Blood,War, and Ritual: Religious Ecology, ‘Strong’ Culture,and Human Sacrifice in the Premodern World

What social factors predict human sacrifice in premodern societies? After summarising key insights from competing theoretical perspectives that seek to explain the presence of human sacrifice in premodern societies, we empirically assess the explanatory utility of each theory. We draw from Stark's ‘moral communities’ argument and Alexander and Smith's insights regarding cultural autonomy to highlight how the macro-level organisation of premodern societies impacted the practice of human sacrifice. Using data from Murdock and White's Standard Cross-Cultural Sample, logistic regression models suggest that premodern societies that expressed community ties through religious ceremonies were more likely to engage in human sacrifice, while beliefs in spirit aggression are correlated with lower likelihood of human sacrifice. In terms of non-religious factors, societies that experienced frequent famine were slightly less likely to activity in the ancient world are partly a function of societal complexity. We conclude by specifying the theoretical implications of these findings.     

TRPC3 regulates release of brain-derived neurotrophic factor from human airway smooth muscle

Exogenous brain-derived neurotrophic factor (BDNF) enhances Ca^2 + signaling and cell proliferation in human airway smooth muscle (ASM), especially with inflammation. Human ASM also expresses BDNF, raising the potential for autocrine/paracrine effects. The mechanisms by which ASM BDNF secretion occurs are not known. Transient receptor potential channels (TRPCs) regulate a variety of intracellular processes including store-operated Ca^2 + entry (SOCE; including in ASM) and secretion of factors such as cytokines. In human ASM, we tested the hypothesis that TRPC3 regulates BDNF secretion. At baseline, intracellular BDNF was present, and BDNF secretion was detectable by enzyme linked immunosorbent assay (ELISA) of cell supernatants or by real-time fluorescence imaging of cells transfected with GFP–BDNF vector. Exposure to the pro-inflammatory cytokine tumor necrosis factor-alpha (TNFα) (20 ng/ml, 48 h) or a mixture of allergens (ovalbumin, house dust mite, Alternaria, and Aspergillus extracts) significantly enhanced BDNF secretion and increased TRPC3 expression. TRPC3 knockdown (siRNA or inhibitor Pyr3; 10 μM) blunted BDNF secretion, and prevented inflammation effects. Chelation of extracellular Ca^2 + (EGTA; 1 mM) or intracellular Ca^2 + (BAPTA; 5 μM) significantly reduced secreted BDNF, as did the knockdown of SOCE proteins STIM1 and Orai1 or plasma membrane caveolin-1. Functionally, secreted BDNF had autocrine effects suggested by phosphorylation of high-affinity tropomyosin-related kinase TrkB receptor, prevented by chelating extracellular BDNF with chimeric TrkB-Fc. These data emphasize the role of TRPC3 and Ca^2 + influx in the regulation of BDNF secretion by human ASM and the enhancing effects of inflammation. Given the BDNF effects on Ca^2 + and cell proliferation, BDNF secretion may contribute to altered airway structure and function in diseases such as asthma.     

The World is a Natural Laboratory,and Social Media is the New Petri Dish

Many high‐priority and high‐interest species are challenging to study due to the difficulty in accessing animals and/or obtaining sufficient sample sizes. The recent explosion in technology, particularly social media and live webcams available on the Internet, provides new opportunities for behavioral scientists to collect data not just on our own species, as well as new resources for teaching and outreach. We discuss here the possibility of exploiting online media as a new source of behavioral data, which we termed ‘video mining’. This article proposes epidemiological and ethological field techniques to gather and screen online media as a data source on diverse taxa. This novel method provides access to a rich source of untapped knowledge, particularly to study the behavior of understudied species or sporadic behaviors, but also for teaching or monitoring animals in challenging settings.     

Improved Detection of Common Variants Associated with Schizophrenia by Leveraging Pleiotropy with Cardiovascular-Disease Risk Factors

Several lines of evidence suggest that genome-wide association studies (GWASs) have the potential to explain more of the “missing heritability” of common complex phenotypes. However, reliable methods for identifying a larger proportion of SNPs are currently lacking. Here, we present a genetic-pleiotropy-informed method for improving gene discovery with the use of GWAS summary-statistics data. We applied this methodology to identify additional loci associated with schizophrenia (SCZ), a highly heritable disorder with significant missing heritability. Epidemiological and clinical studies suggest comorbidity between SCZ and cardiovascular-disease (CVD) risk factors, including systolic blood pressure, triglycerides, low- and high-density lipoprotein, body mass index, waist-to-hip ratio, and type 2 diabetes. Using stratified quantile-quantile plots, we show enrichment of SNPs associated with SCZ as a function of the association with several CVD risk factors and a corresponding reduction in false discovery rate (FDR). We validate this “pleiotropic enrichment” by demonstrating increased replication rate across independent SCZ substudies. Applying the stratified FDR method, we identified 25 loci associated with SCZ at a conditional FDR level of 0.01. Of these, ten loci are associated with both SCZ and CVD risk factors, mainly triglycerides and low- and high-density lipoproteins but also waist-to-hip ratio, systolic blood pressure, and body mass index. Together, these findings suggest the feasibility of using genetic-pleiotropy-informed methods for improving gene discovery in SCZ and identifying potential mechanistic relationships with various CVD risk factors.     

Increased functional connectivity with puberty in the mentalising network involved in social emotion processing

This article is part of a Special Issue “Puberty and Adolescence”.     

The design of a novel series of muscarinic receptor antagonists leading to AZD8683, a potential inhaled treatment for COPD

A novel series of muscarinic receptor antagonists was developed, with the aim of identifying a compound with high M₃ receptor potency and a reduced risk of dose-limiting side effects with potential for the treatment of COPD.Initial compound modifications led to a novel cycloheptyl series, which was improved by focusing on a quinuclidine sub-series. A wide range of N-substituents was evaluated to determine the optimal substituent providing a high M₃ receptor potency, high intrinsic clearance and high human plasma protein binding. Compounds achieving in vitro study criteria were selected for in vivo evaluation. Pharmacokinetic half-lives, inhibition of bronchoconstriction and duration of action, as well as systemic side effects, induced by the compounds were assessed in guinea-pig models.Compounds with a long duration of action and good therapeutic index were identified and AZD8683 was selected for progression to the clinic.     

Ocean acidification and rising temperatures may increase biofilm primary productivity but decrease grazer consumption

Climate change may cause ecosystems to become trophically restructured as a result of primary producers and consumers responding differently to increasing CO₂ and temperature. This study used an integrative approach using a controlled microcosm experiment to investigate the combined effects of CO₂ and temperature on key components of the intertidal system in the UK, biofilms and their consumers (Littorina littorea). In addition, to identify whether pre-exposure to experimental conditions can alter experimental outcomes we explicitly tested for differential effects on L. littorea pre-exposed to experimental conditions for two weeks and five months. In contrast to predictions based on metabolic theory, the combination of elevated temperature and CO₂ over a five-week period caused a decrease in the amount of primary productivity consumed by grazers, while the abundance of biofilms increased. However, long-term pre-exposure to experimental conditions (five months) altered this effect, with grazing rates in these animals being greater than in animals exposed only for two weeks. We suggest that the structure of future ecosystems may not be predictable using short-term laboratory experiments alone owing to potentially confounding effects of exposure time and effects of being held in an artificial environment over prolonged time periods. A combination of laboratory (physiology responses) and large, long-term experiments (ecosystem responses) may therefore be necessary to adequately predict the complex and interactive effects of climate change as organisms may acclimate to conditions over the longer term.