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Development of a method based on surface enhanced laser desorption and ionization time of flight mass spectrometry for rapid identification of <Emphasis Type="Italic">Klebsiella pneumoniae</Emphasis> |
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| Authors: | Daiwen Xiao Yongchang Yang Hua Liu Hua Yu Yingjun Yan Wenfang Huang Wei Jiang Weijin Liao Qi Hu Bo Huang |
| Institution: | (1) Department of Pediatrics, Division of Nephrology, Children’s Hospital Boston, Boston, MA, USA;(2) Beth Israel Deaconess Medical Center, Boston, MA, USA;(3) Dana Farber/Harvard Cancer Center Proteomics Core, Boston, MA, USA;(4) Children’s Hospital Informatics Program at Harvard-MIT Division of Health Sciences and Technology, Boston, MA, USA;(5) Harvard Medical School, Boston, MA, USA; |
| Abstract: | A method based on surface enhanced laser desorption and ionization time of flight mass spectrometry (SELDI-TOF MS) was developed for the rapid identification of Klebsiella pneumoniae by directly applying bacterial colonies without further protein extraction. A total of 40 K. pneumoniae and 114 other related microorganisms isolated clinically were analyzed by SELDI-TOF MS. An identification model for K. pneumoniae was established by artificial neural networks (ANNs) with classification accuracy of 100%. The model was blindly tested with 43 K. pneumoniae and 53 control bacteria again. The results showed that the model was successful with accuracy of 96.9%, sensitivity of 100% and specificity of 943%. This strategy is potential for rapid identification of K. pneumoniae. |
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