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Abstract
Background
Heparin induced thrombocytopenia (HIT) is likely a misdirected bacterial host defense mechanism. Platelet factor 4 (PF4) binds to polyanions on bacterial surfaces exposing neo‐epitopes to which HIT antibodies bind. Platelets are activated by the resulting immune complexes via FcγRIIA, release bactericidal substances, and kill Gram‐negative Escherichia coli.
Objectives
To assess the role of PF4, anti‐PF4/H antibodies and FcγRIIa in killing of Gram‐positive bacteria by platelets.
Methods
Binding of PF4 to protein‐A deficient Staphylococcus aureus (SA113Δspa) and non‐encapsulated Streptococcus pneumoniae (D39Δcps) and its conformational change were assessed by flow cytometry using monoclonal (KKO,5B9) and patient derived anti‐PF4/H antibodies. Killing of bacteria was quantified by counting colony forming units (cfu) after incubation with platelets or platelet releasate. Using flow cytometry, platelet activation (CD62P‐expression, PAC‐1 binding) and phosphatidylserine (PS)‐exposure were analyzed.
Results
Monoclonal and patient‐derived anti‐PF4/H antibodies bound in the presence of PF4 to both S. aureus and S. pneumoniae (1.6‐fold increased fluorescence signal for human anti‐PF4/H antibodies to 24.0‐fold increase for KKO). Staphylococcus aureus (5.5 × 104cfu/mL) was efficiently killed by platelets (2.7 × 104cfu/mL) or their releasate (2.9 × 104cfu/mL). Killing was not further enhanced by PF4 or anti‐PF4/H antibodies. Blocking FcγRIIa had no impact on killing of S. aureus by platelets. In contrast, S. pneumoniae was not killed by platelets or releasate. Instead, after incubation with pneumococci platelets were unresponsive to TRAP‐6 stimulation and exposed high levels of PS.
Conclusions
Anti‐PF4/H antibodies seem to have only a minor role for direct killing of Gram‐positive bacteria by platelets. Staphylococcus aureus is killed by platelets or platelet releasate. In contrast, S. pneumoniae affects platelet viability.
‘Chameleonic' Serological Findings Leading to Life-Threatening Hemolytic Transfusion Reactions
(2015)
Background: The phenomena of co-incidence of transfusion-induced allo- and autoantibodies, blockage and/or loss of red blood cell (RBC) antigens are conspicuous and may result in confusion and misdiagnosis. Case Report: A 67-year-old female was transferred to the intensive care unit due to hemolysis which developed 2 days following transfusion of three Rh(D)-negative RBC units in the presence of strongly reactive autoantibodies. Standard serological testing and genotyping were performed. Upon arrival, the patient was typed as Ccddee. Her hemolysis was decompensated, and an immediate blood transfusion was required. In addition, direct and indirect antiglobulin tests (DAT and IAT) as well as the eluate were strongly positive. Emergency transfusion of Rh(D)-negative RBCs resulted in increased hemolysis and renal failure. An exhaustive testing revealed anti-D, anti-c, CCddee phenotype and CCD.ee genotype. Three units of cryopreserved CCddee RBCs were transfused, and the patient's condition immediately improved. The discrepancy between Rh-D phenotyping and genotyping was likely caused by masking of the D-epitopes by the autoantibodies. In fact, further enquiry revealed that the patient had been phenotyped as Rh(D)-positive 6 months ago and had been transfused at that time following hip surgery. Conclusion: The phenomena of transfusion-induced autoantibodies, masked alloantibodies, antigen blockage and/or loss are rare but important features which should be considered in patients presenting with autoimmune hemolytic anemia and/or hemolytic transfusion reactions.
Platelets transfusion is a safe process, but during or after the process, the recipient may experience an adverse reaction and occasionally a serious adverse reaction (SAR). In this review, we focus on the inflammatory potential of platelet components (PCs) and their involvement in SARs. Recent evidence has highlighted a central role for platelets in the host inflammatory and immune responses. Blood platelets are involved in inflammation and various other aspects of innate immunity through the release of a plethora of immunomodulatory cytokines, chemokines, and associated molecules, collectively termed biological response modifiers that behave like ligands for endothelial and leukocyte receptors and for platelets themselves. The involvement of PCs in SARs—particularly on a critically ill patient’s context—could be related, at least in part, to the inflammatory functions of platelets, acquired during storage lesions. Moreover, we focus on causal link between platelet activation and immune-mediated disorders (transfusion-associated immunomodulation, platelets, polyanions, and bacterial defense and alloimmunization). This is linked to the platelets’ propensity to be activated even in the absence of deliberate stimuli and to the occurrence of time-dependent storage lesions.
: Platelets are components of the blood that are highly reactive, and they quickly respond
to multiple physiological and pathophysiological processes. In the last decade, it became clear that
platelets are the key components of circulation, linking hemostasis, innate, and acquired immunity.
Protein composition, localization, and activity are crucial for platelet function and regulation. The
current state of mass spectrometry-based proteomics has tremendous potential to identify and quantify thousands of proteins from a minimal amount of material, unravel multiple post-translational
modifications, and monitor platelet activity during drug treatments. This review focuses on the role
of proteomics in understanding the molecular basics of the classical and newly emerging functions
of platelets. including the recently described role of platelets in immunology and the development
of COVID-19.The state-of-the-art proteomic technologies and their application in studying platelet
biogenesis, signaling, and storage are described, and the potential of newly appeared trapped ion
mobility spectrometry (TIMS) is highlighted. Additionally, implementing proteomic methods in
platelet transfusion medicine, and as a diagnostic and prognostic tool, is discussed.
Background: Annual transfusion rates in many European countries range between 25 and 35 red blood cell concentrates (RBCs)/1,000 population.It is unclear why transfusion rates in Germany are considerably higher (approx. 50–55 RBCs/1,000 population). Methods: We assessed the characteristics of transfusion recipients at all hospitals of the German federal state Mecklenburg-Western Pomerania during a 10-year longitudinal study. Results: Although 75% of patients received ≤4 RBCs/patient in 2015 (1 RBC: 11.3%; 2 RBCs: 42.6%; 3 RBCs: 6.3%; 4 RBCs: 15.0%), the mean transfusion index was 4.6 RBCs due to a minority of patients with a high transfusion demand. Two thirds of all RBCs were transfused to only 25% of RBC recipients. Consistently, male patients received a higher number of RBCs (2005: 54.2%; 2015: 56.8%) and had a higher mean transfusion index than female patients (mean 5.1 ± 7.2; median 2; inter-quartile range [IQR] 2–4 vs. mean 4.0 ± 5.8; median 2; IQR 2–4). The absolute transfusion demand decreased between 2005 and 2015 by 13.5% due to a composite of active reduction (clinical practice change) and population decline in the 65- to 75-year age group (lower birth rate cohort 1940–1950); however, with major differences between hospitals (range from –61.0 to +41.4%). Conclusion: Transfusion demand in a population could largely be driven by patients with high transfusion demand. Different treatment practices in this group of patients probably add to the major differences in transfusion demand per 1,000 individuals between countries. The available data cannot prove this hypothesis. Implementation of a diagnosis-related group-based monitoring system is urgently needed to allow informative monitoring on the population level and meaningful comparisons between transfusion practices.
Background: Securing future blood supply is a major issue of transfusion safety. In this prospective 10-year longitudinal study we enrolled all blood donation services and hospitals of the federal state Mecklenburg-Western Pomerania. Methods and Results: From 2005 to 2015 (time period with major demographic effects), whole blood donation numbers declined by 18%. In male donors this paralleled the demographic change, while donation rates of females declined 12.4% more than expected from demography. In parallel, red cell transfusion rates/1,000 population decreased from 2005 to 2015 from 56 to 51 (-8.4%), primarily due to less transfusions in patients >60 years. However, the transfusion demand declined much less than blood donation numbers: -13.5% versus -18%, and the population >65 years (highest transfusion demand) will further increase. The key question is whether the decline in transfusion demand observed over the previous years will further continue, hereby compensating for reduced blood donation numbers due to the demographic change. The population structure of Mecklenburg-Western Pomerania reflects all Eastern German federal states, while the Western German federal states will reach similar ratios of age groups 18-64 years / ≥65 years about 10 years later. Conclusions: Regular monitoring of age- and sex-specific donation and transfusion data is urgently required to allow transfusion services strategic planning for securing future blood supply.
Introduction: In the light of the ongoing SARS-CoV-2 pandemic, convalescent plasma is a treatment option for COVID-19. In contrast to usual therapeutic plasma, the therapeutic agents of convalescent plasma do not represent clotting factor activities, but immunoglobulins. Quarantine storage of convalescent plasma as a measure to reduce the risk of pathogen transmission is not feasible. Therefore, pathogen inactivation (e.g., Theraflex®-MB, Macopharma, Mouvaux, France) is an attractive option. Data on the impact of pathogen inactivation by methylene blue (MB) treatment on antibody integrity are sparse. Methods: Antigen-specific binding capacity was tested before and after MB treatment of plasma (n = 10). IgG and IgM isoagglutinin titers were tested by agglutination in increasing dilutions. Furthermore, the binding of anti-EBV and anti-tetanus toxin IgG to their specific antigens was assessed by ELISA, and IgG binding to Fc receptors was assessed by flow cytometry using THP-1 cells expressing FcRI and FcRII. Results: There was no significant difference in the isoagglutinin titers, the antigen binding capacity of anti-EBV and anti-tetanus toxin IgG, as well as the Fc receptor binding capacity before and after MB treatment of plasma. Conclusion: MB treatment of plasma does not inhibit the binding capacity of IgM and IgG to their epitopes, or the Fc receptor interaction of IgG. Based on these results, MB treatment of convalescent plasma is appropriate to reduce the risk of pathogen transmission if quarantine storage is omitted.
Abstract
Background
Heparins are usually produced from animal tissues. It is now possible to synthesize heparins. This provides the abilities to overcome shortages of heparin, to optimize biological effects, and to reduce adverse drug effects. Heparins interact with platelet factor 4 (PF4), which can induce an immune response causing thrombocytopenia. This side effect is called heparin‐induced thrombocytopenia (HIT). We characterized the interaction of PF4 and HIT antibodies with oligosaccharides of 6‐, 8‐, 10‐, and 12‐mer size and a hypersulfated 12‐mer (S12‐mer).
Methods
We utilized multiple methodologies including isothermal calorimetry, circular dichroism spectroscopy, single molecule force spectroscopy (SMFS), enzyme immunosorbent assay (EIA), and platelet aggregation test to characterize the interaction of synthetic heparin analogs with PF4 and anti‐PF4/heparin antibodies.
Results
The synthetic heparin‐like compounds display stronger binding characteristics to PF4 than animal‐derived heparins of corresponding lengths. Upon complexation with PF4, 6‐mer and S12‐mer heparins showed much lower enthalpy, induced less conformational changes in PF4, and interacted with weaker forces than 8‐, 10‐, and 12‐mer heparins. Anti‐PF4/heparin antibodies bind more weakly to complexes formed between PF4 and heparins ≤ 8‐mer than with complexes formed between PF4 and heparins ≥ 10‐mer. Addition of one sulfate group to the 12‐mer resulted in a S12‐mer, which showed substantial changes in its binding characteristics to PF4.
Conclusions
We provide a template for characterizing interactions of newly developed heparin‐based anticoagulant drugs with proteins, especially PF4 and the resulting potential antigenicity.