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Article: Gemella bacteraemia characterised by 16S ribosomal RNA gene sequencing

TitleGemella bacteraemia characterised by 16S ribosomal RNA gene sequencing
Authors
Issue Date2003
PublisherB M J Publishing Group. The Journal's web site is located at http://jcp.bmjjournals.com/
Citation
Journal Of Clinical Pathology, 2003, v. 56 n. 9, p. 690-693 How to Cite?
AbstractAims: To define epidemiology, clinical disease, and outcome of gemella bacteraemia by 16S rRNA gene sequencing. To examine the usefulness of the Vitek, API, and ATB systems in identifying two gemella species. Methods: All α haemolytic streptococci other than Streptococcus pneumoniae isolated from blood cultures during a six year period were identified by conventional biochemical methods, the Vitek system, and the API system. 16S rRNA gene sequencing was performed on all isolates identified by both kits as gemella with ≥ 95% confidence or by either kit as any bacterial species with < 95% confidence. The ATB expression system was used to identify the two isolates that were defined as gemella species by 16S rRNA gene sequencing. Results: Of the 302 α haemolytic streptococci other than S pneumoniae isolated, one was identified as Gemella morbillorum, and another as Gemella haemolysans by 16S rRNA gene sequencing. The patient with monomicrobial G morbillorum bacteraemia was a 66 year old man with community acquired infective endocarditis with septic thromboemboli. The patient with G haemolysans bacteraemia was a 41 year old woman with hospital acquired polymicrobial bacteraemia during the neutropenic period of an autologous bone marrow transplant for non-Hodgkin's lymphoma, the first case of its kind in the English literature. The API and ATB expression systems only identified the second strain as G haemolysans at 94% and 99% confidence, respectively, whereas the Vitek system identified none of the two strains correctly at > 70% confidence. Conclusions: Gemella bacteraemia is uncommon. 16S rRNA gene sequencing is the method of choice for identification of gemella and gemella-like isolates.
Persistent Identifierhttp://hdl.handle.net/10722/53431
ISSN
2021 Impact Factor: 4.463
2020 SCImago Journal Rankings: 1.100
PubMed Central ID
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWoo, PCYen_HK
dc.contributor.authorLau, SKPen_HK
dc.contributor.authorFung, AMYen_HK
dc.contributor.authorChiu, SKen_HK
dc.contributor.authorYung, RWHen_HK
dc.contributor.authorYuen, KYen_HK
dc.date.accessioned2009-04-03T07:19:35Z-
dc.date.available2009-04-03T07:19:35Z-
dc.date.issued2003en_HK
dc.identifier.citationJournal Of Clinical Pathology, 2003, v. 56 n. 9, p. 690-693en_HK
dc.identifier.issn0021-9746en_HK
dc.identifier.urihttp://hdl.handle.net/10722/53431-
dc.description.abstractAims: To define epidemiology, clinical disease, and outcome of gemella bacteraemia by 16S rRNA gene sequencing. To examine the usefulness of the Vitek, API, and ATB systems in identifying two gemella species. Methods: All α haemolytic streptococci other than Streptococcus pneumoniae isolated from blood cultures during a six year period were identified by conventional biochemical methods, the Vitek system, and the API system. 16S rRNA gene sequencing was performed on all isolates identified by both kits as gemella with ≥ 95% confidence or by either kit as any bacterial species with < 95% confidence. The ATB expression system was used to identify the two isolates that were defined as gemella species by 16S rRNA gene sequencing. Results: Of the 302 α haemolytic streptococci other than S pneumoniae isolated, one was identified as Gemella morbillorum, and another as Gemella haemolysans by 16S rRNA gene sequencing. The patient with monomicrobial G morbillorum bacteraemia was a 66 year old man with community acquired infective endocarditis with septic thromboemboli. The patient with G haemolysans bacteraemia was a 41 year old woman with hospital acquired polymicrobial bacteraemia during the neutropenic period of an autologous bone marrow transplant for non-Hodgkin's lymphoma, the first case of its kind in the English literature. The API and ATB expression systems only identified the second strain as G haemolysans at 94% and 99% confidence, respectively, whereas the Vitek system identified none of the two strains correctly at > 70% confidence. Conclusions: Gemella bacteraemia is uncommon. 16S rRNA gene sequencing is the method of choice for identification of gemella and gemella-like isolates.en_HK
dc.languageengen_HK
dc.publisherB M J Publishing Group. The Journal's web site is located at http://jcp.bmjjournals.com/en_HK
dc.relation.ispartofJournal of Clinical Pathologyen_HK
dc.rightsJournal of Clinical Pathology. Copyright © B M J Publishing Group.en_HK
dc.subject.meshBacteremia - diagnosisen_HK
dc.subject.meshCross Infection - diagnosisen_HK
dc.subject.meshRNA, Ribosomal, 16S - analysisen_HK
dc.subject.meshStaphylococcaceae - geneticsen_HK
dc.subject.meshStaphylococcal Infections - diagnosisen_HK
dc.titleGemella bacteraemia characterised by 16S ribosomal RNA gene sequencingen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0021-9746&volume=56&issue=9&spage=690&epage=693&date=2003&atitle=Gemella+bacteraemia+characterised+by+16S+ribosomal+RNA+gene+sequencingen_HK
dc.identifier.emailWoo, PCY:pcywoo@hkucc.hku.hken_HK
dc.identifier.emailLau, SKP:skplau@hkucc.hku.hken_HK
dc.identifier.emailYuen, KY:kyyuen@hkucc.hku.hken_HK
dc.identifier.authorityWoo, PCY=rp00430en_HK
dc.identifier.authorityLau, SKP=rp00486en_HK
dc.identifier.authorityYuen, KY=rp00366en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1136/jcp.56.9.690en_HK
dc.identifier.pmid12944554-
dc.identifier.pmcidPMC1770062-
dc.identifier.scopuseid_2-s2.0-0042763096en_HK
dc.identifier.hkuros87977-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0042763096&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume56en_HK
dc.identifier.issue9en_HK
dc.identifier.spage690en_HK
dc.identifier.epage693en_HK
dc.identifier.isiWOS:000185002000012-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridWoo, PCY=7201801340en_HK
dc.identifier.scopusauthoridLau, SKP=7401596211en_HK
dc.identifier.scopusauthoridFung, AMY=7101926801en_HK
dc.identifier.scopusauthoridChiu, SK=7202291644en_HK
dc.identifier.scopusauthoridYung, RWH=7005594277en_HK
dc.identifier.scopusauthoridYuen, KY=36078079100en_HK
dc.identifier.issnl0021-9746-

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