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The incidence of asthma and obesity is increasing, therefore they have been classified as public health problems; epidemiology suggests a link between these diseases. It has been detected a relationship between the body mass index and lung function, moreover some works show a direct correlation between the aforementioned index and severity of asthma. By a search for articles in indexed journals from medical databases with the key words asthma and obesity: pathogenesis, inflammation, adipokines, hypoxia, nutrition, pregnancy, this paper deeps in the knowledge about basic elements that offer an asthma and obesity link. It was found that the association between body mass index and asthma is more frequent in women. Asthma and obesity might be influenced by genetic elements and fetal programming; at the same time obesity could influence asthma by several mechanisms such as inflammation, hormones and mechanical respiratory dysfunction. The existing coincidence between several inducers and factors which exacerbate these diseases as well as in some molecular routes shows a potential relation between both pathological entities. [ABSTRACT FROM AUTHOR]

Summary: Sungear is a software system that supports a rapid, visually interactive and biologist-driven comparison of large datasets. The datasets can come from microarray experiments (e.g. genes induced in each experiment), from comparative genomics (e.g. genes present in each genome) or even from non-biological applications (e.g. demographics or baseball statistics). Sungear represents multiple datasets as vertices in a polygon. Each possible intersection among the sets is represented as a circle inside the polygon. The position of the circle is determined by the position of the vertices represented in the intersection and the area of the circle is determined by the number of elements in the intersection. Sungear shows which Gene Ontology terms are over-represented in a subset of circles or anchors. The intuitive Sungear interface has enabled biologists to determine quickly which dataset or groups of datasets play a role in a biological function of interest.Availability: A live online version of Sungear can be found at http://virtualplant-prod.bio.nyu.edu/cgi-bin/sungear/index.cgiContact:shasha@cs.nyu.eduSupplementary information: Submitted—link TBD. [ABSTRACT FROM AUTHOR]

We present a case of intense genital swelling because of a hereditary angioedema. This rare disease should be included in the differential diagnosis of acute and asymptomatic genital edema, because it may prevent future potentially life-threatening episodes of visceral angioedema. [ABSTRACT FROM AUTHOR]

Diffuse capillary malformation with overgrowth (DCMO) has recently been proposed as an independent entity within the wide spectrum of vascular abnormalities associated with overgrowth. We present a new case of DCMO with an unusual harlequin-like appearance. Physicians should bear in mind this diagnosis because its better prognosis. (J Dermatol Case Rep. 2014; 8(4): 118-119) [ABSTRACT FROM AUTHOR]

Nitrogen (N) is an essential macronutrient for plants and a major limiting factor for plant growth and crop production. Nitrate is the main source of N available to plants in agricultural soils and in many natural environments. Sustaining agricultural productivity is of paramount importance in the current scenario of increasing world population, diversification of crop uses, and climate change. Plant productivity for major crops around the world, however, is still supported by excess application of N-rich fertilizers with detrimental economic and environmental impacts. Thus, understanding how plants regulate nitrate uptake and metabolism is key for developing new crops with enhanced N use efficiency and to cope with future world food demands. The study of plant responses to nitrate has gained considerable interest over the last 30 years. This review provides an overview of key findings in nitrate research, spanning biochemistry, molecular genetics, genomics, and systems biology. We discuss how we have reached our current view of nitrate transport, local and systemic nitrate sensing/signaling, and the regulatory networks underlying nitrate-controlled outputs in plants. We hope this summary will serve not only as a timeline and information repository but also as a baseline to define outstanding questions for future research. [ABSTRACT FROM AUTHOR]

Basal cell carcinoma (BCC) is the most common human cancer and represents a growing public health care problem. Several tumor suppressor genes and proto-oncogenes have been implicated in BCC pathogenesis, including the key components of the Hedgehog pathway, PTCH1 and SMO, the TP53 tumor suppressor, and members of the RAS proto-oncogene family. Aberrant activation of the Hedgehog pathway represents the molecular driver in basal cell carcinoma pathogenesis, with the majority of BCCs carrying somatic point mutations, mainly ultraviolet (UV)-induced, and/or copy-loss of heterozygosis in the PTCH1 gene. Recent advances in sequencing technology allowed genome-scale approaches to mutation discovery, identifying new genes and pathways potentially involved in BCC carcinogenesis. Mutational and functional analysis suggested PTPN14 and LATS1, both effectors of the Hippo-YAP pathway, and MYCN as new BCC-associated genes. In addition, emerging reports identified frequent non-coding mutations within the regulatory promoter sequences of the TERT and DPH3-OXNAD1 genes. Thus, it is clear that a more complex genetic network of cancer-associated genes than previously hypothesized is involved in BCC carcinogenesis, with a potential impact on the development of new molecular targeted therapies. This article reviews established knowledge and new hypotheses regarding the molecular genetics of BCC pathogenesis. [ABSTRACT FROM AUTHOR]