986 results found
Fernstad SJ, Glen RC, 2014, Visual Analysis of Missing Data - To See What Isn't There, IEEE Conference Visual Analytics Sci Technology, Publisher: IEEE, Pages: 249-250, ISSN: 2325-9442
Cai Y, Blangiardo M, De Hoogh K, et al., 2014, Road traffic noise, air pollution and cardio-respiratory health in European cohorts: A harmonised approach in the BioSHaRE project
Background and aims: Few studies have investigated joint effects of road traffic noise and air pollution on cardiovascular outcomes. This project aims to quantify the joint and separate effects of both exposures on prevalent and incident cardiovascular disease and asthma as part of the EU-funded BioSHaRE project involving five European cohorts (EPIC-Oxford, EPIC-Turin, HUNT, Lifelines, UK Biobank). Methods: Health outcomes have been ascertained by self-report (prevalence) and medical record (incidence) and retrospectively harmonised across the five cohorts. Residential road traffic noise exposures for each participant are being estimated using a European noise model based on Common Noise Assessment Methods in Europe (CNOSSOS-EU). Cross-sectional epidemiological analyses are in progress, virtually pooled using DataSHIELD methods. Results: In total, 716,945 men and women are included, mostly >40 years. Initial analysis of EPIC-Oxford and Lifelines showed prevalence of self-reported hypertension to be 26%, high blood lipids 15% and asthma 11% and mean annual 24-hour noise estimates of 56.4 dB(A) (EPIC-Oxford) and 65.8 dB(A) (Lifelines). Correlations between noise estimates and NO2 are generally low (r~0.1 to 0.4). Conclusions: Pooling of individual level harmonised data from established cohorts offers the large sample sizes needed to investigate effects of road traffic noise and ambient air pollution on cardio-respiratory diseases.
Hansell AL, Blangiardo M, Fortunato L, et al., 2014, Daytime and night-time aircraft noise and cardiovascular disease near Heathrow airport in London
Background. Few studies have investigated associations of aircraft noise with cardiovascular health. We investigated this in areas exposed to noise from London Heathrow airport. Methods. A small area study was conducted in 12,110 census output areas covering 3.6 million residents. Risks for hospital admissions and mortality in 2001-05 were assessed in relation to aircraft noise in 2001, adjusted for relevant confounders. Night (Lnight) and daytime (LAeq,16h) aircraft noise were assessed separately. Results. Higher aircraft noise was associated with higher relative risks for hospital admissions and mortality from stroke, coronary heart disease (CHD) and cardiovascular disease. Risk estimates were higher for night-time than daytime noise. Adjusted risks werehighest for stroke, with RR 1.29 [95% CI 1.14 to 1.46] for Lnight and RR 1.08 [95% CI 1.02 to 1.14] for LAeq,16hfor >55dB vs. <50dB. All linear dose-response relationships were statistically significant for hospital admissions but not for mortality, except for CHD and LAeq,16h. Discussion. This research attracted a high level of policy interest. However, the impact of this and other recent papers on policy decisions such as increased airport capacity in England is currently unclear. Priority areas for follow-up health research into aircraft noise need to be considered.
Liggi S, Drakakis G, Koutsoukas A, et al., 2014, Extending in silico mechanism-of-action analysis by annotating targets with pathways: application to cellular cytotoxicity readouts, FUTURE MEDICINAL CHEMISTRY, Vol: 6, Pages: 2029-2056, ISSN: 1756-8919
Dumas M-E, Kinross J, Nicholson JK, 2014, Metabolic Phenotyping and Systems Biology Approaches to Understanding Metabolic Syndrome and Fatty Liver Disease, GASTROENTEROLOGY, Vol: 146, Pages: 46-62, ISSN: 0016-5085
Stamler J, Brown IJ, Yap IKS, et al., 2013, Dietary and Urinary Metabonomic Factors Possibly Accounting for Higher Blood Pressure of Black Compared With White Americans Results of International Collaborative Study on Macro-/Micronutrients and Blood Pressure, HYPERTENSION, Vol: 62, Pages: 1074-1080, ISSN: 0194-911X
Posma JM, Robinette SL, Holmes E, et al., 2013, MetaboNetworks, an interactive Matlab-based toolbox for creating, customizing and exploring sub-networks from KEGG, Bioinformatics
MetaboNetworks is a tool to create custom sub-networks in Matlab using main reaction pairs as defined by the Kyoto Encyclopaedia of Genes and Genomes (KEGG) and can be used to explore transgenomic interactions, for example mammalian and bacterial associations. It calculates the shortest path between a set of metabolites (e.g. biomarkers from a metabonomic study) and plots the connectivity between metabolites as links in a network graph. The resulting graph can be edited and explored interactively. Furthermore, nodes and edges in the graph are linked to the KEGG compound and reaction pair webpages.
Nguyen HP, Koutsoukas A, Fauzi FM, et al., 2013, Diversity Selection of Compounds Based on 'Protein Affinity Fingerprints' Improves Sampling of Bioactive Chemical Space, CHEMICAL BIOLOGY & DRUG DESIGN, Vol: 82, Pages: 252-266, ISSN: 1747-0277
Lazarus J, Safreed-Harmon K, Nicholson J, et al., 2013, Health service delivery models for the provision of antiretroviral therapy in sub-Saharan Africa: a systematic review, Publisher: WILEY-BLACKWELL, Pages: 17-17, ISSN: 1360-2276
Koutsoukas A, Lowe R, KalantarMotamedi Y, et al., 2013, In Silico Target Predictions: Defining a Benchmarking Data Set and Comparison of Performance of the Multiclass Naive Bayes and Parzen-Rosenblatt Window, JOURNAL OF CHEMICAL INFORMATION AND MODELING, Vol: 53, Pages: 1957-1966, ISSN: 1549-9596
Balog J, Sasi-Szabo L, Kinross J, et al., 2013, Intraoperative Tissue Identification Using Rapid Evaporative Ionization Mass Spectrometry, SCIENCE TRANSLATIONAL MEDICINE, Vol: 5, ISSN: 1946-6234
Athersuch TJ, Malik S, Weljie A, et al., 2013, Evaluation of H-1 NMR Metabolic Profiling Using Biofluid Mixture Design, ANALYTICAL CHEMISTRY, Vol: 85, Pages: 6674-6681, ISSN: 0003-2700
Swann JR, Spagou K, Lewis M, et al., 2013, Microbial-Mammalian Cometabolites Dominate the Age-associated Urinary Metabolic Phenotype in Taiwanese and American Populations, JOURNAL OF PROTEOME RESEARCH, Vol: 12, Pages: 3166-3180, ISSN: 1535-3893
Richards SE, Wang Y, Claus SP, et al., 2013, Metabolic Phenotype Modulation by Caloric Restriction in a Lifelong Dog Study, JOURNAL OF PROTEOME RESEARCH, Vol: 12, Pages: 3117-3127, ISSN: 1535-3893
Robinette SL, Lindon JC, Nicholson JK, 2013, Statistical Spectroscopic Tools for Biomarker Discovery and Systems Medicine, ANALYTICAL CHEMISTRY, Vol: 85, Pages: 5297-5303, ISSN: 0003-2700
LI JV, Holmes E, 2013, Metabonomics, The Human Microbiota and Microbiome, Editors: Marchesi
Application of metabonomics to understanding gut microbiome and host metabolic interplay
Mirnezami R, Veselkov K, Strittmatter N, et al., 2013, Novel data processing and image co-registration algorithm for region-specific lipid profiling in colorectal cancer tissue using DESI imaging mass spectrometry, 49th Annual Meeting of the American-Society-of-Clinical-Oncology (ASCO), Publisher: AMER SOC CLINICAL ONCOLOGY, ISSN: 0732-183X
Li J, Kinross J, Ou J, et al., 2013, A High Fat Lower Fiber Dietary Intervention Perturbs the Urinary Metabonome and Gut Microbial Co-Metabolic Processes in a Population of African and African Americans, Digestive Disease Week / 28th Annual Residents and Fellows Research Conference of the Society-for-Surgery-of-the-Alimentary-Tract (SSAT), Publisher: W B SAUNDERS CO-ELSEVIER INC, Pages: S348-S348, ISSN: 0016-5085
Zheng X, Zhao A, Xie G, et al., 2013, Melamine-Induced Renal Toxicity Is Mediated by the Gut Microbiota (vol 5, 172ra22, 2013), SCIENCE TRANSLATIONAL MEDICINE, Vol: 5, ISSN: 1946-6234
Lees HJ, Swann JR, Wilson ID, et al., 2013, Hippurate: The Natural History of a Mammalian-Microbial Cometabolite, JOURNAL OF PROTEOME RESEARCH, Vol: 12, Pages: 1527-1546, ISSN: 1535-3893
Boulange CL, Claus SP, Chou CJ, et al., 2013, Early Metabolic Adaptation in C57BL/6 Mice Resistant to High Fat Diet Induced Weight Gain Involves an Activation of Mitochondrial Oxidative Pathways, JOURNAL OF PROTEOME RESEARCH, Vol: 12, Pages: 1956-1968, ISSN: 1535-3893
Shalhoub J, Vorkas PA, Isaac G, et al., 2013, Metabolic profiling of human atherosclerosis tissue reveals mechanisms of atherosclerosis progression and differences between carotid and femoral plaques, 47th Annual Scientific Meeting of the Vascular-Society-of-Great-Britain-and-Ireland, Publisher: WILEY-BLACKWELL, Pages: 7-7, ISSN: 0007-1323
Chan Q, Stamler J, Posma J, et al., 2013, Relationship of Coffee Consumption and its Urinary Biomarker to Blood Pressure: The Intermap Study, Scientific Sessions of the American-Heart-Association on Epidemiology and Prevention/Physical Activity, Nutrition and Metabolism, Publisher: LIPPINCOTT WILLIAMS & WILKINS, ISSN: 0009-7322
Seyfried F, Li JV, Miras AD, et al., 2013, Urinary Phenotyping Indicates Weight Loss-Independent Metabolic Effects of Roux-en-Y Gastric Bypass in Mice, JOURNAL OF PROTEOME RESEARCH, Vol: 12, Pages: 1245-1253, ISSN: 1535-3893
Zheng X, Zhao A, Xie G, et al., 2013, Melamine-Induced Renal Toxicity Is Mediated by the Gut Microbiota, SCIENCE TRANSLATIONAL MEDICINE, Vol: 5, ISSN: 1946-6234
Fonville JM, Carter CL, Pizarro L, et al., 2013, Hyperspectral Visualization of Mass Spectrometry Imaging Data, ANALYTICAL CHEMISTRY, Vol: 85, Pages: 1415-1423, ISSN: 0003-2700
Jimenez B, Mirnezami R, Kinross J, et al., 2013, H-1 HR-MAS NMR Spectroscopy of Tumor-Induced Local Metabolic "Field-Effects" Enables Colorectal Cancer Staging and Prognostication, JOURNAL OF PROTEOME RESEARCH, Vol: 12, Pages: 959-968, ISSN: 1535-3893
Kirchmair J, Howlett A, Peironcely JE, et al., 2013, How Do Metabolites Differ from Their Parent Molecules and How Are They Excreted?, JOURNAL OF CHEMICAL INFORMATION AND MODELING, Vol: 53, Pages: 354-367, ISSN: 1549-9596
Smith MI, Yatsunenko T, Manary MJ, et al., 2013, Gut microbiomes of Malawian twin pairs discordant for kwashiorkor, science.
Nicholson J, 2013, Cancer knife sniffs out cancer cells (Science (221)), Science, Vol: 341, ISSN: 0036-8075
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