Serum Metabolomic Profiling of Patients with Non-Infectious Uveitis
| Autor: | Kinya Tsubota, Naoya Nezu, Hiroshi Goto, Masahiro Sugimoto, Hiroyuki Shimizu, Masaki Asakage, Ryo Wakita, Yoshihiko Usui |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Vogt–Koyanagi–Harada disease
Metabolite lcsh:Medicine Disease Article 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Metabolomics Behҫet’s disease sarcoidosis Vogt-Koyanagi-Harada disease metabolomics liquid chromatography-mass spectrometry biomarker serum medicine 030304 developmental biology 0303 health sciences Receiver operating characteristic business.industry fungi lcsh:R food and beverages General Medicine medicine.disease eye diseases Biomarker (cell) chemistry Immunology 030221 ophthalmology & optometry Sarcoidosis business Uveitis |
| Zdroj: | Journal of Clinical Medicine, Vol 9, Iss 3955, p 3955 (2020) Journal of Clinical Medicine Journal of Clinical Medicine; Volume 9; Issue 12; Pages: 3955 |
| ISSN: | 2077-0383 |
| Popis: | The activities of various metabolic pathways can influence the pathogeneses of autoimmune diseases, and intrinsic metabolites can potentially be used to diagnose diseases. However, the metabolomic analysis of patients with uveitis has not yet been conducted. Here, we profiled the serum metabolomes of patients with three major forms of uveitis (Behҫet’s disease (BD), sarcoidosis, and Vogt-Koyanagi-Harada disease (VKH)) to identify potential biomarkers. This study included 19 BD, 20 sarcoidosis, and 15 VKH patients alongside 16 healthy control subjects. The metabolite concentrations in their sera were quantified using liquid chromatography with time-of-flight mass spectrometry. The discriminative abilities of quantified metabolites were evaluated by four comparisons: control vs. three diseases, and each disease vs. the other two diseases (such as sarcoidosis vs. BD + VKH). Among 78 quantified metabolites, 24 kinds of metabolites showed significant differences in these comparisons. Four multiple logistic regression models were developed and validated. The area under the receiver operating characteristic (ROC) curve (AUC) in the model to discriminate disease groups from control was 0.72. The AUC of the other models to discriminate sarcoidosis, BD, and VKH from the other two diseases were 0.84, 0.83, and 0.73, respectively. This study provides potential diagnostic abilities of sarcoidosis, BD, and VKH using routinely available serum samples that can be collected with minimal invasiveness. |
| Databáze: | OpenAIRE |
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