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Institution

University of Hamburg

EducationHamburg, Germany
About: University of Hamburg is a education organization based out in Hamburg, Germany. It is known for research contribution in the topics: Population & Laser. The organization has 45564 authors who have published 89286 publications receiving 2850161 citations. The organization is also known as: Hamburg University.


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Journal ArticleDOI
TL;DR: Comparison of isoelectric focusing and SDS‐containing gels and a simple spot test on thin gellayers show that the detection sensitivity depends not so much on the type of proteins but rather on their structure.
Abstract: The study of effects of several parameters on silver staining of proteins has led to the development of a staining method which is simple and reliable, requires only few stable solutions, and can be applied to all gel types such as sodium dodecyl sulfate (SDS) containing polyacrylamide or isoelectric focusing gels. It can be used for ultrathin layers (0.1–0.2 mm) or thicker slab gels (up to 3 mm). With this method not only proteins but also polypeptides of molecular weights as low as 2500 are detectable with high sensitivity. Comparison of isoelectric focusing and SDS-containing gels and a simple spot test on thin gellayers show that the detection sensitivity depends not so much on the type of proteins but rather on their structure. The redox properties of the gel are important for the staining mechanism.

1,371 citations

Journal ArticleDOI
TL;DR: It is shown that increased BAT activity induced by short-term cold exposure controls TRL metabolism in mice, and Activation of BAT might be a therapeutic approach to reduce elevated triglyceride concentrations and combat obesity in humans.
Abstract: Elevated triglyceride levels often occur in obesity and can contribute to cardiovascular disease. Brown adipose tissue (BAT) is known to burn fat, and now Joerg Heeren and his colleagues show that BAT actively takes up triglycerides in cold conditions, suggesting a possible therapy to lower triglyceride levels in states of obesity. Brown adipose tissue (BAT) burns fatty acids for heat production to defend the body against cold1,2 and has recently been shown to be present in humans3,4,5. Triglyceride-rich lipoproteins (TRLs) transport lipids in the bloodstream, where the fatty acid moieties are liberated by the action of lipoprotein lipase (LPL)6. Peripheral organs such as muscle and adipose tissue take up the fatty acids, whereas the remaining cholesterol-rich remnant particles are cleared by the liver6. Elevated plasma triglyceride concentrations and prolonged circulation of cholesterol-rich remnants, especially in diabetic dyslipidemia, are risk factors for cardiovascular disease7,8,9,10,11. However, the precise biological role of BAT for TRL clearance remains unclear. Here we show that increased BAT activity induced by short-term cold exposure controls TRL metabolism in mice. Cold exposure drastically accelerated plasma clearance of triglycerides as a result of increased uptake into BAT, a process crucially dependent on local LPL activity and transmembrane receptor CD36. In pathophysiological settings, cold exposure corrected hyperlipidemia and improved deleterious effects of insulin resistance. In conclusion, BAT activity controls vascular lipoprotein homeostasis by inducing a metabolic program that boosts TRL turnover and channels lipids into BAT. Activation of BAT might be a therapeutic approach to reduce elevated triglyceride concentrations and combat obesity in humans.

1,369 citations

Journal ArticleDOI
22 Jun 2018-Science
TL;DR: It is demonstrated that, in the general population, the personality trait neuroticism is significantly correlated with almost every psychiatric disorder and migraine, and it is shown that both psychiatric and neurological disorders have robust correlations with cognitive and personality measures.
Abstract: Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified the genetic sharing of 25 brain disorders from genome-wide association studies of 265,218 patients and 784,643 control participants and assessed their relationship to 17 phenotypes from 1,191,588 individuals. Psychiatric disorders share common variant risk, whereas neurological disorders appear more distinct from one another and from the psychiatric disorders. We also identified significant sharing between disorders and a number of brain phenotypes, including cognitive measures. Further, we conducted simulations to explore how statistical power, diagnostic misclassification, and phenotypic heterogeneity affect genetic correlations. These results highlight the importance of common genetic variation as a risk factor for brain disorders and the value of heritability-based methods in understanding their etiology.

1,357 citations

Journal ArticleDOI
Andrew I R Maas1, David K. Menon2, P. David Adelson3, Nada Andelic4  +339 moreInstitutions (110)
TL;DR: The InTBIR Participants and Investigators have provided informed consent for the study to take place in Poland.
Abstract: Additional co-authors: Endre Czeiter, Marek Czosnyka, Ramon Diaz-Arrastia, Jens P Dreier, Ann-Christine Duhaime, Ari Ercole, Thomas A van Essen, Valery L Feigin, Guoyi Gao, Joseph Giacino, Laura E Gonzalez-Lara, Russell L Gruen, Deepak Gupta, Jed A Hartings, Sean Hill, Ji-yao Jiang, Naomi Ketharanathan, Erwin J O Kompanje, Linda Lanyon, Steven Laureys, Fiona Lecky, Harvey Levin, Hester F Lingsma, Marc Maegele, Marek Majdan, Geoffrey Manley, Jill Marsteller, Luciana Mascia, Charles McFadyen, Stefania Mondello, Virginia Newcombe, Aarno Palotie, Paul M Parizel, Wilco Peul, James Piercy, Suzanne Polinder, Louis Puybasset, Todd E Rasmussen, Rolf Rossaint, Peter Smielewski, Jeannette Soderberg, Simon J Stanworth, Murray B Stein, Nicole von Steinbuchel, William Stewart, Ewout W Steyerberg, Nino Stocchetti, Anneliese Synnot, Braden Te Ao, Olli Tenovuo, Alice Theadom, Dick Tibboel, Walter Videtta, Kevin K W Wang, W Huw Williams, Kristine Yaffe for the InTBIR Participants and Investigators

1,354 citations

Journal ArticleDOI
TL;DR: An overarching organization of large-scale connectivity that situates the default-mode network at the opposite end of a spectrum from primary sensory and motor regions is described, suggesting that the role of the DMN in cognition might arise from its position at one extreme of a hierarchy, allowing it to process transmodal information that is unrelated to immediate sensory input.
Abstract: Understanding how the structure of cognition arises from the topographical organization of the cortex is a primary goal in neuroscience. Previous work has described local functional gradients extending from perceptual and motor regions to cortical areas representing more abstract functions, but an overarching framework for the association between structure and function is still lacking. Here, we show that the principal gradient revealed by the decomposition of connectivity data in humans and the macaque monkey is anchored by, at one end, regions serving primary sensory/motor functions and at the other end, transmodal regions that, in humans, are known as the default-mode network (DMN). These DMN regions exhibit the greatest geodesic distance along the cortical surface-and are precisely equidistant-from primary sensory/motor morphological landmarks. The principal gradient also provides an organizing spatial framework for multiple large-scale networks and characterizes a spectrum from unimodal to heteromodal activity in a functional metaanalysis. Together, these observations provide a characterization of the topographical organization of cortex and indicate that the role of the DMN in cognition might arise from its position at one extreme of a hierarchy, allowing it to process transmodal information that is unrelated to immediate sensory input.

1,346 citations


Authors

Showing all 46072 results

NameH-indexPapersCitations
Rudolf Jaenisch206606178436
Bruce M. Psaty1811205138244
Stefan Schreiber1781233138528
Chris Sander178713233287
Dennis J. Selkoe177607145825
Daniel R. Weinberger177879128450
Ramachandran S. Vasan1721100138108
Bradley Cox1692150156200
Anders Björklund16576984268
J. S. Lange1602083145919
Hannes Jung1592069125069
Andrew D. Hamilton1511334105439
Jongmin Lee1502257134772
Teresa Lenz1501718114725
Stefanie Dimmeler14757481658
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023282
2022817
20215,784
20205,492
20194,994
20184,587