Rapid identification of staphylococci from prosthetic joint infections using MALDI-TOF mass-spectrometry.
Hospital-acquired infections associated with implanted medical devices are most commonly caused by staphylococci. Current methods of species identification are slow, costly, and sometimes unreliable. We evaluated the ability of a Bruker Daltonics Microflex MALDI-TOF/MS in conjunction with MALDI Biotyper software to identify 158 characterized staphylococcal isolates from prosthetic joint infections, including 36 Staphylococcus aureus, 100 Staphylococcus epidermidis, 10 Staphylococcus capitis, 8 Staphylococcus lugdunensis, 2 Staphylococcus warneri, and 2 Staphylococcus haemolyticus isolates using the extraction method recommended by Bruker Daltonics. The suggested species identification by the MALDI Biotyper software was correct for all isolates, indicating reliable differentiation between S. aureus and coagulase-negative staphylococci. Applying the recommended criteria of the MALDI Biotyper software all 158 isolates gave scores ≥2.0, implying secure genus and probable species identification for all isolates. 34/36 S. aureus, 36/100 S. epidermidis, 5/10 S. capitis, 6/8 S. lugdunensis, 2/2 S. haemolyticus, 0/2 S. warneri displayed scores ≥2.3 implying highly probable species identification. For S. epidermidis 25/100 additional isolates had a score close to 2.3. It appears that additional clinically relevant staphylococcal isolates in the data base might aid in identification at scores implying highly probable species identification. The ability of the MALDI Biotyper software to recognize clonally-related strains within a species group (i.e. sub-typing) was investigated, and showed great potential. In conclusion, the MALDI-TOF/MS MALDI Biotyper system provides a promising rapid and reliable method of identifying clinical isolates from prosthetic joint infections to the species level, and has potential for sub-typing.
Medical Microbiology and Infectious Diseases, Institute of Life Science, School of Medicine, Swansea University, Swansea, United Kingdom. l.g.harris@swansea.ac.uk
Llinos G
LG
Harris
Khalid
K
El-Bouri
Stuart
S
Johnston
Eugene
E
Rees
Lars
L
Frommelt
Nicolaus
N
Siemssen
Martin
M
Christner
Angharad P
AP
Davies
Holger
H
Rohde
Dietrich
D
Mack
D001431:Bacteriological Techniques; D019992:Databases as Topic; D016521:Electrophoresis, Gel, Pulsed-Field; D006801:Humans; D007595:Joint Prosthesis / Q000009:adverse effects*; D016459:Prosthesis-Related Infections / Q000382:microbiology*; D015203:Reproducibility of Results; D012984:Software; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; D013203:Staphylococcal Infections / Q000382:microbiology*; D013210:Staphylococcus / Q000145:classification* / Q000302:isolation & purification