Method Article
Platelet inventory management based on screening microparticle content in platelet concentrates is a new quality improvement initiative in hospital blood banks. The goal is to differentiate activated from non-activated platelets to optimize the use of platelets. Providing non-activated platelets to hematology-oncology patients might reduce their high risk to become refractory.
Platelet inventory management based on screening microparticle content in platelet concentrates is a new quality improvement initiative for hospital blood banks. Cells fragment off microparticles (MP) when they are stressed. Blood and blood components may contain cellular fragments from a variety of cells, most notably from activated platelets. When performing their roles as innate immune cells and major players in coagulation and hemostasis, platelets change shape and generate microparticles. With dynamic light scattering (DLS)-based microparticle detection, it is possible to differentiate activated (high microparticle) from non-activated (low microparticle) platelets in transfusions, and optimize the use of this scarce blood product. Previous research suggests that providing non-activated platelets for prophylactic use in hematology-oncology patients could reduce their risk of becoming refractory and improve patient care. The goal of this screening method is to routinely differentiate activated from non-activated platelets. The method described here outlines the steps to be performed for routine platelet inventory management in a hospital blood bank: obtaining a sample from a platelet transfusion, loading the sample into the capillary for DLS measurement, performing the DLS test to identify microparticles, and using the reported microparticle content to identify activated platelets.
The interest in microparticles has revolved mostly around their involvement in cell to-cell communication and biological processes.1,2,3 More recently, microparticles have also attracted interest as potential early diagnostic markers of autoimmune and cardiovascular diseases.4,5 Microparticles, also known as extracellular vesicles or exosomes, have been widely investigated by flow cytometry. Unfortunately, despite efforts to standardize conventional flow cytometry protocols there is no consensus on the optimal protocol to use.6,7,8,9,10
Although conventional flow cytometry can characterize specific MP subpopulations,11 it has several reported limitations.11,12,13,14 Some of these limitations have been addressed by using higher power lasers and detectors in a so-called "small particles option",15,16 as well as detection at 15°-25° forward scatter angle and modified sheath pressure.17,18 Nevertheless, a quick and easy-to-use screening method that can be combined with these sophisticated methods is still needed to utilize microparticles as early diagnostic markers. Elevated levels of microparticles are detectable in about one third of normal blood donors19 and might indicate subclinical conditions. Consequently, high microparticle levels in donated blood products might be incompatible with vulnerable recipients.20
When providing platelet transfusions, there is a risk of non-immune refractoriness - a condition wherein a patient's body rejects consecutive transfusions and does not allow a significant portion of platelets to circulate.21,22 Non-immune refractoriness can result in wasted transfusions, health complications for patients, and extended hospital stays.23 Platelet transfusions containing high numbers of microparticles can be a contributing factor for the development of non-immune refractoriness in vulnerable hematology-oncology patients.20 It is possible to manage the platelet inventory according to the composition of platelet transfusions by screening for microparticles thereby reducing the risk for vulnerable patients. However, most microparticle tests require isolation of microparticles from platelets5,12 or are otherwise very labor intensive24,25 and can therefore not be implemented routinely in hospital blood banks.
The technique described here uses dynamic light scattering (DLS) - also known as photon correlation spectroscopy or quasi-elastic light scattering. For decades, dynamic light scattering has been extensively used in the pharmaceutical industry to characterize liposomal drug formulations or emulsions where particle sizes are in the sub-micron range.26,27 However, tools developed for these applications are not optimized to screen blood products. A new DLS system was developed to overcome technical limitations and make dynamic light scattering useful for screening of platelet transfusions.28
Dynamic light scattering measurements are performed by illuminating the suspended particles with laser light and analyzing the time variation of the scattered light intensity which is a consequence of particles moving in suspension. Further, this method uses the inverse relationship between particle speed and size - small particles move fast and large particles move slowly - to provide information on the size distributions and relative concentrations of the sample components. Using DLS, the mean microparticle content and mean radius of the microparticle component can be quantified. The content of microparticles in the blood product is given as %MP based on the area in the measured histogram for particle radii from 50 - 550 nm. While particles with radii below 50 nm are detected by DLS and reported by the DLS system, they are not included in %MP. Rather than isolating microparticles from platelets, the heterogeneity of platelet transfusions is determined based on the relative content of microparticles and platelets in a sample. In fact, the ratio of the platelet and microparticle peaks can be used to calculate the absolute MP concentration when the platelet count is known.19
The DLS system provides health care professionals with qualitative and quantitative information about microparticles found in specimens derived from human blood or blood products. The main advantage of the described DLS technique over alternative techniques such as flow cytometry, electron microscopy,29 nanoparticle tracking analysis30 or tunable resistive pulse sensing31 is the sample preparation: aliquots of platelet concentrates can be directly measured without the need to isolate MP from platelets, sample dilution or other modifications.9,17 In addition, DLS is an absolute sizing method and does not suffer from the lack of calibration beads with appropriate refractive index.14,32
A correlation between platelet activation and MP content has previously been shown by microscopy33,20 and can be inferred from the increase in MP content in pathological conditions15,34,35,36 and under in vitro conditions known to activate platelets.19,37,38 However, further studies are needed to fully understand the relationship of DLS-measured microparticle content and platelet activation. Based on our current knowledge that activated platelets contain high numbers of microparticles, they are best used for therapeutic treatment of actively bleeding patients39, while hematology-oncology patients benefit from non-activated platelets with no or low levels of microparticles20. It has recently been reported that in vitro responsiveness of donor platelets did not significantly impact the recovery and survival of these platelets in single transfusions to stable, mostly non-bleeding hematology-oncology patients40. From this finding, it might be concluded that platelet activation identified by high MP content also plays no significant role in the prophylactic treatment of patients. However, due to the narrow selection of patients, this study did not address the impact of donor factors for complex patients who are febrile (excluded from the study), not stable and receive many more than just one platelet transfusion. The question how the complexity of these patient cases can be reduced - which holds the promise to reduce refractoriness - remains unanswered.
Microparticles are early markers of inflammation41,42,43,44 and platelet activation45 and are therefore detected in many normal donors.19 Consequently, activated platelets and microparticles are present in the platelet donations. It is reasonable to hypothesize that patients with fever, i.e., a fully activated innate immune system, cannot tolerate the additional challenge of a transfusion of activated platelets. However, studies are needed to prove this hypothesis. Microparticle screening can alleviate the current uncertainty about the content of platelet transfusions and reduce the complexity of patient treatment.
The ratio of activated to non-activated platelets in a hospital blood bank depends primarily on the donor population and to a much lesser degree on transport, irradiation, pathogen inactivation and other processes that might increase platelet activation in concentrates.19 Data from major hospital blood banks in the United States showed that the average composition of the platelet inventory is 49% activated and 51% non-activated (range for activated platelets: 38 - 62%, personal communications). If blood product providers or hospital blood banks want to know how many activated and non-activated platelet concentrates they produce or receive, and want to manage their inventory based on platelet activation as indicated by microparticle content, this protocol might be appropriate for them.
Based on platelet composition a hospital blood bank will be able to direct non-activated, homogeneous platelets for prophylactic use and activated, heterogeneous platelets for therapeutic use. Platelet screening allows hospitals to maximize usage of available inventory which improves patient care and decreases cost. This protocol is intended for laboratory personnel who are familiar with basic handling and manipulation of blood products.
Presented here is a screening method for microparticles in platelet transfusions that can be routinely applied to manage hospital blood bank inventory where selecting product based on microparticle content is desirable. The objective of this protocol is to outline the implementation and evaluation of DLS for screening of donated platelets. The described protocol addresses the common questions of non-invasive access to samples, integration of the testing into the blood bank work flow, and performance characteristics.
The following protocol has been performed in compliance with all Canadian Blood Services (CBS) guidelines. Volunteers gave consent that their donations could be used to carry out these studies. Platelet concentrates were prepared according to CBS standard operating procedures. All performance testing described here was carried out at the Centre for Blood Research at the University of British Columbia, Vancouver, Canada with institutional Research Ethics Board approval.
1. Quality Control Check
2. Obtaining a sample from a platelet concentrate
NOTE: These steps describe the process for non-invasive sampling from the platelet transfusion into the DLS testing capillary for routine platelet inventory management. An overview is shown in Figure 1. Required accessories: tube sealer, manual tube stripper, scissors, and splash shield.
3. Filling the sample into the DLS testing capillary
4. Performing the DLS test
Figure 1: Method overview. Overview of the steps to be performed for routine platelet inventory management in a hospital blood bank: obtaining a sample from a platelet concentrate, loading the sample into the capillary for DLS measurement, performing the DLS test to identify microparticles and using the reported microparticle content to identify activated platelets. Please click here to view a larger version of this figure.
Average preparation time
The platelet screening process using a DLS system is summarized in Figure 1. Platelets are tested with the DLS system at the time of receipt from the blood supplier. As detailed in Table 1 , the average preparation time for trained users is 2 min 23 s while the clean-up and post-test work times are 14 s and 46 s, respectively. In total, the average user takes 3 min and 23 s of hands-on time per test.
Activity | Active time | Walk-away testing time | TOTAL |
Prepare DLS System | 14 s | ||
Assemble sampling tool | 28 s | ||
Obtain segment | 52 s | ||
Fill capillary and start test | 49 s | ||
5 min | |||
Clean-up | 14 s | ||
Tag and inventory platelet bag | 46 s | ||
Total time needed per sample | 3 min 23 s | 5 min | 8 min 23 s |
Table 1: Active testing time breakdown. The test itself is a walk away test with an average duration of 5 min. The average user takes 3 min 23 s to prepare the DLS system for a test, obtain and test a sample following this protocol, and tag the platelet bag.
Precision
The precision of the DLS system was assessed at three microparticle levels, 0-7%, 12-25% and 28-75%. The clinically relevant range of %MP is 3 - 75%. Two operators tested low, medium, and high control samples for 16 operating days on two DLS systems in parallel. Samples were tested in duplicate, but in random order on each testing day.
Table 2 summarizes the within-device precision of the DLS measurements for Percent Microparticles (%MP) relative to platelets.
Microparticle Content | |||
Low | Medium | High | |
Mean %MP (%) | 4.4 | 19.5 | 53.8 |
Standard deviation (%) | 1.8 | 2.6 | 5.8 |
CV (%) | 40.4 | 13.2 | 10.6 |
Table 2: Within-device precision of Percent Microparticles (%MP). At very low microparticle content small platelets may contribute to %MP resulting in increased variability for low microparticle content samples.
Table 3 shows the within-device precision of the DLS measurements for average microparticle radius between 50-550 nm.
Microparticle Content | |||
Low | Medium | High | |
Mean Radius (nm) | 331 | 161 | 188 |
Standard deviation (mm) | 133 | 41 | 25 |
CV (%) | 40.1 | 25.2 | 13.5 |
Table 3: Within-device precision of microparticle radius. At very low microparticle content small platelets may contribute to Percent Microparticles (%MP) resulting in increased variability for low microparticle content samples.
Table 4 shows the reproducibility of DLS measurements for Percent Microparticles (%MP).
Microparticle Content | |||
Low | Medium | High | |
Mean %MP (%) | 4.4 | 29.2 | 53.6 |
Reproducibility (%) | 1.5 | 2.3 | 5 |
CV (%) | 35 | 11.8 | 9.4 |
Table 4: Reproducibility of Dynamic Light Scattering (DLS) measurements for Percent Microparticles (%MP).
Linearity
Figure 2 shows that DLS results are linear, i.e., fit a straight line with respect to the assigned values of the samples. Seven samples were prepared with differing microparticle content. Samples with high (MP7) and low (MP1) microparticle content and matching platelet concentration were prepared and mixed at different ratios to create intermediate samples (MPx). Samples were tested with flow cytometry as described previously19 and DLS and %MP results at each concentration were plotted as input and output. The coefficient of determination was found to be 0.985. Examples of DLS histograms for low and high microparticle content are shown in Figure 3A. The DLS results were confirmed by flow cytometry (Figure 3B).
Figure 2: Comparison of flow cytometry and DLS results. Linear relationship between %MP determined by Flow Cytometry (input) and DLS (output), the original DLS data from the two samples marked by the open symbol ○ are shown in Figure 3. Please click here to view a larger version of this figure.
Figure 3: Microparticle content to differentiate between activated and non-activated platelets. (A) DLS results of MP content in activated platelets (dashed line) was 57% compared to 4% in non-activated platelets (solid line). Tests were performed at a measurement temperature of 37 °C, plasma viscosity setting of 1.06 x10-3 Pa·s, and total intensity settings between 200-600 kHz. (B) Flow cytometry results (obtained as described previously19) of the same samples as shown in (A); in the forward scatter histograms P1 and P2 represent the MP and platelet gates, respectively; for activated platelets (left) 76% of events fell into the MP gate compared to 6% for non-activated platelets (right). The linear regression line suggests a constant relative contribution of background noise to %MP by flow cytometry leading to the consistently higher results. Please click here to view a larger version of this figure.
Specificity/Interference
The International Organization for Standardization (ISO) defines analytical specificity as the ability of a measurement procedure to detect or measure only the measurand while there are other quantities present in the sample. The analytical specificity of microparticle screening might be affected by red blood cells (RBC). DLS measures MP content relative to platelet content. RBC might interfere because the scattering contribution of RBC is included in the scattering contribution of platelets, reducing the relative contribution of MP. Regulatory limits for the allowable RBC content in blood products exist; a conservative conversion of the threshold recommended by AABB for allowable RBC concentration in platelet concentrates-2 mL of packed RBC in one unit of platelets-resulted in 8.0 x1010 cells/L (assumptions: RBC volume is 8.5 x10-14L, hematocrit of packed RBC is 68%, volume of platelet unit is 200 mL). The reported residual RBC concentrations in different products are well below this threshold46.
Three different donors donated platelets and red blood cells (RBC) on two different days, as eligible, for three independent experiments. The initial RBC content in the platelet concentrates (reference sample) was 0.05 - 0.15 x109 cells/L as determined with a hemocytometer. Five additional samples were created by spiking-in known quantities of RBC into aliquots of the platelet concentrate; target RBC levels in these samples were 1.0, 5.0, 10, 40 and 80 x109 cells/L.
The interference threshold of red blood cells was approximately 1.0 x1010 cells/L (Figure 4), which also correlated with the level at which the presence of red blood cells was visually evident (Figure 5). Above this level, %MP was underestimated which means that in visually red samples-which contain RBC rather than hemoglobin-the reported microparticle content will be too low.
Figure 4: Linear relationship between %MP (DLS) and RBC Concentration (cells/L). Increasing RBC concentrations of 0.1 x109, 1.0 x109, 5.0 x109, 1.0 x1010, 4.0 x1010, and 8.0 x1010 cells/L (from left to right) from 3 independent experiments (○ experiment 1, ● experiment 2, □ experiment 3, linear regression lines are shown for each experiment). Above 1.0 x1010 RBC/L leads to underestimation of %MP. Visual appearance of RBC containing samples is shown in Figure 5. Please click here to view a larger version of this figure.
Figure 5: Visual appearance of RBC containing samples. Redness of platelet samples containing RBC concentrations of 0.1 x109, 1.0 x109, 5.0 x109, 1.0 x1010, 4.0 x1010, and 8.0 x1010 cells/L from left to right. Please click here to view a larger version of this figure.
Accuracy
Accuracy is defined as the difference between a single measurement result and a true quantity value assigned to the sample. This measurement error includes a systematic component estimated by measurement bias and a random component estimated by a standard deviation. Thus, the accuracy of a measurement result is a combination of trueness and precision.
A bead standard was used to determine the accuracy of the DLS test. Accuracy was evaluated at two concentrations within the clinically relevant range of the assay of 3 - 75% MP. Reference bead mixtures were used to prepare samples of known concentrations because reference beads have a known size and concentration. Consequently, reference beads can be mixed to obtain samples with desired particle sizes and concentrations.
Standard polystyrene beads with a 125 nm radius were used to represent microparticles and beads with 1.5 µm radius were used to represent platelets. The accuracy of the microparticle assay was assessed with bead mixtures of approximately 20% and 50% MP content. The accuracy of the measured particle radii was compared to the particle radii documented on the Certificates of Analysis for the reference beads as shown in Table 5.
125 nm beads | 1.5 µm beads | |||||
Certificate of Analysis | Certificate of Analysis | |||||
20% MP | 50% MP | 20% MP | 50% MP | |||
Mean Radius | 122.0 | 113.8 | 124.4 | 1.5 | 1.6 | 1.60 |
Std Dev | 4.5 | 2.83 | 3.6 | 0.035 | 0.06 | 0.07 |
CV | 3.60% | 2.48% | 2.89% | 2.20% | 3.74% | 4.05% |
Accuracy | 6.70% | 2.00% | 6.50% | 6.30% |
Table 5: Accuracy of Dynamic Light Scattering (DLS) measurements. Size comparison for DLS results against certificate of analysis for beads with 125 nm radius and 1.5 µm radius in mixtures.
This protocol describes a dynamic light scattering method for microparticle screening optimized for the high particle concentrations found in biological samples such as platelet concentrates. The method of DLS is inherently standardized to accurately measure size. The relative concentration of microparticles can be converted into an absolute concentration if the platelet concentration is known and the platelet peak area is used as the reference peak19. As platelet concentrations are usually obtained with hematology analyzers or flow cytometers these methods can be considered companion technologies to DLS.
The functionality of the DLS system is insured by running control beads regularly. Distilled water can be measured to verify that background noise is minimal. Commercially available platelet standards can be analyzed as MP-negative controls and, after addition of 125 nm radius beads, as MP-positive controls. Within the biological range of MP concentrations of interest, the procedures are practical and quick to perform as part of the blood bank routine.
As opposed to flow cytometry, this method is not based on comparing the scattering intensities of particles but rather the speed of their Brownian motion. Thus, exosomes can also be detected despite their small size and are reported separately from MP.
Designed as a screening tool, the limitations of this method are related to its inability to differentiate between different types of microparticles. There is potential room for improvement if additional isolation steps are used; samples could be tested before and after the specific removal of microparticles through antibody coupled magnetic bead capture. In addition, it cannot be assumed that all detected microparticles are cell derived because chylomicrons formed in hyperlipidemia47,48 and small bacteria or viruses6 will also be reported in the microparticle range. However, other safeguards exist within the blood supply to avoid highly lipemic or contaminated platelets to enter the hospital blood bank inventory.
The choice of anticoagulant in the sample affects the extent of platelet activation and therefore the MP content49. For comparisons of different products this factor needs to be considered. Furthermore, exchange of plasma with MP free suspension media such as PAS will affect the MP content and the threshold for determining heterogeneity-if only about one third of the original MP content is left within the residual plasma in the concentrate an accordingly lower MP content threshold will indicate the same level of platelet activation as in 100% plasma. Percent MP is the MP content relative to platelets. It was previously reported that the average platelet count of PAS product was lower so that the average %MP was still 9.5%19. The %MP threshold for PAS platelets licensed in the US is currently set to 10%.
While the primary source of MP in platelet concentrates is the donor, processes that cause stress to platelets will increase the MP level depending on the susceptibility of the platelets to stress-if platelets are already highly activated, minor stressors such as extended shelf life, pathogen inactivation, washing, irradiation or long-distance transport could lead to significant increase in MP content. None of these stressors have been shown to significantly affect homogeneous, non-activated platelets19. In addition, attention should be paid to the potential for changes in sample composition within the capillary if not tested immediately after preparation (completion of Step 3 of this protocol).
The focus of this protocol is on determining the composition of particles present in platelet transfusions and to use microparticles as biomarkers of platelet activation. The platelet transfusions are tagged as either non-activated (orange) or activated (pink) based on a microparticle percentage threshold of 15%. The threshold of 15% MP for platelets in 100% plasma was empirically determined as the average 66th percentile from multiple sites.
The objective of platelet inventory management based on routine microparticle screening with DLS is to improve patient care and drive cost efficiencies by preventing non-immune platelet refractoriness. The implementation of the DLS system for screening of platelet bags will enable the user to direct non-activated platelets to patient populations most at risk for developing platelet refractoriness.
EMS is the founder of LightIntegra Technology Inc., a medical device company to develop the ThromboLUX System for microparticle and platelet quality testing. All other authors are employees of LightIntegra Technology. Production and Free Access to this article are sponsored by LightIntegra Technology Inc.
We thank the blood donors and the personnel at Canadian Blood Services Network Centre for Applied Development for collection and production of the platelet units used in this study. We acknowledge the Canada Foundation for Innovation and the Michael Smith Foundation for Health Research for infrastructure funding at the UBC Centre for Blood Research. Funding for the publication was provided by LightIntegra Technology Inc., manufacturer of ThromboLUX.
Name | Company | Catalog Number | Comments |
ThromboLUX-M | LightIntegra Technology Inc. | LPN120 | DLS System |
ThromboSight Software | LightIntegra Technology Inc. | LPN124 | DLS analysis software |
Capillaries | LightIntegra Technology Inc. (included in test kit, vendor Optinova MLE) | LPN065 | Custom extruded non-activating, non-birefringent plastic tube, inspected and irradiated |
MiniPet | LightIntegra Technology Inc. (included in test kit, vendor TriContinent Scientific) | LPN082 | 100 µL fixed volume pipette for sampling |
MicroFlex 1-200 µL Pipette tips | LightIntegra Technology Inc. (included in test kit, vendor ESBE Scientific) | LPN080 | Pipette tips for sampling |
Critoseal | LightIntegra Technology Inc. (included in test kit, vendor Fisher Scientific) | LPN075 | Capillary Tube Sealant |
Dukal Alcohol Pad or equivalent | LightIntegra Technology Inc. (included in test kit, vendor Dukal Corp.) | LPN085 | Isopropyl pad (saturated with 70% isopropyl alcohol) |
Control beads, 50 nm radius | LightIntegra Technology Inc. (included in test kit, vendor PolySciences Inc.) | LPN128 | Control beads |
Microbead NIST Traceable Particle Size Standard, 3 µm | PolySciences Inc. | 64060 | Standard microbeads: 1.5 µm radius Polystyrene beads; range 1.43-1.58 µm; 1% solids suspensions in de-ionized water |
Nanobead NIST Traceable Particle Size Standard, 250 nm | PolySciences Inc. | 64014-15 | Standard nanobeads: 125 nm radius Polystyrene beads; range 120 - 130 nm; 1% solids suspensions in de-ionized water |
Genesis BPS RapidSeal II or equivalent | Genesis BPS | 428-SE640 | Tube sealer |
Fresenius Kabi Tube Stripper or equivalent | Fresenius Kabi | 6R4452 | Manual tube stripper |
Biohazard Shield - Cell Counter or equivalent | CardinalHealth | S1389-75 | Splash Shield |
Corning LSE Vortex Mixer or equivalent | Corning Incorporated | 6775 | Vortex mixer |
FACSCanto II Flow cytometer with FACSDiva software version 6.1.3 or equivalent | BD Biosciences | 338960 | Flow cytometer |
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