@article{fdi:010048268,
  title = {{MALDI}-{TOF}-{MS} for rapid detection of staphylococcal {P}anton-{V}alentine leukocidin},
  author = {{B}ittar, {F}. and {O}uchenane, {Z}. and {S}mati, {F}. and {R}aoult, {D}idier and {R}olain, {J}. {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}oxin-producing {G}ram-positive bacteria are responsible for emerging and life-threatening infections in humans worldwide. {B}oth rapid toxin detection and adapted therapy are essential to limit the morbidity due to such toxins, especially staphylococcal {P}anton-{V}alentine leukocidin ({PVL}). {H}ere we describe the use of a mass spectrometry profile generated by matrix-assisted laser desorption/ionisation time-of-flight ({MALDI}-{TOF}) followed by {C}lin{P}ro{T}ools ({TM}) 2.0 software analysis to find a reproducible model able to identify {PVL} in {S}taphylococcus aureus strains. {E}ighty-one {S}. aureus strains were used and tested for the presence of {PVL}, toxic shock syndrome toxin ({TSST}-1) and mec{A} genes. {T}he peak at 4448 mass-to-charge ratio (m/z) was the most relevant peak to differentiate between {PVL}-producing and non-{PVL}-producing {S}. aureus. {A} model using only this peak had an overall recognition capability of 100% and an overall cross-validation of 77.07%. {P}rospective evaluation of the model allowed two cases of {PVL}-producing strains to be detected within a few minutes during the time of care and before polymerase chain reaction ({PCR}) results. {O}ur study represents a proof of concept for the use of such rapid technology as a point-of-care method to identify potential lethal toxin quickly. {W}e believe that such a rapid method will be timely to help change the therapeutic strategy and could be used in the future for other pathogens and infectious diseases.},
  keywords = {{S}taphylococcus aureus ; {P}anton-{V}alentine leukocidin ; {M}ass spectrometry ; {T}oxin production ; {V}irulence factor},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {A}ntimicrobial {A}gents},
  volume = {34},
  numero = {5},
  pages = {467--470},
  ISSN = {0924-8579},
  year = {2009},
  DOI = {10.1016/j.ijantimicag.2009.03.017},
  URL = {https://www.documentation.ird.fr/hor/fdi:010048268},
}