Public Views on Whether the Use of Pharmaceutical Neuroenhancements Should Be Allowed

Research Report on Whether the Public Should Be Allowed to Use Drug Enhancers Introduction In recent years, some individuals have started using drugs to enhance cognitive and socio-emotional functions and have requested off-label prescriptions from doctors for neuroenhancement (e.g., stimulants). However, discussions about whether such uses should ...

Amelioration of astrocyte-mediated neuroinflammation by EI-16004 confers neuroprotection in an MPTP-induced Parkinson’s disease model

Alleviating Effect of EI-16004 on Astrocyte-Mediated Neuroinflammation in MPTP-Induced Parkinson’s Disease Model Background Introduction Parkinson’s Disease (PD) is a neurodegenerative disorder primarily affecting the elderly, characterized by tremors, bradykinesia, rigidity, and loss of postural reflexes, mainly due to the loss of dopaminergic neu...

Dutch Pharmacogenetics Working Group (DPWG) Guideline for the Gene-Drug Interaction of CYP2C9, HLA-A, and HLA-B with Anti-epileptic Drugs

Dutch Pharmacogenetics Working Group Guideline for CYP2C9, HLA-A and HLA-B Gene-Drug Interactions with Antiepileptic Drugs Background Pharmacogenetics (PGx) studies how genetic variations affect individual drug responses, aiming to guide drug selection and dosing, optimize drug therapy, prevent adverse drug reactions, and achieve safer and more cos...

Clinical Impact of Preemptive Pharmacogenomic Testing on Antiplatelet Therapy in a Real-World Setting

Clinical Impact of Pharmacogenomic Testing on Antiplatelet Therapy Background Pharmacogenomics (PGx) is changing the use of P2Y12 inhibitors (antiplatelet drugs), which are widely used in the treatment of acute coronary syndrome (ACS), neurovascular problems, and vascular diseases. Among them, clopidogrel is a commonly used P2Y12 inhibitor. This pr...

Epigallocatechin-3-Gallate Inhibits LPS/AβO-Induced Neuroinflammation in BV2 Cells Through Regulating the ROS/Txnip/NLRP3 Pathway

Epigallocatechin-3-Gallate (EGCG) Inhibits Neuroinflammation in BV2 Cells by Regulating the ROS/TXNIP/NLRP3 Pathway Research Background Alzheimer’s Disease (AD) is a degenerative brain disorder primarily affecting the elderly, characterized by persistent cognitive dysfunction and behavioral impairment. The neuropathological changes in AD include β-...

β-sitosterol alleviates neuropathic pain by affecting microglia polarization through inhibiting tlr4/nf-κb signaling pathway

β-Sitosterol Alleviates Neuropathic Pain by Inhibiting the TLR4/NF-κB Signaling Pathway Background Neuropathic pain is a common and difficult-to-treat chronic pain condition in clinical practice, with complex and not fully understood etiology. Research has shown that neuroinflammation is one of the main causes of chronic neuropathic pain. Microglia...

Synthetic Lethality Beyond BRCA: A Phase I Study of Rucaparib and Irinotecan in Metastatic Solid Tumors with Homologous Recombination-Deficiency Mutations

Research Background In recent years, Poly ADP-ribose Polymerase (PARP) inhibitors have shown significant efficacy as a key approach to treat hereditary BRCA1/2 mutation cancers. However, their effectiveness on tumors with other homologous recombination deficiency (HRD) gene mutations such as ATM, CDK12, and CHEK2 has been less satisfactory. Hence, ...

Development of Complemented Comprehensive Networks for Rapid Screening of Repurposable Drugs Applicable to New Emerging Disease Outbreaks

Research on Network Construction and Application of Novel Drug Repositioning Strategies Background During the COVID-19 pandemic, researchers and pharmaceutical companies have been dedicated to developing treatments and vaccines. Drug repositioning, due to its shortcut, is considered a rapid and effective response strategy. Drug repositioning attemp...

Hierarchical Negative Sampling Based Graph Contrastive Learning Approach for Drug-Disease Association Prediction

Research on Drug-Disease Association Prediction Using Graph Contrastive Learning Based on Layered Negative Sampling The prediction of drug-disease associations (RDAs) plays a critical role in unveiling disease treatment strategies and promoting drug repurposing. However, existing methods mainly rely on limited domain-specific knowledge when predict...

Dual-Level Interaction Aware Heterogeneous Graph Neural Network for Medicine Package Recommendation

Research on Medical Package Recommendation Systems: Heterogeneous Graph Neural Network Based on Dual-Level Interaction Awareness With the widespread application of electronic health records (EHRs) in the medical field, how to mine potential and valuable medical knowledge to support clinical decision-making has become an important research direction...