The Role of Serum Metabolomics in Distinguishing Chronic Rhinosinusitis With Nasal Polyp Phenotypes.
The Role of Serum Metabolomics in Distinguishing Chronic Rhinosinusitis With Nasal Polyp Phenotypes.
复制标题
血清代谢组学在区分慢性鼻窦炎与鼻息肉表型中的作用
DOI：
10.3389/fmolb.2020.593976
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发表时间：
2020
影响因子：
5
通讯作者：
Jiang W
中科院分区：
文献类型：
--
作者：
Xie S;Zhang H;Liu Y;Gao K;Zhang J;Fan R;Xie S;Xie Z;Wang F;Jiang W
背景资料：慢性鼻窦炎伴鼻息肉（CRSwNP）是一种异质性疾病，具有不同的临床特征和治疗反应性。本研究旨在比较嗜酸性粒细胞CRSwNP（eCRSwNP）和非嗜酸性粒细胞CRSwNP（neCRSwNP）以及健康对照（HC）之间的血清代谢组学特征，并探索术前区分eCRSwNP的客观生物标志物。方法：收集33例neCRSwNP患者、37例eCRSwNP患者和29例HC患者的血清样本。采用超高效液相色谱-质谱联用技术研究血清代谢组学特征。结果：分析结果显示，neCRSwNP、eCRSwNP和HC表现出不同的代谢物特征。此外，eCRSwNP与neCRSwNP的血清代谢谱存在差异，前10位代谢产物分别为瓜氨酸、胆碱、亚油酸、腺苷、甘氨胆酸、L-丝氨酸、三乙醇胺、4-胍基丁酸、甲基丙二酸和L-蛋氨酸，它们与精氨酸和脯氨酸代谢、甘氨酸、丝氨酸和苏氨酸代谢、精氨酸和脯氨酸代谢、甘氨酸和丝氨酸代谢、甘氨酸亚油酸代谢;和嘌呤代谢。在这些独特的代谢物中，瓜氨酸、亚油酸、腺苷和4-胍基丁酸显示出良好的预测性，瓜氨酸、亚油酸和腺苷的血清水平与组织嗜酸性粒细胞（T-EOS）百分比和T-EOS计数显著相关。结论：与neCRSwNP患者和HC相比，eCRSwNP患者表现出可区分的血清代谢特征。这些结果表明，代谢组学有助于理解CRSwNP的病理生理机制和区分其表型
Background: Chronic rhinosinusitis with nasal polyps (CRSwNP) is a heterogeneous disease characterized by different clinical features and treatment responsiveness. This study aimed to compare the serum metabolomics profiles between eosinophilic CRSwNP (eCRSwNP) and non-eosinophilic CRSwNP (neCRSwNP) and healthy controls (HC) and explore objective biomarkers for distinguishing eCRSwNP before surgery. Methods: Serum samples were collected from 33 neCRSwNP patients, 37 eCRSwNP patients, and 29 HC. Serum metabolomics profiles were investigated by ultra-high-performance liquid chromatography–mass spectrometry. Results: The analysis results revealed that neCRSwNP, eCRSwNP, and HC exhibited distinctive metabolite signatures. In addition, eCRSwNP could be distinguished from neCRSwNP referring to their serum metabolic profiles, and the top ten different metabolites were citrulline, choline, linoleic acid, adenosine, glycocholic acid, L-serine, triethanolamine, 4-guanidinobutyric acid, methylmalonic acid, and L-methionine, which were related to several most important pathways including arginine and proline metabolism; glycine, serine, and threonine metabolism; linoleic acid metabolism; and purine metabolism. Among these distinctive metabolites, citrulline, linoleic acid, adenosine, and 4-guanidinobutyric acid showed good predictabilities, and the serum levels of citrulline, linoleic acid, and adenosine were significantly correlated with tissue eosinophil (T-EOS) percentage and T-EOS count. Conclusion: eCRSwNP patients exhibited discriminative serum metabolic signatures in comparison with neCRSwNP patients and HC. These results suggested that metabolomics profiles contributed to understanding the pathophysiological mechanisms of CRSwNP and distinguishing its phenotypes