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高通量完整糖肽定量策略与靶向-MS(HTiGQs-target)揭示了作为肝障碍诊断和分期生物标志物的位点特异性 IgG N-糖肽。

High-throughput intact Glycopeptide quantification strategy with targeted-MS (HTiGQs-target) reveals site-specific IgG N-glycopeptides as biomarkers for hepatic disorder diagnosis and staging.

机构信息

Liver Cancer Institute of Zhongshan Hospital and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China; Department of Chemistry and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, China.

Department of Chemistry and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, China.

出版信息

Carbohydr Polym. 2024 Feb 1;325:121499. doi: 10.1016/j.carbpol.2023.121499. Epub 2023 Oct 16.

DOI:10.1016/j.carbpol.2023.121499
PMID:38008487
Abstract

Liver disease is one of the leading causes of global mortality, and identifying biomarkers for diagnosing the progression of liver diseases is crucial for improving its outcomes. Targeted mass spectrometry technology is a powerful tool with unique advantages for verifying biomarker candidates and clinical applications. It is particularly useful in validating protein biomarkers with post-translational modifications, eliminating the need for site-specific antibodies. Especially, targeted mass spectrometry technique is particularly critical for translation of glycoproteins into clinical applications as there are no site-specific antibodies for N-glycosylation. Nevertheless, its limitation in analyzing only one sample per run has become apparent when dealing with a large number of clinical samples. Herein, we developed a high-throughput intact N-glycopeptides quantification strategy with targeted-MS (HTiGQs-Target), which allows the validation of 20 samples per run with an average analysis time of only 3 min per sample. We applied HTiGQs-Target in a cohort of 461 serum samples (including 120 healthy controls (HC), 127 chronic hepatitis B (CHB) cases, 106 liver cirrhosis (LC) cases, and 108 hepatocellular carcinomas (HCC) cases) and found that a panel of 10 IgG N-glycopeptides have strong clinical utility in evaluating the severity of the liver disease.

摘要

肝脏疾病是全球死亡的主要原因之一,因此寻找用于诊断肝脏疾病进展的生物标志物对于改善其预后至关重要。靶向质谱技术是一种强大的工具,具有验证生物标志物候选物和临床应用的独特优势。它在验证具有翻译后修饰的蛋白质生物标志物方面特别有用,无需使用特异性抗体。特别是,由于缺乏针对 N-糖基化的特异性抗体,靶向质谱技术在将糖蛋白转化为临床应用方面尤为关键。然而,当处理大量临床样本时,其每次运行只能分析一个样本的局限性变得明显。在此,我们开发了一种具有靶向-MS 的高通量完整 N-糖肽定量策略(HTiGQs-Target),该策略允许每次运行验证 20 个样本,每个样本的平均分析时间仅为 3 分钟。我们将 HTiGQs-Target 应用于 461 份血清样本的队列(包括 120 名健康对照(HC)、127 名慢性乙型肝炎(CHB)病例、106 名肝硬化(LC)病例和 108 名肝细胞癌(HCC)病例),发现一组 10 个 IgG N-糖肽在评估肝脏疾病严重程度方面具有很强的临床应用价值。

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