Identification of Novel Biomarkers for Evaluating Disease Severity in House-Dust-Mite-Induced Allergic Rhinitis by Serum Metabolomics.
Identification of Novel Biomarkers for Evaluating Disease Severity in House-Dust-Mite-Induced Allergic Rhinitis by Serum Metabolomics.
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通过血清代谢组学鉴定用于评估屋尘螨诱发的过敏性鼻炎疾病严重程度的新型生物标志物
DOI：
10.1155/2021/5558458
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Jiang W
中科院分区：
文献类型：
--
作者：
Xie S;Zhang H;Xie Z;Liu Y;Gao K;Zhang J;Xie S;Wang F;Fan R;Jiang W
本研究的目的是确定屋尘螨(HDM)诱导的变应性鼻炎(AR)患者与对照组的血清代谢组学特征的差异，并探索反映疾病严重程度的新生物标志物。收集29例正常人和72例HDM诱发AR患者的血清标本，其中轻度AR患者30例，中重度AR患者42例。进行代谢组学检测，并应用正交偏最小二乘判别分析评估AR患者和对照组之间以及基于疾病严重程度的亚组之间的差异。这些分析结果成功地揭示了明显的代谢物特征，将MAR患者和MSAR患者与对照组区分开来。根据代谢指纹，MSAR患者也可以与MAR患者区分开来。大多数观察到的代谢物变化与甘氨酸、丝氨酸和苏氨酸代谢、嘧啶代谢、鞘脂代谢、精氨酸和脯氨酸代谢以及脂肪酸代谢有关。AR患者的肌氨酸、鞘氨醇-1-磷酸、胞苷和亚油酸水平与鼻部症状总评分和视觉模拟评分显著相关。这些结果表明，代谢组学图谱可能为HDM诱导的AR的病理生理学机制提供新的见解，并有助于评估其疾病严重程度。
The aim of this study was to identify differences in serum metabolomics profiles of house-dust-mite (HDM)-induced allergic rhinitis (AR) patients compared to controls and to explore novel biomarkers reflecting disease severity. Serum samples were collected from 29 healthy controls and HDM-induced 72 AR patients, including 30 mild patients (MAR) and 42 moderate to severe AR patients (MSAR). Metabolomics detection was performed, and orthogonal partial least square discriminate analysis was applied to assess the differences between AR patients and controls and for subgroups based on disease severity. These analysis results successfully revealed distinct metabolite signatures which distinguished MAR patients and MSAR patients from controls. MSAR patients also could be discriminated from MAR patients based on their metabolic fingerprints. Most observed metabolite changes were related to glycine, serine, and threonine metabolism, pyrimidine metabolism, sphingolipid metabolism, arginine and proline metabolism, and fatty acid metabolism. Levels of sarcosine, sphingosine-1-phosphate, cytidine, and linoleic acid significantly correlated with the total nasal symptom score and visual analogue scale in AR patients. These results suggest that metabolomics profiling may provide novel insights into the pathophysiological mechanisms of HDM-induced AR and contribute to its evaluation of disease severity.
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