3 research outputs found

    Predicting Carotid Artery Disease and Plaque Instability from Cell-derived Microparticles

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    ObjectivesCell-derived microparticles (MPs) are small plasma membrane-derived vesicles shed from circulating blood cells and may act as novel biomarkers of vascular disease. We investigated the potential of circulating MPs to predict (a) carotid plaque instability and (b) the presence of advanced carotid disease.MethodsThis pilot study recruited carotid disease patients (aged 69.3 ± 1.2 years [mean ± SD], 69% male, 90% symptomatic) undergoing endarterectomy (n = 42) and age- and sex-matched controls (n = 73). Plaques were classified as stable (n = 25) or unstable (n = 16) post surgery using immunohistochemistry. Blood samples were analysed for MP subsets and molecular biomarkers. Odds ratios (OR) are expressed per standard deviation biomarker increase.ResultsEndothelial MP (EMP) subsets, but not any vascular, inflammatory, or proteolytic molecular biomarker, were higher (p < .05) in the unstable than the stable plaque patients. The area under the receiver operator characteristic curve for CD31+41− EMP in discriminating an unstable plaque was 0.73 (0.56–0.90, p < .05). CD31+41− EMP predicted plaque instability (OR = 2.19, 1.08–4.46, p < .05) and remained significant in a multivariable model that included transient ischaemic attack symptom status. Annexin V+ MP, platelet MP (PMP) subsets, and C-reactive protein were higher (p < .05) in cases than controls. Annexin V+ MP (OR = 3.15, 1.49–6.68), soluble vascular cell adhesion molecule-1 (OR = 1.64, 1.03–2.59), and previous smoking history (OR = 3.82, 1.38–10.60) independently (p < .05) predicted the presence of carotid disease in a multivariable model.ConclusionsEMP may have utility in predicting plaque instability in carotid patients and annexin V+ MPs may predict the presence of advanced carotid disease in aging populations, independent of established biomarkers

    Co-limitation towards lower latitudes shapes global forest diversity gradients

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    The latitudinal diversity gradient (LDG) is one of the most recognized global patterns of species richness exhibited across a wide range of taxa. Numerous hypotheses have been proposed in the past two centuries to explain LDG, but rigorous tests of the drivers of LDGs have been limited by a lack of high-quality global species richness data. Here we produce a high-resolution (0.025° × 0.025°) map of local tree species richness using a global forest inventory database with individual tree information and local biophysical characteristics from ~1.3 million sample plots. We then quantify drivers of local tree species richness patterns across latitudes. Generally, annual mean temperature was a dominant predictor of tree species richness, which is most consistent with the metabolic theory of biodiversity (MTB). However, MTB underestimated LDG in the tropics, where high species richness was also moderated by topographic, soil and anthropogenic factors operating at local scales. Given that local landscape variables operate synergistically with bioclimatic factors in shaping the global LDG pattern, we suggest that MTB be extended to account for co-limitation by subordinate drivers
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