Metabolic Profile of Whole Unstimulated Saliva in Patients with Sjögren’s Syndrome

代谢组学 唾液 队列 内科学 化学 医学 异核单量子相干光谱 核磁共振波谱 胃肠病学 色谱法 立体化学
作者
Giacomo Setti,Valéria Righi,Adele Mucci,Lucia Panari,Giuditta Bernardelli,Elisabetta Tarentini,Anna Gambini,Ugo Consolo,Luigi Generali,Cristina Magnoni,Marco Meleti,Gilda Sandri,Pierantonio Bellini
出处
期刊:Metabolites [Multidisciplinary Digital Publishing Institute]
卷期号:13 (3): 348-348 被引量:3
标识
DOI:10.3390/metabo13030348
摘要

Primary Sjögren's Syndrome (pSS) is a multi-system autoimmune disease that involves the exocrine glands. Lymphocytes infiltrate the gland tissue, leading to anatomical modification and hypofunction. Even if the prognosis of pSS is favorable, quality of life is typically reduced due to the diverse manifestations of the disease. The aim of this study is to compare the salivary metabolomes of pSS with healthy controls (HCs). Seven cases were selected from a cohort of pSS patients, and six age- and sex-matched HCs were recruited from a cohort of volunteers. Whole unstimulated saliva was collected for NMR analysis. Our metabolomic analysis focused on 360 ms total echo 1D 1H NMR CPMG spectra. Metabolites detected with CPMG NMR spectra were assigned through 2D NMR spectra (COSY, TOCSY, and HSQC). About 50 metabolites were detected and assigned. Unsupervised exploratory PCA returned partial clustering, and PLS-DA improved the separation between pSS and HCs, highlighting a pool of metabolites distinctly describing each group. Despite the limited number of samples, the presented preliminary data are promising. PLS-DA indicated well-defined group separation, suggesting that the application of 1H-NMR metabolomics is suitable for the study of pSS.

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