Relationship of acute axonal damage, Wallerian degeneration, and clinical disability in multiple sclerosis

NPY-Y1R+ axon undergoing Wallerian degeneration do not co-localize with hypophosphorylated and low-molecular-weight NF in EAE. Double-labeling fluorescent IHC reveals that NPY-Y1R+ degenerating axons are only rarely labeled with antibodies recognizing hypophosphorylated NF (SMI35) (A-C). No colocalization is observed with the 68 kDa low-molecular-weight NF (D-F) in WT EAE lesional and perilesional tissue. Scale bars=(A-F) 100 μm. (JPG 343 kb

Nebenerwerbslandwirtschaft in Sachsen

Nebenerwerbslandwirte sind für Sachsen unverzichtbar. Das wird in der Broschüre erläutert und anhand ausgewählter Statistiken belegt. Vier Beispiele von Nebenerwerbsbetrieben und zahlreiche Fotos runden den Text ab

Eigentumsentwicklung an Boden - Analyse, Ursachen, Wirkungen der Eigentumsentwicklung an Boden nach Rechtsformen

Der Bodenmarkt hat seit 2005 eine dynamische Entwicklung genommen. Durch die globale Wirtschaftskrise wurden die Investitionen in werthaltige Güter, d.h. auch in Boden befördert. Die Anzahl Verkaufsfälle und die gehandelte Fläche stiegen seit 2005 stetig an. Der Kaufpreis erhöhte sich um 17 Prozent. Während in den Niederlanden mit 444 Euro/ha oder Dänemark mit 551 Euro/ha die höchsten Pachtpreise erzielt werden, liegt Deutschland im Durchschnitt bei 205 Euro/ha. Trotz Steigerung um 51 Euro/ha seit 1991 liegt der sächsische Pachtpreis nur bei 116 Euro/ha. Der deutlichere Anstieg bei Grünland kann Ursache der Entkopplung der Direktzahlungen, d.h. dem Überwälzeffekt der Grünlandprämie geschuldet sein

Wirtschaftsfaktor sächsische Landwirtschaft

Im Mittelpunkt der Broschüre steht die Bedeutung der Vorleistungen der sächsischen Landwirtschaft für die regionalökonomische Entwicklung in Sachsen und darüber hinaus. Dabei werden sowohl die direkten Effekte als auch die indirekten und induzierten Effekte der Lieferbeziehungen der Vollerwerbslandwirte mit Ackerbau und Viehhaltung bewertet. Mit ihren Vorleistungen und getätigten Investitionen sorgt die Landwirtschaft für fast 2 Mrd. Euro Wertschöpfung in Sachsen. Pro Euro Wertschöpfung der sächsischen Landwirtschaft wird 1,60 Euro weitere Wertschöpfung in anderen sächsischen Wirtschaftszweigen erzielt. Jedem landwirtschaftlichen Arbeitsplatz sind weitere 0,8 Arbeitsplätze im Vorleistungsbereich zurechenbar

Bodenrente und Visualisierung der Mittelverteilung

In einem 2-jährigen Forschungsprojekt entstand ein Modellsystem, das die Wertschöpfung der sächsischen Landwirtschaft mit und ohne Flächenförderung abbildet. GIS-Komponenten ermöglichen die räumliche Darstellung der ökonomischen Leistungen der Regionen unter variablen Marktbedingungen. Direktzahlungen sind als überlagerte Stufenförderung sowohl in ihrer Einkommenswirkung als auch in Bezug zu Umweltzielgebieten darstellbar. Die Modellanwendung soll dazu beitragen, die flächendeckende Landwirtschaft zu gewährleisten und zusätzlich Förderzielgebiete mit Umweltbezug abzuleiten. Zur Simulation von Mittelverteilungen kann das Modell an Umweltkriterien, Bruttoinlandsprodukt oder sozioökonomische Größen angepasst werden. Die Modelle sollen die Ausgestaltung der Förderperiode GAP ab 2014 begleiten

Learning outcomes physiotherapy in neurology – a structured consensus finding of the Austrian University Network Physiotherapy in Neurology (ÖHPN)

Gesundhei

Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility

The integration of deep learning-based tools into diagnostic workflows is increasingly prevalent due to their efficiency and reproducibility in various settings. We investigated the utility of automated nuclear morphometry for assessing nuclear pleomorphism (NP), a criterion of malignancy in the current grading system in canine pulmonary carcinoma (cPC), and its prognostic implications. We developed a deep learning-based algorithm for evaluating NP (variation in size, i.e., anisokaryosis and/or shape) using a segmentation model. Its performance was evaluated on 46 cPC cases with comprehensive follow-up data regarding its accuracy in nuclear segmentation and its prognostic ability. Its assessment of NP was compared to manual morphometry and established prognostic tests (pathologists’ NP estimates (n = 11), mitotic count, histological grading, and TNM-stage). The standard deviation (SD) of the nuclear area, indicative of anisokaryosis, exhibited good discriminatory ability for tumor-specific survival, with an area under the curve (AUC) of 0.80 and a hazard ratio (HR) of 3.38. The algorithm achieved values comparable to manual morphometry. In contrast, the pathologists’ estimates of anisokaryosis resulted in HR values ranging from 0.86 to 34.8, with slight inter-observer reproducibility (k = 0.204). Other conventional tests had no significant prognostic value in our study cohort. Fully automated morphometry promises a time-efficient and reproducible assessment of NP with a high prognostic value. Further refinement of the algorithm, particularly to address undersegmentation, and application to a larger study population are required

Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity.

Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels

Islet Autoimmunity and HLA Markers of Presymptomatic and Clinical Type 1 Diabetes: Joint Analyses of Prospective Cohort Studies in Finland, Germany, Sweden, and the US

OBJECTIVETo combine prospective cohort studies, by including HLA harmonization, and estimate risk of islet autoimmunity and progression to clinical diabetes.RESEARCH DESIGN AND METHODSFor prospective cohorts in Finland, Germany, Sweden, and the U.S., 24,662 children at increased genetic risk for development of islet autoantibodies and type 1 diabetes have been followed. Following harmonization, the outcomes were analyzed in 16,709 infants-toddlers enrolled by age 2.5 years.RESULTSIn the infant-toddler cohort, 1,413 (8.5%) developed at least one autoantibody confirmed at two or more consecutive visits (seroconversion), 865 (5%) developed multiple autoantibodies, and 655 (4%) progressed to diabetes. The 15-year cumulative incidence of diabetes varied in children with one, two, or three autoantibodies at seroconversion: 45% (95% CI 40–52), 85% (78–90), and 92% (85–97), respectively. Among those with a single autoantibody, status 2 years after seroconversion predicted diabetes risk: 12% (10–25) if reverting to autoantibody negative, 30% (20–40) if retaining a single autoantibody, and 82% (80–95) if developing multiple autoantibodies. HLA-DR-DQ affected the risk of confirmed seroconversion and progression to diabetes in children with stable single-autoantibody status. Their 15-year diabetes incidence for higher- versus lower-risk genotypes was 40% (28–50) vs. 12% (5–38). The rate of progression to diabetes was inversely related to age at development of multiple autoantibodies, ranging from 20% per year to 6% per year in children developing multipositivity in ≤2 years or >7.4 years, respectively.CONCLUSIONSThe number of islet autoantibodies at seroconversion reliably predicts 15-year type 1 diabetes risk. In children retaining a single autoantibody, HLA-DR-DQ genotypes can further refine risk of progression.</div

Genetic scores to stratify risk of developing multiple islet autoantibodies and type 1 diabetes: A prospective study in children

BackgroundAround 0.3% of newborns will develop autoimmunity to pancreatic beta cells in childhood and subsequently develop type 1 diabetes before adulthood. Primary prevention of type 1 diabetes will require early intervention in genetically at-risk infants. The objective of this study was to determine to what extent genetic scores (two previous genetic scores and a merged genetic score) can improve the prediction of type 1 diabetes.Methods and findingsThe Environmental Determinants of Diabetes in the Young (TEDDY) study followed genetically at-risk children at 3-to 6-monthly intervals from birth for the development of islet auto-antibodies and type 1 diabetes. Infants were enrolled between 1 September 2004 and 28 February 2010 and monitored until 31 May 2016. The risk (positive predictive value) for developing multiple islet autoantibodies (pre-symptomatic type 1 diabetes) and type 1 diabetes was determined in 4,543 children who had no first-degree relatives with type 1 diabetes and either a heterozygous HLA DR3 and DR4-DQ8 risk genotype or a homozygous DR4-DQ8 genotype, and in 3,498 of these children in whom genetic scores were calculated from 41 single nucleotide polymorphisms. In the children with the HLA risk genotypes, risk for developing multiple islet autoantibodies was 5.8% (95% CI 5.0%-6.6%) by age 6 years, and risk for diabetes by age 10 years was 3.7% (95% CI 3.0%-4.4%). Risk for developing multiple islet autoantibodies was 11.0% (95% CI 8.7%-13.3%) in children with a merged genetic score of >14.4 (upper quartile; n = 907) compared to 4.1% (95% CI 3.3%-4.9%, P 14.4 compared with 2.7% (95% CI 1.9%-3.6%) in children with a score of 14.4. Scores were higher in European versus US children (P = 0.003). In children with a merged score of >14.4, risk for multiple islet autoantibodies was similar and consistently >10% in Europe and in the US; risk was greater in males than in females (P = 0.01). Limitations of the study include that the genetic scores were originally developed from case-control studies of clinical diabetes in individuals of mainly European decent. It is, therefore, possible that it may not be suitable to all populations.ConclusionsA type 1 diabetes genetic score identified infants without family history of type 1 diabetes who had a greater than 10% risk for pre-symptomatic type 1 diabetes, and a nearly 2-fold higher risk than children identified by high-risk HLA genotypes alone. This finding extends the possibilities for enrolling children into type 1 diabetes primary prevention trials