(1) Background: In a previous study, we found that two phenotypes related to platelet reactivity, measured with the PFA-100 system, were highly heritable. The aim of the present study was to identify genetic determinants that influence the variability of these phenotypes: closure time of collagen-ADP (Col-ADP) and of collagen-epinephrine (Col-Epi). (2) Methods: As part of the GAIT-2 (Genetic Analysis of Idiopathic Thrombophilia (2) Project, 935 individuals from 35 large Spanish families were studied. A genome-wide association study (GWAS) with ≈ 10 M single nucleotide polymorphisms (SNPs) was carried out with Col-ADP and Col-Epi phenotypes. (3) Results: The study yielded significant genetic signals that mapped to the ABO locus. After adjusting both phenotypes for the ABO genotype, these signals disappeared. After adjusting for von Willebrand factor (VWF) or for coagulation factor VIII (FVIII), the significant signals disappeared totally for Col-Epi phenotype but only partially for Col-ADP phenotype. (4) Conclusion: Our results suggest that the ABO locus exerts the main genetic influence on PFA-100 phenotypes. However, while the effect of the ABO locus on Col-Epi phenotype is mediated through VWF and/or FVIII, the effect of the ABO locus on Col-ADP phenotype is partly produced through VWF and/or FVIII, and partly through other mechanisms.
15 December 2020 in Blood Coagulation & Fibrinolysis
The aim of the study was to determine whether platelet hyperaggregability correlates with short closure times (PFA-100) and if hyperaggregability is associated with the risk of venous thrombosis in a Spanish population. Case--control study (RETROVE project) involving 400 patients with venous thrombosis and 400 healthy controls. We determined platelet aggregation in platelet-rich plasma (PRP) by light transmission aggregometry. Various concentrations of two aggregation agonists [ADP and epinephrine (EPI)] were tested to determine the percentage of maximal aggregation and the percentage area under the curve (AUC). Venous thrombosis risk associated with platelet hyperaggregability was calculated by logistic regression. We estimated the crude and adjusted (by sex and age) odds ratios (OR) for venous thrombosis risk. An agonist concentration of 0.5 μmol/l differentiated between hypo-responders and hyper-responders at the following AUC cut-off values: EPI: the 50th percentile for aggregation with 0.5 μmol/l of EPI (EPI_AUC) was 22.53% (>22.53% = hyper-EPI); the crude risk for venous thrombosis was statistically significant (OR = 1.37; 95% CI 1.03–1.82); ADP: the 75th percentile for aggregation with 0.5 μmol/l of ADP (ADP_AUC) was 29.6% (>29.6% = hyper-ADP), with a significant crude risk for venous thrombosis (OR = 1.44; 95% CI 1.05–1.98). However, after adjustment for confounders (age), the ORs for EPI or ADP aggregation were no longer significant. EPI_AUC and PFA-100 values with the EPI agonist were significantly correlated (R = −0.342, P < 0.01). Only 12% of the PFA-100 values were explained by platelet aggregation. In this case--control study, platelet hyperaggregability was not associated with the risk of developing venous thrombosis.
Background: The present work evaluates the association between circulating concentrations of Trimethylamine-N-oxide (TMAO), gamma butyrobetaine (γBB), and trimetyllisine (TML) in controls and patients with venous thromboembolism (VTE) with coagulation parameters. Methods: The study involved 54 VTE patients and 57 controls. Platelet function, platelet hyperreactivity, platelet adhesiveness, thrombosis-associated parameters, and thrombin generation parameters were studied. Plasma TMAO, γBB, and TML determination was performed using an ultra-high-performance liquid chromatography system coupled with mass spectrometry. Results: No differences were found for TMAO, γBB, or TML concentrations between controls and VTE patients. In thrombin generation tests, TMAO, γBB, and TML showed a positive correlation with lag time and time to peak. TMAO, γBB, and TML negatively correlated with peak height. No significant differences were observed regarding TMAO, γBB, and TML concentrations between the two blood withdrawals, nor when the control and VTE patients were analyzed separately. No correlation was observed between these gut metabolites and platelet function parameters. Conclusions: No differences were found regarding TMAO, γBB, and TML concentrations between the control and VTE groups. Some correlations were found; however, they were mild or went in the opposite direction of what would be expected if TMAO and its derivatives were related to VTE risk.