Tailoring the surface charge of dextran-based polymer coated SPIONs for modulated stem cell uptake and MRI contrast

Tracking stem cells in vivo using non-invasive techniques is critical to evaluate the efficacy and safety of stem cell therapies. Superparamagnetic iron oxide nanoparticles (SPIONs) enable cells to be tracked using magnetic resonance imaging (MRI), but to obtain detectable signal cells need to be labelled with a sufficient amount of iron oxide. For the majority of SPIONs, this can only be obtained with the use of transfection agents, which can adversely affect cell health. Here, we have synthesised a library of dextran-based polymer coated SPIONs with varying surface charge from −1.5 mV to +18.2 mV via a co-precipitation approach and investigated their ability to be directly internalised by stem cells without the need for transfection agents. The SPIONs were colloidally stable in physiological solutions. The crystalline phase of the particles was confirmed with powder X-ray diffraction and their magnetic properties were characterised using SQUID magnetometry and magnetic resonance. Increased surface charge led to six-fold increase in uptake of particles into stem cells and higher MRI contrast, with negligible change in cell viability. Cell tracking velocimetry was shown to be a more accurate method for predicting MRI contrast of stem cells compared to measuring iron oxide uptake through conventional bulk iron quantification

Diagnostic Utility of Cerebral White Matter Integrity in Early Alzheimer\u27s Disease

We compared white matter integrity with brain atrophy in healthy controls and participants with very mild dementia (Clinical Dementia Rating 0 vs. 0.5) from the Brain Aging Project, a longitudinal study of aging and memory at the University of Kansas Medical Center. Structural magnetic resonance imaging and diffusion tensor imaging (DTI) including fractional anisotropy and mean diffusivity were performed on 27 patients with very mild dementia (Clinical Dementia Rating = 0.5) of the Alzheimer\u27s type (DAT), and 32 cognitively normal subjects. Patient groups were compared across 6 volumetric measures and 14 DTI regions of interest. Very mildly demented patients showed expected disease-related patterns of brain atrophy with reductions in whole-brain and hippocampal volumes most prominent. DTI indices of white matter integrity were mixed. Right parahippocampus showed significant but small disease-related reductions in fractional anisotropy. Right parahippocampus and left internal capsule showed greater mean diffusivity in early DAT compared with controls. A series of discriminant analyses demonstrated that gray matter atrophy was a significantly better predictor of dementia status than were DTI indices. Brain atrophy was most strongly related to very mild DAT. Modest disease-related white matter anomalies were present in temporal cortex, and deep white matter had limited discriminatory diagnostic power, probably because of the very mild stage of disease in these participants

Diagnostic Utility of Cerebral White Matter Integrity in Early Alzheimer's Disease

This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Neuroscience on August 2010, available online: http://www.tandfonline.com/10.3109/00207454.2010.494788.We compared white matter integrity with brain atrophy in healthy controls and participants with very mild dementia (Clinical Dementia Rating 0 vs. 0.5) from the Brain Aging Project, a longitudinal study of aging and memory at the University of Kansas Medical Center. Structural magnetic resonance imaging and diffusion tensor imaging (DTI) including fractional anisotropy and mean diffusivity were performed on 27 patients with very mild dementia (Clinical Dementia Rating = 0.5) of the Alzheimer's type (DAT), and 32 cognitively normal subjects. Patient groups were compared across 6 volumetric measures and 14 DTI regions of interest. Very mildly demented patients showed expected disease-related patterns of brain atrophy with reductions in whole-brain and hippocampal volumes most prominent. DTI indices of white matter integrity were mixed. Right parahippocampus showed significant but small disease-related reductions in fractional anisotropy. Right parahippocampus and left internal capsule showed greater mean diffusivity in early DAT compared with controls. A series of discriminant analyses demonstrated that gray matter atrophy was a significantly better predictor of dementia status than were DTI indices. Brain atrophy was most strongly related to very mild DAT. Modest disease-related white matter anomalies were present in temporal cortex, and deep white matter had limited discriminatory diagnostic power, probably because of the very mild stage of disease in these participants

Constraints and possibilities: Lima Film Festival, politics and cultural formation in Peru

The Festival de Cine de Lima (Lima Film Festival) launched in 1997 and, from humble beginnings, each year now introduces around 300 films to diverse audiences across the Peruvian capital and beyond. In 2014, for the first time in its history, four of the nineteen films selected for the feature competition were made by Peruvian directors, signalling a growing recognition of national talent by programming panels and critics that had tended to look beyond national borders for inspiration and challenge. Despite the relative paucity of co-ordinated film production activity in Peru, it is argued here that the flourishing of Lima Film Festival provides evidence of a deep sense of film appreciation that conveys a commitment to all forms of cinema. This essay reflects critically on the local, national and international impact of this Festival, its influence on the development of film policy in Peru, and explores its role as a ‘key building block of film culture’ (Iordanova, 2013) across a complex national framework

Linking Animals Aloft with the Terrestrial Landscape

Despite using the aerosphere for many facets of their life, most flying animals (i.e., birds, bats, some insects) are still bound to terrestrial habitats for resting, feeding, and reproduction. Comprehensive broad-scale observations by weather surveillance radars of animals as they leave terrestrial habitats for migration or feeding flights can be used to map their terrestrial distributions either as point locations (e.g., communal roosts) or as continuous surface layers (e.g., animal densities in habitats across a landscape). We discuss some of the technical challenges to reducing measurement biases related to how radars sample the aerosphere and the flight behavior of animals. We highlight a recently developed methodological approach that precisely and quantitatively links the horizontal spatial structure of birds aloft to their terrestrial distributions and provides novel insights into avian ecology and conservation across broad landscapes. Specifically, we present case studies that (1) elucidate how migrating birds contend with crossing ecological barriers and extreme weather events, (2) identify important stopover areas and habitat use patterns of birds along their migration routes, and (3) assess waterfowl response to wetland habitat management and restoration. These studies aid our understanding of how anthropogenic modification of the terrestrial landscape (e.g., urbanization, habitat management), natural geographic features, and weather (e.g., hurricanes) can affect the terrestrial distributions of flying animals

Linking Animals Aloft with the Terrestrial Landscape

Despite using the aerosphere for many facets of their life, most flying animals (i.e., birds, bats, some insects) are still bound to terrestrial habitats for resting, feeding, and reproduction. Comprehensive broad-scale observations by weather surveillance radars of animals as they leave terrestrial habitats for migration or feeding flights can be used to map their terrestrial distributions either as point locations (e.g., communal roosts) or as continuous surface layers (e.g., animal densities in habitats across a landscape). We discuss some of the technical challenges to reducing measurement biases related to how radars sample the aerosphere and the flight behavior of animals. We highlight a recently developed methodological approach that precisely and quantitatively links the horizontal spatial structure of birds aloft to their terrestrial distributions and provides novel insights into avian ecology and conservation across broad landscapes. Specifically, we present case studies that (1) elucidate how migrating birds contend with crossing ecological barriers and extreme weather events, (2) identify important stopover areas and habitat use patterns of birds along their migration routes, and (3) assess waterfowl response to wetland habitat management and restoration. These studies aid our understanding of how anthropogenic modification of the terrestrial landscape (e.g., urbanization, habitat management), natural geographic features, and weather (e.g., hurricanes) can affect the terrestrial distributions of flying animals

Structure in the 3D Galaxy Distribution: I. Methods and Example Results

Three methods for detecting and characterizing structure in point data, such as that generated by redshift surveys, are described: classification using self-organizing maps, segmentation using Bayesian blocks, and density estimation using adaptive kernels. The first two methods are new, and allow detection and characterization of structures of arbitrary shape and at a wide range of spatial scales. These methods should elucidate not only clusters, but also the more distributed, wide-ranging filaments and sheets, and further allow the possibility of detecting and characterizing an even broader class of shapes. The methods are demonstrated and compared in application to three data sets: a carefully selected volume-limited sample from the Sloan Digital Sky Survey redshift data, a similarly selected sample from the Millennium Simulation, and a set of points independently drawn from a uniform probability distribution -- a so-called Poisson distribution. We demonstrate a few of the many ways in which these methods elucidate large scale structure in the distribution of galaxies in the nearby Universe.Comment: Re-posted after referee corrections along with partially re-written introduction. 80 pages, 31 figures, ApJ in Press. For full sized figures please download from: http://astrophysics.arc.nasa.gov/~mway/lss1.pd

An international laboratory comparison of dissolved organic matter composition by high resolution mass spectrometry: Are we getting the same answer?

High-resolution mass spectrometry (HRMS) has become a vital tool for dissolved organic matter (DOM) characterization. The upward trend in HRMS analysis of DOM presents challenges in data comparison and interpretation among laboratories operating instruments with differing performance and user operating conditions. It is therefore essential that the community establishes metric ranges and compositional trends for data comparison with reference samples so that data can be robustly compared among research groups. To this end, four identically prepared DOM samples were each measured by 16 laboratories, using 17 commercially purchased instruments, using positive-ion and negative-ion mode electrospray ionization (ESI) HRMS analyses. The instruments identified ~1000 common ions in both negative- and positive-ion modes over a wide range of m/z values and chemical space, as determined by van Krevelen diagrams. Calculated metrics of abundance-weighted average indices (H/C, O/C, aromaticity, and m/z) of the commonly detected ions showed that hydrogen saturation and aromaticity were consistent for each reference sample across the instruments, while average mass and oxygenation were more affected by differences in instrument type and settings. In this paper we present 32 metric values for future benchmarking. The metric values were obtained for the four different parameters from four samples in two ionization modes and can be used in future work to evaluate the performance of HRMS instruments