0000000001249730
AUTHOR
Laura Piccio
showing 5 related works from this author
Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis.
2011
Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk. Modestly powered genome-wide association studies (GWAS) have ena…
Adherence to a healthy lifestyle and multiple sclerosis: a case–control study from the UK Biobank
2020
Background: Multiple sclerosis (MS) is a common and disabling condition. The importance of healthy lifestyle for this disease is poorly explored. Objective: To test whether adherence to healthier lifestyle patterns is associated with a lower presence of multiple sclerosis (MS). Methods: By using a case–control design, we investigated the combined association of four healthy lifestyle-related factors (no current smoking, healthy diet, exercising regularly, body mass index <30 kg/m2) and the prevalence of MS. A logistic regression analysis, adjusted for potential confounders, was used and data reported as odds ratios (ORs) with their 95% confidence intervals (CIs). Results: 728 participant…
Low frequency and rare coding variation contributes to multiple sclerosis risk
2018
AbstractMultiple sclerosis is a common, complex neurological disease, where almost 20% of risk heritability can be attributed to common genetic variants, including >230 identified by genome-wide association studies (Patsopoulos et al., 2017). Multiple strands of evidence suggest that the majority of the remaining heritability is also due to the additive effects of individual variants, rather than epistatic interactions between these variants, or mutations exclusive to individual families. Here, we show in 68,379 cases and controls that as much as 5% of this heritability is explained by low-frequency variation in gene coding sequence. We identify four novel genes driving MS risk independe…
The Multiple Sclerosis Genomic Map: Role of peripheral immune cells and resident microglia in susceptibility
2017
Abstract:We assembled and analyzed genetic data of 47,351 multiple sclerosis (MS) subjects and 68,284 control subjects and establish a reference map of the genetic architecture of MS that includes 200 autosomal susceptibility variants outside the major histocompatibility complex (MHC), one chromosome X variant, and 32 independent associations within the extended MHC. We used an ensemble of methods to prioritize up to 551 potentially associated MS susceptibility genes, that implicate multiple innate and adaptive pathways distributed across the cellular components of the immune system. Using expression profiles from purified human microglia, we do find enrichment for MS genes in these brain -…
Calorie restriction causes multiple beneficial metabolic adaptations linearly related with the degree of weight loss in non-obese individuals: Result…
2022
BACKGROUND & AIMS: Understanding the temporal association and relative power of anthropometric, body composition and energy metabolism measurements of calorie restriction (CR) in predicting metabolic and hormonal adaptations is important, given the clinical and public health implications of excess weight and adiposity. METHODS: Anthropometric (body weight, BMI, waist circumference), body composition (body fat and lean mass by DXA), energy metabolism (leptin and total daily energy intake by doubly labelled water [DLW]) markers and an extensive assessment of cardiometabolic, inflammatory and hormonal risk factors were obtained in 191, 21–50 year old non-obese (BMI 22·0–27·9 kg/m2) women a…