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Conference Paper: Difference in the Metabolome between Escherichia Coli Isolated from Patients with Pyelonephritis and Cholangitis

TitleDifference in the Metabolome between Escherichia Coli Isolated from Patients with Pyelonephritis and Cholangitis
Authors
Issue Date2013
PublisherThe Metabolomics Society.
Citation
The 9th Annual International Conference of the Metabolomics Society, Glasgow, Scotland, UK., 1-4 July 2013, abstract no. P13-11 How to Cite?
AbstractEscherichia coli can lead to invasive infection including pyelonephritis and cholangitis. We postulate that there are differences between E. coli strains causing these different clinical syndromes. Using mass spectrometry, we have analyzed the metabolome profile of 11 blood culture E. coli isolates from patients with pyelonephritis (Group P), 11 blood culture E. coli from patients with cholangitis (Group C), and 10 stool isolates from patients without pyelonephritis or cholangitis (Group S). We have successfully distinguished between different groups of E. coli using principal component analysis and hierarchical clustering. We have identified 378 biomarkers that were different between the three groups using reversed phase LC-MS positive mode, 475 biomarkers using reversed phase LC-MS negative mode, 145 biomarkers using normal phase LC-MS positive mode, and 68 biomarkers using normal phase LC-MS negative mode. Analysis using different modes is important because some markers may only be found in the analysis with a particular ionization mode. The criteria for a difference between the three different groups were a P value of <0.01 and a fold change of >16 between at least two groups. We have manually inspected all these biomarkers to exclude false positive biomarkers in statistical analysis. After preliminary analysis, we have identified 20 biomarkers which highly expressed in Group P. Further characterization of these potential biomarkers may shed light on the specific virulence factors, and also may be used in the differentiation of E. coli isolates arising from different sites, which will help the clinicians to manage the patients
DescriptionPoster presentation
Persistent Identifierhttp://hdl.handle.net/10722/190072

 

DC FieldValueLanguage
dc.contributor.authorTo, KKWen_US
dc.contributor.authorLam, CWen_US
dc.contributor.authorLee, KCen_US
dc.contributor.authorYung, KYen_US
dc.contributor.authorLaw, CYen_US
dc.contributor.authorLeung, KFen_US
dc.contributor.authorLau, KCen_US
dc.contributor.authorChan, SFen_US
dc.date.accessioned2013-09-17T15:07:17Z-
dc.date.available2013-09-17T15:07:17Z-
dc.date.issued2013en_US
dc.identifier.citationThe 9th Annual International Conference of the Metabolomics Society, Glasgow, Scotland, UK., 1-4 July 2013, abstract no. P13-11en_US
dc.identifier.urihttp://hdl.handle.net/10722/190072-
dc.descriptionPoster presentation-
dc.description.abstractEscherichia coli can lead to invasive infection including pyelonephritis and cholangitis. We postulate that there are differences between E. coli strains causing these different clinical syndromes. Using mass spectrometry, we have analyzed the metabolome profile of 11 blood culture E. coli isolates from patients with pyelonephritis (Group P), 11 blood culture E. coli from patients with cholangitis (Group C), and 10 stool isolates from patients without pyelonephritis or cholangitis (Group S). We have successfully distinguished between different groups of E. coli using principal component analysis and hierarchical clustering. We have identified 378 biomarkers that were different between the three groups using reversed phase LC-MS positive mode, 475 biomarkers using reversed phase LC-MS negative mode, 145 biomarkers using normal phase LC-MS positive mode, and 68 biomarkers using normal phase LC-MS negative mode. Analysis using different modes is important because some markers may only be found in the analysis with a particular ionization mode. The criteria for a difference between the three different groups were a P value of <0.01 and a fold change of >16 between at least two groups. We have manually inspected all these biomarkers to exclude false positive biomarkers in statistical analysis. After preliminary analysis, we have identified 20 biomarkers which highly expressed in Group P. Further characterization of these potential biomarkers may shed light on the specific virulence factors, and also may be used in the differentiation of E. coli isolates arising from different sites, which will help the clinicians to manage the patients-
dc.languageengen_US
dc.publisherThe Metabolomics Society.-
dc.relation.ispartofAnnual International Conference of the Metabolomics Societyen_US
dc.titleDifference in the Metabolome between Escherichia Coli Isolated from Patients with Pyelonephritis and Cholangitisen_US
dc.typeConference_Paperen_US
dc.identifier.emailTo, KKW: kelvinto@hkucc.hku.hken_US
dc.identifier.emailLam, CW: ching-wanlam@pathology.hku.hken_US
dc.identifier.emailLee, KC: lee1983@hku.hken_US
dc.identifier.emailYung, KY: yungkayi@hku.hken_US
dc.identifier.emailLaw, CY: ericlaw@pathology.hku.hken_US
dc.identifier.emailChan, SF: sfchanaa@hku.hken_US
dc.identifier.authorityTo, KKW=rp01384en_US
dc.identifier.authorityLam, CW=rp00260en_US
dc.identifier.authorityLaw, CY=rp01586en_US
dc.identifier.hkuros220992en_US

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