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Editorial: Natural medicines for metabolic diseases - computational and pharmacological approaches, Volume II. 社论:代谢疾病的天然药物-计算和药理学方法,第二卷。
IF 4.8 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2026-02-27 eCollection Date: 2026-01-01 DOI: 10.3389/fphar.2026.1799670
Antony Stalin, Christudas Sunil, Abd El-Latif Hesham, Savarimuthu Ignacimuthu, Quan Zou, Yansu Wang
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引用次数: 0
Antibody-enabled structural biology and AI-driven antibody design. 基于抗体的结构生物学和ai驱动的抗体设计。
IF 4.8 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2026-02-27 eCollection Date: 2026-01-01 DOI: 10.3389/fphar.2026.1773629
Khuram U Ashraf, Satchal K Erramilli

Membrane proteins govern essential cellular processes, including ion transport, signal transduction, and molecular recognition, and collectively represent more than half of all current therapeutic targets. Yet their structural characterization remains challenging due to intrinsic instability, amphipathic surfaces, and conformational heterogeneity. Over the past decade, antibody-based approaches, spanning full-length immunoglobulins, antigen-binding fragments (Fabs), nanobodies, and engineered scaffolds such as designed ankyrin repeat proteins (DARPins), have transformed structural biology by stabilizing dynamic states, augmenting molecular weight for cryo-electron microscopy (cryo-EM), and enabling visualization of previously inaccessible complexes. In parallel, advances in artificial intelligence and machine learning have begun to enhance predictive modeling, accelerate structure determination, and guide rational design of protein-ligand and antibody-antigen interactions. This review examines how antibody engineering and AI-driven computation together are reshaping the landscape of structural biology and therapeutic discovery.

膜蛋白控制着基本的细胞过程,包括离子转运、信号转导和分子识别,它们共同代表了目前所有治疗靶点的一半以上。然而,由于其固有的不稳定性、两相表面和构象异质性,它们的结构表征仍然具有挑战性。在过去的十年中,基于抗体的方法,包括全长免疫球蛋白,抗原结合片段(fab),纳米体和工程支架,如设计的锚蛋白重复蛋白(DARPins),通过稳定动态状态,增加低温电子显微镜(cro - em)的分子量,以及使以前难以接近的复合物可视化,已经改变了结构生物学。与此同时,人工智能和机器学习的进步已经开始增强预测建模,加速结构确定,并指导蛋白质-配体和抗体-抗原相互作用的合理设计。这篇综述探讨了抗体工程和人工智能驱动的计算如何共同重塑结构生物学和治疗发现的景观。
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引用次数: 0
IR-780 improves urination function and complications in rats with partial bladder outlet obstruction by protecting bladder smooth muscle cell mitochondria from oxidative stress. IR-780通过保护膀胱平滑肌细胞线粒体免受氧化应激,改善部分膀胱出口梗阻大鼠的排尿功能和并发症。
IF 4.8 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2026-02-27 eCollection Date: 2026-01-01 DOI: 10.3389/fphar.2026.1778496
Feng Pi, Benhuang Yan, Min Jia, Yuan Liu, Shuang Tang, Zhihong Huang, Qiang Fang, Chunmeng Shi, Weibing Li

Introduction: Partial bladder outlet obstruction (pBOO) is the most common cause of lower urinary tract symptoms (LUTS). Prolonged BOO induces bladder remodeling, which can lead to severe bladder dysfunction and refractory LUTS in some patients, even after obstruction resolution. This condition significantly impairs patients' quality of life, and no effective treatment is currently available. This study investigated a pBOO rat model using IR-780, a novel near-infrared lipophilic dye with potential targeted antioxidant effects.

Methods: A partial ligation of the rat bladder neck was performed to establish a pBOO model. After confirming successful modeling, the rats were randomly divided into sham, sham + IR-780, pBOO, and pBOO + IR-780 groups (eight rats per group). One week post-surgery, rats received intraperitoneal injections of IR-780 (0.667 mg/kg) or an equivalent volume of phosphate buffered saline solution twice weekly for 3 weeks. Before evaluating efficacy using the bladder filling manometry method, we examined the distribution of IR-780 in tissues and subcellular compartments via confocal fluorescence imaging.

Results: IR-780 accumulated at high levels in the bladders of rats with pBOO, where it was primarily taken up by bladder smooth muscle cells (BSMCs) and localized within the mitochondria. Bladder pressure measurements revealed that IR-780 significantly improved bladder function in rats with pBOO. IR-780 effectively mitigated pathological changes in bladder smooth muscle tissue and concurrently alleviated pBOO-induced reflux nephropathy. In vitro and in vivo experiments confirmed that IR-780 significantly reduced apoptosis in BSMCs. Moreover, cryosection staining and transmission electron microscopy results demonstrated that IR-780 markedly decreased reactive oxygen species levels in BSMCs from rats with pBOO, prevented mitochondrial mass and morphological damage, and significantly reduced the levels of mitochondrial apoptosis pathway-related proteins (Bcl-2, Bcl-2-associated X, cytochrome C, and Caspase-9). We found that IR-780 upregulated the expression of nuclear factor erythroid 2-related factor 2 (Nrf2) and its associated antioxidant proteins in the bladder tissue of rats with pBOO.

Conclusion: IR-780 improved urinary function and complications in rats with pBOO by protecting BSMC mitochondria from oxidative stress, which was potentially mediated through the activation of the Nrf2 pathway.

部分膀胱出口梗阻(pBOO)是引起下尿路症状(LUTS)的最常见原因。长时间的BOO诱导膀胱重塑,即使在梗阻消除后,也会导致一些患者出现严重的膀胱功能障碍和难治性LUTS。这种情况严重影响患者的生活质量,目前尚无有效的治疗方法。本研究使用具有潜在靶向抗氧化作用的新型近红外亲脂性染料IR-780对pBOO大鼠模型进行了研究。方法:采用膀胱颈部分结扎法建立pBOO模型。在确认造模成功后,将大鼠随机分为sham组、sham + IR-780组、pBOO组、pBOO + IR-780组,每组8只。术后1周,大鼠腹腔注射IR-780 (0.667 mg/kg)或等量的磷酸盐缓冲盐水溶液,每周2次,连续3周。在使用膀胱填充测压法评估疗效之前,我们通过共聚焦荧光成像检查了IR-780在组织和亚细胞区室中的分布。结果:IR-780在pBOO大鼠的膀胱中高水平积累,主要被膀胱平滑肌细胞(BSMCs)吸收,并定位于线粒体内。膀胱压力测量显示IR-780显著改善pBOO大鼠的膀胱功能。IR-780可有效减轻膀胱平滑肌组织的病理改变,同时可减轻pbu诱导的反流性肾病。体外和体内实验证实IR-780可显著减少BSMCs的凋亡。此外,冷冻染色和透射电镜结果表明,IR-780显著降低pBOO大鼠BSMCs中的活性氧水平,防止线粒体质量和形态损伤,并显著降低线粒体凋亡途径相关蛋白(Bcl-2、Bcl-2相关X、细胞色素C和Caspase-9)的水平。我们发现IR-780上调pBOO大鼠膀胱组织核因子红细胞2相关因子2 (Nrf2)及其相关抗氧化蛋白的表达。结论:IR-780通过保护BSMC线粒体免受氧化应激的影响,改善pBOO大鼠的泌尿功能和并发症,氧化应激可能通过激活Nrf2途径介导。
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引用次数: 0
Prediction of site-specific drug deposition via dry powder inhaler using non-invasive real-time particle emission signal monitoring system. 使用无创实时颗粒排放信号监测系统预测干粉吸入器部位特异性药物沉积。
IF 4.8 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2026-02-27 eCollection Date: 2026-01-01 DOI: 10.3389/fphar.2026.1774142
Sakiko Hatazoe, Daiki Hira, Tetsuri Kondo, Yuki Shigetsura, Natsuki Imayoshi, Yurie Katsube, Keiko Ikuta, Yuki Kunitsu, Keisuke Umemura, Satoshi Hamada, Satoshi Ueshima, Shunsaku Nakagawa, Masahiro Tsuda, Susumu Sato, Mikio Kakumoto, Tomohiro Terada

Background: Accurate evaluation of regional drug deposition within the respiratory tract is essential for optimizing inhalation therapy efficacy and minimizing adverse effects. However, non-invasive, real-time quantitative methods for site-specific drug delivery assessment remain limited.

Objective: To develop mathematical models to predict site-specific drug deposition from a dry powder inhaler (DPI) using a non-invasive, real-time photo reflection method (PRM).

Methods: Using Symbicort® Turbuhaler® as a model DPI, four inhalation patterns varying in peak flow rate (PFR: 30-60 L/min) and flow increase rate (FIR: 3.2-9.6 L/s2) were simulated using a human inhalation flow simulator. Aerodynamic particle deposition of budesonide was quantified as the fine particle fraction for the whole lung (FPFWL), peripheral airways (FPFPA), and oropharyngeal region using an Andersen Cascade Impactor. Particle emission signals were monitored via PRM. The relationship between particle emission signals and deposition performance was analyzed using four univariate models: linear, logarithmic, Hill, and Emax.

Results: Increased PFR and FIR enhanced drug deposition in both the lungs and oropharyngeal region. FPFWL and FPFPA were strongly correlated with total particle emission intensity over time with the Hill model (R 2 = 0.86 and 0.74 for FPFWL and FPFPA, respectively), reflecting nonlinear deagglomeration. Oropharyngeal deposition correlated with flow rate at particle emission peak, fitting a linear model (R 2 = 0.82), consistent with inertial impaction mechanisms.

Conclusion: Using an in-vitro model, particle emission signals enable the prediction of site-specific drug deposition from DPI, providing non-invasive, real-time indices and offering personalized inhalation performance assessment beyond conventional flow rate metrics.

背景:准确评估呼吸道内局部药物沉积对于优化吸入治疗效果和减少不良反应至关重要。然而,用于特定部位给药评估的非侵入性、实时定量方法仍然有限。目的:利用无创实时光反射法(PRM)建立预测干粉吸入器(DPI)部位特异性药物沉积的数学模型。方法:以Symbicort®Turbuhaler®为模型DPI,采用人体吸入流动模拟器模拟4种不同峰值流速(PFR: 30 ~ 60 L/min)和流量增加速率(FIR: 3.2 ~ 9.6 L/s2)的吸入模式。使用Andersen级联冲击器将布地奈德的空气动力学颗粒沉积量化为全肺(FPFWL)、外周气道(FPFPA)和口咽区域的细颗粒分数。粒子发射信号通过PRM监测。采用线性、对数、Hill和Emax四种单变量模型分析了颗粒发射信号与沉积性能之间的关系。结果:PFR和FIR的增加增强了肺部和口咽区的药物沉积。根据Hill模型,FPFWL和FPFPA与总颗粒排放强度随时间的变化呈强相关(r2分别为0.86和0.74),反映了非线性解聚。口咽沉积与颗粒排放峰流速相关,符合线性模型(r2 = 0.82),符合惯性撞击机制。结论:通过体外模型,颗粒发射信号能够预测DPI的部位特异性药物沉积,提供无创、实时的指标,并提供超越传统流速指标的个性化吸入性能评估。
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引用次数: 0
Recent developments in quercetin nanomedicine and applications in osteoarthritis and rheumatoid arthritis therapies. 槲皮素纳米药物的研究进展及其在骨关节炎和类风湿性关节炎治疗中的应用。
IF 4.8 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2026-02-27 eCollection Date: 2026-01-01 DOI: 10.3389/fphar.2026.1790233
Yuan Zhu, Hongxuan Chen, Yuanling Yi, Fuhui Zhou, Wenzhi Zhou, Shenghui Zhong

Quercetin has attracted increasing attention in the research of treatments for rheumatoid arthritis and osteoarthritis due to its excellent anti-inflammatory, antioxidant, and joint-protective effects. However, the bioavailability of quercetin is relatively low, primarily due to its poor solubility, rapid metabolism, and high clearance rate. Nanotechnology offers new opportunities to enhance the bioavailability of quercetin. Nanoformulations possess many advantages, such as a larger surface area, which can effectively improve the solubility of quercetin. Encapsulating quercetin in nanocarriers can prolong its residence time in the body, thereby improving its bioavailability and therapeutic efficacy. Targeted delivery can be achieved by modifying the surface of nanocarriers with ligands, allowing for direct transport of the drug to the site of injury and increasing the concentration at the lesion site. Nanocarriers can improve drug targeting and release behavior by adjusting their surface properties, thereby enhancing therapeutic effects. This article first summarizes the general preparation methods, drug-loading approaches, and common nanoformulations for quercetin. It then lists and summarizes the applications of quercetin nanoparticle formulations in rheumatoid arthritis and osteoarthritis. Finally, it concludes with a summary and outlook on the clinical applications and challenges associated with quercetin nanoformulations.

槲皮素因其良好的抗炎、抗氧化和关节保护作用,在类风湿关节炎和骨关节炎的治疗研究中越来越受到重视。然而,槲皮素的生物利用度相对较低,主要是由于其溶解度差,代谢快,清除率高。纳米技术为提高槲皮素的生物利用度提供了新的机会。纳米制剂具有许多优点,如更大的表面积,可以有效地提高槲皮素的溶解度。槲皮素包被纳米载体可以延长槲皮素在体内的停留时间,从而提高槲皮素的生物利用度和治疗效果。靶向递送可以通过用配体修饰纳米载体的表面来实现,允许药物直接运输到损伤部位并增加损伤部位的浓度。纳米载体可以通过调节其表面性质来改善药物的靶向和释放行为,从而提高治疗效果。本文首先综述了槲皮素的一般制备方法、载药途径和常用的纳米制剂。综述了槲皮素纳米颗粒制剂在类风湿关节炎和骨关节炎中的应用。最后,对槲皮素纳米制剂的临床应用和面临的挑战进行了总结和展望。
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引用次数: 0
Early administration of shenfu injection for the incidence of sepsis-induced cardiomyopathy in septic patients: a randomized controlled trial. 早期给予参附注射液对脓毒症患者败血症性心肌病发生率的影响:一项随机对照试验。
IF 4.8 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2026-02-27 eCollection Date: 2026-01-01 DOI: 10.3389/fphar.2026.1682246
Yaohui Liu, Yujie Fang, Shuliang Zhou, Yao Zhu, Jing Wang, Bo Hu

Background: Sepsis-induced cardiomyopathy (SIC) is a severe complication of sepsis that markedly increases mortality. Owing to its complex pathogenesis, no targeted drugs for SIC is currently available, highlighting the need for preventive interventions. This study aimed to evaluate whether early administration of Shenfu Injection (SFI) could prevent SIC.

Methods: Patients diagnosed with sepsis 3.0 upon intensive care unit (ICU) admission but without SIC were randomly assigned to either the SFI group or control group via envelope randomization. The SFI group received intravenous SFI (200 mL/day) in addition to standard sepsis or septic shock management for 7 days (minimum 72 h if discontinued due to ICU transfer or death). The control group received an equivalent volume of saline alongside standard care. The primary outcome was the incidence of SIC within 7 days.

Results: A total of 152 patients (76 per group) were analyzed. The incidence of SIC within 7 days was 9.2% in both groups. In the generalized linear mixed model (GLMM) adjusted for gender, age, septic shock and the baseline value of N-terminal pro-B-type natriuretic peptide (NT-proBNP), the interaction between time and group had a significant effect on NT-proBNP levels (P = 0.004). No significant differences were observed between groups in hemodynamic parameters, immune inflammatory indicators, organ function, vasoactive drug use, 7-day fluid balance, 28-day mortality, duration of mechanical ventilation, continuous renal replacement therapy duration, ICU stay, or total hospital stay.

Conclusion: Early application of SFI did not significantly reduce the incidence of SIC in ICU patients with sepsis.

Clinical trial registration: [https://www.chictr.org.cn/], identifier [ChiCTR2400088766].

背景:脓毒症引起的心肌病(SIC)是脓毒症的严重并发症,可显著增加死亡率。由于其复杂的发病机制,目前还没有针对SIC的靶向药物,这突出了预防性干预措施的必要性。本研究旨在评估早期给予参附注射液(SFI)是否可以预防SIC。方法:将重症监护病房(ICU)入院时诊断为脓毒症3.0但无SIC的患者随机分为SFI组和对照组。SFI组在标准脓毒症或感染性休克治疗的基础上静脉注射SFI (200 mL/天)7天(如果因ICU转移或死亡而停止治疗,则至少72小时)。对照组患者在接受标准治疗的同时给予等量生理盐水。主要观察指标为7天内SIC的发生率。结果:共分析152例患者,每组76例。两组7天内SIC的发生率均为9.2%。在性别、年龄、感染性休克和n端前b型利钠肽(NT-proBNP)基线值调整后的广义线性混合模型(GLMM)中,时间和组间的交互作用对NT-proBNP水平有显著影响(P = 0.004)。两组间血流动力学参数、免疫炎症指标、器官功能、血管活性药物使用、7天体液平衡、28天死亡率、机械通气时间、持续肾脏替代治疗时间、ICU住院时间、总住院时间均无显著差异。结论:早期应用SFI并不能显著降低ICU脓毒症患者SIC的发生率。临床试验注册:[https://www.chictr.org.cn/]],标识符[ChiCTR2400088766]。
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引用次数: 0
Dasatinib and quercetin mitigate radiation-induced lung injury by eliminating senescent cells in a rat model. 达沙替尼和槲皮素通过消除大鼠模型中的衰老细胞来减轻辐射诱导的肺损伤。
IF 4.8 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2026-02-27 eCollection Date: 2026-01-01 DOI: 10.3389/fphar.2026.1748788
Jing Liu, Xue Ren, Hengjiao Wang, Defu Yang, Ying Yan, Ying Xu

Background: Radiation-induced lung injury (RILI) is a major dose-limiting toxicity in thoracic radiotherapy, and accumulating evidence implicates radiation-induced cellular senescence in its pathogenesis. This study aimed to investigate whether combination therapy with dasatinib and quercetin (DQ) could mitigate RILI by reducing senescent cell burden.

Methods: A rat model of RILI was established using a single 30 Gy irradiation to the right lung. Pulmonary pathological changes, fibrosis, DNA damage, and cellular senescence were assessed by histology, immunofluorescence, senescence-associated β-galactosidase staining, Western blotting and immunohistochemistry. Transcriptomic profiling was performed to explore the underlying molecular mechanisms.

Results: Compared with irradiation alone, DQ treatment significantly alleviated radiation-induced inflammatory cell infiltration and collagen deposition, reduced γH2AX levels, decreased senescence-associated markers p53, p21, and p16, and suppressed multiple senescence-associated secretory phenotype (SASP) factors. Transcriptomic analysis indicated that DQ-mediated effects were closely associated with activation of apoptotic pathways and modulation of p53, MAPK, PI3K-Akt and mitophagy signaling cascades.

Conclusion: DQ attenuated RILI in rats, with effects consistent with the reduced radiation-induced senescent cells and suppression of senescence-associated inflammatory responses.

背景:辐射致肺损伤(RILI)是胸部放射治疗中一种主要的剂量限制性毒性,越来越多的证据表明其发病机制与辐射诱导的细胞衰老有关。本研究旨在探讨达沙替尼和槲皮素(DQ)联合治疗是否可以通过减少衰老细胞负荷来减轻RILI。方法:采用30 Gy单次照射右肺建立大鼠RILI模型。通过组织学、免疫荧光、衰老相关β-半乳糖苷酶染色、免疫印迹和免疫组织化学评估肺病理改变、纤维化、DNA损伤和细胞衰老。进行转录组学分析以探索潜在的分子机制。结果:与单独照射相比,DQ治疗显著减轻了辐射诱导的炎症细胞浸润和胶原沉积,降低了γ - h2ax水平,降低了衰老相关标志物p53、p21和p16,抑制了多种衰老相关分泌表型(SASP)因子。转录组学分析表明,dq介导的效应与凋亡通路的激活以及p53、MAPK、PI3K-Akt和有丝分裂信号级联的调节密切相关。结论:DQ可减轻大鼠RILI,其作用与减少辐射诱导的衰老细胞和抑制衰老相关炎症反应一致。
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引用次数: 0
Ketoprofen-loaded quatsomes as a smart repurposed antifungal therapy for vaginal infections: formulation, characterization, and microbiological evaluation. 酮洛芬负载的准体作为一种智能的重新用途的抗真菌治疗阴道感染:配方,表征和微生物学评价。
IF 4.8 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2026-02-27 eCollection Date: 2026-01-01 DOI: 10.3389/fphar.2026.1767624
Alaa Emad Eldeeb, Diana E Aziz, Mariam Hassan, Osama Saher, Sadek Ahmed

Introduction: Vulvovaginal candidiasis (VVC) is one of the most common fungal infections requiring more effective and patient-friendly therapies. This study introduces repurposed Ketoprofen (KPN) Quatsomes (QS) as a novel nano-platform for localized antifungal treatment.

Methods: KPN-QS were prepared using quaternary ammonium surfactants and cholesterol via probe sonication and optimized through a 31 × 22 mixed factorial design using Design-Expert® software. The effects of quaternary ammonium surfactant type (factor A), amount of vesicle-forming materials (factor B), and cholesterol-to-surfactant ratio (factor C) were evaluated to maximize entrapment efficiency and zeta potential, while minimizing particle size.

Results: The optimized QS exhibited spherical nano-sized vesicles (113.7 nm) with high entrapment efficiency (96.8%) and strong positive zeta potential (72.5 mV), ensuring stability and enhanced mucosal adhesion. TEM confirmed the spherical morphology, and in vitro release showed biphasic behaviour with 86.5% release after 8 h, alongside excellent storage stability. Repurposing KPN as an antifungal agent significantly enhanced both in vitro and in vivo microbiological efficacy. The formulation displayed promising MIC values against Candida albicans and markedly improved antifungal performance in vivo VVC model. The KPN-QS group exhibited 4.807 and 2.941 log reductions in fungal count compared to the negative control and KPN suspension, respectively, with complete eradication in three rats after 72 h. Histopathological analysis confirmed the safety of QS on vaginal mucosa.

Conclusion: Collectively, repurposed KPN-QS constitute a stable, biocompatible nanocarrier for targeted vaginal delivery, demonstrating superior antifungal activity and therapeutic potential in VVC.

外阴阴道念珠菌病(VVC)是最常见的真菌感染之一,需要更有效和患者友好的治疗。本研究介绍了重新利用的酮洛芬(KPN)准体(QS)作为局部抗真菌治疗的新型纳米平台。方法:以季铵表面活性剂和胆固醇为原料,采用探针超声法制备KPN-QS,采用design - expert®软件进行31 × 22混合因子设计优化。考察了季铵表面活性剂类型(因子A)、囊泡形成材料数量(因子B)和胆固醇与表面活性剂比(因子C)的影响,以最大限度地提高包封效率和zeta电位,同时最小化粒径。结果:优化后的QS为球形纳米囊泡(113.7 nm),包封效率高达96.8%,zeta电位高达72.5 mV,具有良好的稳定性和增强的粘膜粘附性。透射电镜证实其呈球形,体外释放表现为双相行为,8 h后释放量为86.5%,具有良好的储存稳定性。将KPN作为一种抗真菌剂,可显著提高体外和体内微生物学功效。该制剂对白色念珠菌显示出良好的MIC值,并显著提高了体内VVC模型的抗真菌性能。与阴性对照和KPN悬液相比,KPN-QS组真菌数量分别减少4.807和2.941 log, 72 h后3只大鼠完全根除。组织病理学分析证实了QS对阴道粘膜的安全性。结论:重组后的KPN-QS是一种稳定的、具有生物相容性的靶向阴道递送纳米载体,在VVC中具有良好的抗真菌活性和治疗潜力。
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引用次数: 0
Epigenetic and mitoepigenetic regulation in cancer and therapeutic perspectives. 癌症的表观遗传和有丝分裂表观遗传调控及其治疗前景。
IF 4.8 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2026-02-27 eCollection Date: 2026-01-01 DOI: 10.3389/fphar.2026.1760013
Selcen Celik-Uzuner, Ihsan Nalkiran, Ugur Uzuner, Hatice Sevim Nalkiran

Epigenetic modifications on nuclear and mitochondrial DNA constitute key regulatory layers influencing the transcriptional, metabolic, and phenotypic adaptability of cancer cells. The canonical principles of epigenetic control encompass DNA methylation, histone modification, and non-coding RNA-mediated regulation, which collectively contribute to the silencing of tumor suppressor genes, the activation of oncogenes, and chromatin remodeling. Therefore, epigenetic drugs (epi-drugs) are of great interest in the development of new-generation therapeutics and holistic treatment approaches. Accordingly, this work presents a narrative review that integrates current evidence on the molecular mechanisms, therapeutic developments, and translational relevance of epigenetic and mitoepigenetic regulation in cancer. RNA-mediated regulation collectively contributes to the silencing of tumor suppressor genes and to the activation of oncogenes. The field of mitoepigenetics encompasses mitochondrial DNA (mtDNA) methylation, RNA modifications, and post-translational regulation of mitochondrial proteins such as TFAM, DNMT1, and sirtuins, which influence oxidative phosphorylation, redox balance, and apoptotic pathways, thereby affecting tumor initiation, progression, and treatment response. Recent advances in epigenetic drug development include FDA-approved DNMT and HDAC inhibitors and newer agents targeting EZH2, IDH1/2, and DOT1L, which broaden the scope of precision oncology. In addition, modulation of mitochondrial epigenetic mechanisms has been identified as a potential approach for addressing metabolic reprogramming and therapeutic resistance in cancer. The convergence of nuclear and mitochondrial regulatory frameworks reveals the critical need for biomarker-informed, combinatory, and organelle-targeted therapeutic approaches to sustain treatment efficacy. Comprehensive characterization and pharmacological targeting of epigenetic and mitoepigenetic networks provide a structured basis for developing personalized and metabolism-informed interventions in cancer therapy.

细胞核和线粒体DNA的表观遗传修饰是影响癌细胞转录、代谢和表型适应性的关键调控层。表观遗传控制的规范原则包括DNA甲基化、组蛋白修饰和非编码rna介导的调控,它们共同有助于肿瘤抑制基因的沉默、癌基因的激活和染色质重塑。因此,表观遗传药物(epi-drugs)在新一代治疗方法和整体治疗方法的发展中具有重要意义。因此,这项工作提出了一个叙述性的回顾,整合了目前的证据在分子机制,治疗的发展,并在癌症的表观遗传和有丝分裂表观遗传调控的翻译相关性。rna介导的调控共同有助于肿瘤抑制基因的沉默和癌基因的激活。线粒体表观遗传学领域包括线粒体DNA (mtDNA)甲基化、RNA修饰和线粒体蛋白(如TFAM、DNMT1和sirtuins)的翻译后调控,这些蛋白影响氧化磷酸化、氧化还原平衡和凋亡途径,从而影响肿瘤的发生、进展和治疗反应。表观遗传药物开发的最新进展包括fda批准的DNMT和HDAC抑制剂以及针对EZH2, IDH1/2和DOT1L的新药,这些药物拓宽了精确肿瘤学的范围。此外,线粒体表观遗传机制的调节已被确定为解决癌症代谢重编程和治疗耐药的潜在途径。核和线粒体调控框架的趋同表明,迫切需要生物标志物信息、组合和细胞器靶向治疗方法来维持治疗效果。表观遗传和有丝分裂表观遗传网络的综合表征和药理靶向为开发个性化和代谢知情的癌症治疗干预提供了结构化的基础。
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引用次数: 0
Machine learning-assisted analysis of serum metabolomics for identifying biomarkers in intrinsic and idiosyncratic drug-induced liver injury. 机器学习辅助血清代谢组学分析用于识别内在和特异性药物性肝损伤的生物标志物。
IF 4.8 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2026-02-27 eCollection Date: 2025-01-01 DOI: 10.3389/fphar.2025.1727462
Xianni Wei, Jinbao Wei, Yuhong Huang, Siheng Lian
<p><strong>Objective: </strong>This project aims to employ high-performance chemical isotope labeling (HP-CIL) liquid chromatography-mass spectrometry (LC-MS) to conduct a metabolomic study on the mechanisms underlying intrinsic and idiosyncratic drug-induced liver injury (DILI). By comparing the metabolic characteristics between these two types of DILI, we seek to identify biomarkers for predicting intrinsic and idiosyncratic DILI using machine learning strategies.</p><p><strong>Methods: </strong>Based on the diagnostic criteria outlined in the EASL clinical practice guidelines on drug-induced liver injury, a review published in NEJM, enrolled DILI cases were classified according to the pathogenic mechanism into an intrinsic type (n = 17) and an idiosyncratic type (n = 27). Serum samples were collected from both groups. Metabolomic profiling was performed using high-performance chemical isotope labeling liquid chromatography-mass spectrometry (HP-CIL LC-MS) to identify differentially expressed metabolites between the two groups. Metabolites that showed significance in both univariate and multivariate statistical analyses were selected for further receiver operating characteristic (ROC) analysis. Machine learning approaches were employed to develop diagnostic models for distinguishing intrinsic and idiosyncratic DILI. These models were compared to identify potential biomarkers capable of discriminating between the two types of DILI, and the diagnostic performance of these candidate biomarkers was evaluated.</p><p><strong>Result: </strong>Serum metabolomic profiling identified four differential metabolites that distinguished intrinsic from idiosyncratic DILI through multivariate and univariate statistical analyses, followed by ROC curve analysis and machine learning-based selection. These potential biomarkers included Alanyl-Glycine (level 1),N2-Acetyl-L-Cystathionine (level 2a), Isomer 1 of 5-Hydroxyindoleacetic acid (level 2a), and Isomer 1 of 5-Hydroxyindoleacetic acid (level 2a). ROC analysis using multiple machine learning models yielded area under the curve (AUC) values greater than 0.8 for all models, indicating high diagnostic performance. Under a multivariate regression model, internal cross-validation (CV) within the training set demonstrated robust model tuning and stability, with an AUC of 0.983. Holdout validation further confirmed model reliability with an AUC of 0.935. Metabolic pathway analysis of these metabolites revealed that the most significantly associated pathways affecting intrinsic and idiosyncratic DILI were primarily related to amino acid metabolism, including tryptophan metabolism, tyrosine metabolism, cysteine and methionine metabolism, and the biosynthesis of phenylalanine, tyrosine, and tryptophan.</p><p><strong>Conclusion: </strong>This study demonstrates that machine learning-assisted serum metabolomics can effectively characterize currently well-established intrinsic and idiosyncratic drug-induced liver injury, re
目的:本项目旨在利用高效化学同位素标记(HP-CIL)液相色谱-质谱(LC-MS)对内源性和特异性药物性肝损伤(DILI)的机制进行代谢组学研究。通过比较这两种类型DILI之间的代谢特征,我们试图使用机器学习策略来识别预测内在和特异性DILI的生物标志物。方法:根据NEJM发表的EASL药物性肝损伤临床实践指南中的诊断标准,将纳入的DILI病例根据发病机制分为内在型(n = 17)和异质型(n = 27)。两组均采集血清样本。使用高效化学同位素标记液相色谱-质谱(HP-CIL LC-MS)进行代谢组学分析,以鉴定两组之间差异表达的代谢物。选择在单因素和多因素统计分析中均显示显著的代谢物进行进一步的受试者工作特征(ROC)分析。采用机器学习方法开发诊断模型,以区分内在DILI和特质DILI。将这些模型进行比较,以确定能够区分两种类型DILI的潜在生物标志物,并评估这些候选生物标志物的诊断性能。结果:通过多变量和单变量统计分析,通过ROC曲线分析和基于机器学习的选择,血清代谢组学分析确定了四种差异代谢物,这些代谢物区分了内在和特异性DILI。这些潜在的生物标志物包括丙氨酰甘氨酸(水平1)、n2 -乙酰- l-胱氨酸(水平2a)、5-羟基吲哚乙酸的异构体1(水平2a)和5-羟基吲哚乙酸的异构体1(水平2a)。使用多个机器学习模型进行ROC分析,所有模型的曲线下面积(AUC)值均大于0.8,表明具有较高的诊断性能。在多元回归模型下,训练集中的内部交叉验证(CV)显示出稳健的模型调整和稳定性,AUC为0.983。Holdout验证进一步证实了模型的信度,AUC为0.935。对这些代谢物的代谢途径分析表明,影响DILI的内在和特异性相关途径主要与氨基酸代谢有关,包括色氨酸代谢、酪氨酸代谢、半胱氨酸和蛋氨酸代谢,以及苯丙氨酸、酪氨酸和色氨酸的生物合成。结论:本研究表明,机器学习辅助的血清代谢组学可以有效表征目前已确定的内在和特异性药物性肝损伤,揭示两种类型之间的代谢差异,并识别与各自发病机制相关的差异代谢物。这些发现为今后预测各种肝毒性药物致肝损伤的机制类型提供了有价值的参考。
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Frontiers in Pharmacology
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