Simultaneous detection of chikungunya virus, dengue virus and human pathogenic Leptospira genomes using a multiplex TaqMan® assay View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-12

AUTHORS

Claude Giry, Bénédicte Roquebert, Ghislaine Li-Pat-Yuen, Philippe Gasque, Marie-Christine Jaffar-Bandjee

ABSTRACT

BACKGROUND: In 2005-2006 a major epidemics of Chikungunya disease occurred in South-West Indian Ocean islands. In Reunion Island, the magnitude of Chikungunya infection related symptoms was high and with over 38% of serological prevalence in the population. This epidemics illustrated the potential threat of emerging arboviral diseases for inhabitants of Reunion Island and elsewhere since vectors are worldwide distributed. A sentinel surveillance network was set-up to detect emerging pathogens associated with fever over 38 °C and in the absence of known etiologic causes. Leptospirosis is caused by a pathogenic spirochete of the Leptospira genus and is an endemic and recurrent seasonal disease of great concern in Reunion Island. To accurately diagnose potentially infected patients and to advise Health authorities on the presence of emerging pathogens, a rapid diagnostic test was needed that could differentiate between these 3 pathogens. METHODS: A one-step multiplex real-time PCR assay was developed that can simultaneously detect RNA of Chikungunya and Dengue viruses and leptospiral DNA with good performance for a routine diagnostic use. RESULTS: Simplex protocols already published were used with key modifications to implement a triplex assay which was set-up with a small reaction volume to improve cost efficiency. CONCLUSIONS: This approach has enabled greater diagnostic capacity in our laboratory. We established a multiplex approach validated and valuable for cost savings, and with the concurrent detection of 3 pathogens of public health concern. More... »

PAGES

105

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12866-017-1019-1

DOI

http://dx.doi.org/10.1186/s12866-017-1019-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084956824

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28468604


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1108", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical Microbiology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chikungunya Fever", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chikungunya virus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA, Bacterial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Dengue", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Dengue Virus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genome, Bacterial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genome, Viral", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Leptospira", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Leptospirosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Multiplex Polymerase Chain Reaction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pathology, Molecular", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "RNA, Viral", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Alignment", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Eurofins (France)", 
          "id": "https://www.grid.ac/institutes/grid.50125.33", 
          "name": [
            "Centre National Arbovirus Associ\u00e9, CHU de la R\u00e9union-Site Nord, Saint-Denis, R\u00e9union, France", 
            "Laboratoire de microbiologie et, CHU de la R\u00e9union-Site Nord, Saint-Denis, R\u00e9union, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Giry", 
        "givenName": "Claude", 
        "id": "sg:person.01155620775.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155620775.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of La R\u00e9union", 
          "id": "https://www.grid.ac/institutes/grid.11642.30", 
          "name": [
            "Centre National Arbovirus Associ\u00e9, CHU de la R\u00e9union-Site Nord, Saint-Denis, R\u00e9union, France", 
            "Laboratoire de microbiologie et, CHU de la R\u00e9union-Site Nord, Saint-Denis, R\u00e9union, France", 
            "UMR PIMIT, Processus Infectieux en Milieu Insulaire Tropical, Universit\u00e9 de la R\u00e9union, INSERM 1187, CNRS 9192, IRD 249, Saint-Denis, R\u00e9union, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roquebert", 
        "givenName": "B\u00e9n\u00e9dicte", 
        "id": "sg:person.0722154004.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722154004.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Eurofins (France)", 
          "id": "https://www.grid.ac/institutes/grid.50125.33", 
          "name": [
            "Centre National Arbovirus Associ\u00e9, CHU de la R\u00e9union-Site Nord, Saint-Denis, R\u00e9union, France", 
            "Laboratoire de microbiologie et, CHU de la R\u00e9union-Site Nord, Saint-Denis, R\u00e9union, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li-Pat-Yuen", 
        "givenName": "Ghislaine", 
        "id": "sg:person.0641561522.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641561522.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of La R\u00e9union", 
          "id": "https://www.grid.ac/institutes/grid.11642.30", 
          "name": [
            "Laboratoire d\u2019immunologie clinique et exp\u00e9rimentale ZOI (LICE-OI), CHU de la R\u00e9union-Site Nord, Saint-Denis, R\u00e9union, France", 
            "UMR PIMIT, Processus Infectieux en Milieu Insulaire Tropical, Universit\u00e9 de la R\u00e9union, INSERM 1187, CNRS 9192, IRD 249, Saint-Denis, R\u00e9union, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gasque", 
        "givenName": "Philippe", 
        "id": "sg:person.01067547117.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067547117.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of La R\u00e9union", 
          "id": "https://www.grid.ac/institutes/grid.11642.30", 
          "name": [
            "Centre National Arbovirus Associ\u00e9, CHU de la R\u00e9union-Site Nord, Saint-Denis, R\u00e9union, France", 
            "Laboratoire de microbiologie et, CHU de la R\u00e9union-Site Nord, Saint-Denis, R\u00e9union, France", 
            "Laboratoire d\u2019immunologie clinique et exp\u00e9rimentale ZOI (LICE-OI), CHU de la R\u00e9union-Site Nord, Saint-Denis, R\u00e9union, France", 
            "UMR PIMIT, Processus Infectieux en Milieu Insulaire Tropical, Universit\u00e9 de la R\u00e9union, INSERM 1187, CNRS 9192, IRD 249, Saint-Denis, R\u00e9union, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jaffar-Bandjee", 
        "givenName": "Marie-Christine", 
        "id": "sg:person.01347224447.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347224447.67"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jmii.2013.03.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003360288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jviromet.2013.07.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003890402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jviromet.2009.03.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005875458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.39.11.4119-4124.2001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008621038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12038-008-0079-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011042185", 
          "https://doi.org/10.1007/s12038-008-0079-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12038-008-0079-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011042185", 
          "https://doi.org/10.1007/s12038-008-0079-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.medmal.2014.11.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011426457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4049/jimmunol.0900255", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014482043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkr859", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016911031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/cmr.14.2.296-326.2001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018368882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12879-015-1226-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029839874", 
          "https://doi.org/10.1186/s12879-015-1226-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.12688/f1000research.7171.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031520455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.12688/f1000research.7171.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031520455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.00341-14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032707949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pntd.0003416", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032903671"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pntd.0002996", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033766661"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkm234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035637419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13149-010-0114-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036016546", 
          "https://doi.org/10.1007/s13149-010-0114-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4269/ajtmh.2012.11-0346", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038481535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jviromet.2004.11.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038591882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12879-015-0877-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039957814", 
          "https://doi.org/10.1186/s12879-015-0877-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12879-015-0877-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039957814", 
          "https://doi.org/10.1186/s12879-015-0877-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmoldx.2015.06.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040787943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1297-9716-44-80", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042741223", 
          "https://doi.org/10.1186/1297-9716-44-80"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcv.2009.02.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043114940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pntd.0004664", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045630047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12879-016-1417-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049397163", 
          "https://doi.org/10.1186/s12879-016-1417-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pmed.0030263", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051303938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/vir.0.071175-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060399667"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082632477", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083184666", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/cmr.11.3.480", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083291657"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-12", 
    "datePublishedReg": "2017-12-01", 
    "description": "BACKGROUND: In 2005-2006 a major epidemics of Chikungunya disease occurred in South-West Indian Ocean islands. In Reunion Island, the magnitude of Chikungunya infection related symptoms was high and with over 38% of serological prevalence in the population. This epidemics illustrated the potential threat of emerging arboviral diseases for inhabitants of Reunion Island and elsewhere since vectors are worldwide distributed. A sentinel surveillance network was set-up to detect emerging pathogens associated with fever over 38\u00a0\u00b0C and in the absence of known etiologic causes. Leptospirosis is caused by a pathogenic spirochete of the Leptospira genus and is an endemic and recurrent seasonal disease of great concern in Reunion Island. To accurately diagnose potentially infected patients and to advise Health authorities on the presence of emerging pathogens, a rapid diagnostic test was needed that could differentiate between these 3 pathogens.\nMETHODS: A one-step multiplex real-time PCR assay was developed that can simultaneously detect RNA of Chikungunya and Dengue viruses and leptospiral DNA with good performance for a routine diagnostic use.\nRESULTS: Simplex protocols already published were used with key modifications to implement a triplex assay which was set-up with a small reaction volume to improve cost efficiency.\nCONCLUSIONS: This approach has enabled greater diagnostic capacity in our laboratory. We established a multiplex approach validated and valuable for cost savings, and with the concurrent detection of 3 pathogens of public health concern.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12866-017-1019-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024253", 
        "issn": [
          "1471-2180"
        ], 
        "name": "BMC Microbiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "name": "Simultaneous detection of chikungunya virus, dengue virus and human pathogenic Leptospira genomes using a multiplex TaqMan\u00ae assay", 
    "pagination": "105", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4b32180f857221c88e6e6a11cd78b9ff1d0220caf83d5ea3bac29957da003642"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28468604"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100966981"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12866-017-1019-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1084956824"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12866-017-1019-1", 
      "https://app.dimensions.ai/details/publication/pub.1084956824"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:56", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000347_0000000347/records_89804_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12866-017-1019-1"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12866-017-1019-1'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12866-017-1019-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12866-017-1019-1'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12866-017-1019-1'


 

This table displays all metadata directly associated to this object as RDF triples.

254 TRIPLES      21 PREDICATES      73 URIs      36 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12866-017-1019-1 schema:about N04dd8df1dccb4afab72444f4cc50be14
2 N0b5d741dbbf14f39bd2fb74e3d343236
3 N1a1023ebefe44696b76db9d28acd4ab1
4 N21f2e54c5b8040fd889ce7d841a0f02e
5 N2db454cd59aa4caa9875cf03fb63ed00
6 N3ec30b8599b84eb6a2bb3f3b4ea38525
7 N42b42eeb968f4988abea82f8127ced15
8 N60efdf6ea4b046b481facaa46cad6933
9 N6ae72f4a0cea441d838fcf8c11f63f59
10 N85812967f5884292a93981f6226fd525
11 N8b83d314297940f1bb8b900dac3bc5b9
12 N9b840ac7721247b7abb74c8f49342142
13 N9c3857f446844e159c1d999481aa2ecf
14 Na18422c17bdc4cbf9ec8947d0e00c28f
15 Na23e8cd69b36446e858600bb65212b98
16 anzsrc-for:11
17 anzsrc-for:1108
18 schema:author N2aaac88e3d454994b1a7bb4c255876cd
19 schema:citation sg:pub.10.1007/s12038-008-0079-7
20 sg:pub.10.1007/s13149-010-0114-4
21 sg:pub.10.1186/1297-9716-44-80
22 sg:pub.10.1186/s12879-015-0877-0
23 sg:pub.10.1186/s12879-015-1226-z
24 sg:pub.10.1186/s12879-016-1417-2
25 https://app.dimensions.ai/details/publication/pub.1082632477
26 https://app.dimensions.ai/details/publication/pub.1083184666
27 https://doi.org/10.1016/j.jcv.2009.02.010
28 https://doi.org/10.1016/j.jmii.2013.03.001
29 https://doi.org/10.1016/j.jmoldx.2015.06.008
30 https://doi.org/10.1016/j.jviromet.2004.11.002
31 https://doi.org/10.1016/j.jviromet.2009.03.006
32 https://doi.org/10.1016/j.jviromet.2013.07.029
33 https://doi.org/10.1016/j.medmal.2014.11.004
34 https://doi.org/10.1093/nar/gkm234
35 https://doi.org/10.1093/nar/gkr859
36 https://doi.org/10.1099/vir.0.071175-0
37 https://doi.org/10.1128/cmr.11.3.480
38 https://doi.org/10.1128/cmr.14.2.296-326.2001
39 https://doi.org/10.1128/jcm.00341-14
40 https://doi.org/10.1128/jcm.39.11.4119-4124.2001
41 https://doi.org/10.12688/f1000research.7171.1
42 https://doi.org/10.1371/journal.pmed.0030263
43 https://doi.org/10.1371/journal.pntd.0002996
44 https://doi.org/10.1371/journal.pntd.0003416
45 https://doi.org/10.1371/journal.pntd.0004664
46 https://doi.org/10.4049/jimmunol.0900255
47 https://doi.org/10.4269/ajtmh.2012.11-0346
48 schema:datePublished 2017-12
49 schema:datePublishedReg 2017-12-01
50 schema:description BACKGROUND: In 2005-2006 a major epidemics of Chikungunya disease occurred in South-West Indian Ocean islands. In Reunion Island, the magnitude of Chikungunya infection related symptoms was high and with over 38% of serological prevalence in the population. This epidemics illustrated the potential threat of emerging arboviral diseases for inhabitants of Reunion Island and elsewhere since vectors are worldwide distributed. A sentinel surveillance network was set-up to detect emerging pathogens associated with fever over 38 °C and in the absence of known etiologic causes. Leptospirosis is caused by a pathogenic spirochete of the Leptospira genus and is an endemic and recurrent seasonal disease of great concern in Reunion Island. To accurately diagnose potentially infected patients and to advise Health authorities on the presence of emerging pathogens, a rapid diagnostic test was needed that could differentiate between these 3 pathogens. METHODS: A one-step multiplex real-time PCR assay was developed that can simultaneously detect RNA of Chikungunya and Dengue viruses and leptospiral DNA with good performance for a routine diagnostic use. RESULTS: Simplex protocols already published were used with key modifications to implement a triplex assay which was set-up with a small reaction volume to improve cost efficiency. CONCLUSIONS: This approach has enabled greater diagnostic capacity in our laboratory. We established a multiplex approach validated and valuable for cost savings, and with the concurrent detection of 3 pathogens of public health concern.
51 schema:genre research_article
52 schema:inLanguage en
53 schema:isAccessibleForFree true
54 schema:isPartOf N2416f12fb5424b7fb2b8e45eac5b48e3
55 N8f90b87554de4fd39242903bc5e50b85
56 sg:journal.1024253
57 schema:name Simultaneous detection of chikungunya virus, dengue virus and human pathogenic Leptospira genomes using a multiplex TaqMan® assay
58 schema:pagination 105
59 schema:productId N340a9958377d423aa78e72af2a70977b
60 N3f4339e72d6148668f0d374bb93ec301
61 N61ae0d7626524463a8dd391fd9667877
62 Na89444b4c7e4413a9c57f7d4ef0506dd
63 Necac122dafe2465b95a7fbc94a3cf506
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084956824
65 https://doi.org/10.1186/s12866-017-1019-1
66 schema:sdDatePublished 2019-04-11T09:56
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher Nae08374b46024727a897dd484523a34e
69 schema:url https://link.springer.com/10.1186%2Fs12866-017-1019-1
70 sgo:license sg:explorer/license/
71 sgo:sdDataset articles
72 rdf:type schema:ScholarlyArticle
73 N04dd8df1dccb4afab72444f4cc50be14 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name RNA, Viral
75 rdf:type schema:DefinedTerm
76 N0b5d741dbbf14f39bd2fb74e3d343236 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Sequence Alignment
78 rdf:type schema:DefinedTerm
79 N1a1023ebefe44696b76db9d28acd4ab1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Genome, Bacterial
81 rdf:type schema:DefinedTerm
82 N21f2e54c5b8040fd889ce7d841a0f02e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Leptospirosis
84 rdf:type schema:DefinedTerm
85 N2416f12fb5424b7fb2b8e45eac5b48e3 schema:volumeNumber 17
86 rdf:type schema:PublicationVolume
87 N2aaac88e3d454994b1a7bb4c255876cd rdf:first sg:person.01155620775.48
88 rdf:rest N4e7065cda15b4ff0a8f92e7c36d055ea
89 N2db454cd59aa4caa9875cf03fb63ed00 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Chikungunya Fever
91 rdf:type schema:DefinedTerm
92 N340a9958377d423aa78e72af2a70977b schema:name readcube_id
93 schema:value 4b32180f857221c88e6e6a11cd78b9ff1d0220caf83d5ea3bac29957da003642
94 rdf:type schema:PropertyValue
95 N3ec30b8599b84eb6a2bb3f3b4ea38525 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Leptospira
97 rdf:type schema:DefinedTerm
98 N3f4339e72d6148668f0d374bb93ec301 schema:name dimensions_id
99 schema:value pub.1084956824
100 rdf:type schema:PropertyValue
101 N42b42eeb968f4988abea82f8127ced15 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Dengue Virus
103 rdf:type schema:DefinedTerm
104 N4e7065cda15b4ff0a8f92e7c36d055ea rdf:first sg:person.0722154004.62
105 rdf:rest Na0be1dd283f6494a8861c7dc3191fb1b
106 N60efdf6ea4b046b481facaa46cad6933 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Sensitivity and Specificity
108 rdf:type schema:DefinedTerm
109 N61ae0d7626524463a8dd391fd9667877 schema:name nlm_unique_id
110 schema:value 100966981
111 rdf:type schema:PropertyValue
112 N6ae72f4a0cea441d838fcf8c11f63f59 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Multiplex Polymerase Chain Reaction
114 rdf:type schema:DefinedTerm
115 N85812967f5884292a93981f6226fd525 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Dengue
117 rdf:type schema:DefinedTerm
118 N8b83d314297940f1bb8b900dac3bc5b9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Pathology, Molecular
120 rdf:type schema:DefinedTerm
121 N8f90b87554de4fd39242903bc5e50b85 schema:issueNumber 1
122 rdf:type schema:PublicationIssue
123 N9b840ac7721247b7abb74c8f49342142 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Genome, Viral
125 rdf:type schema:DefinedTerm
126 N9c3857f446844e159c1d999481aa2ecf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Chikungunya virus
128 rdf:type schema:DefinedTerm
129 Na0be1dd283f6494a8861c7dc3191fb1b rdf:first sg:person.0641561522.60
130 rdf:rest Ncd1e1337398542cfb6b2b75fb9d1caf0
131 Na18422c17bdc4cbf9ec8947d0e00c28f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Humans
133 rdf:type schema:DefinedTerm
134 Na23e8cd69b36446e858600bb65212b98 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name DNA, Bacterial
136 rdf:type schema:DefinedTerm
137 Na89444b4c7e4413a9c57f7d4ef0506dd schema:name doi
138 schema:value 10.1186/s12866-017-1019-1
139 rdf:type schema:PropertyValue
140 Nae08374b46024727a897dd484523a34e schema:name Springer Nature - SN SciGraph project
141 rdf:type schema:Organization
142 Ncd1e1337398542cfb6b2b75fb9d1caf0 rdf:first sg:person.01067547117.00
143 rdf:rest Nfc64def5fb7f42e4982564c91cd92d20
144 Necac122dafe2465b95a7fbc94a3cf506 schema:name pubmed_id
145 schema:value 28468604
146 rdf:type schema:PropertyValue
147 Nfc64def5fb7f42e4982564c91cd92d20 rdf:first sg:person.01347224447.67
148 rdf:rest rdf:nil
149 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
150 schema:name Medical and Health Sciences
151 rdf:type schema:DefinedTerm
152 anzsrc-for:1108 schema:inDefinedTermSet anzsrc-for:
153 schema:name Medical Microbiology
154 rdf:type schema:DefinedTerm
155 sg:journal.1024253 schema:issn 1471-2180
156 schema:name BMC Microbiology
157 rdf:type schema:Periodical
158 sg:person.01067547117.00 schema:affiliation https://www.grid.ac/institutes/grid.11642.30
159 schema:familyName Gasque
160 schema:givenName Philippe
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067547117.00
162 rdf:type schema:Person
163 sg:person.01155620775.48 schema:affiliation https://www.grid.ac/institutes/grid.50125.33
164 schema:familyName Giry
165 schema:givenName Claude
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155620775.48
167 rdf:type schema:Person
168 sg:person.01347224447.67 schema:affiliation https://www.grid.ac/institutes/grid.11642.30
169 schema:familyName Jaffar-Bandjee
170 schema:givenName Marie-Christine
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347224447.67
172 rdf:type schema:Person
173 sg:person.0641561522.60 schema:affiliation https://www.grid.ac/institutes/grid.50125.33
174 schema:familyName Li-Pat-Yuen
175 schema:givenName Ghislaine
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641561522.60
177 rdf:type schema:Person
178 sg:person.0722154004.62 schema:affiliation https://www.grid.ac/institutes/grid.11642.30
179 schema:familyName Roquebert
180 schema:givenName Bénédicte
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722154004.62
182 rdf:type schema:Person
183 sg:pub.10.1007/s12038-008-0079-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011042185
184 https://doi.org/10.1007/s12038-008-0079-7
185 rdf:type schema:CreativeWork
186 sg:pub.10.1007/s13149-010-0114-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036016546
187 https://doi.org/10.1007/s13149-010-0114-4
188 rdf:type schema:CreativeWork
189 sg:pub.10.1186/1297-9716-44-80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042741223
190 https://doi.org/10.1186/1297-9716-44-80
191 rdf:type schema:CreativeWork
192 sg:pub.10.1186/s12879-015-0877-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039957814
193 https://doi.org/10.1186/s12879-015-0877-0
194 rdf:type schema:CreativeWork
195 sg:pub.10.1186/s12879-015-1226-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1029839874
196 https://doi.org/10.1186/s12879-015-1226-z
197 rdf:type schema:CreativeWork
198 sg:pub.10.1186/s12879-016-1417-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049397163
199 https://doi.org/10.1186/s12879-016-1417-2
200 rdf:type schema:CreativeWork
201 https://app.dimensions.ai/details/publication/pub.1082632477 schema:CreativeWork
202 https://app.dimensions.ai/details/publication/pub.1083184666 schema:CreativeWork
203 https://doi.org/10.1016/j.jcv.2009.02.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043114940
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1016/j.jmii.2013.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003360288
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1016/j.jmoldx.2015.06.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040787943
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1016/j.jviromet.2004.11.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038591882
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/j.jviromet.2009.03.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005875458
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/j.jviromet.2013.07.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003890402
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1016/j.medmal.2014.11.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011426457
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1093/nar/gkm234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035637419
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1093/nar/gkr859 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016911031
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1099/vir.0.071175-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060399667
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1128/cmr.11.3.480 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083291657
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1128/cmr.14.2.296-326.2001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018368882
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1128/jcm.00341-14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032707949
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1128/jcm.39.11.4119-4124.2001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008621038
230 rdf:type schema:CreativeWork
231 https://doi.org/10.12688/f1000research.7171.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031520455
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1371/journal.pmed.0030263 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051303938
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1371/journal.pntd.0002996 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033766661
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1371/journal.pntd.0003416 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032903671
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1371/journal.pntd.0004664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045630047
240 rdf:type schema:CreativeWork
241 https://doi.org/10.4049/jimmunol.0900255 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014482043
242 rdf:type schema:CreativeWork
243 https://doi.org/10.4269/ajtmh.2012.11-0346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038481535
244 rdf:type schema:CreativeWork
245 https://www.grid.ac/institutes/grid.11642.30 schema:alternateName University of La Réunion
246 schema:name Centre National Arbovirus Associé, CHU de la Réunion-Site Nord, Saint-Denis, Réunion, France
247 Laboratoire de microbiologie et, CHU de la Réunion-Site Nord, Saint-Denis, Réunion, France
248 Laboratoire d’immunologie clinique et expérimentale ZOI (LICE-OI), CHU de la Réunion-Site Nord, Saint-Denis, Réunion, France
249 UMR PIMIT, Processus Infectieux en Milieu Insulaire Tropical, Université de la Réunion, INSERM 1187, CNRS 9192, IRD 249, Saint-Denis, Réunion, France
250 rdf:type schema:Organization
251 https://www.grid.ac/institutes/grid.50125.33 schema:alternateName Eurofins (France)
252 schema:name Centre National Arbovirus Associé, CHU de la Réunion-Site Nord, Saint-Denis, Réunion, France
253 Laboratoire de microbiologie et, CHU de la Réunion-Site Nord, Saint-Denis, Réunion, France
254 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...