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Monkeypox Virus: Epidemiology, Virology, Diagnosis, Vaccine, and Therapeutics 猴痘病毒:流行病学、病毒学、诊断、疫苗和治疗。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-01-02 DOI: 10.1002/mco2.70525
Yunzheng Yan, Yaqin Sun, Guangyan Sun, Cheng Niu, Xinyuan Zhao, Ming Zhao, Tongyao Liu, Suyue Zhang, Hui Zhai, Ankang Liu, Shouzhi Yu, Shuyuan Pan, Wu Zhong, Yuntao Zhang, Song Li

Since 2022, mpox epidemics have been sustaining and escalating over the world, posing a significant public health challenge. While significant progress has been made in diagnostic methodologies, prophylactic vaccines, and therapeutic interventions to mitigate monkeypox virus (MPXV) infection, scientific understanding of MPXV and related orthopoxviruses continues to evolve progressively. In order to keep pace with recent advancements, herein we review progress in mpox research from five key perspectives. This article first summarizes the latest epidemiological profiles, incorporating different viral lineages globally and in China, while highlighting their evolutionary history and distinct clinical characteristics. The virological profiles of MPXV shed light on its complete infectious lifecycle and the formation of distinct virus particle types. Clinically approved classical detection methods and emerging novel testing techniques are provided, establishing a framework for early diagnosis of mpox patients. The efficacy and safety of both licensed vaccines and those under development are analyzed to underscore their value in preventing mpox infection. Additionally, progress in approved and newly identified potential therapeutic agents is summarized and discussed, aiming to provide insights for further drug development and clinical treatment strategies.

自2022年以来,麻疹疫情在世界各地持续并不断升级,对公共卫生构成重大挑战。虽然在诊断方法、预防性疫苗和治疗性干预方面取得了重大进展,以减轻猴痘病毒(MPXV)感染,但对MPXV和相关正痘病毒的科学认识仍在逐步发展。为了跟上最新的进展,我们从五个关键方面综述了mpox的研究进展。本文首先总结了最新的流行病学概况,纳入了全球和中国不同的病毒谱系,同时强调了它们的进化历史和独特的临床特征。MPXV的病毒学特征揭示了其完整的感染生命周期和不同病毒颗粒类型的形成。提供了临床认可的经典检测方法和新兴的新型检测技术,为m痘患者的早期诊断建立了框架。对已获得许可的疫苗和正在开发的疫苗的有效性和安全性进行了分析,以强调它们在预防m痘感染方面的价值。此外,对已批准和新发现的潜在治疗药物的进展进行了总结和讨论,旨在为进一步的药物开发和临床治疗策略提供见解。
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引用次数: 0
Ramalin Ameliorates Alzheimer's Disease Pathology by Targeting BACE1, HDAC6, and MAPK Pathways Ramalin通过靶向BACE1、HDAC6和MAPK通路改善阿尔茨海默病病理
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-01-01 DOI: 10.1002/mco2.70518
Yongeun Cho, Jeongmi Lee, Bo Youn Choi, Jin-Ho Yun, Sukmin Han, Seung Hyun Baek, Jinsu Park, Yoonsuk Cho, Hark Kyun Kim, Eunae Kim, Leon F. Palomera, Jeein Lim, Yeji Jeon, Jeonghyeong Im, Ju-Mi Hong, Tai Kyoung Kim, Sung Hyun Kim, Joung Han Yim, Dong-Gyu Jo

Aberrant deposition of β-amyloid (Aβ) and hyperphosphorylated tau, along with neuroinflammation, are key drivers of Alzheimer's disease (AD) pathology. Here, we identify ramalin, a natural antioxidant, as a promising therapeutic agent that alleviates AD pathology by modulating β-site APP cleaving enzyme 1 (BACE1), histone deacetylase 6 (HDAC6), and the mitogen-activated protein kinases (MAPK) pathway. Ramalin reduced BACE1 protein levels, independently of its transcription, translation, or enzymatic activity, an effect mediated by inhibition of HDAC6. Consistently, HDAC6 knockout similarly decreased BACE1 levels, highlighting HDAC6 as a key regulator of BACE1. Ramalin further suppressed neuroinflammatory responses by downregulating inducible nitric oxide synthase (iNOS) and the NLR family pyrin domain containing 3 (NLRP3) inflammasome. In AD mouse models, ramalin treatment significantly attenuated neuroinflammation, Aβ plaque burden, and tau hyperphosphorylation, while improving cognitive performance. Notably, ramalin reversed Aβ oligomer-induced synaptic transmission impairment and restored synaptic vesicle recycling in hippocampal neurons. Transcriptomic analysis identified modulation of the MAPK pathway, with reduced phosphorylation of c-Jun N-terminal kinase (JNK) and extracellular signal-regulated kinase (ERK) implicated in tau pathology. These findings establish ramalin as a disease-modifying intervention that provides neuroprotection through concurrent regulation of BACE1, HDAC6, and MAPK signaling pathway. Collectively, our findings highlight ramalin as a compelling disease-modifying candidate with the potential to drive a breakthrough approach targeting AD pathology.

β-淀粉样蛋白(Aβ)的异常沉积和过度磷酸化的tau蛋白,以及神经炎症,是阿尔茨海默病(AD)病理的关键驱动因素。在这里,我们发现ramalin,一种天然抗氧化剂,作为一种有前景的治疗药物,通过调节β-位点APP切割酶1 (BACE1),组蛋白去乙酰化酶6 (HDAC6)和丝裂原活化蛋白激酶(MAPK)途径来缓解AD病理。Ramalin降低BACE1蛋白水平,独立于其转录、翻译或酶活性,这种作用是由抑制HDAC6介导的。与此一致的是,HDAC6基因敲除类似地降低了BACE1水平,突出了HDAC6作为BACE1的关键调节因子。Ramalin通过下调诱导型一氧化氮合酶(iNOS)和NLR家族pyrin domain containing 3 (NLRP3)炎性体进一步抑制神经炎症反应。在AD小鼠模型中,ramalin治疗显著减轻了神经炎症、Aβ斑块负担和tau过度磷酸化,同时改善了认知能力。值得注意的是,ramalin逆转了Aβ寡聚物诱导的突触传递损伤,恢复了海马神经元突触囊泡循环。转录组学分析发现了MAPK通路的调节,与tau病理相关的c-Jun n -末端激酶(JNK)和细胞外信号调节激酶(ERK)的磷酸化降低。这些发现证实ramalin是一种疾病改善干预,通过同时调节BACE1、HDAC6和MAPK信号通路提供神经保护。总的来说,我们的研究结果突出了ramalin作为一种令人信服的疾病修饰候选药物,具有推动针对AD病理的突破性方法的潜力。
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引用次数: 0
Robust Diagnostic and Therapeutic Biomarkers for Tuberculosis Identified Through Multi-Omics and Mendelian Randomization Analysis 通过多组学和孟德尔随机化分析确定结核病的可靠诊断和治疗生物标志物。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-12-29 DOI: 10.1002/mco2.70559
Chenglin Zhu, Jiaxi Chen, Ying Li, Qi Zhang, Qiqi Lu, Ningxuan Zhang, Hao Fan, Muhammad Mahtab Aslam Khan Khakwani, Lei Zhang, Ji-Cheng Li

Tuberculosis (TB) remains a major global health challenge. In this study, we applied UPLC-MS/MS lipidomics and data-independent acquisition proteomics to profile plasma from healthy controls, active TB patients, and cured individuals to identify differentially expressed lipids and proteins. Mendelian randomization prioritized phosphatidylcholine (PC) lipids (PC(18:2/18:2), PC(14:0/20:4) and PC(18:0/20:4)) and proteins (haptoglobin [HP], retinol binding protein 4 [RBP4], coagulation factor XIII B subunit [F13B] and inter-alpha-trypsin inhibitor heavy chain 1 [ITIH1]) as candidate diagnostic and cure biomarkers. Binary multi-omics random-forest classifiers constructed with these markers achieved strong diagnostic (AUC = 0.967, 95% CI: 0.928–1.000) and cure-monitoring (AUC = 0.981, 95% CI: 0.956–1.000) performance, which was further assessed with ten-fold cross-validation. Integration with transcriptomic data and lipid-related gene analysis provided additional molecular support for HP. Independent validation in the GSE34608 cohort (AUC = 0.965) and ELISA verification (AUC = 0.969) confirmed HP's diagnostic utility at gene and protein levels. GSVA enrichment implicated HP in iron homeostasis and immune response pathways, suggesting a role in Mycobacterium tuberculosis infection and immune evasion through modulation of host iron metabolism. Overall, we present a robust lipid–protein biomarker panel and accurate multi-omics models for TB diagnosis and monitoring of cure, and propose HP as a promising biomarker and potential therapeutic target. These tools may improve clinical management and treatment evaluation.

结核病仍然是一项重大的全球卫生挑战。在这项研究中,我们应用UPLC-MS/MS脂质组学和数据独立采集蛋白质组学分析了健康对照者、活动性结核病患者和治愈个体的血浆,以鉴定差异表达的脂质和蛋白质。孟德尔随机化优先选择磷脂酰胆碱(PC)脂质(PC(18:2/18:2)、PC(14:0/20:4)和PC(18:0/20:4))和蛋白(触珠蛋白[HP]、视黄醇结合蛋白4 [RBP4]、凝血因子XIII B亚基[F13B]和α -胰蛋白酶抑制剂重链1 [ITIH1])作为候选诊断和治疗生物标志物。用这些标记构建的二元多组学随机森林分类器具有较强的诊断(AUC = 0.967, 95% CI: 0.928-1.000)和治疗监测(AUC = 0.981, 95% CI: 0.956-1.000)性能,并进一步进行10倍交叉验证。整合转录组学数据和脂质相关基因分析为HP提供了额外的分子支持。在GSE34608队列中的独立验证(AUC = 0.965)和ELISA验证(AUC = 0.969)证实了HP在基因和蛋白质水平上的诊断效用。GSVA富集暗示HP参与铁稳态和免疫反应途径,提示通过调节宿主铁代谢参与结核分枝杆菌感染和免疫逃避。总之,我们提出了一个强大的脂蛋白生物标志物面板和精确的多组学模型用于结核病诊断和治疗监测,并提出HP作为一个有前途的生物标志物和潜在的治疗靶点。这些工具可以改善临床管理和治疗评估。
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引用次数: 0
DNA Circuits That Learn: Biochemical Signal Processing for Personalized Diagnosis and Treatment 学习的DNA电路:用于个性化诊断和治疗的生化信号处理。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-12-29 DOI: 10.1002/mco2.70573
Wen Yan Huang, Kyunghee Noh
<p>In a recent <i>Nature</i> publication, Cherry and Qian [<span>1</span>] demonstrated a deoxyribonucleic acid (DNA)-implemented neural network that performed supervised learning entirely in vitro via enzyme-free, toehold-mediated strand displacement. Class information was encoded as quantitative concentration states, which were reused to classify novel inputs within a single tube. This advancement embeds the concept of “learning” into chemistry itself, framing a retrainable, point-of-care decision layer.</p><p>Contemporary biomedicine is converging toward a hybrid paradigm that integrates artificial intelligence (AI)-based foundation models, single-cell and spatial transcriptomics, and biochemical/physical domain machine learning. However, practical constraints remain at the point of care. Currently deployed models are typically parameter fixed. Sensing, learning, and actuation are often decoupled in operations, while governance standards for foundation-scale systems are still evolving. Under these circumstances, DNA neural network (DNA-NN) ha s emerged as a chemistry-native complement capable of co-locating “learning” with measurement and actuation. These properties are naturally integrated with targeted-therapy workflows, where near-sample retraining and portable readouts can inform prognosis and treatment selection.</p><p>Historically, strand displacement circuitry—particularly the seesaw-gate architecture—matured into winner-take-all classifiers that performed summation and thresholding at scale but relied on preinstalled weights (2011–2018) [<span>2, 3</span>]. In contrast, the 2025 study by Cherry and Qian represented a key inflection point. A one-tube DNA-NN executed supervised learning by writing labeled examples into concentration-encoded memories, converting those memories into weights, and reusing them to classify novel inputs, all while maintaining independence, integration, generality, and stability. Taken together, these steps shifted molecular signal processing from fixed logic to adaptive logic.</p><p>Mechanistically, training inputs paired with labels drove the toehold-mediated strand displacement (Figure 1), which accumulated class-specific activators. These concentration memories were then transformed into weight-bearing complexes. During inference, the presentation of a test pattern triggered bitwise interactions with these weights, and competitive nonlinearity yielded a winner readout, typically detected by fluorescence. As training, memory formation, and inference occur under isothermal, enzyme-free conditions within a single reaction, the same network can be reconditioned with a newly labeled material without redesign. This operational property was directly relevant to workflows at the patients’ bedside [<span>1</span>].</p><p>Many countries are now progressively reducing the use of animal experiments—which were once mandatory in drug development—and are accelerating the adoption of patient-derived organoids (PDOs) as in
此外,克服目前在可扩展性和可重用性方面的限制是至关重要的,因为DNA学习需要消耗能量,而且它的电路目前只能“使用一次”。鲁棒负权重和更强的非线性仍在发展中,记忆稳定性在核酸酶丰富的条件下可能受到挑战。此外,读出面临多路复用和动态范围之间的权衡。然而,缓解战略仍在出现。2025 Nature研究采用钳夹/清理链和调谐退火化学计量来抑制虚假位移和加剧竞争;研究中的其他教程巩固了正交性设计规则、泄漏控制和纳米孔读数,特别是与样本训练工作流程相关[1,4]。未来的进展应该集中在从监督学习扩展到无监督学习,使自主适应没有外部标签。应用空间组织的DNA凝聚物或反应扩散系统可能允许缩放网络复杂性。微流体区隔化和抗核酸酶骨干有望稳定记忆并提高特异性。因此,dna -神经网络可以为同步传感、学习和分子驱动提供一条途径。因为知识是集中存储的,而不是不可变的序列,所以电路可以在样本附近修复,至少在原则上是这样。在pdo和其他微生理系统中进行阶段性验证后,这些网络可以与治疗模块相结合,通过DNAzymes或聚集规律间隔短回复性重复序列(CRISPR)相关有效载荷实现预后和治疗的闭环控制[1,4]。此外,可编程DNA分子网络现在正在从离散分类扩展到连续系统任务,进一步扩大了相同化学领域内的计算空间。总之,这些进展将基于dna的神经网络定位为计算,生物学和医学界面的新范式,对信号转导研究和靶向治疗策略具有潜在影响。随着正交序列设计、泄漏抑制、包括纳米孔集成在内的稳健读数和微流体/核酸酶抗性实现的不断进步,该领域似乎准备提供可再训练的护理点决策层。务实的前进道路是保留基础规模的人工智能,用于队列水平的先验和可扩展的推断,锚定单细胞和空间转录组学的特征,并逐步基准dna -神经网络的速度、特异性和稳定性。在此之后,学习生物化学可能会演变成一个实用的引擎,用于预后分层和患者床边的有针对性的干预。起草手稿并生成图形。K.N.审阅并监督最后的手稿。两位作者已经阅读并批准了最终的手稿。本工作由韩国政府(RS-2024-00338397)和KRIBB研究计划(KGM1062511和KGM1322511)资助的NRF基金资助。作者没有什么可报告的。作者声明无利益冲突。作者没有什么可报告的。
{"title":"DNA Circuits That Learn: Biochemical Signal Processing for Personalized Diagnosis and Treatment","authors":"Wen Yan Huang,&nbsp;Kyunghee Noh","doi":"10.1002/mco2.70573","DOIUrl":"10.1002/mco2.70573","url":null,"abstract":"&lt;p&gt;In a recent &lt;i&gt;Nature&lt;/i&gt; publication, Cherry and Qian [&lt;span&gt;1&lt;/span&gt;] demonstrated a deoxyribonucleic acid (DNA)-implemented neural network that performed supervised learning entirely in vitro via enzyme-free, toehold-mediated strand displacement. Class information was encoded as quantitative concentration states, which were reused to classify novel inputs within a single tube. This advancement embeds the concept of “learning” into chemistry itself, framing a retrainable, point-of-care decision layer.&lt;/p&gt;&lt;p&gt;Contemporary biomedicine is converging toward a hybrid paradigm that integrates artificial intelligence (AI)-based foundation models, single-cell and spatial transcriptomics, and biochemical/physical domain machine learning. However, practical constraints remain at the point of care. Currently deployed models are typically parameter fixed. Sensing, learning, and actuation are often decoupled in operations, while governance standards for foundation-scale systems are still evolving. Under these circumstances, DNA neural network (DNA-NN) ha s emerged as a chemistry-native complement capable of co-locating “learning” with measurement and actuation. These properties are naturally integrated with targeted-therapy workflows, where near-sample retraining and portable readouts can inform prognosis and treatment selection.&lt;/p&gt;&lt;p&gt;Historically, strand displacement circuitry—particularly the seesaw-gate architecture—matured into winner-take-all classifiers that performed summation and thresholding at scale but relied on preinstalled weights (2011–2018) [&lt;span&gt;2, 3&lt;/span&gt;]. In contrast, the 2025 study by Cherry and Qian represented a key inflection point. A one-tube DNA-NN executed supervised learning by writing labeled examples into concentration-encoded memories, converting those memories into weights, and reusing them to classify novel inputs, all while maintaining independence, integration, generality, and stability. Taken together, these steps shifted molecular signal processing from fixed logic to adaptive logic.&lt;/p&gt;&lt;p&gt;Mechanistically, training inputs paired with labels drove the toehold-mediated strand displacement (Figure 1), which accumulated class-specific activators. These concentration memories were then transformed into weight-bearing complexes. During inference, the presentation of a test pattern triggered bitwise interactions with these weights, and competitive nonlinearity yielded a winner readout, typically detected by fluorescence. As training, memory formation, and inference occur under isothermal, enzyme-free conditions within a single reaction, the same network can be reconditioned with a newly labeled material without redesign. This operational property was directly relevant to workflows at the patients’ bedside [&lt;span&gt;1&lt;/span&gt;].&lt;/p&gt;&lt;p&gt;Many countries are now progressively reducing the use of animal experiments—which were once mandatory in drug development—and are accelerating the adoption of patient-derived organoids (PDOs) as in ","PeriodicalId":94133,"journal":{"name":"MedComm","volume":"7 1","pages":""},"PeriodicalIF":10.7,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12748929/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145879876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Role of Macrophages in Cancer: From Basic Research to Clinical Applications 巨噬细胞在癌症中的作用:从基础研究到临床应用。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-12-19 DOI: 10.1002/mco2.70547
Zhimei Liu, Yan Li, Jingchao Cao, Yefeng Qiu, Kun Yu, Shoulong Deng

Macrophages are innate immune cells that extensively infiltrate and play a key role in the tumor microenvironment (TME). Tumor cell–secreted factors recruit monocytes into the TME, where they differentiate into tumor-associated macrophages (TAMs), which can polarize into distinct phenotypes: M1 and M2. M1 TAMs promote antitumor immunity through cytokine secretion and antigen presentation, whereas M2 TAMs support tumor progression by facilitating angiogenesis, invasion, and immune escape. Despite these dual roles, the specific mechanisms governing macrophage plasticity and polarization remain insufficiently understood. This review comprehensively summarizes the origin, polarization, and functional diversity of macrophages in the TME, with emphasis on pathways that regulate TAM-mediated immune responses. Furthermore, this article examines current TAM-targeted therapeutic strategies, including recruitment inhibition, phenotypic reprogramming, and the development of chimeric antigen receptor macrophages (CAR-Ms), as well as macrophage-based drug delivery and exosome therapy. By integrating recent advances in cell engineering and immunometabolism, this review highlights the translational potential of TAM-targeted therapies and their value in reshaping the immunosuppressive TME to enhance cancer immunotherapy.

巨噬细胞是一种广泛浸润并在肿瘤微环境(TME)中起关键作用的先天免疫细胞。肿瘤细胞分泌因子将单核细胞招募到TME中,在那里它们分化为肿瘤相关巨噬细胞(tam),这些巨噬细胞可以分化为不同的表型:M1和M2。M1 tam通过细胞因子分泌和抗原呈递促进抗肿瘤免疫,而M2 tam通过促进血管生成、侵袭和免疫逃逸来支持肿瘤进展。尽管具有这些双重作用,但控制巨噬细胞可塑性和极化的具体机制仍未得到充分了解。本文综述了巨噬细胞在TME中的起源、极化和功能多样性,重点介绍了tam介导的免疫反应的调控途径。此外,本文还研究了目前针对tam的治疗策略,包括招募抑制、表型重编程、嵌合抗原受体巨噬细胞(CAR-Ms)的发展,以及基于巨噬细胞的药物输送和外泌体治疗。通过整合细胞工程和免疫代谢的最新进展,本综述强调了tam靶向治疗的转化潜力及其在重塑免疫抑制TME以增强癌症免疫治疗方面的价值。
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引用次数: 0
Immune and Immune-Integrated Organoids as NextGeneration Platforms for Disease Modeling 免疫和免疫整合类器官作为下一代疾病建模平台。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-12-18 DOI: 10.1002/mco2.70531
Kimiya Rashidan, Malaksima Ayadilord, Ali Hazrati, Amirhossein Nazerian, Abbas Shafiee, Seyed Mahmoud Hashemi

Organoids are three-dimensional structures that closely resemble the architecture and functions of human organs, offering key advantages over traditional models by better replicating tissue complexity and cellular interactions. These systems have become invaluable tools for disease modeling, drug screening, and regenerative medicine applications. Despite this progress, their lack of immune components limits their usefulness in diseases where immune cells are central drivers of pathology and therapy. The absence of an immune system within organoids limits their physiological relevance, particularly for cancer, inflammation, and autoimmunity research. Immune cell-containing organoids provide a comprehensive platform for immunotherapy, host–pathogen interactions, regeneration, and immune disorders. This review first highlights the transformative potential of immune cell-containing organoids across cancer, infection, inflammation, autoimmunity, regeneration, and the modeling of primary lymphoid organs. It then examines current strategies for integrating immune cells into organoids, the variety of immune cell sources employed, and the challenges in maintaining immune cell function. Finally, the role of bioengineering, biobanking, and artificial intelligence in overcoming existing limitations and enhancing immune system modeling is discussed. Overall, this study positions immune cell-containing organoids as powerful platforms for translational research and precision medicine.

类器官是一种三维结构,与人体器官的结构和功能非常相似,通过更好地复制组织复杂性和细胞相互作用,提供了优于传统模型的关键优势。这些系统已经成为疾病建模、药物筛选和再生医学应用的宝贵工具。尽管取得了这些进展,但它们缺乏免疫成分,限制了它们在免疫细胞是病理和治疗的核心驱动因素的疾病中的用途。类器官中缺乏免疫系统限制了它们的生理相关性,特别是在癌症、炎症和自身免疫研究中。含有免疫细胞的类器官为免疫治疗、宿主-病原体相互作用、再生和免疫紊乱提供了一个全面的平台。这篇综述首先强调了含有免疫细胞的类器官在癌症、感染、炎症、自身免疫、再生和原发性淋巴器官建模方面的转化潜力。然后研究了目前将免疫细胞整合到类器官中的策略,所使用的免疫细胞来源的多样性,以及维持免疫细胞功能的挑战。最后,讨论了生物工程、生物银行和人工智能在克服现有限制和增强免疫系统建模方面的作用。总的来说,这项研究将含有免疫细胞的类器官定位为转化研究和精准医学的强大平台。
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引用次数: 0
Immunosenescence: Molecular Mechanisms, Diseases, and Therapeutic Innovations 免疫衰老:分子机制、疾病和治疗创新。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-12-18 DOI: 10.1002/mco2.70515
Ninghan Gong, Xiting Pan, Yusi Deng, Jiajia Che, Junhao Bao, Mengqi Wang, Chuan Xu, Xiaowei Liu, Ying Shi

Immunosenescence denotes progressive deterioration of immune system during physiological aging, initially recognized by the observation of heightened susceptibility to diverse pathologies in elder population. Beyond exhibiting canonical cellular senescence features, senescent immune cells manifest multidimensional dysfunction characterized by impaired secretory capacity and functional disorders. This process further triggers systemic epigenetic dysregulation and failure in damage repair, which collectively remodel metabolic and inflammatory microenvironments to attenuate immune responses and elevate risks of diverse degenerative diseases or multiple types of cancer. Critically, senescence-associated secretory phenotype (SASP) factors secreted by senescent cells display profound disease-associated content and spatial–temporal heterogeneity, engaging in bidirectional crosstalk with pathological progression through interconnected signaling axes. Reciprocally, both pathogenic evolution and therapeutic pressures are confirmed to exacerbate immunosenescence, driving impaired replenishment of immune cells and pathological accumulation of immunosuppressive factors that impact disease progression and poor outcomes. As indicated by clinical evidence, senotherapies designed to eliminate senescent cells or block SASP signaling have emerged as promising interventions to ameliorate age-related pathologies. In this review, we systematically combed and delineated disease-specific immunosenescent hallmarks, dissect disease–immunosenescence interplay patterns, and evaluated the translational value of immunosenescence-targeting strategies.

免疫衰老是指生理衰老过程中免疫系统的进行性退化,最初是通过观察老年人对各种疾病的易感性增加而认识到的。除了表现出典型的细胞衰老特征外,衰老的免疫细胞还表现出多方面的功能障碍,其特征是分泌能力受损和功能紊乱。这一过程进一步引发系统性表观遗传失调和损伤修复失败,共同重塑代谢和炎症微环境,以减弱免疫反应,提高多种退行性疾病或多种类型癌症的风险。关键是,衰老细胞分泌的衰老相关分泌表型(senescence associated secretory phenotype, SASP)因子显示出深刻的疾病相关内容和时空异质性,通过相互关联的信号轴与病理进展进行双向串扰。反过来,致病进化和治疗压力都被证实会加剧免疫衰老,导致免疫细胞补充受损和免疫抑制因子的病理积累,从而影响疾病进展和不良结局。临床证据表明,旨在消除衰老细胞或阻断SASP信号传导的老年疗法已成为改善年龄相关病理的有希望的干预措施。在这篇综述中,我们系统地梳理和描述了疾病特异性免疫衰老标志,剖析了疾病-免疫衰老相互作用模式,并评估了免疫衰老靶向策略的转化价值。
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引用次数: 0
Baicalein Enhances Longevity and Healthspan of C. elegans Through the Insulin/IGF-1 Signaling Pathway 黄芩素通过胰岛素/IGF-1信号通路提高秀丽隐杆线虫的寿命和健康寿命
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-12-17 DOI: 10.1002/mco2.70543
Chen Zhao, Daniel Schrapel, Michael Schaefer

Baicalein, a bioactive flavonoid derived from Scutellaria baicalensis, possesses notable anti-inflammatory, antioxidative, and anticancer properties. Despite its therapeutic potential, the full scope of its effects on healthspan and longevity remains unexplored. This study investigates the impact of baicalein on longevity and health-related biomarkers using the nematode Caenorhabditis elegans. Baicalein was administered to a wild-type N2 strain, seven mutant strains, and three reporter strains. Its influence on longevity, motility, lipofuscin accumulation, and oxidative stress resistance was assessed. The methodology included Kaplan–Meier survival analysis, in vivo imaging, fluorescence microscopy, and real-time PCR to evaluate RNA and protein expression. The findings indicate that baicalein significantly extends lifespan and enhances health markers, including improved motility, increased oxidative stress resistance, and reduced lipofuscin accumulation. Mechanistically, baicalein suppressed the DAF-2-mediated insulin/IGF-1 signaling pathway and promoted the nuclear translocation of DAF-16, a pivotal longevity transcription factor. Furthermore, baicalein upregulated the expression of the sod-3 gene, which is associated with enhanced stress tolerance and lifespan extension. These results elucidate the function of baicalein in promoting longevity and healthspan in C. elegans through modulation of insulin/IGF-1 signaling. Future studies are warranted to explore the applicability of baicalein in human aging to pave the way for innovative antiaging supplement formulations.

黄芩素是一种从黄芩中提取的生物活性类黄酮,具有显著的抗炎、抗氧化和抗癌作用。尽管它具有治疗潜力,但它对健康寿命和寿命的全部影响仍未得到探索。本研究利用秀丽隐杆线虫研究黄芩素对寿命和健康相关生物标志物的影响。黄芩素分别用于1株野生型N2菌株、7株突变菌株和3株报告菌株。评估了其对寿命、运动、脂褐素积累和氧化应激抗性的影响。方法包括Kaplan-Meier生存分析、体内成像、荧光显微镜和实时PCR来评估RNA和蛋白质的表达。研究结果表明,黄芩素显著延长寿命,增强健康指标,包括改善运动能力,增强氧化应激抵抗能力,减少脂褐素积累。在机制上,黄芩素抑制daf -2介导的胰岛素/IGF-1信号通路,促进DAF-16的核易位,DAF-16是关键的长寿转录因子。此外,黄芩素上调sod-3基因的表达,这与增强应激耐受性和延长寿命有关。这些结果阐明了黄芩素通过调节胰岛素/IGF-1信号通路促进秀丽隐杆线虫的长寿和健康。未来的研究有必要探索黄芩苷在人类衰老中的适用性,为创新抗衰老补充剂配方铺平道路。
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引用次数: 0
Tumor Cell Plasticity in Cancer: Signaling Pathways and Pharmaceutical Interventions 肿瘤细胞可塑性:信号通路和药物干预。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-12-17 DOI: 10.1002/mco2.70541
Shangwei Sun, Yunwei Sun, Ling Lan, Siyuan Luan, Jin Zhou, Jiehui Deng, Yong Yuan, Zhong Wu

Cellular plasticity, the ability of cells to dynamically alter their phenotypes, is a key driver of tumor evolution. This process is a hallmark of cancer which enables the acquisition of malignant traits, leading to metastasis, progression, and therapy resistance. It is governed by cell-intrinsic factors, such as genomic instability and epigenetic reprogramming, and extrinsic stimuli from the tumor microenvironment. However, a unified framework is still needed to position plasticity as the central process that links these drivers to diverse cancer hallmarks. In this review, we first explore how plasticity enables key steps of tumor evolution, including tumorigenesis, metastasis driven by epithelial–mesenchymal plasticity (EMP), therapy resistance, and cancer stem cell (CSC) dynamics. We then summarize the intrinsic and extrinsic mechanisms that govern this adaptability. Finally, we discuss clinical advances in monitoring and targeting plasticity and highlight how new spatiotemporal technologies can address current research challenges. This review provides a framework positioning cellular plasticity as a central mechanism in cancer evolution, connecting its fundamental drivers to clinical translation. By synthesizing the latest advances, we offer perspectives for developing therapies that integrate prediction, monitoring, and targeting of plasticity to proactively guide cancer evolution toward manageable outcomes.

细胞可塑性,即细胞动态改变其表型的能力,是肿瘤进化的关键驱动因素。这个过程是癌症的一个标志,它使恶性特征的获得,导致转移,进展和治疗抵抗。它受细胞内在因素的控制,如基因组不稳定性和表观遗传重编程,以及来自肿瘤微环境的外部刺激。然而,仍然需要一个统一的框架来将可塑性定位为将这些驱动因素与各种癌症特征联系起来的中心过程。在这篇综述中,我们首先探讨了可塑性如何使肿瘤进化的关键步骤,包括肿瘤发生、上皮-间充质可塑性(EMP)驱动的转移、治疗耐药性和癌症干细胞(CSC)动力学。然后我们总结了控制这种适应性的内在和外在机制。最后,我们讨论了监测和靶向可塑性的临床进展,并强调了新的时空技术如何解决当前的研究挑战。这篇综述提供了一个框架,将细胞可塑性定位为癌症进化的中心机制,将其基本驱动因素与临床转化联系起来。通过综合最新进展,我们为开发整合可塑性预测,监测和靶向的治疗方法提供了观点,以主动引导癌症进化到可管理的结果。
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引用次数: 0
A Pseudovirus-Based Method for the Simultaneous Quantitation of Neutralization Antibodies Against All Three Poliovirus Serotypes 一种基于伪病毒的同时定量检测三种脊髓灰质炎病毒血清型中和抗体的方法。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-12-17 DOI: 10.1002/mco2.70551
Meiyan Liu, Yuanling Yu, Yadong Li, Zexin Tao, Lan Huang, Xi Wu, Yong Zhang, Shuangli Zhu, Qiang Sun, Tianjiao Ji, Dongyan Wang, Ziteng Liang, Shuo Liu, Meina Cai, Yimeng An, Jierui Li, Weijin Huang, Guoyang Liao, Li Yi, Lei Ma, Li Zhang, Youchun Wang

Poliovirus is characterized by three antigenically distinct serotypes that do not elicit cross-neutralizing antibodies. In the final stages of poliovirus eradication, the gold-standard conventional neutralization test (cNT) for detecting serum neutralizing antibodies (NAbs) is highly restricted due to biosafety concerns. To address this, we developed a high-throughput, tri-color pseudovirus-based neutralization assay (PBNA) for the simultaneous quantification of NAbs against all three poliovirus serotypes. We generated pseudoviruses by co-transfecting cells with P1 plasmids, a replication plasmid, and a T7 RNA polymerase plasmid. By optimizing P1 expression, sensitive cell selection (HEK 293T), and plasmid transfection ratios (3:3:1 for P1, replicon, and T7 plasmids), we produced high-titer pseudoviruses (>29-fold increase in titers). Based on high-titer pseudovirus encoding distinct fluorophores (E2, eGFP, and RFP), the PBNA was established, which was optimized for a 12 h incubation period, 4 × 10⁴ cells per well, and 1500 TCID50/mL of pseudovirus. It demonstrated high sensitivity, strong serotype specificity, and excellent reproducibility. Furthermore, the PBNA and cNT exhibited excellent congruency (r > 0.88, all serotypes). The tri-color PBNA provides a safe, rapid, and alternative to the cNT, making it an invaluable tool for large-scale serosurveillance, novel vaccine evaluation, and fundamental virological investigations in the post-eradication era.

脊髓灰质炎病毒的特点是三种抗原不同的血清型,不会引起交叉中和抗体。在根除脊髓灰质炎病毒的最后阶段,用于检测血清中和抗体(nab)的金标准常规中和试验(cNT)由于生物安全问题受到高度限制。为了解决这一问题,我们开发了一种高通量、基于三色假病毒的中和试验(PBNA),用于同时定量针对所有三种脊髓灰质炎病毒血清型的nab。我们用P1质粒、复制质粒和T7 RNA聚合酶质粒共转染细胞,生成假病毒。通过优化P1表达、敏感细胞选择(HEK 293T)和质粒转染比例(P1、复制子和T7质粒3:3:1),我们获得了高滴度假病毒(>滴度提高29倍)。基于编码不同荧光团(E2、eGFP和RFP)的高滴度假病毒,建立了PBNA,其孵育时间为12小时,每孔4 × 10⁴细胞,1500 TCID50/mL假病毒。该方法灵敏度高,血清型特异性强,重现性好。此外,PBNA和cNT在所有血清型中均表现出极好的一致性(r > 0.88)。三色PBNA提供了一种安全、快速和可替代cNT的方法,使其成为根除后时代大规模血清监测、新型疫苗评估和基础病毒学调查的宝贵工具。
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引用次数: 0
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