Literature DB >> 32706827

Detection of SARS-CoV-2 RNA by direct RT-qPCR on nasopharyngeal specimens without extraction of viral RNA.

Mohammad Rubayet Hasan1,2, Faheem Mirza1, Hamad Al-Hail1, Sathyavathi Sundararaju1, Thabisile Xaba1, Muhammad Iqbal1, Hashim Alhussain3, Hadi Mohamad Yassine3, Andres Perez-Lopez1,2, Patrick Tang1,2.   

Abstract

To circumvent the limited availability of RNA extraction reagents, we aimed to develop a protocol for direct RT-qPCR to detect SARS-CoV-2 in nasopharyngeal swabs without RNA extraction. Nasopharyngeal specimens positive for SARS-CoV-2 and other coronaviruses collected in universal viral transport (UVT) medium were pre-processed by several commercial and laboratory-developed methods and tested by RT-qPCR assays without RNA extraction using different RT-qPCR master mixes. The results were compared to that of standard approach that involves RNA extraction. Incubation of specimens at 65°C for 10 minutes along with the use of TaqPath™ 1-Step RT-qPCR Master Mix provides higher analytical sensitivity for detection of SARS-CoV-2 RNA than many other conditions tested. The optimized direct RT-qPCR approach demonstrated a limit of detection of 6.6x103 copy/ml and high reproducibility (co-efficient of variation = 1.2%). In 132 nasopharyngeal specimens submitted for SARS-CoV-2 testing, the sensitivity, specificity and accuracy of our optimized approach were 95%, 99% and 98.5%, respectively, with reference to the standard approach. Also, the RT-qPCR CT values obtained by the two methods were positively correlated (Pearson correlation coefficient r = 0.6971, p = 0.0013). The rate of PCR inhibition by the direct approach was 8% compared to 9% by the standard approach. Our simple approach to detect SARS-CoV-2 RNA by direct RT-qPCR may help laboratories continue testing for the virus despite reagent shortages or expand their testing capacity in resource limited settings.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32706827      PMCID: PMC7380591          DOI: 10.1371/journal.pone.0236564

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

The ongoing pandemic of coronavirus disease (COVID-19) caused by a novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) posed an unprecedented public health threat to the entire world. In the absence of an effective vaccine or specific treatment against the virus, early detection and contact tracing, physical distancing measures and quarantine of cases are considered the cornerstones to curb the community transmission of SARS-CoV-2 [1-3]. Since the virus was identified and its genome sequenced in early January 2020, detection of viral RNA in respiratory specimens by real-time reverse transcription PCR (RT-qPCR) remains the main approach to manage the outbreak by allowing early detection of cases and targeted measures to prevent transmission of the virus [4]. The massive demand for SARS-CoV-2 RT-qPCR has brought about a global shortage and supply chain irregularities of RNA extraction kits that are crucial for RT-qPCR testing [5-7]. Detection of viral pathogens directly from clinical specimens without RNA extraction has been described earlier in cases such as detection of norovirus from fecal specimens [8], human papilloma virus from crude cell extracts [9], and Zika virus from blood or serum samples [10]. In this study, we tested a number of commercial and laboratory-developed, specimen pre-treatment procedures to optimize the performance of direct RT-qPCR for SARS-CoV-2 avoiding the RNA extraction step. This method was validated against a standard approach that included extraction of viral RNA on a commercial automated extraction platform.

Materials and methods

Standard approach for detection of SARS-CoV-2 RNA from nasopharyngeal specimens in our laboratory involves extraction of total nucleic acids from specimens in an IVD-labeled, automated extraction platform followed by RT-qPCR, based on one of the assays (Table 1) suggested by World Health Organization (WHO) [11]. The performance standards of the assay were established in our laboratory according to College of American Pathologists (CAP) standards, and at time of writing this paper, the assay was used to test more than 2000 respiratory specimens to screen patients for potential infection with SARS-CoV-2. Therefore, the assay was used as the reference method for all other alternative approaches assessed in this study. All specimen preparations, pre-treatments and PCR setup were performed in a Class II Biosafety cabinet in a Biosafety level 2 (BSL2) facility.
Table 1

Direct RT-qPCR on SARS-CoV-2 positive and negative NPFS specimens after heating at 65°C for 10 minutes with different RT-qPCR master mixes.

Sample No.SARS-CoV-2 CT
Standard methodQuantifast Pathogen RT-PCR + IC Master MixPrimeDirect Probe RT-qPCR MixTaqPath 1-Step RT-qPCR Master Mix
121.529.424.622.8
234.5UndeterminedUndetermined35.3
324.530.428.725.5
42229.931.425.8
5UndeterminedUndeterminedUndeterminedUndetermined

NPFS specimens were either subjected to viral RNA extraction by standard method using the NucliSENS easyMAG automated extraction system (bioMerieux), or diluted 4-fold with NFW followed by incubation at 65°C for 5 minutes. All samples were tested for SARS-CoV-2 RNA by standard RT-qPCR using different master mixes in duplicate and mean CT values were compared.

NPFS specimens were either subjected to viral RNA extraction by standard method using the NucliSENS easyMAG automated extraction system (bioMerieux), or diluted 4-fold with NFW followed by incubation at 65°C for 5 minutes. All samples were tested for SARS-CoV-2 RNA by standard RT-qPCR using different master mixes in duplicate and mean CT values were compared. Clinical specimens: Nasopharyngeal flocked swab (NPFS) specimens collected in universal viral transport (UVT) medium (Becton, Dickinson and Company) (n = 180) submitted for testing SARS-CoV-2 or other respiratory viruses at Sidra Medicine, Doha, Qatar were used in this study. To maintain patient anonymity, each sample was coded, and all patient identifiers were removed to ensure that personnel involved in this study were unaware of any patient information. Ethics approval was not sought because the study involves laboratory validation of test methods and the secondary use of anonymous pathological specimens that falls under the category ‘exempted’ by Sidra Medicine Institutional Review Board. For spiking experiments, NPFS specimens (n = 6) were collected from laboratory volunteers after obtaining written informed consents. No personal data were collected, and specimens were labeled with random numbers so that test results cannot be linked to an individual. Nucleic acid extraction: Nucleic acids from 0.2 ml of NPFS specimens were extracted on a NucliSENS® easyMAG platform (bioMérieux, France) according to the methods described by the manufacturers. Pre-treatment of specimens: Unless otherwise stated, specimens were diluted using nuclease free water. Heat treatment of specimens at different temperature was performed in a ThermoMixer (Eppendorf). Specimens processed with Arcis Coronavirus RNA extraction research kit (Arcis Biotechnology) were performed according to manufacturer’s instructions. Briefly, 90 μl specimen was mixed with 6 μl Reagent 1 RTU and either left unheated or heat lysed at 60°C for 5 minutes. 40 μl of lysate was then mixed with 2 μl of Reagent 2a and was used directly for Rt-qPCR. For Takara PrimeDirect™ Probe RT-qPCR Mix (Takara Bio), 0.2 ml specimens were heated at 99°C for 10 mins and then centrifuged at 4000rpm for 5 min. The supernatants were collected and 7μl of supernatant was directly used in RT-qPCR reaction mixture. RT-qPCR: Primers and probes for detection of SARS-CoV-2, HCoV-HKU1, RNaseP and MS2 bacteriophage are listed in S1 Table [4,12-14]. For detection of HCoV-HKU1 using Quantifast Pathogen RT-PCR + IC kit (Qiagen), five μl of extracted or pre-treated samples were mixed with 20 μl of a master mix containing 5 μl of Quantifast Pathogen RT-PCR + IC Master Mix, 0.25 μl of Quantifast RT Mix and 0.5 μl of 50 x ROX dye solution and primers and probes to final concentrations shown in S1 Table. Thermal cycling was performed in a ABI7500 Fast instrument (Thermofisher Scientific) with 1 cycle of reverse transcription at 50°C for 20 min followed by 1 cycle of PCR activation at 95°C for 5 min, followed by 40 amplification cycles each consisting of 95°C-15s and 60°C-60s. For detection of HCoV-HKU1 using TaqPath™ 1-Step RT-qPCR kit (Thermofisher Scientific), five μl of extracted or pre-treated samples were mixed with 5 μl of a master mix containing 5 μl of TaqPath™ 1-Step RT-qPCR Master Mix and primers and probes to final concentrations shown in S1 Table. Thermal cycling was performed in a ABI7500 Fast instrument (Thermofisher Scientific) with 1 cycle of reverse transcription at 50°C for 15 min followed by 1 cycle of polymerase activation at 95°C for 2 min, followed by 40 amplification cycles each consisting of 95°C-15s and 60°C-60s. For detection of SARS-CoV-2 with standard method, five μl of nucleic acid extracts from NucliSENS® easyMAG system were mixed with 7.5 μl of a master mix containing 2.5 μl of Quantifast Pathogen RT-PCR + IC Master Mix, 0.125 μl of Quantifast RT Mix and 0.25 μl of 50 X ROX dye solution and primers and probes to final concentrations shown in S1 Table. RNA extraction and PCR inhibition were monitored by an internal control PCR assay or an RNaseP assay, using the primers and probes shown in S1 Table. Specimens were spiked with a tittered preparation of MS2 bacteriophage to serve as a template for internal control assay. For direct PCR on specimens, pre-treated specimens were assessed in the same way except that extracted MS2 bacteriophage RNA was mixed with PCR master mix to serve as an inhibition control. A synthetic RNA (IDT) based on E-Sarbeco assay [4] amplicon sequence was used as a positive control. As negative control, 0.2 ml neonatal calf serum (NCS) (Thermofisher Scientific) was extracted along with specimens and used with each PCR run. SARS-CoV-2 RT-qPCR with Takara PrimeDirect™ Probe RT-qPCR Mix was performed as described by the manufacturer. Briefly, 7 μl of processed samples were mixed with 18 μl of master mix containing 12.5 μl of PrimeDirect Probe RT-qPCR Mix and primers and probes to final concentrations shown in Table 1. Thermal cycling was performed in a ABI7500 Fast instrument (Thermofisher Scientific) with 1 cycle of denaturation at 96°C for 10 sec, 1 cycle of reverse transcription at 60°C for 5 min followed by 45 amplification cycles each consisting of 95°C-5s and 60°C-30s. SARS-CoV-2 RT-qPCR with TaqPath™ 1-Step RT-qPCR kit with the optimized approach (specimens heat treated at 65°C for 10 min) was performed as above except that 8 μl of specimen was used per 20 μl reaction. A total of 132 NPS that were previously tested by the standard approach were also tested by the optimized, direct approach and the results were compared. An additional 30 NPS was tested in the same way except that RNaseP was detected as an internal control or specimen control instead of MS2 bacteriophage. In addition, an external quality assessment (EQA) panel (8 specimens) from Quality Control for Molecular Diagnostics (QCMD) was tested simultaneously with the standard and the direct approach, as well as with a QIAstat-Dx Respiratory 2019-nCoV Panel (Qiagen) and the results were compared with expected results. Limit of detection (LOD) study: A SARS-CoV-2 positive nasopharyngeal specimen (CT = 23.3) was titered by the optimized approach using synthetic RNA, and serially diluted (up to 5x10-7—fold) using a negative specimen. All diluted specimens were pre-treated by heating at 65°C for 10 min and then assessed by SARS-CoV-2 RT-qPCR in replicates of 8. The CT values obtained were used to calculate limit of detection (LOD) and intra-assay reproducibility of direct RT-qPCR. Statistical analysis: Sensitivity, defined as the number of true positive results divided by the sum of true positive and false negative results; specificity, defined as the number of true negative results divided by the sum of true negative and false positive results; and accuracy (concordance), defined as the sum of true positive and true negative results divided by the total number of test samples, were calculated and expressed as percentages. Ninety-five percent confidence intervals (CI) for sensitivity, specificity and accuracy were calculated by the Clopper-Pearson interval or exact method using an online, diagnostic test evaluation calculator (MedCalc, 2018). Correlation between the RT-qPCR CT values between standard approach and optimized direct approach was determined by Pearson’s coefficient calculator. The limit of detection with 95% endpoint (C95) was determined by Probit regression analysis [15].

Results

Using a human coronavirus HKU1 (hCoV-HKU1) positive specimen as a surrogate for SARS-CoV-2, we first assessed whether specimens can be used directly for RT-qPCR after 2–10 fold dilution with nuclease free water (NFW), simple heat treatment (100°C for 5 min) and centrifugation to remove any insoluble material that may be present in the specimen. The pre-treated specimens were then assessed in parallel with extracted specimens by a previously described, laboratory developed RT-qPCR for HCoV-HKU1 (S1 Table). A significant loss of sensitivity was observed with a RT-qPCR ΔCT ranging from 10–14 (S2 Table). To determine whether any components of UVT medium (Becton, Dickinson and Company) were inhibitory to RT-qPCR, we collected nasopharyngeal flocked swabs (NPFS) from laboratory volunteers in NFW along with swabs in UTM. We then spiked a SARS-CoV-2 positive specimen to all specimens and assessed them by SARS-CoV-2 RT-qPCR. However, no significant improvement in sensitivity was observed (S3 Table). Similar results were observed when two commercial test kits were used for direct RT-qPCR: Arcis Coronavirus RNA extraction research kit comes with lysis reagents that can be used directly in RT-qPCR; and Takara PrimeDirect™ Probe RT-qPCR kit provides a master mix that is compatible with heat-treated specimen extracts. However, in our evaluation both test kits failed to demonstrate an acceptable level of sensitivity (S4 and S5 Tables). Our attempts to further optimize the pre-treatment conditions showed modest improvement with a non-ionic detergent, Tween-20, and further improvement with a heating step at 65°C for 10 min without centrifugation (ΔCT = 5.2) (S6 Table). We then tested this low heat approach with more SARS-CoV-2 positive specimens and using 3 different RT-qPCR master mixes. Interestingly, we found that with TaqPath™ 1-Step RT-qPCR Master Mix, 4/4 positive samples were correctly detected with a ΔCT range 0.8–3.8 (Table 1). On the other hand, two other master mixes gave higher ΔCT and 1/4 positive results were missed by both. Based on these results, the optimal pre-treatment and reaction conditions for the direct approach were: i) transfer and dilute (4-fold) 10 μl of NPFS specimen in NFW; ii) incubate at 65°C for 10 min; and iii) test 8 μl of heat lysed specimen in a 20 μl reaction using TaqPath™ 1-Step RT-qPCR Master Mix. The analytical sensitivity of the direct RT-qPCR assay using specimens prepared in this manner was determined by serially diluting a specimen positive for SARS-CoV-2 with a negative specimen as a diluent. The positive specimen was titered based on the CT value obtained by the direct approach using a standard curve prepared with SARS-CoV-2 synthetic RNA. The CT values were linear (R2 = >0.99) over the range of 103 copy/ml to 108 copy/ml, the highest concentration used in this analysis (Fig 1A and 1B). The 95% limit of detection (LOD; C95) of the assay with the direct approach was 6.6X103 copy/ml. The CT variation between RT-qPCR replicates across different concentration of analytes were <1 with an average coefficient of variation (CV%) of 1.2%.
Fig 1

Linearity of SARS-CoV-2 RT-qPCR by direct approach.

A tittered SARS-CoV-2 positive nasopharyngeal specimen was serially diluted using a negative specimen, pre-heated at 65°C for 10 min and assessed by SARS-CoV-2 RT-qPCR as described in the Supplemental methods. A) Amplification curves from SARS-CoV-2 RT-qPCR assay on the serially diluted sample. B) RT-qPCR CT values were plotted against estimated copy number of SARS-CoV-2 RNA in each dilution. Each data point represents an average of data obtained from 8 replicates.

Linearity of SARS-CoV-2 RT-qPCR by direct approach.

A tittered SARS-CoV-2 positive nasopharyngeal specimen was serially diluted using a negative specimen, pre-heated at 65°C for 10 min and assessed by SARS-CoV-2 RT-qPCR as described in the Supplemental methods. A) Amplification curves from SARS-CoV-2 RT-qPCR assay on the serially diluted sample. B) RT-qPCR CT values were plotted against estimated copy number of SARS-CoV-2 RNA in each dilution. Each data point represents an average of data obtained from 8 replicates. A total of 132 NPFS specimens that were previously tested with standard approach including viral RNA extraction were re-tested with the new direct approach. The direct approach detected all except one positive case with CT>38. On the other hand, the direct approach detected (CT>37) SARS-CoV-2 in one specimen that was negative by standard approach. Overall agreement of results between two approaches was >98% (Kappa = 0.939; 95% CI = 0.854 to 1.000). The sensitivity and specificity of the new approach compared to the reference method were 95% and 99%, respectively (Table 2). The RT-qPCR CT values for all specimens that were positive by both methods (n = 18) were positively correlated with a Pearson coefficient (R) of 0.6971 (p<0.01) (Fig 2). The rate of PCR inhibition among the specimens that gave negative RT-qPCR results by the direct approach was 8% compared to 9% by the standard approach. The direct approach accurately detected SARS-CoV-2 RNA in all except one specimen in an external quality assessment (EQA) panel provided by Quality Control for Molecular Diagnostics (QCMD) (S7 Table). The specimen that gave discrepant result was reported as ‘borderline’ by QCMD, and SARS-CoV-2 RNA was also undetectable in this specimen by standard approach and by a commercial test, QIAstat-Dx Respiratory 2019-nCoV Panel (Qiagen).
Table 2

Performance of optimized direct RT-qPCR approach with reference to standard approach for detection of SARS-CoV-2 RNA.

StatisticValue95% CI
Total number of specimens132-
True positive18-
True negative112-
False positive1-
False negative1-
Sensitivity95.0%74% to 99.8%
Specificity99.0%95.2% to 99.9%
Accuracy98.5%94.6% to 99.8%
Fig 2

Correlation of RT = qPCR CT values obtained by direct versus standard approach.

Finally, we also tested our direct RT-qPCR approach using RNaseP as an internal control or a specimen quality control within a duplex RT-qPCR with SARS-CoV-2 and compared the results with that of the standard method involving RNA extraction (S8 Table). In 30 NPFS specimens, RNaseP was detected in all specimens, but with an average loss of CT (ΔCT) by 4.2±1.7 as compared to an average loss of SARS-CoV-2 CT by 2±1.3. Surprisingly, RNaseP was not detected in two samples by the standard method that were positive for RNaseP by the direct method. This could potentially be due to interfering substances concentrated by the extraction process. In this set, one sample that was positive for SARS-CoV-2 by standard method with high CT (36.3) was missed by the direct method.

Discussion

Success in RT-qPCR testing depends on multiple factors. RNA extraction is preferable to the use of direct specimens because the extraction process concentrates and purifies the RNA targets and excludes PCR inhibitory substances. The use of pre-treated or untreated specimens directly in RT-qPCR is challenging because of the presence of inhibitors and RNA loss due to heating and/or RNases. After many attempts with various pre-treatment agents and conditions, we have determined an optimal pre-treatment protocol complemented with specific RT-qPCR reagents, that generates results equivalent to standard methods that involve RNA extraction. Minimizing RNA loss through the low heat approach, appropriate dilution of inhibitory substances and the higher sensitivity of TaqPath™ 1-Step RT-qPCR Master Mix may have played a combinatory role in achieving equivalency of the direct RT-qPCR compared to a standard approach requiring viral RNA extraction. By the direct approach, the greater loss of RNaseP CT compared to SARS-CoV-2 CT may be due to the fact that heating of specimens at 65°C is more efficient for lysing viruses than nasopharyngeal epithelial cells and that a significant fraction of viruses remains extracellularly. Indeed, we have observed that SARS-CoV-2 is distributed approximately 50:50 between the supernatant and pellet after centrifugation of NPFS specimens (data not shown). In summary, our new approach demonstrated high sensitivity and specificity in the detection of SARS-CoV-2 RNA, and the rate of RT-qPCR inhibition was similar to that of a standard approach. By skipping the RNA extraction step, the new approach will also significantly reduce the cost and improve the turn-around time of the assay. Delayed and inadequate laboratory testing can significantly hamper efforts to control the pandemic. Our results will help many labs all over the world who are struggling with a shortage of reagents to continue testing for SARS-CoV-2. Also, because of a significant reduction in cost, the optimized direct approach we described, will be useful to resource-limited countries to expand their capacity for RT-qPCR testing.

Primers and probes used in this study.

(DOCX) Click here for additional data file.

Direct RT-qPCR on a nasopharyngeal specimen positive for human coronavirus HKU1 after heat treatment at 100°C for 5 minutes.

NPFS specimens were either i) subjected to viral RNA extraction by standard method using a NucliSENS easyMAG automated extraction system (Biomerieux), or ii) serially diluted with nuclease free water (NFW) followed by incubation at 100°C for 5 minutes, or iii) freeze thawed once prior to heat treatment. All heat-treated samples were centrifuged at 13,000 rpm for 5 minutes at 4°C and supernatants were collected. All samples were tested for SARS-CoV-2 RNA by standard RT-qPCR in duplicate and mean CT values were compared. (DOCX) Click here for additional data file.

Direct RT-qPCR on simulated, dry NPFS using a spiked specimen positive for SARS-CoV-2.

Specimens were collected from laboratory members who volunteered to provide specimens. NPFS specimens were either i) collected in VTM or ii) collected in sterile empty tubes as dry swabs and later resuspended in 1 ml of NFW. Five μl of a patient specimen positive for SARS-CoV-2 RNA (CT = 22) were spiked into 0.2 ml of specimens collected in VTM of NFW. VTM specimens were extracted by standard method using a NucliSENS easyMag automated extraction system (bioMerieux). Specimens collected in NFW were incubated at 100°C for 5 minutes and centrifuged at 13,000 rpm for 5 minutes at 4°C and supernatants were collected. All samples were tested for SARS-CoV-2 RNA by standard RT-qPCR using Quantifast Pathogen RT-PCR + IC Master Mix in duplicate and mean CT values were compared. (DOCX) Click here for additional data file.

Direct RT-qPCR on SARS-CoV-2 positive and negative NPFS specimens processed using Arcis Pathogen Kit.

NPFS specimens were processed according to manufacturer’s protocol (Arcis Biotechnology Ltd.). All samples were tested for SARS-CoV-2 RNA by standard RT-qPCR in duplicate and mean CT values were compared. (DOCX) Click here for additional data file.

Direct RT-qPCR on SARS-CoV-2 positive and negative NPFS specimens processed using Takara PrimeDirect Probe RT-qPCR mix.

NPFS specimens were processed according to manufacturer’s protocol (PrimeDirect™ Probe RT-qPCR Mix, Takara Bio Inc.). All samples were tested for SARS-CoV-2 RNA by standard RT-qPCR in duplicate and mean CT values were compared. (DOCX) Click here for additional data file.

Direct RT-qPCR on SARS-CoV-2 positive and negative NPFS specimens with or without heating at 65°C for 5 minutes or after lysis using a non-ionic detergent.

NPFS specimens were either i) subjected to viral RNA extraction by standard method using a NucliSENS easyMAG automated extraction system (bioMerieux), or ii) diluted 4-fold with nuclease free water (NFW) iii) diluted 4-fold with nuclease free water (NFW) followed by incubation at 65°C for 5 minutes or iv) diluted 4-fold with Tween-20 to final concentration of 0.2% followed by incubation at room temperature for 10 min. All samples were tested for SARS-CoV-2 RNA by standard RT-qPCR using Quantifast Pathogen RT-PCR + IC Master Mix. (DOCX) Click here for additional data file.

Direct RT-qPCR on QCMD EQA specimens.

QCMD EQA specimens were simultaneously tested by standard and direct approach and by QIAstat-Dx Respiratory 2019-nCoV Panel (Qiagen). (DOCX) Click here for additional data file.

Detection of SARS-CoV-2 with RNaseP as endogenous control by direct RT-qPCR and standard methods in NPFS specimens.

(DOCX) Click here for additional data file. 18 Jun 2020 PONE-D-20-13888 Detection of SARS-CoV-2 RNA by direct RT-qPCR on nasopharyngeal specimens without extraction of viral RNA PLOS ONE Dear Dr. Hasan Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. #1 For accuracy purposes the RTqPCR Assays aimed at detecting SAR COV2 RNA should involve a bona fide internal RNA control and not an external control as described in the ms. Please submit your revised manuscript by Aug 02 2020 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript: A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'. A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'. An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter. If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols We look forward to receiving your revised manuscript. Kind regards, Jean-Luc EPH Darlix, MG, Ph.D. Academic Editor PLOS ONE Journal Requirements: When submitting your revision, we need you to address these additional requirements. 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at 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 2. In the ethics statement in the manuscript and in the online submission form, please provide additional information about the patient records used in your retrospective study, including: a) whether all data were fully anonymized before you accessed them; and b) the source of the patient samples analyzed in this work (e.g. hospital, institution or medical center name). 3. To comply with PLOS ONE submission guidelines, in your Methods section, please provide additional information regarding your statistical analyses. For more information on PLOS ONE's expectations for statistical reporting, please see https://journals.plos.org/plosone/s/submission-guidelines.#loc-statistical-reporting. 4. We suggest you thoroughly copyedit your manuscript for language usage, spelling, and grammar. If you do not know anyone who can help you do this, you may wish to consider employing a professional scientific editing service. Whilst you may use any professional scientific editing service of your choice, PLOS has partnered with both American Journal Experts (AJE) and Editage to provide discounted services to PLOS authors. Both organizations have experience helping authors meet PLOS guidelines and can provide language editing, translation, manuscript formatting, and figure formatting to ensure your manuscript meets our submission guidelines. To take advantage of our partnership with AJE, visit the AJE website (http://learn.aje.com/plos/) for a 15% discount off AJE services. To take advantage of our partnership with Editage, visit the Editage website (www.editage.com) and enter referral code PLOSEDIT for a 15% discount off Editage services.  If the PLOS editorial team finds any language issues in text that either AJE or Editage has edited, the service provider will re-edit the text for free. Upon resubmission, please provide the following: The name of the colleague or the details of the professional service that edited your manuscript A copy of your manuscript showing your changes by either highlighting them or using track changes (uploaded as a *supporting information* file) A clean copy of the edited manuscript (uploaded as the new *manuscript* file) 5. Please note that in order to use the direct billing option the corresponding author must be affiliated with the chosen institute. Please either amend your manuscript or remove this option (via Edit Submission). 6. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: PONE D-20-13888 Detection of SARS-CoV-2 RNA by direct RT-qPCR on nasopharyngeal Specimens without extraction of viral RNA reviewer's remarks The study from Hasan et al describes a technique to facilitate detection of SARS-CoV2 RNA from biological specimens. By exploring different heating procedures and different qPCR mix reagents, the authors propose an optimized protocol that allows a sensitive detection of SARS RNA without the need of viral extraction. The study is well written and statistically convincing. Due to the importance of the pandemy and the extreme need of tests at the time of reviewing, this technical message should be rapidly transmitted to scientists and medical centers worldwide. This information may indeed be useful to accelerate COVID diagnosis, especially in laboratories lacking ressources or reagents. Point 1 However, a point could be adressed to improve the manuscript and increase its relevance in the field. There is no doubt that the protocol described by Hasan et al can indeed be a relevant alternative to RNA-extraction based procedures. Nevertheless, most qPCR tests aiming at detecting COVID infection extract RNA from Nasopharyngeal swabs and next measure the quantity of SARS-Cov2 RNA in the specimen AND the quantity of a cellular RNA that is not linked to infection. Human P RNase transcript is commonly choosen in several commercial kit as a control: this additionnal assay ensures that the amplification process is optimal, and checks that the biological specimens contains indeed a detectable material. The assays presented by Hasan et al included internal control assay based on MS2 bacteriophage (either a bacteriophage preparation or an extracted MS2 bacteriophage RNA preparation) which is useful to validate the amplification reaction. However, this artificial addition provides no information about the quality of the specimen. Should a specimen being identified as COVID-negative by Hasan et al, there is no evidence that this sample contains anything detectable and has been properly collected. To fully complete their study, the authors could show that their heating procedure is also effective to allow detection of the control P-RNase RNA or any human transcript serving as a control to validate the quality of the tested sample. Conceptually it is probable that the heating protocol described in the manuscript may degradate softly the biological samples, which release some cellular and viral RNAs. This action should then render all RNAs accessible to the detection reaction. In that case authors could be able to show it or include this information in the manuscript. However, we can reasonnably speculate that the viral cores present in a given sample would be more fragile than cellular membranes, and that the heating process is mainly efficient to release viral RNAs, and poorly efficient to release cellular ones (controls). This question -if not adressed by experimental data- should at least be discussed. Point2 Beyond SARS-COV2, sample heating is commonly used to release RNAs from samples containing virus (HPV, BMYV, BChV...). Authors could mention some of them in the reference section. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 22 Jun 2020 PLOS ONE submission, PONE-D-20-13888 Point by point responses to reviewer’s comments We would like to thank the editor and reviewer for taking the time to review this work and to provide constructive suggestions to improve the quality of our manuscript. Below, please find point by point responses to the reviewers’ comments: Academic Editor #1 For accuracy purposes the RTqPCR Assays aimed at detecting SAR COV2 RNA should involve a bona fide internal RNA control and not an external control as described in the ms. >>We thank the editor for this comment. We agree with both the editor and the reviewer that some commercial assays used RNaseP as a specimen quality control (as well as RT-qPCR inhibition control) in their multiplex SARS-CoV-2 PCR assays. However, to our knowledge, this is not universally applied as seen in some FDA-approved assays such as Xpert- SARS-CoV-2 tests (Cepheid) or QIAstat-Dx® Respiratory SARS-CoV- 2 Panel (Qiagen), which do not include RNaseP or similar targets as a mrker for specimen quality. Clinical Laboratory Standards Institute (CLSI) and College of American Pathologists (CAP) also do not have any specific requirement for specimen quality control or cell control for respiratory specimens. However, in order to address this issue, we performed additional testing with RNaseP as internal control (as a duplex PCR with SARS-CoV-2) and added new data and discussion on this in the revised manuscript (page 10; lines 216-223 and page 11; lines 237-242). Please also see our response to Reviewer # 1 Reference: 1. CLSI. Molecular Diagnostic Methods for Infectious Diseases. 3rd ed. CLSI report MM03. Wayne, PA: Clinical and Laboratory Standards Institute; 2015. 2. College of American Pathologists, Microbiology checklist: CAP accreditation program; 2020 Reviewer #1 reviewer's remarks The study from Hasan et al describes a technique to facilitate detection of SARS-CoV2 RNA from biological specimens. By exploring different heating procedures and different qPCR mix reagents, the authors propose an optimized protocol that allows a sensitive detection of SARS RNA without the need of viral extraction. The study is well written and statistically convincing. Due to the importance of the pandemy and the extreme need of tests at the time of reviewing, this technical message should be rapidly transmitted to scientists and medical centers worldwide. This information may indeed be useful to accelerate COVID diagnosis, especially in laboratories lacking ressources or reagents. >>We thank the reviewer for these encouraging comments. Point 1 However, a point could be adressed to improve the manuscript and increase its relevance in the field. There is no doubt that the protocol described by Hasan et al can indeed be a relevant alternative to RNA-extraction based procedures. Nevertheless, most qPCR tests aiming at detecting COVID infection extract RNA from Nasopharyngeal swabs and next measure the quantity of SARS-Cov2 RNA in the specimen AND the quantity of a cellular RNA that is not linked to infection. Human P RNase transcript is commonly choosen in several commercial kit as a control: this additionnal assay ensures that the amplification process is optimal, and checks that the biological specimens contains indeed a detectable material. The assays presented by Hasan et al included internal control assay based on MS2 bacteriophage (either a bacteriophage preparation or an extracted MS2 bacteriophage RNA preparation) which is useful to validate the amplification reaction. However, this artificial addition provides no information about the quality of the specimen. Should a specimen being identified as COVID-negative by Hasan et al, there is no evidence that this sample contains anything detectable and has been properly collected. To fully complete their study, the authors could show that their heating procedure is also effective to allow detection of the control P-RNase RNA or any human transcript serving as a control to validate the quality of the tested sample. Conceptually it is probable that the heating protocol described in the manuscript may degradate softly the biological samples, which release some cellular and viral RNAs. This action should then render all RNAs accessible to the detection reaction. In that case authors could be able to show it or include this information in the manuscript. However, we can reasonnably speculate that the viral cores present in a given sample would be more fragile than cellular membranes, and that the heating process is mainly efficient to release viral RNAs, and poorly efficient to release cellular ones (controls). This question -if not adressed by experimental data- should at least be discussed. >>We agree with the reviewer that RNaseP is used as a specimen quality control (as well as RT-qPCR inhibition control) in many commercial multiplex assays for SARS-CoV-2, although it is not universally practiced. As the reviewer suggested, we have performed additional experiments to detect RNaseP (as a duplex PCR with SARS-CoV-2) by the direct method compared to the standard method that involves RNA extraction (Table S8). The results are consistent with reviewer’s prediction. In 30 NPFS specimens, RNaseP was detected in all specimens but with an average loss of CT of 4.2�1.7 as compared to an average loss of SARS-CoV-2 CT of 2�1.3. Interestingly, RNaseP was undetectable in two samples by the standard method, which could potentially be because of interfering substances concentrated by the extraction process. One sample that was positive for SARS-CoV-2 by the standard method with high CT (36.3) was missed by the direct method. We have added these results and discussions in the revised manuscript (page 10; lines 216-223 and page 11; lines 237-242) Point2 Beyond SARS-COV2, sample heating is commonly used to release RNAs from samples containing virus (HPV, BMYV, BChV...). Authors could mention some of them in the reference section. >>We thank the reviewer in pointing out these previous studies. We have now mentioned about some of these relevant studies in the revised manuscript (Page 3; lines 57-61). Submitted filename: Response to Reviewers.docx Click here for additional data file. 10 Jul 2020 Detection of SARS-CoV-2 RNA by direct RT-qPCR on nasopharyngeal specimens without extraction of viral RNA PONE-D-20-13888R1 Dear Dr. Hasan 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. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. 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. Kind regards, Jean-Luc EPH Darlix, MG, Ph.D. Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: 17 Jul 2020 PONE-D-20-13888R1 Detection of SARS-CoV-2 RNA by direct RT-qPCR on nasopharyngeal specimens without extraction of viral RNA Dear Dr. Hasan: 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. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Professor Jean-Luc EPH Darlix Academic Editor PLOS ONE
  13 in total

Review 1.  Validation of laboratory-developed molecular assays for infectious diseases.

Authors:  Eileen M Burd
Journal:  Clin Microbiol Rev       Date:  2010-07       Impact factor: 26.132

2.  Critical Supply Shortages - The Need for Ventilators and Personal Protective Equipment during the Covid-19 Pandemic.

Authors:  Megan L Ranney; Valerie Griffeth; Ashish K Jha
Journal:  N Engl J Med       Date:  2020-03-25       Impact factor: 91.245

3.  Use of bacteriophage MS2 as an internal control in viral reverse transcription-PCR assays.

Authors:  Jens Dreier; Melanie Störmer; Knut Kleesiek
Journal:  J Clin Microbiol       Date:  2005-09       Impact factor: 5.948

4.  HPV Direct Flow CHIP: a new human papillomavirus genotyping method based on direct PCR from crude-cell extracts.

Authors:  Elsa Herraez-Hernandez; Martina Alvarez-Perez; Gloria Navarro-Bustos; Javier Esquivias; Sonia Alonso; Jose Aneiros-Fernandez; Cesar Lacruz-Pelea; Magdalena Sanchez-Aguera; Javier Saenz Santamaria; Jesus Chacon de Antonio; Jose Luis Rodriguez-Peralto
Journal:  J Virol Methods       Date:  2013-05-13       Impact factor: 2.014

5.  Detection of pathogenic Leptospira spp. through TaqMan polymerase chain reaction targeting the LipL32 gene.

Authors:  Robyn A Stoddard; Jay E Gee; Patricia P Wilkins; Karen McCaustland; Alex R Hoffmaster
Journal:  Diagn Microbiol Infect Dis       Date:  2009-04-22       Impact factor: 2.803

6.  Detection of noroviruses in fecal specimens by direct RT-PCR without RNA purification.

Authors:  Naoyuki Nishimura; Hiroyuki Nakayama; Shima Yoshizumi; Masahiro Miyoshi; Hiroshi Tonoike; Yoshinari Shirasaki; Kouichi Kojima; Setsuko Ishida
Journal:  J Virol Methods       Date:  2009-10-28       Impact factor: 2.014

7.  A novel real-time PCR assay panel for detection of common respiratory pathogens in a convenient, strip-tube array format.

Authors:  Mohammad Rubayet Hasan; Hassan Al Mana; Virginia Young; Patrick Tang; Eva Thomas; Rusung Tan; Peter Tilley
Journal:  J Virol Methods       Date:  2018-12-19       Impact factor: 2.014

8.  Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR.

Authors:  Victor M Corman; Olfert Landt; Marco Kaiser; Richard Molenkamp; Adam Meijer; Daniel Kw Chu; Tobias Bleicker; Sebastian Brünink; Julia Schneider; Marie Luisa Schmidt; Daphne Gjc Mulders; Bart L Haagmans; Bas van der Veer; Sharon van den Brink; Lisa Wijsman; Gabriel Goderski; Jean-Louis Romette; Joanna Ellis; Maria Zambon; Malik Peiris; Herman Goossens; Chantal Reusken; Marion Pg Koopmans; Christian Drosten
Journal:  Euro Surveill       Date:  2020-01

Review 9.  Laboratory testing of SARS-CoV, MERS-CoV, and SARS-CoV-2 (2019-nCoV): Current status, challenges, and countermeasures.

Authors:  Ying Yan; Le Chang; Lunan Wang
Journal:  Rev Med Virol       Date:  2020-04-17       Impact factor: 6.989

10.  A hundred days into the coronavirus disease (COVID-19) pandemic.

Authors:  Ines Steffens
Journal:  Euro Surveill       Date:  2020-04
View more
  26 in total

1.  SARS-CoV-2 saliva testing using RT-PCR: a systematic review.

Authors:  Eyituoyo Okoturo; Mary Amure
Journal:  Int J Infect Dis       Date:  2022-05-13       Impact factor: 12.074

Review 2.  Strategies That Facilitate Extraction-Free SARS-CoV-2 Nucleic Acid Amplification Tests.

Authors:  David J Delgado-Diaz; Dhanasekaran Sakthivel; Hanh H T Nguyen; Khashayar Farrokzhad; William Hopper; Charles A Narh; Jack S Richards
Journal:  Viruses       Date:  2022-06-15       Impact factor: 5.818

3.  rAAV Production and Titration at the Microscale for High-Throughput Screening.

Authors:  David Nathan Quan; Joseph Shiloach
Journal:  Hum Gene Ther       Date:  2021-09-07       Impact factor: 5.695

Review 4.  Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection.

Authors:  Seyed Hamid Safiabadi Tali; Jason J LeBlanc; Zubi Sadiq; Oyejide Damilola Oyewunmi; Carolina Camargo; Bahareh Nikpour; Narges Armanfard; Selena M Sagan; Sana Jahanshahi-Anbuhi
Journal:  Clin Microbiol Rev       Date:  2021-05-12       Impact factor: 26.132

5.  Extraction-Free Methods for the Detection of SARS-CoV-2 by Reverse Transcription-PCR: a Comparison with the Cepheid Xpert Xpress SARS-CoV-2 Assay across Two Medical Centers.

Authors:  Nicole D Pecora; Matthew A Pettengill; Andrew Cameron
Journal:  J Clin Microbiol       Date:  2021-01-21       Impact factor: 5.948

6.  Simple, Inexpensive RNA Isolation and One-Step RT-qPCR Methods for SARS-CoV-2 Detection and General Use.

Authors:  Thomas G W Graham; Claire Dugast-Darzacq; Gina M Dailey; Xavier Darzacq; Robert Tjian
Journal:  Curr Protoc       Date:  2021-04

7.  Automated multiplex nucleic acid tests for rapid detection of SARS-CoV-2, influenza A and B infection with direct reverse-transcription quantitative PCR (dirRT-qPCR) assay in a centrifugal microfluidic platform.

Authors:  Minghui Ji; Yun Xia; Jacky Fong-Chuen Loo; Lang Li; Ho-Pui Ho; Jianan He; Dayong Gu
Journal:  RSC Adv       Date:  2020-09-15       Impact factor: 4.036

Review 8.  Laboratory diagnosis of severe acute respiratory syndrome coronavirus 2.

Authors:  T Gulholm; K Basile; J Kok; S C-A Chen; W Rawlinson
Journal:  Pathology       Date:  2020-10-08       Impact factor: 5.306

9.  Analytical and clinical evaluation of a heat shock SARS-CoV-2 detection method without RNA extraction for N and E genes RT-qPCR.

Authors:  Alfredo Bruno; Domenica de Mora; Byron Freire-Paspuel; Angel S Rodriguez; Maria Belen Paredes-Espinosa; Maritza Olmedo; Martha Sanchez; Jennifer Romero; Michelle Paez; Manuel Gonzalez; Alberto Orlando; Miguel Angel Garcia-Bereguiain
Journal:  Int J Infect Dis       Date:  2021-06-21       Impact factor: 3.623

10.  Direct RT-qPCR detection of SARS-CoV-2 RNA from patient nasopharyngeal swabs without an RNA extraction step.

Authors:  Emily A Bruce; Meei-Li Huang; Garrett A Perchetti; Scott Tighe; Pheobe Laaguiby; Jessica J Hoffman; Diana L Gerrard; Arun K Nalla; Yulun Wei; Alexander L Greninger; Sean A Diehl; David J Shirley; Debra G B Leonard; Christopher D Huston; Beth D Kirkpatrick; Julie A Dragon; Jessica W Crothers; Keith R Jerome; Jason W Botten
Journal:  PLoS Biol       Date:  2020-10-02       Impact factor: 8.029

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.