13 research outputs found

    Decoupling for ecological sustainability : A categorisation and review of research literature

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    The idea of decoupling "environmental bads" from "economic goods" has been proposed as a path towards sustainability by organizations such as the OECD and UN. Scientific consensus reports on environmental impacts (e.g., greenhouse gas emissions) and resource use give an indication of the kind of decoupling needed for ecological sustainability: global, absolute, fast-enough and long-enough. This goal gives grounds for a categorisation of the different kinds of decoupling, with regard to their relevance. We conducted a survey of recent (1990-2019) research on decoupling on Web of Science and reviewed the results in the research according to the categorisation. The reviewed 179 articles contain evidence of absolute impact decoupling, especially between CO2 (and SOX) emissions and evidence on geographically limited (national level) cases of absolute decoupling of land and blue water use from GDP, but not of economy-wide resource decoupling, neither on national nor international scales. Evidence of the needed absolute global fast-enough decoupling is missing.Peer reviewe

    Genetic architecture of human plasma lipidome and its link to cardiovascular disease

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    Understanding genetic architecture of plasma lipidome could provide better insights into lipid metabolism and its link to cardiovascular diseases (CVDs). Here, we perform genome-wide association analyses of 141 lipid species (n = 2,181 individuals), followed by phenome-wide scans with 25 CVD related phenotypes (n = 511,700 individuals). We identify 35 lipid-species-associated loci (P <5 x10(-8)), 10 of which associate with CVD risk including five new loci-COL5A1, GLTPD2, SPTLC3, MBOAT7 and GALNT16 (false discovery rate<0.05). We identify loci for lipid species that are shown to predict CVD e.g., SPTLC3 for CER(d18:1/24:1). We show that lipoprotein lipase (LPL) may more efficiently hydrolyze medium length triacylglycerides (TAGs) than others. Polyunsaturated lipids have highest heritability and genetic correlations, suggesting considerable genetic regulation at fatty acids levels. We find low genetic correlations between traditional lipids and lipid species. Our results show that lipidomic profiles capture information beyond traditional lipids and identify genetic variants modifying lipid levels and risk of CVD

    Oral candidosis – clinical challenges of a biofilm disease

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    This review summarizes the impact of biofilms in oral candidosis with special emphasis on medically compromised patients. The concept of oral candidosis as a mixed candidal-bacterial biofilm infection has changed our understanding of its epidemiology and diagnosis as well as approach to its treatment. Candida albicans is the most common causative agent of oral candidosis although Candida species other than C. albicans are often seen in medically compromised patients with a history of multiple courses of azole antifungals. Although C. albicans is usually susceptible to all commonly used antifungals when tested in vitro, their biofilm form are highly resistant to most antifungals. Therefore, treatment consists of mechanical destruction of the biofilm in combination with topical drugs. Azole antifungals should be avoided for patients suffering from recurrent oral yeast infections due to a risk of selection and enrichment of resistant strains within the biofilm. Oral candidosis can also be a symptom of an undiagnosed or poorly controlled systemic disease such as HIV infection or diabetes. If the response to appropriate treatment is poor, other causes of oral mucositis should be excluded. Oral candidosis arises from the patient's mixed candidal-bacterial biofilm, i.e., dental plaque, whereby good self-care is important for successful therapy

    Genetic architecture of human plasma lipidome and its link to cardiovascular disease

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    Understanding genetic architecture of plasma lipidome could provide better insights into lipid metabolism and its link to cardiovascular diseases (CVDs). Here, we perform genome-wide association analyses of 141 lipid species (n = 2,181 individuals), followed by phenome-wide scans with 25 CVD related phenotypes (n = 511,700 individuals). We identify 35 lipid-species-associated loci (P <5 ×10-8), 10 of which associate with CVD risk including five new loci-COL5A1, GLTPD2, SPTLC3, MBOAT7 and GALNT16 (false discovery rate<0.05). We identify loci for lipid species that are shown to predict CVD e.g., SPTLC3 for CER(d18:1/24:1). We show that lipoprotein lipase (LPL) may more efficiently hydrolyze medium length triacylglycerides (TAGs) than others. Polyunsaturated lipids have highest heritability and genetic correlations, suggesting considerable genetic regulation at fatty acids levels. We find low genetic correlations between traditional lipids and lipid species. Our results show that lipidomic profiles capture information beyond traditional lipids and identify genetic variants modifying lipid levels and risk of CVD

    Yeast Biofilms

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    Yeast biofilms are an escalating clinical problem, which affect both the healthy and immunocompromised, and are related to significant rates of mortality within hospitalized patients. Candida albicans is the most notorious yeast biofilm former and as a result the most widely studied; however, other Candida species and yeasts such as Cryptococcus neoformans are also implicated in biofilm-associated infections. Yeast biofilms have distinct developmental phases, including adhesion, colonization, maturation and dispersal, which have been examined utilizing various in vitro and in vivo model systems. Furthermore, the complex molecular events governing biofilm development are slowly being elucidated, including the role of quorum sensing. Clinically, biofilms act as reservoirs for systemic infection, and also induce localized pathology and tissue damage. However, the key virulence factor is their recalcitrance to antifungal therapy. This chapter will discuss our current understanding of the role that yeast biofilms play in the clinical setting

    Genetic architecture of human plasma lipidome and its link to cardiovascular disease

    No full text
    Abstract Understanding genetic architecture of plasma lipidome could provide better insights into lipid metabolism and its link to cardiovascular diseases (CVDs). Here, we perform genome-wide association analyses of 141 lipid species (n = 2,181 individuals), followed by phenome-wide scans with 25 CVD related phenotypes (n = 511,700 individuals). We identify 35 lipid-species-associated loci (P &lt;5 ×10−8), 10 of which associate with CVD risk including five new loci-COL5A1, GLTPD2, SPTLC3, MBOAT7 and GALNT16 (false discovery rate&lt;0.05). We identify loci for lipid species that are shown to predict CVD e.g., SPTLC3 for CER(d18:1/24:1). We show that lipoprotein lipase (LPL) may more efficiently hydrolyze medium length triacylglycerides (TAGs) than others. Polyunsaturated lipids have highest heritability and genetic correlations, suggesting considerable genetic regulation at fatty acids levels. We find low genetic correlations between traditional lipids and lipid species. Our results show that lipidomic profiles capture information beyond traditional lipids and identify genetic variants modifying lipid levels and risk of CVD
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