Bregy Lukas, Müggler Annick R, Martinez-Lozano Sinues Pablo, García-Gómez Diego, Suter Yannick, Belibasakis Georgios N, Kohler Malcolm, Schmidlin Patrick R, Zenobi Renato
Department of Chemistry and Applied Biosciences, ETH Zürich, Switzerland.
Clinic of Preventive Dentistry, Periodontology and Cariology, Center of Dental Medicine, University of Zürich, Switzerland.
Sci Rep. 2015 Oct 19;5:15163. doi: 10.1038/srep15163.
The detection of bacterial-specific volatile metabolites may be a valuable tool to predict infection. Here we applied a real-time mass spectrometric technique to investigate differences in volatile metabolic profiles of oral bacteria that cause periodontitis. We coupled a secondary electrospray ionization (SESI) source to a commercial high-resolution mass spectrometer to interrogate the headspace from bacterial cultures and human saliva. We identified 120 potential markers characteristic for periodontal pathogens Aggregatibacter actinomycetemcomitans (n = 13), Porphyromonas gingivalis (n = 70), Tanerella forsythia (n = 30) and Treponema denticola (n = 7) in in vitro cultures. In a second proof-of-principle phase, we found 18 (P. gingivalis, T. forsythia and T. denticola) of the 120 in vitro compounds in the saliva from a periodontitis patient with confirmed infection with P. gingivalis, T. forsythia and T. denticola with enhanced ion intensity compared to two healthy controls. In conclusion, this method has the ability to identify individual metabolites of microbial pathogens in a complex medium such as saliva.
检测细菌特异性挥发性代谢产物可能是预测感染的一种有价值的工具。在此,我们应用实时质谱技术来研究导致牙周炎的口腔细菌挥发性代谢谱的差异。我们将二次电喷雾电离(SESI)源与商用高分辨率质谱仪联用,以检测细菌培养物和人类唾液的顶空成分。我们在体外培养物中鉴定出了120种潜在标志物,这些标志物分别是牙周病原体伴放线聚集杆菌(13种)、牙龈卟啉单胞菌(70种)、福赛坦氏菌(30种)和具核梭杆菌(7种)的特征性标志物。在第二个原理验证阶段,我们在一名确诊感染牙龈卟啉单胞菌、福赛坦氏菌和具核梭杆菌的牙周炎患者的唾液中,发现了120种体外化合物中的18种,与两名健康对照相比,其离子强度增强。总之,该方法有能力在诸如唾液这样的复杂介质中识别微生物病原体的个体代谢产物。