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RETRACTED: El-Masry et al. Potential Antitumor Activity of Combined Lycopene and Sorafenib Against Solid Ehrlich Carcinoma via Targeting Autophagy and Apoptosis and Suppressing Proliferation. Pharmaceuticals 2024, 17, 527. 撤稿:El-Masry等。番茄红素联合索拉非尼通过靶向自噬、凋亡和抑制增殖抑制实体埃利希癌的潜在抗肿瘤活性制药,2024,17,527。
IF 4.8 3区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-12-29 DOI: 10.3390/ph19010062
Thanaa A El-Masry, Maysa M F El-Nagar, Nageh A El Mahdy, Fatemah A Alherz, Reham Taher, Enass Y Osman

The journal retracts the article "Potential Antitumor Activity of Combined Lycopene and Sorafenib against Solid Ehrlich Carcinoma via Targeting Autophagy and Apoptosis and Suppressing Proliferation" [...].

该期刊撤回了“番茄红素和索拉非尼联合靶向自噬、细胞凋亡和抑制增殖对实体埃利希癌的潜在抗肿瘤活性”这篇文章。
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引用次数: 0
RETRACTED: Chen et al. Rosmarinic Acid Attenuates the Lipopolysaccharide-Provoked Inflammatory Response of Vascular Smooth Muscle Cell via Inhibition of MAPK/NF-κB Cascade. Pharmaceuticals 2022, 15, 437. 撤稿:Chen et al.。迷迭香酸通过抑制MAPK/NF-κB级联减轻脂多糖引起的血管平滑肌细胞炎症反应。医药,2022,15,437。
IF 4.8 3区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-12-25 DOI: 10.3390/ph19010046
Ching-Pei Chen, You-Cian Lin, Yu-Hui Peng, Han-Min Chen, Jiun-Tsai Lin, Shao-Hsuan Kao

The journal retracts the article "Rosmarinic Acid Attenuates the Lipopolysaccharide-Provoked Inflammatory Response of Vascular Smooth Muscle Cell via Inhibition of MAPK/NF-κB Cascade" [...].

该期刊撤回了“迷迭香酸通过抑制MAPK/NF-κB级联减轻脂多糖引起的血管平滑肌细胞炎症反应”的文章[…]。
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引用次数: 0
Antibacterial and Antifungal Properties of Ocotea indecora Essential Oil and Its Nanoemulsion. 山茱萸精油及其纳米乳的抑菌抑菌性能研究
IF 4.8 3区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-12-18 DOI: 10.3390/ph18121909
Francisco Paiva Machado, Julia C Scaffo, Leonardo A Pinto, Renata F A Pereira, Sorele Fiaux, Luiz Antonio M Keller, Eduardo Ricci-Júnior, Ana Paula Dos Santos Matos, Fabio Aguiar-Alves, Caio P Fernandes, Jorge A D Duarte, Leandro Rocha

Background: Antimicrobial resistance and fungal contamination remain major threats to public health and agriculture, emphasizing the need for innovative alternatives. Plant-derived products are a promising alternative, and nanoformulations may further enhance their activity. Objective: This study investigated the antimicrobial potential of Ocotea indecora essential oil and its nanoemulsion. Methods/Results: The essential oil chemical characterization by GC-MS revealed sesquirosefuran (91.61%) as the main constituent. A factorial design guided the selection of an optimized nanoemulsion, which exhibited spherical nanometric droplets (79 nm and 0.029 PdI) with long-term stability. The essential oil inhibited the growth of Gram-positive and Gram-negative strains at 1 to 2 mg/mL, while the nanoemulsion enhanced bactericidal activity against Staphylococcus aureus. In contrast, antifungal assays revealed a more pronounced effect, with the nanoemulsion lowering the minimum inhibitory concentrations (625 µg/mL) against Thielaviopsis ethacetica, thereby enhancing the inhibitory activity of the essential oil (2.5 mg/mL). Morphological alterations, including thinner hyphae and impaired sporulation, were also detected, suggesting a reduction in fungal virulence. Conclusions: In summary, O. indecora essential oil shows promising antimicrobial potential, and nanoemulsification proved particularly effective in potentiating fungistatic activity while offering limited enhancement of bactericidal effects. The results support the potential of O. indecora derivatives as natural candidates for the development of novel antimicrobial strategies.

背景:抗菌素耐药性和真菌污染仍然是对公共卫生和农业的主要威胁,强调需要创新的替代品。植物源性产品是一种很有前途的替代品,纳米配方可以进一步增强其活性。目的:研究乌桕精油及其纳米乳的抑菌作用。方法/结果:采用气相色谱-质谱法对其挥发油进行化学表征,主要成分为倍半罗斯呋喃(91.61%)。通过析因设计,优选出具有长期稳定性的球形纳米乳液(79 nm, 0.029 PdI)。精油在1 ~ 2 mg/mL浓度下抑制革兰氏阳性和革兰氏阴性菌株的生长,而纳米乳对金黄色葡萄球菌的杀菌活性增强。相比之下,抗真菌实验显示出更明显的效果,纳米乳液降低了对Thielaviopsis ethacetica的最低抑制浓度(625µg/mL),从而增强了精油(2.5 mg/mL)的抑制活性。形态学改变,包括更薄的菌丝和受损的孢子,也被检测到,表明真菌毒力降低。结论:综上所述,亚麻籽精油具有很好的抗菌潜力,纳米乳化被证明在增强抑菌活性方面特别有效,而对杀菌效果的增强作用有限。这些结果支持了O. indecora衍生物作为开发新型抗菌策略的天然候选者的潜力。
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引用次数: 0
Machine Learning-Based QSAR Screening of Colombian Medicinal Flora for Potential Antiviral Compounds Against Dengue Virus: An In Silico Drug Discovery Approach. 基于机器学习的哥伦比亚药用菌群QSAR筛选潜在的登革热病毒抗病毒化合物:一种计算机药物发现方法。
IF 4.8 3区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-12-18 DOI: 10.3390/ph18121906
Sergio Andrés Montenegro-Herrera, Anibal Sosa, Isabella Echeverri-Jiménez, Rafael Santiago Castaño-Valencia, Alejandra María Jerez-Valderrama
<p><p><b>Background/Objectives</b>: Colombia harbors exceptional plant diversity, comprising over 31,000 formally identified species, of which approximately 6000 are classified as useful plants. Among these, 2567 species possess documented food and medicinal applications, with several traditionally utilized for managing febrile illnesses. Despite the global burden of dengue virus infection affecting millions annually, no specific antiviral therapy has been established. This study aimed to identify potential anti-dengue compounds from Colombian medicinal flora through machine learning-based quantitative structure-activity relationship (QSAR) modeling. <b>Methods</b>: An optimized XGBoost algorithm was developed through Bayesian hyperparameter optimization (Optuna, 50 trials) and trained on 2034 ChEMBL-derived activity records with experimentally validated anti-dengue activity (IC<sub>50</sub>/EC<sub>50</sub>). The model incorporated 887 molecular features comprising 43 physicochemical descriptors and 844 ECFP4 fingerprint bits selected via variance-based filtering. IC<sub>50</sub> and EC<sub>50</sub> endpoints were modeled independently based on their pharmacological distinction and negligible correlation (r = -0.04, <i>p</i> = 0.77). Through a systematic literature review, 2567 Colombian plant species from the Humboldt Institute's official checklist were evaluated (2501 after removing duplicates and infraspecific taxa), identifying 358 with documented antiviral properties. Phytochemical analysis of 184 characterized species yielded 3267 unique compounds for virtual screening. A dual-endpoint classification strategy categorized compounds into nine activity classes based on combined potency thresholds (Low: pActivity ≤ 5.0, Medium: 5.0 < pActivity ≤ 6.0, High: pActivity > 6.0). <b>Results:</b> The optimized model achieved robust performance (Matthews correlation coefficient: 0.583; ROC-AUC: 0.896), validated through hold-out testing (MCC: 0.576) and Y-randomization (<i>p</i> < 0.01). Virtual screening identified 276 compounds (8.4%) with high predicted potency for both endpoints ("High-High"). Structural novelty analysis revealed that all 276 compounds exhibited Tanimoto similarity < 0.5 to the training set (median: 0.214), representing 145 unique Murcko scaffolds of which 144 (99.3%) were absent from the training data. Application of drug-likeness filtering (QED ≥ 0.5) and applicability domain assessment identified 15 priority candidates. In silico ADMET profiling revealed favorable pharmaceutical properties, with Incartine (pIC<sub>50</sub>: 6.84, pEC<sub>50</sub>: 6.13, QED: 0.83), Bilobalide (pIC<sub>50</sub>: 6.78, pEC<sub>50</sub>: 6.07, QED: 0.56), and Indican (pIC<sub>50</sub>: 6.73, pEC<sub>50</sub>: 6.11, QED: 0.51) exhibiting the highest predicted potencies. <b>Conclusions</b>: This systematic computational screening of Colombian medicinal flora demonstrates the untapped potential of regional biodiversity for anti-dengue drug discovery.
背景/目的:哥伦比亚拥有特殊的植物多样性,包括31,000多种正式确定的物种,其中约6,000种被列为有用植物。其中,2567种具有记录的食物和药物应用,其中一些传统上用于治疗发热性疾病。尽管登革热病毒感染的全球负担每年影响数百万人,但尚未确定特定的抗病毒治疗方法。本研究旨在通过基于机器学习的定量构效关系(QSAR)模型,从哥伦比亚药用植物中鉴定潜在的抗登革热化合物。方法:通过贝叶斯超参数优化(Optuna, 50次试验)开发优化后的XGBoost算法,并对2034条经实验验证具有抗登革热活性(IC50/EC50)的chembls衍生活性记录进行训练。该模型包含887个分子特征,包括43个物理化学描述符和844个ECFP4指纹比特,这些指纹比特是通过方差滤波选择的。IC50和EC50终点基于其药理学差异和可忽略的相关性独立建模(r = -0.04, p = 0.77)。通过系统的文献综述,对洪堡研究所官方清单中的2567种哥伦比亚植物进行了评估(去除重复和种下分类群后的2501种),确定了358种具有记录的抗病毒特性。184种植物化学分析得到3267个独特的虚拟筛选化合物。双终点分类策略根据组合效价阈值将化合物分为9个活性类别(低:pActivity≤5.0,中:5.0 < pActivity≤6.0,高:pActivity > 6.0)。结果:优化后的模型具有稳健性(Matthews相关系数为0.583,ROC-AUC为0.896),经hold-out检验(MCC为0.576)和y -随机化(p < 0.01)验证。虚拟筛选鉴定出276种化合物(8.4%)在两个终点都具有高预测效力(“high - high”)。结构新颖性分析显示,所有276个化合物与训练集的谷本相似性< 0.5(中位数:0.214),代表145个独特的Murcko支架,其中144个(99.3%)在训练数据中缺失。应用药物相似度过滤(QED≥0.5)和适用性领域评估确定了15个优先候选药物。ADMET分析显示了良好的药物性能,其中Incartine (pIC50: 6.84, pEC50: 6.13, QED: 0.83), Bilobalide (pIC50: 6.78, pEC50: 6.07, QED: 0.56)和Indican (pIC50: 6.73, pEC50: 6.11, QED: 0.51)表现出最高的预测效力。结论:哥伦比亚药用植物群的系统计算筛选显示了抗登革热药物发现的区域生物多样性尚未开发的潜力。确定的候选人,代表结构新颖的化学型,优先进行实验验证。
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引用次数: 0
Bassia indica Attenuates Cardiotoxicity in a Rat Model via Anti-Inflammatory, Antioxidant, and Keap1/Nrf2 Modulation. 巴西红通过抗炎、抗氧化和Keap1/Nrf2调节减轻大鼠心脏毒性
IF 4.8 3区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-12-18 DOI: 10.3390/ph18121907
Fayyaz Anjum, Saad Touqeer, QurratUlAin Jamil, Ayesha Rida, Hafiz Muhammad Zubair, Adeel Sarfraz, Saleh Alfuraih, Waad Alrohily, Ali F Almutairy, Ashfaq Ahmad, Mohammed Aufy, Shahid Muhammad Iqbal

Background: Drug-induced cardiotoxicity is a primary concern in clinical practice, especially in the context of oxidative stress induced by anti-cancer, antiviral, and antidiabetic drugs. Several strategies are devised to limit cardiotoxicity, which are supportive and provide symptomatic relief. This highlights the need to develop cardioprotective agents that circumvent the oxidative stress. Bassia indica is a cardiotonic plant with antioxidant properties traditionally used in Africa, South Asia, and China. We investigated its cardioprotective effects against doxorubicin-induced cardiotoxicity (DIC). Methods: B. indica extract (BiE) was analyzed by GC-MS and HPLC. Several antioxidant assays, including DPPH, FRAP, CUPRAC, NO, and H2O2 scavenging, were performed. In vivo attenuation of DIC was assessed in a rat model. Results: BiE contained several bioactive flavonoids, including 2-methoxy-4-vinylphenol, ferulic acid, gallic acid, kaempferol, and coumaric acid. Antioxidant assays demonstrated potent free-radical scavenging and antioxidant activity of BiE, providing mechanistic evidence for its in vivo amelioration of DIC. BiE treatment reduced myocardial oxidative stress by increasing endogenous antioxidant levels (p < 0.01), including SOD, CAT, and GSH. It upregulated Nrf2 and lowered Keap1 levels. This was also reflected in the restoration of cardiac tissue architecture and modulation of inflammatory markers, including IL-1β and TNF-α (p < 0.01). Cardiac tissue biomarkers were also improved. Conclusions: These findings conclude that BiE exerts cardiac protection by reducing oxidative stress and inflammation through modulation of the Keap1/Nrf2 pathway and decreasing the expression of IL-1β and TNF-α.

背景:药物性心脏毒性是临床实践中主要关注的问题,特别是在抗癌、抗病毒和降糖药物引起的氧化应激的背景下。设计了几种策略来限制心脏毒性,这些策略是支持性的,并提供症状缓解。这凸显了开发心脏保护剂来规避氧化应激的必要性。巴西红是一种具有抗氧化特性的强心植物,传统上在非洲、南亚和中国使用。我们研究了其对阿霉素诱导的心脏毒性(DIC)的心脏保护作用。方法:采用气相色谱-质谱联用和高效液相色谱法对籼稻提取物(BiE)进行分析。进行多项抗氧化测定,包括DPPH、FRAP、CUPRAC、NO和H2O2清除。在大鼠模型中评估DIC的体内衰减。结果:BiE含有2-甲氧基-4-乙烯基酚、阿魏酸、没食子酸、山奈酚、香豆酸等多种具有生物活性的黄酮类化合物。抗氧化实验表明,BiE具有强大的自由基清除和抗氧化活性,为其在体内改善DIC提供了机制证据。BiE处理通过增加内源性抗氧化剂水平(SOD、CAT和GSH)降低心肌氧化应激(p < 0.01)。它上调Nrf2并降低Keap1水平。这也反映在心脏组织结构的恢复和炎症标志物的调节,包括IL-1β和TNF-α (p < 0.01)。心脏组织生物标志物也有所改善。结论:BiE可能通过调节Keap1/Nrf2通路,降低IL-1β和TNF-α的表达,从而降低氧化应激和炎症,从而起到保护心脏的作用。
{"title":"<i>Bassia indica</i> Attenuates Cardiotoxicity in a Rat Model via Anti-Inflammatory, Antioxidant, and Keap1/Nrf2 Modulation.","authors":"Fayyaz Anjum, Saad Touqeer, QurratUlAin Jamil, Ayesha Rida, Hafiz Muhammad Zubair, Adeel Sarfraz, Saleh Alfuraih, Waad Alrohily, Ali F Almutairy, Ashfaq Ahmad, Mohammed Aufy, Shahid Muhammad Iqbal","doi":"10.3390/ph18121907","DOIUrl":"10.3390/ph18121907","url":null,"abstract":"<p><p><b>Background</b>: Drug-induced cardiotoxicity is a primary concern in clinical practice, especially in the context of oxidative stress induced by anti-cancer, antiviral, and antidiabetic drugs. Several strategies are devised to limit cardiotoxicity, which are supportive and provide symptomatic relief. This highlights the need to develop cardioprotective agents that circumvent the oxidative stress. <i>Bassia indica</i> is a cardiotonic plant with antioxidant properties traditionally used in Africa, South Asia, and China. We investigated its cardioprotective effects against doxorubicin-induced cardiotoxicity (DIC). <b>Methods</b>: <i>B. indica</i> extract (BiE) was analyzed by GC-MS and HPLC. Several antioxidant assays, including DPPH, FRAP, CUPRAC, NO, and H<sub>2</sub>O<sub>2</sub> scavenging, were performed. In vivo attenuation of DIC was assessed in a rat model. <b>Results</b>: BiE contained several bioactive flavonoids, including 2-methoxy-4-vinylphenol, ferulic acid, gallic acid, kaempferol, and coumaric acid. Antioxidant assays demonstrated potent free-radical scavenging and antioxidant activity of BiE, providing mechanistic evidence for its in vivo amelioration of DIC. BiE treatment reduced myocardial oxidative stress by increasing endogenous antioxidant levels (<i>p</i> < 0.01), including SOD, CAT, and GSH. It upregulated Nrf2 and lowered Keap1 levels. This was also reflected in the restoration of cardiac tissue architecture and modulation of inflammatory markers, including IL-1β and TNF-α (<i>p</i> < 0.01). Cardiac tissue biomarkers were also improved. <b>Conclusions</b>: These findings conclude that BiE exerts cardiac protection by reducing oxidative stress and inflammation through modulation of the Keap1/Nrf2 pathway and decreasing the expression of IL-1β and TNF-α.</p>","PeriodicalId":20198,"journal":{"name":"Pharmaceuticals","volume":"18 12","pages":""},"PeriodicalIF":4.8,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12736070/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145864859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
MicroRNA Signatures and Machine Learning Models for Predicting Cardiotoxicity in HER2-Positive Breast Cancer Patients. 预测her2阳性乳腺癌患者心脏毒性的MicroRNA签名和机器学习模型。
IF 4.8 3区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-12-18 DOI: 10.3390/ph18121908
Maria Anastasiou, Evangelos Oikonomou, Panagiotis Theofilis, Maria Gazouli, George-Angelos Papamikroulis, Athina Goliopoulou, Vasiliki Tsigkou, Vasiliki Skandami, Angeliki Margoni, Kyriaki Cholidou, Amanda Psyrri, Konstantinos Tsioufis, Flora Zagouri, Gerasimos Siasos, Dimitris Tousoulis

Background: HER2-positive breast cancer patients receiving chemotherapy and targeted therapy (including anthracyclines and trastuzumab) face an elevated risk of cardiotoxicity, which can lead to long-term cardiovascular complications. Identifying predictive biomarkers is essential for early intervention. Circulating microRNAs (miRNAs), known regulators of gene expression and cardiovascular function, have emerged as potential indicators of cardiotoxicity. This study aims to evaluate the differential expression of circulating miRNAs in HER2-positive breast cancer patients undergoing chemotherapy and to assess their prognostic ability for therapy-induced cardiotoxicity using machine learning models. Methods: Forty-seven patients were assessed for cardiac toxicity at baseline and every 3 months, up to 15 months. Blood samples were collected at baseline. MiRNA expression profiling for 84 microRNAs was performed using the miRCURY LNA miRNA PCR Panel. Differential expression was calculated via the 2-∆∆Ct method. The five most upregulated and five most downregulated miRNAs were further assessed using univariate logistic regression and receiver operating characteristic (ROC) analysis. Five machine learning models (Decision Tree, Random Forest (RF), Support Vector Machine (SVM), Gradient Boosting Machine (GBM), k-Nearest Neighbors (KNN)) were developed to classify cardiotoxicity based on miRNA expression. Results: Forty-five miRNAs showed significant differential expression between cardiac toxic and non-toxic groups. ROC analysis identified hsa-miR-155-5p (AUC 0.76, p = 0.006) and hsa-miR-124-3p (AUC 0.75, p = 0.007) as the strongest predictors. kNN, SVM, and RF models demonstrated high prognostic accuracy. The decision tree model identified hsa-miR-17-5p and hsa-miR-185-5p as key classifiers. SVM and RF highlighted additional miRNAs associated with cardiotoxicity (SVM: hsa-miR-143-3p, hsa-miR-133b, hsa-miR-145-5p, hsa-miR-185-5p, hsa-miR-199a-5p, RF: hsa-miR-185-5p, hsa-miR-145-5p, hsa-miR-17-5p, hsa-miR-144-3p, and hsa-miR-133a-3p). Performance metrics revealed that SVM, kNN, and RF models outperformed the decision tree in overall prognostic accuracy. Pathway enrichment analysis of top-ranked miRNAs demonstrated significant involvement in apoptosis, p53, MAPK, and focal adhesion pathways, all known to be implicated in chemotherapy-induced cardiac stress and remodeling. Conclusions: Circulating miRNAs show promise as biomarkers for predicting cardiotoxicity in breast cancer patients. Machine learning approaches may enhance miRNA-based risk stratification, enabling personalized monitoring and early cardioprotective interventions.

背景:接受化疗和靶向治疗(包括蒽环类药物和曲妥珠单抗)的her2阳性乳腺癌患者面临心脏毒性升高的风险,这可能导致长期心血管并发症。识别预测性生物标志物对于早期干预至关重要。循环microRNAs (miRNAs)是已知的基因表达和心血管功能的调节因子,已成为心脏毒性的潜在指标。本研究旨在评估her2阳性乳腺癌化疗患者循环mirna的差异表达,并使用机器学习模型评估其治疗性心脏毒性的预后能力。方法:对47例患者在基线和每3个月进行一次心脏毒性评估,直至15个月。在基线时采集血液样本。使用miRCURY LNA MiRNA PCR Panel对84个microrna进行MiRNA表达谱分析。通过2-∆∆Ct法计算差异表达量。使用单变量logistic回归和受试者工作特征(ROC)分析进一步评估5个最上调和最下调的mirna。开发了五种机器学习模型(决策树,随机森林(RF),支持向量机(SVM),梯度增强机(GBM), k-近邻(KNN)),基于miRNA表达对心脏毒性进行分类。结果:45个mirna在心脏毒性和非毒性组中表达有显著差异。ROC分析发现hsa-miR-155-5p (AUC 0.76, p = 0.006)和hsa-miR-124-3p (AUC 0.75, p = 0.007)是最强的预测因子。kNN、SVM和RF模型显示出较高的预测准确性。决策树模型确定hsa-miR-17-5p和hsa-miR-185-5p为关键分类器。SVM和RF强调了与心脏毒性相关的其他mirna (SVM: hsa-miR-143-3p, hsa-miR-133b, hsa-miR-145-5p, hsa-miR-185-5p, hsa-miR-199a-5p, RF: hsa-miR-185-5p, hsa-miR-145-5p, hsa-miR-144-3p和hsa-miR-133a-3p)。性能指标显示,SVM、kNN和RF模型在整体预测准确性方面优于决策树。对排名靠前的mirna进行的途径富集分析表明,凋亡、p53、MAPK和局灶粘附途径均与化疗诱导的心脏应激和重塑有关。结论:循环mirna有望作为预测乳腺癌患者心脏毒性的生物标志物。机器学习方法可以增强基于mirna的风险分层,实现个性化监测和早期心脏保护干预。
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引用次数: 0
Evaluation of Antiproliferative Activity and Molecular Modeling Studies of Some Novel Benzimidazolone-Bridged Hybrid Compounds. 一些新型苯并咪唑酮桥化杂化化合物的抗增殖活性评价及分子模拟研究。
IF 4.8 3区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-12-17 DOI: 10.3390/ph18121899
Okan Güven, Emre Menteşe, Fatih Yılmaz, Adem Güner, Mustafa Emirik, Nedime Çalışkan
<p><p><b>Background/Objectives</b>: Cancer is among the leading causes of mortality worldwide. In 2022 alone, the global cancer death toll stood at 9.74 million. Projections indicate that this figure will rise to 10.4 million by 2025. <b>Methods</b>: A new series of benzimidazolone-bridged hybrid compounds containing thiophene, furan, oxadiazole, piperazine, and coumarin moieties was synthesized and structurally characterized by <sup>1</sup>H-NMR, <sup>13</sup>C-NMR (APT), and elemental analysis. Their cytotoxic effects were evaluated by MTT assay against human lung (A549), human breast (MCF-7), and human cervical (HeLa) cancer cell lines, and the non-cancerous HEK293 cell line after 48 h exposure over a concentration range of 0.5-250 µM. IC<sub>50</sub> values were determined, and Selectivity Indexes (SI) were calculated using HEK293 as the reference normal cell line. Molecular docking studies were carried out using the Glide XP protocol against VEGFR2 (PDB ID: 4ASD) and CDK4-Cyclin D3 (PDB ID: 7SJ3), with sorafenib and abemaciclib as reference inhibitors. <b>Results</b>: The results of anticancer activity were compared with doxorubicin (IC<sub>50</sub> ± SD (µM)/SI: 4.3 ± 0.2/1.20 for A549, 6.4 ± 0.37/0.77 for MCF-7, 3.4 ± 0.19/1.54 for HeLa), a drug used for cancer chemotherapy. The structures of the newly synthesized hybrid compounds were identified by <sup>1</sup>H-NMR, <sup>13</sup>C-NMR (APT), and elemental analysis data. These hybrid compounds represent a promising class of anticancer agents. Several compounds demonstrated marked and concentration-dependent cytotoxicity across all cancer cell lines, with HeLa cells showing the highest overall sensitivity. The introduction of an oxadiazole ring (compound <b>7</b>) and coumarin substituents (compounds <b>12b</b>-<b>12d</b>) markedly improved anticancer activity and selectivity, yielding low-micromolar IC<sub>50</sub> values in HeLa cells (10.6-13.6 µM) and high Selectivity Indexes (SI = 2.0-3.63). Compound <b>6</b> also exhibited balanced potency across A549, MCF-7, and HeLa cells (IC<sub>50</sub> = 28.3-31.2 µM) with SI values ≥ 2.0. Compound <b>9</b> showed strong cytotoxicity across all cancer cell lines; its moderate SI values indicate lower discrimination between malignant and non-malignant cells. Taken together, these findings identified compounds <b>7</b>, <b>12b</b>-<b>12d</b>, <b>6</b>, and <b>12c</b> as the most promising benzimidazolone-based candidates, displaying both potent cytotoxicity and favorable selectivity over non-malignant HEK293 cells. <b>Conclusions</b>: Among the synthesized molecules, the oxadiazole derivative (<b>7</b>) and the coumarin-based hybrids (<b>12b</b>-<b>12d</b>) exhibited the strongest combination of cytotoxic activity and selectivity, reflected by their low IC<sub>50</sub> values and high SI ratios. Notably, compound <b>12c</b> combined strong biological activity with the <i>highest predicted VEGFR2 affinity</i> in the series, highlighting it as a par
背景/目的:癌症是世界范围内死亡的主要原因之一。仅在2022年,全球癌症死亡人数就达到974万人。预测显示,到2025年,这一数字将上升到1040万。方法:合成了一系列新的含噻吩、呋喃、恶二唑、哌嗪和香豆素基团的苯并咪唑酮桥接杂化化合物,并通过1H-NMR、13C-NMR (APT)和元素分析对其进行了结构表征。在0.5-250µM浓度范围内暴露48 h后,采用MTT法评价其对人肺(A549)、人乳腺(MCF-7)、人宫颈癌(HeLa)细胞株和非癌性HEK293细胞株的细胞毒作用。以HEK293为参照正常细胞系,测定IC50值,计算选择性指数(SI)。采用Glide XP方案对VEGFR2 (PDB ID: 4ASD)和CDK4-Cyclin D3 (PDB ID: 7SJ3)进行分子对接研究,以sorafenib和abemaciclib作为参比抑制剂。结果:与肿瘤化疗药物阿霉素(IC50±SD(µM)/SI: A549为4.3±0.2/1.20,MCF-7为6.4±0.37/0.77,HeLa为3.4±0.19/1.54)进行比较。通过1H-NMR、13C-NMR (APT)和元素分析数据对新合成的杂化化合物进行了结构鉴定。这些混合化合物是一类很有前途的抗癌药物。几种化合物在所有癌细胞系中表现出明显的浓度依赖性细胞毒性,其中HeLa细胞表现出最高的总体敏感性。引入一个恶二唑环(化合物7)和香豆素取代基(化合物12b-12d)显著提高了抗癌活性和选择性,在HeLa细胞中产生低微摩尔IC50值(10.6-13.6µM)和高选择性指数(SI = 2.0-3.63)。化合物6在A549、MCF-7和HeLa细胞中也表现出平衡的效价(IC50 = 28.3-31.2µM), SI值≥2.0。化合物9对所有肿瘤细胞系均表现出较强的细胞毒性;其适中的SI值表明恶性和非恶性细胞之间的区别较低。综上所述,这些发现确定化合物7、12b-12d、6和12c是最有希望的以苯并咪唑酮为基础的候选药物,对非恶性HEK293细胞显示出强大的细胞毒性和良好的选择性。结论:在合成的分子中,恶二唑衍生物(7)和香豆素衍生物(12b-12d)的细胞毒活性和选择性组合最强,其IC50值较低,SI比较高。值得注意的是,化合物12c结合了该系列中最强的生物活性和最高的预测VEGFR2亲和力,突出了它是一种特别有前途的支架。虽然化合物9对VEGFR2和CDK4均表现出优异的对接得分,但其较低的选择性表明需要进一步优化结构。总的来说,生物学和计算结果一致确定这些苯并咪唑酮杂交种是未来抗癌优化的可靠的主要候选者。
{"title":"Evaluation of Antiproliferative Activity and Molecular Modeling Studies of Some Novel Benzimidazolone-Bridged Hybrid Compounds.","authors":"Okan Güven, Emre Menteşe, Fatih Yılmaz, Adem Güner, Mustafa Emirik, Nedime Çalışkan","doi":"10.3390/ph18121899","DOIUrl":"10.3390/ph18121899","url":null,"abstract":"&lt;p&gt;&lt;p&gt;&lt;b&gt;Background/Objectives&lt;/b&gt;: Cancer is among the leading causes of mortality worldwide. In 2022 alone, the global cancer death toll stood at 9.74 million. Projections indicate that this figure will rise to 10.4 million by 2025. &lt;b&gt;Methods&lt;/b&gt;: A new series of benzimidazolone-bridged hybrid compounds containing thiophene, furan, oxadiazole, piperazine, and coumarin moieties was synthesized and structurally characterized by &lt;sup&gt;1&lt;/sup&gt;H-NMR, &lt;sup&gt;13&lt;/sup&gt;C-NMR (APT), and elemental analysis. Their cytotoxic effects were evaluated by MTT assay against human lung (A549), human breast (MCF-7), and human cervical (HeLa) cancer cell lines, and the non-cancerous HEK293 cell line after 48 h exposure over a concentration range of 0.5-250 µM. IC&lt;sub&gt;50&lt;/sub&gt; values were determined, and Selectivity Indexes (SI) were calculated using HEK293 as the reference normal cell line. Molecular docking studies were carried out using the Glide XP protocol against VEGFR2 (PDB ID: 4ASD) and CDK4-Cyclin D3 (PDB ID: 7SJ3), with sorafenib and abemaciclib as reference inhibitors. &lt;b&gt;Results&lt;/b&gt;: The results of anticancer activity were compared with doxorubicin (IC&lt;sub&gt;50&lt;/sub&gt; ± SD (µM)/SI: 4.3 ± 0.2/1.20 for A549, 6.4 ± 0.37/0.77 for MCF-7, 3.4 ± 0.19/1.54 for HeLa), a drug used for cancer chemotherapy. The structures of the newly synthesized hybrid compounds were identified by &lt;sup&gt;1&lt;/sup&gt;H-NMR, &lt;sup&gt;13&lt;/sup&gt;C-NMR (APT), and elemental analysis data. These hybrid compounds represent a promising class of anticancer agents. Several compounds demonstrated marked and concentration-dependent cytotoxicity across all cancer cell lines, with HeLa cells showing the highest overall sensitivity. The introduction of an oxadiazole ring (compound &lt;b&gt;7&lt;/b&gt;) and coumarin substituents (compounds &lt;b&gt;12b&lt;/b&gt;-&lt;b&gt;12d&lt;/b&gt;) markedly improved anticancer activity and selectivity, yielding low-micromolar IC&lt;sub&gt;50&lt;/sub&gt; values in HeLa cells (10.6-13.6 µM) and high Selectivity Indexes (SI = 2.0-3.63). Compound &lt;b&gt;6&lt;/b&gt; also exhibited balanced potency across A549, MCF-7, and HeLa cells (IC&lt;sub&gt;50&lt;/sub&gt; = 28.3-31.2 µM) with SI values ≥ 2.0. Compound &lt;b&gt;9&lt;/b&gt; showed strong cytotoxicity across all cancer cell lines; its moderate SI values indicate lower discrimination between malignant and non-malignant cells. Taken together, these findings identified compounds &lt;b&gt;7&lt;/b&gt;, &lt;b&gt;12b&lt;/b&gt;-&lt;b&gt;12d&lt;/b&gt;, &lt;b&gt;6&lt;/b&gt;, and &lt;b&gt;12c&lt;/b&gt; as the most promising benzimidazolone-based candidates, displaying both potent cytotoxicity and favorable selectivity over non-malignant HEK293 cells. &lt;b&gt;Conclusions&lt;/b&gt;: Among the synthesized molecules, the oxadiazole derivative (&lt;b&gt;7&lt;/b&gt;) and the coumarin-based hybrids (&lt;b&gt;12b&lt;/b&gt;-&lt;b&gt;12d&lt;/b&gt;) exhibited the strongest combination of cytotoxic activity and selectivity, reflected by their low IC&lt;sub&gt;50&lt;/sub&gt; values and high SI ratios. Notably, compound &lt;b&gt;12c&lt;/b&gt; combined strong biological activity with the &lt;i&gt;highest predicted VEGFR2 affinity&lt;/i&gt; in the series, highlighting it as a par","PeriodicalId":20198,"journal":{"name":"Pharmaceuticals","volume":"18 12","pages":""},"PeriodicalIF":4.8,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12735921/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145864750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
First-in-Human Phase I Clinical Trial of SLC-391, a Novel and Selective AXL Inhibitor, in Patients with Advanced Solid Tumours. SLC-391(一种新型选择性AXL抑制剂)在晚期实体肿瘤患者中的首次人体I期临床试验
IF 4.8 3区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-12-17 DOI: 10.3390/ph18121898
Zaihui Zhang, Donna Morrison, Liang Lu, Madhu Singh, Jun Yan, Natasha Leighl, Scott A Laurie, Sebastien Hotte

Background/Objectives: AXL, a receptor tyrosine kinase of the TAM family, has emerged as a key target in cancer therapy due to its role in tumour growth, metastasis, immune evasion, and therapy resistance. SLC-391, a novel, orally bioavailable and selective AXL inhibitor, has demonstrated potent anti-tumour effects in preclinical studies. This first-in-human, open-label, multi-centre Phase I clinical trial (NCT03990454) was conducted to evaluate the safety, tolerability, pharmacokinetics (PK), and preliminary efficacy of SLC-391 in patients with advanced solid tumours. Methods: Using a 3 + 3 design, SLC-391 was administered orally, either once daily (from 25 mg up to 175 mg QD) or twice daily (from 75 mg to 200 mg BID) in 21-day cycles. Results: Following single and repeated dosing, SLC-391 was generally well tolerated by subjects. The maximum tolerated dose (MTD) was not reached in this study. A total of 34/35 subjects experienced at least one TEAE. Three (8.6%) subjects experienced Grade 3 TRAEs that were considered related to SLC-391. Eight SAEs were reported in five (14.3%) subjects (seven Grade 3 SAEs and one Grade 2 SAE), in 150 mg QD (3/6, 50%), 175 mg QD (1/2, 50%), and 110 mg BID (1/3, 33.3%) cohorts. Four SAEs in three (8.6%) subjects led to dose interruption, drug withdrawal, or study discontinuation. Three DLTs were reported in two subjects: one subject experienced Grade 3 hematochezia (SUSAR/DLT) at 175 mg QD, and another subject experienced Grade 3 thrombocytopenia associated with Grade 1 hematuria at 200 mg BID. The median Tmax was 2.0 h. Plasma concentrations following multiple doses generally increased with higher doses and appeared to reach steady state by Day 21 and were generally dose-proportional. Twelve (12) out of 35 subjects with solid tumours achieved stable disease according to RECIST or mRECIST (mesothelioma), with durations of stable disease lasting up to 318 days on SLC-391 monotherapy. The clinical benefit rate was 34.3%. Conclusions: This first study of SLC-391 in adult subjects with advanced solid tumours demonstrated that a total daily dose of 300 mg (150 mg BID) of SLC-391 monotherapy was generally well tolerated, with no DLTs or SAEs observed at this dose. The drug's promising safety profile, along with stable disease reported for several subjects with advanced solid tumours, provides a strong rationale for the phase 1b/2a clinical investigation of SLC-391 in combination with pembrolizumab in subjects with advanced or metastatic non-small cell lung cancer (NSCLC) (NCT05860296).

背景/目的:AXL是TAM家族的一种受体酪氨酸激酶,由于其在肿瘤生长、转移、免疫逃避和治疗抵抗中的作用,已成为癌症治疗的关键靶点。SLC-391是一种新型的口服选择性AXL抑制剂,在临床前研究中显示出强大的抗肿瘤作用。这项首个开放标签、多中心的I期临床试验(NCT03990454)旨在评估SLC-391在晚期实体瘤患者中的安全性、耐受性、药代动力学(PK)和初步疗效。方法:采用3 + 3设计,SLC-391在21天的周期内口服,每天1次(从25 mg到175 mg QD)或每天2次(从75 mg到200 mg BID)。结果:在单次和多次给药后,受试者对SLC-391的耐受性普遍良好。本研究未达到最大耐受剂量(MTD)。共有34/35名受试者经历了至少一次TEAE。3名(8.6%)受试者经历了被认为与SLC-391相关的3级trae。在150 mg QD(3/ 6,50%)、175 mg QD(1/ 2,50%)和110 mg BID(1/ 3,33.3%)队列中,5名(14.3%)受试者(7名3级SAE和1名2级SAE)报告了8例SAE。3例(8.6%)受试者中有4例sae导致剂量中断、停药或研究终止。在两名受试者中报告了三例DLT:一名受试者在175 mg QD时出现3级便血(SUSAR/DLT),另一名受试者在200 mg BID时出现3级血小板减少并伴有1级血尿。中位Tmax为2.0 h。多次给药后的血浆浓度通常随着剂量的增加而增加,并在第21天达到稳定状态,并且通常与剂量成正比。根据RECIST或间皮瘤(mRECIST), 35例实体瘤患者中有12例病情稳定,在SLC-391单药治疗下,病情稳定持续时间长达318天。临床有效率为34.3%。结论:SLC-391在晚期实体瘤成人患者中的首次研究表明,SLC-391单药治疗的总日剂量为300 mg (BID为150 mg)通常耐受性良好,在该剂量下未观察到dlt或sae。SLC-391有希望的安全性,以及几例晚期实体瘤患者的病情稳定,为SLC-391联合派姆单抗治疗晚期或转移性非小细胞肺癌(NSCLC) (NCT05860296)患者1b/2a期临床研究提供了强有力的依据。
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引用次数: 0
Potential of Artemisia annua Bioactives as Antiviral Agents Against SARS-CoV-2 and Other Health Complications. 青蒿生物活性物质作为抗病毒药物对抗SARS-CoV-2和其他健康并发症的潜力
IF 4.8 3区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-12-17 DOI: 10.3390/ph18121904
Nehad A Shaer, Amal A Mohamed, Ewald Schnug

This review highlights Artemisia annua, a medicinal plant which grows in the Kingdom of Saudi Arabia, known for its abundant therapeutic properties. A. annua serves as a rich source of various bioactive compounds, including sesquiterpenoid lactones, flavonoids, phenolic acids, and coumarins. Among these, artemisinin and its derivatives are most extensively studied due to their potent antimalarial properties. Extracts and isolates of A. annua have demonstrated a range of therapeutic effects, such as antioxidant, anticancer, anti-inflammatory, antimicrobial, antimalarial, and antiviral properties. Given its significant antiviral activity, A. annua could be investigated for the development of new nutraceutical bioactive compounds to combat SARS-CoV-2. Artificial Intelligence (AI) can assist in drug discovery by optimizing the selection of more effective and safer natural bioactives, including artemisinin. It can also predict potential clinical outcomes through in silico modeling of protein-ligand interactions. In silico studies have reported that artemisinin and its derivatives possess a strong ability to bind with the Lys353 and Lys31 hotspots of the SARS-CoV-2 spike protein, demonstrating their effective antiviral effects against COVID-19. This integrated approach may accelerate the identification of effective and safer natural antiviral agents against COVID-19.

本综述重点介绍了黄花蒿(Artemisia annua),一种生长在沙特阿拉伯王国的药用植物,以其丰富的治疗特性而闻名。黄花菊是多种生物活性化合物的丰富来源,包括倍半萜内酯、类黄酮、酚酸和香豆素。其中,青蒿素及其衍生物因其有效的抗疟疾特性而得到最广泛的研究。黄花蒿的提取物和分离物已经证明了一系列的治疗作用,如抗氧化、抗癌、抗炎、抗菌、抗疟疾和抗病毒特性。鉴于其显著的抗病毒活性,可以对黄花蒿进行研究,以开发新的营养生物活性化合物来对抗SARS-CoV-2。人工智能(AI)可以通过优化选择更有效和更安全的天然生物活性物质(包括青蒿素)来协助药物发现。它还可以通过蛋白质-配体相互作用的计算机模拟来预测潜在的临床结果。有计算机研究报道,青蒿素及其衍生物具有很强的与SARS-CoV-2刺突蛋白Lys353和Lys31热点结合的能力,表明其对COVID-19具有有效的抗病毒作用。这种综合方法可加速确定有效和更安全的天然抗病毒药物。
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引用次数: 0
Pridopidine, a Potent and Selective Therapeutic Sigma-1 Receptor (S1R) Agonist for Treating Neurodegenerative Diseases. 一种治疗神经退行性疾病的有效和选择性的Sigma-1受体(S1R)激动剂
IF 4.8 3区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-12-17 DOI: 10.3390/ph18121900
Noga Gershoni Emek, Andrew M Tan, Michal Geva, Andrea Fekete, Carmen Abate, Michael R Hayden

Pridopidine is a highly selective sigma-1 receptor (S1R) agonist in clinical development for Huntington's disease (HD) and amyotrophic lateral sclerosis (ALS). The S1R is a ubiquitous chaperone protein enriched in the central nervous system and regulates multiple pathways critical for neuronal cell function and survival, including cellular stress responses, mitochondrial function, calcium signaling, protein folding, and autophagy. S1R has a crucial role in the ER mitochondria-associated membrane (MAM), whose dysfunction is implicated in several neurodegenerative diseases. By activating the S1R, pridopidine corrects multiple cellular pathways necessary to the cell's ability to respond to stress, which are disrupted in neurodegenerative diseases. Pridopidine restores MAM integrity; rescues Ca2+ homeostasis and autophagy; mitigates ER stress, mitochondrial dysfunction, and oxidative damage; and enhances brain-derived neurotrophic factor (BDNF) axonal transport and secretion, synaptic plasticity, and dendritic spine density. Pridopidine demonstrates neuroprotective effects in in vivo models of neurodegenerative diseases (NDDs). Importantly, pridopidine demonstrates the biphasic dose response characteristic of S1R agonists. In clinical trials in HD and ALS, pridopidine has shown benefits across multiple endpoints. Pridopidine's mechanism of action, modulating core cellular survival pathways, positions it as a promising candidate for disease modification for different nervous system disorders. Its broad therapeutic potential includes neurodevelopmental disorders, and rare diseases including Wolfram syndrome, Rett syndrome, and Vanishing White Matter Disease. Here, we review the experimental data demonstrating pridopidine's S1R-mediated neuroprotective effects. These findings underscore the therapeutic relevance of S1R activation and support further investigation of pridopidine for the treatment of different neurodegenerative diseases including ALS and HD.

Pridopidine是一种高选择性sigma-1受体(S1R)激动剂,用于亨廷顿病(HD)和肌萎缩侧索硬化症(ALS)的临床开发。S1R是一种在中枢神经系统中普遍存在的伴侣蛋白,它调节对神经元细胞功能和存活至关重要的多种途径,包括细胞应激反应、线粒体功能、钙信号、蛋白质折叠和自噬。S1R在内质网线粒体相关膜(MAM)中起着至关重要的作用,其功能障碍与几种神经退行性疾病有关。通过激活S1R, pridopidine纠正了细胞应对压力能力所必需的多种细胞通路,这些通路在神经退行性疾病中被破坏。哌啶恢复MAM完整性;挽救Ca2+稳态和自噬;减轻内质网应激、线粒体功能障碍和氧化损伤;增强脑源性神经营养因子(BDNF)轴突转运和分泌、突触可塑性和树突棘密度。哌啶在神经退行性疾病(ndd)的体内模型中显示出神经保护作用。重要的是,哌啶显示了S1R激动剂的双相剂量反应特征。在HD和ALS的临床试验中,哌啶在多个终点显示出益处。Pridopidine的作用机制,调节核心细胞存活途径,使其成为治疗不同神经系统疾病的有希望的候选药物。其广泛的治疗潜力包括神经发育障碍和罕见疾病,包括Wolfram综合征,Rett综合征和消失的白质病。在这里,我们回顾了实验数据,证明pridopidine的s1r介导的神经保护作用。这些发现强调了S1R激活的治疗相关性,并支持进一步研究哌啶治疗包括ALS和HD在内的不同神经退行性疾病。
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