Rapid detection of K1 hypervirulent Klebsiella pneumoniae by MALDI-TOF MS
Hypervirulent strains of Klebsiella pneumoniae (hvKP) are genetic variants of Klebsiella pneumoniae which can cause life-threatening community-acquired infection in healthy individuals. Currently, methods for efficient differentiation between classic K. pneumoniae (cKP) and hvKP strains are not avai...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2015-12-01
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| Series: | Frontiers in Microbiology |
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| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fmicb.2015.01435/full |
| _version_ | 1811300526572175360 |
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| author | Yonglu eHuang Jiaping eLi Gu eDanxia Ying eFang Edward Wai-Chi Chan Sheng eChen Rong eZhang |
| author_facet | Yonglu eHuang Jiaping eLi Gu eDanxia Ying eFang Edward Wai-Chi Chan Sheng eChen Rong eZhang |
| author_sort | Yonglu eHuang |
| collection | DOAJ |
| description | Hypervirulent strains of Klebsiella pneumoniae (hvKP) are genetic variants of Klebsiella pneumoniae which can cause life-threatening community-acquired infection in healthy individuals. Currently, methods for efficient differentiation between classic K. pneumoniae (cKP) and hvKP strains are not available, often causing delay in diagnosis and treatment of hvKP infections. To address this issue, we devised a Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) approach for rapid identification of K1 hvKP strains. Four standard algorithms, genetic algorithm (GA), support vector machine (SVM), supervised neural network (SNN), and quick classifier (QC), were tested for their power to differentiate between K1 and non-K1 strains, among which SVM was the most reliable algorithm. Analysis of the receiver operating characteristic curves of the interest peaks generated by the SVM model was found to confer highly accurate detection sensitivity and specificity, consistently producing distinguishable profiles for K1 hvKP and non-K1 strains. Of the 43 K. pneumoniae modeling strains tested by this approach, all were correctly identified as K1 hvKP and non-K1 capsule type. Of the 20 non-K1 and 17 K1 hvKP validation isolates, the accuracy of K1 hvKP and non-K1 identification was 94.1% and 90.0% respectively according to the SVM model. In summary, the MALDI-TOF MS approach can be applied alongside the conventional genotyping techniques to provide rapid and accurate diagnosis, and hence prompt treatment of infections caused by hvKP. |
| first_indexed | 2024-04-13T06:53:33Z |
| format | Article |
| id | doaj.art-d9484e7898524caf841bc423bb174b01 |
| institution | Directory Open Access Journal |
| issn | 1664-302X |
| language | English |
| last_indexed | 2024-04-13T06:53:33Z |
| publishDate | 2015-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj.art-d9484e7898524caf841bc423bb174b012022-12-22T02:57:20ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2015-12-01610.3389/fmicb.2015.01435166495Rapid detection of K1 hypervirulent Klebsiella pneumoniae by MALDI-TOF MSYonglu eHuang0Jiaping eLi1Gu eDanxia2Ying eFang3Edward Wai-Chi Chan4Sheng eChen5Rong eZhang6Second Affiliated Hospital of Zhejiang UniversitySecond Affiliated Hospital of Zhejiang UniversitySecond Affiliated Hospital of Zhejiang UniversitySecond Affiliated Hospital of Zhejiang UniversityHong Kong Polytechnic UniversityHong Kong Polytechnic UniversitySecond Affiliated Hospital of Zhejiang UniversityHypervirulent strains of Klebsiella pneumoniae (hvKP) are genetic variants of Klebsiella pneumoniae which can cause life-threatening community-acquired infection in healthy individuals. Currently, methods for efficient differentiation between classic K. pneumoniae (cKP) and hvKP strains are not available, often causing delay in diagnosis and treatment of hvKP infections. To address this issue, we devised a Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) approach for rapid identification of K1 hvKP strains. Four standard algorithms, genetic algorithm (GA), support vector machine (SVM), supervised neural network (SNN), and quick classifier (QC), were tested for their power to differentiate between K1 and non-K1 strains, among which SVM was the most reliable algorithm. Analysis of the receiver operating characteristic curves of the interest peaks generated by the SVM model was found to confer highly accurate detection sensitivity and specificity, consistently producing distinguishable profiles for K1 hvKP and non-K1 strains. Of the 43 K. pneumoniae modeling strains tested by this approach, all were correctly identified as K1 hvKP and non-K1 capsule type. Of the 20 non-K1 and 17 K1 hvKP validation isolates, the accuracy of K1 hvKP and non-K1 identification was 94.1% and 90.0% respectively according to the SVM model. In summary, the MALDI-TOF MS approach can be applied alongside the conventional genotyping techniques to provide rapid and accurate diagnosis, and hence prompt treatment of infections caused by hvKP.http://journal.frontiersin.org/Journal/10.3389/fmicb.2015.01435/fullMALDI-TOF MSRapid detectionSVM modelK1 hvKPtypical spectra |
| spellingShingle | Yonglu eHuang Jiaping eLi Gu eDanxia Ying eFang Edward Wai-Chi Chan Sheng eChen Rong eZhang Rapid detection of K1 hypervirulent Klebsiella pneumoniae by MALDI-TOF MS Frontiers in Microbiology MALDI-TOF MS Rapid detection SVM model K1 hvKP typical spectra |
| title | Rapid detection of K1 hypervirulent Klebsiella pneumoniae by MALDI-TOF MS |
| title_full | Rapid detection of K1 hypervirulent Klebsiella pneumoniae by MALDI-TOF MS |
| title_fullStr | Rapid detection of K1 hypervirulent Klebsiella pneumoniae by MALDI-TOF MS |
| title_full_unstemmed | Rapid detection of K1 hypervirulent Klebsiella pneumoniae by MALDI-TOF MS |
| title_short | Rapid detection of K1 hypervirulent Klebsiella pneumoniae by MALDI-TOF MS |
| title_sort | rapid detection of k1 hypervirulent klebsiella pneumoniae by maldi tof ms |
| topic | MALDI-TOF MS Rapid detection SVM model K1 hvKP typical spectra |
| url | http://journal.frontiersin.org/Journal/10.3389/fmicb.2015.01435/full |
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