Comorbid problems in ADHD: degree of association, shared endophenotypes, and formation of distinct subtypes: Implications for a future DSM

We aimed to assess which comorbid problems (oppositional defiant behaviors, anxiety, autistic traits, motor coordination problems, and reading problems) were most associated with Attention-Deficit/Hyperactivity Disorder (ADHD); to determine whether these comorbid problems shared executive and motor problems on an endophenotype level with ADHD; and to determine whether executive functioning (EF)-and motor-endophenotypes supported the hypothesis that ADHD with comorbid problems is a qualitatively different phenotype than ADHD without comorbid problems. An EF-and a motor-endophenotype were formed based on nine neuropsychological tasks administered to 816 children from ADHD-and control-families. Additional data on comorbid problems were gathered using questionnaires. Results indicated that oppositional defiant behaviors appeared the most important comorbid problems of ADHD, followed by autistic traits, and than followed by motor coordination problems, anxiety, and reading problems. Both the EF-and motor-endophenotype were correlated and cross-correlated in siblings to autistic traits, motor coordination problems and reading problems, suggesting ADHD and these comorbid problems may possibly share familial/genetic EF and motor deficits. No such results were found for oppositional defiant behaviors and anxiety. ADHD in co-occurrence with comorbid problems may not be best seen as a distinct subtype of ADHD, but further research is warranted

Pharmacotherapy of disruptive behavior and item changes on a standardized rating scale: pooled analysis of risperidone effects in children with subaverage IQ.

Contains fulltext : 49128.pdf (publisher's version ) (Open Access)BACKGROUND: Disruptive behavior disorders (DBDs), excluding attention deficit/hyperactivity disorder (ADHD), are characterized by a repetitive pattern of antisocial, aggressive, and defiant behavior involving major violations of age-appropriate norms, resulting in significant functional impairment. Risperidone is licensed for the treatment of DBDs in children, adolescents, and adults in several countries. The aim of this study was to determine the effect of risperidone in a clinical setting on the symptom items of the Nisonger Child Behavior Rating Form (N-CBRF), used for the assessment of DBD patients. METHOD: Data from two 6-week, randomized, double-blind, placebo-controlled trials of risperidone oral solution (0.02-0.06 mg/kg/day) in children with DBDs and subaverage IQ (mild, moderate mental retardation and borderline IQ) were pooled for analysis. RESULTS: Risperidone produced improvement in both the Social Competence and the Problem Behavior N-CBRF subscales. Risperidone reduced symptoms in the Problem Behavior subscales (e.g., Conduct Problem, Insecure/Anxious) but also improved positive behaviors on the Social Competence subscales. Unlike most problem-behavior items, certain items reflecting "Affective insecurity" (e.g., shy, timid; clings to adults; crying, tearful episodes) failed to improve. This was also true of social disinterest and certain rituals. No items showed any worsening of symptoms with active medication. CONCLUSION: Whereas most categories of problem behavior improved with risperidone, items reflecting "affective insecurity" and some infrequently endorsed items were unaffected in these children with DBDs and subaverage IQ. These data may provide a more refined knowledge of risperidone's therapeutic effects in such children

Spectrums of Love: Examining the Relationship between Romantic Motivations and Secual Risk among Young Gay and Bisexual Men

We examined the association between HIV/AIDS risk behaviors and romantic feelings among single, young gay and bisexual men (YGBM). Romantic feelings may have positive (romantic ideation) and negative (romantic obsession) connotations. Consequently, we hypothesized that YGBM would report greater risks if they reported having obsessive thoughts about their relationship desires; conversely, we hypothesized that YGBM who envision a romantic relationship would report fewer unprotected partners. Using cross-sectional data from a study examining YGBM's online dating experiences (N = 376; ages 18-24), we found a positive association between romantic obsession and number of partners for unprotected receptive (URAI) and insertive (UIAI) anal intercourse. Conversely, we found a negative association between romantic ideation and number of partners for URAI and UIAI. Is love risky or protective? Our results indicate support for both perspectives. We discuss the implications of our findings, highlighting the importance of addressing romantic pursuits into existing HIV prevention interventions for YGBM.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/91277/1/Bauermeister_AIBE_ROS.pd

NPOmix: A machine learning classifier to connect mass spectrometry fragmentation data to biosynthetic gene clusters

Microbial specialized metabolites are an important source of and inspiration for many pharmaceuticals, biotechnological products and play key roles in ecological processes. Untargeted metabolomics using liquid chromatography coupled with tandem mass spectrometry is an efficient technique to access metabolites from fractions and even environmental crude extracts. Nevertheless, metabolomics is limited in predicting structures or bioactivities for cryptic metabolites. Efficiently linking the biosynthetic potential inferred from (meta)genomics to the specialized metabolome would accelerate drug discovery programs by allowing metabolomics to make use of genetic predictions. Here, we present a k-nearest neighbor classifier to systematically connect mass spectrometry fragmentation spectra to their corresponding biosynthetic gene clusters (independent of their chemical class). Our new pattern-based genome mining pipeline links biosynthetic genes to metabolites that they encode for, as detected via mass spectrometry from bacterial cultures or environmental microbiomes. Using paired datasets that include validated genes-mass spectral links from the Paired Omics Data Platform, we demonstrate this approach by automatically linking 18 previously known mass spectra (17 for which the biosynthesis gene clusters can be found at the MIBiG database plus palmyramide A) to their corresponding previously experimentally validated biosynthetic genes (e.g., via nuclear magnetic resonance or genetic engineering). We illustrated a computational example of how to use our Natural Products Mixed Omics (NPOmix) tool for siderophore mining that can be reproduced by the users. We conclude that NPOmix minimizes the need for culturing (it worked well on microbiomes) and facilitates specialized metabolite prioritization based on integrative omics mining