Stephen V. Faraone

Bio: Stephen V. Faraone is an academic researcher from State University of New York Upstate Medical University. The author has contributed to research in topics: Attention deficit hyperactivity disorder & Bipolar disorder. The author has an hindex of 188, co-authored 1427 publications receiving 140298 citations. Previous affiliations of Stephen V. Faraone include University of Bergen & National Institute for Health Research.

Validity of DSM-IV Subtypes of Attention-Deficit/Hyperactivity Disorder: A Family Study Perspective

Abstract: Objective To test the hypothesis that the clinical severity of subtypes paralleled a gradient of familial severity. Method One hundred forty children with attention-deficit/hyperactivity disorder (ADHD) and 120 normal control children and their biological relatives were studied. Because these data had been collected prior to the publication of DSM-IV, DSM-III-R symptoms were used to approximate DSM-IV subtypes using a method the authors had validated in prior work. Results The first prediction from the hypothesis was true: rates of ADHD among relatives of each subtype group were greater than rates among relatives of controls. But the second prediction did not hold: rates of ADHD were not significantly higher among relatives of combined-typed probands compared with relatives of other probands. The "gradient model" also predicted that subtypes would not "breed true" (i.e., the subtype of the relative would not be the same as that of the proband). The prediction of non-specificity was refuted for the inattentive and combined subtypes, but hyperactive-impulsive ADHD was found almost exclusively among relatives of hyperactive-impulsive probands. Conclusions Although the results are limited by some small subsamples along with the use of a DSM-III-R -ascertained sample, they provide little evidence for the idea that DSM-IV subtypes of ADHD correspond to familially distinct conditions. They also do not confirm the idea that the subtypes fall along a gradient of familial severity. Instead, they suggest that symptom differences among subtypes are due to nonfamilial, environmental causes.

Associations Between ADHD and Psychoactive Substance use Disorders: Findings from a Longitudinal Study of High-Risk Siblings of ADHD Children

Abstract: This article investigates the relationship between attention-deficit/hyperactivity disorder (ADHD) and psychoactive substance use disorders (PSUD) in siblings of ADHD and normal-control probands and addresses issues of psychiatric comorbidity and gender Using DSM-III-R structured diagnostic interviews and blind raters, the authors conducted a 4–year follow-up of siblings. ADHD and male gender predicted higher rates and an earlier onset of PSUD after adjusting for high-risk status, other psychiatric disorders, and age. Risk was particularly high if the siblings bad ADHD plus conduct disorder This study's findings confirms the authors' prior report highlighting the importance of drug and alcohol prevention and cessation programs aimed at ADHD youth and their siblings, particularly those with comorbid conduct disorder. (Am J Addict 1997; 6:318–329)

Mechanistic Target of Rapamycin Activation Triggers IL-4 Production and Necrotic Death of Double-Negative T Cells in Patients with Systemic Lupus Erythematosus

Abstract: The mechanistic target of rapamycin (mTOR) is recognized as a sensor of mitochondrial dysfunction and effector of T cell lineage development; however, its role in autoimmunity, including systemic lupus erythematosus, remains unclear. In this study, we prospectively evaluated mitochondrial dysfunction and mTOR activation in PBLs relative to the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) during 274 visits of 59 patients and 54 matched healthy subjects. Partial least square–discriminant analysis identified 15 of 212 parameters that accounted for 70.2% of the total variance and discriminated lupus and control samples (p < 0.0005); increased mitochondrial mass of CD3+/CD4−/CD8− double-negative (DN) T cells (p = 1.1 × 10−22) and FOXP3 depletion in CD4+/CD25+ T cells were top contributors (p = 6.7 × 10−7). Prominent necrosis and mTOR activation were noted in DN T cells during 15 visits characterized by flares (SLEDAI increase ≥ 4) relative to 61 visits of remission (SLEDAI decrease ≥ 4). mTOR activation in DN T cells was also noted at preflare visits of SLE patients relative to those with stable disease or healthy controls. DN lupus T cells showed increased production of IL-4, which correlated with depletion of CD25+/CD19+ B cells. Rapamycin treatment in vivo blocked the IL-4 production and necrosis of DN T cells, increased the expression of FOXP3 in CD25+/CD4+ T cells, and expanded CD25+/CD19+ B cells. These results identify mTOR activation to be a trigger of IL-4 production and necrotic death of DN T cells in patients with SLE.

Gender and schizophrenia: Implications for understanding the heterogeneity of the illness

Abstract: This study begins to test the hypothesis that schizophrenic men and women may be at risk for experiencing different subtypes of the illnes. Given past research, hypotheses predict that schizophrenic men will have an earlier age of onset, poorer premorbid history, lower family morbid risk, and poorer course. Data consist of 332 schizophrenic patients diagnosed according to DSM-III and 713 of their first-degree relatives from the double-blind Iowa 500 and non-500 family studies. Survival analysis was used to estimate age of onset, and Stromgren's abridged method for age correction was used to estimate family morbidity risks. Findings support our hypotheses and suggest that men may be at risk for experiencing a more severe form of schizophrenia.

Is Attention-Deficit Hyperactivity Disorder in Adults a Valid Disorder?

Abstract: Concerns have been raised regarding the validity of the diagnosis of attention-deficit hyperactivity disorder in adults. The purpose of this report is to evaluate critically whether this diagnosis in adults meets acceptable standards for diagnostic validity. A systematic search was conducted of the psychiatric and psychological literature for empirical studies dealing with adult attention-deficit hyperactivity disorder with childhood onset. These studies were examined for evidence of descriptive, predictive, and concurrent validity. The literature shows that this disorder can be reliably diagnosed in adults and that the diagnosis confers considerable power to forecast complications and treatment response. In addition, evidence is mounting for genetic transmission, specific treatment responses, and abnormalities in brain structure and function in affected individuals. Evidence from the literature is increasingly pointing to the validity of adult attention-deficit hyperactivity disorder.

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

Using Multivariate Statistics

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Human biochemical genetics

Abstract: So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Abstract: There is increasing evidence that genome-wide association ( GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study ( using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined similar to 2,000 individuals for each of 7 major diseases and a shared set of similar to 3,000 controls. Case-control comparisons identified 24 independent association signals at P < 5 X 10(-7): 1 in bipolar disorder, 1 in coronary artery disease, 9 in Crohn's disease, 3 in rheumatoid arthritis, 7 in type 1 diabetes and 3 in type 2 diabetes. On the basis of prior findings and replication studies thus-far completed, almost all of these signals reflect genuine susceptibility effects. We observed association at many previously identified loci, and found compelling evidence that some loci confer risk for more than one of the diseases studied. Across all diseases, we identified a large number of further signals ( including 58 loci with single-point P values between 10(-5) and 5 X 10(-7)) likely to yield additional susceptibility loci. The importance of appropriately large samples was confirmed by the modest effect sizes observed at most loci identified. This study thus represents a thorough validation of the GWA approach. It has also demonstrated that careful use of a shared control group represents a safe and effective approach to GWA analyses of multiple disease phenotypes; has generated a genome-wide genotype database for future studies of common diseases in the British population; and shown that, provided individuals with non-European ancestry are excluded, the extent of population stratification in the British population is generally modest. Our findings offer new avenues for exploring the pathophysiology of these important disorders. We anticipate that our data, results and software, which will be widely available to other investigators, will provide a powerful resource for human genetics research.