TY - JOUR
T1 - Secondary electrospray ionization-mass spectrometry (SESI-MS) breathprinting of multiple Bacterial lung pathogens, a mouse model study
AU - Zhu, Jiangjiang
AU - Bean, Heather D.
AU - Jiménez-Díaz, Jaime
AU - Hill, Jane E.
PY - 2013/6/1
Y1 - 2013/6/1
N2 - Bacterial pneumonia is one of the leading causes of disease-related morbidity and mortality in the world, in part because the diagnostic tools for pneumonia are slow and ineffective. To improve the diagnosis success rates and treatment outcomes for bacterial lung infections, we are exploring the use of secondary electrospray ionizationmass spectrometry (SESI-MS) breath analysis as a rapid, noninvasive method for determining the etiology of lung infections in situ. Using a murine lung infection model, we demonstrate that SESI-MS breathprints can be used to distinguish mice that are infected with one of seven lung pathogens: Haemophilus influenzae, Klebsiella pneumoniae, Legionella pneumophila, Moraxella catarrhalis, Pseudomonas aeruginosa, Staphylococcus aureus, and Streptococcus pneumoniae, representing the primary causes of bacterial pneumonia worldwide. After applying principal components analysis, we observed that with the first three principal components (primarily comprised of data from 14 peaks), all infections were separable via SESI-MS breathprinting (P<0.0001). Therefore, we have shown the potential of this SESI-MS approach for rapidly detecting and identifying acute bacterial lung infections in situ via breath analysis.
AB - Bacterial pneumonia is one of the leading causes of disease-related morbidity and mortality in the world, in part because the diagnostic tools for pneumonia are slow and ineffective. To improve the diagnosis success rates and treatment outcomes for bacterial lung infections, we are exploring the use of secondary electrospray ionizationmass spectrometry (SESI-MS) breath analysis as a rapid, noninvasive method for determining the etiology of lung infections in situ. Using a murine lung infection model, we demonstrate that SESI-MS breathprints can be used to distinguish mice that are infected with one of seven lung pathogens: Haemophilus influenzae, Klebsiella pneumoniae, Legionella pneumophila, Moraxella catarrhalis, Pseudomonas aeruginosa, Staphylococcus aureus, and Streptococcus pneumoniae, representing the primary causes of bacterial pneumonia worldwide. After applying principal components analysis, we observed that with the first three principal components (primarily comprised of data from 14 peaks), all infections were separable via SESI-MS breathprinting (P<0.0001). Therefore, we have shown the potential of this SESI-MS approach for rapidly detecting and identifying acute bacterial lung infections in situ via breath analysis.
KW - Bacteria
KW - Breath analysis
KW - Lung infection
KW - SESI-MS
KW - VOC
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UR - http://www.scopus.com/inward/citedby.url?scp=84878531072&partnerID=8YFLogxK
U2 - 10.1152/japplphysiol.00099.2013
DO - 10.1152/japplphysiol.00099.2013
M3 - Article
C2 - 23519230
AN - SCOPUS:84878531072
SN - 8750-7587
VL - 114
SP - 1544
EP - 1549
JO - Journal of Applied Physiology
JF - Journal of Applied Physiology
IS - 11
ER -