Evaluation of the anti-spasmodic activity of essential oils of fruits and its main chemical component "perillaldehyde" on intestinal smooth muscle contractions of rodents: and approaches.

Ethnopharmacological Relevance: In Moroccan traditional medicine, plants from the Apiaceae family are widely utilized in folk medicine to treat various diseases associated with the digestive system. plays an important role as an antispasmodic that has been traditionally used, especially to treat digestive tract diseases in children.

Aim Of The Study: The aim of this research was to verify the traditional use by assessing the relaxant and spasmolytic activities of essential oil (ALEO) and then comparing them to the effects and potency of the major constituent of ALEO, which is perillaldehyde.

Targeted deletion of the pancreatic β-cell oxytocin receptor and its effects on metabolic regulation and β-cell health.

The neuropeptide oxytocin (OXT) and its receptor (OXTR) have been shown to play an important role in glucose metabolism, and pancreatic islets express this ligand and receptor. In the current study, OXTR expression was identified in α-, β-, and δ-cells of the pancreatic islet by RNA hybridization, and OXT protein expression was observed only in β-cells. In order to examine the contribution of islet OXT/OXTR in glycemic control and islet β-cell heath, we developed a β-cell specific OXTR knock-out (β-KO) mouse.

Association between night eating frequency and thyroid function and sensitivity: a cross-sectional study from the NHANES database.

Thyroid function is closely linked to circadian rhythms, but the relationship between the frequency of night eating and thyroid function remains unclear. Our study aimed to investigate the association between night eating frequency and its impact on thyroid function and sensitivity. This study included 6093 participants from the U.

The role of multimodality imaging in diabetic cardiomyopathy: a brief review.

Diabetic cardiomyopathy (DMCM), defined as left ventricular dysfunction in the setting of diabetes mellitus without hypertension, coronary artery disease or valvular heart disease, is a well-recognized entity whose prevalence is certainly predicted to increase alongside the rising incidence and prevalence of diabetes mellitus. The pathophysiology of DMCM stems from hyperglycemia and insulin resistance, resulting in oxidative stress, inflammation, cardiomyocyte death, and fibrosis. These perturbations lead to left ventricular hypertrophy with associated impaired relaxation early in the course of the disease, and eventually culminating in combined systolic and diastolic heart failure.

Enhancement on selenium volatilization for phytoremediation: role of plant and soil microbe interaction.

This study aimed at quantifying the potential effects of plant and soil microbial interaction on selenium (Se) volatilization, with the specific objectives of identifying soil bacteria associated with rabbitfoot grass () and demonstrating the enhancement of Se volatilization in the soil-Indian mustard () system through inoculation of the soil with the identified best Se-volatilizing bacterial strain. Soil bacteria were isolated from topsoil and rhizosphere soils of rabbitfoot grass, and the bacterial colonies were characterized via PCR-DGGE and DGGE band analysis prior to their identification using 16S rDNA sequencing technique. produced over 500-fold more volatile Se in a culture medium treated with 15 µg Se/mL (equal mixture of SeO , SeO and selenomethionine) than any of the other eight identified bacterial strains.

Examining a brief web and longitudinal app-based intervention [Wysa] for mental health support in Singapore during the COVID-19 pandemic: mixed-methods retrospective observational study.

The COVID-19 pandemic in Singapore led to limited access to mental health services, resulting in increased distress among the population. This study explores the potential benefits of offering a digital mental health intervention (DMHI), Wysa, as a brief and longitudinal intervention as part of the mindline.sg initiative launched by the MOH Office for Healthcare Transformation in Singapore.

The current state of wearable device use in Parkinson's disease: a survey of individuals with Parkinson's.

Background: Interest in wearable device use in Parkinson's disease (PD) has grown rapidly with many compelling studies supporting diagnostic and therapeutic uses. Concurrently, consumer devices have proliferated and their role in health and wellness has expanded. However, incorporation of consumer and medical wearable devices into medical care has in our experience been limited.

Prediction of preoperative peritoneal cancer index for pseudomyxoma peritonei by multiple linear regression analysis.

Background: The aim of the present study was to establish a predictive model to predict the peritoneal cancer index (PCI) preoperatively in patients with pseudomyxoma peritonei (PMP).

Methods: A total of 372 PMP patients were consecutively included from a prospective follow-up database between 1 June 2013 and 1 June 2023. Nine potential variables, namely, gender, age, Barthel Index (BAI), hemoglobin (Hb), albumin (Alb), D-dimer, carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA 125), and CA 19-9, were estimated using multiple linear regression (MLR) analysis with a stepwise selection procedure.

The Southern Center for Maternal Health Equity (SCMHE): a multisector multifaceted community-based approach to reduce disparities in maternal morbidity and mortality in the Gulf South.

Introduction: The maternal mortality crisis in the United States disproportionately affects women who are Black, especially those living in the Gulf South. These disparities result from a confluence of healthcare, policy, and social factors that systematically place Black women at greater risk of maternal morbidities and mortality. This study protocol describes the Southern Center for Maternal Health Equity (SCMHE), a research center funded by the National Institutes of Health in 2023 to reduce preventable causes of maternal morbidity and mortality while improving health equity.

Projecting temperature-related dengue burden in the Philippines under various socioeconomic pathway scenarios.

Introduction: As climate change advances, the looming threat of dengue fever, intricately tied to rising temperatures, intensifies, posing a substantial and enduring public health challenge in the Philippines. This study aims to investigate the historical and projected excess dengue disease burden attributable to temperature to help inform climate change policies, and guide resource allocation for strategic climate change and dengue disease interventions.

Methods: The study utilized established temperature-dengue risk functions to estimate the historical dengue burden attributable to increased temperatures.

Physical activity and anxiety during the COVID-19 pandemic in Tanzania: insights for public health policy in low-income contexts.

Background: The COVID-19 pandemic heightened anxiety levels globally, disproportionately affecting low-and middle-income countries (LMICs). Physical activity (PA) has shown potential to alleviate mental health challenges, including anxiety. This study explores the relationship between PA and anxiety among Tanzanian adults during the pandemic, examining whether self-reported health status moderates this relationship and identifying demographic variations.

For Catching-by-Polymerization Oligo Purification: Scalable Synthesis of the Precursors to the Polymerizable Tagging Phosphoramidites.

The catching-by-polymerization (CBP) oligodeoxynucleotide (oligo or ODN) purification method has been demonstrated suitable for large-scale, parallel, and long oligo purification. The authenticity of the oligos has been verified via DNA sequencing, and gene construction and expression. A remaining obstacle to the practical utility of the CBP method is affordable polymerizable tagging phosphoramidites (PTPs) that are needed for the method.

Multi-modal prediction of extracorporeal support-a resource intensive therapy, utilizing a large national database.

Objective: Extracorporeal membrane oxygenation (ECMO) is among the most resource-intensive therapies in critical care. The COVID-19 pandemic highlighted the lack of ECMO resource allocation tools. We aimed to develop a continuous ECMO risk prediction model to enhance patient triage and resource allocation.

Trustworthiness of a machine learning early warning model in medical and surgical inpatients.

Objectives: In the general hospital wards, machine learning (ML)-based early warning systems (EWSs) can identify patients at risk of deterioration to facilitate rescue interventions. We assess subpopulation performance of a ML-based EWS on medical and surgical adult patients admitted to general hospital wards.

Materials And Methods: We assessed the scores of an EWS integrated into the electronic health record and calculated every 15 minutes to predict a composite adverse event (AE): all-cause mortality, transfer to intensive care, cardiac arrest, or rapid response team evaluation.

The role of zinc in the premature brain: functions, outcomes and future research perspectives.

Zinc (Zn) is one of the most prevalent and essential micronutrients, found in 10% of all human proteins and involved in numerous cellular enzymatic pathways. Zn is important in the neonatal brain, due to its involvement in neurotransmission, synaptic plasticity, and neural signaling. It acts as a neuronal modulator and is highly concentrated in certain brain regions, such as the hippocampus, and the retina.

Diagnostic challenges of long COVID in children: a survey of pediatric health care providers' preferences and practices.

Introduction: Given the challenges in diagnosing children with long COVID, we sought to explore diagnostic practices and preferences among clinicians.

Methods: A ten-question survey assessed pediatric providers' clinical decision making for identifying and evaluating long COVID in children. Of the 120 survey respondents, 84 (70%) were physicians, 31 (26%) nurse practitioners, and 5 (4%) physician assistants.

Investigating the added value of incorporating mammographic density to an integrated breast cancer risk model with questionnaire-based risk factors and polygenic risk score.

Introduction Incorporation of mammographic density to breast cancer risk models could improve risk stratification to tailor screening and prevention strategies according to risk. Robust evaluation of the value of adding mammographic density to models with comprehensive information on questionnaire-based risk factors and polygenic risk score is needed to determine its effectiveness in improving risk stratification of such models. Methods We used the Individualized Coherent Absolute Risk Estimator (iCARE) tool for risk model building and validation to incorporate density to a previously validated literature-based model with questionnaire-based risk factors and a 313-variant polygenic risk score (PRS).

Material Hardship, Forced Displacement, and Negative Health Outcomes Among Unhoused People Who Use Drugs in Los Angeles, California and Denver, Colorado: A Latent Class Analysis.

Homelessness is a growing concern in the United States, especially among people who use drugs (PWUD). The degree of material hardship among this population may be linked to worse health outcomes. PWUD experiencing homelessness in urban areas are increasingly subjected to policies and social treatment, such as forced displacement, which may worsen material hardship.

Using structural equation modeling to assess pathways between structural stigma and tobacco use among sexual and gender minority young adults living in the United States.

Sexual and gender minority young adult (SGM YA) populations use tobacco at higher rates than their non-SGM YA peers. Prior studies have identified significant correlations between interpersonal stigma and tobacco use, yet structural stigma may also influence tobacco use among SGM YA. This study aimed to assess the indirect effects of structural stigma on current tobacco use among SGM YA and non-SGM YA via depletion of economic resources, interpersonal discrimination, and perceived psychological stress.

Inner engineering is associated with perceived improvements in relationship quality, interpersonal connections, and interpersonal compassion.

Objectives: Interpersonal relationships are a cornerstone of wellbeing. Mindfulness-based practices have been shown to improve relationship quality and reduce perceived stress. Inner Engineering (IE) is a transformative program that includes meditative and yogic practices associated with improvements in mindfulness and wellbeing.

The first comorbidity networks in companion dogs in the Dog Aging Project.

Comorbidity and its association with age are of great interest in geroscience. However, there are few model organisms that are well-suited to study comorbidities that will have high relevance to humans. In this light, we turn our attention to the companion dog.

Integrative analysis of angiogenic signaling in obesity: capillary features and VEGF binding kinetics.

Obesity is a global health crisis, with its prevalence particularly severe in the United States, where over 42% of adults are classified as obese. Obesity is driven by complex molecular and tissue-level mechanisms that remain poorly understood. Among these, angiogenesis-primarily mediated by vascular endothelial growth factor (VEGF-A)-is critical for adipose tissue expansion but presents unique challenges for therapeutic targeting due to its intricate regulation.