Aging platelets shift their hemostatic properties to inflammatory functions.

Platelets are crucial players in hemostasis and thrombosis, but also contribute to immune regulation and host defense, using different receptors, signaling pathways and effector functions, respectively. Whether distinct subsets of platelets specialize in these diverse tasks is insufficiently understood. Here, we employed an in vivo pulse-labelling method in Mus musculus models for tracking in vivo platelet ageing and its functional implications.

Optimized monitoring for immune checkpoint inhibitor induced myocarditis using high-sensitivity troponin-T.

Background: Immune checkpoint inhibitor (ICI)-induced Myocarditis (irMyocarditis) is a rare adverse event with a high mortality rate of 40-50 % and which is mostly not diagnosed until clinical symptoms emerge.

Objectives: This study aims to screen patients for irMyocarditis using high-sensitivity cardiac troponin-T (hs-TnT) before and regularly during therapy with ICI.

Methods: A cohort of 280 cancer patients were prospectively screened for levels of hs-TnT at baseline and prior to every ICI infusion.

Rational construction of porous cobalt nanoparticle integrated nitrogen doped hollow carbon nanostructures for peptide agonist exendin-4 biosensing.

In this study, we designed a point-of-care (POC) testing electrochemical biosensor using an integrated biosensing assay based on hollow-like nitrogen-doped carbon nanostructures combined with cobalt nanoparticles (Co@HNCNs, CoO@HNCNs, and CoP@HNCNs). These are functionalized with Anti-Exendin-4 Antibodies (Anti-Ex-4-Abs) and Bovine Serum Albumin (BSA) to create sensitive probes (Co@HNCNs/Anti-Ex-4-Abs/BSA, CoO@HNCNs/Anti-Ex-4-Abs/BSA, and CoP@HNCNs/Anti-Ex-4-Abs/BSA) for the ultrasensitive detection of exendin-4 (Ex-4), a peptide agonist used in the treatment of type 2 diabetes mellitus (T2DM). Among the cobalt-based carbon nanostructures, the CoO@HNCNs/Anti-Ex-4-Abs/BSA nanoprobe demonstrated superior ability to specifically recognize Ex-4.

Procoagulant platelet activation promotes venous thrombosis.

Platelets are key players in cardiovascular disease, and platelet aggregation represents a central pharmacologic target, particularly in secondary prevention. However, inhibition of adenosine diphosphate and thromboxane signaling has low efficacy in preventing venous thromboembolism, necessitating the inhibition of the plasmatic coagulation cascade in this disease entity. Anticoagulation carries a significantly higher risk of bleeding complications, highlighting the need of alternative therapeutic approaches.

Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease.

Disease mechanisms are usually complex and governed by the interaction of several distinct molecular processes. Complex, multidimensional datasets are a valuable resource to generate more insights into those processes, but the analysis of such datasets can be challenging due to the high dimensionality resulting, for example, from different disease conditions, timepoints, and omics capturing the process at different resolutions. Here, we showcase an approach to analyze and explore such a complex multiomics dataset in an unsupervised way by applying multi-omics factor analysis (MOFA) to a dataset generated from blood samples that capture the immune response in acute and chronic coronary syndromes.