Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/34589

Full metadata record
DC FieldValueLanguage
dc.contributor.authorMachado, Antóniopor
dc.contributor.authorCastro, J.por
dc.contributor.authorCereija, Tatiana Barros Reispor
dc.contributor.authorAlmeida, Carinapor
dc.contributor.authorCerca, Nunopor
dc.date.accessioned2015-03-27T14:30:12Z-
dc.date.available2015-03-27T14:30:12Z-
dc.date.issued2015-02-17-
dc.identifier.citationMachado, António; Castro, Joana; Cereija, T. B.; Almeida, Carina; Cerca, Nuno, Diagnosis of bacterial vaginosis by a new multiplex peptide nucleic acid uorescence in situ hybridization method. PeerJ, 3(e780), 1-12, 2015por
dc.identifier.issn2167-8359por
dc.identifier.urihttp://hdl.handle.net/1822/34589-
dc.description.abstractBacterial vaginosis (BV) is one of most common vaginal infections. However, its diagnosis by classical methods reveals low specificity. Our goal was to evaluate the accuracy diagnosis of 150 vaginal samples with research gold standard methods and our Peptide Nucleic Acid (PNA) probes by Fluorescence in situHybridization (FISH) methodology. Also, we described the first PNA-FISH methodology for BV diagnosis, which provides results in approximately 3 h. The results showed a sensitivity of 84.6% (95% confidence interval (CI), from 64.3 to 95.0%) and a specificity of 97.6% (95% CI [92.699.4%]), demonstrating the higher specificity of the PNA-FISH method and showing false positive results in BV diagnosis commonly obtained by the classical methods. This methodology combines the specificity of PNA probes for Lactobacillus species and G. vaginalis visualization and the calculation of the microscopic field by Nugent score, allowing a trustful evaluation of the bacteria present in vaginal microflora and avoiding the occurrence of misleading diagnostics. Therefore, the PNA-FISH methodology represents a valuable alternative for BV diagnosis.por
dc.description.sponsorshipThis work was supported by European Union funds (FEDER/COMPETE) and by national funds (FCT) under the project FCOMP-01-0124-FEDER-008991 (PTDC/BIA-MIC/098228/2008). Antonio Machado was funded by the FCT individual fellowship SFRH/BD/62375/2009. Other fundings came from the FCT Strategic Project PEst-OE/EQB/LA0023/2013, the Project NORTE-07-0124-FEDER-000027, co-funded by the Programa Operacional Regional do Norte (ON.2-O Novo Norte), QREN, FEDER, and the project FCOMP-01-0124-FEDER-008991 (RECI/BBB-EBI/0179/2012). Nuno Cerca is an Investigador FCT (Portuguese national funds). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.por
dc.language.isoengpor
dc.publisherPeerJ Incpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/126270/PT-
dc.rightsopenAccesspor
dc.subjectFluorescence in situ hybridization (FISH)por
dc.subjectPeptide Nucleic Acid Probe (PNA probe)por
dc.subjectLactobacillus spp.por
dc.subjectGardnerella vaginalispor
dc.subjectBacterial vaginosispor
dc.subjectBiofilmspor
dc.subjectDiagnosis of bacterial vaginosispor
dc.titleDiagnosis of bacterial vaginosis by a new multiplex peptide nucleic acid fluorescence in situ hybridization methodpor
dc.typearticle-
dc.peerreviewedyespor
dc.relation.publisherversionhttps://peerj.com/por
dc.commentsCEB19832por
sdum.publicationstatuspublishedpor
oaire.citationStartPage1por
oaire.citationEndPage12por
oaire.citationIssuee780por
oaire.citationTitlePeerJpor
oaire.citationVolume3por
dc.date.updated2015-03-10T22:34:01Z-
dc.identifier.doi10.7717/peerj.780por
dc.subject.wosScience & Technologypor
sdum.journalPeerJpor
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

Files in This Item:
File Description SizeFormat 
document_19832_1.pdf4,76 MBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID