Proteomics and metabolomics analyses of urine for investigation of gallstone disease in a high-altitude area.

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Ying Ma, Xiaofeng Jing, Defu Li, Tiecheng Zhang, Haiqi Xiang, Yonghong Xia, Fan Xu
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Abstract

Background: The incidence of gallstones is high in Qinghai Province. However, the molecular mechanisms underlying the development of gallstones remain unclear.

Methods: In this study, we collected urine samples from 30 patients with gallstones and 30 healthy controls. The urine samples were analysed using multi-omics platforms. Proteomics analysis was conducted using data-independent acquisition, whereas metabolomics analysis was performed using liquid chromatography-mass spectrometry (LC-MS).

Results: Among the patients with gallstones, we identified 49 down-regulated and 185 up-regulated differentially expressed proteins as well as 195 up-regulated and 189 down-regulated differentially expressed metabolites. Six pathways were significantly enriched: glycosaminoglycan degradation, arginine and proline metabolism, histidine metabolism, pantothenate and coenzyme A biosynthesis, drug metabolism-other enzymes, and the pentose phosphate pathway. Notably, 10 differentially expressed proteins and metabolites showed excellent predictive performance and were selected as potential biomarkers.

Conclusion: The findings of our metabolomics and proteomics analyses provide new insights into novel biomarkers for patients with cholelithiasis in high-altitude areas.

Abstract Image

对尿液进行蛋白质组学和代谢组学分析,以调查高海拔地区的胆石症。
背景青海省胆结石发病率较高。然而,胆结石发病的分子机制仍不清楚:本研究收集了 30 名胆结石患者和 30 名健康对照者的尿液样本。采用多组学平台对尿液样本进行分析。蛋白质组学分析采用数据独立采集法,而代谢组学分析则采用液相色谱-质谱联用仪(LC-MS):结果:在胆结石患者中,我们发现了 49 个下调和 185 个上调的差异表达蛋白质,以及 195 个上调和 189 个下调的差异表达代谢物。有六条途径明显富集:糖胺聚糖降解、精氨酸和脯氨酸代谢、组氨酸代谢、泛酸和辅酶 A 生物合成、药物代谢-其他酶以及磷酸戊糖途径。值得注意的是,有 10 个差异表达的蛋白质和代谢物显示出极佳的预测性能,并被选为潜在的生物标记物:我们的代谢组学和蛋白质组学分析结果为高海拔地区胆石症患者的新型生物标志物提供了新的见解。
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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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