Improving predictive asthma algorithms with modelled environment data for Scotland: an observational cohort study protocol

Introduction Asthma has a considerable, but potentially, avoidable burden on many populations globally. Scotland has some of the poorest health outcomes from asthma. Although ambient pollution, weather changes and sociodemographic factors have been associated with asthma attacks, it remains unclear whether modelled environment data and geospatial information can improve population-based asthma predictive algorithms. We aim to create the afferent loop of a national learning health system for asthma in Scotland. We will investigate the associations between ambient pollution, meteorological, geospatial and sociodemographic factors and asthma attacks.Methods and Analysis We will develop and implement a secured data governance and linkage framework to incorporate primary care health data, modelled environment data, geospatial population and sociodemographic data. Data from 75 recruited primary care practices (n=500 000 patients) in Scotland will be used. Modelled environment data on key air pollutants at a horizontal resolution of 5 km×5 km at hourly time steps will be generated using the EMEP4UK atmospheric chemistry transport modelling system for the datazones of the primary care practices’ populations. Scottish population census and education databases will be incorporated into the linkage framework for analysis. We will then undertake a longitudinal retrospective observational analysis. Asthma outcomes include asthma hospitalisations and oral steroid prescriptions. Using a nested case–control study design, associations between all covariates will be measured using conditional logistic regression to account for the matched design and to identify suitable predictors and potential candidate algorithms for an asthma learning health system in Scotland.Findings from this study will contribute to the development of predictive algorithms for asthma outcomes and be used to form the basis for our learning health system prototype.Ethics and dissemination The study received National Health Service Research Ethics Committee approval (16/SS/0130) and also obtained permissions via the Public Benefit and Privacy Panel for Health and Social Care in Scotland to access, collate and use the following data sets: population and housing census for Scotland; Scottish education data via the Scottish Exchange of Data and primary care data from general practice Data Custodians. Analytic code will be made available in the open source GitHub website. The results of this study will be published in international peer reviewed journals

Bowel function, sexual function, and symptoms of pelvic organ prolapse in women with and without urinary incontinence

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146399/1/nau23587_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/146399/2/nau23587.pd

KEAP1-modifying small molecule reveals muted NRF2 signaling responses in neural stem cells from Huntington's disease patients

The activity of the transcription factor nuclear factor-erythroid 2 p45-derived factor 2 (NRF2) is orchestrated and amplified through enhanced transcription of antioxidant and antiinflammatory target genes. The present study has characterized a triazole-containing inducer of NRF2 and elucidated the mechanism by which this molecule activates NRF2 signaling. In a highly selective manner, the compound covalently modifies a critical stress-sensor cysteine (C151) of the E3 ligase substrate adaptor protein Kelch-like ECH-associated protein 1 (KEAP1), the primary negative regulator of NRF2. We further used this inducer to probe the functional consequences of selective activation of NRF2 signaling in Huntington's disease (HD) mouse and human model systems. Surprisingly, we discovered a muted NRF2 activation response in human HD neural stem cells, which was restored by genetic correction of the disease-causing mutation. In contrast, selective activation of NRF2 signaling potently repressed the release of the proinflammatory cytokine IL-6 in primary mouse HD and WT microglia and astrocytes. Moreover, in primary monocytes from HD patients and healthy subjects, NRF2 induction repressed expression of the proinflammatory cytokines IL-1, IL-6, IL-8, and TNFα. Together, our results demonstrate a multifaceted protective potential of NRF2 signaling in key cell types relevant to HD pathology

Denkwerkstatt "Ressourcenknappheit"- Handlungs- und Aktionsfelder II

Vorwort: Non-Profit Manager*innen von heute sind Generalist*innen, die sich initiativ und eigenverantwortlich mit den Herausforderungen unserer Zeit auseinandersetzen und im besten Falle geeignete Lösungen dafür finden und diese auch richtig kommunizieren können. Aus diesem Grunde wird genau diese Fähigkeit bei Studierenden aus den Masterstudiengängen Management in Nonprofit-Organisationen und Soziale Arbeit der Hochschule Osnabrück gefördert. Im Rahmen des Moduls Handlungsfelder II entwickelten rund 30 Studierende im Wintersemester 2020/2021 in einer Denkwerkstatt ihre eigenen Lösungen in Bezug auf Forschung, Produkte / Dienstleistungen und Kommunikation. Die Studierenden wählten in einem partizipativen Prozess ihre eigenen Schwerpunktthemen aus und arbeiteten dann ein Semester lang an den Inhalten. Begleitet wurden sie durch ein Teamteaching von Prof. Dr. Gesa Birnkraut und Marlene Eimterbäumer, die Modelle, Methoden und Coaching zur Unterstützung anboten. Die Modelle und Methoden finden sich in den Beiträgen der Studierenden wieder (unter anderem das socio-ecological model, der Business Model Canvas, der story telling canvas, das design thinking). Am Ende des Semesters stand eine Präsentation vor den Kommiliton*innen und den Lehrenden, aber auch vor externen Gästen, die aus unterschiedlichen Expertisegebieten kamen und dementsprechend Feedback gaben. Das Modul selbst wurde von der Hochschule im Rahmen der Innovativen Lehre an der Fakultät Wirtschafts- und Sozialwissenschaften gefördert. Für die Studierenden stellte das Modul durchaus eine große Herausforderung dar, denn in der Denkwerkstatt musste unter hoher Komplexität stark prozessbezogen gearbeitet werden im Gegensatz zu der sonstigen hohen Ergebnisorientierung. Die durchweg sehr guten Ergebnisse zeigen, dass der Einsatz und das Aushalten der Unsicherheit sich gelohnt haben. Aufgeteilt ist das vorliegende Buch in die zwei Schwerpunktthemen Ressourcenknappheit / Wirtschaft und Wasserknappheit. In diesen beiden Schwerpunktthemen finden Sie jeweils einen Beitrag von den Forscher*innen, den Lösungsfinder*innen und den Kommunikator*innen

Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

In the version of this article initially published, the author affiliations incorrectly listed “Candiolo Cancer Institute FPO-IRCCS, Candiolo (TO), Italy” as “Candiolo Cancer Institute, Candiolo, Italy.” The change has been made to the HTML and PDF versions of the article

Discovery of common and rare genetic risk variants for colorectal cancer.

To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 × 10-8, bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development.Goncalo R Abecasis has received compensation from 23andMe and Helix. He is currently an employee of Regeneron Pharmaceuticals. Heather Hampel performs collaborative research with Ambry Genetics, InVitae Genetics, and Myriad Genetic Laboratories, Inc., is on the scientific advisory board for InVitae Genetics and Genome Medical, and has stock in Genome Medical. Rachel Pearlman has participated in collaborative funded research with Myriad Genetics Laboratories and Invitae Genetics but has no financial competitive interest

Effective Profit Taxation and the Elasticity of the Corporate Income Tax Base: Evidence from German Corporate Tax Return Data

We estimate the elasticity of corporate taxable income with respect to the effective corporate tax rate on the basis of a pseudo-panel constructed from corporate tax return micro data for the period 1998-2001, a period which saw the introduction of a major corporate tax reform in Germany. Endogeneity of the effective tax rate is controlled for by an instrumental variable approach. Our instrument for the observed effective corporate tax rate is the counterfactual effective tax rate a corporation would face in a particular period had there be no endogenous change of corporate profits. This counterfactual is obtained from a detailed microsimulation model of the corporate sector based on tax return micro data. We find a statistically significant and relatively large point estimate of the average tax base elasticity, which implies that a reduction of the statutory corporate tax rate would reduce corporate tax receipts less tha n proportionally due to income shifting activities. We also find some statistically weak evidence for the hypothesis that the tax base elasticity is higher for corporations that may benefit from various forms of tax shields

Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer.

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 BRCA1 and BRCA2 mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC

Shifting the Burden of Corporate Taxes Heterogeneity in Direct Wage Incidence

We contribute to the empirical literature on the effective incidence of corporate income taxation. We focus on the so-called direct incidence via the wage bargaining process. Building on the innovative framework of Arulampalam, Devereux and Maffini (2012), we analyze the importance of various dimensions of heterogeneity at the firm-level. In particular, we investigate the distinct effects of (i) firm size, (ii) level of profitability, and (iii) competition intensity across (iv) different economic sectors. Furthermore, we investigate the relative importance of the surrounding institutional setting. To this end, a firm-level within-country approach is pursued separately for two different economies, namely France and the United Kingdom, which can be regarded as polar cases with respect to the relevant features of the wage-setting process. However, in many respects, we find surprisingly similar results for both countries. Thereby, this paper also adds to the literature by providing new insights on the degree to which results from previous single-country studies can possibly be generalized.Die effektive Inzidenz der Körperschaftsteuer ist ein theoretisch wie empirisch kontroverses Thema. Das Paper leistet einen Beitrag zur empirischen Literatur und fokussiert dabei auf die sogenannte direkte Inzidenz über den Lohnverhandlungskanal. Aufbauend auf dem innovativen Ansatz von Arulampalam, Devereux und Maffini (2012) wird die Bedeutung von verschiedenen Dimensionen der Heterogenität auf der Firmenebene analysiert. Konkret wird erforscht, welchen Einfluss (i) Firmengröße, (ii) Profitabilität und (iii) Wettbewerbsintensität in (iv) verschiedenen Branchen auf das Ausmaß ausüben, in dem die Last der Körperschaftsteuer auf die Löhne der Beschäftigten überwälzt wird. Darüber hinaus wird untersucht, welche Relevanz dabei den institutionellen Gegebenheiten der Lohnverhandlungen zukommt. Dazu werden alle Analysen separat für Frankreich und das Vereinigte Königreich vollzogen, deren Volkswirtschaften mit Blick auf Arbeitsmarktinstitutionen als polare Fälle gelten können. Die jeweiligen Ergebnisse für die beiden Länder sind sich jedoch qualitativ wie quantitativ überraschend ähnlich. Insofern gibt die Studie auch einen Hinweis darauf, inwiefern die Ergebnisse aus auf einzelne Länder bezogene Studien zur effektiven Lohninzidenz der Körperschaftsteuer generalisiert werden können