939 resultados para Watermelons Diseases and pests
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Glycan analysis was partly supported by European Commission GlycoBioM (contract #259869), IBD-BIOM (contract #305479), HighGlycan (contract #278535), MIMOmics (contract #305280), HTP-GlycoMet (contract #324400) and IntegraLife (contract #315997) grants. The SEATON cohort was partly funded by the UK Medical Research Council (contract #80219) and Asthma UK (contract #00/011 and 02/017) grants.
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BACKGROUND The presence of oral diseases and disorders can produce an impact on the quality of life of preschool children and their parents, affecting their oral health and well-being. However, socioeconomic factors could confound this association, but it has not been yet tested at this age. OBJECTIVE To assess the impact of early childhood caries (ECC), traumatic dental injuries (TDI) and malocclusions on the oral health-related quality of life (OHRQoL) of children between 2 and 5 years of age adjusted by socioeconomic factors. METHODS Parents of 260 children answered the Early Childhood Oral Health Impact Scale (ECOHIS) (six domains) on their perception of the children's OHRQoL and socioeconomic conditions. Two calibrated dentists (κ>0.8) examined the severity of ECC according to dmft index, and children were categorized into: 0=caries free; 1-5=low severity; ≥6=high severity. TDI and malocclusions were examined according to Andreasen & Andreasen (1994) classification and for the presence or absence of three anterior malocclusion traits (AMT), respectively. OHRQoL was measured through ECOHIS domain and total scores, and poisson regression was used to associate the different factors with the outcome. RESULTS In each domain and overall ECOHIS scores, the severity of ECC showed a negative impact on OHRQoL (P<0.001). TDI and AMT did not show a negative impact on OHRQoL nor in each domain (P>0.05). The increase in the child's age, higher household crowding, lower family income and mother working out of home were significantly associated with OHRQoL (P<0.05). The multivariate adjusted model showed that the high severity of ECC (RR=3.81; 95% CI=2.66, 5.46; P<0.001) was associated with greater negative impact on OHRQoL, while high family income was a protective factor for OHRQoL (RR=0.93; 95% CI=0.87, 0.99; P<0.001). CONCLUSIONS The severity of ECC and a lower family income had a negative impact on the OHRQoL of preschool children and their parents.
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Thesis (Master's)--University of Washington, 2016-06
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Intensification of aquaculture production in Uganda is likely to result into disease out-breaks leading to economic losses to commercial fish farms and associated natural aquatic ecosystems. This survey assessed health profiles of selected commercial fish farms and adjacent natural aquatic ecosystemsto identify fish diseases and parasites affecting Nile tilapia (Oreochromis niloticus) and African catfish (Clarias gariepinus) in aquaculture systems in Uganda. Fish farms encounter disease out-breaks that cause low survival rates (0 - 30%), especially catfish hatcheries. Health management issues are not well understood by fish farmers, with some unable to detect diseased fish. Current control strategies to control aquatic pathogens include use of chemotherapeutants and antibiotics. Bacterial pathogens isolated included Flavobacterium columnare, Aeromonas sp., Edwardsiella sp., Psuedomonus sp., Steptococcus sp., Staphylococcus sp., Proteus sp., and Vibrio sp. A high occurrence of Flavobacterium columnare exists in both asymptomatic and symptomatic fish was observed. Parasites included protozoans (Ichthyopthirius multiphilis, Trichodina sp. and Icthyobodo sp.) and trematodes (Cleidodiscus sp. and Gyrodactylus sp.). Diagnosis and control of diseases and parasites in aquaculture production systems requires adoption of a regional comprehensive biosecurity strategy: the East African (EAC) region unto which this study directly contributes.
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En los últimos años, los cuidados respiratorios especializados, y en particular los cuidados respiratorios no invasivos y otros avances tecnológicos han contribuido a una mejor calidad de vida y sobrevida de los pacientes con enfermedades neuromusculares. La naturaleza de las opciones terapéuticas (como ser la ventilación invasiva versus ventilación no invasiva, las cargas psicológicas, sociales y financieras) tienen ramificaciones éticas. Por lo tanto resulta esencial que los médicos comprendan todas las opciones terapéuticas y los factores psicosociales al informar a sus pacientes, en lo que tiene que ver con sus ventajas y desventajas y sus costos asociados, de modo que los padres puedan tomar decisiones informadas. Los nuevos desarrollos incluyen exámenes prenatales y neonatales más precisos, nuevas terapias genéticas y soporte respiratorio no invasivo para evitar episodios de fallas respiratorias y vías aéreas invasivas. Al empoderar a los pacientes y sus familias para educar y capacitar servicios personales de cuidados para que no deban depender de las instituciones y servicios de enfermería constante, y los recientes avances tecnológicos facilitan su permanencia en el hogar y dejan de estar atados a una vida dependiendo de la institución y los servicios de enfermería. Estos últimos infantilizan a los pacientes en lugar de promover su autonomía. Las consideraciones financieras, las terapias genéticas, el screening prenatal y las distintas opciones terapéuticas que promueven la autonomía, todos tienen implicancias éticas. Algunos de los avances discutidos en este artículo requieren un cambio de paradigma en la forma en que los médicos ven y tratan a estos individuos.
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Cancer and cardio-vascular diseases are the leading causes of death world-wide. Caused by systemic genetic and molecular disruptions in cells, these disorders are the manifestation of profound disturbance of normal cellular homeostasis. People suffering or at high risk for these disorders need early diagnosis and personalized therapeutic intervention. Successful implementation of such clinical measures can significantly improve global health. However, development of effective therapies is hindered by the challenges in identifying genetic and molecular determinants of the onset of diseases; and in cases where therapies already exist, the main challenge is to identify molecular determinants that drive resistance to the therapies. Due to the progress in sequencing technologies, the access to a large genome-wide biological data is now extended far beyond few experimental labs to the global research community. The unprecedented availability of the data has revolutionized the capabilities of computational researchers, enabling them to collaboratively address the long standing problems from many different perspectives. Likewise, this thesis tackles the two main public health related challenges using data driven approaches. Numerous association studies have been proposed to identify genomic variants that determine disease. However, their clinical utility remains limited due to their inability to distinguish causal variants from associated variants. In the presented thesis, we first propose a simple scheme that improves association studies in supervised fashion and has shown its applicability in identifying genomic regulatory variants associated with hypertension. Next, we propose a coupled Bayesian regression approach -- eQTeL, which leverages epigenetic data to estimate regulatory and gene interaction potential, and identifies combinations of regulatory genomic variants that explain the gene expression variance. On human heart data, eQTeL not only explains a significantly greater proportion of expression variance in samples, but also predicts gene expression more accurately than other methods. We demonstrate that eQTeL accurately detects causal regulatory SNPs by simulation, particularly those with small effect sizes. Using various functional data, we show that SNPs detected by eQTeL are enriched for allele-specific protein binding and histone modifications, which potentially disrupt binding of core cardiac transcription factors and are spatially proximal to their target. eQTeL SNPs capture a substantial proportion of genetic determinants of expression variance and we estimate that 58% of these SNPs are putatively causal. The challenge of identifying molecular determinants of cancer resistance so far could only be dealt with labor intensive and costly experimental studies, and in case of experimental drugs such studies are infeasible. Here we take a fundamentally different data driven approach to understand the evolving landscape of emerging resistance. We introduce a novel class of genetic interactions termed synthetic rescues (SR) in cancer, which denotes a functional interaction between two genes where a change in the activity of one vulnerable gene (which may be a target of a cancer drug) is lethal, but subsequently altered activity of its partner rescuer gene restores cell viability. Next we describe a comprehensive computational framework --termed INCISOR-- for identifying SR underlying cancer resistance. Applying INCISOR to mine The Cancer Genome Atlas (TCGA), a large collection of cancer patient data, we identified the first pan-cancer SR networks, composed of interactions common to many cancer types. We experimentally test and validate a subset of these interactions involving the master regulator gene mTOR. We find that rescuer genes become increasingly activated as breast cancer progresses, testifying to pervasive ongoing rescue processes. We show that SRs can be utilized to successfully predict patients' survival and response to the majority of current cancer drugs, and importantly, for predicting the emergence of drug resistance from the initial tumor biopsy. Our analysis suggests a potential new strategy for enhancing the effectiveness of existing cancer therapies by targeting their rescuer genes to counteract resistance. The thesis provides statistical frameworks that can harness ever increasing high throughput genomic data to address challenges in determining the molecular underpinnings of hypertension, cardiovascular disease and cancer resistance. We discover novel molecular mechanistic insights that will advance the progress in early disease prevention and personalized therapeutics. Our analyses sheds light on the fundamental biological understanding of gene regulation and interaction, and opens up exciting avenues of translational applications in risk prediction and therapeutics.
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Few studies have assessed the quality of life (QOL) related to chronic respiratory diseases in the elderly. In the framework of the geriatric study on the health effects of air quality in elderly care centers (GERIA) study, a questionnaire was completed by elderly subjects from 53 selected nursing homes. It included various sections in order to assess respiratory complaints, QOL (World Health Organization QOL (WHOQOL)-BREF), and the cognitive and depression status. The outcome variables were the presence of a score lower than 50 (<50) in each of the WHOQOL-BREF domains (physical health, psychological health, social relationships, and environmental health). Chronic bronchitis, frequent cough, current wheezing, asthma, and allergic rhinitis were considered as potential risk factors. The surveyed sample was (n = 887) 79% female, with a mean age of 84 years (SD: 7 years). In the multivariable analysis, a score of <50 in the physical domain was associated with wheezing in the previous 12 months (odds ratio (OR): 2.03, confidence interval (CI): 1.25-3.31) and asthma (OR: 1.95, CI: 1.12-3.38). The psychological domain was related with a frequent cough (OR: 1.43, CI: 0.95-2.91). A score of <50 in the environmental domain was associated with chronic bronchitis (OR: 2.89, CI: 1.34-6.23) and emphysema (OR: 3.89, CI: 1.27-11.88). In view of these findings, the presence of respiratory diseases seems to be an important risk factor for a low QOL among elderly nursing home residents.
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Transition to diets that are high in saturated fat and sugar has caused a global public health concern as the pattern of food consumption is a mayor modifiable risk factor for chronic non-communicable diseases Although agri food systems are intimately associated with this transition, agriculture and health sectors are largely disconnected in their priorities policy, and analysis with neither side considering the complex inter relation between agri trade patterns of food consumption health, and development We show the importance of connection of these perspectives through estimation of the effect of adopting a healthy diet on population health, agricultural production trade the economy and livelihoods, with a computable general equilibrium approach on the basis of case studies from the UK and Brazil we suggest that benefits of a healthy diet policy will vary substantially between different populations, not only because of population dietary intake but also because of agricultural production trade and other economic factors
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The genus Passiflora L. consists of approximately 530 widely distributed species, including Passiflora edulis, which has drawn interest because of its commercial and agronomic value. Passiflora cincinnata is another important species owing to its long flowering period and resistance or tolerance to diseases and pests. In the present study, the meiotic segregation and pollen viability of an interspecific hybrid (P. edulis x P. cincinnata) and its parents were analyzed. The genomic contents were characterized using chromomycin A3 (CMA3)/40-60-diamidino-2-phenylindole (DAPI) staining, fluorescent in situ hybridization with 5S/45S ribosomal DNA (rDNA), genomic in situ hybridization (GISH), and inter-simple sequence repeat (ISSR) markers. The results indicated the diploid chromosome number for the parents and interspecific hybrid was 2n = 18. We also observed regular meiosis, one pair of S rDNA sites, and two pairs of 45S rDNA sites that colocalized with two pairs of CMA3 /DAPI- bands. The GISH data revealed three distinct chromosomal groups in the hybrid. The genetic origins of the interspecific hybrid, and its relationship with its parents were also confirmed using ISSR markers.