J Oral Facial Pain Headache. 2023 Nov 17;37(3):207-216. doi: 10.11607/ofph.3353.
To develop a new approach to provide insights into contributing factors to the etiology and pathogenesis of temporomandibular disorders (TMDs) through discrimination of the salivary metabolomic profiling of patients with TMDs of muscular origin (ie, local myalgia) and healthy individuals.
Saliva samples from 19 patients with TMDs of muscular origin (ie, local myalgia) and 39 healthy controls were collected and identified by nuclear magnetic resonance (NMR) spectroscopy. 1H NMR spectra for all samples were acquired using a Bruker Avance-III NMR spectrometer operating at 500 MHz, and data processing was performed in TopSpin, MestreNova, SIMCA, and AMIX softwares for metabolite identification.
Eight key metabolites were identified between the healthy controls and patients: L-isoleucine, methylmalonic acid, isopropanolamine, dimethyl sulfone, lactic acid, 4-ethoxyphenylacetic acid, N-acetyl alanine, and D-galactose.
The results of this study demonstrate that NMR-based metabolomics coupled with multivariate data analysis is a powerful method for the metabolomic profiling of patients with TMDs of muscular origin (ie, local myalgia).
通过区分肌源性颞下颌关节紊乱病(TMD)患者和健康个体的唾液代谢组特征,为探讨 TMD 的病因和发病机制提供新方法。
收集 19 例肌源性 TMD(局部肌痛)患者和 39 例健康对照者的唾液样本,采用核磁共振(NMR)光谱法进行鉴定。所有样本的 1H NMR 光谱均采用 Bruker Avance-III NMR 光谱仪在 500 MHz 下采集,采用 TopSpin、MestreNova、SIMCA 和 AMIX 软件进行代谢物鉴定和数据处理。
在健康对照组和患者组之间鉴定出 8 种关键代谢物:L-异亮氨酸、甲基丙二酸、异丙醇胺、二甲基砜、乳酸、对乙氧基苯乙酸、N-乙酰丙氨酸和 D-半乳糖。
本研究结果表明,基于 NMR 的代谢组学结合多元数据分析是肌源性 TMD(局部肌痛)患者代谢组特征分析的一种强大方法。