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. 2017 May;15(3):239-248.
doi: 10.2450/2017.0318-16.

Red blood cells ageing markers: a multi-parametric analysis

Affiliations

Red blood cells ageing markers: a multi-parametric analysis

Manon Bardyn et al. Blood Transfus. 2017 May.

Abstract

Background: Red blood cells collected in citrate-phosphate-dextrose can be stored for up to 42 days at 4 °C in saline-adenine-glucose-mannitol additive solution. During this controlled, but nevertheless artificial, ex vivo ageing, red blood cells accumulate lesions that can be reversible or irreversible upon transfusion. The aim of the present study is to follow several parameters reflecting cell metabolism, antioxidant defences, morphology and membrane dynamics during storage.

Materials and methods: Five erythrocyte concentrates were followed weekly during 71 days. Extracellular glucose and lactate concentrations, total antioxidant power, as well as reduced and oxidised intracellular glutathione levels were quantified. Microvesiculation, percentage of haemolysis and haematologic parameters were also evaluated. Finally, morphological changes and membrane fluctuations were recorded using label-free digital holographic microscopy.

Results: The antioxidant power as well as the intracellular glutathione concentration first increased, reaching maximal values after one and two weeks, respectively. Irreversible morphological lesions appeared during week 5, where discocytes began to transform into transient echinocytes and finally spherocytes. At the same time, the microvesiculation and haemolysis started to rise exponentially. After six weeks (expiration date), intracellular glutathione was reduced by 25%, reflecting increasing oxidative stress. The membrane fluctuations showed decreased amplitudes during shape transition from discocytes to spherocytes.

Discussion: Various types of lesions accumulated at different chemical and cellular levels during storage, which could impact their in vivo recovery after transfusion. A marked effect was observed after four weeks of storage, which corroborates recent clinical data. The prolonged follow-up period allowed the capture of deep storage lesions. Interestingly, and as previously described, the severity of the changes differed among donors.

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Conflict of interest statement

Disclosure of conflicts of interest

BR also works part-time for Lyncée Tec which commercialises the DHM used in this study. The other Authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Red blood cells (RBC) aging markers for erythrocyte concentrates (ECs) 1–5 stored during 71 days. (A) Haematologic data (RBC count, mean RBC corpuscular volume [MCV] and RBC distribution width [SD-RDW]); (B) metabolic (glucose and lactate concentrations); (C) antioxidant (global antioxidant power [AOP] and intracellular reduced glutathione [GSH] concentration); (D) microvesicles (MVs) and haemolysis; data for ECs 1–5 stored during 71 days. Individual (symbols) and mean values (dotted line) are presented ± standard deviation.
Figure 2
Figure 2
DHM analysis of red blood cells (RBC) for erythrocyte concentrates (ECs) 1–5 stored during 71 days. (A) Morphology of RBC population (standard deviation of the optical path difference distribution, SD-OPD) and single-cell (CellProfiler and CellProfiler Analyst); (B) cell membrane fluctuations (CMF) map for different classes of RBCs, and (C) CMF changes for discocytes (left) and spherocytes (right). Twelve images (3 wells per EC and 4 images per well) and 3 movies (1 per well) were acquired for each EC. Mean values are presented ± standard deviation.

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