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Atlas Will Reveal When and Where Genes Turn On in the Brain PDF Print E-mail
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ARRA funds Underwrite Collaborative Web “Transcriptome” Resource helix

When and where in the brain a gene turns on holds clues to its possible role in disease. For example, a recent study found that forms of a gene associated with schizophrenia are over-expressed in the fetal brain, adding to evidence implicating this critical developmental period.

To make such discoveries about what is abnormal, scientists first need to know what the normal patterns of gene expression are during development. To this end, the National Institute of Mental Health (NIMH), part of the National Institutes of Health, is expediting creation of a Transcriptional Atlas of Human Brain Development. The framework of the transcriptional atlas will be completed by the Fall of 2011, with funding under the American Recovery and Reinvestment Act of 2009 (ARRA), but will continue to grow as additional data are collected. This resource will be available via the web as early as the Fall of 2010.

"We know relatively little about how specific risk genes for mental disorders affect brain development or which risk gene variants influence gene expression across development," explained NIMH Director Thomas R. Insel, M.D. "We need to find out which genes are expressed in particular brain regions at specific time points."

To map this human brain "transcriptome," researchers will identify the composition of intermediate products, called transcripts or messenger RNAs, that translate genes into proteins throughout development. ARRA grants totaling $35 million were awarded in late September to a Consortium of researchers at the University of Southern California (USC), Yale University and the Allen Institute for Brain Science.

Researchers at Yale and USC will read out the genetic letter sequences of transcripts in 16 brain regions at 11 key developmental stages from over 900 samples. The Allen Institute will provide more detailed analysis at the cellular level in a subset of samples. NIMH Intramural Research Program researchers will provide the majority of brain tissue samples.

"We hope to begin to understand how differences in gene expression in distinct brain regions contribute to development of the human brain," explained Michelle Freund, Ph.D., of NIMH's Division of Neuroscience and Basic Behavioral Science, who is coordinating the effort. "We will be able to chart the onset of alternative forms of transcripts and patterns of gene expression in particular brain regions. For example, we'll be able to say 'This particular form of this gene turns on in the hippocampus at 9 weeks.' This continuously updated resource will be invaluable for researchers."

The 11 developmental stages range from 4-7 weeks of embryonic development to mid-adulthood. Fewer brain regions will be assessed at the earliest stages, as some regions cannot be reliably dissected until later in fetal development.

Researchers at the Allen Institute will integrate the Yale and USC findings with high resolution reference images and detailed cellular information into an online multi-modal resource that the research community can query - similar to the Institute's Developing Mouse Brain Atlas and Human Brain Atlas.

"For example, a researcher doing mouse behavioral studies could consult the new human atlas to see where and when a particular gene of interest is expressed in human brain development," said Freund.

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Psychiatric Symptoms May Predict Internet Addiction In Adolescents PDF Print E-mail
Written by Science News   

Adolescents with psychiatric symptoms such as attention-deficit/hyperactivity disorder (ADHD), social phobia, hostility and depression may be more likely to develop an Internet addiction, according to a report in the October issue of Archives of Pediatrics & Adolescent Medicine, one of the JAMA/Archives journals.Although the Internet has become one of the most significant information resources for adolescents, addiction to the Internet can negatively impact school performance, family relationships and adolescents' emotional state, according to background information in the article. "This phenomenon has been described as Internet addiction or problematic Internet use and classified as a possible behavior addiction," the authors write. Previous studies report that 1.4 percent to 17.9 percent of adolescents are addicted to the Internet in both Western and Eastern societies; therefore, there have been suggestions to add Internet and gaming addictions to the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders. "Identification of the risk factors for Internet addiction is therefore of clinical significance for the prevention of, and early intervention into, Internet addiction in adolescents."

Chih-Hung Ko, M.D., of Kaohsiung Medical University Hospital and Kaohsiung Medical University, Kaohsiung City, Taiwan, and colleagues examined the relationship between psychiatric symptoms such as ADHD, social phobia and hostility and Internet addiction in 2,293 seventh-graders (1,179 boys and 1,114 girls) from ten junior high schools in southern Taiwan. Researchers also noted differences in the predictive value of these psychiatric symptoms between males and females. Psychiatric symptoms were determined through self-reported questionnaires. Internet addiction was assessed by the Chen Internet Addiction Scale (CIAS) at baseline and at six, 12 and 24 months with scores ranging from 26 to 104. Participants scoring 64 or higher were classified as being addicted to the Internet.

Of all participants, 233 (10.8 percent) were classified as having Internet addiction and 1,929 (89.2 percent) were classified as not having an Internet addiction. The researchers report that although depression, ADHD, social phobia and hostility were found to predict the occurrence of Internet addiction in the two-year follow-up, depression and social phobia predicted Internet addiction among only female adolescents. Additionally, the most significant predictors of Internet addiction in male and female adolescents were hostility and ADHD, respectively.

"These results suggest that ADHD, hostility, depression and social phobia should be detected early on and intervention carried out to prevent Internet addiction in adolescents," the authors conclude. "Also, sex differences in psychiatric comorbidity should be taken into consideration when developing prevention and intervention strategies for Internet addiction."

Editorial: Internet Addiction May Be a 21st-Century Epidemic

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