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采用 LC/MS/MS 定量检测 15 种血清胆汁酸代谢产物对原发性胆汁性胆管炎的诊断价值。

Quantitative Detection of 15 Serum Bile Acid Metabolic Products by LC/MS/MS in the Diagnosis of Primary Biliary Cholangitis.

机构信息

State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, 510000, Guangzhou, China.

Department of Laboratory Medicine, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), 510000, Guangzhou, China.

出版信息

Chem Biodivers. 2023 Mar;20(3):e202200720. doi: 10.1002/cbdv.202200720. Epub 2023 Mar 8.

Abstract

To determine 15 bile acid metabolic products in human serum by liquid chromatography-tandem mass spectrometry (LC/MS/MS) and value their diagnostic outcome in primary biliary cholangitis (PBC). Serum from 20 healthy controls and 26 patients with PBC were collected and went LC/MS/MS analysis of 15 bile acid metabolic products. The test results were analyzed by bile acid metabolomics, and the potential biomarkers were screened and their diagnostic performance was judged by statistical methods such as principal component and partial least squares discriminant analysis and area under curve (AUC). 8 differential metabolites can be screened out: Deoxycholic acid (DCA), Glycine deoxycholic acid (GDCA), Lithocholic acid (LCA), Glycine ursodeoxycholic acid (GUDCA), Taurolithocholic acid (TLCA), Tauroursodeoxycholic acid (TUDCA), Taurodeoxycholic acid (TDCA), Glycine chenodeoxycholic acid (GCDCA). The performance of the biomarkers was evaluated by the AUC, specificity and sensitivity. In conclusion, DCA, GDCA, LCA, GUDCA, TLCA, TUDCA, TDCA and GCDCA were identified as eight potential biomarkers to distinguish between healthy people and PBC patients by multivariate statistical analysis, which provided reliable experimental basis for clinical practice.

摘要

采用液相色谱-串联质谱法(LC/MS/MS)测定 20 例健康对照者和 26 例原发性胆汁性胆管炎(PBC)患者血清中的 15 种胆汁酸代谢产物,并分析其在 PBC 诊断中的应用价值。采集血清进行 LC/MS/MS 分析 15 种胆汁酸代谢产物,采用胆汁酸代谢组学分析检测结果,通过主成分分析和偏最小二乘判别分析等统计方法筛选潜在生物标志物,并通过曲线下面积(AUC)等判断其诊断性能。可筛选出 8 种差异代谢物:脱氧胆酸(DCA)、甘氨脱氧胆酸(GDCA)、石胆酸(LCA)、甘氨熊脱氧胆酸(GUDCA)、牛磺脱氧胆酸(TLCA)、牛磺熊脱氧胆酸(TUDCA)、胆酸(TDCA)、甘氨鹅脱氧胆酸(GCDCA)。通过 AUC、特异性和敏感性评估生物标志物的性能。综上所述,通过多变量统计分析,DCA、GDCA、LCA、GUDCA、TLCA、TUDCA、TDCA 和 GCDCA 被确定为 8 种潜在的生物标志物,可用于区分健康人和 PBC 患者,为临床实践提供了可靠的实验依据。

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