A comprehensive proteomics study on platelet concentrates: Platelet proteome, storage time and Mirasol pathogen reduction technology. (3rd April 2019)

• Record Type: Journal Article
• Authors: Salunkhe, Vishal; De Cuyper, Iris M.; Papadopoulos, Petros; van der Meer, Pieter F.; Daal, Brunette B.; Villa-Fajardo, María; de Korte, Dirk; van den Berg, Timo K.; Gutiérrez, Laura
• Is Part Of: Platelets. Volume 30:Number 3(2019)
• Page Start: 368
• Page End: 379
• Publication Date: 2019-04-03
• Subjects: Blood safety -- pathogen inactivation technologies -- platelet function tests -- platelet transfusion -- proteomics -- storage time; Blood platelets -- Periodicals; Blood Platelets -- Periodicals; 615.39
• DOI: 10.1080/09537104.2018.1447658
• Languages: English
• ISSNs: 0953-7104

Abstract

Abstract: Platelet concentrates (PCs) represent a blood transfusion product with a major concern for safety as their storage temperature (20–24°C) allows bacterial growth, and their maximum storage time period (less than a week) precludes complete microbiological testing. Pathogen inactivation technologies (PITs) provide an additional layer of safety to the blood transfusion products from known and unknown pathogens such as bacteria, viruses, and parasites. In this context, PITs, such as Mirasol Pathogen Reduction Technology (PRT), have been developed and are implemented in many countries. However, several studies have shown in vitro that Mirasol PRT induces a certain level of platelet shape change, hyperactivation, basal degranulation, and increased oxidative damage during storage. It has been suggested that Mirasol PRT might accelerate what has been described as the platelet storage lesion (PSL), but supportive molecular signatures have not been obtained. We aimed at dissecting the influence of both variables, that is, Mirasol PRT and storage time, at the proteome level. We present comprehensive proteomics data analysis of Control PCs and PCs treated with Mirasol PRT at storage days 1, 2, 6, and 8. Our workflow was set to perform proteomics analysis using a gel-free and label-free quantification (LFQ) approach. Semi-quantification was based on LFQ signal intensities of identified proteins using MaxQuant/Perseus software platform. Data are available via ProteomeXchange with identifier PXD008119. We identified marginal differences between Mirasol PRT and Control PCs during storage. However, those significant changes at the proteome level were specifically related to the functional aspects previously described to affect platelets upon Mirasol PRT. In addition, the effect of Mirasol PRT on the platelet proteome appeared not to be exclusively due to an accelerated or enhanced PSL. In summary, semi-quantitative proteomics allows to discern between proteome changes due to Mirasol PRT or PSL, and proves to be a methodology suitable to phenotype platelets in an unbiased manner, in various physiological contexts.