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Multicenter comparison of nucleic acid extraction methods for detection of severe acute respiratory syndrome coronavirus RNA in stool specimens

Identifieur interne : 000469 ( PascalFrancis/Corpus ); précédent : 000468; suivant : 000470

Multicenter comparison of nucleic acid extraction methods for detection of severe acute respiratory syndrome coronavirus RNA in stool specimens

Auteurs : A. Petrich ; J. Mahony ; S. Chong ; G. Broukhanski ; F. Gharabaghi ; G. Johnson ; L. Louie ; K. Luinstra ; B. Willey ; P. Akhaven ; L. Chui ; F. Jamieson ; M. Louie ; T. Mazzulli ; R. Tellier ; M. Smieja ; W. Cai ; M. Chernesky ; S. E. Richardson

Source :

RBID : Pascal:06-0404132

Descripteurs français

English descriptors

Abstract

The emergence of a novel coronavirus (CoV) as the cause of severe acute respiratory syndrome (SARS) catalyzed the development of rapid diagnostic tests. Stool samples have been shown to be appropriate for diagnostic testing for SARS CoV, although it has been recognized to be a heterogeneous and difficult sample that contains amplification inhibitors. Limited information on the efficiency of extraction methods for the purification and concentration of SARS CoV RNA from stool samples is available. Our study objectives were to determine the optimal extraction method for SARS CoV RNA detection and to examine the effect of increased specimen volume for the detection of SARS CoV RNA in stool specimens. We conducted a multicenter evaluation of four automated and four manual extraction methods using dilutions of viral lysate in replicate mock stool samples, followed by quantitation of SARS CoV RNA using real-time reverse transcriptase PCR. The sensitivities of the manual methods ranged from 50% to 100%, with the Cortex Biochem Magazorb method, a magnetic bead isolation method, allowing detection of all 12 positive samples. The sensitivities of the automated methods ranged from 75% to 100%. The bioMérieux NucliSens automated extractor and miniMag extraction methods each had a sensitivity of 100%. Examination of the copy numbers detected and the generation of 10-fold dilutions of the extracted material indicated that a number of extraction methods retained inhibitory substances that prevented optimal amplification. Increasing the volume of sample input did improve detection. This information could be useful for the extraction of other RNA viruses from stool samples and demonstrates the need to evaluate extraction methods for different specimen types.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

pA  
A01 01  1    @0 0095-1137
A02 01      @0 JCMIDW
A03   1    @0 J. clin. microbiol. : (Print)
A05       @2 44
A06       @2 8
A08 01  1  ENG  @1 Multicenter comparison of nucleic acid extraction methods for detection of severe acute respiratory syndrome coronavirus RNA in stool specimens
A11 01  1    @1 PETRICH (A.)
A11 02  1    @1 MAHONY (J.)
A11 03  1    @1 CHONG (S.)
A11 04  1    @1 BROUKHANSKI (G.)
A11 05  1    @1 GHARABAGHI (F.)
A11 06  1    @1 JOHNSON (G.)
A11 07  1    @1 LOUIE (L.)
A11 08  1    @1 LUINSTRA (K.)
A11 09  1    @1 WILLEY (B.)
A11 10  1    @1 AKHAVEN (P.)
A11 11  1    @1 CHUI (L.)
A11 12  1    @1 JAMIESON (F.)
A11 13  1    @1 LOUIE (M.)
A11 14  1    @1 MAZZULLI (T.)
A11 15  1    @1 TELLIER (R.)
A11 16  1    @1 SMIEJA (M.)
A11 17  1    @1 CAI (W.)
A11 18  1    @1 CHERNESKY (M.)
A11 19  1    @1 RICHARDSON (S. E.)
A14 01      @1 St. Joseph's Hospital @2 Hamilton, Ontario @3 CAN @Z 1 aut. @Z 2 aut. @Z 3 aut. @Z 8 aut. @Z 16 aut. @Z 17 aut. @Z 18 aut.
A14 02      @1 Ontario Ministry of Health @2 Etobicoke, Ontario @3 CAN @Z 4 aut. @Z 12 aut.
A14 03      @1 Hospital for Sick Children @3 CAN @Z 5 aut. @Z 15 aut. @Z 19 aut.
A14 04      @1 St. Michael's Hospital @3 CAN @Z 6 aut.
A14 05      @1 Sunny Brook & WHC HSC @3 CAN @Z 7 aut.
A14 06      @1 Mt. Sinai Hospital @2 Toronto, Ontario @3 CAN @Z 9 aut. @Z 10 aut. @Z 14 aut.
A14 07      @1 Edmonton Public Health Laboratory @2 Edmonton, Alberta @3 CAN @Z 11 aut.
A14 08      @1 Calgary Public Health Laboratory @2 Calgary, Alberta @3 CAN @Z 11 aut.
A14 09      @1 McMaster University @2 Hamilton, Ontario @3 CAN @Z 11 aut.
A14 10      @1 The University of Toronto @2 Toronto, Ontario @3 CAN @Z 13 aut.
A17 01  1    @1 Ontario Laboratory Working Group for the Rapid Diagnosis of Emerging Infections @3 CAN
A20       @1 2681-2688
A21       @1 2006
A23 01      @0 ENG
A43 01      @1 INIST @2 17088 @5 354000133476880020
A44       @0 0000 @1 © 2006 INIST-CNRS. All rights reserved.
A45       @0 12 ref.
A47 01  1    @0 06-0404132
A60       @1 P
A61       @0 A
A64 01  1    @0 Journal of clinical microbiology : (Print)
A66 01      @0 USA
C01 01    ENG  @0 The emergence of a novel coronavirus (CoV) as the cause of severe acute respiratory syndrome (SARS) catalyzed the development of rapid diagnostic tests. Stool samples have been shown to be appropriate for diagnostic testing for SARS CoV, although it has been recognized to be a heterogeneous and difficult sample that contains amplification inhibitors. Limited information on the efficiency of extraction methods for the purification and concentration of SARS CoV RNA from stool samples is available. Our study objectives were to determine the optimal extraction method for SARS CoV RNA detection and to examine the effect of increased specimen volume for the detection of SARS CoV RNA in stool specimens. We conducted a multicenter evaluation of four automated and four manual extraction methods using dilutions of viral lysate in replicate mock stool samples, followed by quantitation of SARS CoV RNA using real-time reverse transcriptase PCR. The sensitivities of the manual methods ranged from 50% to 100%, with the Cortex Biochem Magazorb method, a magnetic bead isolation method, allowing detection of all 12 positive samples. The sensitivities of the automated methods ranged from 75% to 100%. The bioMérieux NucliSens automated extractor and miniMag extraction methods each had a sensitivity of 100%. Examination of the copy numbers detected and the generation of 10-fold dilutions of the extracted material indicated that a number of extraction methods retained inhibitory substances that prevented optimal amplification. Increasing the volume of sample input did improve detection. This information could be useful for the extraction of other RNA viruses from stool samples and demonstrates the need to evaluate extraction methods for different specimen types.
C02 01  X    @0 002A05C10
C02 02  X    @0 002B05
C03 01  X  FRE  @0 Coronavirus @2 NW @5 01
C03 01  X  ENG  @0 Coronavirus @2 NW @5 01
C03 01  X  SPA  @0 Coronavirus @2 NW @5 01
C03 02  X  FRE  @0 Acide nucléique @5 05
C03 02  X  ENG  @0 Nucleic acid @5 05
C03 02  X  SPA  @0 Acido nucleico @5 05
C03 03  X  FRE  @0 Méthode @5 06
C03 03  X  ENG  @0 Method @5 06
C03 03  X  SPA  @0 Método @5 06
C03 04  X  FRE  @0 Détection @5 07
C03 04  X  ENG  @0 Detection @5 07
C03 04  X  SPA  @0 Detección @5 07
C03 05  X  FRE  @0 Fèces @5 08
C03 05  X  ENG  @0 Feces @5 08
C03 05  X  SPA  @0 Heces @5 08
C03 06  X  FRE  @0 Microbiologie @5 09
C03 06  X  ENG  @0 Microbiology @5 09
C03 06  X  SPA  @0 Microbiología @5 09
C03 07  X  FRE  @0 Syndrome respiratoire aigu sévère @2 NM @5 14
C03 07  X  ENG  @0 Severe acute respiratory syndrome @2 NM @5 14
C03 07  X  SPA  @0 Síndrome respiratorio agudo severo @2 NM @5 14
C07 01  X  FRE  @0 Coronaviridae @2 NW
C07 01  X  ENG  @0 Coronaviridae @2 NW
C07 01  X  SPA  @0 Coronaviridae @2 NW
C07 02  X  FRE  @0 Nidovirales @2 NW
C07 02  X  ENG  @0 Nidovirales @2 NW
C07 02  X  SPA  @0 Nidovirales @2 NW
C07 03  X  FRE  @0 Virus @2 NW
C07 03  X  ENG  @0 Virus @2 NW
C07 03  X  SPA  @0 Virus @2 NW
C07 04  X  FRE  @0 Appareil respiratoire pathologie @5 13
C07 04  X  ENG  @0 Respiratory disease @5 13
C07 04  X  SPA  @0 Aparato respiratorio patología @5 13
C07 05  X  FRE  @0 Virose
C07 05  X  ENG  @0 Viral disease
C07 05  X  SPA  @0 Virosis
C07 06  X  FRE  @0 Infection
C07 06  X  ENG  @0 Infection
C07 06  X  SPA  @0 Infección
C07 07  X  FRE  @0 Poumon pathologie @5 16
C07 07  X  ENG  @0 Lung disease @5 16
C07 07  X  SPA  @0 Pulmón patología @5 16
N21       @1 268
N44 01      @1 OTO
N82       @1 OTO

Format Inist (serveur)

NO : PASCAL 06-0404132 INIST
ET : Multicenter comparison of nucleic acid extraction methods for detection of severe acute respiratory syndrome coronavirus RNA in stool specimens
AU : PETRICH (A.); MAHONY (J.); CHONG (S.); BROUKHANSKI (G.); GHARABAGHI (F.); JOHNSON (G.); LOUIE (L.); LUINSTRA (K.); WILLEY (B.); AKHAVEN (P.); CHUI (L.); JAMIESON (F.); LOUIE (M.); MAZZULLI (T.); TELLIER (R.); SMIEJA (M.); CAI (W.); CHERNESKY (M.); RICHARDSON (S. E.)
AF : St. Joseph's Hospital/Hamilton, Ontario/Canada (1 aut., 2 aut., 3 aut., 8 aut., 16 aut., 17 aut., 18 aut.); Ontario Ministry of Health/Etobicoke, Ontario/Canada (4 aut., 12 aut.); Hospital for Sick Children/Canada (5 aut., 15 aut., 19 aut.); St. Michael's Hospital/Canada (6 aut.); Sunny Brook & WHC HSC/Canada (7 aut.); Mt. Sinai Hospital/Toronto, Ontario/Canada (9 aut., 10 aut., 14 aut.); Edmonton Public Health Laboratory/Edmonton, Alberta/Canada (11 aut.); Calgary Public Health Laboratory/Calgary, Alberta/Canada (11 aut.); McMaster University/Hamilton, Ontario/Canada (11 aut.); The University of Toronto/Toronto, Ontario/Canada (13 aut.)
DT : Publication en série; Niveau analytique
SO : Journal of clinical microbiology : (Print); ISSN 0095-1137; Coden JCMIDW; Etats-Unis; Da. 2006; Vol. 44; No. 8; Pp. 2681-2688; Bibl. 12 ref.
LA : Anglais
EA : The emergence of a novel coronavirus (CoV) as the cause of severe acute respiratory syndrome (SARS) catalyzed the development of rapid diagnostic tests. Stool samples have been shown to be appropriate for diagnostic testing for SARS CoV, although it has been recognized to be a heterogeneous and difficult sample that contains amplification inhibitors. Limited information on the efficiency of extraction methods for the purification and concentration of SARS CoV RNA from stool samples is available. Our study objectives were to determine the optimal extraction method for SARS CoV RNA detection and to examine the effect of increased specimen volume for the detection of SARS CoV RNA in stool specimens. We conducted a multicenter evaluation of four automated and four manual extraction methods using dilutions of viral lysate in replicate mock stool samples, followed by quantitation of SARS CoV RNA using real-time reverse transcriptase PCR. The sensitivities of the manual methods ranged from 50% to 100%, with the Cortex Biochem Magazorb method, a magnetic bead isolation method, allowing detection of all 12 positive samples. The sensitivities of the automated methods ranged from 75% to 100%. The bioMérieux NucliSens automated extractor and miniMag extraction methods each had a sensitivity of 100%. Examination of the copy numbers detected and the generation of 10-fold dilutions of the extracted material indicated that a number of extraction methods retained inhibitory substances that prevented optimal amplification. Increasing the volume of sample input did improve detection. This information could be useful for the extraction of other RNA viruses from stool samples and demonstrates the need to evaluate extraction methods for different specimen types.
CC : 002A05C10; 002B05
FD : Coronavirus; Acide nucléique; Méthode; Détection; Fèces; Microbiologie; Syndrome respiratoire aigu sévère
FG : Coronaviridae; Nidovirales; Virus; Appareil respiratoire pathologie; Virose; Infection; Poumon pathologie
ED : Coronavirus; Nucleic acid; Method; Detection; Feces; Microbiology; Severe acute respiratory syndrome
EG : Coronaviridae; Nidovirales; Virus; Respiratory disease; Viral disease; Infection; Lung disease
SD : Coronavirus; Acido nucleico; Método; Detección; Heces; Microbiología; Síndrome respiratorio agudo severo
LO : INIST-17088.354000133476880020
ID : 06-0404132

Links to Exploration step

Pascal:06-0404132

Le document en format XML

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<title level="j" type="main">Journal of clinical microbiology : (Print)</title>
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<div type="abstract" xml:lang="en">The emergence of a novel coronavirus (CoV) as the cause of severe acute respiratory syndrome (SARS) catalyzed the development of rapid diagnostic tests. Stool samples have been shown to be appropriate for diagnostic testing for SARS CoV, although it has been recognized to be a heterogeneous and difficult sample that contains amplification inhibitors. Limited information on the efficiency of extraction methods for the purification and concentration of SARS CoV RNA from stool samples is available. Our study objectives were to determine the optimal extraction method for SARS CoV RNA detection and to examine the effect of increased specimen volume for the detection of SARS CoV RNA in stool specimens. We conducted a multicenter evaluation of four automated and four manual extraction methods using dilutions of viral lysate in replicate mock stool samples, followed by quantitation of SARS CoV RNA using real-time reverse transcriptase PCR. The sensitivities of the manual methods ranged from 50% to 100%, with the Cortex Biochem Magazorb method, a magnetic bead isolation method, allowing detection of all 12 positive samples. The sensitivities of the automated methods ranged from 75% to 100%. The bioMérieux NucliSens automated extractor and miniMag extraction methods each had a sensitivity of 100%. Examination of the copy numbers detected and the generation of 10-fold dilutions of the extracted material indicated that a number of extraction methods retained inhibitory substances that prevented optimal amplification. Increasing the volume of sample input did improve detection. This information could be useful for the extraction of other RNA viruses from stool samples and demonstrates the need to evaluate extraction methods for different specimen types.</div>
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<NO>PASCAL 06-0404132 INIST</NO>
<ET>Multicenter comparison of nucleic acid extraction methods for detection of severe acute respiratory syndrome coronavirus RNA in stool specimens</ET>
<AU>PETRICH (A.); MAHONY (J.); CHONG (S.); BROUKHANSKI (G.); GHARABAGHI (F.); JOHNSON (G.); LOUIE (L.); LUINSTRA (K.); WILLEY (B.); AKHAVEN (P.); CHUI (L.); JAMIESON (F.); LOUIE (M.); MAZZULLI (T.); TELLIER (R.); SMIEJA (M.); CAI (W.); CHERNESKY (M.); RICHARDSON (S. E.)</AU>
<AF>St. Joseph's Hospital/Hamilton, Ontario/Canada (1 aut., 2 aut., 3 aut., 8 aut., 16 aut., 17 aut., 18 aut.); Ontario Ministry of Health/Etobicoke, Ontario/Canada (4 aut., 12 aut.); Hospital for Sick Children/Canada (5 aut., 15 aut., 19 aut.); St. Michael's Hospital/Canada (6 aut.); Sunny Brook & WHC HSC/Canada (7 aut.); Mt. Sinai Hospital/Toronto, Ontario/Canada (9 aut., 10 aut., 14 aut.); Edmonton Public Health Laboratory/Edmonton, Alberta/Canada (11 aut.); Calgary Public Health Laboratory/Calgary, Alberta/Canada (11 aut.); McMaster University/Hamilton, Ontario/Canada (11 aut.); The University of Toronto/Toronto, Ontario/Canada (13 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Journal of clinical microbiology : (Print); ISSN 0095-1137; Coden JCMIDW; Etats-Unis; Da. 2006; Vol. 44; No. 8; Pp. 2681-2688; Bibl. 12 ref.</SO>
<LA>Anglais</LA>
<EA>The emergence of a novel coronavirus (CoV) as the cause of severe acute respiratory syndrome (SARS) catalyzed the development of rapid diagnostic tests. Stool samples have been shown to be appropriate for diagnostic testing for SARS CoV, although it has been recognized to be a heterogeneous and difficult sample that contains amplification inhibitors. Limited information on the efficiency of extraction methods for the purification and concentration of SARS CoV RNA from stool samples is available. Our study objectives were to determine the optimal extraction method for SARS CoV RNA detection and to examine the effect of increased specimen volume for the detection of SARS CoV RNA in stool specimens. We conducted a multicenter evaluation of four automated and four manual extraction methods using dilutions of viral lysate in replicate mock stool samples, followed by quantitation of SARS CoV RNA using real-time reverse transcriptase PCR. The sensitivities of the manual methods ranged from 50% to 100%, with the Cortex Biochem Magazorb method, a magnetic bead isolation method, allowing detection of all 12 positive samples. The sensitivities of the automated methods ranged from 75% to 100%. The bioMérieux NucliSens automated extractor and miniMag extraction methods each had a sensitivity of 100%. Examination of the copy numbers detected and the generation of 10-fold dilutions of the extracted material indicated that a number of extraction methods retained inhibitory substances that prevented optimal amplification. Increasing the volume of sample input did improve detection. This information could be useful for the extraction of other RNA viruses from stool samples and demonstrates the need to evaluate extraction methods for different specimen types.</EA>
<CC>002A05C10; 002B05</CC>
<FD>Coronavirus; Acide nucléique; Méthode; Détection; Fèces; Microbiologie; Syndrome respiratoire aigu sévère</FD>
<FG>Coronaviridae; Nidovirales; Virus; Appareil respiratoire pathologie; Virose; Infection; Poumon pathologie</FG>
<ED>Coronavirus; Nucleic acid; Method; Detection; Feces; Microbiology; Severe acute respiratory syndrome</ED>
<EG>Coronaviridae; Nidovirales; Virus; Respiratory disease; Viral disease; Infection; Lung disease</EG>
<SD>Coronavirus; Acido nucleico; Método; Detección; Heces; Microbiología; Síndrome respiratorio agudo severo</SD>
<LO>INIST-17088.354000133476880020</LO>
<ID>06-0404132</ID>
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