Evaluation of pharmacogenomic information in drug labeling: a case study from Jordan.

Background: Pharmacogenomics (PGx) examines how genetic variations influence individual responses to medications, enabling more precise drug and dose selection. Drug labeling communicates PGx information to healthcare providers. However, in many countries, including Jordan, PGx integration into clinical practice remains limited.

Coagulation and Fibrinolysis Dysregulation in β-Thalassemia Major: Potential Impact of Splenectomy and Medications on Thrombotic Risk.

ObjectiveThe dysregulation of clotting factors in β-thalassemia major is not fully understood. This case-control study examines the impact of splenectomy and medications on clotting factor dysregulation.MethodsLab.

Prevalence of neurological manifestation in familial mediterranean fever patients: systematic review & meta-analysis.

Background: Familial Mediterranean Fever (FMF) is the most common autoinflammatory disease worldwide, characterized by recurrent attacks of fever and polyserositis. Several studies have reported FMF cases with neurological conditions. As well as multiple neurological diseases have been reported in multiple studies in patients with FMF.

Using Virtual Therapy for Lymphedema and Disability Post-Mastectomy: Meta-Analysis with Systematic Review.

Introduction: This review and meta-analysis aimed to examine the effects of virtual reality (VR) therapy on lymphedema and disability management in post-mastectomy breast cancer patients, following PRISMA protocol.

Methods: Databases were extensively searched, including Wiley Online Library, ProQuest, MEDLINE, CINAHL, Google Scholar, Science Direct, and SAGE Journals, covering studies from January 2016 to August 2024. This review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

Investigating the role of ketogenic diet and high-dose vitamin C in modulating doxorubicin toxicity in a murine breast cancer model.

In this study, we investigated the effectiveness of combining the ketogenic diet (KD) with high-dose vitamin C (VitC) as adjuvant nutritional therapy to mitigate doxorubicin (DOX) toxicity, with a focus on cardiotoxicity, while enhancing DOX's anti-cancer efficacy. Syngrafts were generated by implanting EMT6 cells into BALB/c mice. Once tumors had become palpable, the mice were divided into five experimental groups.

Developing machine learning frameworks to predict mechanical properties of ultra-high performance concrete mixed with various industrial byproducts.

This research investigates the predictive modeling of ultra-high-performance concrete (UHPC) incorporating industrial byproducts, focusing on compressive strength (Fc), flexural strength (Ff), workability (Slump), and porosity. Various machine learning models, including Kstar, M5Rules, ElasticNet, XNV, and Decision Table (DT), were evaluated to determine the most accurate predictions for each property. The findings indicate that Kstar outperformed other models across all categories, demonstrating the highest accuracy and lowest errors in predicting Fc, Ff, Slump, and Porosity.

Prevalence and Predictors of Stress Among Medical Students in Jordan: A Multi-centric Cross-sectional Study.

Introduction: Studying medicine is a stressful process due to its long duration, rigorous requirements, and extensive curricula. This fact alerts us to the detrimental effects it has on medical students' mental and physical health, as well as their cognitive and learning functions and ultimately the general patient care provided to the public.

Aim: We aimed to identify the prevalence of stress, its associated factors, and predictors among medical students in Jordan.

Poltergeist-Like 2 (PLL2)-dependent activation of herbivore defence distinguishes systemin from other immune signalling pathways.

Systemin, the first signalling peptide identified in plants, mediates induced resistance against insect herbivores and necrotrophic pathogens in tomato. Initially, systemin was conceived as a hormone-like, long-distance messenger that triggers systemic defence responses far from the site of insect attack. It was later found to rather act as a phytocytokine, amplifying the local wound response for the production of downstream signals that activate defence gene expression in distant tissues.

Unveiling etiology and mortality risks in community-acquired pneumonia: A machine learning approach.

Community-acquired pneumonia (CAP) is associated with high mortality, and accurate diagnosis and risk prediction are essential for improving patient outcomes. Traditional diagnostic methods have limitations, prompting the use of machine learning (ML) to enhance diagnostic precision and treatment strategies. This study aims to develop ML models to predict CAP etiology and mortality using clinical data to enable early intervention.

Exploring the antimicrobial potential of against urinary tract infection isolates in Amman, Jordan.

Background And Objectives: The public health concern about urinary tract infections (UTIs) exists due to mounting antibiotic resistance rates. The antimicrobial properties of create strong opportunities as an alternative therapeutic option. This study evaluated the antibacterial properties along with anti-biofilm behavior of rosemary extract against typical uropathogens.

The Modulatory Effects of Statins, Vitamin E, and Moringa Oleifera Extract on CD3 Expression in Ribociclib-Induced Hepatotoxicity in Rats.

Background: The use of Ribociclib leads to hepatotoxicity that may be evaluated by the presence of infiltrated CD3 cells.

Objective: To evaluate the expression level of CD3 in the liver tissue of the control group and other groups exposed to Ribociclib and groups received Ribociclib and other treatments including vitamin E, statin, and and Moringa Olifera.

Methods: This experiment utilized fifty adult male albino rats (9 - 10 weeks old).

Corrigendum: Microclimate shapes the phylosymbiosis of rodent gut microbiota in Jordan's Great Rift Valley.

[This corrects the article DOI: 10.3389/fmicb.2023.

Novel Anticancer Triple Formula Based on Aptamer-Conjugated PEGylated Nanoliposomes.

BackgroundCancer remains a leading cause of death worldwide, necessitating the development of affordable and innovative therapies to reduce its human and economic burden.ObjectivesIn this study, we aimed to develop a synergistic anticancer formula encapsulated in nanoliposomes to enhance efficacy and minimize side effects. Additionally, we explored the effect of aptamer conjugation on the efficacy and stability of the formula.

Impact of industrial activities on physicochemical properties, mineralogical, and elemental composition in sediments of Puliyanthangal lake, Ranipet, India.

This study investigates the elemental composition, mineral distribution, and surface morphology of lake sediments from Puliyanthangal Lake, located in the Ranipet industrial area of Tamil Nadu, India. A variety of analytical techniques were employed, including Fourier-transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), energy-dispersive X-ray spectroscopy (EDS), and scanning electron microscopy (SEM). Granulometric distribution (% of sand, silt, and clay), alongside pH and electrical conductivity (EC) of sediment samples were assessed to evaluate sediment quality.

A multicenter study on the perspectives of jordanian medical students on patient safety.

Patient safety is intended to prevent harm or to halt accidents and negative side effects that patients may experience because of various treatment options. The aim of this study is to monitor the responses of medical students towards patient safety issues, introduce the term and practice to medical students, and fill the gap between clinical education and quality control. Medical therapy breakthroughs have resulted in an increase in side effects and hazards.

Deep learning framework for hourly air pollutants forecasting using encoding cyclical features across multiple monitoring sites in Beijing.

Environmental managers and citizens alike are concerned with air quality. Early warning systems for air pollution are essential to prevent health issues and implement effective prevention strategies. This paper proposes a comprehensive, reliable system with air quality prediction and assessment modules for China's air pollution.

Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete.

This research presents a novel data-driven framework for predicting the mechanical properties of waste glass aggregate concrete using six advanced metaheuristic optimization algorithms: Bat Algorithm (Bat), Cuckoo Search Algorithm (Cuckoo), Elephant Herding Optimization (Elephant), Firefly Algorithm (Firefly), Rhinoceros Optimization Algorithm (Rhino), and Gray Wolf Optimizer (Wolf). The study evaluates these models based on their ability to predict compressive strength (Fc), tensile strength (Ft), density, and slump using key statistical performance indicators such as SSE, MAE, MSE, RMSE, accuracy, R, and KGE. Sensitivity analysis was conducted using Hoffman and Gardener's method as well as the SHAP technique to determine the most influential parameter in the prediction process.

A National Cross-sectional Study on Internet Addiction and Musculoskeletal Pain Among Jordanian Medical Students.

The rise in internet use among students is a growing concern about its impact on physical health. This study aimed to assess the prevalence of internet addiction and its association with musculoskeletal pain among medical students in Jordan. A national cross-sectional study was conducted from February to March 2025 across undergraduate medical students in six Jordanian universities, using an online questionnaire that included three sections: demographics, the Internet Addiction Test (IAT), and the Nordic Musculoskeletal Questionnaire-Extended (NMQ-E).

Determining the level of knowledge and consumption of probiotics and prebiotics among athletes in Jordan.

Interest in probiotics and prebiotics in sports nutrition is growing, but research on Jordanian athletes remains limited. While gut microbiota influences athletic performance, little is known about athletes' understanding and use of probiotic- and prebiotic-rich foods in this region. This exploratory study investigates the knowledge, dietary habits, and correlations with gastrointestinal (GI) problems among Jordanian athletes to inform future research and interventions.

Effect of wheat germ as a partial meat substitute on the nutritional and qualitative properties of beef burgers.

The use of healthy ingredients in meat-based products is gaining popularity. The goal of this study was to use plant proteins to partially replace meat in beef burger compositions. In a lab, ground beef burgers were made with 4%, 9%, and 14% wheat germ flour.

Exploring Carboxamide Derivatives as Promising Anticancer Agents: Design, In Vitro Evaluation, and Mechanistic Insights.

Carboxamide derivatives are a promising class of compounds in anticancer drug discovery, owing to their ability to interact with multiple oncogenic targets and their favorable pharmacological profiles. In this study, we report the design, synthesis, and biological evaluation of a series of -substituted 1-indole-2-carboxamides as potential anticancer agents. The synthesized compounds were assessed for antiproliferative activity using the MTT assay against MCF-7 (breast cancer), K-562 (leukemia), and HCT-116 (colon cancer) cell lines, with normal human dermal fibroblasts included as a non-cancerous control.

Maternal-fetal and community-based transmission of HIV: assessing reproductive women's knowledge in Jordan.

HIV/AIDS incidence has been increasing in the Middle East region during last years, with low research on Jordanian populations knowledge in the transmission methods of it. This study examined the knowledge of Jordanian women aged 15-49 in HIV transmission methods using data from the 2017-18 Jordan Demographic and Health Survey with a sample of 14,689 women. Multiple logistic regression model was used to determine the factors predicting higher knowledge.

Applications of machine learning and multi-objective optimization in agricultural waste management: A techno-economic study of hydrogen production from olive waste via combined air-steam gasification.

This study investigates the potential of olive cake, a widely available agricultural residue in Jordan, as a sustainable biomass feedstock for hydrogen production via advanced gasification techniques. The goal is to optimize hydrogen yield by employing a combined steam-air gasification method, addressing challenges such as high ash and lignin content, variable moisture, and complex chemical composition Advanced optimization techniques, including machine learning models (Extreme Gradient Boosting, XGBoost) and the modified fire hawk optimizer, are used to optimize key gasification parameters: steam-to-biomass ratio, temperature, pressure, and air-to-biomass ratio. The gasification process is modelled by focusing on key thermochemical stages like decomposition, pyrolysis, combustion, and reduction.

Spatial mapping of the conformational and mechanical properties of bacterial surface biopolymers.

Forces acting between an atomic force microscopy silicon nitride cantilever and the bacterial surface biopolymers of Escherichia coli or Pseudomonas putida were spatially probed in water. The interactions were fitted to a model of steric repulsion to estimate the bacterial surface biopolymer brush length and grafting density. The forces were further fitted to a Hertz model of contact mechanics modified by Sneddon et al.

Transcriptome analysis of historic olives reveals stress-specific biomarkers.

Introduction: Water scarcity and soil salinization are increasingly becoming limiting factors in food production, including olives, a major fruit crop in several parts of the world. Investigating historical olives, which are the last resort for genetic resources, is essential due to their natural resilience to drought and salinity, making them valuable for breeding stress-tolerant cultivars and ensuring sustainable olive production.

Methods: In this study, four historic olive cultivars ('Nabali', 'Mehras', 'Frantoio', and 'Manzanillo') were investigated under both drought and salinity stresses.