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基于 UPLC-MS 的血浆代谢组学和脂质组学揭示与 IgG4 相关疾病相关的改变。

UPLC-MS based plasma metabolomics and lipidomics reveal alterations associated with IgG4-related disease.

机构信息

Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences.

Department of Rheumatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences.

出版信息

Rheumatology (Oxford). 2021 Jul 1;60(7):3252-3261. doi: 10.1093/rheumatology/keaa775.

DOI:10.1093/rheumatology/keaa775
PMID:33341881
Abstract

OBJECTIVE

The pathogenesis of IgG4-related disease (IgG4-RD) remains unclear. Metabolomic profiling of IgG4-RD patients offers an opportunity to identify novel pathophysiological targets and biomarkers. This study aims to identify potential plasma biomarkers associated with IgG4-RD.

METHODS

Thirty newly diagnosed IgG4-RD patients, age-matched healthy controls and post-treated IgG4-RD patients were enrolled. Patients' clinical data, laboratory parameters and plasma were collected. Plasma was measured for ultraperformance liquid chromatography-tandem mass spectrometry based metabolomics and lipidomics profiling. Multivariate and univariate statistical analyses were conducted to identify potential biomarkers. The receiver operating characteristic and the correlations between biomarkers and clinical parameters were investigated.

RESULTS

The plasma metabolites are altered among healthy controls, newly diagnosed IgG4-RD and post-treated IgG4-RD groups. Of the identified features, eight metabolites were significantly perturbed in the IgG4-RD group, including glyceric acid 1,3-biphosphate (1,3-BPG), uridine triphosphate (UTP), uridine diphosphate glucose (UDP-Glc) or uridine diphosphate galactose (UDP-Gal), lysophospholipids, linoleic acid derivatives and ceramides. Receiver operating characteristic analysis indicated that UTP, UDP-Glc/UDP-Gal and LysoPC (18:1) had high sensitivity and specificity in diagnosis of IgG4-RD. A Pearson correlation analysis showed that 1,3-BPG and UTP were strongly correlated with clinical parameters.

CONCLUSION

IgG4-RD patients have a unique plasma metabolomic profile compared with healthy controls. Our study suggested that metabolomic profiling may provide important insights into pathophysiology and testable biomarkers for diagnosis of IgG4-RD.

摘要

目的

IgG4 相关疾病(IgG4-RD)的发病机制仍不清楚。对 IgG4-RD 患者进行代谢组学分析可为发现新的病理生理靶点和生物标志物提供机会。本研究旨在鉴定与 IgG4-RD 相关的潜在血浆生物标志物。

方法

纳入 30 例新诊断的 IgG4-RD 患者、年龄匹配的健康对照者和经治疗的 IgG4-RD 患者。收集患者的临床资料、实验室参数和血浆。采用超高效液相色谱-串联质谱法进行代谢组学和脂质组学分析。采用多元和单变量统计分析鉴定潜在的生物标志物。对生物标志物与临床参数之间的相关性进行Receiver operating characteristic(ROC)分析和相关性分析。

结果

健康对照者、新诊断的 IgG4-RD 患者和经治疗的 IgG4-RD 患者的血浆代谢物存在差异。在鉴定的特征中,有 8 种代谢物在 IgG4-RD 组中显著失调,包括甘油-1,3-二磷酸(1,3-BPG)、三磷酸尿苷(UTP)、尿苷二磷酸葡萄糖(UDP-Glc)或尿苷二磷酸半乳糖(UDP-Gal)、溶血磷脂、亚油酸衍生物和神经酰胺。ROC 分析表明,UTP、UDP-Glc/UDP-Gal 和 LysoPC(18:1)在诊断 IgG4-RD 时具有较高的灵敏度和特异性。Pearson 相关性分析表明,1,3-BPG 和 UTP 与临床参数密切相关。

结论

与健康对照者相比,IgG4-RD 患者具有独特的血浆代谢组学特征。本研究提示,代谢组学分析可能为 IgG4-RD 的病理生理学提供重要见解,并为其诊断提供可检测的生物标志物。

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