Pathology - Research and Practice, Journal Year: 2025, Volume and Issue: unknown, P. 155940 - 155940
Published: March 1, 2025
Language: Английский
International Journal of Pharmaceutics, Journal Year: 2025, Volume and Issue: 670, P. 125186 - 125186
Published: Jan. 8, 2025
The blood-brain barrier (BBB) plays a vital role in protecting the central nervous system (CNS) by preventing entry of harmful pathogens from bloodstream. However, this also presents significant obstacle when it comes to delivering drugs for treatment neurodegenerative diseases and brain cancer. Recent breakthroughs nanotechnology have paved way creation wide range nanoparticles (NPs) that can serve as carriers diagnosis therapy. Regarding their promising properties, organic NPs potential be used effective drug delivery across BBB based on recent advancements. These remarkable ability penetrate using various mechanisms. This review offers comprehensive examination intricate structure distinct properties BBB, emphasizing its crucial function preserving balance regulating transport ions molecules. disruption conditions such stroke, Alzheimer's disease, Parkinson's disease highlights importance developing creative approaches drugs. Through encapsulation therapeutic molecules precise targeting processes vasculature, NP formulations present hopeful strategy improve BBB. We explore changes pathological investigate factors affect successful into brain. In addition, we most systems associated with shown positive results treating ischemic disorders. opens up new possibilities nanotechnology-based therapies cerebral diseases.
Language: Английский
Citations
7
BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)
Published: Jan. 4, 2025
Abstract Cardiovascular disease (CVD) is a leading cause of death and disability worldwide, its incidence prevalence are increasing in many countries. Modeling CVD plays crucial role understanding the trend cases, evaluating effectiveness interventions, predicting future trends. This study aims to investigate modeling forecasting mortality, specifically Sindh province Pakistan. The civil hospital Nawabshah area province, Pakistan, provided data set used this study. It time series dataset with actual cardiovascular mortality cases from 1999 2021 included. analyzes forecasts deaths Pakistan using classical models, including Naïve, Holt-Winters, Simple Exponential Smoothing (SES), which have been adopted compared machine learning approach called Artificial Neural Network Auto-Regressive (ANNAR) model. performance both models ANNAR model has evaluated key indicators such as Root Mean Square Deviation Error, Absolute Error (MAE), Percentage (MAPE). After comparing results, it was found that outperformed all selected demonstrating quantifying burden concludes best-selected among competing for province. provides valuable insights into impact interventions aimed at reducing can assist formulating health policies allocating economic resources. By accurately policymakers make informed decisions address public issue effectively.
Language: Английский
Citations
2
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Jan. 8, 2025
Heart disease is a category of various conditions that affect the heart, which includes multiple diseases influence its structure and operation. Such may consist coronary artery disease, characterized by narrowing or clotting arteries supply blood to heart muscle, with resulting threat attacks. rhythm disorders (arrhythmias), valve problems, congenital defects present at birth, muscle (cardiomyopathies) are other types disease. The objective this work introduce Greylag Goose Optimization (GGO) algorithm, seeks improve accuracy classification. GGO algorithm's binary format specifically intended choose most effective set features can classification when compared six optimization algorithms. bGGO algorithm for selecting optimal enhance accuracy. phase utilizes many classifiers, findings indicated Long Short-Term Memory (LSTM) emerged as classifier, achieving an rate 91.79%. hyperparameter LSTM model tuned using GGO, outcome alternative optimizers. obtained highest performance, 99.58%. statistical analysis employed Wilcoxon signed-rank test ANOVA assess feature selection outcomes. Furthermore, visual representations results was provided confirm robustness effectiveness proposed hybrid approach (GGO + LSTM).
Language: Английский
Citations
2
Journal of Functional Biomaterials, Journal Year: 2025, Volume and Issue: 16(1), P. 8 - 8
Published: Jan. 1, 2025
Each year, the number of cases strokes and deaths due to this is increasing around world. This could be work stress, lifestyles, unhealthy food habits, several other reasons. Currently, there are traditional methods like thrombolysis mechanical thrombectomy for managing strokes. The current approach has limitations, delayed diagnosis, limited therapeutic delivery, risks secondary injuries. So, a need some effective reliable management strokes, which help in early diagnosis followed by treatment Nanotechnology played an immense role recently, it emerged as transformative solution offering innovative diagnostic tools strategies. Nanoparticles (NPs) belonging classes, including metallic (metallic metal oxide), organic (lipids, liposome), carbon, can cross blood–brain barrier may exhibit potential various Moreover, these NPs have exhibited promise improving imaging specificity delivery precise drug real-time monitoring efficacy. Nanomaterials cerium oxide (CeO2) liposome-encapsulated agents neuroprotective properties that reduce oxidative stress promote neuroregeneration. In present article, authors emphasized significant advancements nanomedicine stroke, NPs-based systems, neuroregenerative therapies, multimodal advancements.
Language: Английский
Citations
1
Neuroscience, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
1
Life Sciences, Journal Year: 2024, Volume and Issue: 355, P. 122998 - 122998
Published: Aug. 20, 2024
Language: Английский
Citations
5
International Journal of Medical Sciences, Journal Year: 2024, Volume and Issue: 21(13), P. 2502 - 2509
Published: Jan. 1, 2024
Hypoxic injury is a critical pathological factor in the development of various cardiovascular diseases, such as congenital heart disease, myocardial infarction, and failure. Mitochondrial quality control essential for protecting cardiomyocytes from hypoxic damage. Under conditions, disruptions mitochondrial homeostasis result excessive reactive oxygen species (ROS) production, imbalances dynamics, initiate processes including oxidative stress, inflammatory responses, apoptosis. Targeted interventions to enhance control, coenzyme Q10 statins, have shown promise mitigating hypoxia-induced dysfunction. These treatments offer potential therapeutic strategies hypoxia-related diseases by regulating fission fusion, restoring biogenesis, reducing ROS promoting mitophagy.
Language: Английский
Citations
5
Pharmacological Research, Journal Year: 2024, Volume and Issue: 209, P. 107466 - 107466
Published: Oct. 15, 2024
Myocardial ischemia causes extensive damage, further exacerbated by reperfusion, a phenomenon called myocardial ischemia/reperfusion injury (MIRI). Nowadays, the pathological mechanisms of MIRI have received attention. Oxidative stress, multiple programmed cell deaths, inflammation and others are all essential contributing to MIRI. Mitochondria energy supply centers cells. Numerous studies found that abnormal mitochondrial function is an "culprit" MIRI, mitophagy mediated phosphatase tensin homolog (PTEN)-induced kinase 1 (PINK1)/Parkin signaling pathway integral part maintaining function. Therefore, exploring association between PINK1/Parkin pathway-mediated crucial. This review will mainly summarize crucial role in MIR-induced several various potential interventions affect mitophagy, thus ameliorating
Language: Английский
Citations
4
Journal of Polymer Science, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 4, 2025
ABSTRACT The advancement of therapeutic gas treatment has significantly impacted on the biomaterial field, with nitric oxide (NO) gaining attention for its safety, multifunctionality, and role in regulating biological processes. Thus, this study introduces a novel biocatalytic NO‐generating situ forming hydrogel (GTA/Cu) to address wound‐related issues, fabricated through simple, one‐step process by incorporating copper ions (Cu 2+ ) into tannic acid‐conjugated gelatin (GTA). Herein, Cu functions simultaneously as crosslinking agent, catalyst, antibacterial while galloyl groups GTA enable effective tissue adhesion diverse interactions. hydrogels' mechanical properties are controlled varying concentrations (25, 50, 100 mg/mL), higher concentration accelerating gelation enhancing strength. At mg/mL , releases NO up 12 days, reaching cumulative around 200 μM. It also demonstrated robust antioxidant activity, high (~20 kPa), comparable effects Cu‐only samples. Interestingly, released facilitates endothelial cell proliferation, accelerates scratch closure within 36 h, stimulates new tube formation Matrigel, showing VEGF. Additionally, it clearly promotes blood vessel vivo following subcutaneous injection, further highlighting potential practical wound healing applications.
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Jan. 8, 2025
In recent years, the healthcare data system has expanded rapidly, allowing for identification of important health trends and facilitating targeted preventative care. Heart disease remains a leading cause death in developed countries, often to consequential outcomes such as dementia, which can be mitigated through early detection treatment cardiovascular issues. Continued research into preventing strokes heart attacks is crucial. Utilizing wealth related cardiac ailments, two-stage medical classification prediction model proposed this study. Initially, Binary Grey Wolf Optimization (BGWO) used cluster features, with grouped information then utilized input model. An innovative 6-layered deep convolutional neural network (6LDCNNet) designed conditions. Hyper-parameter tuning 6LDCNNet achieved an improved optimization method. The resulting demonstrates promising performance on both Cleveland dataset, achieving convergence 96% assessing severity, echocardiography imaging impressive 98% convergence. This approach potential aid physicians diagnosing severity diseases, interventions that significantly reduce mortality associated
Language: Английский
Citations
0