IRMB-PPC, INM, Montpellier University Hospital, INSERM, CNRS, University of Montpellier, 34295 Montpellier, France.
Department of Biochemistry and Hormonology, Montpellier University Hospital, University of Montpellier, 191 Avenue du Doyen Giraud, 34295 Montpellier, France.
Int J Mol Sci. 2023 Apr 10;24(8):6989. doi: 10.3390/ijms24086989.
Blood microsampling combined with large panels of clinically relevant tests are of major interest for the development of home sampling and predictive medicine. The aim of the study was to demonstrate the practicality and medical utility of microsamples quantification using mass spectrometry (MS) in a clinical setting by comparing two types of microsamples for multiplex MS protein detection. In a clinical trial based on elderly population, we compared 2 µL of plasma to dried blood spot (DBS) with a clinical quantitative multiplex MS approach. The analysis of the microsamples allowed the quantification of 62 proteins with satisfactory analytical performances. A total of 48 proteins were significantly correlated between microsampling plasma and DBS ( < 0.0001). The quantification of 62 blood proteins allowed us to stratify patients according to their pathophysiological status. Apolipoproteins D and E were the best biomarker link to IADL (instrumental activities of daily living) score in microsampling plasma as well as in DBS. It is, thus, possible to detect multiple blood proteins from micro-samples in compliance with clinical requirements and this allows, for example, to monitor the nutritional or inflammatory status of patients. The implementation of this type of analysis opens new perspectives in the field of diagnosis, monitoring and risk assessment for personalized medicine approaches.
血液微采样与大量临床相关检测相结合,对于家庭采样和预测医学的发展具有重要意义。本研究旨在通过比较两种微样本用于多重 MS 蛋白检测,在临床环境中证明使用质谱法 (MS) 对微样本进行定量的实用性和医学效用。在一项基于老年人群的临床试验中,我们使用临床定量多重 MS 方法比较了 2 µL 血浆与干血斑 (DBS)。微样本分析允许定量 62 种具有满意分析性能的蛋白质。在微采样血浆和 DBS 之间,总共 48 种蛋白质存在显著相关性(<0.0001)。62 种血液蛋白质的定量允许我们根据患者的病理生理状态对其进行分层。载脂蛋白 D 和 E 是微采样血浆和 DBS 中与 IADL(工具性日常生活活动)评分相关性最好的生物标志物。因此,可以从微样本中检测多种血液蛋白质,符合临床要求,例如,可以监测患者的营养或炎症状态。这种分析方法的实施为个性化医疗方法的诊断、监测和风险评估开辟了新的前景。