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A Decade of Mitochondria-Targeting Drugs in Cancer Treatment: Case Review on Mitochondria-Targeting Curcumin or Mitocurcumin 线粒体靶向药物在癌症治疗中的十年:线粒体靶向姜黄素或线粒体姜黄素的案例综述。
IF 4.2 4区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-11-21 DOI: 10.1002/ddr.70188
Rahul Shah, Ryan Varghese, Harsh Anchan, Sanidhya Pai, Tanmay Zagade, Mitul Oswal, Sparsh Agarwal, Purab Sood, Gargi Digholkar, Abha Deshpande, Ravi Vamsi Peri, Pooja Tiwary, Krishil Oswal, Rohit Sharma

Mitochondrial targeting is of particular interest to researchers, as it presents as a personalized medicine approach in cancer cell metabolism and survival. By specifically targeting mitochondria, targeted therapies can disrupt energy production, induce apoptosis, and overcome drug resistance in cancer cells, potentially improving therapeutic outcomes. This review discusses the advancements in mitochondrial drug delivery over the last decade. It explores the potential of mitochondrial targeting using mitocurcumin (MTC), a novel small molecule curcumin analog that has been engineered to specifically target mitochondria in cancer cells, thereby augmenting its therapeutic efficacy. The antiproliferative activity of MTC demonstrates its ability to induce reactive oxygen species (ROS) production and promote oxidative stress-mediated apoptosis, oxidative damage, and cellular senescence in diverse cancer cell lines, thereby enhancing its specificity for cancer cells. Despite these encouraging attributes, current research on MTC remains limited. Further comprehensive investigations are imperative to fully elucidate the efficacy and potential applications of mitochondrial targeting, especially MTC, in oncological therapeutics, including in vivo efficacy trials, pharmacokinetic profiling, toxicology studies, and combination therapy assessments. Although mitochondrial targeting presents a promising avenue for cancer therapy, rigorous scientific inquiry is essential to validate its clinical potential and optimize its therapeutic application for improved patient compliance.

线粒体靶向是研究人员特别感兴趣的,因为它是一种针对癌细胞代谢和生存的个性化医学方法。通过特异性靶向线粒体,靶向治疗可以破坏能量产生,诱导细胞凋亡,克服癌细胞的耐药性,潜在地改善治疗效果。本文综述了近十年来线粒体给药技术的进展。它探索了线粒体靶向的潜力,使用线粒体姜黄素(MTC),一种新的小分子姜黄素类似物,已被设计用于特异性靶向癌细胞中的线粒体,从而增强其治疗效果。MTC的抗增殖活性表明其能够诱导活性氧(ROS)的产生,促进氧化应激介导的多种癌细胞凋亡、氧化损伤和细胞衰老,从而增强其对癌细胞的特异性。尽管有这些令人鼓舞的特性,目前对MTC的研究仍然有限。进一步的综合研究是必要的,以充分阐明线粒体靶向,特别是MTC在肿瘤治疗中的疗效和潜在应用,包括体内疗效试验、药代动力学分析、毒理学研究和联合治疗评估。虽然线粒体靶向为癌症治疗提供了一条很有前途的途径,但严格的科学探究对于验证其临床潜力和优化其治疗应用以提高患者依从性至关重要。
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引用次数: 0
Drug Design and Delivery for Intracellular Bacteria: Emerging Paradigms 细胞内细菌的药物设计和递送:新兴范例。
IF 4.2 4区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-11-19 DOI: 10.1002/ddr.70198
Babatunde Ibrahim Olowu, Maryam Ebunoluwa Zakariya, Abdulmuheez Abiola Abdulkareem, Olalekan Toheeb Okewale, Muhammad Halima Idris, Halimah Oluwayemisi Olayiwola

Intracellular bacteria exploit host cell niches, such as lysosomes, phagosomes, cytosol, entire cells, and even erythrocytes, to evade immune clearance and escape conventional antibiotics. These environments pose numerous therapeutic challenges, including crossing host cell membranes, navigating endosomal trafficking, tolerating acidic and redox conditions, bypassing efflux mechanisms, and countering phenotypic tolerance. Although recent advancements in nanotechnology—such as carriers, prodrugs, and host-directed therapies—offer promising solutions, current strategies remain narrowly focused on “getting the drug inside the cell”, leaving therapeutic agents vulnerable to off-site targeting, degradation, and functional failure. This review introduces a next-generation approach for intracellular antibacterial therapy, incorporating subcellular targeting, dual-function delivery systems, innovative biomimetic carriers, precise intracellular pharmacokinetics/pharmacodynamics (PK/PD) assessment, and artificial intelligence-assisted drug design. Highlighting frameworks for multimodal regimens targeting intracellular bacteria, we advocate a transition from solely facilitating cellular entry to achieving precise spatiotemporal regulation of drug activity within infected host cells. This paradigm informs the development of therapeutics designed to persist within the intracellular bacterial niche, minimizing relapse and reducing the emergence of antimicrobial resistance.

胞内细菌利用宿主细胞壁龛,如溶酶体、吞噬体、细胞质、整个细胞,甚至红细胞,来逃避免疫清除和逃避常规抗生素。这些环境带来了许多治疗挑战,包括穿越宿主细胞膜,导航内体运输,耐受酸性和氧化还原条件,绕过外排机制,以及对抗表型耐受。尽管纳米技术(如载体、前药和宿主导向疗法)的最新进展提供了有希望的解决方案,但目前的策略仍然局限于“将药物放入细胞内”,这使得治疗剂容易受到非靶向、降解和功能失效的影响。本文介绍了下一代细胞内抗菌治疗方法,包括亚细胞靶向、双功能递送系统、创新的仿生载体、精确的细胞内药代动力学/药效学(PK/PD)评估和人工智能辅助药物设计。强调针对细胞内细菌的多模式方案框架,我们提倡从单纯促进细胞进入到实现受感染宿主细胞内药物活性的精确时空调节的过渡。这一模式为治疗方法的发展提供了指导,这些治疗方法旨在在细胞内细菌生态位内持续存在,最大限度地减少复发并减少抗菌素耐药性的出现。
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引用次数: 0
From Sulfa Drugs to New Antibacterial Agents: Advances in Chemical Modification of Approved Sulfonamides 从磺胺类药物到新型抗菌剂:经批准的磺胺类药物化学改性研究进展。
IF 4.2 4区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-11-19 DOI: 10.1002/ddr.70191
Ayşe Karagüzel, Ebru Koçak Aslan, Miyase Gözde Gündüz

Sulfonamides, the oldest synthetic antibacterial agents, specifically target the enzyme dihydropteroate synthase (DHPS), which is essential for the folic acid biosynthesis pathway. In contrast, humans do not use this mechanism as they produce no endogenous folic acid and therefore lack the DHPS enzyme. Despite this unique mechanism and selective action against bacteria, their crucial role in fighting bacterial infections has been diminished by the rise of resistance and allergies to sulfa drugs. To overcome these factors that restrict the application of antibacterial sulfonamides, molecular modification of approved sulfa drugs, such as sulfanilamide, sulfathiazole, and sulfadiazine, appears to be a promising strategy for drug design. This review, for the first time, focuses on the molecular modifications directly performed on sulfa drugs to develop new antibacterial agents that address the resistance and safety problems associated with clinical sulfonamides. These modifications involve the conjugation of commercial sulfa drugs with various heterocycles (triazole, thiazole, thiophene, etc.), functional groups (hydrazone, Schiff base, azo dye, urea/thiourea), phytochemicals (thymol, eugenol, etc.), and drug molecules, leading to new antibacterial candidates and insights into their structure–activity relationships. Given the growing global threat of antibiotic resistance, this review may help restore the importance of traditional sulfa drugs in treating bacterial infections through effective chemical modifications.

磺胺类药物是最古老的人工合成抗菌剂,专门针对叶酸生物合成途径中必需的二氢蝶呤合成酶(DHPS)。相比之下,人类不使用这种机制,因为他们不产生内源性叶酸,因此缺乏DHPS酶。尽管这种独特的机制和对细菌的选择性作用,但它们在对抗细菌感染方面的关键作用已因对磺胺类药物的耐药性和过敏的增加而减弱。为了克服这些限制抗菌磺胺类药物应用的因素,对已批准的磺胺类药物进行分子修饰,如磺胺、磺胺噻唑和磺胺嘧啶,似乎是一种很有前途的药物设计策略。本文首次对磺胺类药物直接进行分子修饰,以开发新的抗菌药物,解决临床磺胺类药物的耐药性和安全性问题。这些修饰涉及到商业磺胺类药物与各种杂环(三唑、噻唑、噻吩等)、官能团(腙、希夫碱、偶氮染料、尿素/硫脲)、植物化学物质(百里香酚、丁香酚等)和药物分子的偶联,从而产生新的抗菌候选物并深入了解其结构-活性关系。鉴于抗生素耐药性的全球威胁日益严重,本综述可能有助于通过有效的化学修饰恢复传统磺胺类药物在治疗细菌感染方面的重要性。
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引用次数: 0
Exploration Novel of Pyrazole and Isoxazole Derivatives as Potential Antimicrobial Agents: Design, Synthesis, Structure Activity Relationship Study, and Antibiofilm Activity With Molecular Docking Simulation 吡唑和异恶唑衍生物潜在抗菌药物的探索新进展:设计、合成、构效关系研究及分子对接模拟抗菌膜活性
IF 4.2 4区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-11-17 DOI: 10.1002/ddr.70189
Khadija E. Saadon, Ahmed Ragab, Nadia M. H. Taha, N. A. Mahmoud, Ali Kh. Khalil, Gameel A. M. Elhagali

Developing new antimicrobial drugs is crucial for combating global drug resistance caused by microbial infections. Here, a new series of pyrazole and isoxazole derivatives were synthesized using a multicomponent reaction based on ethylvanillin and active methylene group as well as binucleophile reagents under basic conditions. The designed derivatives were confirmed using FT-IR, 1H NMR, 13C NMR, Mass spectrum, and elemental analysis. Subsequently, all the designed derivatives were evaluated against four bacterial and one fungal strain. The synthesized derivatives demonstrated significant to good antimicrobial activity with low MIC values against the tested strains, especially against Bacillus subtilis, Staphylococcus aureus, and Candida albicans. Notably, four compounds 14, 17, 20, and 24 showed promising MIC values ranging from 7.8 to 62.5 µg/mL) against gram-positive strains and for gram-negative strains (MIC = 31.25–125 µg/mL), compared to gentamycin (15.62 and 31.25 µg/mL), respectively. In addition, these derivatives revealed MIC values from 15.62 to 31.25 µg/mL compared to fluconazole (MIC = 15.62 µg/mL) against C. albicans. Additionally, the structure activity relationships (SAR) were discussed. Moreover, the MBC and MFC values were evaluated and the results exhibited bactericidal and fungicidal properties, except for 5-hydroxy-1H-pyrazole-1-carbothioamide derivative 14 that demonstrated bacteriostatic activity against B. subtilis. Moreover, the biofilm inhibitory activity of the most promising derivatives demonstrated a dose-dependent effect and inhibit biofilm formation from 96.17 ± 0.004% to 66.04 ± 0.004%. Among these compounds, the 5-hydroxy-1H-pyrazole-1-carbothioamide derivative 14 emerged as the most active, exhibiting a biofilm inhibitory percentage (BIP) of 96.17 ± 0.004% compared to gentamicin's BIP of 96.44 ± 0.004% at 75% MIC. Finally, a docking simulation of the most promising derivatives was conducted within the active site of Las R, suggesting a potential mode of action, where these derivatives displayed different binding interaction with low binding affinity. Moreover, in-silico oral bioavailability and toxicity profile was predicted for the most promising derivatives and exhibited promising physicochemical properties with a safe toxicity profile, opening up the possibility of the discovery of new antibiotics.

开发新的抗微生物药物对于抗击微生物感染引起的全球耐药性至关重要。在碱性条件下,以乙基香兰素和活性亚甲基以及亲核试剂为原料,采用多组分反应合成了一系列新的吡唑和异恶唑衍生物。设计的衍生物通过FT-IR, 1H NMR, 13C NMR,质谱和元素分析证实。随后,所有设计的衍生物对四种细菌和一种真菌菌株进行了评估。合成的衍生物对被试菌株具有良好的抑菌活性,MIC值较低,特别是对枯草芽孢杆菌、金黄色葡萄球菌和白色念珠菌。值得注意的是,化合物14、17、20和24对革兰氏阳性菌和革兰氏阴性菌(MIC = 31.25 ~ 125µg/mL)的MIC值为7.8 ~ 62.5µg/mL,而庆大霉素的MIC值分别为15.62和31.25µg/mL。此外,与氟康唑(MIC = 15.62µg/mL)相比,这些衍生物对白色念珠菌的MIC值为15.62 ~ 31.25µg/mL。此外,还讨论了结构活性关系(SAR)。此外,对MBC和MFC值进行了评价,结果显示除5-羟基- 1h -吡唑-1-碳硫酰胺衍生物14对枯草芽孢杆菌具有抑菌活性外,其余均具有杀菌和杀真菌的特性。此外,最有希望的衍生物的生物膜抑制活性表现出剂量依赖性,抑制生物膜的形成从96.17±0.004%到66.04±0.004%。在这些化合物中,5-羟基- 1h -吡唑-1-碳硫酰胺衍生物14活性最高,其生物膜抑制率(BIP)为96.17±0.004%,而庆大霉素在75% MIC下的BIP为96.44±0.004%。最后,在Las R的活性位点内对最有希望的衍生物进行对接模拟,提出了一种潜在的作用模式,这些衍生物在低结合亲和力的情况下表现出不同的结合相互作用。此外,预测了最有希望的衍生物的硅口服生物利用度和毒性谱,并显示出具有安全毒性谱的有希望的物理化学性质,为发现新的抗生素开辟了可能性。
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引用次数: 0
Leveraging the Fragment Merging Approach for Synthetizing Novel Selanyl Phenyl Acetamide Thiazolidinedione Hybrids Endowed With Apoptotic Potential for Cancer Treatment 利用片段合并方法合成具有肿瘤细胞凋亡潜力的新型塞拉尼-苯基乙酰胺噻唑烷二酮杂合体
IF 4.2 4区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-11-17 DOI: 10.1002/ddr.70190
Saad Shaaban, Ayman Abo Elmaaty, Aya Yaseen Mahmood Alabdali, Hussein Ba-Ghazal, Marwa Sharaky, Mohamed Alaa Mohamed, Mai A. E. Mourad, Mohamed Alaasar, Fatema Suliman Alatawi, Tarek A. Yousef, Arwa Omar Al Khatib, Ahmed A. Al-Karmalawy

Designing novel selenium-containing compounds (organoselenium compounds, OSe) has shown growing interest owing to their chemoprotective and antioxidant properties. Consequently, by harnessing a fragment merging approach, a series of novel OSe hybrid compounds bearing selanyl phenyl acetamide and thiazolidinedione scaffolds were designed and synthesized (8–10, 11a–c, 12a–c, 13a–c, and 14). The growth inhibition percentages (GI%) of the newly afforded OSe were evaluated using seven human cancer cells along with one normal cell line to ensure selectivity and safety. Interestingly, it was revealed that compound 9 exhibited the best mean GI% (75.54%), surpassing the doxorubicin (Dox) mean GI% of 72.28%. In addition, the inhibitory concentration 50 (IC50) values of the frontier compounds 9, 13a, 13c, 12b, and 12c were assessed against cancer cell lines PC3, MCF7, and HCT116. Compound 13c displayed the lowest IC50 value (5.195 µM) at the PC3 cancer cell line, surpassing doxorubicin (8.065 µM). Besides, compounds 9 and 12c revealed the lowest IC50 values (21.045 and 13.575 µM) against MCF7 and HCT116, respectively. Moreover, analogues 9 and 13c were chosen to examine their ability to induce apoptosis and showed the upregulation of proapoptotic proteins: Caspases (3, 7, and 9) and BAX, besides the downregulation of the antiapoptotic BCL2, MMP2, and MMP9 proteins. Furthermore, in silico molecular docking studies targeting BCL-2, along with ADMET analyses, were performed. The results indicated that the tested compounds demonstrated favourable binding affinity to the selected target and exhibited acceptable pharmacokinetic properties. Consequently, these compounds can be considered promising lead candidates for inducing apoptosis in cancer cells, warranting further optimization.

设计新型含硒化合物(有机硒化合物,OSe)由于其化学保护和抗氧化特性而受到越来越多的关注。因此,利用片段合并的方法,设计并合成了一系列新的OSe杂化化合物(8-10、11a-c、12a-c、13a-c和14),这些化合物含有selanyl phenyl acetamide和噻唑烷二酮支架。用7个人类癌细胞和1个正常细胞系来评估新提供的OSe的生长抑制百分比(GI%),以确保其选择性和安全性。有趣的是,化合物9具有最佳的平均GI%(75.54%),超过阿霉素(Dox)的平均GI%(72.28%)。此外,还评估了前沿化合物9、13a、13c、12b和12c对癌细胞PC3、MCF7和HCT116的抑制浓度50 (IC50)值。化合物13c在PC3癌细胞上的IC50值最低(5.195µM),超过了阿霉素(8.065µM)。化合物9和12c对MCF7和HCT116的IC50值最低,分别为21.045µM和13.575µM。此外,我们选择类似物9和13c来检测它们诱导凋亡的能力,结果显示促凋亡蛋白Caspases(3、7和9)和BAX上调,抗凋亡蛋白BCL2、MMP2和MMP9下调。此外,还进行了针对BCL-2的硅分子对接研究,以及ADMET分析。结果表明,所测试的化合物与选定的目标具有良好的结合亲和力,并表现出可接受的药代动力学特性。因此,这些化合物可以被认为是诱导癌细胞凋亡的有希望的主要候选者,需要进一步优化。
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引用次数: 0
Enzyme Responsive Magnetic Nanoparticles for Targeted Drug Delivery and Precision Medicine 酶响应磁性纳米颗粒靶向给药和精准医疗。
IF 4.2 4区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-11-10 DOI: 10.1002/ddr.70185
Zhenchen Du, Ebraheem Abdu Musad Saleh, M. M.Moharam, Safia Obaidur Rab, Suhas Ballal, Abhayveer Singh, A. Sabarivani, Samir Sahoo, Chou-Yi Hsu

Enzyme-responsive magnetic nanoparticles (MNPs) represent an emerging class of multifunctional drug delivery systems that combine spatial precision with biochemical selectivity. By integrating magnetic guidance with enzyme-triggered activation, these nanocarriers address a critical limitation of conventional chemotherapy, namely the lack of specificity that often leads to systemic toxicity and reduced therapeutic efficacy. Enzymes such as proteases, phospholipases, and oxidoreductases are frequently dysregulated in pathological tissues, providing endogenous signals that can be harnessed for site-specific drug release. Enzyme-responsive MNPs exploit these biochemical signatures by incorporating cleavable linkers, enzyme-sensitive coatings, or catalytic cascades, ensuring that therapeutic payloads are released selectively in tumor microenvironments, inflamed regions, or infection sites. Advances in nanoparticle synthesis have further enabled fine-tuning of magnetic cores, polymer shells, and functionalized surfaces, thereby enhancing stability, drug loading capacity, and responsiveness. Preclinical studies demonstrate substantial benefits, including enhanced tumor accumulation, alleviation of hypoxia, improved drug penetration through stromal barriers, and reduction of off-target toxicity. Applications extend beyond oncology to infectious diseases, where pathogen-derived enzymes activate antibiotic release, and to metabolic disorders, where glucose oxidase-based systems regulate insulin delivery. Despite these promising outcomes, translation to clinical practice is constrained by manufacturing challenges, variable enzyme expression, limited in vivo data, and stringent regulatory requirements. This review critically examines the principles, design strategies, release mechanisms, and biomedical applications of enzyme-responsive MNPs, while highlighting unresolved barriers and future directions. Ultimately, enzyme-responsive MNPs exemplify the potential of precision nanomedicine, offering a platform for highly adaptable, multimodal, and patient-tailored therapeutic interventions.

酶反应磁性纳米颗粒(MNPs)代表了一种新兴的多功能药物传递系统,它结合了空间精度和生化选择性。通过将磁性引导与酶触发激活相结合,这些纳米载体解决了传统化疗的一个关键限制,即缺乏特异性,这往往导致全身毒性和治疗效果降低。蛋白酶、磷脂酶和氧化还原酶等酶在病理组织中经常失调,提供内源性信号,可用于特定部位的药物释放。酶反应型MNPs通过结合可切割连接物、酶敏感涂层或催化级联来利用这些生化特征,确保治疗有效载荷在肿瘤微环境、炎症区域或感染部位选择性释放。纳米粒子合成的进步进一步使磁性核、聚合物外壳和功能化表面的微调成为可能,从而增强了稳定性、载药能力和响应性。临床前研究显示了大量的益处,包括增强肿瘤积累,减轻缺氧,改善药物通过基质屏障的渗透,减少脱靶毒性。应用范围从肿瘤学扩展到传染病,其中病原体衍生的酶激活抗生素释放,以及代谢紊乱,其中葡萄糖氧化酶为基础的系统调节胰岛素输送。尽管有这些有希望的结果,但转化为临床实践受到制造挑战,可变酶表达,有限的体内数据和严格的监管要求的限制。本文综述了酶反应性MNPs的原理、设计策略、释放机制和生物医学应用,同时强调了尚未解决的障碍和未来的方向。最终,酶反应的MNPs证明了精密纳米医学的潜力,为高度适应性、多模式和患者定制的治疗干预提供了一个平台。
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引用次数: 0
Emerging in Diabetic Cardiomyopathy: Molecular Pathways and Targets for Therapeutic Intervention 糖尿病性心肌病的出现:治疗干预的分子途径和靶点。
IF 4.2 4区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-11-03 DOI: 10.1002/ddr.70187
Mansi Vinodkumar Trivedi, Hemant R. Jadhav, Anil Bhanudas Gaikwad

Amongst various complications presented by diabetes, diabetic cardiomyopathy (DCM) is one of the most prominent and vexing complications. Due to the absence of consensus on prevention and treatment strategies, along with limitations in current therapies, a fresh perspective is essential and a requirement of the time. The succeeding review explores research that provides insights into novel molecular targets that could possibly evolve as breakthroughs in restraining the pathological hallmarks of DCM, such as inhibition of cardiomyocyte fibrosis or modulation of various inflammatory pathways, apoptotic pathways such as PANoptosis, cuproptosis, and ferroptosis, and mitochondrial dysfunction. This review shall also explore various RNA-targeting therapeutic areas that can combat the consecution of DCM. Therapeutic intervention targeting Phosphodiesterase 4D (PDE4D), LGR6 (G-protein-coupled receptor containing leucine-rich repeats 6), Interferon gamma inducible protein 16 (IFI16), Growth differentiation factor 11(GDF11), Transcription factor EB(TFEB), Secreted frizzled-related protein 1 (SFRP1), Fibroblast growth factor -21 (FGF21), Takeda G protein-coupled receptor-5 (TGR5), Nuclear receptor of the subfamily 4 (NR4A3), Enhancer of zeste homolog 2 (EZH2), and RNA-based therapeutics such as piR112710 and TUG1 are reviewed. Moreover, how these molecular targets intersect with DCM pathology, and how they can be further explored in a drug discovery paradigm for DCM management, is discussed.

在糖尿病的各种并发症中,糖尿病性心肌病(DCM)是最突出和最令人烦恼的并发症之一。由于缺乏对预防和治疗策略的共识,以及当前治疗方法的局限性,一个新的视角是必不可少的,也是时代的要求。随后的综述探讨了新的分子靶点的研究,这些靶点可能会成为抑制DCM病理特征的突破,如抑制心肌细胞纤维化或调节各种炎症途径,凋亡途径如PANoptosis, cuprotosis和ferroptosis,以及线粒体功能障碍。这篇综述也将探讨各种rna靶向治疗领域,可以对抗DCM的连续性。针对磷酸二酯酶4D (PDE4D)、LGR6(富含亮氨酸重复序列的G蛋白偶联受体6)、干扰素γ诱导蛋白16 (IFI16)、生长分化因子11(GDF11)、转录因子EB(TFEB)、分泌卷曲相关蛋白1(SFRP1)、成纤维细胞生长因子-21 (FGF21)、武田G蛋白偶联受体5 (TGR5)、4亚家族核受体(NR4A3)、zeste同源物增强子2 (EZH2)、以及基于rna的治疗方法,如piR112710和TUG1。此外,讨论了这些分子靶点如何与DCM病理相交,以及如何在DCM管理的药物发现范式中进一步探索它们。
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引用次数: 0
Exploring Artificial Intelligence's Potential to Enhance Conventional Anticancer Drug Development 探索人工智能促进常规抗癌药物开发的潜力。
IF 4.2 4区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-11-03 DOI: 10.1002/ddr.70182
Sorin-Ștefan Bobolea, Miruna-Ioana Hinoveanu, Andreea Dimitriu, Miruna-Andrada Brașoveanu, Cristian-Nicolae Iliescu, Cristina-Elena Dinu-Pîrvu, Mihaela Violeta Ghica, Valentina Anuța, Lăcrămioara Popa, Răzvan Mihai Prisada

Cancer affects one in three to four people globally, with over 20 million new cases and 10 million deaths annually, projected to rise to 35 million cases by 2050. Developing effective cancer treatments is crucial, but the drug discovery process is a highly complex and expensive endeavor, with success rates sitting well below 10% for oncologic therapies. More recently, there has been a growing interest in Artificial intelligence (AI) due to its potential to significantly enhance the success rates by processing large data sets, identifying patterns, and making autonomous decisions. The primary aim of this literature review is to examine the potential that state-of-the-art AI tech-nologies have to enhance and complement well-established research methods used in cancer drug development, such as QSAR, interactions prediction, and ADMET prediction, among others. The basic technical aspects of computational technologies are clarified, and key terms commonly asso-ciated with AI are defined. Current applications and case studies from academia and industry are presented to highlight AI's potential to accelerate progress in cancer drug research. Challenges and disadvantages of AI are also acknowledged, and it is discussed that future research should focus on overcoming its limitations to maximize its impact in cancer treatment.

全球三分之一到四分之一的人患有癌症,每年有2000多万新病例和1000万例死亡,预计到2050年将增加到3500万例。开发有效的癌症治疗方法至关重要,但药物发现过程非常复杂,成本高昂,肿瘤治疗的成功率远低于10%。最近,人们对人工智能(AI)的兴趣越来越大,因为它有可能通过处理大型数据集、识别模式和做出自主决策来显着提高成功率。本文献综述的主要目的是研究最先进的人工智能技术在加强和补充癌症药物开发中使用的成熟研究方法方面的潜力,如QSAR、相互作用预测和ADMET预测等。澄清了计算技术的基本技术方面,并定义了通常与人工智能相关的关键术语。介绍了学术界和工业界目前的应用和案例研究,以突出人工智能在加速癌症药物研究进展方面的潜力。也承认了人工智能的挑战和缺点,并讨论了未来的研究应侧重于克服其局限性,以最大限度地发挥其在癌症治疗中的作用。
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引用次数: 0
Integration of Machine Learning, Bioinformatics, and Experimental Validation to Identify Novel Diagnostic and Prognostic Biomarkers Associated With Succinylation in Lung Adenocarcinoma 整合机器学习、生物信息学和实验验证,以确定与肺腺癌琥珀酰化相关的新型诊断和预后生物标志物
IF 4.2 4区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-10-31 DOI: 10.1002/ddr.70184
Sixuan Wu, Junfan Pan, Yaqin Zheng, Qihong Pan, Yeru Tan

Lung adenocarcinoma (LUAD) is the most prevalent and lethal subtype of non-small cell lung cancer (NSCLC), with its progression closely associated with aberrant succinylation modifications. This study aimed to systematically identify succinylation-related genes in LUAD and evaluate their diagnostic and prognostic significance. By integrating four Gene Expression Omnibus (GEO) datasets, 45 differentially expressed succinylation-related candidate genes were identified. Feature selection using three machine learning methods—Lasso regression, support vector machine recursive feature elimination (SVM-RFE), and Random Forest—yielded seven core genes: TIMP1, SLC2A1, JUP, F12, B3GALNT1, DSP, and MMP1. ROC analysis showed that all core genes achieved AUC values greater than 0.7, indicating strong diagnostic potential. A diagnostic model constructed from these seven genes achieved an AUC of 0.912 in the training cohort, significantly outperforming single-gene models, and was validated in The Cancer Genome Atlas (TCGA) cohort (AUC = 0.893). Prognostic analysis revealed that Kaplan–Meier curves for all seven core genes demonstrated p < 0.05 and HR > 1, indicating that high expression was associated with poor outcomes. A risk prediction nomogram was also developed based on these genes. SHAP analysis clarified each gene's contribution to the model, while drug enrichment and transcriptional regulatory network analyses provided further insights into potential therapeutic targets. Notably, JUP exhibited the highest diagnostic efficacy (AUC = 0.921) and was significantly correlated with immune cell infiltration and tumor microenvironment regulation. Molecular docking suggested stable binding between JUP and potential therapeutic compounds, single-cell analysis confirmed its marked overexpression in tumor and epithelial cells, and experimental validation further established its oncogenic role. In conclusion, this study systematically defines the diagnostic and prognostic value of seven succinylation-related core genes in LUAD, with JUP playing a particularly pivotal role. These findings provide robust evidence supporting its potential as a novel biomarker and therapeutic target.

肺腺癌(LUAD)是非小细胞肺癌(NSCLC)中最常见和最致命的亚型,其进展与异常琥珀酰化修饰密切相关。本研究旨在系统地鉴定LUAD中琥珀酰化相关基因,并评估其诊断和预后意义。通过整合四个基因表达Omnibus (GEO)数据集,鉴定出45个差异表达的琥珀酰化相关候选基因。使用lasso回归、支持向量机递归特征消除(SVM-RFE)和随机森林三种机器学习方法进行特征选择,产生了七个核心基因:TIMP1、SLC2A1、JUP、F12、B3GALNT1、DSP和MMP1。ROC分析显示,所有核心基因的AUC值均大于0.7,具有较强的诊断潜力。由这7个基因构建的诊断模型在训练队列中的AUC为0.912,显著优于单基因模型,并在the Cancer Genome Atlas (TCGA)队列中得到验证(AUC = 0.893)。预后分析显示,所有7个核心基因的Kaplan-Meier曲线均显示p <; 0.05和HR >; 1,表明高表达与不良预后相关。基于这些基因还建立了风险预测图。SHAP分析阐明了每个基因对模型的贡献,而药物富集和转录调控网络分析提供了对潜在治疗靶点的进一步了解。JUP的诊断效能最高(AUC = 0.921),且与免疫细胞浸润和肿瘤微环境调节显著相关。分子对接提示JUP与潜在治疗化合物稳定结合,单细胞分析证实其在肿瘤和上皮细胞中显著过表达,实验验证进一步确定其致癌作用。总之,本研究系统界定了7个琥珀酰化相关核心基因在LUAD中的诊断和预后价值,其中JUP发挥了尤为关键的作用。这些发现提供了强有力的证据,支持其作为一种新的生物标志物和治疗靶点的潜力。
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引用次数: 0
Kaurenoic Acid Suppresses Osteosarcoma Progression by Reprogramming Tumor-Associated Macrophages to M1 Phenotype 钙烯酸通过将肿瘤相关巨噬细胞重编程为M1表型来抑制骨肉瘤的进展
IF 4.2 4区 医学 Q2 CHEMISTRY, MEDICINAL Pub Date : 2025-10-29 DOI: 10.1002/ddr.70183
Yingzhen Tang, Yongqi Guo, Yaru Wu, Mengya Chen, Panpan Yu, Yao Wang, Xue Li, Zihan Zhu, Shihui Qian, Jian Zhang, Zhenlin Li, Nan Yao

Osteosarcoma (OS) is the most prevalent primary malignant bone tumor. M2 type tumor-associated macrophages (TAMs) are the predominant infiltrating cells within the OS microenvironment and play a key role in promoting OS progression. Although kaurenoic acid (KA) has demonstrated notable antitumor properties, it remains vacant whether KA exerts its effects against OS by modulating TAM. In vitro, THP-1 monocytes were polarized into different macrophage phenotypes using specific cytokines and supernatants from OS cells. qRT-PCR, ELISA and flow cytometry assays were conducted to investigate the effects of KA on macrophage reprogramming. The effects of KA on the proliferation, migration, invasion and vasculogenic mimicry of OS cells in the context of M2 macrophages were examined in vitro. Western blot, immunofluorescence staining, and rescue experiments were performed to explore the molecular mechanism underlying the effect of KA. The K7M2 OS mouse model was employed to scrutinize the effects of KA on OS growth and TAM polarization in vivo. The results demonstrated that KA induced a dose-dependent shift of M2 macrophages toward the M1 phenotype, as evidenced by the downregulation of M2 markers, upregulation of M1 markers, and enhanced macrophage-mediated phagocytosis. Additionally, KA inhibited M2 macrophage-mediated enhancement of malignant behaviors in OS cells. We discovered that the activation of the MAPK and NF-κB signaling pathways was involved in KA-induced macrophage polarization. In vivo data demonstrated that KA suppressed OS growth and switched TAMs to the M1 phenotype, while exhibiting low toxicity. These findings suggest that KA can reprogram M2 macrophages into M1 phenotype and inhibit the progression of OS, highlighting its potential as a new macrophage-based therapeutic agent against OS.

骨肉瘤(Osteosarcoma, OS)是最常见的原发性骨恶性肿瘤。M2型肿瘤相关巨噬细胞(tam)是OS微环境中主要的浸润细胞,在促进OS进展中起关键作用。虽然kaurenoic acid (KA)已显示出显著的抗肿瘤特性,但KA是否通过调节TAM来发挥其对OS的作用尚不清楚。在体外,利用来自OS细胞的特定细胞因子和上清液,THP-1单核细胞被极化成不同的巨噬细胞表型。采用qRT-PCR、ELISA和流式细胞术检测KA对巨噬细胞重编程的影响。在体外研究了KA对M2巨噬细胞背景下OS细胞增殖、迁移、侵袭和血管生成模拟的影响。通过Western blot、免疫荧光染色和抢救实验探讨KA作用的分子机制。采用K7M2小鼠OS模型,观察KA对OS生长和TAM极化的影响。结果表明,KA诱导M2巨噬细胞呈剂量依赖性向M1表型转移,表现为M2标记下调,M1标记上调,巨噬细胞介导的吞噬作用增强。此外,KA抑制M2巨噬细胞介导的OS细胞恶性行为增强。我们发现MAPK和NF-κB信号通路的激活参与了ka诱导的巨噬细胞极化。体内数据表明,KA抑制OS生长并将tam转换为M1表型,同时表现出低毒性。这些发现表明,KA可以将M2巨噬细胞重编程为M1表型,并抑制OS的进展,突出了其作为一种新的巨噬细胞治疗OS的潜力。
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引用次数: 0
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Drug Development Research
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