Vera-Montecinos América, Pardo Claudio Carril, Hernández Mauricio, Saldivia Pablo, Nourdin Guillermo, Elizondo-Vega Roberto, Sánchez Evelyn, Amulef Sofía, Koch Elard, Vargas Cristian, Oyarce Karina
Departamento de Ciencias Biológicas y Químicas, Facultad de Ciencias, Universidad San Sebastián, sede Concepción, Concepción, Chile.
Laboratorio de Neuroinmunología, Facultad de Ciencias, Universidad San Sebastián, sede Concepción, Concepción, Chile.
Sci Rep. 2025 Aug 25;15(1):31181. doi: 10.1038/s41598-025-17105-y.
The search for pathological biomarkers in biological fluids that can provide valuable insight into an individual's health status, is a relevant area of research for multiple pathologies. Currently, the use of proteomics for the identification of differences in protein expression profiles between samples from healthy subjects and patients, has emerged as a powerful strategy to improve the current diagnosis of various pathologies or propose novel therapeutic approaches. Among the biological fluids from which new pathological biomarkers can be identified, tear secretion is highly attractive, since it can be collected non-invasively and could better concentrate proteins that sensitively reflect allergic responses, owing to their exposure to environmental factors and its connection to the respiratory system. Despite its potential, tear fluid remains underexplored, offering significant research opportunities. In this study, we collected human tear samples using the Shirmer Test from healthy and allergic individuals. Our optimized workflow, combining sample preparation and high-throughput proteomics using the data-independent acquisition (DIA) strategy, identified 2542 proteins and enabled the successful differentiation of the two groups. We identified 99 differentially expressed proteins. Our results show the feasibility of protein analysis in human tear samples, highlighting tears as a highly sensitive fluid for detecting health conditions. Data are available via ProteomeXchange with identifier PXD067099.
在生物体液中寻找能够为个体健康状况提供有价值见解的病理生物标志物，是多个病理学领域的一个相关研究方向。目前，利用蛋白质组学来识别健康受试者和患者样本之间蛋白质表达谱的差异，已成为一种强大的策略，用于改进当前对各种病理学的诊断或提出新的治疗方法。在可从中识别出新的病理生物标志物的生物体液中，泪液分泌极具吸引力，因为它可以通过非侵入性方式收集，并且由于其暴露于环境因素以及与呼吸系统的关联，可能会更好地浓缩那些能敏感反映过敏反应的蛋白质。尽管泪液有其潜力，但仍未得到充分探索，提供了重要的研究机会。在本研究中，我们使用施密特试验从健康个体和过敏个体中收集了人类泪液样本。我们优化的工作流程，结合使用数据非依赖采集（DIA）策略的样品制备和高通量蛋白质组学，鉴定出了2542种蛋白质，并成功区分了两组。我们鉴定出了99种差异表达的蛋白质。我们的结果表明了在人类泪液样本中进行蛋白质分析的可行性，突出了泪液作为检测健康状况的高敏感液体的特点。数据可通过ProteomeXchange获取，标识符为PXD067099。
