Suppr超能文献

采用串联质量标签标记技术的血浆蛋白质组分析揭示帕金森病的潜在生物标志物:一项初步研究。

Plasma proteome profiling using tandem mass tag labeling technology reveals potential biomarkers for Parkinson's disease: a preliminary study.

机构信息

Department of Geriatrics, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China.

出版信息

Proteomics Clin Appl. 2022 Mar;16(2):e2100010. doi: 10.1002/prca.202100010. Epub 2021 Nov 27.

Abstract

PURPOSE

Parkinson's disease (PD) is the second most frequently occurring progressive neurodegenerative disorder. Biomarkers are useful indicators for tracking disease progression, early diagnosis, and intervention of disease progression. We aimed to develop plasma biomarker panel which maybe aid to predict the onset and progression of PD.

EXPERIMENTAL DESIGN

Tandem mass tag (TMT) mass spectrometry was applied using an Orbitrap Lumos mass spectrometer to analyze plasma protein expression in patients diagnosed with PD and healthy controls.

RESULTS

In total, 555 proteins were quantified. Using a cut-off of p < 0.05 and a fold change of >1.2 for the variation in expression, 25 proteins were differentially expressed between the PD and control groups. Sixteen proteins were upregulated and nine were downregulated. Several proteins, including Chitinase-3-like protein 1 (CHI3L1) and thymosin beta-4 (TMSB4X) were implicated in PD pathogenesis.

CONCLUSIONS

The data from the TMT-based proteomic profiling of plasma samples in PD may help advance the understanding of the molecular mechanisms of PD and identify potential novel biomarkers of PD for further characterization.

摘要

目的

帕金森病(PD)是第二常见的进行性神经退行性疾病。生物标志物是跟踪疾病进展、早期诊断和干预疾病进展的有用指标。我们旨在开发血浆生物标志物谱,以帮助预测 PD 的发病和进展。

实验设计

串联质量标签(TMT)质谱法使用 Orbitrap Lumos 质谱仪分析诊断为 PD 的患者和健康对照者的血浆蛋白表达。

结果

总共定量了 555 种蛋白质。使用 p < 0.05 和表达变化的倍数变化 >1.2 的截止值,PD 组和对照组之间有 25 种蛋白质表达差异。16 种蛋白质上调,9 种蛋白质下调。包括几丁质酶 3 样蛋白 1(CHI3L1)和胸腺素β-4(TMSB4X)在内的几种蛋白质与 PD 的发病机制有关。

结论

PD 血浆样本基于 TMT 的蛋白质组学分析的数据可能有助于深入了解 PD 的分子机制,并确定潜在的 PD 新型生物标志物进行进一步表征。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验