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Virgin and photo-degraded microplastics induce the activation of human vascular smooth muscle cells
The impaired response of nasal epithelial cells to microplastic stimulation in asthma and COPD
RETRACTED ARTICLE: Rechallenge therapy versus tyrosine kinase inhibitor (TKI) for advanced metastatic colorectal cancer: a retrospective study
Lost opportunities: How gendered arrangements harm men
Traditional gendered arrangements—norms, roles, prejudices, and hierarchies—shape every human life. Associated harms are primarily framed as women’s issues due to more severe consequences women face. Yet, gendered arrangements also shape men ’s relationships, career paths, and health. Current work on gender equity overlooks men’s perspectives. Despite benefits they gain from out-ranking women, men’s position paradoxically entraps them in restrictive roles, compelling them to prioritize dominance. An inclusive framework challenges prevailing narratives by considering personal costs borne by men. Identifying with a man’s traditional role is a mixed privilege, as five gendered arrangements show for men who subscribe to them: 1. Masculine norms can restrict men’s choices and are associated with adverse health trajectories; 2. Some men’s disengagement from communal roles denies them positive outcomes associated with caring for others; 3. Hostile sexism fosters antipathy, fueling tension in some men’s interactions with women; 4. Benevolent sexism forces some men into scripted interactions, preventing genuine connections and burdening them with unrealistic breadwinner and protector roles; 5. Societal shifts in gender hierarchies can elicit threat responses in men, depending on intersections with social class and racial identities. Understanding costs to men calls for more empirical research. Gender equity for men, whose circumstances differ from those of women, would enable men to make informed choices and achieve better outcomes for themselves—paralleling the progress women have made in many areas of life. Striving for equity for all genders can ultimately enhance overall human well-being.
Author Correction: Self-other distinction modulates the sense of self-agency during joint actions
The corpus callosum in people with congenital adrenal hyperplasia (CAH)
Abstract Congenital Adrenal Hyperplasia (CAH) is a group of genetic disorders that affect the adrenal glands. CAH manifests in abnormal levels of cortisol and androgens and is accompanied by white matter alterations. However, no CAH study has specifically targeted the corpus callosum, the brain’s largest white matter fiber tract. To bridge that gap in the literature, we investigated callosal morphology in 53 individuals with CAH and 53 matched controls (66 women, 40 men). In addition to calculating areas for seven callosal subsections, we estimated the callosal thickness at 100 equidistant points. All statistical analyses were conducted while co-varying for age and total brain volume and applying corrections for multiple comparisons. There were no significant effects of biological sex and no significant group-by-sex interactions. However, there was a significant effect of group, both for area measures and thickness estimates, indicating smaller dimensions within the callosal splenium and isthmus in people with CAH. Our findings corroborate previous studies highlighting white matter alterations in CAH and may suggest that callosal integrity is compromised due to potentially adverse effects of glucocorticoids, a standard treatment for both men and women with CAH.
Magnetic susceptibility components reveal different aspects of neurodegeneration in alpha-synucleinopathies
Ultra-processed foods and plant-based alternatives impair nutritional quality of omnivorous and plant-forward dietary patterns in college students
Abstract The health benefits of a plant-based diet may be outweighed by an increased consumption of ultra-processed foods (UPF) and plant-based alternatives. This study compares diet quality (intakes of protein, saturated fatty acids, sugar, fiber, and micronutrients) and nutritional status (prevalence of low holotranscobalamin and ferritin levels) among different dietary patterns: 22.5% vegans, 46.5% vegetarians, 31% omnivores in 142 first-year college students (20 ± 1.6 years, BMI 21.9 ± 3.1 kg/m², 83% female). Intakes of vitamin B12, folate, iron, zinc, and calcium were on average below reference values, especially in vegans and vegetarians. However, the prevalence of low holotranscobalamin and ferritin levels did not differ between the dietary groups, presumably due to supplementation. Irrespective of the diet, UPF contributed to 49% of daily energy intake. UPF exhibited a lower content of protein, fiber, vitamin B2, vitamin B12, folate, zinc and calcium compared to processed foods (all p < 0.001). Plant-based alternatives contained more fiber and less saturated fatty acids whereas the content of protein and micronutrients was lower compared with animal products (all p < 0.05). In conclusion, UPF consumption contributes to the inadequate intake of many micronutrients by young adults. This is further aggravated by plant-forward eating patterns including the consumption of plant-based alternatives.
Feasibility and safety of zero-fluoro, “apron-less” approach to repeat pulmonary vein isolation procedures using radiofrequency energy after initial cryoballoon ablation
Relationship between age and delayed cerebral ischemia in patients with aneurysmal subarachnoid hemorrhage requiring invasive mechanical ventilation: a secondary analysis
Elevated POSTN expression predicts poor prognosis and is associated with radioresistance in cervical cancer patients treated with radical radiotherapy
The impact of glucocorticoid receptor transactivation on context-dependent cell migration dynamics
Abstract The glucocorticoid receptor (GR) plays a significant role in breast cancer cell behaviour, although data on its effects are conflicting. The impact of GR agonist dexamethasone (dex) and antagonist mifepristone (mif) on oestrogen-positive (ER+) and triple-negative (TN) breast cancer cell lines in both 2D and 3D cultures was studied using multiple in vitro functional assays and transcriptome sequencing. GR activation increased cell motility in TN but not in ER + tumour cells, as observed in both collective and single-cell migration tests. Time-lapse analysis showed enhanced motility after 4–6 h in wound healing, despite dex inhibiting migration initially. This inhibition was observed at 2 h in single-cell tracking migration assays. Cell proliferation increased in TN and decreased in ER + cells upon GR activation, reversed by GR antagonist. RNA sequencing revealed dex’s impact on cell adhesion and extracellular matrix signalling in TN cells and on DNA replication in ER + cells. Based on data from 1085 human breast cancer specimens, GR pathway expression correlated with migratory, extracellular matrix, and angiogenesis gene signatures. Additionally, higher expression of GR and increased GR signature were observed in fast-migrating cells compared to slow-migrating ones. Positive correlation between the GR signature and migration signature at the single-cell level indicated an association between GR activity and cell migration. For the first time, we assessed altered time-lapse migration dynamics in TN breast cancer cells, potentially contributing to cancer progression and prognosis, highlighting that the effects of dexamethasone on breast cancer cell migration are influenced by ER status and treatment duration.
Differential expression of CD175 and CA19-9 in pancreatic adenocarcinoma
Clinical benefits of the 5th intercostal incision in uniportal VATS for female patients
Multi scenario chaotic transient search optimization algorithm for global optimization technique
Why PD-L1 expression varies between studies of lung cancer: results from a Bayesian meta-analysis
Investigation of multi-input convolutional neural networks for the prediction of particleboard mechanical properties
Prediction of the axial compression capacity of ECC-CES columns using adaptive sampling and machine learning techniques
Abstract An innovative form of concrete-encased steel (CES) composite columns incorporating engineered cementitious composites (ECC) confinement (ECC-CES) has recently been introduced, displaying superior performance in failure behavior, ductility, and toughness compared to traditional CES columns. This study presents an innovative approach to predicting the axial capacity of ECC-CES columns using adaptive sampling and machine learning (ML) techniques. This study initially introduces a finite element (FE) modeling for ECC-CES columns, integrating material and geometric nonlinearities to accurately capture the inelastic behavior of ECC and steel through appropriate constitutive material laws. The FE model was validated against experimental data and demonstrated strong predictive accuracy. An adaptive sampling process is employed for efficient exploration of the design space to generate a database of 840 FE models. Subsequently, seven ML models are utilized to predict the axial compression capacity based on the FE database. These models were comprehensively evaluated, displaying a superior prediction performance compared to design standards such as EC4 and AISC360. From evolution metrics, the Gaussian process regression, CatBoost (CATB), and LightGBM (LGBM) models emerged as the most accurate and reliable model, with nearly more than 97% of FE samples within the 10% error range. Despite the robust performance of the ML models, their black-box nature limits practical applicability in design contexts. To address this, the study proposes a symbolic regression-derived design that offers interpretable, explicit design equations with competitive performance metrics.