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The consumer decision-making process proves to be the most comprehensive and integrated approach to explain and predict consumer behaviour. A fundamental problem, however, is that as a result of their complexity and cognitive substructure, the models which have been designed to express this approach cannot be easily verified in practice. The Indication is that the model of Overton (1981) provides a way out of this dilemma. The social and rational scales resulting from the model seems to be conceptually part of the broader classification system of field dependence and field independence. The results of the empirical investigation indicate, against the expectation that no significant correlation could be found between field dependence and a social consumer orientation. A significant negative correlation was how ever found between field dependence and a rational consumer orientation.

Quantifying the strength and efficiency of the Southern Ocean biological carbon pump (BCP) and its response to predicted changes in the Earth's climate is fundamental to our ability to predict long-term changes in the global carbon cycle and, by extension, the impact of continued anthropogenic perturbation of atmospheric CO 2 . There is little agreement, however, in climate model projections of the sensitivity of the Southern Ocean BCP to climate change, with a lack of consensus in even the direction of predicted change, highlighting a gap in our understanding of a major planetary carbon flux. In this review, we summarize relevant research that highlights the important role of fine-scale dynamics (both temporal and spatial) that link physical forcing mechanisms to biogeochemical responses that impact the characteristics of the seasonal cycle of phytoplankton and by extension the BCP. This approach highlights the potential for integrating autonomous and remote sensing observations of fine scale dynamics to derive regionally optimized biogeochemical parameterizations for Southern Ocean models. Ongoing development in both the observational and modelling fields will generate new insights into Southern Ocean ecosystem function for improved predictions of the sensitivity of the Southern Ocean BCP to climate change. This article is part of a discussion meeting issue 'Heat and carbon uptake in the Southern Ocean: the state of the art and future priorities'.

PDF - 80K, Association between the timing of mother smoking (before and during pregnancy) and DNA methylation at 26 CpGs of interest. Each point represents the association for each CpG in each smoking category. *Significance threshold p

PDF - 16K, Association between the combined mother and grandmother smoking categories and DNA methylation at 26 CpGs of interest. Each point represents the association for each CpG in each smoking category. *Significance threshold p

PDF - 225K, Evaluation of the additional effect of grandmother smoking on DNA methylation at the 26 CpGs of interest, given the mother smoked in her pregnancy. Each point represents the association for each CpG in each category. *Significance threshold p

Background: Maternal smoking in pregnancy is associated with adverse health outcomes in children, including cancers; underlying mechanisms may include epigenetic modifications. Using Illumina's 450K array, we previously identified differential DNA methylation related to maternal smoking during pregnancy at 26 CpG sites (CpGs) in 10 genes in newborn cord bloods from the Norwegian Mother and Child Cohort Study (MoBa). Whether these methylation signals in newborns reflect in utero exposure only or possibly epigenetic inheritance of smoking-related modifications is unclear.Methods: We therefore evaluated the impact of the timing of mother's smoking (before or during pregnancy using cotinine measured at 18 weeks gestation), the father's smoking before conception, and the grandmother's smoking during her pregnancy with the mother on methylation at these 26 CpGs in 1,042 MoBa newborns. We used robust linear regression, adjusting for covariates, applying Bonferroni correction.Results: The strongest and only statistically significant associations were observed for sustained smoking by the mother during pregnancy through at least gestational week 18 (P < 1.6 × 10−5 for all 26 CpGs). We observed no statistically significant differential methylation due to smoking by the mother before pregnancy or that ceased by week 18, father's smoking before conception, or grandmother's smoking while pregnant with the mother.Conclusions: Differential methylation at these CpGs in newborns seems to reflect sustained in utero exposure rather than epigenetic inheritance.Impact: Smoking cessation in early pregnancy may negate effects on methylation. Analyses of maternal smoking during pregnancy and offspring health outcomes, including cancer, limited to ever smoking might miss true associations. Cancer Epidemiol Biomarkers Prev; 23(6); 1007–17. ©2014 AACR.

PDF - 2930K, Timeline describing the collection of smoking information and methylation measurements for the study participants.

PDF - 89K, Supplementary Table 1. Differential methylation in cord blood DNA in relation to the father's smoking prior to the mother's pregnancy. Supplementary Table 2. The combined effect of mother and grandmother smoking in pregnancy compared to only the mother smoking in pregnancy, on differential DNA methylation in cord blood. Legends for Supplementary Figures 1 through 4.

Aim: To perform an epigenome-wide association study (EWAS) of serum folate in maternal blood. Methods: Cross-ancestry (Europeans = 302, South Asians = 161) and ancestry-specific EWAS in the EPIPREG cohort were performed, followed by methyl quantitative trait loci analysis and association with cardiometabolic phenotypes. Replication was attempted using maternal folate intake and blood methylation data from the MoBa study and verified if the findings were significant in a previous EWAS of maternal serum folate in cord blood. Results & conclusion: cg19888088 (cross-ancestry) in EBF3, cg01952260 (Europeans) and cg07077240 (South Asians) in HERC3 were associated with serum folate. cg19888088 and cg01952260 were associated with diastolic blood pressure. cg07077240 was associated with variants in CASC15. The findings were not replicated and were not significant in cord blood.

Arthrodesis of the distal interphalangeal joint of the fingers and interphalangeal joint of the thumb is a common procedure for multiple diagnoses. The purpose of this study was to evaluate fusion rates and complications in patients who have been previously implanted with an X Fuse superelastic implant (Stryker).All patients who underwent distal interphalangeal and/or thumb interphalangeal joint fusion between June 2013 and May 2019 were included by the senior author. A chart review was used to note demographics; hand dominance; and medical and surgical history, including complications, comorbidities, clinical recovery, absence of pain, and functional use. Pre- and postoperative radiographs were evaluated for angular deformity, postoperative correction of that deformity, boney consolidation, and tine cutout.Fifty-three patients (60 fingers; 43 women and 10 men) with a mean age of 62.6 years were included. The surgical diagnoses included hereditary osteoarthritis in 45 patients, rheumatoid arthritis in 4, psoriatic arthritis in 1, swan or mallet fingers in 5, ulnar motor loss instability in 2, and trauma or a fracture in 3. For X Fuse, an implant angle of 0° was used in 51 cases, whereas 15° was used in 9 cases. Bone consolidation was observed in all but 1 patient at an average time of 9.7 weeks (range 4.1-17.6 weeks). The X Fuse superelastic implant in small bones demonstrated minimal complications and a 98% (59/60) fusion rate.The X Fuse superelastic implant produced a reliable fusion, with no implant prominence and a 1.7% (1/60) rate of hardware removal.Therapeutic IV.

Facioscapulohumeral dystrophy (FSHD) is characterized by a loss of repressive epigenetic marks leading to the aberrant expression of the DUX4 transcription factor. In muscle, DUX4 acts as a poison protein though the induction of multiple downstream genes. So far, there is no therapeutic solution for FSHD. Because DUX4 is a transcription factor, we developed an original therapeutic approach, based on a DNA decoy trapping the DUX4 protein, preventing its binding to genomic DNA and thereby blocking the aberrant activation of DUX4’s transcriptional network. In vitro, transfection of a DUX4 decoy into FSHD myotubes reduced the expression of the DUX4 network genes. In vivo, both double-stand DNA DUX4 decoys and adeno-associated viruses (AAVs) carrying DUX4 binding sites reduced transcriptional activation of genes downstream of DUX4 in a DUX4-expressing mouse model. Our study demonstrates, both in vitro and in vivo, the feasibility of the decoy strategy and opens new avenues of research., Graphical Abstract, Facioscapulohumeral dystrophy (FSHD) is caused by the aberrant expression of the DUX4 transcription factor, which acts as a poison protein. In this study, Dumonceaux and colleagues developed a new therapeutic approach, based on a DNA decoy trapping the DUX4 protein, preventing its binding to the genomic DNA and thereby blocking DUX4 toxicity.

Fine particulate air pollution

Intravenous edetate disodium-based infusions reduced cardiovascular events in a prior clinical trial. The Trial to Assess Chelation Therapy 2 (TACT2) will replicate the initial study design.TACT2 is an NIH-sponsored, randomized, 2x2 factorial, double masked, placebo-controlled, multicenter clinical trial testing 40 weekly infusions of a multi-component edetate disodium (disodium ethylenediamine tetra-acetic acid, or NaResults are expected in 2024.TACT2 may provide definitive evidence of the benefit of edetate disodiumbased chelation on cardiovascular outcomes, as well as the clinical importance of longitudinal changes in toxic metal levels of participants.

Background Transgenic animals are widely used for research and for most of them, genotyping is unavoidable. Published protocols may be powerful but may also present disadvantages such as their cost or the requirement of additional steps/equipment. Moreover, if more than one strain must be genotyped, several protocols may need to be developed. Methods we adapted the existing amplification-resistant mutation protocol to develop the 1-h universal genotyping protocol (1-HUG), which allows the robust genotyping of genetically modified mice in 1 h from sample isolation to polymerase chain reaction gel running. Results This protocol allows the genotyping of different mouse models including mdx mouse, and FLExDUX4 and HSA-MerCreMer alone or in combination. It can be applied to different types of genomic modifications and to sexing. Conclusions The 1-HUG protocol can be used routinely in any laboratory using mouse models for neuromuscular diseases.

Humans are exposed to a diverse mixture of chemical and non-chemical exposures across their lifetimes. Well-designed epidemiology studies as well as sophisticated exposure science and related technologies enable the investigation of the health impacts of mixtures. While existing statistical methods can address the most basic questions related to the association between environmental mixtures and health endpoints, there were gaps in our ability to learn from mixtures data in several common epidemiologic scenarios, including high correlation among health and exposure measures in space and/or time, the presence of missing observations, the violation of important modeling assumptions, and the presence of computational challenges incurred by current implementations. To address these and other challenges, NIEHS initiated the Powering Research through Innovative methods for Mixtures in Epidemiology (PRIME) program, to support work on the development and expansion of statistical methods for mixtures. Six independent projects supported by PRIME have been highly productive but their methods have not yet been described collectively in a way that would inform application. We review 37 new methods from PRIME projects and summarize the work across previously published research questions, to inform methods selection and increase awareness of these new methods. We highlight important statistical advancements considering data science strategies, exposure-response estimation, timing of exposures, epidemiological methods, the incorporation of toxicity/chemical information, spatiotemporal data, risk assessment, and model performance, efficiency, and interpretation. Importantly, we link to software to encourage application and testing on other datasets. This review can enable more informed analyses of environmental mixtures. We stress training for early career scientists as well as innovation in statistical methodology as an ongoing need. Ultimately, we direct efforts to the common goal of reducing harmful exposures to improve public health.

BackgroundAsthma is a common but complex disease with racial/ethnic differences in prevalence, morbidity, and response to therapies.ObjectiveWe sought to perform an analysis of genetic ancestry to identify new loci that contribute to asthma susceptibility.MethodsWe leveraged the mixed ancestry of 3902 Latinos and performed an admixture mapping meta-analysis for asthma susceptibility. We replicated associations in an independent study of 3774 Latinos, performed targeted sequencing for fine mapping, and tested for disease correlations with gene expression in the whole blood of more than 500 subjects from 3 racial/ethnic groups.ResultsWe identified a genome-wide significant admixture mapping peak at 18q21 in Latinos (P=6.8×10-6), where Native American ancestry was associated with increased risk of asthma (odds ratio [OR], 1.20; 95% CI, 1.07-1.34; P=.002) and European ancestry was associated with protection (OR, 0.86; 95% CI, 0.77-0.96; P=.008). Our findings were replicated in an independent childhood asthma study in Latinos (P=5.3×10-3, combined P=2.6×10-7). Fine mapping of 18q21 in 1978 Latinos identified a significant association with multiple variants 5' of SMAD family member 2 (SMAD2) in Mexicans, whereas a single rare variant in the same window was the top association in Puerto Ricans. Low versus high SMAD2 blood expression was correlated with case status (13.4% lower expression; OR, 3.93; 95% CI, 2.12-7.28; P&nbsp

During the latter half of the 1970s high performance computers (HPC) were constructed using specially designed and manufactured hardware. The preferred architectures were vector or array processors, as these allowed for high speed processing of a large class of scientific/engineering applications. Due to the high cost of the development and construction of such HPC systems, the number of available installations was limited. Researchers often had to apply for compute time on such systems and wait for weeks before being allowed access. Cheaper and more accessible HPC systems were thus in great need. The concept to construct high performance parallel computers with distributed Multiple Instruction Multiple Data (MIMD) architectures using standard off-the-shelf hardware promised the construction of affordable supercomputers. Considerable scepticism existed at the time about the feasibility that MIMD systems could offer significant increases in processing speeds. The reasons for this were due to Amdahl’s Law, coupled with the overheads resulting from slow communication between nodes and the complex scheduling and synchronisation of parallel tasks. In order to investigate the potential of MIMD systems constructed with existing off-the-shelf hardware a first simple two processor system was constructed that finally became operational in 1979. In this paper aspects of this system and some of the results achieved are reviewed.

The World Health Organization in 2016 estimated that over 20% of the global disease burden and deaths were attributed to modifiable environmental factors. However, data clearly characterizing the impact of environmental exposures and health endpoints in African populations is limited. To describe recent progress and identify important research gaps, we reviewed literature on environmental health research in African populations over the last decade, as well as research incorporating both genomic and environmental factors. We queried PubMed for peer-reviewed research articles, reviews, or books examining environmental exposures and health outcomes in human populations in Africa. Searches utilized medical subheading (MeSH) terms for environmental exposure categories listed in the March 2018 US National Report on Human Exposure to Environmental Chemicals, which includes chemicals with worldwide distributions. Our search strategy retrieved 540 relevant publications, with studies evaluating health impacts of ambient air pollution (n=105), indoor air pollution (n = 166), heavy metals (n = 130), pesticides (n = 95), dietary mold (n = 61), indoor mold (n = 9), per- and polyfluoroalkyl substances (PFASs, n = 0), electronic waste (n = 9), environmental phenols (n = 4), flame retardants (n = 8), and phthalates (n = 3), where publications could belong to more than one exposure category. Only 23 publications characterized both environmental and genomic risk factors. Cardiovascular and respiratory health endpoints impacted by air pollution were comparable to observations in other countries. Air pollution exposures unique to Africa and some other resource limited settings were dust and specific occupational exposures. Literature describing harmful health effects of metals, pesticides, and dietary mold represented a context unique to Africa. Studies of exposures to phthalates, PFASs, phenols, and flame retardants were very limited. These results underscore the need for further focus on current and emerging environmental and chemical health risks as well as better integration of genomic and environmental factors in African research studies. Environmental exposures with distinct routes of exposure, unique co-exposures and co-morbidities, combined with the extensive genomic diversity in Africa may lead to the identification of novel mechanisms underlying complex disease and promising potential for translation to global public health.

Aim: Cigarette smoking influences DNA methylation genome wide, in newborns from pregnancy exposure and in adults from personal smoking. Whether a unique methylation signature exists for in utero exposure in newborns is unknown. Materials & methods: We separately meta-analyzed newborn blood DNA methylation (assessed using Illumina450k Beadchip), in relation to sustained maternal smoking during pregnancy (9 cohorts, 5648 newborns, 897 exposed) and adult blood methylation and personal smoking (16 cohorts, 15907 participants, 2433 current smokers). Results & conclusion: Comparing meta-analyses, we identified numerous signatures specific to newborns along with many shared between newborns and adults. Unique smoking-associated genes in newborns were enriched in xenobiotic metabolism pathways. Our findings may provide insights into specific health impacts of prenatal exposure on offspring.

Individuals with African ancestry have extensive genomic diversity but have been underrepresented in genomic research. There is also extensive global diversity in the exposome (the totality of human environmental exposures from conception onwards) which should be considered for integrative genomic and environmental health research in Africa. To address current research gaps, we organized a workshop on environmental health research in Africa in conjunction with the H3Africa Consortium and the African Society of Human Genetics meetings in Kigali, Rwanda. The workshop was open to all researchers with an interest in environmental health in Africa and involved presentations from experts within and outside of the Consortium. This workshop highlighted innovative research occurring on the African continent related to environmental health and the interplay between the environment and the human genome. Stories of success, challenges, and collaborative opportunities were discussed through presentations, breakout sessions, poster presentations, and a panel discussion. The workshop informed participants about environmental risk factors that can be incorporated into current or future epidemiology studies and addressed research design considerations, biospecimen collection and storage, biomarkers for measuring chemical exposures, laboratory strategies, and statistical methodologies. Inclusion of environmental exposure measurements with genomic data, including but not limited to H3Africa projects, can offer a strong platform for building gene-environment (G x E) research in Africa. Opportunities to leverage existing resources and add environmental exposure data for ongoing and planned studies were discussed. Future directions include expanding the measurement of both genomic and exposomic risk factors and incorporating sophisticated statistical approaches for analyzing high dimensional G x E data. A better understanding of how environmental and genomic factors interact with nutrition and infection is also needed. Considering that the environment represents many modifiable risk factors, these research findings can inform intervention and prevention efforts towards improving global health.

We report the case of a twenty-year-old man with a unilateral maculopathy responsible for an acute visual acuity loss and a sudden absolute central scotoma. His schizoid personality made the medical history fruitless. The patient's best corrected visual acuity was 20/60. Clinical examination revealed a strictly unilateral maculopathy with pigment remodeling and hyper-autofluorescent areas. Through this case report, we describe the characteristics of the lesion and the pathway to the diagnosis: a laser pointer-induced photic injury.

Epigenetic modifications, including DNA methylation, represent a potential mechanism for environmental impacts on human disease. Maternal smoking in pregnancy remains an important public health problem that impacts child health in a myriad of ways and has potential lifelong consequences. The mechanisms are largely unknown, but epigenetics most likely plays a role. We formed the Pregnancy And Childhood Epigenetics (PACE) consortium and meta-analyzed, across 13 cohorts (n = 6,685), the association between maternal smoking in pregnancy and newborn blood DNA methylation at over 450,000 CpG sites (CpGs) by using the Illumina 450K BeadChip. Over 6,000 CpGs were differentially methylated in relation to maternal smoking at genome-wide statistical significance (false discovery rate, 5%), including 2,965 CpGs corresponding to 2,017 genes not previously related to smoking and methylation in either newborns or adults. Several genes are relevant to diseases that can be caused by maternal smoking (e.g., orofacial clefts and asthma) or adult smoking (e.g., certain cancers). A number of differentially methylated CpGs were associated with gene expression. We observed enrichment in pathways and processes critical to development. In older children (5 cohorts, n = 3,187), 100% of CpGs gave at least nominal levels of significance, far more than expected by chance (p value < 2.2 × 10−16). Results were robust to different normalization methods used across studies and cell type adjustment. In this large scale meta-analysis of methylation data, we identified numerous loci involved in response to maternal smoking in pregnancy with persistence into later childhood and provide insights into mechanisms underlying effects of this important exposure. The BAMSE cohort was supported by The Swedish Research Council, The Swedish Heart-Lung Foundation, Freemason Child House Foundation in Stockholm, MeDALL (Mechanisms of the Development of ALLergy), a collaborative project conducted within the European Union (grant agreement No. 261357), Centre for Allergy Research, Stockholm County Council (ALF), Swedish foundation for strategic research (SSF, RBc08-0027, EpiGene project), the Strategic Research Programme (SFO) in Epidemiology at Karolinska Institutet, The Swedish Research Council Formas and the Swedish Environment Protection Agency.

Estimation of susceptibility differences in human health risk assessment (HHRA) has been challenged by a lack of available susceptibility and variability data after exposure to a specific environmental chemical or pharmaceutical. With the increasingly large number of available data sources that contain polymorphism and other genetic data, human genetic variability that informs susceptibility can be better incorporated into HHRA. A recent policy, the 2016 The Frank R. Lautenberg Chemical Safety for the twenty-first Century Act, requires the US Environmental Protection Agency to evaluate new and existing toxic chemicals with explicit consideration of susceptible populations of all types (life stage, exposure, genetic, etc.). We propose using the adverse outcome pathway (AOP) construct to organize, identify, and characterize human genetic susceptibility in HHRA. We explore how publicly available human genetic datasets can be used to gain mechanistic understanding of molecular events and characterize human susceptibility for an adverse outcome. We present a computational method that implements publicly available human genetic data to prioritize AOPs with potential for human genetic variability. We describe the application of this approach across multiple described AOPs for health outcomes of interest, and by focusing on a single molecular initiating event. This contributes to a long-term goal to improve estimates of human susceptibility for use in HHRA for single and multiple chemicals.

International audience; Facioscapulohumeral dystrophy (FSHD) is characterized by the contraction of the D4Z4 array located in the sub-telomeric region of the chromosome 4, leading to the aberrant expression of the DUX4 transcription factor and the mis-regulation of hundreds of genes. Several therapeutic strategies have been proposed among which the possibility to target the polyadenylation signal to silence the causative gene of the disease. Indeed, defects in mRNA polyadenylation leads to an alteration of the transcription termination, a disruption of mRNA transport from the nucleus to the cytoplasm decreasing the mRNA stability and translation efficiency. This review discusses the polyadenylation mechanisms, why alternative polyadenylation impacts gene expression, and how targeting polyadenylation signal may be a potential therapeutic approach for FSHD.

Objectives Fungi belonging to the Metarhizium anisopliae complex comprise ubiquitous arthropod pathogenic moulds used as mycopesticides. Rare cases of human infections due to M. anisopliae have been reported. We hypothesize misidentifications of fungal strains implicated in these cases or used in mycopesticides. Methods A review of the literature was conducted to identify previously published cases. We collected some of these previous described strains and reported new cases, and a French mycopesticide containing M. anisopliae . All identifications were performed based on elongation factor-1α gene sequencing. Results We report eight new cases of Metarhizium infection in humans (three from France and five from Australia). The strains isolated from these cases, and three others from already published cases and reported as M. anisopliae , were molecularly identified based on elongation factor-1α ( Ef1-α ) gene sequencing as follows: Metarhizium robertsii (six), Metarhizium guizhouense (three), Metarhizium brunneum (one) and Metarhizium pingshaense (one). Conclusions In this study, we report new human cases of Metarhizium infections, and, based on Ef-1α gene sequencing, we demonstrate the misidentification of species in case reports. We also correct the species identification of a strain reported as M. anisopliae used in a commercially available mycopesticide. According to our results, none of the strains from the human infection reports reviewed belongs to the species M. anisopliae .