Current Pharmaceutical Design - Volume 31, Issue 29, 2025
Volume 31, Issue 29, 2025
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The Potential Diagnostic Application of Artificial Intelligence in Breast Cancer
Breast cancer poses a significant global health challenge, necessitating improved diagnostic and treatment strategies. This review explores the role of artificial intelligence (AI) in enhancing breast cancer pathology, emphasizing risk assessment, early detection, and analysis of histopathological and mammographic data. AI platforms show promise in predicting breast cancer risks and identifying tumors up to three years before clinical diagnosis. Deep learning techniques, particularly convolutional neural networks (CNNs), effectively classify cancer subtypes and grade tumor risk, achieving accuracy comparable to expert radiologists. Despite these advancements, challenges, such as the need for high-quality datasets and integration into clinical workflows, persist. Continued research on AI technologies is essential for advancing breast cancer detection and improving patient outcomes.
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Nanocarriers and Nanomaterials in Dentistry: A Review on Common Dental Issues and their Management
Authors: Shiv Kumar, Nitasha Chauhan, Shruti Chopra and Amit BhatiaNanomaterials offer significant potential for disease diagnosis and dental treatments due to their unique properties, such as a large surface area and nanoscale size. According to the World Health Organization, about 3.5 billion people worldwide regularly experience dental problems, which can cause significant suffering and disrupt the sufferer’s everyday activities. Dental problems, such as dental caries (tooth decay), pulpitis (inflammation of the dental pulp), periodontal disease (gum disease), tooth fractures, and impacted wisdom teeth, necessitate a multidimensional approach, involving nanotechnology, dental materials, implants, etc., treating the underlying problem while providing symptomatic relief. This review discusses the role of nanotechnology in addressing major dental issues like dental caries, periodontal diseases, and tooth fractures. The collaborative endeavors of sophisticated nanomaterials facilitate their application in dental science, improving therapeutic efficacy and enhancing patient comfort and overall oral health.
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Exploring the Potential Mechanisms of Zuo Gui Pill for the Treatment of Knee Osteoarthritis based on Network Pharmacology and Molecular Docking Techniques
Authors: Yulin Wang, Jiahao Zhang, Junzheng Liu, Tun Liu, Jiaxin Zhao, Yiling Guo, Xinyi Zhang and Wei WangBackgroundZuo Gui pill (ZGP) is a herbal compound formulation used to treat knee osteoarthritis (KOA), but its underlying mechanisms are still unclear. This study aimed to initially elucidate the molecular mechanisms of ZGP in treating KOA using network pharmacology and molecular docking techniques.
MethodsWe collected information on the drug compounds and targets from TCMSP, HERB, BATMAN-TCM, and UniProt databases, as well as the KOA-related targets from DisGeNET, GeneCards, OMIM, and GEO databases. Afterward, we obtained the hub targets of ZGP and KOA. The biological processes and major pathways of the hub targets were analyzed by GO and KEGG, and three networks were constructed to illustrate the mechanisms of ZGP for the treatment of KOA. Finally, molecular docking was carried out to verify the binding of the main compounds to the key targets.
ResultsThrough the network pharmacological analysis, we screened important compounds in ZGP, such as quercetin, kaempferol, wogonin, isorhamnetin, and 138 hub targets, including PTGS2, NOS3, AKT1, MAPK1, which are enriched in PI3K-Akt, MAPK, TNF, IL-17, HIF-1, and other signaling pathways. The molecular docking results showed that the main compounds and key targets have high affinity, which further demonstrated the molecular mechanisms and provided a basis for the clinical application of ZGP.
ConclusionThis study illustrates the specific mechanisms of ZGP in the treatment of KOA using network pharmacology and molecular docking techniques, which lays the foundation for further research on its pharmacological mechanisms.
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Synthetic Cannabinoids are Genotoxic in Cultured Human Lymphocytes
BackgroundSynthetic cannabinoids are one of the most identified abused drugs nowadays. Their popularity is due to their psychoactive effects, which resemble delta 9 tetrahydrocannabinol. This study investigates the genotoxic potential of three synthetic cannabinoids of indazole-passed drugs, AB-Fubinaca, AMB- Fubinaca, and EMB-Fubinaca (at a final concentration of 200 nM).
MethodsGenotoxicity was examined using Sister Chromatid Exchanges (SCEs) and Chromosomal Aberrations (CAs) assays in cultured human lymphocytes. Blood for lymphocyte cultures was obtained from healthy adult young males.
ResultsA significant increase in the frequency of SCEs was detected for all examined drugs (range: 5.4-6.1, p < 0.05) compared to the control group (4.70 ± 0.31). The order of synthetic cannabinoids in terms of their ability to induce SCEs was EMB-Fubinaca (6.04 ± 0.63) > AMB-Fubinaca (5.65 ± 0.6) > AB-Fubinaca (5.33 ± 0.58). None of the examined drugs induced significant changes to the frequency of CAs (p > 0.05). Additionally, there were no effects of the synthetic cannabinoids at the studied concentration on proliferation and mitotic indices.
ConclusionSynthetic cannabinoids have been found to increase the frequency of SCEs in cultured human lymphocytes. The results should be confirmed in in vivo studies using lymphocytes derived from synthetic cannabinoid users.
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QbD-Anchored Preparation and Assessment of Transethosomal Gel for Enhanced Skin Permeation of Tamoxifen Citrate
BackgroundTamoxifen citrate (TMC), an antiestrogenic drug, is employed in the healing of advanced breast cancer. However, its oral and parenteral route-associated side effects and solubility issues restricted its medical utilizations.
ObjectiveThe research aimed to prepare a tamoxifen citrate-loaded transethosomal gel (TMC TEsG) to enhance TMC entrapment efficiency, in vitro dissolution, and ex vivo permeation.
MethodsTMC TEs were developed employing an HPH method and optimized using 23 factorial designs. The optimized TMC TEs were converted into TMC TEsG by cold dispersion. TMC TEs and TMC TEsG were estimated for particle size, microscopic, functional group interaction, crystalline, in vitro dissolution, ex vivo permeation, spreadability, TMC content, and texture analysis.
ResultsThe optimization study revealed the suitability and validity of 23 designs for developing TMC TEs. TMC TEs with particle size ~163.1 nm and zeta potential of ~-26.8 mV improved the physical stability and skin permeation. TMC TEs showed a high entrapment efficiency of ~84.49%. TEM depicts spherical and sealed structure vesicles of TMC TEs. Physical analysis supported the formation of TMC TEs. Vesicles improved the dissolution (~96%) compared to pure TMC (~68%). The TMC TEsG increased the permeation (~82%) compared to TMC gel (~55%). TMC TEsG with pH (~5.61), viscosity (~4077.5 cps), and spreadability (~49.84 g.cm/s) exhibiting safety and easy applicability to the skin.
ConclusionOutcomes suggest the transdermal permeation potential of design-generated flexible TMC TEs and, thus, could be employed to treat skin-related diseases.
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Qizhi Kebitong Formula Ameliorates Sciatic Nerve Injury in Streptozocin-induced Diabetic Mice through PERK/ATF4/CHOP Endoplasmic Reticulum Stress Signaling Pathway
Authors: Honghai Yu, Cunqing Yang, Guoqiang Wang, Jiao Lv, Xiangyan Li, Wenxiu Qi and Xiuge WangBackgroundThe Qizhi Kebitong formula (QKF) has been utilized as a traditional Chinese medicine (TCM) remedy for over two decades in treating diabetic peripheral neuropathy (DPN) with notable clinical efficacy. However, its precise mechanism and bioactive constituents remain elusive.
MethodsThrough ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC/QTOF-MS) analysis was used to identify the primary components of QKF. Nerve conduction function in mice was assessed by measuring sensory thresholds and nerve conduction velocities. Laser speckle contrast imaging (LSCI) was used to examine the effect of QKF on foot pads and perineural blood flow in mice. Additionally, Transmission electron microscopy (TEM) and various pathologic stains were utilized to observe QKF's therapeutic effect on sciatic nerve (SN) damage in DPN mice. The impact of QKF on the pathological mechanism of the DPN model was explored through qRT-PCR, Western blot, and immunohistochemistry.
ResultsOur results demonstrated that QKF improved phenotypic features in a mouse model of DPN, increased blood flow around the foot pad and SN, and somewhat repaired the pathological structure and function of SN. Furthermore, the study revealed that QKF slowed down the progression of DPN by inhibiting the endoplasmic reticulum (ER) stress apoptosis signaling pathway mediated by PERK/ATF4/CHOP pathway.
ConclusionThe significant neuroprotective effects of QKF in experimental DPN mice were confirmed by our findings, which offer important scientific evidence supporting its potential utilization in DPN treatment.
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Volumes & issues
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Volume 31 (2025)
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Volume (2025)
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Volume 30 (2024)
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Volume 29 (2023)
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Volume 28 (2022)
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Volume 27 (2021)
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Volume 26 (2020)
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Volume 25 (2019)
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Volume 24 (2018)
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Volume 23 (2017)
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Volume 22 (2016)
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Volume 21 (2015)
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Volume 20 (2014)
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Volume 19 (2013)
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Volume 18 (2012)
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Volume 17 (2011)
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Volume 16 (2010)
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Volume 15 (2009)
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Volume 14 (2008)
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Volume 13 (2007)
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Volume 12 (2006)
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Volume 11 (2005)
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Volume 10 (2004)
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Volume 9 (2003)
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Volume 8 (2002)
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Volume 7 (2001)
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Volume 6 (2000)
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