5-HT obesity medication efficacy via POMC activation is maintained during aging

Peer reviewedPublisher PD

5-HT2C Receptor Agonist Anorectic Efficacy Potentiated by 5-HT1B Receptor Agonist Coapplication: An Effect Mediated via Increased Proportion of Pro-Opiomelanocortin Neurons Activated

An essential component of the neural network regulating ingestive behavior is the brain 5-hydroxytryptamine2C receptor (5-HT2CR), agonists of which suppress food intake and were recently approved for obesity treatment by the US Food and Drug Administration. 5-HT2CR-regulated appetite is mediated primarily through activation of hypothalamic arcuate nucleus (ARC) pro-opiomelanocortin (POMC) neurons, which are also disinhibited through a 5-HT1BR-mediated suppression of local inhibitory inputs. Here we investigated whether 5-HT2CR agonist anorectic potency could be significantly enhanced by coadministration of a 5-HT1BR agonist and whether this was associated with augmented POMC neuron activation on the population and/or single-cell level. The combined administration of subanorectic concentrations of 5-HT2CR and 5-HT1BR agonists produced a 45% reduction in food intake and significantly greater in vivo ARC neuron activation in mice. The chemical phenotype of activated ARC neurons was assessed by monitoring agonist-induced cellular activity via calcium imaging in mouse POMC-EGFP brain slices, which revealed that combined agonists activated significantly more POMC neurons (46%) compared with either drug alone (~25% each). Single-cell electrophysiological analysis demonstrated that 5-HT2CR/5-HT1BR agonist coadministration did not significantly potentiate the firing frequency of individual ARC POMC-EGFP cells compared with agonists alone. These data indicate a functional heterogeneity ofARCPOMCneurons by revealing distinct subpopulations of POMC cells activated by 5-HT2CRs and disinhibited by 5-HT1BRs. Therefore, coadministration of a 5-HT1BR agonist potentiates the anorectic efficacy of 5-HT2CR compounds by increasing the number, but not the magnitude, of activated ARC POMC neurons and is of therapeutic relevance to obesity treatment. © 2013 the authors

The structure and function of complex networks

Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.Comment: Review article, 58 pages, 16 figures, 3 tables, 429 references, published in SIAM Review (2003

An evaluation of Bradfordizing effects

The purpose of this paper is to apply and evaluate the bibliometric method Bradfordizing for information retrieval (IR) experiments. Bradfordizing is used for generating core document sets for subject-specific questions and to reorder result sets from distributed searches. The method will be applied and tested in a controlled scenario of scientific literature databases from social and political sciences, economics, psychology and medical science (SOLIS, SoLit, USB Köln Opac, CSA Sociological Abstracts, World Affairs Online, Psyndex and Medline) and 164 standardized topics. An evaluation of the method and its effects is carried out in two laboratory-based information retrieval experiments (CLEF and KoMoHe) using a controlled document corpus and human relevance assessments. The results show that Bradfordizing is a very robust method for re-ranking the main document types (journal articles and monographs) in today’s digital libraries (DL). The IR tests show that relevance distributions after re-ranking improve at a significant level if articles in the core are compared with articles in the succeeding zones. The items in the core are significantly more often assessed as relevant, than items in zone 2 (z2) or zone 3 (z3). The improvements between the zones are statistically significant based on the Wilcoxon signed-rank test and the paired T-Test

Evaluating Connectivity between Marine Protected Areas Using CODAR High-Frequency Radar

To investigate the connectivity between central California marine protected areas (MPAs), back-projections were calculated using the network of high-frequency (HF) radar ocean surface current mapping stations operated along the California coast by the member institutions of the Coastal Ocean Currents Monitoring Program with funding provided by California voters through Propositions 40 & 50 and administered by the State Coastal Conservancy. Trajectories of 1 km resolution grids of water particles were back-projected from ten MPAs each hour, out through 40 days in the past, from each day in 2008, producing a map of where surface waters travel over a 40-day period to reach the MPAs - and visualizations of the length of time the waters travel along these paths. By comparing the travel times of those back-projected track-points that crossed between MPA regions, the connection time between MPAs along the State\u27s central coast was assessed. Repeating these calculations resulted in a connectivity matrix between the MPAs in the region, and may be useful for assessing connectivity for the important invertebrate and fish larvae that are restricted to the surface ocean during a fraction of their lifecycle

Deflationary tactics with the archive of life: contemporary Jewish art and popular culture

This paper discusses art works by Suzanne Treister, Deborah Kass and Doug Fishbone. It considers the importance of their work for contemporary Jewish identity within the terms of wider conceptual questions that preoccupy contemporary art. These concerns are challenging the perceived structures of power, the “performance” of subjectivity and the questioning of authenticity. A deflationary aesthetic is central to the critique of these structures of thinking fuelled by an interest in the relationship between Jewish subjectivity and popular culture that underpins all of these art works. I argue that popular culture plays a key role as a constituting factor in the production of contemporary Anglophone subjectivity. I use the case studies to develop the argument in the three artists’ specificities and the way they all question the idea of authenticity as a stable source of self-understanding. Suzanne Treister questions history and our relationship with historical events, specifically the Holocaust. She also explores questions of the relationship between structures of power and narratives of history. Debora Kass considers the representation of Jewish women, power and iconicity. Doug Fishbone, a younger artist, takes on self-hate as a transformative tool and as a motif that destabilizes Jewishness as a category, especially in an age of the accelerated post-internet-derived subjectivity

Neurochemical characterization of brainstem Pro-opiomelanocortin cells

Financial Support: Work was supported by the Wellcome Trust (WT081713, WT098012 and 204815/Z/16/Z to LKH; 093566/Z/10/A to LKH/LKB), the Biotechnology and Biological Sciences Research Council (BB/K001418/1, BB/NO17838/1 to LKH), and the Medical Research Council (MRC; MC/PC/15077 to LKH). The Genomics and Transcriptomics Core facility utilized was supported by the MRC (MRC_MC_UU_12012/5) and Wellcome Trust (100574/Z/12/Z).Peer reviewedPublisher PD

5-HT2C receptor agonist anorectic efficacy potentiated by 5-HT1B receptor agonist coapplication:an effect mediated via increased proportion of pro-opiomelanocortin neurons activated

An essential component of the neural network regulating ingestive behavior is the brain 5-hydroxytryptamine2C receptor (5-HT2CR), agonists of which suppress food intake and were recently approved for obesity treatment by the US Food and Drug Administration. 5-HT2CR-regulated appetite is mediated primarily through activation of hypothalamic arcuate nucleus (ARC) pro-opiomelanocortin (POMC) neurons, which are also disinhibited through a 5-HT1BR-mediated suppression of local inhibitory inputs. Here we investigated whether 5-HT2CR agonist anorectic potency could be significantly enhanced by coadministration of a 5-HT1BR agonist and whether this was associated with augmented POMC neuron activation on the population and/or single-cell level. The combined administration of subanorectic concentrations of 5-HT2CR and 5-HT1BR agonists produced a 45% reduction in food intake and significantly greater in vivo ARC neuron activation in mice. The chemical phenotype of activated ARC neurons was assessed by monitoring agonist-induced cellular activity via calcium imaging in mouse POMC-EGFP brain slices, which revealed that combined agonists activated significantly more POMC neurons (46%) compared with either drug alone (∼25% each). Single-cell electrophysiological analysis demonstrated that 5-HT2CR/5-HT1BR agonist coadministration did not significantly potentiate the firing frequency of individual ARC POMC-EGFP cells compared with agonists alone. These data indicate a functional heterogeneity of ARC POMC neurons by revealing distinct subpopulations of POMC cells activated by 5-HT2CRs and disinhibited by 5-HT1BRs. Therefore, coadministration of a 5-HT1BR agonist potentiates the anorectic efficacy of 5-HT2CR compounds by increasing the number, but not the magnitude, of activated ARC POMC neurons and is of therapeutic relevance to obesity treatment

Artificial intelligence for dementia genetics and omics

Genetics and omics studies of Alzheimer's disease and other dementia subtypes enhance our understanding of underlying mechanisms and pathways that can be targeted. We identified key remaining challenges: First, can we enhance genetic studies to address missing heritability? Can we identify reproducible omics signatures that differentiate between dementia subtypes? Can high-dimensional omics data identify improved biomarkers? How can genetics inform our understanding of causal status of dementia risk factors? And which biological processes are altered by dementia-related genetic variation? Artificial intelligence (AI) and machine learning approaches give us powerful new tools in helping us to tackle these challenges, and we review possible solutions and examples of best practice. However, their limitations also need to be considered, as well as the need for coordinated multidisciplinary research and diverse deeply phenotyped cohorts. Ultimately AI approaches improve our ability to interrogate genetics and omics data for precision dementia medicine