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Institution

Virginia Commonwealth University

EducationRichmond, Virginia, United States
About: Virginia Commonwealth University is a education organization based out in Richmond, Virginia, United States. It is known for research contribution in the topics: Population & Health care. The organization has 23822 authors who have published 49587 publications receiving 1787046 citations. The organization is also known as: VCU.


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Journal ArticleDOI
TL;DR: Recent findings that have established the effects of inhaled air pollutants in the brain, explore the potential mechanisms driving these phenomena, and discuss the recommended research priorities/approaches that were identified by the panel.
Abstract: Accumulating evidence suggests that outdoor air pollution may have a significant impact on central nervous system (CNS) health and disease. To address this issue, the National Institute of Environmental Health Sciences/National Institute of Health convened a panel of research scientists that was assigned the task of identifying research gaps and priority goals essential for advancing this growing field and addressing an emerging human health concern. Here, we review recent findings that have established the effects of inhaled air pollutants in the brain, explore the potential mechanisms driving these phenomena, and discuss the recommended research priorities/approaches that were identified by the panel.

434 citations

Journal ArticleDOI
TL;DR: The results with these Sphk1 null mice reveal that some key physiologic processes that require S1P receptor signaling, such as vascular development and proper lymphocyte distribution, can occur in the absence of SPHK1.

434 citations

Journal ArticleDOI
TL;DR: The largest genome-wide association study to date of DSM-IV-diagnosed AD found loci associated with AD and characterized the relationship between AD and other psychiatric and behavioral outcomes, underscoring the genetic distinction between pathological and nonpathological drinking behaviors.
Abstract: Liability to alcohol dependence (AD) is heritable, but little is known about its complex polygenic architecture or its genetic relationship with other disorders. To discover loci associated with AD and characterize the relationship between AD and other psychiatric and behavioral outcomes, we carried out the largest genome-wide association study to date of DSM-IV-diagnosed AD. Genome-wide data on 14,904 individuals with AD and 37,944 controls from 28 case-control and family-based studies were meta-analyzed, stratified by genetic ancestry (European, n = 46,568; African, n = 6,280). Independent, genome-wide significant effects of different ADH1B variants were identified in European (rs1229984; P = 9.8 × 10-13) and African ancestries (rs2066702; P = 2.2 × 10-9). Significant genetic correlations were observed with 17 phenotypes, including schizophrenia, attention deficit-hyperactivity disorder, depression, and use of cigarettes and cannabis. The genetic underpinnings of AD only partially overlap with those for alcohol consumption, underscoring the genetic distinction between pathological and nonpathological drinking behaviors.

434 citations

Journal ArticleDOI
Sven Cichon1, Nicholas John Craddock2, Mark J. Daly3, Mark J. Daly4, Stephen V. Faraone5, Pablo V. Gejman6, John R. Kelsoe7, Thomas Lehner8, Douglas F. Levinson9, Audra Moran, Pamela Sklar3, Pamela Sklar4, Patrick F. Sullivan10, Richard Anney11, Michael Gill11, Aiden Corvin11, Jan K. Buitelaar12, Barbara Franke12, Josephine Elia13, Hakon Hakonarson13, Lindsey Kent14, J. J. McGough15, Susan L. Smalley16, Roel A. Ophoff16, Eric Mick4, Susan L. Santangelo4, Manuel A. R. Ferreira4, Shaun Purcell4, Douglas M. Ruderfer4, Jordan W. Smoller4, Roy H. Perlis4, Neale Bm4, Jennifer Stone4, Laura Nisenbaum3, Anita Thapar2, Valentina Moskvina2, Peter Holmans2, Michael Conlon O'Donovan2, Michael John Owen2, Richard D. Todd17, Alexandre A. Todorov17, John P. Rice17, Bernie Devlin18, Dan E. Arking19, Aravinda Chakravarti19, James B. Potash19, Ann E. Pulver19, Joseph D. Buxbaum20, Edwin H. Cook21, Leena Peltonen22, Jaana Suvisaari22, Joseph Piven10, Danyu Lin10, Patrick Sullivan10, Guy A. Rouleau23, Phillip Awadalla23, Gerard D. Schellenberg24, Stephen W. Scherer25, James S. Sutcliffe26, Peter Szatmari27, Veronica J. Vieland, Ole A. Andreassen28, Arnoldo Frigessi28, Douglas Blackwood29, Walter J. Muir29, Michael Boehnke30, Margit Burmeister30, Matthew Flickinger30, Weihua Guan30, Jun Li30, Laura J. Scott30, René Breuer, Marcella Rietschel, Thomas G. Schulze, Tiffany A. Greenwood7, Nicholas J. Schork7, Hugh Gurling31, Pierandrea Muglia32, Ruchi Upmanyu32, Federica Tozzi32, Markus M. Noethen1, Thomas F. Wienker1, Michael Steffens1, John I. Nurnberger33, Kenneth S. Kendler34, Brien P. Riley34, Edwin J. C. G. van den Oord34, Dorret I. Boomsma35, Eco J. C. de Geus35, Witte J.G. Hoogendijk35, Brenda W.J.H. Penninx35, A.H.M. Willemsen35, Danielle Posthuma35, William Coryell36, S. P. Hamilton37, Stafam Kloiber, Susanne Lucae, Stephan Ripke, William Lawson38, Cathryn M. Lewis39, P. McGuffin39, Nicholas G. Martin40, Naomi R. Wray40, Patrick J. McGrath41, Myrna M. Weissman41, James Offord42, William A. Scheftner43, Susan L. Slager44, Ayman H. Fanous45, Christina M. Hultman46, Sari Kivikko47, Claudine Laurent, Todd Lencz, Anil K. Malhotra, Bryan J. Mowry48, Elizabeth G. Holliday48, Alan R. Sanders6, Sibylle G. Schwab15, Dieter Wildenaver15, David St Clair49, Frank Dudbridge, Eve H. Pickering42, Jonathan Sebat, Jung-Ying Tzeng50 
TL;DR: GWAS methods have detected a remarkable number of robust genetic associations for dozens of common diseases and traits, leading to new pathophysiological hypotheses, although only small proportions of genetic variance have been explained thus far and therapeutic applications will require substantial further effort.
Abstract: Objective: The authors conducted a review of the history and empirical basis of genomewide association studies (GWAS), the rationale for GWAS of psychiatric disorders, results to date, limitations, and plans for GWAS meta-analyses. Method: A literature review was carried out, power and other issues discussed, and planned studies assessed. Results: Most of the genomic DNA sequence differences between any two people are common (frequency >5%) single nucleotide polymorphisms (SNPs). Because of localized patterns of correlation (linkage disequilibrium), 500,000 to 1,000,000 of these SNPs can test the hypothesis that one or more common variants explain part of the genetic risk for a disease. GWAS technologies can also detect some of the copy number variants (deletions and duplications) in the genome. Systematic study of rare variants will require large-scale resequencing analyses. GWAS methods have detected a remarkable number of robust genetic associations for dozens of common diseases and traits, leading to new pathophysiological hypotheses, although only small proportions of genetic variance have been explained thus far and therapeutic applications will require substantial further effort. Study design issues, power, and limitations are discussed. For psychiatric disorders, there are initial significant findings for common SNPs and for rare copy number variants, and many other studies are in progress. Conclusions: GWAS of large samples have detected associations of common SNPs and of rare copy number variants with psychiatric disorders. More findings are likely, since larger GWAS samples detect larger numbers of common susceptibility variants, with smaller effects. The Psychiatric GWAS Consortium is conducting GWAS meta-analyses for schizophrenia, bipolar disorder, major depressive disorder, autism, and attention deficit hyperactivity disorder. Based on results for other diseases, larger samples will be required. The contribution of GWAS will depend on the true genetic architecture of each disorder.

434 citations

Journal ArticleDOI
TL;DR: Intravenous ascorbic acid infusion was safe and well tolerated in this study and may positively impact the extent of multiple organ failure and biomarkers of inflammation and endothelial injury.
Abstract: Parenterally administered ascorbic acid modulates sepsis-induced inflammation and coagulation in experimental animal models. The objective of this randomized, double-blind, placebo-controlled, phase I trial was to determine the safety of intravenously infused ascorbic acid in patients with severe sepsis. Twenty-four patients with severe sepsis in the medical intensive care unit were randomized 1:1:1 to receive intravenous infusions every six hours for four days of ascorbic acid: Lo-AscA (50 mg/kg/24 h, n = 8), or Hi-AscA (200 mg/kg/24 h, n = 8), or Placebo (5% dextrose/water, n = 8). The primary end points were ascorbic acid safety and tolerability, assessed as treatment-related adverse-event frequency and severity. Patients were monitored for worsened arterial hypotension, tachycardia, hypernatremia, and nausea or vomiting. In addition Sequential Organ Failure Assessment (SOFA) scores and plasma levels of ascorbic acid, C-reactive protein, procalcitonin, and thrombomodulin were monitored. Mean plasma ascorbic acid levels at entry for the entire cohort were 17.9 ± 2.4 μM (normal range 50-70 μM). Ascorbic acid infusion rapidly and significantly increased plasma ascorbic acid levels. No adverse safety events were observed in ascorbic acid-infused patients. Patients receiving ascorbic acid exhibited prompt reductions in SOFA scores while placebo patients exhibited no such reduction. Ascorbic acid significantly reduced the proinflammatory biomarkers C-reactive protein and procalcitonin. Unlike placebo patients, thrombomodulin in ascorbic acid infused patients exhibited no significant rise, suggesting attenuation of vascular endothelial injury. Intravenous ascorbic acid infusion was safe and well tolerated in this study and may positively impact the extent of multiple organ failure and biomarkers of inflammation and endothelial injury. ClinicalTrials.gov identifier NCT01434121 .

433 citations


Authors

Showing all 24085 results

NameH-indexPapersCitations
Ronald C. Kessler2741332328983
Carlo M. Croce1981135189007
Nicholas G. Martin1921770161952
Michael Rutter188676151592
Kenneth S. Kendler1771327142251
Bernhard O. Palsson14783185051
Thomas J. Smith1401775113919
Ming T. Tsuang14088573865
Patrick F. Sullivan13359492298
Martin B. Keller13154165069
Michael E. Thase13192375995
Benjamin F. Cravatt13166661932
Jian Zhou128300791402
Rena R. Wing12864967360
Linda R. Watkins12751956454
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202395
2022395
20213,659
20203,437
20193,039
20182,758