74 resultados para 361.7
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This review on intra-individual factors affecting drug metabolism completes our series on the biochemistry of drug metabolism. The article presents the molecular mechanisms causing intra-individual differences in enzyme expression and activity. They include enzyme induction by transcriptional activation and enzyme inhibition on the protein level. The influencing factors are of physiological, pathological, or external origin. Tissue characteristics and developmental age strongly influence enzyme-expression patterns. Further influencing factors are pregnancy, disease, or biological rhythms. Xenobiotics, drugs, constituents of herbal remedies, food constituents, ethanol, and tobacco can all influence enzyme expression or activity and, hence, affect drug metabolism.
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Multiple genome-wide association studies (GWAS) have been performed in HIV-1 infected individuals, identifying common genetic influences on viral control and disease course. Similarly, common genetic correlates of acquisition of HIV-1 after exposure have been interrogated using GWAS, although in generally small samples. Under the auspices of the International Collaboration for the Genomics of HIV, we have combined the genome-wide single nucleotide polymorphism (SNP) data collected by 25 cohorts, studies, or institutions on HIV-1 infected individuals and compared them to carefully matched population-level data sets (a list of all collaborators appears in Note S1 in Text S1). After imputation using the 1,000 Genomes Project reference panel, we tested approximately 8 million common DNA variants (SNPs and indels) for association with HIV-1 acquisition in 6,334 infected patients and 7,247 population samples of European ancestry. Initial association testing identified the SNP rs4418214, the C allele of which is known to tag the HLA-B*57:01 and B*27:05 alleles, as genome-wide significant (p = 3.6×10(-11)). However, restricting analysis to individuals with a known date of seroconversion suggested that this association was due to the frailty bias in studies of lethal diseases. Further analyses including testing recessive genetic models, testing for bulk effects of non-genome-wide significant variants, stratifying by sexual or parenteral transmission risk and testing previously reported associations showed no evidence for genetic influence on HIV-1 acquisition (with the exception of CCR5Δ32 homozygosity). Thus, these data suggest that genetic influences on HIV acquisition are either rare or have smaller effects than can be detected by this sample size.
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PURPOSE: To objectively compare quantitative parameters related to image quality attained at coronary magnetic resonance (MR) angiography of the right coronary artery (RCA) performed at 7 T and 3 T. MATERIALS AND METHODS: Institutional review board approval was obtained, and volunteers provided signed informed consent. Ten healthy adult volunteers (mean age ± standard deviation, 25 years ± 4; seven men, three women) underwent navigator-gated three-dimensional MR angiography of the RCA at 7 T and 3 T. For 7 T, a custom-built quadrature radiofrequency transmit-receive surface coil was used. At 3 T, a commercial body radiofrequency transmit coil and a cardiac coil array for signal reception were used. Segmented k-space gradient-echo imaging with spectrally selective adiabatic fat suppression was performed, and imaging parameters were similar at both field strengths. Contrast-to-noise ratio between blood and epicardial fat; signal-to-noise ratio of the blood pool; RCA vessel sharpness, diameter, and length; and navigator efficiency were quantified at both field strengths and compared by using a Mann-Whitney U test. RESULTS: The contrast-to-noise ratio between blood and epicardial fat was significantly improved at 7 T when compared with that at 3 T (87 ± 34 versus 52 ± 13; P = .01). Signal-to-noise ratio of the blood pool was increased at 7 T (109 ± 47 versus 67 ± 19; P = .02). Vessel sharpness obtained at 7 T was also higher (58% ± 9 versus 50% ± 5; P = .04). At the same time, RCA vessel diameter and length and navigator efficiency showed no significant field strength-dependent difference. CONCLUSION: In our quantitative and qualitative study comparing in vivo human imaging of the RCA at 7 T and 3 T in young healthy volunteers, parameters related to image quality attained at 7 T equal or surpass those from 3 T.
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Climate change data and predictions for the Himalayas are very sparse and uncertain, characterized by a ?Himalayan data gap? and difficulties in predicting changes due to topographic complexity. A few reliable studies and climate change models for Nepal predict considerable changes: shorter monsoon seasons, more intensive rainfall patterns, higher temperatures, and drought. These predictions are confirmed by farmers who claim that temperatures have been increasing for the past decade and wonder why the rains have ?gone mad.? The number of hazard events, notably droughts, floods, and landslides are increasing and now account for approximately 100 deaths in Nepal annually. Other effects are drinking water shortages and shifting agricultural patterns, with many communities struggling to meet basic food security before climatic conditions started changing. The aim of this paper is to examine existing gaps between current climate models and the realities of local development planning through a case study on flood risk and drinking water management for the Municipality of Dharan in Eastern Nepal. This example highlights current challenges facing local-level governments, namely, flood and landslide mitigation, providing basic amenities ? especially an urgent lack of drinking water during the dry season ? poor local planning capacities, and limited resources. In this context, the challenge for Nepal will be to simultaneously address increasing risks caused by hazard events alongside the omnipresent food security and drinking water issues in both urban and rural areas. Local planning is needed that integrates rural development and disaster risk reduction (DRR) with knowledge about climate change considerations. The paper concludes with a critical analysis of climate change modeling and the gap between scientific data and low-tech and low capacities of local planners to access or implement adequate adaptation measures. Recommendations include the need to bridge gaps between scientific models, the local political reality and local information needs.
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The buccal mucosal route offers several advantages but the delivery of certain drugs can be limited by low membrane permeability. This study investigated the buccal permeability properties of didanosine (ddI) and assessed the potential of ALOE VERA gel (AVgel) as a novel buccal permeation enhancer. Permeation studies were performed using Franz diffusion cells, and the drug was quantified by UV spectroscopy. Histomorphological evaluations were undertaken using light and transmission electron microscopy. The permeability of ddI was concentration-dependent, and it did not have any adverse effects on the buccal mucosae. A linear relationship (R (2) = 0.9557) between the concentrations and flux indicated passive diffusion as the mechanism of drug transport. AVgel at concentrations of 0.25 to 2 %w/v enhanced ddI permeability with enhancement ratios from 5.09 (0.25 %w/v) to 11.78 (2 %w/v) but decreased permeability at 4 and 6 %w/v. Ultrastructural analysis of the buccal mucosae treated with phosphate buffer saline pH 7.4 (PBS), ddI/PBS, and ddI/PBS/AVgel 0.5 %w/v showed cells with normal plasmalemma, well-developed cristae, and nuclei with regular nuclear envelopes. However, cells from 1, 2, and 6 %w/v AVgel-treated mucosae showed irregular nuclear outlines, increased intercellular spacing, and plasmalemma crenulations. This study demonstrates the potential of AVgel as a buccal permeation enhancer for ddI to improve anti-HIV and AIDS therapy.
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Objectives : The FREEDOM trial1 open-label extension is designed to evaluate the long-term efficacy and safety of denosumab for up to 10 years. We report the results from the first 2 years of the extension, representing up to 5 years of denosumab exposure.Materials/Methods : Postmenopausal women enrolled in the extension previously completed FREEDOM. During the extension, all women receive denosumab (60 mg) every 6 months and calcium and vitamin D daily. For the FREEDOM denosumab group, the data reflect 5 years of denosumab treatment (long-term group). For the FREEDOM placebo group, the data reflect 2 years of denosumab treatment (de novo group). P-values are descriptive.Results : There were 4550 (70.2%) FREEDOM women enrolled in the extension (2343 long-term; 2207 de novo). During the 4th and 5th years of denosumab treatment, the long-term group had further 1.9% and 1.7% increases in lumbar spine BMD and further 0.7% and 0.6% increases in total hip BMD (all P<0.0001 compared with extension baseline). Total BMD increases with 5-year denosumab treatment were 13.7% (lumbar spine) and 7.0% (total hip). In the de novo group, BMD increased during the first 2 years of denosumab treatment by 7.9% (lumbar spine) and 4.1% (total hip) (all P<0.0001 compared with extension baseline). After denosumab administration, serum CTX was rapidly and maximally reduced in both groups with the characteristic attenuation observed at the end of the dosing interval, as previously reported.2 Incidences of new vertebral and nonvertebral fractures were low and below rates observed in the FREEDOM placebo group. Adverse event reports were similar for both groups: in the long-term group, 83.4% reported AEs and 18.9% were serious. In the de novo group, the percentages were 82.8% and 19.4%, respectively. In FREEDOM, the respective percentages were 92.8% and 25.8% in the denosumab group and 93.1% and 25.1% in the placebo group. Two subjects in the de novo group had AEs adjudicated to ONJ which healed without further complications ; one resolved within the 6-month dosing interval and denosumab was continued. There were no atypical femoral fractures.Conclusions : Denosumab treatment for 5 years was well-tolerated and continued to significantly reduce CTX and significantly increase BMD. Reference: 1)Cummings;NEJM;2009;361:756, 2)Eastell;JBMR;2010; doi-10.1002/jbmr.251 Disclosure of Interest: This study was funded by Amgen; S Papapoulos: Consulting fees from Amgen, Merck, Novartis, Procter & Gamble, GSK, and Wyeth; R Chapurlat: Research grants and/or consulting fees from Amgen, Merck, Novartis, sanofi-aventis, Roche, Servier, and Warner Chilcott;ML Brandi: Research grants and/or consulting fees from Amgen, Eli Lily, GSK, MSD, NPS, Nycomed, Roche, Servier, and Stroder; JP Brown: Research grants and/or consulting or speaking fees from Abott, Amgen, Bristol Myers Squibb, Eli Lilly, Pfizer, Roche, Novartis, Merck, and Warner Chilcott; E Czerwinski: Research grants from Amgen, Astrazeneca, Danone Research, Eli Lilly, Merck Sharp & Dohme, Merck Serono, Novartis, Pfizer, Roche, SantoSolve AS, and Servier; N Daizadeh, A Grauer, C Libanati: Employed by Amgen and own Amgen stocks or stock options; M-A Krieg, D Mellstrom, H Resch: None; S Radominski: Research grants from Amgen, Pfizer, Novartis, Bristol-Myers Squibb, Roche, and Aventis; Z Man: Lecture fees and/or consulting fees from Merck, Novartis, Roche, and sanofi-aventis. Novartis steering committee member; JA Roman: Research grants from Roche; J-Y Reginster: Research grants, consulting fees, and/or lecture fees from Amgen, Analis, Bristol Myers Squibb, Ebewee Pharma, Genevrier, GSK, IBSA, Lilly, Merck Sharp & Dhome, Negma, Novartis, Novo-Nordisk, Nycomed, NPS, Roche, Rottapharm, Servier, Teijin, Teva, Theramex, UCB, Wyeth, and Zodiac; C Roux: Research grants and/or consulting fees from Amgen, MSD, Novartis, Servier, and Roche; SR Cummings: Research grants and/or consulting fees from Amgen, Eli Lilly, Novartis, and Merck; HG Bone: Research grants and/or consulting or speaking fees from Amgen, Eli Lilly, Merck, Nordic Bioscience, Novartis, Takeda, and Zelos
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Population viability analyses (PVA) are increasingly used in metapopulation conservation plans. Two major types of models are commonly used to assess vulnerability and to rank management options: population-based stochastic simulation models (PSM such as RAMAS or VORTEX) and stochastic patch occupancy models (SPOM). While the first set of models relies on explicit intrapatch dynamics and interpatch dispersal to predict population levels in space and time, the latter is based on spatially explicit metapopulation theory where the probability of patch occupation is predicted given the patch area and isolation (patch topology). We applied both approaches to a European tree frog (Hyla arborea) metapopulation in western Switzerland in order to evaluate the concordances of both models and their applications to conservation. Although some quantitative discrepancies appeared in terms of network occupancy and equilibrium population size, the two approaches were largely concordant regarding the ranking of patch values and sensitivities to parameters, which is encouraging given the differences in the underlying paradigms and input data.