Fat Mass and Obesity-Associated Gene (FTO) in Eating Disorders: Evidence for Association of the rs9939609 Obesity Risk Allele with Bulimia nervosa and Anorexia nervosa

Objective: The common single nucleotide polymorphism (SNP) rs9939609 in the fat mass and obesity-associated gene (FTO) is associated with obesity. As genetic variants associated with weight regulation might also be implicated in the etiology of eating disorders, we evaluated whether SNP rs9939609 is associated with bulimia nervosa (BN) and anorexia nervosa (AN). Methods: Association of rs9939609 with BN and AN was assessed in 689 patients with AN, 477 patients with BN, 984 healthy non-population-based controls, and 3,951 population-based controls (KORA-S4). Based on the familial and premorbid occurrence of obesity in patients with BN, we hypothesized an association of the obesity risk A-allele with BN. Results: In accordance with our hypothesis, we observed evidence for association of the rs9939609 A-allele with BN when compared to the non-population-based controls (unadjusted odds ratio (OR) = 1.142, one-sided 95% confidence interval (CI) 1.001-infinity; one-sided p = 0.049) and a trend in the population-based controls (OR = 1.124, one-sided 95% CI 0.932-infinity; one-sided p = 0.056). Interestingly, compared to both control groups, we further detected a nominal association of the rs9939609 A-allele to AN (OR = 1.181, 95% CI 1.027-1.359, two-sided p = 0.020 or OR = 1.673, 95% CI 1.101-2.541, two-sided p = 0.015,). Conclusion: Our data suggest that the obesity-predisposing FTO allele might be relevant in both AN and BN. Copyright (C) 2012 S. Karger GmbH, Freibur

Analysis of shared heritability in common disorders of the brain

ience, this issue p. eaap8757 Structured Abstract INTRODUCTION Brain disorders may exhibit shared symptoms and substantial epidemiological comorbidity, inciting debate about their etiologic overlap. However, detailed study of phenotypes with different ages of onset, severity, and presentation poses a considerable challenge. Recently developed heritability methods allow us to accurately measure correlation of genome-wide common variant risk between two phenotypes from pools of different individuals and assess how connected they, or at least their genetic risks, are on the genomic level. We used genome-wide association data for 265,218 patients and 784,643 control participants, as well as 17 phenotypes from a total of 1,191,588 individuals, to quantify the degree of overlap for genetic risk factors of 25 common brain disorders. RATIONALE Over the past century, the classification of brain disorders has evolved to reflect the medical and scientific communities' assessments of the presumed root causes of clinical phenomena such as behavioral change, loss of motor function, or alterations of consciousness. Directly observable phenomena (such as the presence of emboli, protein tangles, or unusual electrical activity patterns) generally define and separate neurological disorders from psychiatric disorders. Understanding the genetic underpinnings and categorical distinctions for brain disorders and related phenotypes may inform the search for their biological mechanisms. RESULTS Common variant risk for psychiatric disorders was shown to correlate significantly, especially among attention deficit hyperactivity disorder (ADHD), bipolar disorder, major depressive disorder (MDD), and schizophrenia. By contrast, neurological disorders appear more distinct from one another and from the psychiatric disorders, except for migraine, which was significantly correlated to ADHD, MDD, and Tourette syndrome. We demonstrate that, in the general population, the personality trait neuroticism is significantly correlated with almost every psychiatric disorder and migraine. We also identify significant genetic sharing between disorders and early life cognitive measures (e.g., years of education and college attainment) in the general population, demonstrating positive correlation with several psychiatric disorders (e.g., anorexia nervosa and bipolar disorder) and negative correlation with several neurological phenotypes (e.g., Alzheimer's disease and ischemic stroke), even though the latter are considered to result from specific processes that occur later in life. Extensive simulations were also performed to inform how statistical power, diagnostic misclassification, and phenotypic heterogeneity influence genetic correlations. CONCLUSION The high degree of genetic correlation among many of the psychiatric disorders adds further evidence that their current clinical boundaries do not reflect distinct underlying pathogenic processes, at least on the genetic level. This suggests a deeply interconnected nature for psychiatric disorders, in contrast to neurological disorders, and underscores the need to refine psychiatric diagnostics. Genetically informed analyses may provide important "scaffolding" to support such restructuring of psychiatric nosology, which likely requires incorporating many levels of information. By contrast, we find limited evidence for widespread common genetic risk sharing among neurological disorders or across neurological and psychiatric disorders. We show that both psychiatric and neurological disorders have robust correlations with cognitive and personality measures. Further study is needed to evaluate whether overlapping genetic contributions to psychiatric pathology may influence treatment choices. Ultimately, such developments may pave the way toward reduced heterogeneity and improved diagnosis and treatment of psychiatric disorders

Evidence confirms an anthropic origin of Amazonian Dark Earths.

Arising from: Silva et al. Nature Communications https://doi.org/10.1038/s41467-020-20184-2 (2021

Solution and solid state properties of Fe(III) complexes bearing N-ethyl-N-(2-aminoethyl)salicylaldiminate ligands

The effect of the phenolate ring derivatisation on the magnetic properties of Fe(III) complexes bearing Nethyl- N-(2-aminoethyl) salicylaldiminate ligands both in solid state and solution have been investigated. Two new complexes [Fe(3,5-Br-salEen)(2)]ClO4 center dot EtOH (5) and [Fe(3,5-Br-salEen)(2)]BPh4 center dot DMF (6) have been synthesised. SQUID magnetometry studies on these complexes showed that while complex 5 is in the low-spin (LS) state, complex 6 displays a gradual and incomplete spin crossover (SCO) transition over the temperature measured. Solution measurements on a series of six complexes e [Fe(salEen)2]ClO4 (1), [Fe(salEen)(2)]BPh4 center dot 0.5H(2)O (2), [Fe(5-Br-salEen)(2)]ClO4 (3), [Fe(5-Br-salEen)(2)]BPh4 center dot DMF (4), [Fe(3,5-Br-salEen)(2)]ClO4 center dot EtOH (5) and [Fe(3,5-Br-salEen)(2)]BPh4 center dot DMF (6) - were performed by UVevis and NMR spectroscopies and cyclic voltammetry. Solution studies show that the presence of electron withdrawing groups (bromine atoms) affect the electronic density at the phenolate ring, thus influencing the ligand field strength and the separation between the t(2g) and e(g)* energy levels. The presence of two bromide substituents at the phenolate ring has a more pronounced effect on the magnetic behaviour in solution than in the solid state, with both complexes 5 and 6 adopting preferentially the LS state. Electrochemical studies of complexes 1-6 reveal that the reduction of the metallic centres in the complexes with electron withdrawing groups is easier, with E-1/2 values of iron moving to more positive potentials with the number of bromide substituents at the phenolate ring. (C) 2013 Elsevier B. V. All rights reserved

Asthmatics and ex-smokers respond early, heavy smokers respond late to mailed surveys in Italy

Response to mailed epidemiological surveys has decreased in recent decades. Since subjects with respiratory symptoms are usually early responders to surveys performed in Southern Europe, this trend could bias prevalence estimates. The present study aimed at evaluating the impact of non-response bias on prevalence estimates of respiratory symptoms and smoking habits. METHODS: In 9 centres, participating in the Italian Study on Asthma in Young Adults (ISAYA), random samples of people aged 20-45 years were administered a mailed questionnaire between 1998 and 2000. Non-responders were contacted again first by mail and then by phone. Cumulative response percentage was 30.5%, 52.4% and 72.7% (18,873/25,969), respectively, after the 1st, 2nd and 3rd contact. RESULTS: The prevalence of self-reported current asthma, asthma-like symptoms, and chronic cough/phlegm was more than halved from the first contact (5.6%, 17.8%, 14.6% respectively) to the third contact (2.7%, 6.4%, 6.9%). This pattern was less pronounced when considering allergic rhinitis and past asthma, whose prevalence decreased, respectively, from 21.5% to 15.6% and from 3.5% to 2.6%. At the same time the proportion of current smokers increased from 29.2% to 38%, while the proportion of ex-smokers decreased from 16.5% to 10.1%. In a multinomial logistic model current asthma, asthma-like symptoms, chronic cough/phlegm and smoking habits, and to a lower extent past asthma and allergic rhinitis, were significant predictors of late response. CONCLUSIONS: In Italy when response percentage is low, the prevalence of current asthma, chronic cough/phlegm and ex-smokers is overestimated, while the proportion of current smokers is underestimated