TiO-sodium alginate core-shell nanosystem for higher antimicrobial wound healing application.

Wounds that are not properly managed can cause complications. Prompt and proper care is essential, to prevent microbial infection. Growing interest in metal oxide nanoparticles (NPs) for innovative wound treatments targeting healing and microbial infections.

Quercetin-functionalized nanomaterials: Innovative therapeutic avenues for Alzheimer's disease management.

Alzheimer's Disease (AD) is a major global health challenge, largely due to its complex pathology and the limited effectiveness of existing treatments. Quercetin, a bioactive compound belonging to the flavonoid class, its promising antioxidant, anti-inflammatory, and neuroprotective effects in addressing AD. However, its therapeutic potential is hindered by challenges such as low bioavailability, instability, and restricted permeability across the blood-brain barrier (BBB).

TLR/NLRP3 inflammasome signaling pathways as a main target in frailty, cachexia and sarcopenia.

Mobility disability is a common condition affecting older adults, making walking and the performance of activities of daily living difficult. Frailty, cachexia and sarcopenia are related conditions that occur with advancing age and are characterized by a decline in muscle mass, strength, and functionality that negatively impacts health. Chronic low-grade inflammation is a significant factor in the onset and progression of these conditions.

Graph Neural Networks-Based Prediction of Drug Gene Interactions of RTK-VEGF4 Receptor Family in Periodontal Regeneration.

Background: The RTK-VEGF4 receptor family, which includes VEGFR-1, VEGFR-2, and VEGFR-3, plays a crucial role in tissue regeneration by promoting angiogenesis, the formation of new blood vessels, and recruiting stem cells and immune cells. Machine learning, particularly graph neural networks (GNNs), has shown high accuracy in predicting these interactions. This study aims to predict drug-gene interactions of the RTK-VEGF4 receptor family in periodontal regeneration using graph neural networks.

Dynamics of pollution and trophic status in selected sub-tropical surface water bodies in Haridwar district, India.

This study provides a detailed approach to evaluating water quality in the Haridwar district, Uttarakhand, India, by integrating physicochemical and microbiological investigations. It employs multivariate analysis and applies water quality and trophic state indices to evaluate the current state of the water and identify potential sources of contamination. The results from the correlation matrix highlight the dynamic interactions between different water quality parameters.

Bibliometric analysis of trends in dental management of the children with Autism Spectrum Disorder (ASD).

This study aimed to present a complete overview of the trends, difficulties, and improvements in dental treatment for children diagnosed with autism spectrum disorder through rigorous bibliometric analysis. The dimensional database field was chosen to enable the inclusion and recall of the greatest number of relevant entries. All peer-reviewed international journals published between 2004 and 2023 were included in this study.

Prediction of Multi-targeting Pharmacological Activity of Bioactive Compounds from Medicinal Plants Against Hepatocellular Carcinoma Through Advanced Network Pharmacology and Bioinformatics-Based Investigation.

The primary objective of this study was to identify bioactive compounds from four medicinal plants with multi-targeting activity against hepatocellular carcinoma (HCC). A comprehensive analysis led to the identification of a subset of compounds possessing favorable drug-likeness, pharmacokinetics, and absence of toxicity profiles. Target analysis for 42 phytochemicals revealed 210 potential targets associated with HCC.

c-FLIP/Ku70 complex; A potential molecular target for apoptosis induction in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the most lethal malignancies worldwide and the most common form of liver cancer. Despite global efforts toward early diagnosis and effective treatments, HCC is often diagnosed at advanced stages, where conventional therapies frequently lead to resistance and/or high recurrence rates. Therefore, novel biomarkers and promising medications are urgently required.

Thyromimetics and MASLD: Unveiling the Novel Molecules Beyond Resmetirom.

Background: Resmetirom, the first FDA-approved drug for nonalcoholic steatohepatitis (NASH) with fibrosis in obese patients, when combined with lifestyle modifications, improves NASH resolution and reduces fibrosis by at least one stage. Low thyroid hormone (T) levels are linked to a higher risk of developing metabolic dysfunction-associated steatotic liver disease (MASLD). Epidemiological studies have confirmed the positive correlation between hypothyroidism and MASLD.

Patterns and trends in burden of asthma and its attributable risk factors from 1990 to 2021 among south Asian countries: a systematic analysis for the Global Burden of Disease Study 2021.

Objective: Asthma poses a significant health burden in South Asia, with increasing incidence and mortality despite a global decline in age-standardized prevalence rates. This study aims to analyze asthma trends from 1990 to 2021, focusing on prevalence, incidence, mortality, and disability-adjusted life years (DALYs) across South Asia. The study also assesses the impact of risk factors like high body mass index (BMI), smoking, and occupational exposures on asthma outcomes.

Engineering geological evaluation of Bowa Dayole dam site, North Shewa Zone, Oromia, Ethiopia.

Developing nations like Ethiopia face food and water shortages due to weather and droughts. The Bowa Dayole masonry gravity dam is expected to irrigate farmland downstream. Despite this, the engineering geology is complicated by the presence of highly fractured and weathered aphanitic basaltic rock, along with a weak unwelded to welded tuff rock mass in the dam foundation.

Burden of rheumatic diseases among people with diabetes: A systematic review and meta-analysis.

Diabetes mellitus type 2 (DM2) is a prevalent metabolic condition affecting over 500 million people globally and associated with serious comorbidities, including various rheumatologic conditions. Some studies have reported a significant association between rheumatological conditions and DM2. However, the global burden of rheumatological conditions among people with DM2 remains unknown.

Effect of the maternal sleep disturbances and obstructive sleep apnea on feto-placental Doppler: A systematic review.

Literature evidenced an association of maternal sleep disturbances and maternal obstructive sleep apnea with significant obstetric complications. Moreover, the maternal sleep disturbances effect on feto-placental circulation had not been extensively examined. Our objective is to explore the possible maternal sleep disturbances impact on the feto-placental indices evaluated through the Doppler study.

Bifunctional NiCo-CuO Nanostructures: A Promising Catalyst for Energy Conversion and Storage.

This investigation explores the potential of co-incorporating nickel (Ni) and cobalt (Co) into copper oxide (CuO) nanostructures for bifunctional electrochemical charge storage and oxygen evolution reactions (OER). A facile wet chemical synthesis method is employed to co-incorporate Ni and Co into CuO, yielding diverse nanostructured morphologies, including rods, spheres, and flake. The X-ray diffraction (XRD) and Raman analyses confirmed the formation of NiCo-CuO nanostructure, with minor phases of nickel oxide (NiO) and cobalt tetraoxide (CoO).

Gelatin/PLA-loaded gold nanocomposites synthesis using Syzygium cumini fruit extract and their antioxidant, antibacterial, anti-inflammatory, antidiabetic and anti-Alzheimer's activities.

Nanotechnology has experienced significant advancements, attracting considerable attention in various biomedical applications. This innovative study synthesizes and characterizes Ge/PLA/AuNCs (gelatin/PLA/gold nanocomposites) using Syzygium cumini extract to evaluate their various biomedical applications. The UV-Visible spectroscopy results in an absorption peak at 534 nm were primarily confirmed by Ge/PLA/AuNCs synthesis.

Green Synthesis of Eosin-Y Coated Silver Nanoparticles for Sensitive and Selective Fluorometric Detection of L-Dopa.

This study is to produce biogenic silver nanoparticles (AgNPs) by utilizing aqueous extracts derived from Turnera Sublata (TS) leaves under visible light. Subsequently, these nanoparticles are coated with eosin-yellow (EY) to enhance sensitivity and selectivity in L-3,4-dihydroxyphenylalanine (L-dopa) detection. This method encompasses the deposition of metal onto the Ag NPs, resulting in the formation of EY-AgNPs.

Effect of Fibrates on Lipoprotein-associated Phospholipase A2 Mass and Activity: A Systematic Review and Meta-analysis of Controlled Clinical Trials.

Background: In vascular tissue, macrophages and inflammatory cells produce the enzyme lipoprotein- associated phospholipase A2 (Lp-PLA2). Treatment with fibrates decreases Lp-PLA2 levels in individuals with obesity and metabolic syndrome; however, these findings have not been fully clarified.

Objective: The goal of this study was to investigate the possible effects of fibrate therapy on Lp-PLA2 mass and activity through a meta-analysis of clinical trials.

Enhancing glaucoma diagnosis: Generative adversarial networks in synthesized imagery and classification with pretrained MobileNetV2.

The disease affects the optic nerve and represents the principle reasons of irreversible vision loss, mostly asymptomatic and uncontrolled. Consequently, early and accurate diagnosis is critical to prevent or reduce its effect, however, conventional diagnostic techniques often fail to provide concrete results. In this regard, we present a new approach built on Generative Adversarial Networks (GAN) and MobileNetV2 pretrained architecture for diagnosing glaucoma.