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Institution

University of Louisville

EducationLouisville, Kentucky, United States
About: University of Louisville is a education organization based out in Louisville, Kentucky, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 24600 authors who have published 49248 publications receiving 1573346 citations. The organization is also known as: UofL.


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Journal ArticleDOI
TL;DR: Results indicate that in the conscious rabbit, the infarct-sparing effect of the late phase of ischemic PC is mediated by the activity of NOS and suggest that the specific isoform primarily responsible for this cardioprotective phenomenon is iNOS.
Abstract: Background —Despite intense investigation, the effector of the infarct-limiting protection observed during the late phase of ischemic preconditioning (PC) remains unknown. The goal of this study was to test the hypothesis that late PC against myocardial infarction is mediated by the activity of nitric oxide synthase (NOS). Methods and Results —Conscious rabbits underwent a 30-minute coronary occlusion followed by 3 days of reperfusion. In group I (control group, n=10), infarct size (tetrazolium staining) averaged 56.8±5.3% of the risk region, which was decreased to 27.6±2.5% ( P <0.05) in rabbits preconditioned 24 hours earlier with a sequence of six 4-minute occlusion/4-minute reperfusion cycles (group II, n=10). When preconditioned rabbits were given the nonselective NOS inhibitor N ω-nitro-l-arginine (L-NA, 13 mg/kg IV [group III, n=8]) or the selective iNOS inhibitor aminoguanidine (AG, 150 mg/kg SC [group V, n=7]) before the 30-minute occlusion, the protective effect of late PC was completely abrogated; that is, infarct size (59.9±4.5% and 65.8±3.3%, respectively) was similar to that measured in the control group. Measurements of systolic wall thickening (sonomicrometry) demonstrated that L-NA and AG also abolished the improved recovery of myocardial function effected by late PC in group II. When rabbits were given L-NA or AG without prior PC (group IV [n=8] and group VI [n=6], respectively), infarct size did not differ from that observed in controls (53.8±4.3% and 59.8±4.3%, respectively), demonstrating that L-NA and AG do not increase the extent of cell death in nonpreconditioned myocardium. Conclusions —Taken together, these results indicate that in the conscious rabbit, the infarct-sparing effect of the late phase of ischemic PC is mediated by the activity of NOS and suggest that the specific isoform primarily responsible for this cardioprotective phenomenon is iNOS. Thus, NO appears to be a pivotal component of the pathophysiological cascade of late PC.

262 citations

Journal ArticleDOI
M. Flint Beal1, David Oakes2, Ira Shoulson3, Claire Henchcliffe1  +157 moreInstitutions (67)
TL;DR: Coenzyme Q10 was safe and well tolerated in this population, but showed no evidence of clinical benefit, and the study was terminated after a prespecified futility criterion was reached.
Abstract: Importance Coenzyme Q10 (CoQ10), an antioxidant that supports mitochondrial function, has been shown in preclinical Parkinson disease (PD) models to reduce the loss of dopamine neurons, and was safe and well tolerated in early-phase human studies. A previous phase II study suggested possible clinical benefit. Objective To examine whether CoQ10 could slow disease progression in early PD. Design, Setting, and Participants A phase III randomized, placebo-controlled, double-blind clinical trial at 67 North American sites consisting of participants 30 years of age or older who received a diagnosis of PD within 5 years and who had the following inclusion criteria: the presence of a rest tremor, bradykinesia, and rigidity; a modified Hoehn and Yahr stage of 2.5 or less; and no anticipated need for dopaminergic therapy within 3 months. Exclusion criteria included the use of any PD medication within 60 days, the use of any symptomatic PD medication for more than 90 days, atypical or drug-induced parkinsonism, a Unified Parkinson’s Disease Rating Scale (UPDRS) rest tremor score of 3 or greater for any limb, a Mini-Mental State Examination score of 25 or less, a history of stroke, the use of certain supplements, and substantial recent exposure to CoQ10. Of 696 participants screened, 78 were found to be ineligible, and 18 declined participation. Interventions The remaining 600 participants were randomly assigned to receive placebo, 1200 mg/d of CoQ10, or 2400 mg/d of CoQ10; all participants received 1200 IU/d of vitamin E. Main Outcomes and Measures Participants were observed for 16 months or until a disability requiring dopaminergic treatment. The prospectively defined primary outcome measure was the change in total UPDRS score (Parts I-III) from baseline to final visit. The study was powered to detect a 3-point difference between an active treatment and placebo. Results The baseline characteristics of the participants were well balanced, the mean age was 62.5 years, 66% of participants were male, and the mean baseline total UPDRS score was 22.7. A total of 267 participants required treatment (94 received placebo, 87 received 1200 mg/d of CoQ10, and 86 received 2400 mg/d of CoQ10), and 65 participants (29 who received placebo, 19 who received 1200 mg/d of CoQ10, and 17 who received 2400 mg/d of CoQ10) withdrew prematurely. Treatments were well tolerated with no safety concerns. The study was terminated after a prespecified futility criterion was reached. At study termination, both active treatment groups showed slight adverse trends relative to placebo. Adjusted mean changes (worsening) in total UPDRS scores from baseline to final visit were 6.9 points (placebo), 7.5 points (1200 mg/d of CoQ10; P = .49 relative to placebo), and 8.0 points (2400 mg/d of CoQ10; P = .21 relative to placebo). Conclusions and Relevance Coenzyme Q10 was safe and well tolerated in this population, but showed no evidence of clinical benefit. Trial Registration clinicaltrials.gov Identifier:NCT00740714

262 citations

Journal ArticleDOI
TL;DR: New knowledge as well as research and technology gaps essential for developing appropriate decision-making tools in actual spill scenarios are summarized, with a particular focus on bioremediation as environmentally harmless, cost-effective and relatively inexpensive technology.
Abstract: Crude oil and petroleum products are widespread water and soil pollutants resulting from marine and terrestrial spillages. International statistics of oil spill sizes for all incidents indicate that the majority of oil spills are small (less than 7 tonnes). The major accidents that happen in the oil industry contribute only a small fraction of the total oil which enters the environment. However, the nature of accidental releases is that they highly pollute small areas and have the potential to devastate the biota locally. There are several routes by which oil can get back to humans from accidental spills, e.g. through accumulation in fish and shellfish, through consumption of contaminated groundwater. Although advances have been made in the prevention of accidents, this does not apply in all countries, and by the random nature of oil spill events, total prevention is not feasible. Therefore, considerable world-wide effort has gone into strategies for minimising accidental spills and the design of new remedial technologies. This paper summarizes new knowledge as well as research and technology gaps essential for developing appropriate decision-making tools in actual spill scenarios. Since oil exploration is being driven into deeper waters and more remote, fragile environments, the risk of future accidents becomes much higher. The innovative safety and accident prevention approaches summarized in this paper are currently important for a range of stakeholders, including the oil industry, the scientific community and the public. Ultimately an integrated approach to prevention and remediation that accelerates an early warning protocol in the event of a spill would get the most appropriate technology selected and implemented as early as possible – the first few hours after a spill are crucial to the outcome of the remedial effort. A particular focus is made on bioremediation as environmentally harmless, cost-effective and relatively inexpensive technology. Greater penetration into the remedial technologies market depends on the harmonization of environment legislation and the application of modern laboratory techniques, e.g. ecogenomics, to improve the predictability of bioremediation.

261 citations

Journal ArticleDOI
Gregory A. Roth1, Gregory A. Roth2, Catherine O. Johnson1, Kalkidan Hassen Abate3, Foad Abd-Allah4, Muktar Beshir Ahmed3, Khurshid Alam5, Tahiya Alam1, Nelson Alvis-Guzman6, Hossein Ansari, Johan Ärnlöv7, Tesfay Mehari Atey8, Ashish Awasthi9, Tadesse Awoke10, Aleksandra Barac11, Till Bärnighausen12, Neeraj Bedi13, Derrick A Bennett14, Isabela M. Benseñor15, Sibhatu Biadgilign, Carlos A Castañeda-Orjuela, Ferrán Catalá-López16, Kairat Davletov17, Samath D Dharmaratne18, Eric L. Ding12, Manisha Dubey19, Emerito Jose A. Faraon20, Talha Farid21, Maryam S. Farvid12, Valery L. Feigin22, João C. Fernandes23, Joseph Frostad1, Alemseged Aregay Gebru8, Johanna M. Geleijnse24, Philimon Gona25, Max Griswold1, Gessessew Bugssa Hailu8, Graeme J. Hankey5, Hamid Yimam Hassen26, Rasmus Havmoeller7, Simon I. Hay1, Susan R. Heckbert1, Caleb Mackay Salpeter Irvine1, Spencer L. James1, Dube Jara27, Amir Kasaeian28, Abdur Rahman Khan21, Sahil Khera29, Abdullah T Khoja30, Jagdish Khubchandani31, Daniel Kim32, Dhaval Kolte33, Dharmesh Kumar Lal9, Anders Larsson34, Shai Linn35, Paulo A. Lotufo15, Hassan Magdy Abd El Razek36, Mohsen Mazidi37, Toni Meier38, Walter Mendoza39, George A. Mensah40, Atte Meretoja41, Haftay Berhane Mezgebe8, Erkin M. Mirrakhimov42, Shafiu Mohammed43, Andrew E. Moran44, Grant Nguyen1, Minh Nguyen1, Kanyin Liane Ong1, Mayowa O. Owolabi45, Martin A Pletcher1, Farshad Pourmalek46, Caroline A. Purcell1, Mostafa Qorbani, Mahfuzar Rahman47, Rajesh Kumar Rai, Usha Ram19, Marissa B Reitsma1, Andre M. N. Renzaho48, Maria Jesus Rios-Blancas, Saeid Safiri49, Joshua A. Salomon12, Benn Sartorius50, Sadaf G. Sepanlou28, Masood Ali Shaikh, Diego Augusto Santos Silva51, Saverio Stranges52, Rafael Tabarés-Seisdedos16, Niguse Tadele Atnafu53, Jarnail Singh Thakur54, Roman Topor-Madry55, Thomas Truelsen56, E. Murat Tuzcu57, Stefanos Tyrovolas58, Kingsley N. Ukwaja, Tommi Vasankari, Vasiliy Victorovich Vlassov59, Stein Emil Vollset60, Tolassa Wakayo3, Robert G. Weintraub61, Charles D.A. Wolfe62, Abdulhalik Workicho3, Gelin Xu63, Simon Yadgir1, Yuichiro Yano64, Paul S. F. Yip65, Naohiro Yonemoto66, Mustafa Z. Younis67, Chuanhua Yu68, Zoubida Zaidi, Maysaa El Sayed Zaki36, Ben Zipkin1, Ashkan Afshin1, Emmanuela Gakidou1, Stephen S Lim1, Ali H. Mokdad1, Mohsen Naghavi1, Theo Vos1, Christopher J L Murray1 
Institute for Health Metrics and Evaluation1, University of Washington2, Jimma University3, Cairo University4, University of Western Australia5, University of Cartagena6, Karolinska Institutet7, Mekelle University8, Public Health Foundation of India9, University of Gondar10, University of Belgrade11, Harvard University12, Jazan University13, University of Oxford14, University of São Paulo15, University of Valencia16, Kazakh National Medical University17, University of Peradeniya18, International Institute for Population Sciences19, University of the Philippines Manila20, University of Louisville21, Auckland University of Technology22, Catholic University of Portugal23, Wageningen University and Research Centre24, University of Massachusetts Boston25, Mizan–Tepi University26, Debre markos University27, Tehran University of Medical Sciences28, New York Medical College29, Islamic University30, Ball State University31, Northeastern University32, Brown University33, Uppsala University34, University of Haifa35, Mansoura University36, Chinese Academy of Sciences37, Martin Luther University of Halle-Wittenberg38, United Nations Population Fund39, National Institutes of Health40, University of Melbourne41, Kyrgyz State Medical Academy42, Ahmadu Bello University43, Columbia University44, University of Ibadan45, University of British Columbia46, BRAC47, University of Sydney48, University of Maragheh49, University of KwaZulu-Natal50, Universidade Federal de Santa Catarina51, University of Western Ontario52, Addis Ababa University53, Post Graduate Institute of Medical Education and Research54, Jagiellonian University Medical College55, University of Copenhagen56, Cleveland Clinic57, Hospital Sant Joan de Déu Barcelona58, National Research University – Higher School of Economics59, Norwegian Institute of Public Health60, Royal Children's Hospital61, King's College London62, Nanjing University63, University of Mississippi Medical Center64, University of Hong Kong65, Kyoto University66, Jackson State University67, Wuhan University68
TL;DR: Large disparities in total burden of CVD persist between US states despite marked improvements in CVD burden, and increases in risk-deleted CVD DALY rates between 2006 and 2016 in 16 states suggest additional unmeasured risks beyond these traditional factors.
Abstract: Importance Cardiovascular disease (CVD) is the leading cause of death in the United States, but regional variation within the United States is large. Comparable and consistent state-level measures of total CVD burden and risk factors have not been produced previously. Objective To quantify and describe levels and trends of lost health due to CVD within the United States from 1990 to 2016 as well as risk factors driving these changes. Design, Setting, and Participants Using the Global Burden of Disease methodology, cardiovascular disease mortality, nonfatal health outcomes, and associated risk factors were analyzed by age group, sex, and year from 1990 to 2016 for all residents in the United States using standardized approaches for data processing and statistical modeling. Burden of disease was estimated for 10 groupings of CVD, and comparative risk analysis was performed. Data were analyzed from August 2016 to July 2017. Exposures Residing in the United States. Main Outcomes and Measures Cardiovascular disease disability-adjusted life-years (DALYs). Results Between 1990 and 2016, age-standardized CVD DALYs for all states decreased. Several states had large rises in their relative rank ordering for total CVD DALYs among states, including Arkansas, Oklahoma, Alabama, Kentucky, Missouri, Indiana, Kansas, Alaska, and Iowa. The rate of decline varied widely across states, and CVD burden increased for a small number of states in the most recent years. Cardiovascular disease DALYs remained twice as large among men compared with women. Ischemic heart disease was the leading cause of CVD DALYs in all states, but the second most common varied by state. Trends were driven by 12 groups of risk factors, with the largest attributable CVD burden due to dietary risk exposures followed by high systolic blood pressure, high body mass index, high total cholesterol level, high fasting plasma glucose level, tobacco smoking, and low levels of physical activity. Increases in risk-deleted CVD DALY rates between 2006 and 2016 in 16 states suggest additional unmeasured risks beyond these traditional factors. Conclusions and Relevance Large disparities in total burden of CVD persist between US states despite marked improvements in CVD burden. Differences in CVD burden are largely attributable to modifiable risk exposures.

261 citations

Journal ArticleDOI
TL;DR: Women with PCOS have significantly higher serum MIS levels than normal women, and the inverse relationship between müllerian-inhibiting substance and E( 2) levels suggests that MIS may modulate ovarian E(2) synthesis and have a role in the disordered folliculogenesis characteristic of PCOS.

261 citations


Authors

Showing all 24802 results

NameH-indexPapersCitations
Robert M. Califf1961561167961
Aaron R. Folsom1811118134044
Yang Gao1682047146301
Stephen J. O'Brien153106293025
James J. Collins15166989476
Anthony E. Lang149102895630
Sw. Banerjee1461906124364
Hermann Kolanoski145127996152
Ferenc A. Jolesz14363166198
Daniel S. Berman141136386136
Aaron T. Beck139536170816
Kevin J. Tracey13856182791
C. Dallapiccola1361717101947
Michael I. Posner134414104201
Alan Sher13248668128
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202373
2022249
20212,489
20202,234
20192,193
20182,153