Biomarker discovery and development of prognostic prediction model using metabolomic panel in breast cancer patients: a hybrid methodology integrating machine learning and explainable artificial intelligence.

Background: Breast cancer (BC) is a significant cause of morbidity and mortality in women. Although the important role of metabolism in the molecular pathogenesis of BC is known, there is still a need for robust metabolomic biomarkers and predictive models that will enable the detection and prognosis of BC. This study aims to identify targeted metabolomic biomarker candidates based on explainable artificial intelligence (XAI) for the specific detection of BC.

Non-viral gene therapy for Leber's congenital amaurosis: progress and possibilities.

Leber's congenital amaurosis (LCA) represents a set of rare and pervasive hereditary conditions of the retina that cause severe vision loss starting in early childhood. Targeted treatment intervention has become possible thanks to recent advances in understanding LCA genetic basis. While viral vectors have shown efficacy in gene delivery, they present challenges related to safety, low cargo capacity, and the potential for random genomic integration.

Improved hydrogen production performance of an S-scheme NbO/LaO photocatalyst.

Addressing the intricate challenge of simultaneously improving the separation of photoinduced electron-hole pairs and enhancing redox potentials to produce hydrogen fuel demands the rational design of S-scheme heterojunction photocatalysts. Herein, we used a hydrothermal process to integrate NbO nanorods and LaO nanosheets to design an NbO/LaO S-scheme system for photocatalytic hydrogen production under simulated sunlight illumination. Notably, the optimal hydrogen production performance of NbO/LaO (the molar ratio of NbO to LaO is 0.

Bridging Dynamic Neuromuscular Stabilization Synergism with Movement Control Impairment Related Non-Specific Low Back Pain: Scoping Review.

Non-specific chronic low back pain (NSCLBP) with movement control impairment (MCI) subgroup often experiences postural pain and functional lumbar spine instability. This scoping review had two aims: 1) to map the evidence related to dynamic neuromuscular stabilization (DNS) efficacy as a spinal stabilization strategy and to identify gaps in the literature that may exist regarding the effectiveness of DNS in low back pain management and 2) to align the DNS approach as a potential intervention for MCI patients. The clinical trial studies related to DNS exercises were searched from inception until February 2024 through electronic databases, such as PubMed, Google Scholar, PEDro, and Science Direct.

Correlation of postural stability with pain, disability and quality of life among patients with sacroiliac joint dysfunction- A cross-sectional study.

Context-: Sacroiliac (SI) joint dysfunction accounts for altered postural stability which can cause a continuously intense pain level and range of disabilities.

Aim: To investigate the correlation of postural stability with pain, disability & QOL among sufferers of sacroiliac joint dysfunction.

Setting: This cross-sectional research was undertaken at Rehabilitation Centre, Jamia Hamdard University.

Multi-Epitopic Peptide Vaccine Against Newcastle Disease Virus: Molecular Dynamics Simulation and Experimental Validation.

Background: Newcastle disease virus (NDV) is a highly contagious and economically devastating pathogen affecting poultry worldwide, leading to significant losses in the poultry industry. Despite existing vaccines, outbreaks continue to occur, highlighting the need for more effective vaccination strategies. Developing a multi-epitopic peptide vaccine offers a promising approach to enhance protection against NDV.

Exploring the molecular mechanisms of rice blast resistance and advances in breeding for disease tolerance.

Rice blast, caused by the fungus Magnaporthe oryzae (syn. Pyricularia oryzae), is a major problem in rice cultivation and ranks among the most severe fungal diseases. Cloning and identifying resistance genes in rice, coupled with a comprehensive examination of the interaction between M.

Facial Expression Recognition for Healthcare Monitoring Systems Using Neural Random Forest.

Facial expressions vary with different health conditions, making a facial expression recognition (FER) system valuable within a healthcare framework. Achieving accurate recognition of facial expressions is a considerable challenge due to the difficulty in capturing subtle features. This research introduced an ensemble neural random forest method that utilizes convolutional neural network (CNN) architecture for feature extraction and optimized random forest for classification.

studies, synthesis, characterization and studies of levosulpiride derivatives.

Breast cancer is the most recurring cancer among females and is being diagnosed as a major cause of death among women. Levosulpiride Schiff base derivatives were synthesized and analyzed by physical and spectral (FTIR, H-NMR, C-NMR) analysis. MTT assay against MCF-7 (human breast cancer cell line), scavenging activity and Molecular docking against receptors 1M17, 3PP0, 3IOK and 4KIK along ADME pharmacokinetic studies were performed.

Corrigendum: Targeting p53 misfolding conundrum by stabilizing agents and their analogues in breast cancer therapy: a comprehensive computational analysis.

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

Allelic variation in rice blast resistance: a pathway to sustainable disease management.

Rice blast is a major problem in agriculture, affecting rice production and threatening food security worldwide. This disease, caused by the fungus Magnaporthe oryzae, has led to a lot of research since the discovery of the first resistance gene, pib, in 1999. Researchers have now identified more than 50 resistance genes on eight of the twelve chromosomes in rice, each targeting different strains of the pathogen.

Molecular docking, derivatization, characterization and biological assays of amantadine.

Derivatization has been tremendously utilized in the field of drug discovery for optimizing the pharmacological properties and improving safety, efficacy and selectivity. Schiff's bases (AD1-AD11) are synthesized through amantadine condensation with different aldehydes and ketones. Fourier transform infrared, H NMR, C NMR, TLC, liquid chromatography mass spectrometry analysis, studies, molecular docking and antiviral activity through hemagglutinin test were performed for evaluation of new compounds.

Spacing effects on flows around two square cylinders in staggered arrangement via LBM.

This study presents a computational analysis of fluid flow characteristics around two staggered arranged square cylinders using the Lattice Boltzmann Method (LBM). With Reynolds number (Re) fixed at 200, numerical simulations explore the influence of varying gap ratios (G) ranging from 0 to 10 times the cylinder size. Emphasis is placed on understanding the impact of cylinders spacing on flow structure mechanisms and induced forces.

Synthesis of quercetin derivatives as cytotoxic against breast cancer MCF-7 cell line and studies.

Quercetin being antioxidant and antiproliferative agent acts by inhibiting CDK2, with an increase in cancer prevalence there is a need to profile quercetin derivatives as CDK2 inhibitors. Schiff bases of quercetin were synthesized as cytotoxic agents against the MCF7 cell line. FTIR, H-NMR and C-NMR, CHNS/O analysis were employed along with and activities.

MicroRNA-Dependent Mechanisms Underlying the Function of a β-Amino Carbonyl Compound in Glioblastoma Cells.

Glioblastoma (GB) is an aggressive brain malignancy characterized by its invasive nature. Current treatment has limited effectiveness, resulting in poor patients' prognoses. β-Amino carbonyl (β-AC) compounds have gained attention due to their potential anticancerous properties.

The role of mesenchymal stem cells in the treatment and pathogenesis of psoriasis.

Psoriasis, a prevalent inflammatory skin condition impacting millions globally, continues to pose treatment challenges, despite the availability of multiple therapies. This underscores the demand for innovative treatments. Mesenchymal stem cells (MSCs) have emerged as a promising therapeutic option due to their capacity to modulate the immune system and facilitate tissue healing.

Enhancing hydrodynamic forces through miniaturized control of square cylinders using the lattice Boltzmann method.

This study investigates the influence of small control cylinders on the fluid dynamics around a square cylinder using the Lattice Boltzmann Method (LBM). Varying the gaps (L) between the main and control cylinders from 0 to 6, four distinct flow regimes are identified: the solo body regime (SBR), shear layer reattachment (SLR), suppressed fully developed flow (SFDF), and intermittent shedding (IS). The presence of control cylinders results in significant reductions in flow-induced forces, with drag coefficient (CD) and root mean square values of drag and lift coefficients (CD and CL) decreasing by approximately 31%, 90%, and 81%, respectively.

Association between Reactive Oxygen Species, Transcription Factors, and Candidate Genes in Drought-Resistant Sorghum.

Drought stress is one of the most severe natural disasters in terms of its frequency, length, impact intensity, and associated losses, making it a significant threat to agricultural productivity. Sorghum (), a C4 plant, shows a wide range of morphological, physiological, and biochemical adaptations in response to drought stress, paving the way for it to endure harsh environments. In arid environments, sorghum exhibits enhanced water uptake and reduced dissipation through its morphological activity, allowing it to withstand drought stress.

Potential of covalently linked tamoxifen hybrids for cancer treatment: recent update.

Cancer is a complex disease and the second leading cause of death globally, and breast cancer is still a leading cause of cancer death in women. Tamoxifen is the most commonly used drug for breast cancer (ER-positive) treatment and chemoprevention, saving the lives of millions of patients every year. In addition, the tamoxifen template has been explored extensively for the development of selective estrogen receptor modulators (SERMs) applicable in breast cancer, osteoporosis, and postmenopausal symptom treatment.

Exploring the role of trifarotene against RAR-α: an investigation of expression pattern and clinicopathological significance of RAR-α in breast cancer.

Introduction: The members retinoic acid receptors (RARs) (α, β, and γ) and retinoid X receptors (RXRs) (α, β, and γ) belong to the retinoid receptor family. They regulate the biological action of classical retinoids through nuclear retinoid receptors, a transcription factor that is regulated by ligands. Through the binding of particular retinoic acid-responsive elements (RAREs) located in target gene promoters, RARs and members of the RXRs form heterodimers.

Produced water treatment by semi-continuous sequential bioreactor and microalgae photobioreactor.

Produced water (PW) from oil and gas exploration adversely affects aquatic life and living organisms, necessitating treatment before discharge to meet effluent permissible limits. This study first used activated sludge to pretreat PW in a sequential batch reactor (SBR). The pretreated PW then entered a 13 L photobioreactor (PBR) containing Scenedesmus obliquus microalgae culture.

Pilot-Study to Explore Metabolic Signature of Type 2 Diabetes: A Pipeline of Tree-Based Machine Learning and Bioinformatics Techniques for Biomarkers Discovery.

Background: This study aims to identify unique metabolomics biomarkers associated with Type 2 Diabetes (T2D) and develop an accurate diagnostics model using tree-based machine learning (ML) algorithms integrated with bioinformatics techniques.

Methods: Univariate and multivariate analyses such as fold change, a receiver operating characteristic curve (ROC), and Partial Least-Squares Discriminant Analysis (PLS-DA) were used to identify biomarker metabolites that showed significant concentration in T2D patients. Three tree-based algorithms [eXtreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and Adaptive Boosting (AdaBoost)] that demonstrated robustness in high-dimensional data analysis were used to create a diagnostic model for T2D.

First report on prevalence, molecular characterization and phylogenetic study of Toxoplasma gondii infecting sheep of the Malakand Division of Pakistan.

Background: Toxoplasma gondii is an apicomplexan protozoan parasite that infects one-third of the population of the world, including humans, animals, birds, and other vertebrates. The present investigation is the first molecular attempt in the Malakand Division of Pakistan to determine the epidemiology and phylogenetic study of Toxoplasma gondii infecting small ruminants.

Methodology: A total of (N = 450) blood samples of sheep were randomly collected during the study period (December 2020 to November 2021), and DNA detection was done using PCR by amplifying ITS-1 genes.