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Sökning: WFRF:(Verhage B)

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1.
  • Rajewsky, N., et al. (författare)
  • LifeTime and improving European healthcare through cell-based interceptive medicine
  • 2020
  • Ingår i: Nature. - : Nature Research. - 0028-0836 .- 1476-4687.
  • Tidskriftsartikel (refereegranskat)abstract
    • LifeTime aims to track, understand and target human cells during the onset and progression of complex diseases and their response to therapy at single-cell resolution. This mission will be implemented through the development and integration of single-cell multi-omics and imaging, artificial intelligence and patient-derived experimental disease models during progression from health to disease. Analysis of such large molecular and clinical datasets will discover molecular mechanisms, create predictive computational models of disease progression, and reveal new drug targets and therapies. Timely detection and interception of disease embedded in an ethical and patient-centered vision will be achieved through interactions across academia, hospitals, patient-associations, health data management systems and industry. Applying this strategy to key medical challenges in cancer, neurological, infectious, chronic inflammatory and cardiovascular diseases at the single-cell level will usher in cell-based interceptive medicine in Europe over the next decade.
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2.
  • Vrieling, Alina, et al. (författare)
  • Fruit and vegetable consumption and pancreatic cancer risk in the European Prospective Investigation into Cancer and Nutrition
  • 2009
  • Ingår i: International Journal of Cancer. - : John Wiley and Sons Inc.. - 0020-7136 .- 1097-0215. ; 124:8, s. 1926-1934
  • Tidskriftsartikel (refereegranskat)abstract
    • Many case-control studies have suggested that higher consumption of fruit and vegetables is associated with a lower risk or pancreatic cancer, whereas cohort studies do not support such an association. We examined the associations of the consumption of. fruits and vegetables and their main subgroups with pancreatic cancer risk within the European Prospective Investigation into Cancer and Nutrition (EPIC). EPIC is comprised of over 520,000 Subjects recruited from 10 European countries. The present study included 555 exocrine pancreatic cancer cases after an average follow-up of 8.9 years. Estimates of risk were obtained by Cox proportional hazard models, stratified by age at recruitment, gender, and study center. and adjusted for total energy intake, weight, height, history of diabetes mellitus, and smoking status. Total consumption of fruit and vegetables, combined or separately, as well as subgroups of vegetables and fruits were unrelated to risk of pancreatic cancer. Hazard ratios (95% CI) for the highest versus the lowest quartile were 0.92 (0.68-1.25) for total fruit and vegetables combined, 0.99 (0.73-1.33) for total vegetables, and 1.02 (0.77-1.36) for total fruits. Stratification by gender or smoking status, restriction to microscopically verified cases, and exclusion of the first 2 years of follow-up (lid not materially change the results. These results from a large European prospective cohort Suggest that higher consumption of fruit and vegetables is not associated with decreased risk of pancreatic cancer. (C) 2008 Wiley-Liss, Inc.
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3.
  • Petimar, Joshua, et al. (författare)
  • A Pooled Analysis of 15 Prospective Cohort Studies on the Association between Fruit, Vegetable, and Mature Bean Consumption and Risk of Prostate Cancer.
  • 2017
  • Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - 1055-9965 .- 1538-7755. ; 26:8, s. 1276-1287
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Relationships between fruit, vegetable, and mature bean consumption and prostate cancer risk are unclear.Methods: We examined associations between fruit and vegetable groups, specific fruits and vegetables, and mature bean consumption and prostate cancer risk overall, by stage and grade, and for prostate cancer mortality in a pooled analysis of 15 prospective cohorts, including 52,680 total cases and 3,205 prostate cancer-related deaths among 842,149 men. Diet was measured by a food frequency questionnaire or similar instrument at baseline. We calculated study-specific relative risks using Cox proportional hazards regression, and then pooled these estimates using a random effects model.Results: We did not observe any statistically significant associations for advanced prostate cancer or prostate cancer mortality with any food group (including total fruits and vegetables, total fruits, total vegetables, fruit and vegetable juice, cruciferous vegetables, and tomato products), nor specific fruit and vegetables. In addition, we observed few statistically significant results for other prostate cancer outcomes. Pooled multivariable relative risks comparing the highest versus lowest quantiles across all fruit and vegetable exposures and prostate cancer outcomes ranged from 0.89 to 1.09. There was no evidence of effect modification for any association by age or body mass index.Conclusions: Results from this large, international, pooled analysis do not support a strong role of collective groupings of fruits, vegetables, or mature beans in prostate cancer.Impact: Further investigation of other dietary exposures, especially indicators of bioavailable nutrient intake or specific phytochemicals, should be considered for prostate cancer risk. Cancer Epidemiol Biomarkers Prev; 26(8); 1276-87. ©2017 AACR.
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4.
  • Genkinger, Jeanine M., et al. (författare)
  • A pooled analysis of 14 cohort studies of anthropometric factors and pancreatic cancer risk
  • 2011
  • Ingår i: International Journal of Cancer. - : WILEY. - 0020-7136 .- 1097-0215. ; 129:7, s. 1708-1717
  • Tidskriftsartikel (refereegranskat)abstract
    • Epidemiologic studies of pancreatic cancer risk have reported null or nonsignificant positive associations for obesity, while associations for height have been null. Waist and hip circumference have been evaluated infrequently. A pooled analysis of 14 cohort studies on 846,340 individuals was conducted; 2,135 individuals were diagnosed with pancreatic cancer during follow-up. Study-specific relative risks (RRs) and 95% confidence intervals (CIs) were calculated by Cox proportional hazards models, and then pooled using a random effects model. Compared to individuals with a body mass index (BMI) at baseline between 21-22.9 kg/m(2), pancreatic cancer risk was 47% higher (95% CI:23-75%) among obese (BMI >= 30 kg/m(2)) individuals. A positive association was observed for BMI in early adulthood (pooled multivariate [MV]RR = 1.30, 95%CI = 1.09-1.56 comparing BMI >= 25 kg/m(2) to a BMI between 21 and 22.9 kg/m(2)). Compared to individuals who were not overweight in early adulthood (BMI < 25 kg/m(2)) and not obese at baseline (BMI < 30 kg/m(2)), pancreatic cancer risk was 54% higher (95%CI = 24-93%) for those who were overweight in early adulthood and obese at baseline. We observed a 40% higher risk among individuals who had gained BMI >= 10 kg/m(2) between BMI at baseline and younger ages compared to individuals whose BMI remained stable. Results were either similar or slightly stronger among never smokers. A positive association was observed between waist to hip ratio (WHR) and pancreatic cancer risk (pooled MVRR = 1.35 comparing the highest versus lowest quartile, 95%CI = 1.03-1.78). BMI and WHR were positively associated with pancreatic cancer risk. Maintaining normal body weight may offer a feasible approach to reducing morbidity and mortality from pancreatic cancer.
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5.
  • Genkinger, Jeanine M., et al. (författare)
  • Alcohol Intake and Pancreatic Cancer Risk : A Pooled Analysis of Fourteen Cohort Studies
  • 2009
  • Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - 1055-9965 .- 1538-7755. ; 18:3, s. 765-776
  • Forskningsöversikt (refereegranskat)abstract
    • Background: Few risk factors have been implicated in pancreatic cancer etiology. Alcohol has been theorized to promote carcinogenesis. However, epidemiologic studies have reported inconsistent results relating alcohol intake to pancreatic cancer risk. Methods: We conducted a pooled analysis of the primary data from 14 prospective cohort studies. The study sample consisted of 862,664 individuals among whom 2,187 incident pancreatic cancer cases were identified. Study-specific relative risks and 95% confidence intervals were calculated using Cox proportional hazards models and then pooled using a random effects model. Results: A slight positive association with pancreatic cancer risk was observed for alcohol intake (pooled multivariate relative risk, 1.22; 95% confidence interval, 1.03-1.45 comparing >= 30 to 0 grams/day of alcohol; P value, test for between-studies heterogeneity = 0.80). For this comparison, the positive association was only statistically significant among women although the difference in the results by gender was not statistically significant (P value, test for interaction = 0.19). Slightly stronger results for alcohol intake were observed when we limited the analysis to cases with adenocarcinomas of the pancreas. No statistically significant associations were observed for alcohol from wine, beer, and spirits comparing intakes of >= 5 to 0 grams/day. A stronger positive association between alcohol consumption and pancreatic cancer risk was observed among normal weight individuals compared with overweight and obese individuals (P value, test for interaction = 0.01). Discussion: Our findings are consistent with a modest increase in risk of pancreatic cancer with consumption of 30 or more grams of alcohol per day. (Cancer Epidemiol Biomarkers Prev 2009;18(3):765-76)
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6.
  • Lips, E. S., et al. (författare)
  • Functional gene group analysis identifies synaptic gene groups as risk factor for schizophrenia
  • 2012
  • Ingår i: Molecular Psychiatry. - 1359-4184 .- 1476-5578. ; 17:10, s. 996-1006
  • Tidskriftsartikel (refereegranskat)abstract
    • Schizophrenia is a highly heritable disorder with a polygenic pattern of inheritance and a population prevalence of similar to 1%. Previous studies have implicated synaptic dysfunction in schizophrenia. We tested the accumulated association of genetic variants in expert-curated synaptic gene groups with schizophrenia in 4673 cases and 4965 healthy controls, using functional gene group analysis. Identifying groups of genes with similar cellular function rather than genes in isolation may have clinical implications for finding additional drug targets. We found that a group of 1026 synaptic genes was significantly associated with the risk of schizophrenia (P = 7.6 x 10(-11)) and more strongly associated than 100 randomly drawn, matched control groups of genetic variants (P < 0.01). Subsequent analysis of synaptic subgroups suggested that the strongest association signals are derived from three synaptic gene groups: intracellular signal transduction (P = 2.0 x 10(-4)), excitability (P = 9.0 x 10(-4)) and cell adhesion and trans-synaptic signaling (P = 2.4 x 10(-3)). These results are consistent with a role of synaptic dysfunction in schizophrenia and imply that impaired intracellular signal transduction in synapses, synaptic excitability and cell adhesion and trans-synaptic signaling play a role in the pathology of schizophrenia. Molecular Psychiatry (2012) 17, 996-1006; doi:10.1038/mp.2011.117; published online 20 September 2011
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10.
  • Nadadhur, A. G., et al. (författare)
  • Multi-level characterization of balanced inhibitory-excitatory cortical neuron network derived from human pluripotent stem cells
  • 2017
  • Ingår i: PLoS ONE. - : Public Library of Science. - 1932-6203 .- 1932-6203. ; 12:6
  • Tidskriftsartikel (refereegranskat)abstract
    • Generation of neuronal cultures from induced pluripotent stem cells (hiPSCs) serve the studies of human brain disorders. However we lack neuronal networks with balanced excitatory- inhibitory activities, which are suitable for single cell analysis. We generated low-density networks of hPSC-derived GABAergic and glutamatergic cortical neurons. We used two different co-culture models with astrocytes. We show that these cultures have balanced excitatory-inhibitory synaptic identities using confocal microscopy, electrophysiological recordings, calcium imaging and mRNA analysis. These simple and robust protocols offer the opportunity for single-cell to multi-level analysis of patient hiPSC-derived cortical excitatory- inhibitory networks; thereby creating advanced tools to study disease mechanisms underlying neurodevelopmental disorders.
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