Droplet Microfluidics with Reagent Micromixing for Investigating Intrinsic Platelet Functionality.

Introduction: Precision mapping of the functional structure of platelet populations holds great promise for the identification of hyper-reactive subtypes that are likely to be disease drivers, having value in prognostics and as therapeutic targets. However, the ability to measure the intrinsic functional capacity of individual platelets is confounded by potent paracrine cross-talk, resulting in phenotypic remodeling of the entire platelet population, and in doing so obscuring the identity of hyper-reactive platelets.

Methods: To address this we have developed a droplet microfluidics strategy for single platelet confinement to exclude paracrine signaling.

Single platelet variability governs population sensitivity and initiates intrinsic heterotypic responses.

Investigations into the nature of platelet functional variety and consequences for homeostasis require new methods for resolving single platelet phenotypes. Here we combine droplet microfluidics with flow cytometry for high throughput single platelet function analysis. A large-scale sensitivity continuum was shown to be a general feature of human platelets from individual donors, with hypersensitive platelets coordinating significant sensitivity gains in bulk platelet populations and shown to direct aggregation in droplet-confined minimal platelet systems.

Monolithically-integrated cytometer for measuring particle diameter in the extracellular vesicle size range using multi-angle scattering.

Size measurement of extracellular vesicles is hampered by the high cost and measurement uncertainty of conventional flow cytometers which is mainly due to the use of non-specialised free space optics. Integrated cytometry, where the optics and fluidics are embedded in a monolithic chip shows promise for the production of low cost, micro-flow cytometers dedicated for extracellular vesicle (EV) analysis with improved size measurement accuracy and precision. This research demonstrates a unique integrated cytometer for sub-micron particle size measurement using multi-angle scattering analysis.

FCM Software Aids Extracellular Vesicle Light Scatter Standardization.

The study of extracellular vesicles (EVs) is a rapidly growing field due to their great potential in many areas of clinical medicine including diagnostics, prognostics, theranostics, and therapeutics. Flow cytometry is currently one of the most popular methods of analyzing EVs due to it being a high-throughput, multiparametric technique, that is readily available in the majority of research labs. Despite its wide use, few commercial flow cytometers are designed specifically for the detection of EVs.

Leukocyte extracellular vesicle concentration is inversely associated with liver fibrosis severity in NAFLD.

The enhanced liver fibrosis (LFS) score and the nonalcoholic fatty liver disease (NAFLD) fibrosis score (NFS) are algorithmic-derived scores for diagnosing severe (F3/F4) liver fibrosis. In a pilot, substudy of the Wessex Evaluation of fatty Liver and Cardiovascular markers in NAFLD with OMacor thErapy (WELCOME) trial, we tested whether measurements of plasma platelet-, endothelial-, and leukocyte-derived extracellular vesicles (EVs) counts are (a) associated with, and predict, F3/F4 fibrosis and (b) able to improve risk prediction of F3/F4 fibrosis in NAFLD, building upon LFS or NFS algorithms. Twenty-six individuals with NAFLD had liver fibrosis severity determined by Kleiner scoring after liver biopsy.

Extracellular Vesicle Flow Cytometry Analysis and Standardization.

The term extracellular vesicles (EVs) describes membranous vesicles derived from cells, ranging in diameter from 30 to 1,000 nm with the majority thought to be in the region of 100-150 nm. Due to their small diameter and complex and variable composition, conventional techniques have struggled to accurately count and phenotype EVs. Currently, EV characterization using high-resolution flow cytometry is the most promising method when compared to other currently available techniques, due to it being a high-throughput, single particle, multi-parameter analysis technique capable of analyzing a large range of particle diameters.

IL-6 is a predictive biomarker for stroke associated infection and future mortality in the elderly after an ischemic stroke.

Background And Purpose: Stroke associated infection (within the first seven days) occurs in approximately half of stroke patients and is associated with a worse prognosis, especially in the elderly. It is uncertain what factors predict stroke associated infection, yet identification of a suitable biomarker for infection may allow early and appropriate intervention with antibiotics. The aims of this study were to: a) identify independent risk factors for stroke associated infection, and b) test relationships between these risk factors and mortality at 2 years.

Aspirin resistance is more common in lacunar strokes than embolic strokes and is related to stroke severity.

The aim of this study was to investigate the relationship between aspirin resistance, ischaemic stroke subtype, stroke severity, and inflammatory cytokines. Aspirin resistance was assessed by thrombelastography in 45 people with ischaemic stroke and 25 controls. Plasma interleukin (IL)-6 was measured.

Long-chain n-3 fatty acid supplementation in men increases resistance to activated protein C.

It has recently and controversially been demonstrated that fish oil supplementation may not be beneficial for everyone, but to date there have been no biological explanations. We suggest that resistance to the anticoagulant, activated protein C (APC), be considered as a potential mechanism, because it has been demonstrated that the type of fatty acids on phospholipids modulates function of the APC pathway. The APC ratio in plasma was decreased by 7% after fish oil supplementation in healthy men (P<.

Percentage of body fat and plasma glucose predict plasma sialic acid concentration in type 2 diabetes mellitus.

Circulating sialic acid is an independent risk factor for cardiovascular disease and is higher in people with type 2 diabetes mellitus. Sialic acid is associated with body mass index, but it is uncertain whether body fat contributes to the higher levels of sialic acid in type 2 diabetes mellitus. Therefore, we have investigated whether the higher levels of sialic acid observed in type 2 diabetes mellitus persist when controlling for fatness.

A novel role for CD36 in VLDL-enhanced platelet activation.

Type 2 diabetes is characterized by increased plasma triglyceride levels and a fourfold increase in ischemic heart disease, but the mechanism is unclear. CD36 is a receptor/transporter that binds fatty acids of lipoproteins. CD36 deficiency has been linked with insulin resistance.