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Decoding protein kinases in autophagy with small-molecule modulators for cancer therapy 用小分子调节剂解码自噬中的蛋白激酶用于癌症治疗。
IF 7.5 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2025-11-29 DOI: 10.1016/j.drudis.2025.104565
Mengqiao Chen , Xiangyu Fu , Huiping Wang , Xinyi Qi , Leilei Fu
Autophagy is an intracellular degradation and recycling mechanism, crucial for maintaining cellular homeostasis. In recent years, the dual role of protein kinases in autophagy has gradually been elucidated. Designing small-molecule compounds to regulate these targets can actively or passively intervene in cell-protective autophagy or autophagy-related cell death. This approach could provide new clues for modern targeted cancer therapies. In this review, we focus on summarizing the regulatory roles of key protein kinases in autophagy, including positive regulation, negative regulation and bidirectional regulation of autophagy. Moreover, we explore the anticancer potential of small-molecule compounds targeting these kinases in cancer therapy, providing new clues for precise treatment by regulating autophagy pathways.
自噬是一种细胞内降解和循环机制,对维持细胞稳态至关重要。近年来,蛋白激酶在自噬中的双重作用逐渐被阐明。设计调节这些靶点的小分子化合物可以主动或被动地干预细胞保护性自噬或自噬相关的细胞死亡。这种方法可能为现代靶向癌症治疗提供新的线索。在这篇综述中,我们重点综述了关键蛋白激酶在自噬中的调节作用,包括自噬的正调节、负调节和双向调节。此外,我们还探索了靶向这些激酶的小分子化合物在癌症治疗中的抗癌潜力,为通过调节自噬途径进行精确治疗提供了新的线索。
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引用次数: 0
Driving the future of iPS-cell-based therapy in Japan: government strategies, regulatory review and clinical development 推动日本ips细胞治疗的未来:政府策略、监管审查和临床发展。
IF 7.5 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2025-11-27 DOI: 10.1016/j.drudis.2025.104562
Ka-Shi Nozomi Choi, Wei-Bo Liu
Japan has long been positioned as a global leader in regenerative medicine, and a critical moment occurred in 2025 when the world’s first regulatory submission for an induced pluripotent stem (iPS)-cell-based therapy was filed. In this article, we detail the Japanese government’s strategic investment in regenerative medicine since the early 2000s, and elucidate the advancement of regulatory guidelines tailored to the unique characteristics of regenerative medical products (RMPs) and designed to ensure safety while accelerating commercialization. We also provide an extensive summary of the latest clinical studies using iPS-cell-based therapies conducted by Japanese companies and academic institutions, as well as the current landscape of corporate involvement in this field. In addition, we address the challenges facing the development of RMPs by discussing the withdrawal cases that occurred in Japan last year.
长期以来,日本一直被定位为再生医学的全球领导者,2025年是一个关键时刻,当时世界上第一个基于诱导多能干细胞(iPS)的疗法的监管申请被提交。在本文中,我们详细介绍了自21世纪初以来日本政府在再生医学方面的战略投资,并阐明了针对再生医疗产品(RMPs)的独特特征量身定制的监管指南的进展,旨在确保安全性,同时加速商业化。我们还提供了日本公司和学术机构使用ips细胞疗法进行的最新临床研究的广泛总结,以及企业参与该领域的当前前景。此外,我们通过讨论去年在日本发生的撤资案例来解决RMPs发展面临的挑战。
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引用次数: 0
Machine learning in targeted protein degradation drug design: a technical review of PROTACs and molecular glues 靶向蛋白质降解药物设计中的机器学习:PROTACs和分子胶的技术综述。
IF 7.5 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2025-11-27 DOI: 10.1016/j.drudis.2025.104563
Chieh-Te Lin , Ya-Ping Shiau , Chu-Chung Lin
Targeted protein degradation (TPD) allows catalytic removal of disease-associated proteins by exploiting the ubiquitin–proteasome system (UPS). Proteolysis-targeting chimeras (PROTACs) and molecular glues represent two complementary TPD modalities, yet their rational design remains hindered by challenges in ternary complex formation, ligand discovery, and pharmacokinetic optimization. Recent machine learning (ML) advances address these barriers through predictive modeling, virtual screening, and generative design of degrader candidates. In this review, we summarize how ML is integrated across PROTACs and molecular glue development, including ternary complex prediction, linker and fragment design, degradation efficiency modeling, and absorption, distribution, metabolism, excretion, and toxicity (ADMET) optimization. We also highlight emerging artificial intelligence (AI)-driven strategies for de novo glue discovery. Together, these innovations demonstrate how ML is accelerating degrader design and expanding the landscape of druggable targets.
靶向蛋白降解(TPD)允许利用泛素-蛋白酶体系统(UPS)催化去除疾病相关蛋白。靶向蛋白水解嵌合体(PROTACs)和分子胶是两种互补的TPD模式,但它们的合理设计仍然受到三元复合物形成、配体发现和药代动力学优化等挑战的阻碍。最近机器学习(ML)的进步通过预测建模、虚拟筛选和降解候选物的生成设计来解决这些障碍。在这篇综述中,我们总结了ML是如何在PROTAC和分子胶开发中集成的,包括三元配合物预测、连接物和片段设计、降解效率建模以及吸收、分布、代谢、排泄和毒性(ADMET)优化。我们还重点介绍了新兴的人工智能(AI)驱动的新胶水发现策略。总之,这些创新证明了机器学习如何加速降解器的设计,并扩大了可药物靶点的范围。
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引用次数: 0
Academic-industry collaboration in biomedical innovation: A multi-model review of barriers and facilitators. 生物医学创新中的学术与产业合作:对障碍和促进因素的多模式回顾。
IF 7.5 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2025-11-26 DOI: 10.1016/j.drudis.2025.104560
J C J Loggers, M E J Reinders, T van Gelder, V M van der Horst, K M S L Bischoff, H J Guchelaar

Effective collaboration between university medical centres and biotechnology companies is increasingly crucial for driving translational innovation in the health and life sciences. In particular, collaboration is strongly encouraged within biotechnology and life sciences clusters where there is physical and institutional proximity between academia and industry. However, collaboration in such clusters is dependent on many different interacting actors. This review examines the triple helix model, the university-enterprise collaboration model, and the Lewinian approach, and identifies barriers and facilitators of academic-industry collaboration. Despite mutual interest, barriers such as intellectual property issues, regulatory complexity, divergent visions, and institutional rigidity arise. Conversely, shared infrastructure, effective intermediary structures, and trust-based relationships facilitate collaboration. Based on the literature, several actionable strategies are proposed to enhance partnerships between academia and industry.

大学医疗中心和生物技术公司之间的有效合作对于推动健康和生命科学的转化创新越来越重要。特别是,大力鼓励在学术界和工业界之间物理和机构接近的生物技术和生命科学集群内开展合作。然而,这种集群中的协作依赖于许多不同的交互参与者。本文考察了三螺旋模型、校企合作模型和Lewinian方法,并确定了校企合作的障碍和促进因素。尽管存在共同利益,但知识产权问题、监管复杂性、观点分歧和制度僵化等障碍也随之出现。相反,共享的基础设施、有效的中介结构和基于信任的关系促进了协作。在文献的基础上,提出了几项可操作的策略,以加强学术界和工业界之间的伙伴关系。
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引用次数: 0
Pharmacogenomics and mutation informatics: correlation of NAT2 mutations and isoniazid acetylation rate 药物基因组学和突变信息学:NAT2突变与异烟肼乙酰化率的相关性。
IF 7.5 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2025-11-26 DOI: 10.1016/j.drudis.2025.104561
Saroj Verma , Vaishali M. Patil , Uma Agarwal
Tuberculosis (TB) drug resistance poses a major global health challenge. The first-line antitubercular prodrug isoniazid (INH) is metabolized by N-acetyltransferase 2 (NAT2) and activated by catalase peroxidase (KatG) to inhibit enoyl-acyl carrier protein reductase (InhA) in the mycolic acid biosynthesis pathway. Genetic variations in NAT2 are associated with the formation of slow and fast acetylators, influencing drug efficacy and toxicity. Despite significant advances that have clarified key aspects of NAT2-mediated isoniazid metabolism, the complete spectrum of mechanisms governing isoniazid deactivation and their broader implications for treatment efficacy and resistance evolution remain to be fully elucidated. In this review, we discuss the pharmacokinetics (PK), pharmacodynamics (PD), dosing regimens, and pharmacogenomics of isoniazid, along with the role of artificial intelligence (AI)/machine learning (ML) in its personalized use. In addition, we analyze NAT2 mutations and their impact on acetylation rates using bioinformatics. These insights collectively advance our understanding of genotype-driven variability in isoniazid response, aiding the development of personalized therapy.
结核病耐药性是一项重大的全球卫生挑战。一线抗结核前药异烟肼(INH)通过n -乙酰基转移酶2 (NAT2)代谢和过氧化氢酶过氧化物酶(KatG)活化,抑制霉酸生物合成途径中的烯酰酰基载体蛋白还原酶(InhA)。NAT2的遗传变异与慢速和快速乙酰化的形成有关,影响药物的疗效和毒性。尽管已经明确了nat2介导的异烟肼代谢的关键方面的重大进展,但控制异烟肼失活的完整机制及其对治疗疗效和耐药性进化的更广泛影响仍有待充分阐明。在这篇综述中,我们讨论了异烟肼的药代动力学(PK)、药效学(PD)、给药方案和药物基因组学,以及人工智能(AI)/机器学习(ML)在其个性化使用中的作用。此外,我们利用生物信息学分析了NAT2突变及其对乙酰化率的影响。这些见解共同促进了我们对异烟肼反应的基因型驱动变异性的理解,有助于个性化治疗的发展。
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引用次数: 0
Promoting sustainable pharmacy for tackling environmental pharmaceutical pollution 推广可持续药学,解决环境药品污染问题。
IF 7.5 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2025-11-25 DOI: 10.1016/j.drudis.2025.104559
Iker Egaña , Vladimir Akhrimenko , Mirari Ayerbe , Eider Abasolo , Unax Lertxundi , Gorka Orive
Pharmaceuticals are essential for health but are increasingly impacting the environment, affecting ecosystems and human health, and contributing to biodiversity loss, antimicrobial resistance, and climate change. Active pharmaceutical ingredients designed for stability and biological activity, along with excipients and packaging materials, contaminate air, soil, and water globally. To address the issue of pharmaceutical pollution, the establishment of a sustainable pharmacy framework is required, beginning with drug development and the education of future professionals. In this article, we present a critical overview of initiatives already implemented and those emerging that aim to achieve a more sustainable pharmacy. We followed a cradle-to-grave life-cycle approach to identify the role of pharmacy professionals, including drug developers, in enabling mitigation measures for pharmaceutical pollution. Some of the emerging initiatives for reducing pharmaceutical pollution that were identified include a benign-by-design approach for drug development, the adoption of a One Health approach in healthcare systems, and advancing regulatory frameworks and education of healthcare professionals.
药品对健康至关重要,但对环境的影响越来越大,影响着生态系统和人类健康,并导致生物多样性丧失、抗菌素耐药性和气候变化。为稳定性和生物活性而设计的活性药物成分,以及赋形剂和包装材料,会污染全球的空气、土壤和水。为了解决药物污染问题,需要建立一个可持续的药房框架,从药物开发和未来专业人员的教育开始。在这篇文章中,我们提出了已经实施的举措和那些旨在实现一个更可持续的药房新兴的关键概述。我们采用了从摇篮到坟墓的生命周期方法,以确定包括药物开发人员在内的药学专业人员在实施缓解药物污染措施方面的作用。已确定的一些减少药物污染的新举措包括药物开发的良性设计方法,在医疗保健系统中采用“同一个健康”方法,以及推进监管框架和医疗保健专业人员的教育。
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引用次数: 0
Reimagining medical affairs through strategic leadership in patient partnering healthcare 通过在患者合作医疗保健方面的战略领导重新构想医疗事务。
IF 7.5 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2025-11-24 DOI: 10.1016/j.drudis.2025.104558
Sébastien Reig , Christel Becker
Medical affairs (MA) has transformed to become a strategic pillar in the pharmaceutical ecosystem. This article highlights the expanding role of MA across the drug lifecycle, from patient access to clinical adoption and evidence generation. By exploring the shift from ‘patient centricity’ to ‘patient as partner’, we emphasize how MA can bridge innovation with real healthcare needs. Case studies illustrate how MA actions impact patient outcomes beyond the treatment provided. As expectations from stakeholders rise, MA must lead with patient partnering as a strategic priority. Patient focus is no longer optional; it is a core driver of value for patients and industry.
医药事务已成为医药生态系统的战略支柱。本文强调了MA在整个药物生命周期中的扩展作用,从患者获取到临床采用和证据生成。通过探索从“以患者为中心”到“以患者为合作伙伴”的转变,我们强调MA如何将创新与真正的医疗保健需求联系起来。案例研究说明了MA的行动如何影响患者治疗之外的结果。随着利益相关者期望的提高,MA必须将患者合作作为战略重点。患者焦点不再是可有可无的;它是患者和行业价值的核心驱动力。
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引用次数: 0
Pyruvate kinase M2 – linked metabolic pathways in pain modulation 丙酮酸激酶M2在疼痛调节中的相关代谢途径。
IF 7.5 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2025-11-23 DOI: 10.1016/j.drudis.2025.104557
Vaishnavi Kalmegh , Lahanya Guha , Deep Rohan Chatterjee , Hemant Kumar , Amit Shard
The glycolytic enzyme pyruvate kinase M2 (PKM2) is emerging as a crucial modulator of cancer cell proliferation and pain signaling. Pathological lactate accumulation causes tissue acidification, sensitizing pain pathways, in which PKM2 plays a central role. Evidence links PKM2 to both nociceptive and neuropathic pain via molecular cascades involving cyclooxygenase (COX)-1/2, interleukin (IL)-1β, and extracellular signal-regulated kinase (ERK)/mitogen-activated protein kinase (MAPK) activation. Phosphorylated PKM2 enhances NFκB, STAT3, and ERK pathways, promoting inflammatory and neuronal sensitization. By integrating metabolic reprogramming with pain signaling, PKM2 represents a pivotal bridge between inflammation, neuronal excitation, and energy metabolism, offering promising therapeutic potential for managing complex pain-linked conditions.
糖酵解酶丙酮酸激酶M2 (PKM2)是癌细胞增殖和疼痛信号的重要调节剂。病理性乳酸积累引起组织酸化,使疼痛通路敏感,其中PKM2起核心作用。有证据表明,PKM2通过环氧化酶(COX)-1/2、白细胞介素(IL)-1β和细胞外信号调节激酶(ERK)/丝裂原活化蛋白激酶(MAPK)激活的分子级联反应与伤害性和神经性疼痛有关。磷酸化的PKM2增强NFκB、STAT3和ERK通路,促进炎症和神经元致敏。通过整合代谢重编程和疼痛信号,PKM2代表了炎症、神经元兴奋和能量代谢之间的关键桥梁,为管理复杂的疼痛相关疾病提供了有希望的治疗潜力。
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引用次数: 0
Integrated therapies for targeting the microenvironment of hepatocellular carcinoma 针对肝细胞癌微环境的综合治疗。
IF 7.5 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2025-11-23 DOI: 10.1016/j.drudis.2025.104556
Shriraam Karunakaran , Mohan Krishna Ghanta , Anusha Lakshmi Cheetiyar , LVKS Bhaskar , Ganji Purnachandra Nagaraju
Hepatocellular carcinoma (HCC) microenvironments (MEs) are composed of immune and non-immune components that drive tumor progression and treatment resistance. This narrative review summarizes recent progress in systemic therapies combined with liver-directed approaches as a new frontier in metastatic HCC treatment. Immune checkpoint inhibitors (tremelimumab and durvalumab) in combination with small- molecule agents (lenvatinib and cabozantinib) enhance T-cell activation and improve progression-free survival in HCC. Epigenetic inhibitors and RNA-based therapeutics target the HCC ME and increase the efficacy of immunotherapy. Additionally, cellular therapy targeting agents like glypican-3 (GPC3) for chimeric antigen receptor T (CAR-T) cells have shown promising results. HCC ME has distinct immune subtypes exhibiting different responses to treatments, which complicates biomarker selection and treatment timing. Personalized therapy based on ME is the future path in HCC management.
肝细胞癌(HCC)微环境(MEs)由驱动肿瘤进展和治疗耐药性的免疫和非免疫成分组成。这篇叙述性的综述总结了系统性治疗结合肝脏导向方法作为转移性HCC治疗的新前沿的最新进展。免疫检查点抑制剂(tremelimumab和durvalumab)联合小分子药物(lenvatinib和cabozantinib)增强t细胞活化并改善HCC的无进展生存期。表观遗传抑制剂和基于rna的疗法靶向HCC ME,提高免疫治疗的疗效。此外,靶向glypican-3 (GPC3)等靶向嵌合抗原受体T (CAR-T)细胞的细胞治疗已经显示出有希望的结果。HCC ME具有不同的免疫亚型,对治疗表现出不同的反应,这使得生物标志物的选择和治疗时机变得复杂。基于ME的个体化治疗是HCC治疗的未来发展方向。
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引用次数: 0
Integrating herbgenomics with systems biology approaches for sustainable utilization of medicinal plant resources 将草药基因组学与系统生物学方法相结合,实现药用植物资源的可持续利用。
IF 7.5 2区 医学 Q1 PHARMACOLOGY & PHARMACY Pub Date : 2025-11-20 DOI: 10.1016/j.drudis.2025.104555
Tanvi Gupta , Jyoti Upadhyay , Sudesh Kumar Yadav , Rohit Joshi
The global reliance on herbal medicines underscores the urgent need for sustainable utilization and conservation of medicinal plants. Herbgenomics, merging omics technologies with traditional knowledge, explores plant genetics, diversity, and bioactive compound production. Advances in genomics research, combined with consortia of omics tools like transcriptomics, metabolomics, and proteomics, reveal pathways and enzymes involved in secondary metabolite biosynthesis. These insights uncover complex regulatory networks and enable our understanding of medicinal plant biology. Integrating multi-omics approaches supports precision breeding, metabolic engineering, and drug discovery, laying a strong foundation for optimizing herbal resources and accelerating the development of plant-based therapeutics.
全球对草药的依赖突出表明迫切需要可持续利用和保护药用植物。植物基因组学将组学技术与传统知识相结合,探索植物遗传学、多样性和生物活性化合物的生产。基因组学研究的进步,结合转录组学、代谢组学和蛋白质组学等组学工具,揭示了参与次级代谢物生物合成的途径和酶。这些见解揭示了复杂的调控网络,使我们能够理解药用植物生物学。整合多组学方法支持精确育种、代谢工程和药物发现,为优化草药资源和加速植物疗法的发展奠定了坚实的基础。
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引用次数: 0
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Drug Discovery Today
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