Voltage- and Temperature-Dependent Allosteric Modulation of α7 Nicotinic Receptors by PNU120596

This is the final version of the article. Available from Frontiers Media via the DOI in this record.Alpha7 nicotinic acetylcholine receptors (α7 nAChR) are widely distributed throughout the central nervous system and are found at particularly high levels in the hippocampus and cortex. Several lines of evidence indicate that pharmacological enhancement of α7 nAChRs function could be a potential therapeutic route to alleviate disease-related cognitive deficits. A recent pharmacological approach adopted to increase α7 nAChR activity has been to identify selective positive allosteric modulators (PAMs). α7 nAChR PAMs have been divided into two classes: type I PAMs increase agonist potency with only subtle effects on kinetics, whereas type II agents produce additional dramatic effects on desensitization and deactivation kinetics. Here we report novel observations concerning the pharmacology of the canonical type II PAM, PNU120596. Using patch clamp analysis of acetylcholine (ACh)-mediated currents through recombinant rat α7 nAChR we show that positive allosteric modulation measured in two different ways is greatly attenuated when the temperature is raised to near physiological levels. Furthermore, PNU120596 largely removes the strong inward rectification usually exhibited by α7 nAChR-mediated responses

Transparency in health economic modeling : options, issues and potential solutions

Economic models are increasingly being used by health economists to assess the value of health technologies and inform healthcare decision making. However, most published economic models represent a kind of black box, with known inputs and outputs but undisclosed internal calculations and assumptions. This lack of transparency makes the evaluation of the model results challenging, complicates comparisons between models, and limits the reproducibility of the models. Here, we aim to provide an overview of the possible steps that could be undertaken to make economic models more transparent and encourage model developers to share more detailed calculations and assumptions with their peers. Scenarios with different levels of transparency (i.e., how much information is disclosed) and reach of transparency (i.e., who has access to the disclosed information) are discussed, and five key concerns (copyrights, model misuse, confidential data, software, and time/resources) pertaining to model transparency are presented, along with possible solutions. While a shift toward open-source models is underway in health economics, as has happened before in other research fields, the challenges ahead should not be underestimated. Importantly, there is a pressing need to find an acceptable trade-off between the added value of model transparency and the time and resources needed to achieve such transparency. To this end, it will be crucial to set incentives at different stakeholder levels. Despite the many challenges, the many benefits of publicly sharing economic models make increased transparency a goal worth pursuing

Regulating the employment dynamics of domestic supply chains

This paper sheds light on the role that the regulation of primarily domestic, rather than global, supply chains could play in protecting and enhancing standards of workplace health and safety, as well as employment standards more generally. The analysis presented confirms the potential relevance of such regulation in these regards. However, it also reinforces existing evidence pointing to the fact that only very rarely will market-related considerations on their own prompt purchasers to seek to directly influence the employment practices of their suppliers. The paper ends therefore by highlighting a number of key issues relating to the design of regulatory initiatives aimed at protecting and enhancing employment conditions within supply chains

Phenotypic Signatures Arising from Unbalanced Bacterial Growth

Fluctuations in the growth rate of a bacterial culture during unbalanced growth are generally considered undesirable in quantitative studies of bacterial physiology. Under well-controlled experimental conditions, however, these fluctuations are not random but instead reflect the interplay between intra-cellular networks underlying bacterial growth and the growth environment. Therefore, these fluctuations could be considered quantitative phenotypes of the bacteria under a specific growth condition. Here, we present a method to identify “phenotypic signatures” by time-frequency analysis of unbalanced growth curves measured with high temporal resolution. The signatures are then applied to differentiate amongst different bacterial strains or the same strain under different growth conditions, and to identify the essential architecture of the gene network underlying the observed growth dynamics. Our method has implications for both basic understanding of bacterial physiology and for the classification of bacterial strains

Homeosis in a scorpion supports a telopodal origin of pectines and components of the book lungs

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated

Loss of tuberous sclerosis complex 2 sensitizes tumors to nelfinavir−bortezomib therapy to intensify endoplasmic reticulum stress-induced cell death

Cancer cells lose homeostatic flexibility because of mutations and dysregulated signaling pathways involved in maintaining homeostasis. Tuberous Sclerosis Complex 1 (TSC1) and TSC2 play a fundamental role in cell homeostasis, where signal transduction through TSC1/TSC2 is often compromised in cancer, leading to aberrant activation of mechanistic target of rapamycin complex 1 (mTORC1). mTORC1 hyperactivation increases the basal level of endoplasmic reticulum (ER) stress via an accumulation of unfolded protein, due to heightened de novo protein translation and repression of autophagy. We exploit this intrinsic vulnerability of tumor cells lacking TSC2, by treating with nelvinavir to further enhance ER stress while inhibiting the proteasome with bortezomib to prevent effective protein removal. We show that TSC2-deficient cells are highly dependent on the proteosomal degradation pathway for survival. Combined treatment with nelfinavir and bortezomib at clinically relevant drug concentrations show synergy in selectively killing TSC2-deficient cells with limited toxicity in control cells. This drug combination inhibited tumor formation in xenograft mouse models and patient-derived cell models of TSC and caused tumor spheroid death in 3D culture. Importantly, 3D culture assays differentiated between the cytostatic effects of the mTORC1 inhibitor, rapamycin, and the cytotoxic effects of the nelfinavir/bortezomib combination. Through RNA sequencing, we determined that nelfinavir and bortezomib tip the balance of ER protein homeostasis of the already ER-stressed TSC2-deficient cells in favor of cell death. These findings have clinical relevance in stratified medicine to treat tumors that have compromised signaling through TSC and are inflexible in their capacity to restore ER homeostasis

Trade-offs and Noise Tolerance in Signal Detection by Genetic Circuits

Genetic circuits can implement elaborated tasks of amplitude or frequency signal detection. What type of constraints could circuits experience in the performance of these tasks, and how are they affected by molecular noise? Here, we consider a simple detection process–a signal acting on a two-component module–to analyze these issues. We show that the presence of a feedback interaction in the detection module imposes a trade-off on amplitude and frequency detection, whose intensity depends on feedback strength. A direct interaction between the signal and the output species, in a type of feed-forward loop architecture, greatly modifies these trade-offs. Indeed, we observe that coherent feed-forward loops can act simultaneously as good frequency and amplitude noise-tolerant detectors. Alternatively, incoherent feed-forward loop structures can work as high-pass filters improving high frequency detection, and reaching noise tolerance by means of noise filtering. Analysis of experimental data from several specific coherent and incoherent feed-forward loops shows that these properties can be realized in a natural context. Overall, our results emphasize the limits imposed by circuit structure on its characteristic stimulus response, the functional plasticity of coherent feed-forward loops, and the seemingly paradoxical advantage of improving signal detection with noisy circuit components

Association studies on 11 published colorectal cancer risk loci

Colorectal cancer (CRC) is the third most common cancer type in the Western world. Over one million patients are diagnosed worldwide yearly. A family history of CRC is a major risk factor for CRC. The total genetic contribution to disease development is estimated to be 35%. High-risk syndromes caused by known genes such as familial adenomatous polyposis (FAP) and Lynch Syndrome (LS) explain less than 5% of that number. Recently, several genome-wide association studies (GWAS) have independently found numerous loci at which common single-nucleotide polymorphisms (SNPs) modestly influence the risk of developing colorectal cancer. In total, germline mutations in known genes and moderate- and low risk variants are today suggested to explain 10-15% of the total genetic burden. Hence, predisposed genetic factor are still left to be found. The aim of paper I was to investigate if 11 published loci reported to be associated with an increased or decreased risk of colorectal cancer could be confirmed in a Swedish-based cohort. The cohort was composed of 1786 cases and 1749 controls that were genotyped and analyzed statistically. Genotype– phenotype analysis, for all 11 SNPs and sex, age of onset, family history of CRC and tumor location, was performed. Of 11 loci, 5 showed statistically significant odds ratios similar to previously published findings. Most of the remaining loci showed similar OR to previous publications. Four statistically significant genotype–phenotype associations were reported. The aim of paper II was to further study these 11 SNPs and their possible correlation with morphological features in tumors. We analyzed 15 histological features in 1572 CRC cases. Five SNPs showed statistically significant associations with morphological parameters. The parameters were poor differentiation, mucin production, decreased frequency of Crohn-like peritumoral reaction and desmoplastic response. The aim of paper III was to identify new CRC loci using a genome wide linkage analysis. We used 121 non-FAP/LS colorectal cancer families and genotyped 600 subjects using SNP array chips. No statistically significant result was found. However, suggestive linkage was found in the parametric analysis. This was observed in a recessive model for high-risk families, at locus 9q31.1 (HLOD=2.2) and for moderate-risk families, at locus Xp22.33 (LOD=2.2 and HLOD=2.5). Using families with early-onset, recessive analysis suggested one locus on 4p16.3 (LOD=2.2) and one on 17p13.2 (LOD/HLOD=2.0). Our linkage study adds support for the previously suggested region on chromosome 9 and suggests three additional loci to be involved in colorectal cancer risk. It is debated whether CRC is a single entity or two different entities, colon- and rectal cancer. Studies have recognized their molecular differences. The aim of paper IV was to identify novel colon- and rectal loci. We performed a genome wide linkage analysis using 32 colon- and 56 rectal cancer families. No LOD or HLOD score above three was observed. However, results close to three could be demonstrated. A maximum HLOD= 2.49 at locus 6p21.1-p12.1 and HLOD= 2.55 at locus 18p11.2 was observed for the colon- and rectal cancer families respectively. Exome sequencing was done, on colon and rectal patients, in these regions of interest. We report 25 variants mutated in family members on chromosome 6 and 27 variants on chromosome 18. Further studies are ongoing to elucidate the importance of these variants

Rethinking Industrial Relations revisited

This article traces the origins and consequences of the book Rethinking Industrial Relations and then explores some of the conceptual and empirical issues raised since its publication