Immune-related biomarkers in the neuromyelitis optica spectrum disorder; pathogenesis and therapeutic approaches DOI

Jingyong Li,

Yoshiyuki Dan,

Wei Su

et al.

Experimental Eye Research, Journal Year: 2025, Volume and Issue: unknown, P. 110395 - 110395

Published: April 1, 2025

Language: Английский

Supported silver nanoparticles over starch-modified magnetic nanoparticles: Characterization, Its application for A3 coupling reactions, analgesic and anesthetic activities DOI
Junwei Lu,

Meilan Zhang,

Attalla F. El‐kott

et al.

Journal of Organometallic Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 123544 - 123544

Published: Jan. 1, 2025

Language: Английский

Citations

0

Deciphering the molecular interaction between Vitamin D3 and pepsin by in vitro and in silico perspectives DOI

Fatemeh Hashemi Shahraki,

Behzad Shareghi, Sadegh Farhadian

et al.

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal Year: 2025, Volume and Issue: 334, P. 125956 - 125956

Published: Feb. 27, 2025

Language: Английский

Citations

0

Pharmacological landscape of endoplasmic reticulum stress: uncovering therapeutic avenues for metabolic diseases DOI
Ghallab Alotaibi,

Abdullah Alkhammash

European Journal of Pharmacology, Journal Year: 2025, Volume and Issue: unknown, P. 177509 - 177509

Published: March 1, 2025

Language: Английский

Citations

0

Neuroprotective Effects of Peanut Skin Extract Against Oxidative Injury in HT-22 Neuronal Cells DOI Creative Commons
Jinlan Huang, Yue Zhou, Hui Xu

et al.

Pharmaceuticals, Journal Year: 2025, Volume and Issue: 18(4), P. 544 - 544

Published: April 8, 2025

Background: Oxidative stress is a key therapeutic target in neurological disorders. As processing wastes from the peanut industry, skins are great sources of antioxidants and possess potential neuroprotection. Methods: We prepared skin extract (PSE) investigated its protective effects against tert-butyl hydroperoxide (t-BHP)-induced oxidative injury HT-22 neuronal cells. Results: PSE was rich phenolic compounds (123.90 ± 0.46 mg GAE/g), comprising flavonoids (75.97 0.23 RE/g) proanthocyanidins (53.34 1.58 PE/g), displayed potent radical scavenging activities chemical-based assays. In cells, pretreatment restored balance endogenous antioxidant defense disrupted by t-BHP, as evidenced significant reductions ROS generation lipid peroxidation levels, along with enhanced antioxidants. Specifically, 25 μg/mL reduced levels 53.03%, decreased MDA content 78.82%, superoxide dismutase (SOD) activity 12.42%, improved ratio glutathione (GSH) to oxidized (GSSG) 80.34% compared t-BHP group. Furthermore, rescued mitochondrial membrane collapse, inhibited cytochrome c (Cyt.c) release, prevented subsequent apoptotic death. Notably, neuroprotective efficacy comparable that edaravone, an approved drug. Mechanistic investigations combining network pharmacology experimental validation revealed PI3K/Akt/Nrf2 signaling pathway played pivotal role mediating PSE. Compared t-BHP-treated µg/mL significantly upregulated PI3K/Akt phosphorylation, expression Nrf2, downstream proteins heme oxygenase-1 (HO-1) NAD(P)H dehydrogenase quinone 1 (NQO1). Conclusions: Collectively, these findings demonstrate natural agent oxidative-related

Language: Английский

Citations

0

Repurposing Antiepileptic Drugs for Cancer: A Promising Therapeutic Strategy DOI Open Access

Noor Tarawneh,

S. A. Hussein,

Shtaywy Abdalla

et al.

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(8), P. 2673 - 2673

Published: April 14, 2025

Epilepsy is a neurological disorder characterized by repeated convulsions. Antiepileptic drugs (AEDs) are the main course of therapy for epilepsy. These medications given according to each patient’s personal medical history and types seizures they suffer. They have been employed decades manage epilepsy, thus delivering relief from through numerous mechanisms action. Aside their anticonvulsant attributes, current evidence suggests that certain AEDs may display potential inhibitory effects against cancer invasion metastasis. This review explored complicated interactions between modes action pathways causing cancer, impact on metastasis various forms while addressing associated side effects. For example, valproic acid inhibits histone deacetylase, hyperacetylation genes, especially those regulating cell cycle, culminating in cycle arrest. Topiramate carbonic anhydrase, disrupting acidic microenvironment needed cells thrive. Lacosamide increases slow inactivation voltage gated Na+ channel, inhibiting growth, proliferation, many cancers. Although drug development complex task due regulatory, intellectual property, economic challenges, researchers exploring repurposing tactics overcome these challenges find new therapeutic alternatives diseases like cancer. Thus, considered among most effective ways develop candidates using novel properties characteristics, this also discusses issues.

Language: Английский

Citations

0

FCN-PD: An Advanced Deep Learning Framework for Parkinson’s Disease Diagnosis Using MRI Data DOI Creative Commons

Manal Alrawis,

Farah Mohammad, Saad Al-Ahmadi

et al.

Diagnostics, Journal Year: 2025, Volume and Issue: 15(8), P. 992 - 992

Published: April 14, 2025

Background/Objectives: Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by motor dysfunction, cognitive decline, and diminished quality of life. Early accurate diagnosis essential for effective management. However, traditional diagnostic approaches, which rely on clinical observations subjective assessments, often lead to delays inaccuracies. This research aims address these limitations proposing FCN-PD, an advanced deep learning framework PD using MRI data. Methods: The FCN-PD incorporates hybrid feature extraction phase that combines EfficientNet capture local spatial details attention mechanisms extract global contextual information. These features are then processed Fully Connected Network (FCN) final classification. architecture enables the model effectively represent hierarchical handle high-dimensional data while mitigating issues such as overfitting redundancy. Results: performance was evaluated three publicly available datasets. On PPMI dataset, it achieved accuracy 97.2%, outperforming CNN-based models 5.3%. OASIS 95.6% accuracy, MIRIAD reached 96.8% accuracy. results establish superior alternative existing methods. Conclusions: demonstrates significant improvements in efficiency Its robust captures both features, making promising tool integration early detection, ultimately contributing better patient outcomes.

Language: Английский

Citations

0

Immune-related biomarkers in the neuromyelitis optica spectrum disorder; pathogenesis and therapeutic approaches DOI

Jingyong Li,

Yoshiyuki Dan,

Wei Su

et al.

Experimental Eye Research, Journal Year: 2025, Volume and Issue: unknown, P. 110395 - 110395

Published: April 1, 2025

Language: Английский

Citations

0