Laboratoire Des Sciences Analytiques, Bioanalytiques Et Miniaturisation, UMR 8231 CBI CNRS, ESPCI Paris, PSL université, Paris, France.
Sorbonne Université, Paris, France.
Anal Bioanal Chem. 2022 Sep;414(23):6899-6909. doi: 10.1007/s00216-022-04255-5. Epub 2022 Aug 5.
Advances in metabolomics have allowed the identification and characterization of saliva metabolites that can be used as biomarkers. However, discrepancies can be noted with the content of the same biomarker being increased or decreased for a given disease. Differences in the way saliva is collected, stored, and/or treated could cause these discrepancies. Indeed, there is no standardized method for saliva sampling and analysis. In this work, two chromatographic modes were used, i.e., RP-LC and HILIC both coupled to MS used in positive and negative ionization modes. The analytical conditions were optimized with a mixture of 90 compounds naturally present in saliva, representative of the wide range of molecular mass and polarity of salivary metabolites and being described as having a differential expression in various pathologies. These four methods were applied to the analysis of saliva samples collected by spitting, aspiration, or Salivette® with or without prior rinsing of the mouth. Rinsing had an effect on some metabolite concentrations. As it can induce an additional parameter of variability to the sampling, it seems therefore preferable to use methods without rinsing while effects of these parameters on the metabolites are investigated. Saliva obtained by spitting and aspiration gave statistically equivalent results for 84% of the metabolites studied. Conversely, Salivette® gave different results since the majority of the metabolites chosen for the study were not quantified in the samples. The Salivette® does not seem therefore to be a suitable sampling method for an untargeted analysis of the salivary metabolome, unlike aspiration and spitting.
代谢组学的进展使得能够识别和表征可作为生物标志物的唾液代谢物。然而,对于给定的疾病,可以注意到同一生物标志物的含量增加或减少存在差异。唾液采集、储存和/或处理方式的差异可能导致这些差异。实际上,目前还没有标准化的唾液采样和分析方法。在这项工作中,使用了两种色谱模式,即反相液相色谱(RP-LC)和亲水相互作用色谱(HILIC),均与正离子和负离子模式下的 MS 联用。使用 90 种天然存在于唾液中的化合物混合物优化了分析条件,这些化合物代表了唾液代谢物广泛的分子量和极性范围,并被描述为在各种病理中具有差异表达。这四种方法均应用于通过吐口水、抽吸或 Salivette®采集的唾液样本的分析,无论是否事先漱口。漱口会影响一些代谢物的浓度。由于它可能会给采样带来额外的变异性参数,因此似乎最好使用不漱口的方法,同时研究这些参数对代谢物的影响。通过吐口水和抽吸获得的唾液对于研究的 84%的代谢物给出了统计学上等效的结果。相反,Salivette®的结果不同,因为选择用于研究的大多数代谢物在样品中未被定量。因此,Salivette®似乎不适合用于非靶向分析唾液代谢组,不像抽吸和吐口水。