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To evaluate the efficacy of an online psychosocial group intervention for parents of children with a chronic illness, in terms of anxiety and depression, and disease-related coping skills.

Parents (N = 73) participated in a parallel multicenter randomized controlled trial comparing an intervention group to a waitlist control group. In the group intervention Op Koers Online (English On Track Online) parents learned how to use adaptive coping strategies taught with cognitive behavioral therapy and acceptance and commitment therapy techniques. (±)-Tetramisole hydrochloride Assessments (online questionnaires) took place at baseline (T0), 6-months (T1), and 12-months (T2) follow-up. Mixed-model analyses were performed to test the difference in change in outcomes between intervention (N = 34) and waitlist control group (N = 33).

When compared with the waitlist control group, the intervention had a significant positive effect (p < .05) on changes in anxiety, depression, and total score T1 versus T0 (β = -.47 to -.51) and T2 versus T0 (β in clinical practice.

Equity-oriented policy actions are a key public health principle. In this study, how equity and socioeconomic inequalities are represented in policy problematizations of population nutrition were examined.

We retrieved a purposive sample of government nutrition-policy documents (n = 18) from high-income nations.

Thematic analysis of policy documents was informed by a multitheoretical understanding of equitable policies and Bacchi's "What's the Problem Represented to be?' analysis framework. Despite common rhetorical concerns about the existence of health inequalities, these concerns were often overshadowed by greater emphasis on lifestyle "problems" and reductionist policy actions. The notion that policy actions should be for all and reach everyone were seldom backed by specific actions. Rhetorical acknowledgements of the upstream drivers of health inequalities were also rarely problematized, as were government responsibilities for health equity and the role of policy and governance in reducing socioeconomic inequalities in nutrition.

To positively influence health equity outcomes, national nutrition policy will need to transition toward the prioritization of actions that uphold social justice and comprehensively address the upstream determinants of health.

To positively influence health equity outcomes, national nutrition policy will need to transition toward the prioritization of actions that uphold social justice and comprehensively address the upstream determinants of health.

RA encompasses a complex, heterogeneous and dynamic group of diseases arising from molecular and cellular perturbations of synovial tissues. The aim of this study was to decipher this complexity using an integrative systems approach and provide novel insights for designing stratified treatments.

An RNA sequencing dataset of synovial tissues from 152 RA patients and 28 normal controls was imported and subjected to filtration of differentially expressed genes, functional enrichment and network analysis, non-negative matrix factorization, and key driver analysis. A naïve Bayes classifier was applied to the independent datasets to investigate the factors associated with treatment outcome.

A matrix of 1241 upregulated differentially expressed genes from RA samples was classified into three subtypes (C1-C3) with distinct molecular and cellular signatures. C3 with prominent immune cells and proinflammatory signatures had a stronger association with the presence of ACPA and showed a better therapeutic response than C1 and C2, which were enriched with neutrophil and fibroblast signatures, respectively. C2 was more occupied by synovial fibroblasts of destructive phenotype and carried highly expressed key effector molecules of invasion and osteoclastogenesis. CXCR2, JAK3, FYN and LYN were identified as key driver genes in C1 and C3. HDAC, JUN, NFKB1, TNF and TP53 were key regulators modulating fibroblast aggressiveness in C2.

Deep phenotyping of synovial heterogeneity captured comprehensive and discrete pathophysiological attributes of RA regarding clinical features and treatment response. This result could serve as a template for future studies to design stratified approaches for RA patients.

Deep phenotyping of synovial heterogeneity captured comprehensive and discrete pathophysiological attributes of RA regarding clinical features and treatment response. This result could serve as a template for future studies to design stratified approaches for RA patients.

Annotating genetic variants from summary statistics of genome-wide association studies (GWAS) is crucial for predicting risk genes of various disorders. The multimarker analysis of genomic annotation (MAGMA) is one of the most popular tools for this purpose, where MAGMA aggregates signals of single nucleotide polymorphisms (SNPs) to their nearby genes. In biology, SNPs may also affect genes that are far away in the genome, thus missed by MAGMA. Although different upgrades of MAGMA have been proposed to extend gene-wise variant annotations with more information (e.g. Hi-C or eQTL), the regulatory relationships among genes and the tissue specificity of signals have not been taken into account.

We propose a new approach, namely network-enhanced MAGMA (nMAGMA), for gene-wise annotation of variants from GWAS summary statistics. Compared with MAGMA and H-MAGMA, nMAGMA significantly extends the lists of genes that can be annotated to SNPs by integrating local signals, long-range regulation signals (i.e. interacttect more risk genes (217% more than MAGMA and 57% more than H-MAGMA) that are involved in SCZ compared with MAGMA and H-MAGMA, and more of nMAGMA results can be validated with known SCZ risk genes. Some disease-related functions (e.g. the ATPase pathway in Cortex) are also uncovered in nMAGMA but not in MAGMA or H-MAGMA. Moreover, nMAGMA provides tissue-specific risk signals, which are useful for understanding disorders with multitissue origins.During the execution of working memory tasks, task-relevant information is processed by local circuits across multiple brain regions. How this multiarea computation is conducted by the brain remains largely unknown. To explore such mechanisms in spatial working memory, we constructed a neural network model involving parvalbumin-positive, somatostatin-positive, and vasoactive intestinal polypeptide-positive interneurons in the hippocampal CA1 and the superficial and deep layers of medial entorhinal cortex (MEC). Our model is based on a hypothesis that cholinergic modulations differently regulate information flows across CA1 and MEC at memory encoding, maintenance, and recall during delayed nonmatching-to-place tasks. In the model, theta oscillation coordinates the proper timing of interactions between these regions. Furthermore, the model predicts that MEC is engaged in decoding as well as encoding spatial memory, which we confirmed by experimental data analysis. Thus, our model accounts for the neurobiological characteristics of the cross-area information routing underlying working memory tasks.

To examine longitudinal changes in physical performance during the menopausal transition and the role of physical activity (PA) in these changes.

Based on follicle-stimulating hormone levels and bleeding diaries, women (47-55 years) were classified as early (n=89) and late perimenopausal (n=143) and followed prospectively until postmenopausal status, with mean duration of 17.5 and 13.8 months respectively. Physical performance was measured by handgrip force, knee extension torque, vertical jumping height, maximal walking speed and six-minute walking distance. PA was self-reported and categorized as low, medium, high. Longitudinal associations of menopausal status, physical performance and related changes with PA level were analyzed using generalized estimation equations adjusted for duration of hormonal therapy.

A significant decline over the menopausal transition in handgrip force (-2.1%, 95% CI -3.8 to -0.4), knee extension torque (-2.6%, 95% CI -4.5 to -0.8) and vertical jumping height (-2.6%, 95% CI -4.2 to -1.1) and a significant increase in six-minute walking distance (2.1%, 95% CI 1.4 to 2.7) were observed in the total sample. A significant interaction of PA by time was observed in handgrip force and in vertical jumping height. High PA women had greater increase in handgrip strength but greater decline in vertical jumping height than medium, low and inactive women (all p ≤0.001).

Both early and late perimenopausal women show decline in muscle strength and power during the transition to postmenopause. PA seems to influence physical performance during the menopausal transition but understanding the benefits of PA require interventional studies.

Both early and late perimenopausal women show decline in muscle strength and power during the transition to postmenopause. PA seems to influence physical performance during the menopausal transition but understanding the benefits of PA require interventional studies.Chemical composition and antimicrobial activity of Teucrium capitatum L. subsp. lusitanicum essential oil was investigated for the first time in the present study. Qualitative and quantitative analyses of the chemical composition by gas chromatography and mass spectrometry (GC-FID and GC-MS) revealed the presence of 60 compounds representing 97.6% of the whole constituents. The main compounds were germacrene D (47.1%), spathulenol (5.8%), α-selinene (5.3%), germacrene A (2.9%), δ-cadinene (2.8%) and cubenol (2.7%). In vitro, the antimicrobial activity was investigated against five bacterial strains along with the yeast Candida albicans using broth microdilution assay. T. capitatum subsp. lusitanicum essential oil showed significant activity against the gram-positive bacteria Staphylococcus aureus (MIC = MBC = 78 μg mL-1), Bacillus subtilis (MIC = MBC = 156 μg mL-1) and the yeast C. albicans (MIC = MFC = 156 μg mL-1). The great potential of antimicrobial effects is most likely due to the very high percentage of sesquiterpene hydrocarbons particularly to germacrene D, for which the antimicrobial properties have been previously reported.

Favourable outcomes have been demonstrated after extracorporeal life support (ECLS) facilitated rewarming for severe accidental hypothermia. The clinical impact of varying rewarming rates however is unclear. We sought to quantify the change in the probability of good neurological outcome with ECLS rewarming rate and identify the optimal rewarming rate threshold.

We performed a secondary analysis of the International ACcidental Hypothermia Extracorporeal Life Support Collaborators, an individual patient data data set (n = 658) for ECLS-assisted rewarming for accidental hypothermia. The independent variable of interest was rewarming rate. The primary outcome was survival with good neurological status. We applied an adjusted marginal effects model to quantify the probability of good neurological outcome over clinically observed rewarming rates. We examined strata defined by sex, initial potassium level and history of asphyxiation.

Of 658 cases, the median age and initial core temperature were 36 years (22-55) and 24.