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Full-Text Articles in Medicine and Health Sciences
Beneficial Effects Of Increased Lysozyme Levels In Alzheimer's Disease Modelled In Drosophila Melanogaster, Linnea Sandin, Liza Bergkvist, Sangeeta Nath, Claudia Kielkopf, Camilla Janefjord, Linda Helmfors, Henrik Zetterberg, Kaj Blennow, Hongyun Li, Camilla Nilsberth, Brett Garner, Ann-Christin Brorsson, Katarina Kagedal
Beneficial Effects Of Increased Lysozyme Levels In Alzheimer's Disease Modelled In Drosophila Melanogaster, Linnea Sandin, Liza Bergkvist, Sangeeta Nath, Claudia Kielkopf, Camilla Janefjord, Linda Helmfors, Henrik Zetterberg, Kaj Blennow, Hongyun Li, Camilla Nilsberth, Brett Garner, Ann-Christin Brorsson, Katarina Kagedal
Illawarra Health and Medical Research Institute
Genetic polymorphisms of immune genes that associate with higher risk to develop Alzheimer's disease (AD) have led to an increased research interest on the involvement of the immune system in AD pathogenesis. A link between amyloid pathology and immune gene expression was suggested in a genome-wide gene expression study of transgenic amyloid mouse models. In this study, the gene expression of lysozyme, a major player in the innate immune system, was found to be increased in a comparable pattern as the amyloid pathology developed in transgenic mouse models of AD. A similar pattern was seen at protein levels of lysozyme …
Identifying Metabolic Syndrome In A Clinical Cohort: Implications For Prevention Of Chronic Disease, Allison Martin, Elizabeth Neale, Marijka Batterham, Linda C. Tapsell
Identifying Metabolic Syndrome In A Clinical Cohort: Implications For Prevention Of Chronic Disease, Allison Martin, Elizabeth Neale, Marijka Batterham, Linda C. Tapsell
Faculty of Science, Medicine and Health - Papers: part A
In the clinical setting, calculating cardiovascular disease (CVD) risk is commonplace but the utility of the harmonised equation for metabolic syndrome (MetS) (Alberti et al., 2009) is less well established. The aims of this study were to apply this equation to an overweight clinical cohort to identify risk factors for being metabolically unhealthy and explore associations with chronic disease. Baseline data were analysed from a lifestyle intervention trial of Illawarra residents recruited in 2014/2015. Participants were aged 25–54 years with a BMI 25–40 kg/m2. Data included MetS, CVD risk, insulin sensitivity, weight, body fat, diet, peripheral artery disease (PAD), physical …