Literature DB >> 14699466

Crouching tiger, hidden dragon: the laboratory diagnosis of severe acute respiratory syndrome.

L L M Poon, K H Chan, J S M Peiris.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 14699466      PMCID: PMC7107928          DOI: 10.1086/380848

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


× No keyword cloud information.
While the world awaited the next influenza pandemic to emerge from southern China, “nature,” as always, caught us by surprise. The unusual “atypical” pneumonia, subsequently called “severe acute respiratory syndrome” (SARS), that emerged out of southern China in late 2002 was not caused by influenza, but was, in fact, caused by a novel coronavirus [1-3]. Epidemiologically, infection with the SARS coronavirus (SARS-CoV) is closely linked with SARS [1, 4], and experimental infection of cynomolgus macaques (Macaca fascicularis) results in pathology reminiscent of the human disease [4, 5]. Human coronaviruses 229E and OC43 are known to be causes of the common cold and have received scant attention, either diagnostically or research wise, in the past few decades. Coronaviruses also cause disease in animals that varies from transmissible gastroenteritis in pigs, to feline infectious peritonitis in cats, to avian infectious bronchitis in chickens. However, phylogenetic relationships suggested that this new virus was not closely related to any of the previously known human or animal coronaviruses and that SARS-CoV may, in fact, be the first representative of a new group within the coronavirus family [6, 7]. The lack of serological evidence of prior SARS-CoV infection in the healthy population in many parts of the world, including regions where the disease outbreaks were the most severe, suggested that this was a virus that had recently entered the human population, presumably from an animal reservoir [1, 8]. Although the animal reservoir in nature remains to be defined, the recent isolation of SARS-CoV–like virus from small mammals in live wild-game animal markets in southern China confirmed the zoonotic origin of the virus and suggested that these markets could potentially be the interface where the inter-species jump from animals to humans occurs [9]. SARS is an acute pneumonic illness and is clinically difficult to distinguish from other types of atypical pneumonia in the absence of a clear epidemiological link to other patients with the disease [1, 10, 11]. Because of the propensity for transmission within hospitals, early diagnosis, isolation, and management was critical, and laboratory confirmation of the diagnosis early in the course of illness was vital. SARS-CoV infection is closely associated with disease and has rarely been detected in the absence of clinical disease. The question is how best to detect infection early in the course of the illness. Therein lies the dilemma. As with other microbial infections, the options for diagnosis are the demonstration of the pathogen in clinical specimens or the demonstration of a serological response to the agent. Detection of seroconversion to SARS-CoV using immunofluorescence and well-validated ELISA tests has been a very reliable means for confirming the diagnosis. However, the antibody response appears only around day 10 of the illness, and, in some patients, it may take even longer [12]. Thus, serological testing still remains the means for retrospective diagnosis. To date, IgM or other subtype assays have not been useful for closing the diagnostic window within the first week of illness, although future research and development may improve matters. Virus culture is still insensitive, and, in any event, primary virus isolation takes too long to be clinically relevant. Options such as shell vial culture may be considerations in the future, when monoclonal antibody reagents become available. However, given the current recommendation that culture of SARS-CoV be restricted to biosafety level 3 containment, culture-based diagnostic techniques are unlikely to be widely available. Conventional RT-PCR and recently established real-time PCR technologies have been reported to detect this deadly virus in patients with SARS [1–3, 13–17]. These RT-PCR tests showed us that the virus is detectable in specimens obtained from the upper and lower respiratory tracts, including nasopharyngeal aspirates and throat swab specimens. Specimens obtained from the lower respiratory tract, including sputum samples [2], endotracheal aspirates [8], and bronchial lavage fluid, are excellent specimens for detection of SARS-CoV. However, few patients expectorate sputum during the early stage of the illness. Somewhat surprisingly, viral RNA was also detected in feces and urine samples, although urine was not the most sensitive specimen at any stage of the illness [8]. The suitability of serum or peripheral blood leukocytes as a diagnostic specimen remains to be examined. With the first-generation RT-PCR tests, the overall diagnostic yield in the second week of illness was >80%, and feces specimens yielded better results than did respiratory specimens [8]. By use of quantitative assays, it was shown that the virus load in the upper respiratory tract is low during the first week of illness and peaks around day 10 of illness [12]. Thus, in the first 5 days of illness, none of these specimens gave a satisfactory diagnostic yield, and it was clear that the low virus load at this stage of illness posed a diagnostic challenge. This may be partly because the virus targets the lower rather than the upper respiratory tract [10, 11]. In any event, when tests for diagnosis of SARS are compared, it is important to characterize specimens in relation to the duration of illness. A number of approaches have been taken to address the challenge. In this issue of Clinical Infectious Diseases, Jiang et al. [18] describe a real-time nested PCR method for detection of SARS-CoV. With their assay, cDNA obtained from a throat swab sample was subjected sequentially to 2 rounds of amplification in a real-time quantitative PCR platform. The test is able to detect <10 copies of viral genome per reaction. Although only a small number of samples were evaluated, the assay seems to be more sensitive than a commercial, single-round RT-PCR kit. Discrepant results were all validated by serological testing, which demonstrated the specificity of their assay. The assay has a dynamic range from at least 103 to 1 copies per reaction and no detectable background signal from negative control samples. More importantly, the turn-around time for this method was much shorter than that for the conventional nested RT-PCR assay. However, the actual sensitivity and specificity of this method remains to be evaluated with a study involving a larger number of clinical specimens. To develop a better diagnostic test for SARS, we take an alternative approach. For these reported assays, the target sequences are within the ORF1ab region. Because of the presence of a large amount of subgenomic viral mRNA in infected cells, one would expect that the detection rate of SARS-CoV might be increased by targeting subgenomic viral mRNA [6, 7]. To explore this possibility, with some colleagues, we recently compared the amounts of genomic and subgenomic RNA in clinical specimens [15]. To our surprise, our results indicated that genomic viral RNA is the predominant viral RNA species in clinical samples, suggesting that there is no advantage in targeting subgenomic mRNA sequences for clinical diagnosis [15]. In another recent study [14], with some colleagues, we demonstrated that improving specimen extraction alone can markedly improve the sensitivity of the RT-PCR assays and that, when the improved RNA extraction protocol was combined with an optimized and sensitive real time RT-PCR assay, a sensitivity of 80% can be achieved during the first 3 days of illness. A nasopharyngeal aspirate specimen (rather than a throat swab specimen) must be used in this assay for optimal results. Obtainment of nasopharyngeal aspirates or nasopharyngeal swab specimens from patients with SARS has sometimes been a cause for concern. However, with appropriate precautions, the procedures can be done safely, and these specimens are the best for the rapid diagnosis of infection with alternative pathogens, such as influenza virus, which are more likely to be the etiological agent in many suspected outbreaks of infection that are investigated during this winter season. Recently, Tsang et al. [16] demonstrated that positive RT-PCR results for nasopharyngeal aspirate samples were independent predictors of mortality, implying that virus loads might also be very useful for prognosis. Thus, quantitative RT-PCR assays may provide useful information for clinical management. It is not possible to predict whether SARS will return. Given the likely existence of an animal reservoir, the reemergence of this disease remains possible. Its reemergence anywhere in the world, especially if it occurs during the winter with the cocirculation of influenza, will put intense pressure on health care services and diagnostic laboratories in many parts of the world. Although one hopes that such an eventuality will not arise, it is sensible to be prepared to meet such a challenge.
  16 in total

1.  Characterization of a novel coronavirus associated with severe acute respiratory syndrome.

Authors:  Paul A Rota; M Steven Oberste; Stephan S Monroe; W Allan Nix; Ray Campagnoli; Joseph P Icenogle; Silvia Peñaranda; Bettina Bankamp; Kaija Maher; Min-Hsin Chen; Suxiong Tong; Azaibi Tamin; Luis Lowe; Michael Frace; Joseph L DeRisi; Qi Chen; David Wang; Dean D Erdman; Teresa C T Peret; Cara Burns; Thomas G Ksiazek; Pierre E Rollin; Anthony Sanchez; Stephanie Liffick; Brian Holloway; Josef Limor; Karen McCaustland; Melissa Olsen-Rasmussen; Ron Fouchier; Stephan Günther; Albert D M E Osterhaus; Christian Drosten; Mark A Pallansch; Larry J Anderson; William J Bellini
Journal:  Science       Date:  2003-05-01       Impact factor: 47.728

2.  Identification of a novel coronavirus in patients with severe acute respiratory syndrome.

Authors:  Christian Drosten; Stephan Günther; Wolfgang Preiser; Sylvie van der Werf; Hans-Reinhard Brodt; Stephan Becker; Holger Rabenau; Marcus Panning; Larissa Kolesnikova; Ron A M Fouchier; Annemarie Berger; Ana-Maria Burguière; Jindrich Cinatl; Markus Eickmann; Nicolas Escriou; Klaus Grywna; Stefanie Kramme; Jean-Claude Manuguerra; Stefanie Müller; Volker Rickerts; Martin Stürmer; Simon Vieth; Hans-Dieter Klenk; Albert D M E Osterhaus; Herbert Schmitz; Hans Wilhelm Doerr
Journal:  N Engl J Med       Date:  2003-04-10       Impact factor: 91.245

3.  A cluster of cases of severe acute respiratory syndrome in Hong Kong.

Authors:  Kenneth W Tsang; Pak L Ho; Gaik C Ooi; Wilson K Yee; Teresa Wang; Moira Chan-Yeung; Wah K Lam; Wing H Seto; Loretta Y Yam; Thomas M Cheung; Poon C Wong; Bing Lam; Mary S Ip; Jane Chan; Kwok Y Yuen; Kar N Lai
Journal:  N Engl J Med       Date:  2003-03-31       Impact factor: 91.245

4.  Isolation and characterization of viruses related to the SARS coronavirus from animals in southern China.

Authors:  Y Guan; B J Zheng; Y Q He; X L Liu; Z X Zhuang; C L Cheung; S W Luo; P H Li; L J Zhang; Y J Guan; K M Butt; K L Wong; K W Chan; W Lim; K F Shortridge; K Y Yuen; J S M Peiris; L L M Poon
Journal:  Science       Date:  2003-09-04       Impact factor: 47.728

5.  Rapid diagnosis of a coronavirus associated with severe acute respiratory syndrome (SARS).

Authors:  Leo L M Poon; On Kei Wong; Kwok Hung Chan; Winsie Luk; Kwok Yung Yuen; Joseph S M Peiris; Yi Guan
Journal:  Clin Chem       Date:  2003-06       Impact factor: 8.327

6.  Coronavirus-positive nasopharyngeal aspirate as predictor for severe acute respiratory syndrome mortality.

Authors:  Owen Tak-Yin Tsang; Tai-Nin Chau; Kin-Wing Choi; Eugene Yuk-Keung Tso; Wilina Lim; Ming-Chi Chiu; Wing-Lok Tong; Po-Oi Lee; Bosco Hoi Shiu Lam; Tak-Keung Ng; Jak-Yiu Lai; Wai-Cho Yu; Sik-To Lai
Journal:  Emerg Infect Dis       Date:  2003-11       Impact factor: 6.883

7.  Early diagnosis of SARS coronavirus infection by real time RT-PCR.

Authors:  Leo L M Poon; Kwok Hung Chan; On Kei Wong; Wing Cheong Yam; Kwok Yung Yuen; Yi Guan; Y M Dennis Lo; Joseph S M Peiris
Journal:  J Clin Virol       Date:  2003-12       Impact factor: 3.168

8.  Newly discovered coronavirus as the primary cause of severe acute respiratory syndrome.

Authors:  Thijs Kuiken; Ron A M Fouchier; Martin Schutten; Guus F Rimmelzwaan; Geert van Amerongen; Debby van Riel; Jon D Laman; Ton de Jong; Gerard van Doornum; Wilina Lim; Ai Ee Ling; Paul K S Chan; John S Tam; Maria C Zambon; Robin Gopal; Christian Drosten; Sylvie van der Werf; Nicolas Escriou; Jean-Claude Manuguerra; Klaus Stöhr; J S Malik Peiris; Albert D M E Osterhaus
Journal:  Lancet       Date:  2003-07-26       Impact factor: 79.321

9.  Sensitive and quantitative detection of severe acute respiratory syndrome coronavirus infection by real-time nested polymerase chain reaction.

Authors:  Shih Sheng Jiang; Tsan-Chi Chen; Jyh-Yuan Yang; Chao A Hsiung; Ih-Jen Su; Ying-Lan Liu; Po-Cheng Chen; Jyh-Lyh Juang
Journal:  Clin Infect Dis       Date:  2003-12-18       Impact factor: 9.079

10.  Aetiology: Koch's postulates fulfilled for SARS virus.

Authors:  Ron A M Fouchier; Thijs Kuiken; Martin Schutten; Geert van Amerongen; Gerard J J van Doornum; Bernadette G van den Hoogen; Malik Peiris; Wilina Lim; Klaus Stöhr; Albert D M E Osterhaus
Journal:  Nature       Date:  2003-05-15       Impact factor: 49.962

View more
  10 in total

1.  Comparison of the NucliSens easyMAG and Qiagen BioRobot 9604 nucleic acid extraction systems for detection of RNA and DNA respiratory viruses in nasopharyngeal aspirate samples.

Authors:  Kwok Hung Chan; Wing Cheong Yam; Chiu Mei Pang; Kit Man Chan; Siu Yan Lam; Kam Fai Lo; Leo L M Poon; J S Malik Peiris
Journal:  J Clin Microbiol       Date:  2008-05-07       Impact factor: 5.948

Review 2.  SARS and other coronaviruses in humans and animals.

Authors:  Leo L M Poon
Journal:  Adv Exp Med Biol       Date:  2006       Impact factor: 2.622

3.  Use of dual TaqMan probes to increase the sensitivity of 1-step quantitative reverse transcription-PCR: application to the detection of SARS coronavirus.

Authors:  Shea Ping Yip; Shing Shun T To; Polly H M Leung; Tsz Shan Cheung; Peter K C Cheng; Wilina W L Lim
Journal:  Clin Chem       Date:  2005-10       Impact factor: 8.327

Review 4.  Clinical picture, diagnosis, treatment and outcome of severe acute respiratory syndrome (SARS) in children.

Authors:  C W Leung; W K Chiu
Journal:  Paediatr Respir Rev       Date:  2004-12       Impact factor: 2.726

5.  Recombinant protein-based ELISA and immuno-cytochemical assay for the diagnosis of SARS.

Authors:  Alessandra Carattoli; Paola Di Bonito; Felicia Grasso; Colomba Giorgi; Francesco Blasi; Matthias Niedrig; Antonio Cassone
Journal:  J Med Virol       Date:  2005-06       Impact factor: 2.327

6.  Proteomic fingerprints for potential application to early diagnosis of severe acute respiratory syndrome.

Authors:  Xixiong Kang; Yang Xu; Xiaoyi Wu; Yong Liang; Chen Wang; Junhua Guo; Yajie Wang; Maohua Chen; Da Wu; Youchun Wang; Shengli Bi; Yan Qiu; Peng Lu; Jing Cheng; Bai Xiao; Liangping Hu; Xing Gao; Jingzhong Liu; Yiping Wang; Yingzhao Song; Liqun Zhang; Fengshuang Suo; Tongyan Chen; Zeyu Huang; Yunzhuan Zhao; Hong Lu; Chunqin Pan; Hong Tang
Journal:  Clin Chem       Date:  2004-11-18       Impact factor: 8.327

7.  Quantitative and sensitive detection of the SARS-CoV spike protein using bispecific monoclonal antibody-based enzyme-linked immunoassay.

Authors:  Hoon H Sunwoo; Arivazhagan Palaniyappan; Advaita Ganguly; Pravin K Bhatnagar; Dipankar Das; Ayman O S El-Kadi; Mavanur R Suresh
Journal:  J Virol Methods       Date:  2012-09-17       Impact factor: 2.014

Review 8.  Severe acute respiratory syndrome from the trenches, at a Singapore university hospital.

Authors:  Paul A Tambyah
Journal:  Lancet Infect Dis       Date:  2004-11       Impact factor: 25.071

Review 9.  SARS: responding to an unknown virus.

Authors:  P A Tambyah
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2004-07-14       Impact factor: 3.267

10.  Coronavirus Infection and Diversity in Bats in the Australasian Region.

Authors:  C S Smith; C E de Jong; J Meers; J Henning; L- F Wang; H E Field
Journal:  Ecohealth       Date:  2016-04-05       Impact factor: 3.184

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.