Cerebrospinal Fluid Biomarkers in Idiopathic Normal Pressure Hydrocephalus

The diagnosis of idiopathic normal pressure hydrocephalus (iNPH) is still challenging. Alzheimer's disease (AD), along with vascular dementia, the most important differential diagnosis for iNPH, has several potential cerebrospinal fluid (CSF) biomarkers which might help in the selection of patients for shunt treatment. The aim of this study was to compare a battery of CSF biomarkers including well-known AD-related proteins with CSF from patients with suspected iNPH collected from the external lumbar drainage test (ELD). A total of 35 patients with suspected iNPH patients were evaluated with ELD. CSF was collected in the beginning of the test, and the concentrations of total tau, ptau181, Aβ42, NFL, TNF-α, TGFβ1, and VEGF were analysed by ELISA. Twenty-six patients had a positive ELD result—that is, their gait symptoms improved; 9 patients had negative ELD. The levels of all analyzed CSF biomarkers were similar between the groups and none of them predicted the ELD result in these patients. Contrary to expectations lumbar CSF TNF-α concentration was low in iNPH patients

Fitness costs of animal medication: antiparasitic plant chemicals reduce fitness of monarch butterfly hosts

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/134230/1/jane12558_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/134230/2/jane12558.pd

Enhanced computational methods for quantifying the effect of geographic and environmental isolation on genetic differentiation

In a recent paper, Bradburd et al. (2013) proposed a model to quantify the relative effect ofgeographic and environmental distance on genetic differentiation. Here, we enhance this method in several ways.1. We modify the covariance model so as to fit better with mainstream geostatistical models and avoid mathematically ill-behaved covariance functions,2. we extend the model - initially implemented only for co-dominant bi-allelic markers such as SNPs - to encompass highly polymorphic markers such as microsatellites, 3. we implement and test a model selection procedure that allows users to assess which model (e.g. with or without an environment effect) is most suited,4. we code all our MCMC algorithms in a mix of compiled languages which allows us to decrease computing time by at least one order of magnitude,5. we propose an approximate inference and model selection method allowing us to deal with genomic datasets (several hundred thousands loci).6. We also illustrate the potential of the method by re-analysing three datasets, namely harbour porpoises in Europe, coyotes in California and herrings in the Baltic Sea. The computer program developed here is freely available as an R package called Sunder. It takes as input geo-referenced allele counts at the individual or population level for co-dominant markers. Program homepage: http://www2.imm.dtu.dk/~gigu/Sunder

Genome architecture enables local adaptation of Atlantic cod despite high connectivity

Adaptation to local conditions is a fundamental process in evolution; however, mechanisms maintaining local adaptation despite high gene flow are still poorly understood. Marine ecosystems provide a wide array of diverse habitats that frequently promote ecological adaptation even in species characterized by strong levels of gene flow. As one example, populations of the marine fish Atlantic cod (Gadus morhua) are highly connected due to immense dispersal capabilities but nevertheless show local adaptation in several key traits. By combining population genomic analyses based on 12K single nucleotide polymorphisms with larval dispersal patterns inferred using a biophysical ocean model, we show that Atlantic cod individuals residing in sheltered estuarine habitats of Scandinavian fjords mainly belong to offshore oceanic populations with considerable connectivity between these diverse ecosystems. Nevertheless, we also find evidence for discrete fjord populations that are genetically differentiated from offshore populations, indicative of local adaptation, the degree of which appears to be influenced by connectivity. Analyses of the genomic architecture reveal a significant overrepresentation of a large ~5 Mb chromosomal rearrangement in fjord cod, previously proposed to comprise genes critical for the survival at low salinities. This suggests that despite considerable connectivity with offshore populations, local adaptation to fjord environments may be enabled by suppression of recombination in the rearranged region. Our study provides new insights into the potential of local adaptation in high gene flow species within fine geographical scales and highlights the importance of genome architecture in analyses of ecological adaptation

Empowering Driver-Passenger Collaboration: Designing In-Car Systems with a focus on Social Connectedness, Fairness, and Team Performance

Driving a car can be difficult when it comes to distractions caused by operating the in-vehicle infotainment system (IVIS). In-car passengers often help with performing IVIS-related tasks. However, an IVIS is often not designed with a focus on task collaboration. In this article, we focus on how to design in-car systems with the goal to support collaboration between a driver and a front-seat passenger. Based on infotainment-oriented tasks, we initially explore five key collaborative control concepts by means of an IVIS which differ from each other in terms of the number of available IVIS screens (one or two), access to menus (restricted and unrestricted), and the nature of performing tasks in parallel or one after the other. Results from a simulator study with N = 16 pairs show significant effects of the concepts on social collaboration in terms of perceived social connectedness (measured with sub-dimensions connectedness, affiliation, belongingness, companionship), team performance (coordination effectiveness and team cohesion), and fairness. We found that especially a dedicated passenger IVIS screen empowers front-seat passengers, reduces power dynamics, supports fairness, and minimizes driver distraction (caused by interacting passengers). We discuss the implications of these findings and posit recommendations to design future IVIS in passenger cars with improved driver-passenger collaboration by explicitly designing for balanced power roles, situational awareness, active communication, and a balance between drivers’ privacy and trust toward the passenger. Additionally, we outline a systematic overview of future work to explore the research field of driver-passenger collaboration in more breadth and depth.</p

Influence of the Danish Co-morbidity Index Score on the Treatment and Outcomes of 2.5 Million Patients Admitted With Acute Myocardial Infarction in the United States.

This study aimed to determine the association between the Danish Co-morbidity Index for Acute Myocardial Infarction (DANCAMI) and restricted DANCAMI (rDANCAMI) scores and clinical outcomes in patients hospitalized with AMI. Using the National Inpatient Sample, all AMI hospitalizations were stratified into four groups based on their DANCAMI and rDANCAMI score (0; 1 to 3; 4 to 5; =6). The primary outcome was all-cause mortality, whereas secondary outcomes were major adverse cardiovascular/cerebrovascular events, major bleeding, ischemic stroke, and receipt of coronary angiography or percutaneous coronary intervention. Multivariate logistic regression was used to determine adjusted odds ratios (aOR) with 95% confidence intervals (95% CIs). Patients with DANCAMI risk score =6 were more likely to suffer mortality (aOR 2.30, 95% CI 2.24 to 2.37) and bleeding (aOR 5.85, 95% CI 5.52 to 6.21) and were less likely to receive coronary angiography (aOR 0.34, 95% CI 0.33 to 0.34) and percutaneous coronary intervention (aOR 0.29, 95% CI 0.28 to 0.29) compared with patients with DANCAMI score of 0. Similar results were observed for the rDANCAMI score. In conclusion, increased DANCAMI and rDANCAMI scores were associated with worse in-hospital outcomes in patients with AMI and lower odds of invasive management. The use of co-morbidity scores identifies patients at high risk of adverse outcomes and highlights disparities in care

Do foliar fungal communities of Norway spruce shift along a tree species diversity gradient in mature European forests?

Foliar fungal species are diverse and colonize all plants, though whether forest tree species composition influences the distribution of these fungal communities remains unclear. Fungal communities include quiescent taxa and the functionally important and metabolically active taxa that respond to changes in the environment. To determine fungal community shifts along a tree species diversity gradient, needles of Norway spruce were sampled from trees from four mature European forests. We hypothesized that the fungal communities and specific fungal taxa would correlate with tree species diversity. Furthermore, the active fungal community, and not the total community, would shift along the tree diversity gradient. High-throughput sequencing showed significant differences in the fungal communities in the different forests, and in one forest, tree diversity effects were observed, though this was not a general phenomenon. Our study also suggests that studying the metabolically active community may not provide additional information about community composition or diversity. (C) 2016 The Author(s). Published by Elsevier Ltd

Variation in monitoring and treatment policies for intracranial hypertension in traumatic brain injury: A survey in 66 neurotrauma centers participating in the CENTER-TBI

Background: No definitive evidence exists on how intracranial hypertension should be treated in patients with traumatic brain injury (TBI). It is therefore likely that centers and practitioners individually balance potential benefits and risks of different intracranial pressure (ICP) management strategies, resulting in practice variation. The aim of this study was to examine variation in monitoring and treatment policies for intracranial hypertension in patients with TBI. Methods: A 29-item survey on ICP monitoring and treatment was developed based on literature and expert opinion, and pilot-tested in 16 centers. The questionnaire was sent to 68 neurotrauma centers participating in the Collaborative European Neurotrauma Effectiveness Research (CENTER-TBI) study. Results: The survey was completed by 66 centers (97% response rate). Centers were mainly academic hospitals (n = 60, 91%) and designated level I trauma centers (n = 44, 67%). The Brain Trauma Foundation guidelines were used in 49 (74%) centers. Approximately ninety percent of the participants (n = 58) indicated placing an ICP monitor in patients with severe TBI and computed tomography abnormalities. There was no consensus on other indications or on peri-insertion precautions. We found wide variation in the use of first- and second-tier treatments for elevated ICP. Approximately half of the centers were classified as having a relatively aggressive approach to ICP monitoring and treatment (n = 32, 48%), whereas the others were considered more conservative (n = 34, 52%). Conclusions: Substantial variation was found regarding monitoring and treatment policies in patients with traumatic brain injury and intracranial hypertension. The results of this survey indicate a lack of consensus between European neurotrauma centers and provide an opportunity and necessity for comparative effectiveness research