Binding of a Drug (Colchicine) to L-Asparaginase Enzyme Using Multispectroscopic, Thermodynamics, and Simulation Studies: Possible Implication in Acute Lymphoblastic Leukemia Treatment.

The research aims to elucidate how drug interactions affect the activity of L-asparaginase (L-ASNase), an essential enzyme in cancer treatment, especially for acute lymphoblastic leukemia (ALL). Understanding these interactions is crucial for optimizing treatment effectiveness and reducing adverse effects. This study explores the intricate molecular interactions and structural dynamics of L-ASNase upon binding with colchicine.

Translating molecular insights into clinical success: alkaloid-based therapies for leukemia.

Alkaloids, a diverse class of naturally occurring compounds, have shown significant potential in the treatment of leukemia by targeting key molecular pathways and cellular mechanisms. This review discusses several potent alkaloids, such as homoharringtonine, chaetominine, matrine, and jerantinine B, which induce apoptosis, cell cycle arrest, and autophagy and inhibit signaling pathways including PI3K/Akt/mTOR, MAPK, and NF-κB. For instance, homoharringtonine induces apoptosis in acute myeloid leukemia (AML) cells via the SP1/TET1/5hmC/FLT3/MYC axis, while chaetominine enhances chemosensitivity by inhibiting the PI3K/Akt/Nrf2 pathway.

Polyphenols in wound healing: unlocking prospects with clinical applications.

Wound healing is a multifaceted, complex process that factors like aging, metabolic diseases, and infections may influence. The potentiality of polyphenols, natural compounds, has shown anti-inflammatory and antimicrobial properties in promoting wound healing and their potential applications in wound management. The studies reviewed indicate that polyphenols have multiple mechanisms that promote wound healing.

Unraveling the Ferroptosis-inducing Potential of Methanol Leaves Extract of Prosopis Juliflora Via Downregulation of SLC7A11 and GPX4 mRNA Expression in A549 Lung Cancer Cells.

Introduction: Prosopis juliflora has been employed in many traditional treatments. As evidenced by our earlier research, Prosopis juliflora leaf methanol extract (PJME) has a promising future in the fight against lung cancer. It may also be used in conjunction with other treatments to effectively manage lung cancer.

The Effects of Different Nursing Positions During Preterm Infants Feeding on Gastric Residual Volume and Emptying Rate: A Systematic Review and Network Meta-Analysis.

Background And Objectives: Preterm infants need nutritional support due to their premature digestive system, undeveloped anatomy and functional limitations. Neonatal positioning in the proper position is one of the nurses' main principles that affect the residual volume. We performed our systematic review and network meta-analysis to determine the best feeding position for preterm infants in reducing gastric residual volume and increasing the rate of gastric emptying.

The impact of armed conflict on nursing students' self-esteem: a cross-sectional comparative study.

Armed conflict is a prevalent global issue that affects both the socioeconomic aspects of society and has profound psychological consequences for those directly involved. This cross-sectional comparative study explored the impact of armed conflict on the self-esteem of nursing students in Sudan and Saudi Arabia. In total, 308 nursing students provided data.

siRNA-based strategies to combat drug resistance in gastric cancer.

Chemotherapy is a key treatment option for gastric cancer, but over 50% of patients develop either inherent or acquired resistance to these drugs, resulting in a 5-year survival rate of only about 20%. The primary treatment for advanced gastric cancer typically involves chemotherapy based on platinum or fluorouracil. Several factors can contribute to platinum resistance, including decreased drug uptake, increased drug efflux or metabolism, enhanced DNA repair, activation of pro-survival pathways, and inhibition of pro-apoptotic pathways.

Multitargeted docking approach reveals droxidopa against DNA replication and repair-related protein of cervical cancer.

Cervical cancer begins in the cells lining the cervix and is caused by persistent infection with certain types of human papillomavirus (HPV). Initially, it has no symptoms, and later it causes pelvic pain, abnormal vaginal bleeding, and pain during intercourse. It is the fourth-ranked cancer among women, and many women die from cervical cancer every year, particularly in low-income countries and the majority could be prevented with early detection and treatment.

Evaluation of the Impact of Artificial Intelligence on Clinical Practice of Radiology in Saudi Arabia.

Background: Artificial Intelligence (AI) is becoming integral to the health sector, particularly radiology, because it enhances diagnostic accuracy and optimizes patient care. This study aims to assess the awareness and acceptance of AI among radiology professionals in Saudi Arabia, identifying the educational and training needs to bridge knowledge gaps and enhance AI-related competencies.

Methods: This cross-sectional observational study surveyed radiology professionals across various hospitals in Saudi Arabia.

Assessing Patient Use of and Attitudes toward eHealth Services for Communication with Primary Care Centers in Saudi Arabia and Factors Affecting Usage.

Background: This study investigates patients' use of eHealth services, their awareness of the availability of these services, and their intention to use them in primary care. It also examines patient characteristics and factors that influence the use of these services.

Methods: A cross-sectional design using questionnaires was conducted.

Frequency of ABO and Rh Blood Groups Among Blood Donors in the Hail Region of Saudi Arabia.

Objective: Proper blood bank inventory management and safe, efficient blood transfusion services require a thorough understanding of ABO and Rh(D) blood group distributions in specific populations. The objective of this research was to evaluate the distribution of ABO and Rh blood types among different ethnic blood donors in the Hail region of Saudi Arabia and compare the results to those of other populations.

Methodology: Data from 3,166 blood donors were analyzed retrospectively.

A besyian regularisation neural network approach for hepatitis B virus spread prediction and immune system therapy model.

The primary aim of the article is to analyze the response of the human immune system when it encounters the hepatitis B virus. This is done using a mathematical system of differential equations. The differential equation system has six components, likely representing various aspects of the immune response or virus dynamics.

Physical Exercise for Healthy Older Adults and Those with Frailty: What Exercise Is Best and Is There a Difference? A Systematic Review and Meta-Analyses.

Methods: All English studies published after 1989 with a controlled design, investigating    65 years and over were considered if the study design compared PE to a nonexercise control group. Health-related outcomes included physical, cognitive, and psychological function. Studies that investigated cardiorespiratory disease and used designs like systematic review were excluded.

Chitosan-Peptide Composites for Tissue Engineering Applications: Advances in Treatment Strategies.

One of the most well-known instances of an interdisciplinary subject is tissue engineering, where experts from many backgrounds collaborate to address important health issues and improve people's quality of life. Many researchers are interested in using chitosan and its derivatives as an alternative to fabricating scaffold engineering and skin grafts in tissue because of its natural abundance, affordability, biodegradability, biocompatibility, and wound healing properties. Nanomaterials based on peptides can provide cells with the essential biological cues required to promote cellular adhesion and are easily fabricated.

A Unified Pipeline for Simultaneous Brain Tumor Classification and Segmentation Using Fine-Tuned CNN and Residual UNet Architecture.

In this paper, I present a comprehensive pipeline integrating a Fine-Tuned Convolutional Neural Network (FT-CNN) and a Residual-UNet (RUNet) architecture for the automated analysis of MRI brain scans. The proposed system addresses the dual challenges of brain tumor classification and segmentation, which are crucial tasks in medical image analysis for precise diagnosis and treatment planning. Initially, the pipeline preprocesses the FigShare brain MRI image dataset, comprising 3064 images, by normalizing and resizing them to achieve uniformity and compatibility with the model.

Optimization, molecular dynamics and quantum parameters simulations of rhizome as a green corrosion inhibitor.

This study combines experimental and theoretical approaches to investigate ginger root extract (GRE) as an eco-friendly corrosion inhibitor for mild steel in acidic environments at temperatures ranging from 303 to 333 K. Experimental techniques, including weight loss measurements, were used to assess the inhibiting performance and adsorption behavior of GRE, while GC-MS, FT-IR, and UV-visible spectrophotometric methods provided further characterization. Results indicated that the inhibition efficiency of GRE increased with higher concentrations and decreased with temperature, highlighting its potential to effectively prevent corrosion in HSO medium.

ASCHOPLEX: A generalizable approach for the automatic segmentation of choroid plexus.

Background: The Choroid Plexus (ChP) plays a vital role in brain homeostasis, serving as part of the Blood-Cerebrospinal Fluid Barrier, contributing to brain clearance pathways and being the main source of cerebrospinal fluid. Since the involvement of ChP in neurological and psychiatric disorders is not entirely established and currently under investigation, accurate and reproducible segmentation of this brain structure on large cohorts remains challenging. This paper presents ASCHOPLEX, a deep-learning tool for the automated segmentation of human ChP from structural MRI data that integrates existing software architectures like 3D UNet, UNETR, and DynUNet to deliver accurate ChP volume estimates.

Isochromophilones H-K, the new bioactive azaphilone derivatives isolated from fungal strain Diaporthe perseae associated with Pongamia pinnata plant.

The phytochemical study of the Diaporthe species has revealed significant classes of mycotoxins and phomopsins. Dihydroanthracenone derivatives, chromanones and isochromophilones have also been isolated from Diaporthe sp. These findings led us to explore the Diaporthe perseae for phytochemical analysis that resulted in the isolation of four new compounds designated as isochromophilones H-K (1-4), alongside three previously identified metabolites.