To determine the relationship between thrombin generation and platelet secretion in vivo in diabetes mellitus, we measured simultaneous plasma beta-thromboglobulin (BTG) and fibrinopeptide A (FPA) in 40 insulin-dependent patients without renal disease, and 20 control subjects of similar age. Log mean plasma BTG and FPA were higher in diabetic patients (32.1 vs 23.7 ng/ml, and 2.83 vs 1.49 ng/ml, p less than 0.001 and less than 0.005, respectively). Neither was correlated with plasma glucose or hemoglobin AI. Plasma BTG and FPA were moderately intercorrelated in control subjects (r = +0.36, p = 0.03), but not in diabetic patients (r = +0.09, p = NS). Thus, in diabetes mellitus, thrombin generation as a contributing mechanism to platelet secretion is probably overshadowed by thrombin-independent mechanisms.
Download full-text PDF |
Source |
---|
Anal Chem
January 2025
Department of Chemistry, Capital Normal University, Xisanhuan North Road. 105, Beijing 100048, China.
Continuous and reagentless biomolecular detection technologies are bringing an evolutionary influence on disease diagnostics and treatment. Aptamers are attractive as specific recognition probes because they are capable of regeneration without washing. Unfortunately, the affinity and dissociation kinetics of the aptamers developed to date show an inverse relationship, preventing continuous and reagentless detection of protein targets due to their low dissociation rates.
View Article and Find Full Text PDFMath Biosci Eng
December 2024
Laboratory of Optimization, Design, and Advanced Control, School of Chemical Engineering, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil.
In the pursuit of personalized medicine, there is a growing demand for computational models with parameters that are easily obtainable to accelerate the development of potential solutions. Blood tests, owing to their affordability, accessibility, and routine use in healthcare, offer valuable biomarkers for assessing hemostatic balance in thrombotic and bleeding disorders. Incorporating these biomarkers into computational models of blood coagulation is crucial for creating patient-specific models, which allow for the analysis of the influence of these biomarkers on clot formation.
View Article and Find Full Text PDFThromb Haemost
January 2025
Department of Medicine, Jagiellonian University School of Medicine, Cracow, Poland.
Background: Asthma is associated with a prothrombotic state. Plasma factor VIIa-antithrombin complex concentrations (FVIIa-AT) indirectly reflect the interaction of tissue factor (TF) with FVII. Since TF is a key initiator of coagulation in vivo, we hypothesized that FVIIa-AT are higher in asthma.
View Article and Find Full Text PDFJ Thromb Haemost
January 2025
Case Western Reserve University, School of Medicine, Department of Pharmacology, Cleveland, OH United States. Electronic address:
Background: Hypercoagulation and thrombin generation are major risk factors for venous thrombosis. Sustained thrombin signaling through PAR4 promotes platelet activation, phosphatidylserine exposure, and subsequent thrombin generation. A single-nucleotide polymorphism in PAR4 (rs2227376) changes proline to leucine extracellular loop 3 (P310L), which decreases PAR4 reactivity and is associated with a lower risk for venous thromboembolism (VTE) in a GWAS meta-analysis.
View Article and Find Full Text PDFThromb Res
December 2024
Department of Obstetrics and Gynaecology, Trinity College Dublin, Dublin, Ireland; Trinity St. James's Cancer Institute, Dublin, Ireland. Electronic address:
Background: Tumour type, treatment and patient related factors contribute to cancer associated venous thromboembolism (VTE), however, the role of each factor and the mechanisms involved are not understood.
Aim: To assess the role of the tumour, and of chemotherapy, in mediating the procoagulant response associated with VTE in gynaecological cancer patients.
Methods: Gynaecological cancer patients who developed VTE during follow-up (n = 59) (VTE+) were matched with treatment naïve(treatment (-)(VTE-)(n = 120) and chemotherapy treated patients(treatment (+)(VTE-) (n = 57)).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!