Browse Articles

Smoking, and to a lesser extent non-combustible nicotine use, is associated with higher levels of alcohol consumption and risky drinking

Abstract This study aimed to estimate differences in alcohol consumption, receipt of alcohol brief intervention, and alcohol reduction attempts by smoking status and use of non-combustible nicotine (including e-cigarettes, nicotine replacement therapy, heated tobacco products, or nicotine pouches). Data were from a representative household survey of adults in England (n = 188,878). Participants who reported former or current smoking scored approximately 1 point higher, on average, on the AUDIT-C (which measures alcohol consumption) than those who had never regularly smoked (B adj=0.97 [95%CI 0.93–1.00] and 0.92 [0.87–0.96], respectively) and had double the odds of risky drinking (AUDIT-C ≥ 5: ORadj=2.04 [1.98–2.10] and 2.03 [1.97–2.10], respectively), while differences for those who did versus did not use non-combustible nicotine use were less pronounced (AUDIT-C: B adj=0.14 [0.08–0.21]; AUDIT-C ≥ 5: ORadj=1.09 [1.04–1.13]). Among participants who engaged in risky drinking, those who smoked (vs. not) were more likely to report receiving alcohol brief interventions, and those attempting to quit smoking (vs. not) were more likely to report alcohol reduction attempts. Overall, combustible and - less so - non-combustible nicotine use is associated with higher levels of alcohol consumption and risky drinking.

Flight testing of drone-delivered automated external defibrillators for simulated out-of-hospital cardiac arrest in suburban Thailand

Enhancement of electric field uniformity using 3-phase circular electrodes in RF heating applications

Weather-driven risk assessment model for two-wheeler road crashes in Uttar Pradesh, India

Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning

Conceptual design of airborne contra rotating VAWTs for rooftop wind energy

Abstract Co-rotating, counter, and contra-rotating Vertical Axis Wind Turbines (VAWTs) offer higher power yields than singular turbines due to synergetic interactions, making them ideal for rooftop applications. This study focuses on enhancing the efficiency of a Contra-Rotating VAWT (CR-VAWT) using a ducted airborne configuration. A wind gathering device (WGD), optimized via the Taguchi method, is integrated around the CR-VAWT, which is elevated using an oblate spheroid aerostat designed through a force-weight approach. CFD analyses reveal that incorporating the WGD boosts power output by 32% and increases instantaneous torque by 40% during dynamic stall. The WGD enhances flow redirection towards the rotor plane, achieving a 58% power gain at a 10°skew angle. By suppressing blade-tip vortex shedding, the WGD not only improves efficiency but may also reduce noise. This portable system is suitable for rooftops with limited space, requiring fewer turbines to meet energy demands while reducing noise and improving aesthetics. It also allows for integration with other renewable technologies like photovoltaics, promoting sustainability and lowering carbon footprints. A comprehensive implementation framework is presented to support future research on airborne VAWTs.

Root decomposition in Urochloa decumbens pastures fertilized with increasing nitrogen doses or intercropped with Calopogonium mucunoides

PCSK9 with a gain of function D374Y mutation aggravates atherosclerosis by inhibiting PPARα expression

Multinational modelling of PM2.5 and CO exposures from household air pollution in peri-urban Cameroon, Ghana and Kenya

Abstract In sub-Saharan Africa, approximately 85% of the population uses polluting cooking fuels (e.g. wood, charcoal). Incomplete combustion of these fuels generates household air pollution (HAP), containing fine particulate matter (PM2.5 ) and carbon monoxide (CO). Due to large spatial variability, increased quantification of HAP levels is needed to improve exposure assessment in sub-Saharan Africa. The CLEAN-Air(Africa) study included 24-h monitoring of PM2.5 and CO kitchen concentrations (npm2.5 = 248/nCO = 207) and female primary cook exposures (npm2.5 = 245/nCO = 222) in peri-urban households in Obuasi (Ghana), Mbalmayo (Cameroon) and Eldoret (Kenya). HAP measurements were combined with survey data on cooking patterns, socioeconomic characteristics and ambient exposure proxies (e.g. walking time to nearest road) in separate PM2.5 and CO mixed-effect log-linear regression models. Model coefficients were applied to a larger study population (n = 937) with only survey data to quantitatively scale up PM2.5 and CO exposures. The final models moderately explained variation in mean 24-h PM2.5 (R2 = 0.40) and CO (R2 = 0.26) kitchen concentration measurements, and PM2.5 (R2 = 0.27) and CO (R2 = 0.14) female cook exposures. Primary/secondary cooking fuel type was the only significant predictor in all four models. Other significant predictors of PM2.5 and CO kitchen concentrations were cooking location and household size; household financial security and rental status were only predictive of PM2.5 concentrations. Cooking location, household financial security and proxies of ambient air pollution exposure were significant predictors of PM2.5 cook exposures. Including objective cooking time measurements (from temperature sensors) from (n = 143) households substantially improved (by 52%) the explained variability of the CO kitchen concentration model, but not the PM2.5 model. Socioeconomic characteristics and markers of ambient air pollution exposure were strongly associated with mean PM2.5 measurements, while cooking environment variables were more predictive of mean CO levels.

Subthalamic Nucleus Deep Brain Stimulation in the Beta Frequency Range Boosts Cortical Beta Oscillations and Slows Down Movement

Recordings from Parkinson's disease (PD) patients show strong beta-band oscillations (13–35 Hz), which can be modulated by deep brain stimulation (DBS). While high-frequency DBS (>100 Hz) ameliorates motor symptoms and reduces beta activity in the basal ganglia and motor cortex, the effects of low-frequency DBS (<30 Hz) are less clear. Clarifying these effects is relevant for the debate about the role of beta oscillations in motor slowing, which might be causal or epiphenomenal. Here, we investigated how subthalamic nucleus (STN) beta-band DBS affects cortical beta oscillations and motor performance. We recorded the magnetoencephalogram of 14 PD patients (nine males) with DBS implants while on their usual medication. Following a baseline recording (DBS OFF), we applied bipolar DBS at beta frequencies (10, 16, 20, 26, and 30 Hz) via the left electrode in a cyclic fashion, turning stimulation on (5 s) and off (3 s) repeatedly. Cyclic stimulation was applied at rest and during right-hand finger tapping. In the baseline recording, we observed a negative correlation between the strength of hemispheric beta power lateralization and the tap rate. Importantly, beta-band DBS accentuated the lateralization and reduced the tap rate proportionally. The change in lateralization was specific to the alpha/beta range (8–26 Hz), outlasted stimulation, and did not depend on the stimulation frequency, suggesting a remote-induced response rather than entrainment. Our study demonstrates that cortical beta oscillations can be manipulated by STN beta-band DBS. This manipulation has consequences for motor performance, supporting a causal role of beta oscillations.

Molecular profiling of breast cancer methylation pattern in triple negative versus non- triple negative breast cancer

Abstract Epigenetic alterations, especially promotor methylation, have a significant impact on gene expression, molecular subtyping, prognosis, and outcome of breast cancer (BC). The methylation profile was assessed for 22 genes of the BC tissue using the EpiTect Methyl II PCR System in 40 triple-negative BC (TNBC) patients compared to 50 non-TNBC group. The data were corelated with the disease-free (DFS) and overall survival (OS) of the patients. Genes that were differentially hypermethylated in TNBC patients compared to those with non-TNBC included CCND2, CDKN2A, ESR1, CDH1, BRCA1, GSTP, RASSF1, SLIT2, MGMT, PTEN, TP73, and PRDM2. These panel achieved 95% sensitivity, 98% specificity, 97.44% positive predictive value (PPV), 94.23% negative predictive value (NPV), and AUC of 0.993. Hypermethylation of BRCA1, CDH1, CDKN2A, ESR1, GSTP, HIC1, MGMT, PRDM2, PTEN, PYCARDM, RASSF1M, THBS1, and TP73 associated significantly with worse OS and DFS in TNBC cohort. Meanwhile, CCNA1 and CDH1 hypermethylation demonstrated significant associations with poor DFS but did not show significant relationships with OS in TNBC patients. PTGS2 and TNFRSF10C methylation were associated with better DFS and OS rates in TNBC patients. On multivariate Cox regression, CCND2 and PTEN hypermethylation were independent predictors of DFS in the overall BC patients. The hypermethylation of BRCA1 and GSTP were independent predictors of DFS, while PTEN hypermethylation was an independent predictor of OS in the TNBC cohort. The identification of hypermethylated genes, such as BRCA1, CCND2, CDH1, ESR1, GSTP, RASSF1, SLIT2, MGMT, and PTEN may serve as potential biomarkers or therapeutic targets for TNBC.

Policy Complexity Suppresses Dopamine Responses

Limits on information processing capacity impose limits on task performance. We show that male and female mice achieve performance on a perceptual decision task that is near-optimal given their capacity limits, as measured by policy complexity (the mutual information between states and actions). This behavioral profile could be achieved by reinforcement learning with a penalty on high complexity policies, realized through modulation of dopaminergic learning signals. In support of this hypothesis, we find that policy complexity suppresses midbrain dopamine responses to reward outcomes. Furthermore, neural and behavioral reward sensitivity were positively correlated across sessions. Our results suggest that policy compression shapes basic mechanisms of reinforcement learning in the brain.

Risk factors and predictive modeling in a US population with sarcopenia: a propensity score cohort study

Topic modeling analysis of the Allen Human Brain Atlas

Cortical Encoding of Spatial Structure and Semantic Content in 3D Natural Scenes

Our visual system enables us to effortlessly navigate and recognize real-world visual environments. Functional magnetic resonance imaging (fMRI) studies suggest a network of scene-responsive cortical visual areas, but much less is known about the temporal order in which different scene properties are analyzed by the human visual system. In this study, we selected a set of 36 full-color natural scenes that varied in spatial structure and semantic content that our male and female human participants viewed both in 2D and 3D while we recorded magnetoencephalography (MEG) data. MEG enables tracking of cortical activity in humans at millisecond timescale. We compared the representational geometry in the MEG responses with predictions based on the scene stimuli using the representational similarity analysis framework. The representational structure first reflected the spatial structure in the scenes in time window 90–125 ms, followed by the semantic content in time window 140–175 ms after stimulus onset. The 3D stereoscopic viewing of the scenes affected the responses relatively late, from ∼140 ms from stimulus onset. Taken together, our results indicate that the human visual system rapidly encodes a scene's spatial structure and suggest that this information is based on monocular instead of binocular depth cues.

Uterine and body temperament in women with and without polycystic ovary syndrome: a case-control study

Retrieval of an Ethanol-Conditioned Taste Aversion Promotes GABAergic Plasticity in the Anterior Insular Cortex

Blunted sensitivity to ethanol’s aversive effects can increase motivation to consume ethanol; yet, the neurobiological circuits responsible for encoding these aversive properties are not fully understood. Plasticity in cells projecting from the anterior insular cortex (aIC) to the basolateral amygdala (BLA) is critical for taste aversion learning and retrieval, suggesting this circuit’s potential involvement in modulating the aversive properties of ethanol. Here, we tested the hypothesis that GABAergic currents onto aIC→BLA projections would be facilitated as a consequence of retrieval of an ethanol-conditioned taste aversion (CTA). Consistent with this hypothesis, frequency of mIPSCs was increased 1 h following retrieval of an ethanol-CTA across cell layers in aIC→BLA projection neurons. This increase in GABAergic plasticity occurred in a circuit-specific, time-limited, and ethanol-CTA retrieval-dependent manner. Additionally, local inhibitory inputs onto layer 2/3 aIC→BLA projection neurons were greater in number and strength following ethanol-CTA. Finally, DREADD-mediated inhibition of aIC parvalbumin-expressing cells blunted the retrieval of ethanol-CTA in male, but not female, mice. Collectively, this work implicates a circuit-specific and memory retrieval-dependent increase in GABAergic tone following retrieval of an ethanol-CTA, thereby advancing our understanding of how the aversive effects of ethanol are encoded in the brain.

N-benzyl-N-methyldecane-1-amine derived from garlic ameliorates UVB-induced photoaging in HaCaT cells and SKH-1 hairless mice

miR-16-5p, miR-21-5p, and miR-155-5p in circulating vesicles as psoriasis biomarkers

Abstract Psoriasis is a chronic skin disorder marked by fast skin cell growth, leading to thick, red, scaly patches. MicroRNAs are small, non-coding RNA molecules that play a crucial role in post-transcriptional gene regulation. This study investigates miR-16-5p, miR-21-5p, and miR-155-5p expression in psoriasis EVs and assesses their biomarker potential, exploring associated target genes and pathways via bioinformatics. A cross-sectional and case-control study included 40 psoriasis patients, with blood samples collected in EDTA tubes. RNA from extracellular vesicles was isolated using Qiagen kits, and miRNAs were quantified via RT-qPCR. Bioinformatic analysis predicted target genes using databases like miRDB and TargetScan. Gene expression data from GEO was processed, and differentially expressed genes were identified. This study assessed miR-16-5p, miR-21-5p, and miR-155-5p expression in psoriasis patients’ circulating vesicles versus controls, finding significantly lower levels in patients. ROC analysis confirmed their diagnostic potential. A positive correlation of miR-16-5p with the Psoriasis Area Severity Index (PASI) suggests severity marker potential. Bioinformatics identified 378 common dysregulated genes, revealing key pathways and gene interactions in psoriasis. A heat map confirmed miRNA-mediated gene suppression in the disease. This study identifies miR-16-5p, miR-21-5p, and miR-155-5p as potential psoriasis biomarkers, in addition to finding significant gene interactions and pathways involved in psoriasis pathophysiology.

Cortex-Specific <i>Tmem169</i> Deficiency Induces Defects in Cortical Neuron Development and Autism-Like Behaviors in Mice

The development of the nervous system is a complex process, with many challenging scientific questions yet to be resolved. Disruptions in brain development are strongly associated with neurodevelopmental disorders, such as intellectual disability and autism. While the genetic basis of autism is well established, the precise pathological mechanisms remain unclear. Variations on chromosome 2q have been linked to autism, yet the specific genes responsible for the disorder have not been identified. This study investigates the role of the transmembrane protein 169 ( TMEM169 ) gene, located on human chromosome 2q35, which has not been previously characterized. Our findings indicate that Tmem169 is highly expressed in the nervous system, and its deletion in the male mouse dorsal forebrain results in neuronal morphological abnormalities and synaptic dysfunction. Notably, Tmem169 -deficient mice, irrespective of sex, display behavioral traits resembling those observed in individuals with autism. These results suggest that Tmem169 interacts with several key neuronal proteins, many of which are implicated in neurodevelopmental diseases. Furthermore, we demonstrate that Tmem169 promotes neuronal process and synapse development through its interaction with Shank3.