A Comparison of Emotionally Stimulated and Conventionally Collected Tears Using Bottom-Up, Label-Free Quantitative Proteomic Analysis-A Pilot Study.

IF 2.5 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Campbell Bruce Mousseau, Alena R Veigl-Lunsford, Rhonda L Pitsch, Sean W Harshman
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引用次数: 0

Abstract

Proteomic analysis of biofluids is central for identifying disease biomarkers. Tears have become popular targets for biomarker discovery and biosensor development, largely because they can be collected noninvasively and are rich sources of biomarkers for ocular and systemic diseases. Although basal and reflex tears have been well characterized, the proteome of psycho-emotionally stimulated tears remains largely unexplored, hindering their applicability in biomarker discovery studies and the advancement of tear-based biosensors. Comprehensive proteomic analysis across different tear types is crucial for identifying novel biomarkers and improving disease diagnosis and monitoring. In this pilot study, tears collected via conventional stimulation techniques ("standard") versus those elicited through emotional stimuli ("emotional") were purchased from single donors through two vendors. We compared the proteomic profiles of emotional (n = 6) and standard (n = 14) single donor human tears to better understand the biochemical composition and functional roles of different tear types. In total, 907 proteins were identified from all tear samples. Fifty-two tear proteins were significantly enriched in emotionally stimulated tears. Functional characterization of enriched proteins revealed that most were extracellular or secreted. Many were also involved in host defense or immune responses, including members of the S100A and neutrophil defensin protein families. SUMMARY: Although emotional tears are known to differ from basal and reflex tears in both composition and function, the specific biochemical characteristics and functional roles of emotional tears remain poorly understood. This gap in knowledge is largely due to the limited research conducted on emotional tears, despite their distinct origins. A more complete understanding of all tear types is necessary for the continuation of biomarker discovery and the development of tear fluid-based biosensors. In this exploratory study, tears collected via a conventional/standard protocol and those collected from emotional stimulus were obtained from two vendors and subjected to proteomic profiling and comparison. A bottom-up proteomic approach was utilized to analyze tear samples, facilitating a comparison between tear types and contributing to the characterization of psycho-emotional tears.

使用自下而上、无标记的定量蛋白质组学分析比较情绪刺激和常规收集的眼泪-一项初步研究。
生物流体的蛋白质组学分析是识别疾病生物标志物的核心。眼泪已经成为生物标志物发现和生物传感器开发的热门目标,主要是因为它们可以无创收集,并且是眼部和全身疾病生物标志物的丰富来源。尽管基础眼泪和反射眼泪已经被很好地表征,但心理-情绪刺激眼泪的蛋白质组学仍然很大程度上未被探索,这阻碍了它们在生物标志物发现研究和基于眼泪的生物传感器的发展中的适用性。不同泪液类型的综合蛋白质组学分析对于识别新的生物标志物和改善疾病诊断和监测至关重要。在这项初步研究中,通过传统刺激技术(“标准”)收集的眼泪与通过情感刺激(“情感”)收集的眼泪通过两个供应商从单个捐赠者处购买。为了更好地了解不同类型泪液的生化组成和功能作用,我们比较了情感泪液(n = 6)和标准泪液(n = 14)的蛋白质组学特征。从所有泪液样本中共鉴定出907种蛋白质。52种泪液蛋白在情绪刺激的泪液中显著富集。富集蛋白的功能表征显示,大多数是细胞外或分泌的。许多也参与宿主防御或免疫反应,包括S100A和中性粒细胞防御蛋白家族的成员。摘要:虽然情绪性泪液在成分和功能上不同于基础泪液和反射性泪液,但人们对情绪性泪液的具体生化特征和功能作用仍知之甚少。这种知识上的差距很大程度上是由于对情绪性眼泪的研究有限,尽管它们的起源不同。更全面地了解所有泪液类型对于继续发现生物标志物和开发基于泪液的生物传感器是必要的。在这项探索性研究中,通过常规/标准方案收集的眼泪和通过情绪刺激收集的眼泪从两个供应商处获得,并进行蛋白质组学分析和比较。一种自下而上的蛋白质组学方法被用于分析泪液样本,促进了泪液类型之间的比较,并有助于心理-情感泪液的表征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
PROTEOMICS – Clinical Applications
PROTEOMICS – Clinical Applications 医学-生化研究方法
CiteScore
5.20
自引率
5.00%
发文量
50
审稿时长
1 months
期刊介绍: PROTEOMICS - Clinical Applications has developed into a key source of information in the field of applying proteomics to the study of human disease and translation to the clinic. With 12 issues per year, the journal will publish papers in all relevant areas including: -basic proteomic research designed to further understand the molecular mechanisms underlying dysfunction in human disease -the results of proteomic studies dedicated to the discovery and validation of diagnostic and prognostic disease biomarkers -the use of proteomics for the discovery of novel drug targets -the application of proteomics in the drug development pipeline -the use of proteomics as a component of clinical trials.
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