key: cord-1044682-9b6up78a
authors: Xing, Wanli; Liu, Yingying; Wang, Huili; Li, Shanglin; Lin, Yongping; Chen, Lei; Zhao, Yan; Chao, Shuang; Huang, Xiaolan; Ge, Shaolin; Deng, Tao; Zhao, Tian; Li, Baolian; Wang, Hanbo; Wang, Lei; Song, Yunpeng; Jin, Ronghua; He, Jianxing; Zhao, Xiuying; Liu, Peng; Li, Weimin; Cheng, Jing
title: A High-Throughput, Multi-Index Isothermal Amplification Platform for Rapid Detection of 19 Types of Common Respiratory Viruses Including SARS-CoV-2
date: 2020-09-05
journal: Engineering (Beijing)
DOI: 10.1016/j.eng.2020.07.015
sha: da65cf0bab02c00059a4ed30e102f5a0884bd8a5
doc_id: 1044682
cord_uid: 9b6up78a

Fast and accurate diagnosis and the immediate isolation of patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are regarded as the most effective measures to restrain the coronavirus disease 2019 (COVID-19) pandemic. Here, we present a high-throughput, multi-index nucleic acid isothermal amplification analyzer (RTisochip™-W) employing a centrifugal microfluidic chip to detect 19 common respiratory viruses, including SARS-CoV-2, from 16 samples in a single run within 90 min. The limits of detection of all the viruses analyzed by the RTisochip™-W system were equal to or less than 50 copies·μL(−1), which is comparable to those of conventional reverse transcription polymerase chain reaction. We also demonstrate that the RTisochip™-W system possesses the advantages of good repeatability, strong robustness, and high specificity. Finally, we analyzed 201 cases of preclinical samples, 14 cases of COVID-19-positive samples, 25 cases of clinically diagnosed samples, and 614 cases of clinical samples from patients or suspected patients with respiratory tract infections using the RTisochip™-W system. The test results matched the referenced results well and reflected the epidemic characteristics of the respiratory infectious diseases. The coincidence rate of the RTisochip™-W with the referenced kits was 98.15% for the detection of SARS-CoV-2. Based on these extensive trials, we believe that the RTisochip™-W system provides a powerful platform for fighting the COVID-19 pandemic.

The coronavirus disease 2019 (COVID- 19) pandemic, which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is quickly spreading throughout the world [1] . As of 26 June 2020, despite the rigid restrictions adopted by many countries worldwide, over 9.47 million total confirmed cases of COVID-19 have been reported in 188 countries and territories, resulting in approximately 0.48 million deaths. Since there are no effective drugs or vaccines for COVID-19 as yet, the rapid diagnosis and isolation of patients infected with SARS-CoV-2 have been regarded as the most effective way to restrain the ongoing pandemic. Unfortunately, COVID-19 shares many common symptoms with the flu and cold, such as fever, dry cough, and myalgia or fatigue [2] . As a result, reliable diagnostic tools for differentiating the novel coronavirus from other common respiratory viruses are greatly desired in the fight against COVID-19. So far, a variety of nucleic acid testing kits based on reverse transcription polymerase chain reaction (RT-PCR) have been developed and are playing a central role in clinically diagnosing COVID-19 [3, 4] . However, these RT-PCR kits are usually time-consuming, can only detect SARS-CoV-2, and occasionally produce false-negative results due to either sampling or sensitivity issues. In clinical practice, SARS-CoV-2-negative patients tested by RT-PCR with persistent COVID-19-like symptoms can still consume a great deal of precious medical resources and have a high risk of cross-infection if treated inappropriately. Therefore, it is extremely urgent to develop a diagnostic tool that can not only rapidly detect SARS-CoV-2, but also accurately identify other common respiratory viruses, such as influenza viruses, human parainfluenza virus (HPIV), and so forth [5] [6] [7] , so that the exact cause of the symptoms can be known when the SARS-CoV-2 test is negative.

Multiplex RT-PCR is capable of detecting several types of viruses by mixing all the primers in a single tube. However, due to the inevitable interferences of these mixed primers and the limited number of available fluorophores for detection, the development of a robust multiplex system is extremely difficult and the number of detected targets is generally limited to less than ten per reaction [8] . One of the most promising methods for breaking this limitation is to transform a multiplex polymerase chain reaction (PCR) into a multiple single-plex PCR by physically isolating different primer pairs into designated compartments. In the past decades, microfluidic technology has become one of the most common methods to realize the sample partitioning strategy without introducing additional manual operations. Among various microfluidic technologies, such as hydrophilic-hydrophobic patterning [9, 10] , the SlipChip [11] [12] [13] [14] , and electrowetting-on-dielectric (EWOD) technology [15, 16] , the centrifugal-based method offers the advantages of simple operations, fully enclosed microstructures, and easy integration with other microfluidic functions [17, 18] . Our group previously developed a disc-shaped centrifugal microdevice operated in a compact instrument with a single channel (only one sample tested per run) and proved the excellent multiplexing capability of this system by demonstrating the detection of 13 respiratory pathogenic bacteria using loop-mediated isothermal amplification (LAMP) on a single chip [19] . However, when viruses are detected, neither RT-PCR nor LAMP are amenable for use with a microchip due to thermal cycling and primer design problems, respectively. Several other microfluidic systems, including FilmArray Ò and Verigene Ò , have also been invented for multiplex pathogen detection and have the advantages of integration with sample preparations [20] [21] [22] . Unfortunately, no microfluidic systems have been reported as yet for distinguishing SARS-CoV-2 from other respiratory viruses.

Nucleic acid sequence-based amplification (NASBA) is an enzyme-based isothermal amplification method that employs a mixture of reverse transcriptase, ribonuclease (RNase) H, T7 ribonucleic acid (RNA) polymerase, two specially designed primers, and a specially designed probe [23, 24] . In the initialreaction phase of NASBA, primer 1 anneals to the single-stranded RNA, synthesizes the complementary deoxyribonucleic acid (cDNA), and forms an RNA:DNA hybrid. Subsequently, RNase H hydrolyzes the RNA chain and generates single-stranded DNA. After annealing with primer 2, reverse transcriptase synthesizes double-stranded DNA with a promoter region that can be recognized by T7 RNA polymerase [23, 24] . Once the double-stranded DNA with a promoter region is generated, the reaction enters into continuous cycles of transcription, reverse transcription, and hydrolysis of the RNA in the RNA:DNA hybrid [23] [24] [25] . Since 10-1000 copies of RNA can be generated in each step of transcription, the NASBA process requires fewer cycles than PCR or LAMP, which reduces the total incubation time and overall error frequency [23, 26] . As an isothermal amplification method, NASBA is robust, specific, and particularly suitable for the detection of singlestranded RNA, although it is not fit for double-stranded DNA [23, 27] .

In the current study, we demonstrate the development of a high-throughput, multi-index nucleic acid isothermal amplification analyzer (RTisochip TM -W) based on our disc-shaped centrifugal microfluidic technology with two major improvements. First, we chose NASBA, which is an efficient and sensitive isothermal RNA amplification technique [23, 26, 28, 29] , to replace the incompatible PCR and LAMP for detecting viruses in the centrifugal microchip. Second, we designed an array of 16 single-channel sub-modules, which were updated from the previous single-channel instrument, to increase the throughput of the system. As a result, this brandnew RTisochip TM -W system is capable of detecting 19 common respiratory viruses, including SARS-CoV-2, from 16 clinical samples in a single run within 90 min. The excellent performance of our system, which is proved by the thorough characterization in the current study, prompts us to envision this RTisochip TM -W system as playing a critical role in fighting the COVID-19 pandemic.

Plasmids containing the targeted virus sequences were synthesized by Sangon Biotech (Shanghai) Co., Ltd. RNA templates were prepared by in vitro transcription using a HiScribe TM T7 High-Yield RNA Synthesis Kit (New England BioLabs, USA) according to the manufacturer's instructions. All the inactivated virus culture stocks were given as a gift by Dr. Nan-Shan Zhong from the First Affiliated Hospital of Guangzhou Medical University. Clinical samples were collected with the patients' informed consent from the Beijing Tsinghua Changgung Hospital, the Capital Institute of Pediatrics, the First Affiliated Hospital of Guangzhou Medical University, the West China Hospital of Sichuan University, and the Beijing Youan Hospital of Capital Medical University during the period of 2018-2020.

Throat swab samples were collected with a DNA flocked swab (93050, Miraclean Technology Co., Ltd., China) by rotating the swab tip in the throat to collect the cellular material; the swab was then placed into virus transport medium (MT0301, Youkang Hengye Biotechnology (Beijing) Co., Ltd., China). After the swab tip was immersed in the virus transport medium for a few seconds, the end of the swab tip was broken and the sample was maintained at À70°C for long-term storage.

The total RNA from the clinical samples was extracted using TRIzol TM Reagent (Invitrogen, USA) or a QIAamp Ò Viral RNA Mini Kit (Qiagen, Germany) following the manufacturers' instructions.

Automated RNA extraction was performed with the KingFisher TM Flex Purification System (Thermo Fisher Scientific, USA) according to the user's operation manual. The extracted RNA was dissolved in RNase-free water and quantified using a Nanodrop 2000 or Qubit 3.0 (all from Thermo Fisher Scientific, USA). The integrity of the RNA was examined using 1% formaldehyde denaturing gel electrophoresis.

The common respiratory viruses that can be detected by our system include SARS-CoV-2 (S and N genes), influenza A (H1N1, H1N1 2009, H3N2, H7N9), influenza B, respiratory syncytial virus (RSV), human metapneumovirus (HMPV), HPIV1, HPIV2, HPIV3, HPIV4, human rhinovirus (HRV), enterovirus 71 (EV71), coxsackievirus A16 (CA16), coxsackievirus A6 (CA6), human coronavirus (HCoV)-229E/NL63, and HCoV-OC43/HKU1. NASBA, an isothermal amplification technology, was employed for the on-chip detection of viral RNAs. The NASBA primers and probes were designed using the Primer Premier v.5.0 software (Premier Biosoft, USA) and synthesized by Sangon Biotech (shanghai) Co., Ltd., China. The sequences of primers and probes are listed in Table S1 of Appendix A. We also performed coverage analysis of the primers and probes of each pathogen; the results are listed in Supplementary data 2 of Appendix A. We downloaded ten recently published complete whole genome sequences of each pathogen to perform the coverage analysis. On the whole, the primers and probes designed in our system have very good coverage. For example, for H1N1 2019, the primers and probes totally matched with ten recently published complete whole genome sequences, indicating that the region we chose for primer and probe design is very conservative.

In the on-chip NASBA assay, a total of 1 lL of the home-made spotting solution containing each set of primers and probes was pipetted into each corresponding reaction chamber and dried completely at room temperature. During the analysis, a total of 55 lL of the total NASBA mixture containing 16.5 lL of the buffer solution, 13 lL of nucleoside triphosphate (NTP) solution, 5.5 lL of the enzyme mix (all from CapitalBio Technology, China), and 20 lL of RNA template were mixed in a tube and then injected into the chip with a pipette.

The microfluidic chip for the detection of 19 types of respiratory viruses has been reported previously by our group [30, 31] . In brief, as illustrated in Fig. 1(a) , the disc-shaped microfluidic chip has a diameter of 62 mm and a thickness of 0.6 mm; it is comprised of a structural layer and a thin cover layer connected by doublesided adhesive tape. The structural layer contains 24 reaction chambers (each 3 mm in diameter and 0.2 mm in depth) with a volume of 1.45 lL each, 24 buffer cells, a sine-shaped main channel (0.2 mm in width and 0.1 mm in depth), an inlet, and an outlet. Each reaction chamber is connected to the main channel via a buffer cell and a short pipe. The structural layer was fabricated of polycarbonate materials by precision injection molding, resulting in a smooth surface with a roughness of less than 10 lm. As shown in Fig. 1(b) , each set of the NASBA primers and probes was pipetted into the designated reaction chamber and dried at room temperature. In addition, human genome DNA with a pair of primers targeting glyceraldehyde-3-phosphate dehydrogenase (GAPDH) gene was used as an internal positive control (IC). Plasmids of Saccharomyces cerevisiae together with the corresponding primers and probes were used as a positive control (PC) and sterilized nuclease-free water was employed as a negative control (NC). After the pre-fixing of primers, the structural layer and the cover layer were sealed together by the double-sided adhesive tape and pressed with a press machine. Each chip was individually vacuum-packed and stored at -20°C before use.

The mechanism of NASBA is shown in Fig. 1 (c) and the entire analytical process of the RTisochip TM -W system is shown in Fig. 1(d) . In brief, after the collection of a pharyngeal swab specimen, RNA was extracted from the clinical sample using a commercially available nucleic acid extraction kit and mixed with the reaction mixture of NASBA without primers and probes. Then, a total of 55 lL of the mixture was pipetted into the microchip through the inlet hole to fill the main channel. After that, the inlet and the outlet were sealed with two pieces of tape. Once the chip was loaded into the tray of the instrument and the start button in the control program was clicked, the rest of the procedure was carried out automatically by the system. The chip was first spun for two periods of time at a speed of 6000 revolutions per minute (rpm): first for 10 s, and then again for 30 s, after an interval of 120 s, leading to the loading of the reagents from the main channel into the 24 reaction chambers. The microfluidic chip was next incubated at 41°C for 35 min. During this period, the fluorescence signals generated by the amplified products were detected and displayed on the computer screen in real time.

The RTisochip TM -W consists of four identical sub-modules, each of which can control and detect a microfluidic chip. Four analyzers can be piled up to form a 16-channel system that is controlled by a single computer ( Fig. 2(a) ). As shown in Figs. 2(b) and (c), the submodule is mainly composed of a motor, a control panel, a power module, a temperature-control module, a detection module, and a communication module. The control panel controls the rotation of the motor, the entry/exit of the microfluidic chip, and all the other modules. The proportional-integral-derivative (PID) temperature controller provides the temperature required for nucleic acid amplification. The optical detection system monitors the fluorescence signals in the reaction chambers in real time. Fluorescence data are sent simultaneously to the computer, which is connected with a router through the communication module.

The extraction of RNA from the clinical samples, as the first step of the analysis, plays a critical role in the entire analytical process.

To select a suitable RNA extraction method, we compared the extraction efficiencies of the TRIzol TM universal total RNA extraction kit and the QIAamp Ò viral RNA mini kit for the extraction of viral RNA from pharyngeal swabs. The time to a positive value (Tp), defined as the time at the second derivative inflections of the exponential amplification curves, was employed as the critical factor to evaluate the extraction efficiencies, as Tp is negatively related to the template concentration in general. As shown in Fig. 3(a) , we found that the Tp values provided by the TRIzol TM universal kit were always slightly shorter than those provided by the QIAamp Ò kit. Therefore, we chose the TRIzol TM kit as the recommended manual method for our system. Next, to further reduce the strength of manual operation, we employed the KingFisher TM Flex Purification System to automate the RNA extraction procedure. Figs. 3(b) and (c) demonstrate that this automatic system generally provided a higher extraction efficiency and better reproducibility than the manual TRIzol TM method in the detection of two viral targets, HCoV-229E/NL63 and H1N1 2009, in a wide range of virus concentrations represented by median tissue culture infectious dose (TCID 50 ). However, due to the higher costs of the automated system, we chose both the TRIzol TM universal kit and the KingFisher TM system for the subsequent tests.

To evaluate the sensitivity of the platform, the synthesized RNA templates of these 19 respiratory viruses were diluted to form a concentration gradient from 250, 50, 25, to 10 copiesÁlL À1 . Among them, SARS-CoV-2 N and SARS-CoV-2 S were diluted together. The limits of detection (LODs) of all the viruses are listed in Fig. 4(a) . We determined that the LODs of H7N9, CA16, RSV, HPIV1, HPIV2, HPIV3, HPIV4, HCoV-229E/NL63, and HMPV were 50 copiesÁlL À1 ; that those of H1N1, H3N2, influenza B, EV71, HCoV-OC43/HKU1, CA6, HRV, and SARS-CoV-2 N gene were 25 copiesÁlL À1 ; and that those of H1N1 2009 and SARS-CoV-2 S gene could even reach 10 copiesÁlL À1 . All these results are comparable to those of the conventional RT-PCR method. Typical amplification curves of H1N1 2009 and SARS-CoV-2 S at different RNA concentrations as well as the NCs are shown in Figs. 4(b) and (c). Good linear correlations were observed between the Tp values and the RNA concentrations in H1N1 2009 and SARS-CoV-2 S gene.

We chose H1N1 2009 and SARS-CoV-2 as the detection targets for the evaluation of the system repeatability. First, three batches of the microfluidic chips (ten replicates in each batch) were tested with the inactivated virus stocks of H1N1 2009 and SARS-CoV-2 S gene at a concentration of 500 copiesÁlL À1 . After the RNA extraction, the prepared samples were loaded into the RTisochip TM -W system for testing. As shown in Fig. 4(d) , no significant differences were observed in terms of the Tp values of these two targets within each batch and among three batches, indicating the excellent repeatability of our RTisochip TM -W system. After the evaluation with mock samples, we further selected SARS-CoV-2 S and N genes as targets to test the repeatability with RNA extracted from clinical samples. Fig. 4 (e) shows that the coefficients of variation (CVs) of the S and N genes with ten repeats were 16.96% and 15.91%, respectively. These results clearly demonstrate that our microfluidic platform can provide acceptable sensitivities with high repeatability for multi-index virus detection.

Robustness is a crucial feature of a medical diagnostic platform, especially for the diagnosis of infectious diseases, because clinical samples may come in various forms and contain diverse amplification inhibitors that cannot be eliminated by the extraction process. In our study, the pharyngeal swabs or other types of specimens could have had multiple interferents, including microorganisms, blood, and residual antibacterial and antiviral drugs that the patients took prior to sampling. Thus, we thoroughly evaluated the anti-interference capability of our platform using samples with artificially added interferents. First, as shown in Fig. 5(a) , we found that that the addition of mucin at a final concentration of 10 mgÁL À1 into a 1 Â 10 4 copiesÁmL À1 virus mixture of H1N1 2009, H3N2, influenza B, RSV, HPIV3, and SARS-CoV-2 N had no negative impacts on the amplification of these five targets, as the Tp values were not changed significantly. Next, we prepared a mixture of interfering substances, including oxymetazoline hydrochloride, dexamethasone, interferon, lamivudine, amantadine, menthol, sodium chloride, and mucoprotein (listed in Fig. 5(b) ), in order to more critically evaluate the anti-interference performance of the platform. As shown in Fig. 5(c) , the Tp values of H1N1 2009, H3N2, influenza B, RSV, HPIV3, and SARS-CoV-2 N gene showed no significant changes after these mixed interferents were added. Nevertheless, these tests proved that the interferents presented in the samples had no significant negative effects on our RTisochip TM -W platform.

Since our platform can detect 19 different types of viruses simultaneously, the cross-reactions among these targets need to be thoroughly investigated, as a cross-reaction may induce falsepositive results in the tests. Here, we prepared 19 samples, each of which contained a single type of virus template (P1-P19), and six NCs (N1-N6) to test our system. As shown in the heatmap of Fig. 5(d) , we found that there was no non-specific amplification caused by the cross-reactions in all of the 25 samples, indicating the reliability of the RTisochip TM -W system. Next, we noticed that the competitive effect within these 19 different targets is another potential risk for the platform. When multiple targets are present in a single sample, our system might be less sensitive than a system that is detecting only one target at a time, due to interference from the non-targeted RNA background. To evaluate this competitive effect, we prepared single-or mixed-RNA samples that were diluted to final concentrations of 5000 and 500 copiesÁlL À1 . As shown in Fig. 5(e) , the Tp values of H1N1 2009, H3N2, RSV, HPIV3, SARS-CoV-2 S, and SARS-CoV-2 N detected individually were not significantly different from those obtained from the mixed RNA samples at the concentrations of 5000 and 500 copiesÁlL À1 . Although we did observe that influenza B was not detectable in the mixed samples at the lower concentration due to the non-targeted RNA background, the primer concentrations and primer sequences of influenza B can be further optimized to resolve this problem. Overall, the above results proved that the RTisochip TM -W system possesses good specificity, strong robustness, and a powerful testing capacity for detecting 19 respiratory viruses from 16 clinical samples at the same time. Tables  S2 and S3 of Appendix A. From these 201 clinical samples, we found that the positive rates of these respiratory viruses showed large variations over the sampling time. As shown in Fig. 6(a) , almost 71.3% of the flu-season samples were found to be infected with influenza viruses, in comparison with only 2.9% of the nonflu-season samples from Capital Institute of Pediatrics. Furthermore, the positive ratios of RSV, HPIV1, HPIV2, HMPV, HCoV-229E/NL63, and HCoV-OC43/HKU1 were on the rise in the flu season. Conversely, the positive ratios of HRV, HPIV3, and HPIV4 were lower in the flu-season samples than in the non-flu-season samples. The significant changes in the positive rates of respiratory viruses over time underlined the importance of the multi-index detection of respiratory viruses in clinics.

After the outbreak of SARS-CoV-2, we added SARS-CoV-2 S and N genes to the system and evaluated the system performance using clinical SARS-CoV-2 samples. First, 14 clinically confirmed positive and three negative samples were tested by the RTisochip TM -W system and the commercial RT-PCR kit (BGI, China) in parallel. As summarized in Fig. 6 (b) and Table S4 of Appendix A, both methods showed a 100% consistency, indicating that the detection performance of our platform was the same as that of conventional RT-PCR. To further verify the stability and repeatability of our platform for testing clinical samples, we prepared a total of 25 microfluidic chips manufactured in three different batches to test 25 clinically confirmed samples. As illustrated in the heat map in Fig. 6(c) , the results reported by our RTisochip TM -W system were all consistent with the clinical records, and no false-positive or false-negative results were obtained. After these small-scale evaluations, we collected a total of 614 clinical swab samples from suspected or con- , HPIV, RSV, and influenza B were 98.15%, 98.70%, 99.35%, 99.57%, 97.61%, and 99.35%, respectively. In these clinical samples, some suspected COVID-19 patients were eventually diagnosed as influenza A, influenza B, or RSV instead of SARS-CoV-2. For example, case No. 1 from the West China Hospital of Sichuan University was diagnosed as influenza A, highlighting the value of our platform for precisely identifying the exact cause of diseases. In some clinically confirmed COVID-19 cases, neither our platform nor conventional RT-PCR methods could detect SARS-CoV-2, probably due to the low viral loads of the samples. Such a large scale of clinical tests clearly proved that our platform is a powerful and reliable diagnostic tool in the detection of respiratory viruses in clinical settings.

Since there is no effective drug for COVID-19 at present, the only feasible way to fight against COVID-19 is to diagnose, classify, and isolate patients as early as possible. Unfortunately, due to the similar symptoms of all respiratory infection diseases, it is not uncommon to find that a SARS-CoV-2-negative patient with the symptoms of cough and fever has been admitted to an intensive care unit (ICU) room with other COVID-19 patients and has been treated as having COVID-19 in a medical resource-constrained situation. From this perspective, the development of a nucleic acid testing tool for distinguishing COVID-19 from cases of pneumonia caused by other viruses-such as influenza viruses, parainfluenza virus, adenovirus, RSV, rhinovirus, and HMPV-is extremely valuable. The RTisochip TM -W system is capable of identifying 19 common respiratory viruses in a single test and possesses the advantages of a short turnaround time of less than 90 min, a flexible throughput from one to 16 samples, minimum manual operations for multi-index detections, a sensitivity that is comparable to that of conventional RT-PCR, and a high tolerance for various interferents. Therefore, the RTisochip TM -W system should be able to play a significant role in fighting the COVID-19 pandemic.

Application of the RTisochip TM -W system in clinical practice should be elaborately planned within the context of the pandemic. Here, we present a guideline of testing for COVID-19 by comprehensively considering the pros and cons of all the molecular diagnosis methods. As shown in Fig. 7 , first, when patients with COVID-19-like symptoms arrive at the fever outpatient department, a conventional RT-PCR test can be administrated to rapidly identify whether the patients (and their close contacts) have been infected with SARS-CoV-2. Due to its relatively low cost and high throughput, assisted by robotics, RT-PCR is suitable for screening a large number of samples in a pandemic situation. If a patient is diagnosed as COVID-19, he or she could be moved to a designated COVID-19 hospital. During treatment, the viral loads of the patients can be closely monitored using digital PCR (dPCR), which can provide an absolute virus quantitation. Recent studies have shown that the viral load within the patient's body reflects the treatment outcomes [32] [33] [34] . If the patient's status deteriorates, the RTisochip TM -W system can be utilized to identify the presence of any hospital-acquired infections (HAIs) caused by respiratory viruses and bacteria. This testing strategy should be able to improve the survival rate of COVID-19 patients. Second, if patients at the fever outpatient department test as negative in the SARS-CoV-2 tests, our RTisochip TM -W could soon identify whether the symptoms are caused by other known viruses and bacteria in the pathogen list of the system. Once diagnosed, the patients could be moved to the pneumology department of the hospital and be closely monitored by the RTisochip TM -W. Third, if the patients at the fever outpatient department still test as negative, nextgeneration DNA/RNA sequencing could be used to identify any unknown or uncommon pathogens. Then, the patients could be treated properly in the pneumology department and be monitored by our RTisochip TM -W for any sign of HAI. Finally, the recovered patients should accept another round of RT-PCR tests before being discharged. Meanwhile, considering the possible false-negative results of RT-PCR, immunoglobin M (IgM)-and immunoglobin G (IgG)-based immunoassays should be coupled with RT-PCR to improve the accuracy of the test, as recommended by the Diagnosis and treatment protocol for novel coronavirus pneumonia (trial version 7) [35] .

Based on this guideline, the RTisochip TM -W system can be used in the following scenarios: ① to rapidly diagnose the exact cause of COVID-19-like symptoms in most cases in order to prevent mistreatment and cross-infection among patients; and ② to closely monitor the occurrence of HAIs during treatment due to the deterioration of medical situations caused by the pandemic. The RTisochip TM -W system, synergistically combined with other in vitro diagnostic tools, will make our fight against COVID-19 more efficient and more precise. In the future, the capability of the RTisochip TM -W can be further improved by introducing more pathogens into the detection list, by integrating sample preparations to form a ''sample-in-answer-out" system, and by combining with an automated robotic system to reach higher throughput.

In summary, we have successfully developed a high-throughput nucleic acid isothermal amplification system that is capable of detecting 19 common respiratory viruses, including SARS-CoV-2, from 16 clinical samples within 90 min. The high sensitivity, good specificity, strong robustness, and excellent repeatability demonstrated in the extensive clinical tests proved that our RTisochip TM -W system can be utilized as a powerful nucleic acid testing tool in the diagnosis and screening of respiratory viruses, including SARS-CoV-2, in fever outpatient departments, ICUs, medical quarantine areas, and many other settings, where the precise cause of pneumonia is urgently demanded.

A novel coronavirus outbreak of global health concern

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Molecular diagnosis of a novel coronavirus (2019-nCoV) causing an outbreak of pneumonia

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Microfluidic SlipChip device for multistep multiplexed biochemistry on a nanoliter scale

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Digital microfluidics for cellbased assays

Development of a digital microfluidic platform for point of care testing

A microfluidic Lab-on-a-Disc (LOD) for antioxidant activities of plant extracts

LabDisk with complete reagent prestorage for sampleto-answer nucleic acid based detection of respiratory pathogens verified with influenza A H3N2 virus

Clinical evaluation of the loop-mediated isothermal amplification assay for the detection of common lower respiratory pathogens in patients with respiratory symptoms

Multiplexed molecular diagnostics for respiratory, gastrointestinal, and central nervous system infections

Comparison of the Biofire FilmArray RP, Genmark eSensor RVP, Luminex xTAG RVPv1, and Luminex xTAG RVP fast multiplex assays for detection of respiratory viruses

Comparison of two multiplex methods for detection of respiratory viruses: FilmArray RP and xTAG RVP

Nucleic acid sequence-based amplification

Nucleic acid sequence-based amplification (NASBA)

Qualitative and quantitative detection of HIV-1 RNA by nucleic acid sequencebased amplification

Comparison of nucleic acid sequence-based amplification and loop-mediated isothermal amplification for diagnosis of human African trypanosomiasis

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Integrated microfluidic tmRNA purification and real-time NASBA device for molecular diagnostics

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A rapid, low-cost, and microfluidic chip-based system for parallel identification of multiple pathogens related to clinical pneumonia

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We thank Dr. Nan-Shan Zhong