Skip to main content
Revista do Instituto de Medicina Tropical de São Paulo logoLink to Revista do Instituto de Medicina Tropical de São Paulo
. 2020 Jun 29;62:e44. doi: 10.1590/S1678-9946202062044

SARS-CoV-2 and the COVID-19 disease: a mini review on diagnostic methods

Beatriz Araujo Oliveira 1, Lea Campos de Oliveira 1, Ester Cerdeira Sabino 1, Thelma Suely Okay 2
PMCID: PMC7325591  PMID: 32609256

ABSTRACT

Coronavirus disease 2019 (COVID-19) is an infectious disease initially reported in China and currently worldwide dispersed caused by a new coronavirus (SARS-CoV-2 or 2019-nCoV) affecting more than seven million people around the world causing more than 400 thousand deaths (on June 8th, 2020). The diagnosis of COVID-19 is based on the clinical and epidemiological history of the patient. However, the gold standard for COVID-19 diagnosis is the viral detection through the amplification of nucleic acids. Although the quantitative Reverse-Transcription Polymerase Chain Reaction (RT-PCR) has been described as the gold standard for diagnosing COVID-19, there are several difficulties involving its use. Here we comment on RT-PCR and describe alternative tests developed for the diagnosis of COVID-19.

Keywords: COVID-19, SARS-CoV-2, 2019-nCoV, RT-PCR, Serological methods, Immunochromatography

INTRODUCTION

In December 2019, an outbreak of pneumonia of unknown etiology was reported in Hubei province, Wuhan municipality, China. In January 2020, the etiologic agent was isolated and described by the Chinese government as a new coronavirus (SARS-CoV-2 or 2019-nCoV)1-4.

SARS-CoV2 is one of seven human-infecting coronaviruses identified so far. It is a single strand positive sense RNA virus (+)ssRNA belonging to the β-coronavirus lineage B1-3. In March 2020, the World Health Organization (WHO) declared the disease COVID-19, caused by SARS-CoV2, as a pandemic and according to WHO, there were more than seven million confirmed cases worldwide and more than 400 thousand deaths (on June 8th, 2020)1,5.

SARS-CoV-2 genome codes for a polyprotein (ORF1ab) involved in the transcription and replication of the viral RNA, four structural proteins: E for envelope; M for membrane; N for nucleocapsid that is necessary for the viral synthesis and the S protein for Spike, that allows the entry and the infection of the host cell, in addition to five accessory proteins (ORF3a, ORF6, ORF7a, ORF8 and ORF10)1,3,6,7.

The viral S protein binds to the human ACE2 receptor, causing conformational changes in the coronavirus and allowing its fusion to the host cell membrane. The process of entering the cell requires the action of the TMPRSS2 protease, which regulates the cleavage of the S protein6,8.

The clinical presentation of COVID-19 disease comprises a broad range of unspecified symptoms, such as fever, dry cough, dyspnea, headache, sputum production, hemoptysis, myalgia, fatigue, nausea, vomiting, diarrhea and abdominal pain1,3,4,9,10. Loss of smell and taste were not commonly described in China, but have been reported more recently as an early clinical marker of COVID-1911,12.

COVID-19 patients may be classified as asymptomatic or symptomatic, and the symptoms can vary from mild to severe and critical1,3,13. The severe acute respiratory syndrome (SARS) is more common among people with risk factors, such as advanced age, smoking and those with associated comorbidities (diabetes, hypertension, cardiovascular disease, obesity, chronic lung disease, kidney diseases)1,4,14.

Once humans are infected, they begin to transmit the virus through droplets, sneezing, aerosols1,4,10. Some findings in the literature suggest that patients with none or only mild symptoms can release large amounts of viruses during the initial stage of the infection1,10,15,16, favoring the rapid spread of the virus1,10,14,17,18. However, Pan et al.19, in a study with 26 asymptomatic patients noticed that transmission by asymptomatic patients was less frequent than by symptomatic ones, suggesting that asymptomatic patients are less infectious.

The disease incubation period varies from 3-14 days, with an initial estimated basic reproduction number (R0) of 2.2, that is, each patient transmits the infection to other 2.2 individuals1,4. However, with the accumulated experience and higher numbers of patients in different countries, mathematical and epidemiological studies estimated COVID-19 R0 varying from 1.4 to 6.472,10,17, depending on the isolation and quarantine, as well as other control measures10,16.

Due to the high transmission rate of SARS-CoV2, specific measures are urgently needed to contain the pandemic, such as the improvement of diagnostic methods for the detection of asymptomatic and mildly symptomatic patients during the early phases of the disease. In this mini review, we summarize and discuss the diagnostic methods currently available1,2,14.

Laboratory methods

The diagnosis of COVID-19 is based on the clinical and epidemiological history of the patient, as well as on ancillary exams findings, for instance the chest X-ray and especially the chest tomography (CT-scan) revealing the characteristic images of ground glass, that were also seen in asymptomatic patients. However, the gold standard for COVID-19 diagnosis is through the analysis of nucleic acids, that is, the demonstration of SARS-CoV2 RNA in respiratory samples9,19-21.

Non-specific exams

Laboratory findings include leukopenia and lymphopenia in 80% of the cases, depletion of CD4 and CD8 lymphocytes, in addition to mild thrombocytopenia. Some authors have also suggested changes in the neutrophil/lymphocyte ratio in the severe disease progression of COVID-19 patients1,10,22.

Increased inflammatory markers have also been described in COVID-19: lactate dehydrogenase (LDH), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), aspartate aminotransferase (ASAT), troponin, ferritin, creatine kinase (CK) and D-dimer, in addition to the extended prothrombin time1,10,22.

Severely ill patients may have high levels of cytokines IL2, IL4, IL6, IL7, IL10 and tumor necrosis factor (TNF)1,10,22. In patients with the severe acute respiratory syndrome, the so-called cytokines storms was observed, with the release of the previously mentioned cytokines in addition to others, such as CCL2, CCL3, CCL5, CXCL10, leading to multiple organs failure and eventually to death23-25.

The quantitative Reverse-Transcription Polymerase Chain Reaction (RT-PCR)

In January 2020, the novel coronavirus was isolated from Wuhan’s patients providing information on the viral genetic sequencing, available at the Global Initiative on Sharing All Influenza Data – GISAID, allowing the development of the specific diagnostic methods for COVID-19 through quantitative Reverse-Transcription Polymerase Chain Reaction (RT-PCR) system, i.e, quantitative Real Time amplifications preceded by RNA extraction from the nasopharyngeal and oropharyngeal secretions, followed by a reverse transcription step to convert RNA into complementary DNA (cDNA) that will undergo amplification. The RT-PCRs that have been applied to COVID-19 diagnosis contain fluorescent probes that will recognize and hybridize to segments of the amplification products, increasing the assays specificity1,26,27.

The RT-PCR is the gold standard for the confirmation of COVID-19 disease in upper respiratory samples (nasopharyngeal and oropharyngeal secretion). Several RT-PCR protocols were released by WHO to provide a suitable diagnosis, help testing populations and contribute to controlling the spread of the disease (Table 1)1,28.

Table 1. Description of the most used RT-PCR for diagnosing SARS-Cov-2.

  • Institution/ country

  • Primer ID

  • Method

  • Findings

  • China’s CDC – China29,56

  • ORF1ab, E and N

  • Three singleplex RT-PCR using fluorescent-labeled probes

  • Lowest detection limit of ORF1ab was 203 copies/mL

  • Lowest detection limit of E gene was 664 copies/mL

  • Lowest detection limit of N gene was 667 copies/mL

  • Institut Pasteur – France29

  • RdRp gene/nCoV_IP2

  • RdRp gene/nCoV_IP4

  • Two singleplex RT-PCR or one multiplex RT-PCR with fluorescent-labeled probes

  • 95% assertiveness in samples containing ~

  • 100 viral copies

  • The multiplex RT-PCR detects 10 viral copies

  • No cross-reactivity with other viruses

  • CDC – USA29,57

  • 2019-nCoV_N1

  • 2019-nCoV_N2

  • 2019-nCoV_N3

  • Three singleplex RT-PCR using fluorescent-labeled probes

  • 95% assertiveness in samples containing

  • 100,5 RNA copies/µL using automatic RNA extraction and 100

  • RNA copies/µL using manual RNA extraction

  • Charité – Germany29,58

  • RdRP_SARSr

  • E_Sarbeco

  • Two singleplex RT-PCR, the screening made by the E gene amplification confirmed by RdRP

  • Lowest detection limit of RdRp and E_Sarbeco 3.8 and 5.2 copies/reaction, respectively

  • HKU - Hong Kong29,59

  • ORF1b-nsp14

  • N

  • Two RT-PCR, firstly the N gene amplification with fluorescent-labed probe followed by confirmation by amplifying the ORF1b-nsp14 with fluorescent-labeled probe

  • N gene Ct values up to 35.43 were positive corresponding to 15 copies/reaction

  • ORF1b Ct values up to 38.97 were positive corresponding to 1.5 copies/reaction

  • National Institute of Health – Thailand29,59

  • N

  • Singleplex RT-PCR with fluorescent-labeled probe

  • N gene Ct values were positive up to 38.12, corresponding to 15 copies/reaction

CDC = Center for Disease Control and Prevention; HKU = Hong Kong University.

The RT-PCR protocol designed by the Institut Pasteur (France) showed excellent results in comparison with the protocol from Charité (Germany), considered the reference RT-PCR, reaching nearly 95% assertiveness in samples containing around 100 copies of SARS-CoV-2 genome. In this protocol, two targets from the RNA-dependent RNA Polymerase (RdRP) gene of SARS-CoV-2 were evaluated separately (nCoV-IP2 and 4 – Table 1), and then the primers were combined in multiplex RT-PCR assays resulting in the detection of samples containing 10 copies of the virus genome29. The specificity was evaluated using samples containing other respiratory viruses (H1N1, H3N2, B-Victoria, B-Yamagata, influenza C, RSV A and B, hBoV, hPIV, hMPV, HRV/enterovirus, adenovirus, HKU1, OC43, 229E and NL63) and none of them was detected with the RdRp gene/nCoV-IP2 and 429.

Although RT-PCR has been described as the gold standard for diagnosing COVID-19, there are several difficulties involving its use1,10,23,28,30. The RT-PCR kit distributed by China’s CDC was designed to detect the nucleocapsid (N) and the Open Reading Frame ORF1ab of SARS- CoV-2 genome, and the infection is confirmed when both markers are amplified (Table 1). However, it is not infrequent that the results are inconsistent due to the amplification of only one of the targets10,23.

One of the bottlenecks related to RT-PCR for the diagnosis of COVID-19 is the incorrect collection and processing of samples. Some studies suggest that samples obtained from the upper respiratory tract (bottom of the nostrils and the oropharynx)1,9,10 are optimal clinical samples due the high viral copy number in the respiratory tract. In addition to oral and nasal swabs, viral load levels can be detected in the gastrointestinal tract and eventually in blood samples, however in lower amounts27,28,31.

A study performed by Yang et al.32, using different samples (throat swabs, nasal swabs, sputum and broncho alveolar lavage fluid – BALF) collected in different period of times (0 to 7, 8 to 14, and more than 15 days after the onset of disease) evidenced that except for BALF, sputum samples presented the highest positivity rate (74.4% and 88.9%) , followed by nasal swabs (53.6% and 73.3%) from severely and mildly symptomatic patients in the first 14 days after the onset of disease, respectively. After 15 days of the onset of disease, sputum and nasal swabs presented lower positive rates (42.9% and 61.1%, respectively)32,33. BALF was considered important for monitoring and diagnosing severe cases, while throat swabs presented the lowest positivity among the samples32,33.

A report of two Korean patients found different viral load kinetics suggesting variations among infected people. In the first patient the virus was detected between two and three days after the onset of symptoms in both, the lower and the upper respiratory tract. However, viral load levels decreased on the 7th day, remaining positive until the 13th day. In the second patient, the virus was detected on the 14th day of symptoms in the lower and the upper respiratory tract, becoming undetectable from the 18th to 20th day, but coming back positive on the 25th day33.

To ensure the best performance of the technique and to avoid RNA degradation, following the swabs collection, the samples are immersed in a transport medium/lysis buffer or a sterile saline solution1,29,31,34. Specimens should be stored at 2-8 °C for up to 72 h after sampling. When the test will not be performed in a short period of time, the samples should be stored at much lower temperatures, at least of -70 ° C29,34,35.

Another difficulty in carrying out RT-PCR is the delay in releasing results during the pandemic1,10. The RNA extraction step, part of the diagnostic protocol, is time consuming, especially if there is no automated platform to perform this process36,37, opening loopholes for the occurrence of cross-contamination between samples and of biological hazards to the handler, if the laboratory personnel is not using proper personal protection equipment when manipulating high viral load respiratory secretions28,38,39.

Some studies have been carried out to shorten the diagnostic time using RT-PCR, and the results have shown that the RNA extraction step can be avoided in the diagnosis of COVID-1936,40. Grant et al.36 designed a RT-PCR to COVID-19 that do not undergo a previous RNA extraction step, and this procedure was compared with a high yield automated platform (Panther fusion Hologic) that reached 98% sensitivity and 100% specificity. The authors concluded that the RT-PCR with no previous RNA extraction step has increased the performance of the technique.

To reinforce this idea, Arumugam and Wong37, dealing with samples from influenza-suspected cases, demonstrated that the RNA extraction step is not necessary, provided that the patient’s nasal swab is immersed in a viral transport medium. These results were corroborated in samples from COVID-19 patients41,42.

In addition to the previously mentioned difficulties related to RT-PCR, specific knowledge and specialized technical training are required to perform these amplifications, aside from the high costs of reagents and thermocyclers. The occurrence of RT-PCR false-positive results are associated with handling errors and cross-contamination of samples, while false-negative results are related to the incorrect sample collection, storage and processing1,10.

Enzyme Immunoassay (EIA) or Enzyme-Linked immunosorbent Assay (ELISA)

EIA or ELISA are simple, fast and safe assays that test serum or plasma samples from infected patients. The diagnosis through ELISA is based on the detection of IgM and IgG antibodies raised to SARS-CoV-2 nucleoprotein Rp3 during the initial stages of COVID-19 disease1,9,10.

Coronavirus neutralizing antibodies target the S protein (Spike) that in turn mediates the entry of the virus into the host cell. The S1 subunit acts on the cell binding, while the S2 subunit acts on the fusion of the viral membrane to the cell membrane6,43.

Okba et al.7 developed serological assays for the detection of neutralizing antibodies, as well as antibodies raised to the N and S proteins, as well as subunits S1 and the receptor-binding domain (RBD) from the S protein of SARS-CoV-2 through the ELISA method. These authors demonstrated that antibodies reacted with SARS-CoV-2 proteins S, S1 and RBD, in addition to indicating S1 as the most specific antigen for the diagnosis of COVID-19. When evaluating the other domains of the protein S, they observed that the S2 subunit is the most conserved, playing a role in the cross-reactivity with the S protein of MERS-CoV.

Reports in the literature suggest that false-positive ELISA results may occur with SARS-CoV-1 infection, as the protein N is extremely conserved among human-infecting β-coronavirus1,10.

Although the ELISA for the detection of protein S is more specific, in patients with mild infection, the proteins N and RBD were more sensitive than S1, indicating the need to detect antibodies against different antigens to avoid false-negative results1,7.

The literature describes that IgM response to the S and N SARS-CoV-1 proteins peaks four weeks after the onset of symptoms, and is no longer detected three months after the onset of symptoms, while IgG detection was detected around the 14th day after the onset of symptoms, remaining detectable up to 36 months. In SARS-CoV-2, an study with 34 patients showed positivity for IgM and IgG on the 3rd week after the onset of symptoms, with a decrease of IgM levels on the 4th week and increase of IgG from the 4th week until the 7th week after the onset of symptoms44,45.

Guo et al.46 evaluated the humoral response against SARS-CoV-2 using an ELISA technique and plasma samples from 208 patients, 82 of whom had confirmed diagnosis of COVID-19 by RT-PCR, aside from samples of 58 probable cases according to clinical signs and symptoms, although RT-PCRs had been negative. The results indicated that the mean duration of IgM and IgA antibodies was five days, while the IgG antibodies were detected 14 days after the onset of symptoms in those with RT-PCR-confirmed infections.

These data showed that IgM detection by ELISA seems to be more efficient than RT-PCR five days after the onset of symptoms. Antibodies are known to have different temporal dynamics, so that a combined assessment of IgG and IgM could increase the serological diagnosis sensitivity1,45,46.

A study comparing the effectiveness of different commercially available serological tests showed 100% specificity of the Wantai SARS-CoV-2 total antibody ELISA (Beijing Wantai Biological Pharmacy Enterprise, Beijing, China), 93% for the Euroimmun IgA ELISA (Euroimmun Medizinische Labordiagnostika, Lϋbeck, Germany) and 96% for the Euroimmun IgG ELISA, with sensitivities of 90%, 90% and 65%, respectively, emphasizing the importance of combining tests raised to different antibodies1,47.

Despite the advantages of using the ELISA technique, according to the CDC-USA, serological tests should not be used for diagnosing the acute phase of the disease (within 7 days from the onset of symptoms); the serological method should be used for detecting possible previous infection in the convalescent phase, considering the period of 14 days after the onset of symptoms; for the retrospective assessment of outbreaks, epidemiologic studies, screening, diagnosis of asymptomatic patients and close contacts of confirmed cases46,48,49.

Immunochromatographic tests (rapid tests)

Aside from the ELISA assays, immunochromatographic tests have also been studied in the context of COVID-19. It is a quick test performed by the application of a drop of the patient’s sample (whole blood, serum or plasma) and a specific buffer on an immunochromatographic stick. By capillary attraction, the analyte of interest (a SARS-CoV-2 protein or peptide) binds to its specific antibody in a reaction zone and the antigen-antibody reaction will be evidenced by the formation of a colored band (colloidal-gold presenting a red color or colloidal selenium presenting a blue color). This reaction should always contain a test control (band that will always appear), together with one or two other bands; one band when the test detects total antibodies anti-SARS-CoV-2 and two bands when the test differentiates IgM and IgG antibodies50,51.

Pan et al.2 showed the effectiveness of the Colloidal-Gold-Immunochromatographic Assay (GICA) technique for IgG and IgM anti-SARS-CoV-2 detections (Zhuhai Livzon Diagnostics Inc, Zhuhai, China), comparing results with those of RT-PCR. The sensitivity of GICA was 11.1% from the 1st to the 7th day after the onset of symptoms; 92.9% from the 8th to the 14th days and 96.8% from day 15 after the onset of symptoms.

Whole blood samples, serum and plasma samples were evaluated using the GICA technique, and the detection of IgG and IgM antibodies was consistent irrespective of the biological sample, which is an advantage of the method considering the low viral load detected in blood samples by RT-PCR2,31.

Some surveys have compared the GICA technique for the detection of IgG and IgM anti-SARS-CoV-2 with ELISA IgG and IgM, showing that both tests were 100% specific, but ELISA showed 87% sensitivity, while GICA reached 82.4%1,9.

The Lateral Flow Immunoassay (LFIA) takes only 15 min and the analysis of 397 patients with confirmed COVID-19 diagnosis by using the LFIA IgG and IgM showed 88.66% sensitivity and 90.63% specificity. When the results obtained from the analysis of blood sampled by digital punch, venous puncture, or using serum or plasma samples were compared, the results were consistent52.

Immunochromatographic tests are a good option for diagnosing a large number of samples as it is fast, easy to perform, presenting sensitive results, allowing the identification of suspicious cases, as well as the screening and monitoring of COVID-19 progression in populations51.

Microarray

Microarray, a technique performed using small amounts of sample and reagents, is based on the detection of proteins from the specimen of interest by the recognition of antibodies immobilized on a surface, and the recognition is evidenced through the emission of a fluorescent signal that is captured and analyzed by a specific equipment53,54.

In a proteomic microarray using the genome of MN908947.3 (severe acute respiratory syndrome coronavirus 2 isolate Wuhan-Hu-1 complete genome sequence), to build the library containing 966 peptides as a reference, it was shown that the anti-SARS-CoV-1 antibodies can also detect SARS-CoV-2 proteins, providing an alternative for the diagnosis of COVID-196.

Wang et al.6 screened IgG and IgM antibodies in COVID-19 RT-PCR-positive patients via microarray and the technique revealed that many antibodies recognized the M, N, S, ORF1ab, ORF7a and ORF8 protein peptides. Four immune dominant epitopes were detected in more than 80% of the patients with confirmed diagnosis, namely: N (residue 206-210, SPARM), S (residue 816-820, SFIED) and ORF3a (residue 136-140, KNPLL; residue 176-180, SPISE). No antibodies were detected for E, ORF6 and ORF10.

Poh et al.55 analyzed 25 serum samples from patients with COVID-19 and they detected immunodominant B-cell epitopes. By depleting the antibodies directed to the epitopes S14P5, S21P2 and S14P5 + S21P2, a reduced ability to neutralize the SARS-CoV2-pseudovirus was observed.

Experiments using the full length protein S revealed three main epitopes for the IgM antibody (816-SFIED-820; 886-WTFGA-890; 1046-GYHLM-1050) and six main epitopes for IgG antibody (26-PAYTN-30; 186-FKNLR-190; 356-KRISN-360; 456-FRKSN-460; 806-LPDPSKPSKRSFIED-820; 11196-SLIDL-1200). Within protein N, two main epitopes were selected for IgM detection (206-SPARM-210; 386-QKKQQ-390), and eight main epitopes for IgG detection (66-FPRGQ-70; 96-GGDGK-100; 166-TLPKG-170; 206-SPARM-210; 226-RLNQL-230; 256-KKPRQ-260; 316-GMSRI-320; 366-TEPKKDKKKKADETQALPQRQKKQQTVTLPAADL-400)6.

Microarray studies strongly suggest that this is an effective technique for mapping the antibodies profile, monitoring the immune response and identifying candidate epitopes for the development of diagnostic tests, vaccines and even new targets for treatment. The results have also confirmed that the receptor-binding domain (RBD- residue 438-498) constitutes a good candidate for the development of neutralizing antibodies due to its action on ACE-2 receptors6,55.

CONCLUSION

Considering all the discussed points in this mini review, we conclude that many molecular and serological techniques have been developed so far, however, there is still urgent need of safe, fast, affordable, more sensitive and accurate methods for diagnosing the infection caused by SARS-CoV-2 to control the spread of COVID-19 and to enable the development of vaccines and specific treatments.

REFERENCES

  • 1.Singh A, Shaikh A, Singh R, Singh AK. COVID-19: from bench to bed side. Diabetes Metab Syndr. 2020;14:277–281. doi: 10.1016/j.dsx.2020.04.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Pan Y, Li X, Yang G, Fan J, Tang Y, Zhao J, et al. Serological immunochromatographic approach in diagnosis with SARS-CoV-2 infected COVID-19 patients. J Infect. 2020;81:e28–e32. doi: 10.1016/j.jinf.2020.03.051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.D’Amico F, Baumgart DC, Danese S, Peyrin-Biroulet L. Diarrhea during COVID-19 infection: pathogenesis, epidemiology, prevention and management. Clin Gastroenterol Hepatol. 2020 doi: 10.1016/j.cgh.2020.04.001. In Press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Rothan HA, Byrareddy SN. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. 102433J Autoimmun. 2020;109 doi: 10.1016/j.jaut.2020.102433. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.World Health Organization Coronavirus disease (COVID-2019) situation report - 140. [cited 2020 Jun 18]. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200608-covid-19-sitrep-140.pdf?sfvrsn=2f310900_2.
  • 6.Wang H, Hou X, Wu X, Liang T, Zhang X, Wang D, et al. SARS-CoV-2 proteome microarray for mapping COVID-19 antibody interactions at amino acid resolution. bioRxiv. 2020 doi: 10.1021/acscentsci.0c00742. In Press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Okba NM, Müller MA, Li W, Wang C, Geurts van Kessel CH, Corman VM, et al. Severe acute respiratory syndrome Coronavirus 2: specific antibody responses in Coronavirus disease 2019 patients. Emerg Infect Dis. 2020 doi: 10.3201/eid2607.200841. In Press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Vaira LA, Salzano G, Deiana G, De Riu G. Anosmia and ageusia: common findings in COVID-19 patients. 1787Laryngoscope. 2020;130 doi: 10.1002/lary.28692. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Xiang J, Yan M, Li H, Liu T, Lin C, Huang S, et al. Evaluation of enzyme-linked immunoassay and colloidal gold-immunochromatographic assay kit for detection of novel Coronavirus (SARS-Cov-2) causing an outbreak of pneumonia (COVID-19) medRxiv. 2020 In Press. [Google Scholar]
  • 10.Wang Y, Wang Y, Chen Y, Qin Q. Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID-19) implicate special control measures. J Med Virol. 2020;92:568–576. doi: 10.1002/jmv.25748. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Moein ST, Hashemian SM, Mansourafshar B, Khorram-Tousi A, Tabarsi P, Doty RL. Smell dysfunction: a biomarker for COVID-19. Int Forum Allergy Rhinol. 2020 doi: 10.1002/alr.22587. In Press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Brann D, Tsukahara T, Weinreb C, Lipovsek M, Berge KV, Gong B, et al. Non-neuronal expression of SARS-CoV-2 entry genes in the olfactory system suggests mechanisms underlying COVID-19-associated anosmia. bioRxiv. 2020 doi: 10.1126/sciadv.abc5801. In Press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Ahn DG, Shin HJ, Kim MH, Lee S, Kim HS, Myoung J, et al. Current status of epidemiology, diagnosis, therapeutics, and vaccines for novel Coronavirus disease 2019 (COVID-19) J Microbiol Biotechnol. 2020;30:313–324. doi: 10.4014/jmb.2003.03011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Yan CH, Faraji F, Prajapati DP, Boone CE, DeConde AS. Association of chemosensory dysfunction and Covid-19 in patients presenting with influenza-like symptoms. Int Forum Allergy Rhinol. 2020 doi: 10.1002/alr.22579. In Press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Tong ZD, Tang A, Li KF, Li P, Wang HL, Yi J-P, et al. Potential presymptomatic transmission of SARS-CoV-2, Zhejiang Province, China, 2020. Emerg Infect Dis. 2020;26:1052–1054. doi: 10.3201/eid2605.200198. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Rocklöv J, Sjödin H, Wilder-Smith A. COVID-19 outbreak on the Diamond Princess cruise ship: estimating the epidemic potential and effectiveness of public health countermeasures. J Travel Med. 2020;27 doi: 10.1093/jtm/taaa030. taaa030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Guo YR, Cao QD, Hong ZS, Tan YY, Chen SD, Jin HJ, et al. The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak: an update on the status. 11Mil Med Res. 2020;7 doi: 10.1186/s40779-020-00240-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Lim J, Jeon S, Shin HY, Kim MJ, Seong YM, Lee WJ, et al. Case of the index patient who caused tertiary transmission of Coronavirus disease 2019 in Korea: the application of lopinavir/ritonavir for the treatment of COVID-19 pneumonia monitored by quantitative RT-PCR. e79J Korean Med Sci. 2020;35 doi: 10.3346/jkms.2020.35.e89. [DOI] [PubMed] [Google Scholar]
  • 19.Pan Y, Yu X, Du X, Li Q, Li X, Qin T, et al. Epidemiological and clinical characteristics of 26 asymptomatic SARS-CoV-2 carriers. J Infect Dis. 2020;221:1940–1947. doi: 10.1093/infdis/jiaa205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Zhu J, Zhong Z, Li H, Ji P, Pang J, Li B, et al. CT imaging features of 4,121 patients with COVID-19: a meta-analysis. J Med Virol. 2020;92:891–902. doi: 10.1002/jmv.25910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Zhang J, Liu P, Wang M, Wang J, Chen J, Yuan W, et al. The clinical data from 19 critically ill patients with coronavirus disease 2019: a single-centered, retrospective, observational study. Z Gesundh Wiss. 2020 doi: 10.1007/s10389-020-01291-2. In Press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Tan C, Huang Y, Shi F, Tan K, Ma Q, Chen Y, et al. C-reactive protein correlates with CT findings and predicts severe COVID-19 early. J Med Virol. 2020;92:856–862. doi: 10.1002/jmv.25871. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Li X, Geng M, Peng Y, Meng L, Lu S. Molecular immune pathogenesis and diagnosis of COVID-19. J Pharm Anal. 2020;10:102–108. doi: 10.1016/j.jpha.2020.03.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Ye Q, Wang B, Mao J. The pathogenesis and treatment of the ‘cytokine storm’ in COVID-19. J Infect. 2020;80:607–613. doi: 10.1016/j.jinf.2020.03.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Mehta P, McAuley DF, Brown M, Sanchez E, Tattersall RS, Manson JJ. COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet. 2020;395:1033–1034. doi: 10.1016/S0140-6736(20)30628-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Wang C, Horby PW, Hayden FG, Gao GF. A novel coronavirus outbreak of global health concern. Lancet. 2020;395:470–473. doi: 10.1016/S0140-6736(20)30185-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Corman VM, Landt O, Kaiser M, Molenkamp R, Meijer A, Chu DK, et al. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. 2000045Euro Surveill. 2020;25 doi: 10.2807/1560-7917.ES.2020.25.3.2000045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Wang M, Wu Q, Xu W, Qiao B, Wang J, Zheng H, et al. Clinical diagnosis of 8274 samples with 2019-novel coronavirus in Wuhan. medRxiv. 2020 In Press. [Google Scholar]
  • 29.World Health Organization Molecular assays to diagnose COVID-19: summary table of available protocols. [cited 2020 Jun 18]. https://www.who.int/publications/m/item/molecular-assays-to-diagnose-covid-19-summary-table-of-available-protocols.
  • 30.Zhang Y, Odiwuor N, Xiong J, Sun L, Nyaruaba RO, Wei H, et al. Rapid molecular detection of SARS-CoV-2 (COVID-19) virus RNA using colorimetric LAMP. medRxiv. 2020 In Press. [Google Scholar]
  • 31.Sridhar S, Forrest S, Kean I, Young J, Scott JB, Maes M, et al. A blueprint for the implementation of a validated approach for the detection of SARS-Cov2 in clinical samples in academic facilities. bioRxiv. 2020 doi: 10.12688/wellcomeopenres.15937.1. In Press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Yang Y, Yang M, Shen C, Wang F, Yuan J, Li J, et al. Evaluating the accuracy of different respiratory specimens in the laboratory diagnosis and monitoring the viral shedding of 2019-nCoV infections. medRxiv. 2020 In Press. [Google Scholar]
  • 33.Tahamtan A, Ardebili A. Real-time RT-PCR in COVID-19 detection: issues affecting the results. Expert Rev Mol Diagn. 2020;20:453–454. doi: 10.1080/14737159.2020.1757437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Centers for Disease Control and Prevention Interim guidelines for collecting, handling, and testing clinical specimens for COVID-19. [cited 2020 Jun 17]. https://www.cdc.gov/coronavirus/2019-ncov/lab/guidelines-clinical-specimens.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fguidelines-clinical-specimens.html.
  • 35.Sitarska D, Ługowska A. Laboratory diagnosis of the Niemann-Pick type C disease: an inherited neurodegenerative disorder of cholesterol metabolism. Metab Brain Dis. 2019;34:1253–1260. doi: 10.1007/s11011-019-00445-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Grant PR, Turner MA, Shin GY, Nastouli E, Levett LJ. Extraction-free COVID-19 (SARS-CoV-2) diagnosis by RT-PCR to increase capacity for national testing programmes during a pandemic. bioRxiv. 2020 In Press. [Google Scholar]
  • 37.Arumugam A, Wong S. The potential use of unprocessed sample for RT-qPCR detection of COVID-19 without an RNA extraction step. bioRxiv. 2020 In Press. [Google Scholar]
  • 38.Schmid-Burgk JL, Li D, Feldman D, Słabicki M, Borrajo J, Strecker J, et al. LAMP-Seq: population-scale COVID-19 diagnostics using a compressed barcode space. bioRxiv. 2020 In Press. [Google Scholar]
  • 39.Aslanzadeh J. Preventing PCR amplification carryover contamination in a clinical laboratory. Ann Clin Lab Sci. 2004;34:389–396. [PubMed] [Google Scholar]
  • 40.Merindol N, Pépin G, Marchand C, Rheault M, Peterson C, Poirier A, et al. Optimization of SARS-CoV-2 detection by RT-QPCR without RNA extraction. bioRxiv. 2020 doi: 10.1016/j.jcv.2020.104423. In Press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Beltrán-Pavez C, Márquez CL, Muñoz G, Valiente-Echeverría F, Gaggero A, Soto-Rifo R, et al. SARS-CoV-2 detection from nasopharyngeal swab samples without RNA extraction. bioRxiv. 2020 In Press. [Google Scholar]
  • 42.Bruce EA, Huang ML, Perchetti GA, Tighe S, Laaguiby P, Hoffman JJ, et al. Direct RT-qpcr detection of SARS-cov-2 RNA from patient nasopharyngeal swabs without an RNA extraction step. bioRxiv. 2020 doi: 10.1371/journal.pbio.3000896. In Press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Wang C, Li W, Drabek D, Okba NM, van Haperen R, Osterhaus AD, et al. A human monoclonal antibody blocking SARS-CoV-2 infection. 2251Nat Commun. 2020;11 doi: 10.1038/s41467-020-16256-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Siracusano G, Pastori C, Lopalco L. Humoral immune responses in COVID-19 patients: a window on the state of the art. 1049Front Immunol. 2020;11 doi: 10.3389/fimmu.2020.01049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Huang AT, Garcia-Carreras B, Matt DT, Hitchings BY, Katzelnick L, Rattigan SM, et al. A systematic review of antibody mediated immunity to coronaviruses: antibody kinetics, correlates of protection, and association of antibody responses with severity of disease. medRxiv. 2020 doi: 10.1038/s41467-020-18450-4. In Press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Guo L, Ren L, Yang S, Xiao M, Chang D, Yang F, et al. Profiling early humoral response to diagnose novel Coronavirus disease (COVID-19) Clin Infect Dis. 2020 doi: 10.1093/cid/ciaa310. In Press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Lassaunière R, Frische A, Harboe ZB, Nielsen AC, Krogfelt KA, Jørgensen CS. Evaluation of nine commercial SARS-CoV-2 immunoassays. medRxiv. 2020 In Press. [Google Scholar]
  • 48.Centers for Disease Control and Prevention Overview of testing for SARS-CoV-2. [cited 2020 Jun 17]. https://www.cdc.gov/coronavirus/2019-nCoV/hcp/clinical-criteria.html.
  • 49.Hong KH, Lee SW, Kim TS, Huh HJ, Lee J, Kim SY, et al. Guidelines for laboratory diagnosis of Coronavirus disease 2019 (COVID-19) in Korea. Ann Lab Med. 2020;40:351–360. doi: 10.3343/alm.2020.40.5.351. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Watson ID. Clinical diagnosis: chromatography. In: Poole C, Cooke M, editors, editors. Encyclopedia of separation science. London: Academic Press; 2000. pp. 2484–2490. [Google Scholar]
  • 51.Chen Z, Zhang Z, Zhai X, Li Y, Lin L, Zhao H, et al. Rapid and sensitive detection of anti-SARS-CoV-2 IgG, using lanthanide-doped nanoparticles-based lateral flow immunoassay. Anal Chem. 2020;92:7226–7231. doi: 10.1021/acs.analchem.0c00784. [DOI] [PubMed] [Google Scholar]
  • 52.Li Z, Yi Y, Luo X, Xiong N, Liu Y, Li S, et al. Development and clinical application of a rapid IgM-IgG combined antibody test for SARS-CoV-2 infection diagnosis. J Med Virol. 2020 doi: 10.1002/jmv.25727. In Press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Sutandy FX, Qian J, Chen CS, Zhu H. Overview of protein microarrays. Curr Protoc Protein Sci. 2013;72:2711–2716. doi: 10.1002/0471140864.ps2701s72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Chen Z, Dodig-Crnković T, Schwenk JM, Tao S. Current applications of antibody microarrays. 7Clin Proteomics. 2018;15 doi: 10.1186/s12014-018-9184-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Poh CM, Carissimo G, Wang B, Amrun SN, Lee CY, Chee RS, et al. Potent neutralizing antibodies in the sera of convalescent COVID-19 patients are directed against conserved linear epitopes on the SARS-CoV-2 spike protein. bioRxiv. 2020 In Press. [Google Scholar]
  • 56.Niu P, Lu R, Zhao L, Wang H, Huang B, Ye F, et al. Three novel real-time RT-PCR assays for detection of COVID-19 virus. China CDC Wkly. 2020. [cited 2020 Jun 17]. http://weekly.chinacdc.cn/en/article/id/56e46c21-502e-4811-866e-568121359510. [DOI] [PMC free article] [PubMed]
  • 57.Vogels CB, Brito AF, Wyllie AL, Fauver JR, Ott IM, Kalinich CC, et al. Analytical sensitivity and efficiency comparisons of SARS-COV-2 qRT-PCR assays. medRxiv. 2020 doi: 10.1038/s41564-020-0761-6. In Press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Pang J, Wang MX, Ang IY, Tan SH, Lewis RF, Chen JI, et al. Potential rapid diagnostics, vaccine and therapeutics for 2019 novel Coronavirus (2019-nCoV): a systematic review. 623J Clin Med. 2020;9 doi: 10.3390/jcm9030623. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Jung YJ, Park GS, Moon JH, Ku K, Beak SH, Kim S, et al. Comparative analysis of primer-probe sets for the laboratory confirmation of SARS-CoV-2. bioRxiv. 2020 doi: 10.1021/acsinfecdis.0c00464. In Press. [DOI] [PubMed] [Google Scholar]

Articles from Revista do Instituto de Medicina Tropical de São Paulo are provided here courtesy of Instituto De Medicina Tropical De Sao Paulo

RESOURCES