MoveApps: a serverless no-code analysis platform for animal tracking data.

BACKGROUND: Bio-logging and animal tracking datasets continuously grow in volume and complexity, documenting animal behaviour and ecology in unprecedented extent and detail, but greatly increasing the challenge of extracting knowledge from the data obtained. A large variety of analysis methods are being developed, many of which in effect are inaccessible to potential users, because they remain unpublished, depend on proprietary software or require significant coding skills. RESULTS: We developed MoveApps, an open analysis platform for animal tracking data, to make sophisticated analytical tools accessible to a global community of movement ecologists and wildlife managers. As part of the Movebank ecosystem, MoveApps allows users to design and share workflows composed of analysis modules (Apps) that access and analyse tracking data. Users browse Apps, build workflows, customise parameters, execute analyses and access results through an intuitive web-based interface. Apps, coded in R or other programming languages, have been developed by the MoveApps team and can be contributed by anyone developing analysis code. They become available to all user of the platform. To allow long-term and cross-system reproducibility, Apps have public source code and are compiled and run in Docker containers that form the basis of a serverless cloud computing system. To support reproducible science and help contributors document and benefit from their efforts, workflows of Apps can be shared, published and archived with DOIs in the Movebank Data Repository. The platform was beta launched in spring 2021 and currently contains 49 Apps that are used by 316 registered users. We illustrate its use through two workflows that (1) provide a daily report on active tag deployments and (2) segment and map migratory movements. CONCLUSIONS: The MoveApps platform is meant to empower the community to supply, exchange and use analysis code in an intuitive environment that allows fast and traceable results and feedback. By bringing together analytical experts developing movement analysis methods and code with those in need of tools to explore, answer questions and inform decisions based on data they collect, we intend to increase the pace of knowledge generation and integration to match the huge growth rate in bio-logging data acquisition.

Do Hypertensive Men Spy With an Angry Little Eye? Anger Recognition in Men With Essential Hypertension - Cross-sectional and Prospective Findings.

BACKGROUND: Higher trait anger has inconsistently been associated with hypertension and hypertension development, but social context in terms of recognition of other persons' anger has been neglected in this context. PURPOSE: Here, we investigated anger recognition of facial affect and trait anger in essential hypertensive and normotensive men in addition to prospective associations with blood pressure (BP) increases. METHODS: Baseline assessment comprised a total of 145 participants including 57 essential hypertensive and 65 normotensive men who were otherwise healthy and medication-free. Seventy-two eligible participants additionally completed follow-up assessment 3.1 (±0.08 SEM) years later to analyze BP changes over time. We assessed emotion recognition of facial affect with a paradigm displaying mixed facial affect of two morphed basic emotions including anger, fear, sadness, and happiness. Trait anger was assessed with the Spielberger trait anger scale. RESULTS: Cross-sectionally, we found that with increasing BP, hypertensive men overrated anger displayed in facial expressions of mixed emotions as compared to normotensive men (ps ≤ .019) while there were no differences in trait anger (p = .16). Prospectively, the interaction between mean anger recognition and trait anger independently predicted BP increases from baseline to follow-up (ps ≤ .043), in that overrating displayed anger predicted future BP increases only if trait anger was high. CONCLUSIONS: Our findings indicate an anger recognition bias in men with essential hypertension and that overrating displayed anger in combination with higher trait anger seems to predict future BP increases. This might be of clinical relevance for the development and progression of hypertension and cardiovascular disease.

Acute stress reveals different impacts in male and female Zdhhc7-deficient mice.

Numerous processes of neuronal development and synaptic plasticity in the brain rely on the palmitoyl acyltransferase ZDHHC7, as it palmitoylates various synaptic and extrasynaptic proteins such as neural cell adhesion molecule (NCAM) or gamma-aminobutyric acid (GABAA) receptors. In addition, ZDHHC7 palmitoylates sex steroid hormone receptors and is, therefore, indirectly linked to mental disorders that often occur because of or in conjunction with stress. In this work, we investigated how ZDHHC7 affects stress responses in mice. For this purpose, genetically modified mice with a knockout of the Zdhhc7 gene (KO) and wild-type (WT) littermates of both sexes were exposed to acute stressors or control conditions and examined with regard to their behavior, brain microstructure, gene expression, and synaptic plasticity. While no behavioral effects of acute stress were found, we did find that acute stress caused reduced mRNA levels of Esr1 and Esr2 coding for estrogen receptor α and ß in the medial prefrontal cortex of male WT and KO mice. Strikingly, after acute stress only male KO mice showed reduced mean fiber lengths of the medioventral hippocampus. Furthermore, Zdhhc7-deficiency impaired synaptic plasticity in mice of both sexes, while acute stress improved it in females, but not in male mice. Taken together, our findings suggest that ZDHHC7 plays a modulatory role in the brain that leads to sex-specific stress responses, possibly due to estrogen receptor-mediated signaling pathways.

ADORA2A variation and adenosine A1 receptor availability in the human brain with a focus on anxiety-related brain regions: modulation by ADORA1 variation.

Adenosine, its interacting A1 and A2A receptors, and particularly the variant rs5751876 in the A2A gene ADORA2A have been shown to modulate anxiety, arousal, and sleep. In a pilot positron emission tomography (PET) study in healthy male subjects, we suggested an effect of rs5751876 on in vivo brain A1 receptor (A1AR) availability. As female sex and adenosinergic/dopaminergic interaction partners might have an impact on this rs5751876 effect on A1AR availability, we aimed to (1) further investigate the pilot male-based findings in an independent, newly recruited cohort including women and (2) analyze potential modulation of this rs5751876 effect by additional adenosinergic/dopaminergic gene variation. Healthy volunteers (32/11 males/females) underwent phenotypic characterization including self-reported sleep and A1AR-specific quantitative PET. Rs5751876 and 31 gene variants of adenosine A1, A2A, A2B, and A3 receptors, adenosine deaminase, and dopamine D2 receptor were genotyped. Multivariate analysis revealed an rs5751876 effect on A1AR availability (P = 0.047), post hoc confirmed in 30 of 31 brain regions (false discovery rate (FDR) corrected P values < 0.05), but statistically stronger in anxiety-related regions (e.g., amygdala, hippocampus). Additional effects of ADORA1 rs1874142 were identified; under its influence rs5751876 and rs5751876 × sleep had strengthened effects on A1AR availability (Pboth < 0.02; post hoc FDR-corrected Ps < 0.05 for 29/30 regions, respectively). Our results support the relationship between rs5751876 and A1AR availability. Additional impact of rs1874142, together with rs5751876 and sleep, might be involved in regulating arousal and thus the development of mental disorders like anxiety disorders. The interplay of further detected suggestive ADORA2A × DRD2 interaction, however, necessitates larger future samples more comparable to magnetic resonance imaging (MRI)-based samples.