected with a 95% detection rate [37], was calculated to be 39 copies/ μL using an R script that determines LoD using curve-fitting methods [38].

Fig 4. The limit of detection.

Fig 4

Two saliva pools from different negative individuals (n = 10) were spiked with 10–40 copies of virus /μL. Three LAMP reactions were performed using 20 different replicate samples. The Tt values derived from 60 reactions are plotted. No amplification is assigned a Tt value of 36 for plotting purposes.

To evaluate the diagnostic capabilities of the workflow using pre-defined clinical samples, a total of 30 positive and 30 negative saliva specimens were tested at least three times by two different operators in a blinded manner (S3 Fig). The status of these samples had previously been determined in an RT-qPCR test using purified RNA from each sample as input (Mirimus Inc.). The overall clinical sensitivity [(True Positives)/(True Positives + False Negatives)] was 97% and specificity [(True Negatives)/(True Negatives + False Positives)] of 100%, demonstrating the high accuracy of the workflow.

To compare the performance of RT-LAMP with RT-qPCR, 16 saliva samples containing a range of viral load were tested in both assays. For RT-LAMP, both saliva lysate and purified RNA were used as input, whereas RT-qPCR was performed using only purified RNA (Tables 1 and S1). Cq values in RT-qPCR, ranged from 24–39, and all 11 samples with Cq values less than 35 also tested positive in RT-LAMP using saliva lysate as input. When purified RNA was used in RT-LAMP, one additional sample (#12) scored positive. This sample had a very low viral load with a Cq value greater than 35 in RT-qPCR, equivalent to ~ 5 copies of viral RNA (S4 Fig). These data demonstrate the high performance of the extraction-free saliva RT-LAMP workflow, which is considerably simpler and faster to perform than RT-qPCR.

Table 1. Direct comparison of SARS-CoV-2 detection using RT-qPCR and extraction-free RT-LAMP.

Samples Purified Saliva RNA Saliva Lysate
RT-qPCR N1 (Cq) RT-qPCR N2 (Cq) COVID LAMP (Tt) COVID LAMP (Tt)
1 24.8 24.8 24.2 24.3 8.9 8.9 8.7 8.6
2 26.2 26.3 25.8 25.8 9.9 9.9 9.8 10.1
3 27.3 27.2 26.9 27.0 8.5 8.4 10.7 10.3
4 28.6 28.7 28.2 28.2 9.5 9.6 9.4 9.4
5 30.1 30.2 29.8 29.8 9.2 8.9 10.7 10.3
6 31.6 31.7 31.1 31.1 9.4 9.2 13.3 11.5
7 31.7 32.0 31.2 31.6 10.3 9.8 11.3 11.0
8 32.0 32.0 31.3 31.3 9.5 9.6 12.0 11.9
9 32.9 33.3 36.1 36.5 12.1 12.0 13.6 13.6
10 34.3 34.5 33.4 34.0 10.3 10.9 10.6 11.6
11 34.7 34.7 N/A N/A 14.0 13.3 16.5 14.7
12 35.3 35.5 35.4 35.2 12.0 11.7 22.9 N/A
13 37.5 N/A N/A N/A N/A N/A 16.4 N/A
14 37.8 37.5 37.9 38.3 13.8 28.4 N/A N/A
15 38.4 38.1 N/A N/A N/A 19.8 N/A N/A
16 38.8 39.1 N/A N/A N/A N/A N/A N/A

16 saliva samples containing a range of viral load were tested in RT-qPCR (N1 and N2 targets) and RT-LAMP(SARS-CoV-2). For RT-LAMP, both saliva lysate and purified RNA were used as input, whereas RT-qPCR was performed using only purified RNA. Cq values for RT-qPCR and Tt for RT-LAMP are shown. No amplification is denoted N/A.

Successful implementation of the extraction-free saliva RT-LAMP workflow for workplace surveillance

A workflow from specimen collection to testing and result reporting was implemented in a CLIA lab setting (Figs 5 and S5). During the 45-week period, employees were tested once per week from April to July 2021, and from August 2021 to February 2022, the frequency was increased to twice per week. A total of 755 individuals (registered as 406 males, 341 females, and 8 gender not indicated) provided 32,906 self-collected saliva samples for testing. The highest number of positive cases was observed between 24 December 2021 and 14 January 2022 (Fig 6A). Of the 85 positive individuals, there were 47 males, 35 females, and 3 gender not indicated. Samples from males scored positive within 7–23 minutes (Fig 6B). While the difference between Tt derived from males and females is not statistically significant (Wilcoxon ranked sum, p value = 0.075), only samples from males (9) were observed with Tt ≤8 indicating a high virus titer in these specimens. In analyzing the testing history of positive individuals, we found at least 13% of positive individuals still testing positive after 10 days, however, most of these were negative by Day 14 (Fig 6C). No difference in the rate of viral clearance in males versus females was observed. Importantly, only 42/32,906 samples generated an inconclusive result (0.13%) after triplicate repeats, reflecting both the robustness of the test and the quality of the samples submitted for testing.

Fig 5. Diagrammatic representation of the extraction-free saliva SARS-CoV-2 RT-LAMP workflow.

Fig 5

The process from specimen collection, sample lysis, RT-LAMP testing and result reporting are shown.

Fig 6. Using extraction-free saliva RT-LAMP for workplace surveillance.

Fig 6

(A) The number of samples tested each week from 4/9/2021 until 2/9/2022 (blue bars) and new positive cases identified (red line). (B) Distribution of initial COVID Tt values obtained from male, female and individuals with gender not indicated (N/A). Average Tt values for first positive cases (Y-axis) based on gender (columns) and submitter age (X-axis), median (line), quartile boundaries (boxes), and 1.5x the interquartile range (whiskers) are displayed. (C) Testing history of all positive cases from April 2021 to February 2022. For each employee, negative (grey), positive (dark red, first detected; light red, subsequent detection), or inconclusive (green) results are indicated.

To compare the two readouts used, namely the fluorescence versus an endpoint color determination, a blinded study was performed using 3,654 (~10% of total specimens processed) samples collected from 18 January 2022 to 4 February 2022. Without prior knowledge of the results (157 positives, 3,486 negatives, and 11 inconclusive), the endpoint color readout was scored by 3 different operators, taking into consideration both COVID and actin reactions (Table 2 and S6 Fig). A strong concordance with a Fleiss’s Kappa [39, 40] value of 0.999, (95% CI 0.966–0.999) between the two readout methods was observed with a yellow color (positive) corresponding to a fast amplification and pink/orange shaded as negative (Tt > 26 minutes or N/A). The six samples that were not detected by eye, were orange shaded and corresponded with late Tt values, representing low viral loads or at the limit of detection of the test. This demonstrates the reliability of the visual inspection method and the ability to use colorimetric RT-LAMP for simplified diagnostic workflows.

Table 2. Comparison of the two assay readouts: Fluorescence versus color assessment.

Positive Negative Inconclusive
Fluorescence COVID Tt ≤ 26 min > 26 min > 26 min or N/A
Actin Tt ≤ 26 min ≤ 26 min > 26 min or N/A
Sample Number 157 (4.3%) 3486 (95.4%) 11 (0.3%)
Color COVID Yellow Pink/Orange Pink/Orange
Actin Yellow Yellow Pink/Orange
Operator 1 149 (4.1%) 3497 (95.7%) 8 (0.2%)
Operator 2 152 (4.2%) 3491 (95.5%) 11 (0.3%)
Operator 3 152 (4.2%) 3496 (95.7%) 6 (0.2%)

A blinded study was performed on 3,654 samples using two readouts, namely fluorescence and endpoint color. The endpoint color readout was scored by 3 different operators. The number of samples (and percent of total) scored as positive, negative, or inconclusive are shown.

Discussion

The goals of the present study were to develop a simple, rapid, and robust SARS-CoV-2 workflow for saliva testing and implement the method for workplace surveillance where frequent testing of asymptomatic individuals is required to prevent transmission.

While several saliva-based approaches have been demonstrated for the detection of SARS-CoV-2 using LAMP [8, 14, 30, 31, 35, 4145], including extraction-free or direct protocols [13, 30, 35, 41, 42, 44, 46, 47], no gold standard method exists. We focused on the development of a simple and improved sample preparation protocol compatible with this complex sample and downstream LAMP reactions. We examined supernatant and sediment fractions that naturally form within minutes of collection in a crude saliva specimen and determined that the virus is present and easily detectible in both, circumventing the need for a mixing step prior to sampling. Following collection, the virus is known to be stable in saliva for extended periods of time at elevated temperatures without the addition of preservatives [18, 48, 49]. However, once RNA is released from the viral envelope, we found that it is rapidly degraded if not protected. This is likely due to the high level of endogenous RNases in human saliva [50, 51]. In the extraction-free method described in this study, 95°C heating is used to disassemble the viral particle and release RNA as well as denature and inactivate some of the RNases in the presence of a buffer containing a TCEP/EDTA mixture. TCEP is a reducing reagent that abolishes the activity of RNases via the reduction of disulfide bonds present in the enzyme, while EDTA chelates the divalent cations required for nuclease activity. The non-ionic surfactants Tween 20 and Triton X-100 have also been used to help disrupt the viral envelope and release RNA upstream of RT-LAMP [35]. However, we observed a rapid degradation of viral RNA and failure to detect the virus when positive saliva samples were incubated at room temperature for 20 minutes in a buffer containing Triton X-100 (S7 Fig). Indeed Tween-20 and Triton X-100, used in the range of 0.1–2.0%, have been reported to increase human RNase activity [50]. We demonstrated that the addition of 0.2% Pluronic F-68 to the sample preparation buffer increased the sensitivity of the RT-LAMP assay. Pluronic F-68 is an environmentally friendly [52], non-ionic detergent, commonly used to reduce foaming in stirred cultures and reduce cell attachment to glass. Detergents dissolve the lipid bilayer by forming a micelle, a process that depends on temperature and the critical micelle concentration (CMC). While Triton X-100 has a low CMC of ~0.02% (0.02g/dL) at room temperature, Pluronic F-68 has a substantially higher CMC of 10g/dL at 20°C, but a much lower one at a higher temperature 0.5g/dL at 50°C [53]. The temperature-dependent CMC of Pluronic F-68 may maintain the integrity of the virus at low temperature while the RNase activity is still high and subsequently facilitate the release of RNA during the heating step when the RNase activity is lower.

The constituents of saliva vary significantly both within and between individuals and are subject to collection method, hydration, and circadian rhythms [54]. Saliva has a pH normal range of 6.2–7.6 [55]. Colorimetric LAMP uses the pH-sensitive dye phenol red which turns from pink/red to yellow at pH 6.8 and lower, following the generation of hydrogen ions resulting from amplification of the target [5658]. Low pH saliva can cause reactions to instantaneously change to yellow pre-amplification and, if not noted, will result in a false positive determination [29, 36]. In one study, 7% of saliva samples tested triggered a color change without amplification [11], and in another 15% of specimens showed a discordant color output when compared with an agarose gel electrophoresis readout [30]. In the present study we demonstrated the robustness of the lysis system when challenged with more than 1670 spiked crude saliva samples, with only 0.13% of samples invalidated due to a color change pre-amplification. For these highly acidic samples, the addition of sodium hydroxide, to a final concentration of 30mM, usually corrected the pre-amplification color to pink and enabled actin detection (S8 Fig) and validation of the corresponding COVID test. Since low pH saliva was usually associated with a particular individual, we found it simpler to inform the donor and request an adjustment to their collection method, such as providing a sample at a different time of the day or rinsing the mouth with water briefly before collection. This behavioral change improved the quality of the sample and substantially decreased the inconclusive rate. We also discovered that pooling saliva prior to testing can be beneficial in cases where a particular specimen is problematic due to low pH, color, or viscosity, or has substances that interfere with nucleic acid amplification. Pooling saliva for large-scale surveillance programs has proven to be a highly cost-effective strategy [12, 17, 42, 59, 60] and used successfully in schools and universities to routinely identify asymptomatic individuals in pool sizes comprised of 24 samples [17]. These studies include an RNA purification step and RT-qPCR for detection. We demonstrate here the successful detection of a single positive specimen in a pool size of 16 samples using the extraction-free RT-LAMP method.

To further determine the efficiency of the color readout upon visual inspection, the color output of 3654 samples was scored without knowledge of the corresponding fluorescence readout. The high concordance between the instrument-reported fluorescent output and the human eye highlights the versatility and robustness of the RT-LAMP method. The visual readout option does not require sophisticated equipment or highly skilled personnel and is well suited to a low-resource or field setting. The use of a colorimetric signal also enables absorbance-based measurements of color (Color SARS-CoV-2 RT-LAMP Diagnostic Assay) and simple at-home testing (Lucira™ COVID-19 Test Kit, Lucira Health), expanding the utility of RT-LAMP to be compatible with laboratories or settings without fluorescence instruments.

For reporting purposes, we used the fluorescent readout with a cutoff Tt < 26 minutes to determine positivity. We noted that if the initial COVID Tt is less than 11 minutes, all triplicate samples tested positive with a similar Tt value but more variance was observed in replicate testing at higher Tt values (S9 Fig). On a few occasions, either at the onset or end of infection, an inconclusive determination was made after the initial test scored positive but not all replicates tested positive. This likely reflected a low viral load present. We also noted more variance in the testing outcome late in infection with the same individual testing positive after receiving one or more consecutive negative test results, likely due to low levels of virus present in the saliva. This is consistent with the findings in our validation study showing that a viral load higher than 40 copies/μL of saliva can be detected confidently but samples with a lower viral titer would less likely be detected. In the clinical validation studies, the overall sensitivity of 97% and specificity of 100% were achieved.

The high performance of the extraction-free RT-LAMP method was also demonstrated when compared with RT-qPCR using purified RNA as input material. Only samples with very late Cq values (greater than 34) in RT-qPCR, failed to amplify in extraction-free RT-LAMP. The results are overall similar to the values obtained using LAMPore on much larger sample sizes [61]. High Cq values (>34) in RT-qPCR have been shown to correlate with low viral loads (<100–1,000 copies/μL in biofluid) and these individuals are rarely infectious or not infectious [45].

In an analysis of almost 100,000 individuals in the United States, more males tested positive for SARS-CoV-2 than females [62]. Viral loads have also been reported to be ~ 10 times higher in males compared to females, as well as a slower viral clearance in males [30]. In our study, involving more than 30,000 saliva samples from 406 males, 341females, and 8 gender not indicated, we did not observe a significant difference in positivity rates between genders, likely due to the small number of cases identified (47 males and 35 females). Interestingly, we found a higher viral load in samples from males, however, clearance rates did not differ between males and females. At 10 days after the initial positive test, we found 13% of positive individuals still testing positive with most of them testing negative for viral RNA by day 14. This may be a general trend for saliva-based COVID diagnostics since in a mass screening program in Slovenia, the viral load in saliva peaked within the first week of infection with most individuals testing negative within 2 weeks after the first positive RT-LAMP test [42].

During our surveillance, the peaks in new cases largely following a holiday period as has been reported in other testing programs [17], and generally mirrored the epidemiological data from Massachusetts and nationwide. The rapid testing time allowed the identification and isolation of positive individuals within hours of sample collection and resulted in low workplace transmission. The simple saliva workflow described requires minimal sample manipulation and is applicable to a variety of settings, budgets, scales of testing, and a range of available infrastructure. It enables widespread and frequent diagnostic testing which is key to preventing the spread of SARS-CoV-2 infection in the population.

Supporting information

S1 Fig. Heat treatment on endogenous actin detection in saliva.

Contrived samples spiked with 2–10,000 viral copies/μL, were processed in triplicate using either 75°C for 15 min, 85°C for 10 min, 95°C for 5 min, or no heat. The scanned image of the post-amplification actin LAMP plate with overlaid Tt values (upper panel) and the plot of actin Tt values (lower panel) are shown.

(TIF)

S2 Fig. Suitability of the extraction-free RT-LAMP method for pooled saliva testing.

Positive saliva was combined with equal volumes of 1 to 15 randomly selected negative saliva samples from different individuals, corresponding to dilution series of 1:2 through 1:16 of the original viral titer, and tested in COVID and actin LAMP reactions. All samples were tested in triplicate. LAMP Tt values are plotted.

(TIF)

S3 Fig. Sensitivity and specificity test.

Previously identified SARS-CoV-2 positive (n = 30) and negative (n = 30) samples were tested blindly in COVID and actin LAMP reactions. The scanned images of the post-amplification COVID and actin LAMP plates are shown with overlaid Tt values. Positive samples were revealed after the experiment and marked with red circles. The missed positive sample was marked with a red square. Negative and positive controls are marked with a blue rectangle. Experiments were performed 3 times with 2 different operators. The result from one experiment is shown.

(TIF)

S4 Fig. RT-qPCR standard curve using Twist RNA.

Different copy numbers of Twist RNA (5, 10, 100, 1000, and 10000) were used to generate a standard curve using the Luna® SARS-CoV-2 RT-qPCR Multiplex Assay Kit. Amplification and standard curves from both N1 and N2 targets are shown.

(TIF)

S5 Fig. Laboratory Information Management System: LIMS.

(A) User Interface: (1) Patient Log In, (2) Sample Submission and (3) Patient Result. (B) Operator Interface: (1) New Run, (2) Results Uploaded, (3) Sample Status, (4) Results Review and (5) Batch History.

(PDF)

S6 Fig. Comparison of fluorescent and color readout.

3,654 samples were evaluated. The testing date (X axis) and the Tt values from COVID and actin LAMP assays are plotted (Y axis). A Tt value of 36 minutes was assigned to reactions with no fluorescent signal detected (N/A). The post-amplification color images were scored. Light blue dots represent samples that generated a concordant result. Discordant samples are shown with orange circles. All control reactions represented by dark blue dots were concordant.

(TIF)

S7 Fig. Impact of Triton X-100 addition on SARS-CoV-2 detection.

Contrived saliva samples spiked with 20 viral copies/μL were mixed with SLB buffer or Cepko buffer with 0.2% Triton X-100. Samples were incubated on ice or at room temperature for 20 minutes before being heated at 95°C for 5min. Covid LAMP reactions were performed with 2μL of lysate. Post amplification image of 12 reactions per condition was shown. Positive reactions showed yellow color and negative reactions showed pink/orange color.

(TIF)

S8 Fig. Impact of NaOH addition on saliva actin LAMP.

Four different saliva samples were tested (triplicate) in actin LAMP reaction with or without 30mM of NaOH. The pre-amplification image and post-amplification image overlaid with Tt value are shown.

(TIF)

S9 Fig. Concordance between initial COVID test and repeat testing.

All samples which generated a COVID Tt value below 26 minutes were repeated in triplicate. The initial COVID Tt value (X axis) and Tt difference between the initial and the average of triplicate repeat tests (Y axis) were plotted. Each dot represents a single sample. Tt value of 36 minutes was assigned to reactions with no fluorescent signal detected (N/A) for calculation purposes.

(TIF)

S1 Table. Internal actin control detection of the 16 samples.

16 saliva samples containing a range of viral load were tested in RT-qPCR (RNaseP) and RT-LAMP (Actin). For RT-LAMP, both saliva lysate and purified RNA were used as input, whereas RT-qPCR was performed using only purified RNA. Cq values for RT-qPCR and Tt for RT-LAMP are shown. No amplification is denoted N/A.

(DOCX)

Acknowledgments

We thank Amit Sinha and Sofia Roitman for participation in the blinded reading of colorimetric data and computational assistance, and Nicole Nichols for helpful discussions, Lori Tonello for organizing the many volunteers involved in saliva kit assembly, Tasha José for the diagrammatic representation of the workflow, Dr. Gyorgy Abel for medical oversight, Lea Antonopoulos for reagents, and Tom Evans for guidance and feedback on the manuscript.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

New England Biolabs (www.neb.com) has funded this study. ZL, JLB, BC, CVC, WEJ, KK, BWL, JM, RAM, CBP, GR, RJR, NAT, YZ and CKSC are employees of New England Biolabs. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Ruslan Kalendar

6 Apr 2022

PONE-D-22-07620Development and Implementation of a Simple and Rapid Extraction-Free Saliva SARS-CoV-2 RT-LAMP Workflow for Workplace SurveillancePLOS ONE

Dear Dr. Carlow,

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Reviewer #1: Yes

Reviewer #2: Yes

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

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Reviewer #1: Yes

Reviewer #2: Yes

**********

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Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Reviewer #1:

In this manuscript, the authors have developed and validated a saliva-based nucleic acid amplification test (RT-LAMP) that offers speed and convenience compared to the typical NAAT that is employed for SARS-CoV2 detection, RT-qPCR. The authors optimized a buffer for virus inactivation and RNA stabilization from saliva, and implemented fluorescence-based and colorimetric detection systems for determining the results of the reaction. Authors determined the major validation parameters for a diagnostic test, including analytical sensitivity (not specificity), and diagnostic sensitivity and specificity compared to the RT-qPCR test. The authors employed the test for the purposes of surveillance at a workplace setting, and screened a large number of samples (>30k) over the course of nearly a year. Authors conclude that the RT-LAMP can offer a rapid, convenient, and relatively inexpensive means to monitor staff for infection in order to mitigate workplace spread of covid. Overall, this is a comprehensive and well-written description of a fast and convenient means to detect SARS-CoV2 in clinical samples that can be challenging (saliva), but offer many advantages compared to deep nasal swabs. There is really not much to criticize in this work. I offer below some minor comments and suggestions for improvement.

Materials and Methods

1. Line 187: The authors should mention here that orange-colored reactions (which in my experience tend to occur when target NA levels are low, and the reaction is just beginning to turn positive when the assay is stopped) were considered negative. This is mentioned much later on in the Results section (lines 402, 404, and Table 2), but should be mentioned here for clarity as well.

Results

2. Line 261 and 278 (Figure 2 legend): I suggest that the authors change the title of this section – “diagnostic sensitivity” typically refers to the performance of a newly developed assay compared to a previously established “gold standard” assay, so this is what I was expecting this section to describe. Instead, that comes later. Perhaps something like, “Impact of saliva input on RT-LAMP performance” or something similar might be suitable.

3. Lines 322-323: This section describes the determination of the analytical sensitivity (LOD) of the RT-LAMP reaction. The authors should specify how the LOD was defined – this is typically specified as the C95, or the concentration of analyte that results in a positive reaction in 95% of assays (see Burd EM Clin. Microbiol. Rev. 23, 550-576, doi:10.1128/cmr.00074-09 (2010)). Moreover, the authors seem to have determined LOD empirically, but there are more accurate means of calculating the C95 for which the authors already have the data – eg see Klymus, K. E. et al. Environ. DNA 2, 271-282, doi:https://doi.org/10.1002/edn3.29 (2020). Please consider expressing the analytical sensitivity data using one of the mathematical models described therein, or alternatively using probit analysis to provide a more precise estimate of the LOD of the assay.

4. Lines 339-345: It was nice to see the Dsp and Dsn of the RT-LAMP assay compared to the RT-qPCR assay, although the number of samples analyzes was rather small. The results are overall rather similar to the values obtained using LAMPore on much larger sample sizes (Ptasinska, A. et al. Clinical microbiology and infection 27, 1348.e1341-1348.e1347, doi:10.1016/j.cmi.2021.04.008 (2021). This reference should be cited in the Discussion. The results obtained here are comparable and vastly less expensive compared to LAMPore, which is only reasonable to perform on large numbers of samples and is therefore not suitable for point-of-care applications.

5. Lines 396-406 and Table 2: These results could be analyzed using the kappa statistic, which is ideally suited to assessing assay performance with a subjective aspect like color development. Please consider adding a kappa calculation to demonstrate the operator agreement.

Reviewer #2: 

Li et al. developed an extraction-free, direct RT-LAMP protocol and validated for screening of employees. The purpose and flow of the study is well defined and methods were around technical standard. Modifications that clarify some technical details/objective assessments that are important as a scientific paper are needed before consideration for publication.

The study was funded by a company and all authors belonged to that company. The study focused on the company’s product. In this situation, is it good for the authors to simply declare that the funder had no role in conducting the study?

Line 52. What was the limit of detection of the developed workflow? 50 copies/uL of samples is far less sensitive than the commercially available RT-qPCR-based assays (usually they show LODs around 1 copies/ul).

Line 56-58. This conclusive statement is not based on the presented results. How rapidly were these infected cases diagnosed and isolated? At least describe turn-around time and time to isolation. How was the viral loads of these cases and how many cases were asymptomatic? I recommend the authors to make a conclusive statement for the developed assay, not what is speculated and is limited to workplace surveillance.

Line 119. Please elaborate RNA extraction and RT-qPCR. How many samples were provided?

Line 139. What was the volume of sample used for RNA purification?

Line 163. Which realtime PCR system was used for fluorescence detection?

Line 197-203 is duplicate of line 130-142.

Line 279. Which centrifugation conditions were used?

Line 295. Is 50 copies/ul concentration used for reaction=100 copies/reaction? Please clarify for understanding. If so, this is equevalent to 25 copies/ul=25000 copies/mL of inactivated saliva. Even with this high concentration, 1.4% of samples were tested negative, indicating low sensitivity of the assay and this is supported by LOD analysis.

Line 297. The RT-LAMP reaction was performed according to manufacturer’s instruction (line 167), which uses 30 minutes cutoff. Why 26 minutes was used here? Was the cuoff changed to decrease false-positives?

Line 295 and 327. Which positive control (gamma-irradiated or heat-inactivated) was used?

Line 340 and 346. How were these samples obtained?

Line 352. 5 copies per reaction? How was the copy number determined? RT-qPCR usually cannot quantify such a low copy number sample as it is out of range of the standard curve.

Line 501. The unit of viral loads should be mL not ul.

**********

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Reviewer #1: Yes: Tim J. Dumonceaux

Reviewer #2: Yes: Yasufumi Matsumura

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PLoS One. 2022 May 26;17(5):e0268692. doi: 10.1371/journal.pone.0268692.r002

Author response to Decision Letter 0


4 May 2022

May 4, 2022

Dr. Kalendar

Academic Editor PLOS ONE

Manuscript: PONE-D-22-07620

Dear Dr. Kalendar,

Thank you and the two reviewers for your thorough evaluation of our manuscript entitled “Development and Implementation of a Simple and Rapid Extraction-Free Saliva SARS-CoV-2 RT-LAMP Workflow for Workplace Surveillance”. We found the comments and suggestions by the reviewers most helpful and valuable for us to improve the manuscript, and we have done so accordingly. The following is a detailed list of our responses (in blue) to the comments raised and the changes we have implemented in the manuscript.

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

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https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

We have revised the style requirements in the manuscript accordingly.

2. Thank you for stating the following in the Competing Interests section:

"New England Biolabs (www.neb.com) has funded this study. All authors (ZL,JLB, BC, CVC, WEJ, KK, BWL, JB, RAM, CBP, GR, RJR, NAT, YZ and CKSC) are employees of New England Biolabs, manufacturer of LAMP and PCR reagents described in the manuscript."

We note that you received funding from a commercial source: New England Biolabs

Please provide an amended Competing Interests Statement that explicitly states this commercial funder, along with any other relevant declarations relating to employment, consultancy, patents, products in development, marketed products, etc.

Within this Competing Interests Statement, please confirm that this does not alter your adherence to all PLOS ONE policies on sharing data and materials by including the following statement: "This does not alter our adherence to PLOS ONE policies on sharing data and materials.” (as detailed online in our guide for authors http://journals.plos.org/plosone/s/competing-interests). If there are restrictions on sharing of data and/or materials, please state these. Please note that we cannot proceed with consideration of your article until this information has been declared.

Please include your amended Competing Interests Statement within your cover letter. We will change the online submission form on your behalf.

The amended statement to include is the following: New England Biolabs (www.neb.com) has funded this study. ZL, JLB, BC, CVC, WEJ, KK, BWL, JB, RAM, CBP, GR, RJR, NAT, YZ and CKSC are employees and shareholders of New England Biolabs, manufacturer of LAMP reagents described in the manuscript. This does not alter our adherence to PLOS ONE policies on sharing data and/or materials.

3.Thank you for stating the following in the Acknowledgments Section of your manuscript:

"This work was supported by New England Biolabs."

We note that you have provided funding information that is not currently declared in your Funding Statement. However, funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form.

Please remove any funding-related text from the manuscript and let us know how you would like to update your Funding Statement. Currently, your Funding Statement reads as follows:

"New England Biolabs (www.neb.com) has funded this study. ZL, JLB, BC, CVC, WEJ, KK, BWL, JM, RAM, CBP, GR, RJR, NAT, YZ and CKSC are employees of New England Biolabs. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."

Please include your amended statements within your cover letter; we will change the online submission form on your behalf.

We have removed the funding-related text from the acknowledgement section of the manuscript. The amended Funding Statement to include is the following: New England Biolabs (www.neb.com) has funded this study.

4. We note that you have included the phrase “data not shown” in your manuscript. Unfortunately, this does not meet our data sharing requirements. PLOS does not permit references to inaccessible data. We require that authors provide all relevant data within the paper, Supporting Information files, or in an acceptable, public repository. Please add a citation to support this phrase or upload the data that corresponds with these findings to a stable repository (such as Figshare or Dryad) and provide and URLs, DOIs, or accession numbers that may be used to access these data. Or, if the data are not a core part of the research being presented in your study, we ask that you remove the phrase that refers to these data.

We have removed the phrase “data not shown” and either added new data (3 additional supplementary figures, S7 Fig, S8 Fig, and S9 Fig) to the manuscript to support the statement or removed the statement that refers to the data.

5. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

We have added the 3 references suggested by the reviewers, namely references #37, 38 and 61. We have also added 2 references that relate to the use of the kappa analyses, #39 and #40. The reference list has been updated accordingly.

Reviewer:1

In this manuscript, the authors have developed and validated a saliva-based nucleic acid amplification test (RT-LAMP) that offers speed and convenience compared to the typical NAAT that is employed for SARS-CoV2 detection, RT-qPCR. The authors optimized a buffer for virus inactivation and RNA stabilization from saliva, and implemented fluorescence-based and colorimetric detection systems for determining the results of the reaction. Authors determined the major validation parameters for a diagnostic test, including analytical sensitivity (not specificity), and diagnostic sensitivity and specificity compared to the RT-qPCR test. The authors employed the test for the purposes of surveillance at a workplace setting, and screened a large number of samples (>30k) over the course of nearly a year. Authors conclude that the RT-LAMP can offer a rapid, convenient, and relatively inexpensive means to monitor staff for infection in order to mitigate workplace spread of covid. Overall, this is a comprehensive and well-written description of a fast and convenient means to detect SARS-CoV2 in clinical samples that can be challenging (saliva), but offer many advantages compared to deep nasal swabs. There is really not much to criticize in this work. I offer below some minor comments and suggestions for improvement.

Materials and Methods

1. Line 187: The authors should mention here that orange-colored reactions (which in my experience tend to occur when target NA levels are low, and the reaction is just beginning to turn positive when the assay is stopped) were considered negative. This is mentioned much later on in the Results section (lines 402, 404, and Table 2), but should be mentioned here for clarity as well.

As suggested, we have revised the sentence to include “orange”: “whereas a Tt > 26 minutes or N/A, and a post reaction color of pink or sometimes orange, indicated no detection”.

Results

2. Line 261 and 278 (Figure 2 legend): I suggest that the authors change the title of this section – “diagnostic sensitivity” typically refers to the performance of a newly developed assay compared to a previously established “gold standard” assay, so this is what I was expecting this section to describe. Instead, that comes later. Perhaps something like, “Impact of saliva input on RT-LAMP performance” or something similar might be suitable.

As suggested, we have revised the figure and section titles to : Impact of saliva input on RT-LAMP performance.

3. Lines 322-323: This section describes the determination of the analytical sensitivity (LOD) of the RT-LAMP reaction. The authors should specify how the LOD was defined – this is typically specified as the C95, or the concentration of analyte that results in a positive reaction in 95% of assays (see Burd EM Clin. Microbiol. Rev. 23, 550-576, doi:10.1128/cmr.00074-09 (2010)). Moreover, the authors seem to have determined LOD empirically, but there are more accurate means of calculating the C95 for which the authors already have the data – eg see Klymus, K. E. et al. Environ. DNA 2, 271-282, doi:https://doi.org/10.1002/edn3.29 (2020). Please consider expressing the analytical sensitivity data using one of the mathematical models described therein, or alternatively using probit analysis to provide a more precise estimate of the LOD of the assay.

As suggested, we used the method described by Klymus et al. to calculate the C95 of the LOD and included the data in the results. Accordingly, we have added 2 new references to the manuscript.

4. Lines 339-345: It was nice to see the Dsp and Dsn of the RT-LAMP assay compared to the RT-qPCR assay, although the number of samples analyzes was rather small. The results are overall rather similar to the values obtained using LAMPore on much larger sample sizes (Ptasinska, A. et al. Clinical microbiology and infection 27, 1348.e1341-1348.e1347, doi:10.1016/j.cmi.2021.04.008 (2021). This reference should be cited in the Discussion. The results obtained here are comparable and vastly less expensive compared to LAMPore, which is only reasonable to perform on large numbers of samples and is therefore not suitable for point-of-care applications.

We have incorporated the comments into the discussion and added the suggested reference to the manuscript.

5. Lines 396-406 and Table 2: These results could be analyzed using the kappa statistic, which is ideally suited to assessing assay performance with a subjective aspect like color development. Please consider adding a kappa calculation to demonstrate the operator agreement.

As suggested, we have analyzed the data obtained from the color and fluorescence output across all operators to demonstrate the high concordance as this was the focus of the study. We used the kappa statistic to demonstrate the high concordance (kappa value =0.999, 95% CI 0.966-0.999) between the 2 readouts. We have incorporated the results in the main text and added a new supplementary figure S6 Fig. Two references describing the statistical methods have also been added to the reference section.

Reviewer 2:

Li et al. developed an extraction-free, direct RT-LAMP protocol and validated for screening of employees. The purpose and flow of the study is well defined and methods were around technical standard. Modifications that clarify some technical details/objective assessments that are important as a scientific paper are needed before consideration for publication.

The study was funded by a company and all authors belonged to that company. The study focused on the company’s product. In this situation, is it good for the authors to simply declare that the funder had no role in conducting the study?

We have addressed this point and modified the competing interest statement as per journal policies. See above.

Line 52. What was the limit of detection of the developed workflow? 50 copies/uL of samples is far less sensitive than the commercially available RT-qPCR-based assays (usually they show LODs around 1 copies/ul).

As per the recommendation of reviewer #1, we have used a C95 LOD calculation to determine a value of 39 copies/�L of biofluid (saliva). We acknowledge that this value is lower that some results reported using purified RNA from saliva/nasal swabs and RT-qPCR. However, our comparison demonstrates we can detect all positive saliva samples with a RT-qPCR Cq value less than 34, which has been used as a cut-off value by some commercial tests.

Line 56-58. This conclusive statement is not based on the presented results. How rapidly were these infected cases diagnosed and isolated? At least describe turn-around time and time to isolation. How was the viral loads of these cases and how many cases were asymptomatic? I recommend the authors to make a conclusive statement for the developed assay, not what is speculated and is limited to workplace surveillance.

The turnaround time was ~2 hours and employees were isolated immediately if a positive test result was obtained. We believe this practice reduced the probability of viral spread in the workplace. Recording viral loads and onset of symptoms for each employee was beyond the scope of this study. Therefore, we have removed the statement from the abstract.

Line 119. Please elaborate RNA extraction and RT-qPCR. How many samples were provided?

For RNA extraction, the ThermoFisher King Fisher Flex automated RNA extraction system with the MagMax viral pathogen kit, was used according to protocol. This has been incorporated into the manuscript.

For RT-qPCR, the ThermoFisher TaqPath COVID-19 Combo Kit for N, Orf1ab, S genes (A47814), a kit authorized under EUA for SARS-CoV-2 detection, was used. This has been incorporated into the manuscript.

30 positive and 30 negative samples were randomly selected from a total of 90 confirmed (either negative or positive) samples, based on volume available to allow for repeat testing.

Line 139. What was the volume of sample used for RNA purification?

For comparison studies, RNA was purified from 200uL of saliva using the Monarch® Total RNA Miniprep Kit (NEB, Cat# T2010. This information has been incorporated into the manuscript.

Line 163. Which realtime PCR system was used for fluorescence detection?

A Bio-rad CFX96 instrument was used for RT-qPCR fluorescence detection. This information has been incorporated into the manuscript.

Line 197-203 is duplicate of line 130-142.

We have deleted the duplicated text at second mention.

Line 279. Which centrifugation conditions were used?

No centrifugation was involved. Saliva naturally settles into supernatant and sediment. These fractions were used as described.

Line 295. Is 50 copies/ul concentration used for reaction=100 copies/reaction? Please clarify for understanding. If so, this is equevalent to 25 copies/ul=25000 copies/mL of inactivated saliva. Even with this high concentration, 1.4% of samples were tested negative, indicating low sensitivity of the assay and this is supported by LOD analysis.

Saliva samples were spiked with 50 copies/µL of SARS-CoV-2 virus. Each spiked saliva sample was then mixed with an equal volume of 2X lysis buffer (therefore equivalent to 25 copies/µL) to generate a saliva lysate. 2 µL (50 copies) of saliva lysate was added into the LAMP reaction. Accordingly, 98.6% of samples tested positive at 50 copies/µL of original saliva.

We have amended the text in the Materials and Methods to clarify this point: “For each RT-LAMP reaction, 2 µL of treated saliva sample, corresponding to 1 µL of neat saliva, was used in a 20 µL reaction”.

Line 297. The RT-LAMP reaction was performed according to manufacturer’s instruction (line 167), which uses 30 minutes cutoff. Why 26 minutes was used here? Was the cuoff changed to decrease false-positives?

The text has been modified to reflect that a slightly modified protocol was used. This includes using a 20 µL (not 25 µL) reaction volume and total reaction time of 35min (not 30min). When fluorescence is used as a readout, a cut-off Tt value of 26 minutes was used to differentiate positive/negative reactions and eliminate background signals observed in very few saliva samples.

Line 295 and 327. Which positive control (gamma-irradiated or heat-inactivated) was used?

Heat-inactivated virus was used. This information has been included in the text.

Line 340 and 346. How were these samples obtained?

Samples were obtained from consented individuals using the Mirimus SalivaClear Collection Kit (cat# 800100) according to the SalivaDirect FDA EUA ( EUA202097). Samples were de-identified and provided to NEB, under the SUNY Downstate IRB protocol #1603504.

Line 352. 5 copies per reaction? How was the copy number determined? RT-qPCR usually cannot quantify such a low copy number sample as it is out of range of the standard curve.

Twist RNA with copy number provided by the manufacturer was used to generate a standard curve. In RT-qPCR reactions (performed in triplicate) using 5 copies of twist RNA as input, Cq values of 34.6, 34.5, and 34.5 were obtained for the SARS-CoV-2 N1 gene. Therefore, we estimated the Cq value of 35 corresponds to ~5 copies of virus RNA.

Line 501. The unit of viral loads should be mL not ul.

The value is cited in an included reference (Huang et al). The paper cited the viral copy number in µL rather than mL as the amount in biofluid. We added ‘biofluid’ to the text to accurately cite the reference and clarify the context.

We believe these revisions have improved the manuscript immensely and hope that you and the reviewers will consider it suitable for publication of PLOS ONE.

With my best regards,

Clotilde Carlow, Ph.D

Scientific Director

Division of Genome Biology

Attachment

Submitted filename: Response to Reviewers 05_04_22.docx

Decision Letter 1

Ruslan Kalendar

6 May 2022

Development and implementation of a simple and rapid extraction-free saliva SARS-CoV-2 RT-LAMP workflow for workplace surveillance

PONE-D-22-07620R1

Dear Dr. Carlow,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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PLOS ONE

Acceptance letter

Ruslan Kalendar

17 May 2022

PONE-D-22-07620R1

Development and implementation of a simple and rapid extraction-free saliva SARS-CoV-2 RT-LAMP workflow for workplace surveillance

Dear Dr. Carlow:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

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on behalf of

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. Heat treatment on endogenous actin detection in saliva.

    Contrived samples spiked with 2–10,000 viral copies/μL, were processed in triplicate using either 75°C for 15 min, 85°C for 10 min, 95°C for 5 min, or no heat. The scanned image of the post-amplification actin LAMP plate with overlaid Tt values (upper panel) and the plot of actin Tt values (lower panel) are shown.

    (TIF)

    S2 Fig. Suitability of the extraction-free RT-LAMP method for pooled saliva testing.

    Positive saliva was combined with equal volumes of 1 to 15 randomly selected negative saliva samples from different individuals, corresponding to dilution series of 1:2 through 1:16 of the original viral titer, and tested in COVID and actin LAMP reactions. All samples were tested in triplicate. LAMP Tt values are plotted.

    (TIF)

    S3 Fig. Sensitivity and specificity test.

    Previously identified SARS-CoV-2 positive (n = 30) and negative (n = 30) samples were tested blindly in COVID and actin LAMP reactions. The scanned images of the post-amplification COVID and actin LAMP plates are shown with overlaid Tt values. Positive samples were revealed after the experiment and marked with red circles. The missed positive sample was marked with a red square. Negative and positive controls are marked with a blue rectangle. Experiments were performed 3 times with 2 different operators. The result from one experiment is shown.

    (TIF)

    S4 Fig. RT-qPCR standard curve using Twist RNA.

    Different copy numbers of Twist RNA (5, 10, 100, 1000, and 10000) were used to generate a standard curve using the Luna® SARS-CoV-2 RT-qPCR Multiplex Assay Kit. Amplification and standard curves from both N1 and N2 targets are shown.

    (TIF)

    S5 Fig. Laboratory Information Management System: LIMS.

    (A) User Interface: (1) Patient Log In, (2) Sample Submission and (3) Patient Result. (B) Operator Interface: (1) New Run, (2) Results Uploaded, (3) Sample Status, (4) Results Review and (5) Batch History.

    (PDF)

    S6 Fig. Comparison of fluorescent and color readout.

    3,654 samples were evaluated. The testing date (X axis) and the Tt values from COVID and actin LAMP assays are plotted (Y axis). A Tt value of 36 minutes was assigned to reactions with no fluorescent signal detected (N/A). The post-amplification color images were scored. Light blue dots represent samples that generated a concordant result. Discordant samples are shown with orange circles. All control reactions represented by dark blue dots were concordant.

    (TIF)

    S7 Fig. Impact of Triton X-100 addition on SARS-CoV-2 detection.

    Contrived saliva samples spiked with 20 viral copies/μL were mixed with SLB buffer or Cepko buffer with 0.2% Triton X-100. Samples were incubated on ice or at room temperature for 20 minutes before being heated at 95°C for 5min. Covid LAMP reactions were performed with 2μL of lysate. Post amplification image of 12 reactions per condition was shown. Positive reactions showed yellow color and negative reactions showed pink/orange color.

    (TIF)

    S8 Fig. Impact of NaOH addition on saliva actin LAMP.

    Four different saliva samples were tested (triplicate) in actin LAMP reaction with or without 30mM of NaOH. The pre-amplification image and post-amplification image overlaid with Tt value are shown.

    (TIF)

    S9 Fig. Concordance between initial COVID test and repeat testing.

    All samples which generated a COVID Tt value below 26 minutes were repeated in triplicate. The initial COVID Tt value (X axis) and Tt difference between the initial and the average of triplicate repeat tests (Y axis) were plotted. Each dot represents a single sample. Tt value of 36 minutes was assigned to reactions with no fluorescent signal detected (N/A) for calculation purposes.

    (TIF)

    S1 Table. Internal actin control detection of the 16 samples.

    16 saliva samples containing a range of viral load were tested in RT-qPCR (RNaseP) and RT-LAMP (Actin). For RT-LAMP, both saliva lysate and purified RNA were used as input, whereas RT-qPCR was performed using only purified RNA. Cq values for RT-qPCR and Tt for RT-LAMP are shown. No amplification is denoted N/A.

    (DOCX)

    Attachment

    Submitted filename: Response to Reviewers 05_04_22.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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