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Institution

University of Mainz

EducationMainz, Rheinland-Pfalz, Germany
About: University of Mainz is a education organization based out in Mainz, Rheinland-Pfalz, Germany. It is known for research contribution in the topics: Population & Immune system. The organization has 37673 authors who have published 71163 publications receiving 2497880 citations. The organization is also known as: Johannes Gutenberg-Universität Mainz & Universität Mainz.


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Journal ArticleDOI
TL;DR: Visual color difference thresholds can serve as a quality control tool to guide the selection of esthetic dental materials, evaluate clinical performance, and interpret visual and instrumental findings in clinical dentistry, dental research, and subsequent standardization.
Abstract: Purpose The aim of this prospective multicenter study was to determine 50:50% perceptibility threshold (PT) and 50:50% acceptability threshold (AT) of dental ceramic under simulated clinical settings. Materials and Methods The spectral radiance of 63 monochromatic ceramic specimens was determined using a non-contact spectroradiometer. A total of 60 specimen pairs, divided into 3 sets of 20 specimen pairs (medium to light shades, medium to dark shades, and dark shades), were selected for psychophysical experiment. The coordinating center and seven research sites obtained the Institutional Review Board (IRB) approvals prior the beginning of the experiment. Each research site had 25 observers, divided into five groups of five observers: dentists—D, dental students—S, dental auxiliaries—A, dental technicians—T, and lay persons—L. There were 35 observers per group (five observers per group at each site ×7 sites), for a total of 175 observers. Visual color comparisons were performed using a viewing booth. Takagi–Sugeno–Kang (TSK) fuzzy approximation was used for fitting the data points. The 50:50% PT and 50:50% AT were determined in CIELAB and CIEDE2000. The t-test was used to evaluate the statistical significance in thresholds differences. Results The CIELAB 50:50% PT was ΔEab = 1.2, whereas 50:50% AT was ΔEab = 2.7. Corresponding CIEDE2000 (ΔE00) values were 0.8 and 1.8, respectively. 50:50% PT by the observer group revealed differences among groups D, A, T, and L as compared with 50:50% PT for all observers. The 50:50% AT for all observers was statistically different than 50:50% AT in groups T and L. Conclusion A 50:50% perceptibility and ATs were significantly different. The same is true for differences between two color difference formulas ΔE00/ΔEab. Observer groups and sites showed high level of statistical difference in all thresholds. Clinical Significance Visual color difference thresholds can serve as a quality control tool to guide the selection of esthetic dental materials, evaluate clinical performance, and interpret visual and instrumental findings in clinical dentistry, dental research, and subsequent standardization. The importance of quality control in dentistry is reinforced by increased esthetic demands of patients and dental professionals.

627 citations

Journal ArticleDOI
Thorgeir E. Thorgeirsson1, Daniel F. Gudbjartsson2, Ida Surakka3, Ida Surakka4, Jacqueline M. Vink5, Najaf Amin6, Frank Geller2, Patrick Sulem2, Thorunn Rafnar2, Tõnu Esko7, Tõnu Esko8, Stefan Walter6, Christian Gieger, Rajesh Rawal, Massimo Mangino9, Inga Prokopenko10, Reedik Mägi10, Reedik Mägi11, Kaisu Keskitalo4, Iris H Gudjonsdottir2, Solveig Gretarsdottir2, Hreinn Stefansson2, John R. Thompson12, Yurii S. Aulchenko6, Mari Nelis7, Mari Nelis8, Katja K.H. Aben13, Martin den Heijer13, Asger Dirksen, Haseem Ashraf, Nicole Soranzo9, Nicole Soranzo14, Ana M. Valdes9, Claire J. Steves9, André G. Uitterlinden6, Albert Hofman6, Anke Tönjes15, Peter Kovacs15, Jouke-Jan Hottenga5, Gonneke Willemsen5, Nicole Vogelzangs16, Angela Döring, Norbert Dahmen17, Barbara Nitz, Michele L. Pergadia18, Berta Saez, Veronica De Diego, Victoria Lezcano, Maria D. Garcia-Prats, Samuli Ripatti3, Samuli Ripatti4, Markus Perola3, Johannes Kettunen14, Anna-Liisa Hartikainen19, Anneli Pouta, Jaana Laitinen20, Matti Isohanni19, Shen Huei-Yi4, Shen Huei-Yi3, Maxine Allen10, Maria Krestyaninova21, Alistair S. Hall22, Gregory T. Jones23, Andre M. van Rij23, Thomas Mueller, Benjamin Dieplinger, Meinhard Haltmayer, Steinn Jonsson, Stefan E Matthiasson24, Hogni Oskarsson, Thorarinn Tyrfingsson, Lambertus A. Kiemeney13, Jose I. Mayordomo25, Jes S. Lindholt, Jesper Holst Pedersen26, Wilbur A. Franklin27, Holly J. Wolf28, Grant W. Montgomery29, Andrew C. Heath18, Nicholas G. Martin29, Pamela A. F. Madden18, Ina Giegling30, Dan Rujescu30, Marjo-Riitta Järvelin, Veikko Salomaa3, Michael Stumvoll15, Tim D. Spector9, H-Erich Wichmann30, Andres Metspalu7, Andres Metspalu8, Nilesh J. Samani12, Brenda W.J.H. Penninx16, Ben A. Oostra6, Dorret I. Boomsma5, Henning Tiemeier6, Cornelia M. van Duijn6, Jaakko Kaprio4, Jaakko Kaprio3, Jeffrey R. Gulcher2, Mark I. McCarthy10, Mark I. McCarthy11, Leena Peltonen14, Leena Peltonen4, Unnur Thorsteinsdottir2, Unnur Thorsteinsdottir24, Kari Stefansson2, Kari Stefansson24 
TL;DR: The authors conducted genome-wide association meta-analyses for the number of cigarettes smoked per day (CPD) in smokers and smoking initiation (n = 46,481) using samples from the ENGAGE Consortium.
Abstract: Smoking is a common risk factor for many diseases. We conducted genome-wide association meta-analyses for the number of cigarettes smoked per day (CPD) in smokers (n = 31,266) and smoking initiation (n = 46,481) using samples from the ENGAGE Consortium. In a second stage, we tested selected SNPs with in silico replication in the Tobacco and Genetics (TAG) and Glaxo Smith Kline (Ox-GSK) consortia cohorts (n = 45,691 smokers) and assessed some of those in a third sample of European ancestry (n = 9,040). Variants in three genomic regions associated with CPD (P < 5 x 10(-8)), including previously identified SNPs at 15q25 represented by rs1051730[A] (effect size = 0.80 CPD, P = 2.4 x 10(-69)), and SNPs at 19q13 and 8p11, represented by rs4105144[C] (effect size = 0.39 CPD, P = 2.2 x 10(-12)) and rs6474412-T (effect size = 0.29 CPD, P = 1.4 x 10(-8)), respectively. Among the genes at the two newly associated loci are genes encoding nicotine-metabolizing enzymes (CYP2A6 and CYP2B6) and nicotinic acetylcholine receptor subunits (CHRNB3 and CHRNA6), all of which have been highlighted in previous studies of smoking and nicotine dependence. Nominal associations with lung cancer were observed at both 8p11 (rs6474412[T], odds ratio (OR) = 1.09, P = 0.04) and 19q13 (rs4105144[C], OR = 1.12, P = 0.0006).

626 citations

Journal ArticleDOI
TL;DR: In cerebrovascular stroke, neuronal NOS I and cytokine‐inducible NOS II play a key role in neurodegeneration, whereas endothelial NOS III is important for maintaining cerebral blood flow and preventing neuronal injury.
Abstract: Nitric oxide (NO) is synthesized by at least three distinct isoforms of NO synthase (NOS). Their substrate and cofactor requirements are very similar. All three isoforms have some implications, physiological or pathophysiological, in the cardiovascular system. The endothelial NOS III is physiologically important for vascular homeostasis, keeping the vasculature dilated, protecting the intima from platelet aggregates and leukocyte adhesion, and preventing smooth muscle proliferation. Central and peripheral neuronal NOS I may also contribute to blood pressure regulation. Vascular disease associated with hypercholesterolaemia, diabetes, and hypertension is characterized by endothelial dysfunction and reduced endothelium-mediated vasodilation. Oxidative stress and the inactivation of NO by superoxide anions play an important role in these disease states. Supplementation of the NOS substrate L-arginine can improve endothelial dysfunction in animals and man. Also, the addition of the NOS cofactor (6R)-5,6,7, 8-tetrahydrobiopterin improves endothelium-mediated vasodilation in certain disease states. In cerebrovascular stroke, neuronal NOS I and cytokine-inducible NOS II play a key role in neurodegeneration, whereas endothelial NOS III is important for maintaining cerebral blood flow and preventing neuronal injury. In sepsis, NOS II is induced in the vascular wall by bacterial endotoxin and/or cytokines. NOS II produces large amounts of NO, which is an important mediator of endotoxin-induced arteriolar vasodilatation, hypotension, and shock.

625 citations

Journal ArticleDOI
TL;DR: The results suggest that microRNAs can function as signaling molecules and identify TLR7 as an essential element in a pathway that contributes to the spread of CNS damage.
Abstract: Activation of innate immune receptors by host-derived factors exacerbates CNS damage, but the identity of these factors remains elusive. We uncovered an unconventional role for the microRNA let-7, a highly abundant regulator of gene expression in the CNS, in which extracellular let-7 activates the RNA-sensing Toll-like receptor (TLR) 7 and induces neurodegeneration through neuronal TLR7. Cerebrospinal fluid (CSF) from individuals with Alzheimer’s disease contains increased amounts of let-7b, and extracellular introduction of let-7b into the CSF of wild-type mice by intrathecal injection resulted in neurodegeneration. Mice lacking TLR7 were resistant to this neurodegenerative effect, but this susceptibility to let-7 was restored in neurons transfected with TLR7 by intrauterine electroporation of Tlr7(−/−) fetuses. Our results suggest that microRNAs can function as signaling molecules and identify TLR7 as an essential element in a pathway that contributes to the spread of CNS damage.

625 citations

Journal ArticleDOI
TL;DR: Macrophage inflammatory protein (MIP)-1alpha was identified 15 years ago as the first of now four members of the MIP-1 CC chemokine subfamily, which are best known for their chemotactic and proinflammatory effects but can also promote homoeostasis.

624 citations


Authors

Showing all 38009 results

NameH-indexPapersCitations
Patrick W. Serruys1862427173210
Michael Kramer1671713127224
Marc Weber1672716153502
Klaus Müllen1642125140748
J. E. Brau1621949157675
Wolfgang Wagner1562342123391
Thomas Meitinger155716108491
Florian Holsboer15192986351
Jongmin Lee1502257134772
György Buzsáki15044696433
Galen D. Stucky144958101796
Yi Yang143245692268
Brajesh C Choudhary1431618108058
Tim Adye1431898109010
Karl Jakobs138137997670
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023230
2022490
20213,565
20203,447
20193,147
20182,863