New Perspectives of Multiplex Mass Spectrometry Blood Protein Quantification on Microsamples in Biological Monitoring of Elderly Patients

• Published in: International journal of molecular sciences Vol. 24; no. 8; p. 6989
• Main Authors: Vialaret, Jérôme, Vignon, Margaux, Badiou, Stéphanie, Baptista, Gregory, Fichter, Laura, Dupuy, Anne-Marie, Maceski, Aleksandra Maleska, Fayolle, Martin, Brousse, Mehdi, Cristol, Jean-Paul, Jeandel, Claude, Hirtz, Christophe, Lehmann, Sylvain
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.04.2023; MDPI
• Subjects: Activities of Daily Living; Aged; Aged patients; Apolipoproteins; Biological Monitoring; Blood Proteins; clinical chemistry; Communication; Comparative analysis; DBS; Evidence-based medicine; Humans; LC-MS; Life Sciences; Mass spectrometry; microsampling; Specimen Handling; Tandem Mass Spectrometry - methods; France; LC-MS; microsampling; DBS; clinical chemistry
• ISSN: 1422-0067; 1661-6596; 1422-0067
• 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.