scispace - formally typeset
Search or ask a question
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.


Papers
More filters
Journal ArticleDOI
29 May 2009-Science
TL;DR: An unbiased genome-wide approach was used to identify 239 sites (in 207 target genes), with stringent criteria for editing, which included 10 of the 13 known edited genes and suggested that many more human genes may be edited at lower frequencies.
Abstract: Although genetic information is stored in DNA, and faithfully copied into RNA, the cell can make the odd (and occasionally vitally important) change to the meaning of code during a process known as RNA editing. Thirteen edited genes are known in the nonrepetitive portion of the human genome, but the overall prevalence of RNA editing is unclear. Li et al. (p. [1210][1]), used an unbiased genome-wide approach to identify 239 sites (in 207 target genes), with stringent criteria for editing. The sites identified included 10 of the 13 known edited genes. Fourteen out of 18 randomly chosen sites were validated by sequencing, and these putatively edited genes were enriched for synapse, cell trafficking, and membrane functions. Furthermore, lowering the search stringency suggested that many more human genes may be edited at lower frequencies. [1]: /lookup/doi/10.1126/science.1170995

526 citations

Journal ArticleDOI
TL;DR: In this article, a facile and scalable chemical reduction method assisted by microwave irradiation for the synthesis of chemically converted graphene sheets and metal nanoparticles dispersed on the graphene sheets was developed.
Abstract: We have developed a facile and scalable chemical reduction method assisted by microwave irradiation for the synthesis of chemically converted graphene sheets and metal nanoparticles dispersed on the graphene sheets. The method allows rapid chemical reduction of exfoliated graphite oxide (GO) using a variety of reducing agents in either aqueous or organic media. It also allows the simultaneous reduction of GO and a variety of metal salts thus resulting in the dispersion of metallic and bimetallic nanoparticles supported on the large surface area of the thermally stable 2D graphene sheets.

525 citations

Journal ArticleDOI
26 Nov 2019-JAMA
TL;DR: US life expectancy increased for most of the past 60 years, but the rate of increase slowed over time and life expectancy decreased after 2014, with the largest relative increases occurring in the Ohio Valley and New England.
Abstract: Importance US life expectancy has not kept pace with that of other wealthy countries and is now decreasing. Objective To examine vital statistics and review the history of changes in US life expectancy and increasing mortality rates; and to identify potential contributing factors, drawing insights from current literature and an analysis of state-level trends. Evidence Life expectancy data for 1959-2016 and cause-specific mortality rates for 1999-2017 were obtained from the US Mortality Database and CDC WONDER, respectively. The analysis focused on midlife deaths (ages 25-64 years), stratified by sex, race/ethnicity, socioeconomic status, and geography (including the 50 states). Published research from January 1990 through August 2019 that examined relevant mortality trends and potential contributory factors was examined. Findings Between 1959 and 2016, US life expectancy increased from 69.9 years to 78.9 years but declined for 3 consecutive years after 2014. The recent decrease in US life expectancy culminated a period of increasing cause-specific mortality among adults aged 25 to 64 years that began in the 1990s, ultimately producing an increase in all-cause mortality that began in 2010. During 2010-2017, midlife all-cause mortality rates increased from 328.5 deaths/100 000 to 348.2 deaths/100 000. By 2014, midlife mortality was increasing across all racial groups, caused by drug overdoses, alcohol abuse, suicides, and a diverse list of organ system diseases. The largest relative increases in midlife mortality rates occurred in New England (New Hampshire, 23.3%; Maine, 20.7%; Vermont, 19.9%) and the Ohio Valley (West Virginia, 23.0%; Ohio, 21.6%; Indiana, 14.8%; Kentucky, 14.7%). The increase in midlife mortality during 2010-2017 was associated with an estimated 33 307 excess US deaths, 32.8% of which occurred in 4 Ohio Valley states. Conclusions and Relevance US life expectancy increased for most of the past 60 years, but the rate of increase slowed over time and life expectancy decreased after 2014. A major contributor has been an increase in mortality from specific causes (eg, drug overdoses, suicides, organ system diseases) among young and middle-aged adults of all racial groups, with an onset as early as the 1990s and with the largest relative increases occurring in the Ohio Valley and New England. The implications for public health and the economy are substantial, making it vital to understand the underlying causes.

524 citations

Journal ArticleDOI
TL;DR: It is concluded that the LFP brain injury model is an appropriate tool to study the cellular and mechanistic aspects of human TBI that cannot be addressed in the clinical setting, as well as for the development and characterization of novel therapeutic interventions.
Abstract: This article comprehensively reviews the lateral fluid percussion (LFP) model of traumatic brain injury (TBI) in small animal species with particular emphasis on its validity, clinical relevance and reliability. The LFP model, initially described in 1989, has become the most extensively utilized animal model of TBI (to date, 232 PubMed citations), producing both focal and diffuse (mixed) brain injury. Despite subtle variations in injury parameters between laboratories, universal findings are evident across studies, including histological, physiological, metabolic, and behavioral changes that serve to increase the reliability of the model. Moreover, demonstrable histological damage and severity-dependent behavioral deficits, which partially recover over time, validate LFP as a clinically-relevant model of human TBI. The LFP model, also has been used extensively to evaluate potential therapeutic interventions, including resuscitation, pharmacologic therapies, transplantation, and other neuroprotective and neuroregenerative strategies. Although a number of positive studies have identified promising therapies for moderate TBI, the predictive validity of the model may be compromised when findings are translated to severely injured patients. Recently, the clinical relevance of LFP has been enhanced by combining the injury with secondary insults, as well as broadening studies to incorporate issues of gender and age to better approximate the range of human TBI within study design. We conclude that the LFP brain injury model is an appropriate tool to study the cellular and mechanistic aspects of human TBI that cannot be addressed in the clinical setting, as well as for the development and characterization of novel therapeutic interventions. Continued translation of pre-clinical findings to human TBI will enhance the predictive validity of the LFP model, and allow novel neuroprotective and neuroregenerative treatment strategies developed in the laboratory to reach the appropriate TBI patients.

524 citations

Journal Article
TL;DR: Several morphological and immunohistochemical differences exist between hypertrophic scar and keloid that are useful for the biological and pathological characterization of the two lesions.
Abstract: There are two types of excessive scarring, keloid and hypertrophic scar. Contrary to hypertrophic scars, keloids do not regress with time, are difficult to revise surgically, and do not provoke scar contractures. These two lesions require different therapeutic approaches but are often confused because of an apparent lack of morphological differences. We have investigated the collagen organization and the possible presence of alpha-smooth muscle (SM) actin-expressing myofibroblasts in these conditions. Keloids contain large, thick collagen fibers composed of numerous fibrils closely packed together. In contrast hypertrophic scars exhibit modular structures in which fibroblastic cells, small vessels, and fine, randomly organized collagen fibers are present. We confirm that such nodular structures are always present in hypertrophic scar and rarely in keloid. Furthermore, only nodules of hypertrophic scars contain alpha-SM actin-expressing myofibroblasts. Electron microscopic examination supports the above-mentioned differences in collagen organization and in fibroblastic features and shows the presence of an amorphous extracellular material surrounding fibroblastic cells in keloid. The presence in hypertrophic scar myofibroblasts of alpha-SM actin, the actin isoform typical of vascular SM cells, may represent an important element in the pathogenesis of contraction. Interestingly, when placed in culture fibroblasts from hypertrophic scars and keloid express similar amounts of alpha-SM actin, suggesting that local microenvironmental factors influence in vivo the expression of this protein. Thus several morphological and immunohistochemical differences exist between hypertrophic scar and keloid that are useful for the biological and pathological characterization of the two lesions.

524 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
Network Information
Related Institutions (5)
University of Pittsburgh
201K papers, 9.6M citations

97% related

University of North Carolina at Chapel Hill
185.3K papers, 9.9M citations

97% related

Duke University
200.3K papers, 10.7M citations

95% related

University of Pennsylvania
257.6K papers, 14.1M citations

95% related

University of Minnesota
257.9K papers, 11.9M citations

95% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202395
2022395
20213,659
20203,437
20193,039
20182,758