Effects of polygenic risk for major mental disorders and cross-disorder on cortical complexity

Background MRI-derived cortical folding measures are an indicator of largely genetically driven early developmental processes. However, the effects of genetic risk for major mental disorders on early brain development are not well understood. Methods We extracted cortical complexity values from structural MRI data of 580 healthy participants using the CAT12 toolbox. Polygenic risk scores (PRS) for schizophrenia, bipolar disorder, major depression, and cross-disorder (incorporating cumulative genetic risk for depression, schizophrenia, bipolar disorder, autism spectrum disorder, and attention-deficit hyperactivity disorder) were computed and used in separate general linear models with cortical complexity as the regressand. In brain regions that showed a significant association between polygenic risk for mental disorders and cortical complexity, volume of interest (VOI)/region of interest (ROI) analyses were conducted to investigate additional changes in their volume and cortical thickness. Results The PRS for depression was associated with cortical complexity in the right orbitofrontal cortex (right hemisphere: p = 0.006). A subsequent VOI/ROI analysis showed no association between polygenic risk for depression and either grey matter volume or cortical thickness. We found no associations between cortical complexity and polygenic risk for either schizophrenia, bipolar disorder or psychiatric cross-disorder when correcting for multiple testing. Conclusions Changes in cortical complexity associated with polygenic risk for depression might facilitate well-established volume changes in orbitofrontal cortices in depression. Despite the absence of psychopathology, changed cortical complexity that parallels polygenic risk for depression might also change reward systems, which are also structurally affected in patients with depressive syndrome

Intervention to Improve Adherence to Lipid-Lowering Medication and Lipid-Levels in Patients With an Increased Cardiovascular Risk

Low levels of statin adherence may compromise treatment outcomes. The aim of this study was to investigate whether nurse-led cardiovascular risk-factor counseling could improve statin adherence and lipid levels without increasing patients' anxiety. Patients with indications for statin therapy for primary or secondary prevention of cardiovascular disease were randomly assigned to receive routine care or extended care (EC) at baseline and at months 3, 9, and 18. Patients in the EC group received a personalized risk-factor passport, showing modifiable and unmodifiable individual risk factors and a graphical presentation of their calculated absolute 10-year cardiovascular disease risk as well as the target risk that could be reached if all modifiable risk factors were optimally treated. Lipid levels were assessed at each visit. Carotid intima-media thickness was measured at baseline and at month 18. Adherence, anxiety, quality of life, symptoms, and smoking status were assessed using a self-administered questionnaire at each visit. A total of 201 patients were included in the study. Statin adherence was significantly higher (p <0.01) and anxiety was significantly lower (p <0.01) in the EC group than in the routine care group. Low-density lipoprotein cholesterol was statistically significantly lower in the EC group than in the routine group (2.66 vs 3.00 mmol/L, respectively, p = 0.024) in primary prevention patients only. Intima-media thickness improved significantly from baseline (p <0.01) in all patients, irrespective of group assignment. In conclusion, cardiovascular risk-factor counseling resulted in improved lipid profiles in primary prevention patients and higher levels of adherence to statins and lower levels of anxiety in all patients. (c) 2012 Elsevier Inc. All rights reserved. (Am J Cardiol 2012;110:666 672

Effects of polygenic risk for major mental disorders and cross-disorder on cortical complexity

Background MRI-derived cortical folding measures are an indicator of largely genetically driven early developmental processes. However, the effects of genetic risk for major mental disorders on early brain development are not well understood. Methods We extracted cortical complexity values from structural MRI data of 580 healthy participants using the CAT12 toolbox. Polygenic risk scores (PRS) for schizophrenia, bipolar disorder, major depression, and cross-disorder (incorporating cumulative genetic risk for depression, schizophrenia, bipolar disorder, autism spectrum disorder, and attention-deficit hyperactivity disorder) were computed and used in separate general linear models with cortical complexity as the regressand. In brain regions that showed a significant association between polygenic risk for mental disorders and cortical complexity, volume of interest (VOI)/region of interest (ROI) analyses were conducted to investigate additional changes in their volume and cortical thickness. Results The PRS for depression was associated with cortical complexity in the right orbitofrontal cortex (right hemisphere: p = 0.006). A subsequent VOI/ROI analysis showed no association between polygenic risk for depression and either grey matter volume or cortical thickness. We found no associations between cortical complexity and polygenic risk for either schizophrenia, bipolar disorder or psychiatric cross-disorder when correcting for multiple testing. Conclusions Changes in cortical complexity associated with polygenic risk for depression might facilitate well-established volume changes in orbitofrontal cortices in depression. Despite the absence of psychopathology, changed cortical complexity that parallels polygenic risk for depression might also change reward systems, which are also structurally affected in patients with depressive syndrome

Oleoresins from Capsicum spp.: Extraction Methods and Bioactivity

Capsicum spp. fruit is one of the most produced vegetables around the world, and it is consumed both as fresh vegetable and as a spice like a food additive for their characteristic red color and, in many cases, its pungency. In addition to its economic importance, the bioactivity of some important compounds such as capsaicinoids and carotenoids has promoted its research. The use of Capsicum oleoresins has been increased due to its advantages comparing with the traditional dry spice. These include obtaining higher quality products with the desired content of bioactive and flavored substances. The wide diversity of extraction methods including water extraction, organic solvent extraction, microwave-assisted extraction, and ultrasound assisted extraction as well as supercritical fluid extraction among others are discussed in the present review. Moreover, pretreatments such as chemical treatments, osmotic dehydration, sun and oven drying, and freeze-drying commonly used before the extraction are also presented. Due to its importance, Capsicum oleoresins produced with “green” solvents and the improvement of fractional extraction techniques that allow to obtain separately the various bioactive fractions will continue under research for further development