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Natural Products in Cancer Prevention and Therapy: Current Challenges and Future Directions. 癌症预防和治疗中的天然产物:当前的挑战和未来的方向。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-01-28 eCollection Date: 2026-02-01 DOI: 10.1002/mco2.70585
Ruimiao Qian, Jun Ge, Ni Fan, Zheng Sun, Chengcheng Zhao, Yujiao Sun, Yingpeng Li, Yunfei Li, Hui Fu

Natural products, originating from diverse biological sources, serve as a critical reservoir of bioactive compounds for cancer intervention across prevention, treatment, and supportive care. Their mechanisms extend beyond direct cytotoxicity to include modulation of tumor metabolism-such as glucose, lipid, and glutamine pathways-and the tumor microenvironment (TME), highlighting their multifaceted role in oncology. However, a systematic synthesis of how natural products concurrently target metabolic reprogramming and immune-stromal components across different clinical phases remains lacking. This review delineates the therapeutic applications of natural products-such as flavonoids, alkaloids, and terpenoids-across the clinical continuum, including perioperative support, concurrent chemoradiotherapy, maintenance therapy, and metastasis suppression. We detail their actions in disrupting core metabolic pathways and elucidate their influence on TME components like cancer-associated fibroblasts, extracellular matrix, and immune cells including tumor-associated macrophages and T lymphocytes. Furthermore, we discuss innovative delivery strategies-including nanocarriers and codelivery systems-that enhance bioavailability and enable synergistic combination with chemotherapy or immunotherapy. By integrating mechanistic insights with clinical translation strategies, this work provides a comprehensive framework for employing natural products in biomarker-driven, precision oncology regimens, supporting their evolving role in multimodal cancer care.

来自不同生物来源的天然产物是癌症预防、治疗和支持性护理干预的重要生物活性化合物储存库。它们的机制超越了直接的细胞毒性,包括调节肿瘤代谢(如葡萄糖、脂质和谷氨酰胺途径)和肿瘤微环境(TME),突出了它们在肿瘤学中的多方面作用。然而,关于天然产物如何在不同临床阶段同时靶向代谢重编程和免疫基质成分的系统合成仍然缺乏。本文综述了天然产物如类黄酮、生物碱和萜类化合物在临床中的应用,包括围手术期支持、同步放化疗、维持治疗和转移抑制。我们详细介绍了它们在破坏核心代谢途径中的作用,并阐明了它们对TME成分的影响,如癌症相关成纤维细胞、细胞外基质和免疫细胞,包括肿瘤相关巨噬细胞和T淋巴细胞。此外,我们还讨论了创新的递送策略,包括纳米载体和共递送系统,以提高生物利用度,并与化疗或免疫治疗协同结合。通过将机制见解与临床翻译策略相结合,这项工作为在生物标志物驱动的精确肿瘤治疗方案中使用天然产物提供了一个全面的框架,支持它们在多模式癌症治疗中的不断发展的作用。
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引用次数: 0
Tumor-Associated Macrophages as Therapeutic Targets: Deciphering Interaction Networks and Advancing Clinical Translation 肿瘤相关巨噬细胞作为治疗靶点:破译相互作用网络和推进临床翻译。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-01-28 DOI: 10.1002/mco2.70599
Wurihan Bao, Xiaojie Qu, Yiqi Wang, Dan Huang, Huiling Zhang, Mingyuan Dong, Han Sun, Zhaogang Yang, Xuefeng Li

Tumor-associated macrophages (TAMs) represent the most abundant immune cell population within the tumor microenvironment and are central drivers of malignant progression and treatment resistance. High TAMs infiltration in solid tumors consistently correlates with poor clinical outcomes, largely due to their role in establishing an immunosuppressive milieu that supports tumor growth, metastasis, and undermines the efficacy of chemotherapy, radiotherapy (RT), and immune checkpoint inhibitors. Although TAMs are well-recognized promoters of tumor progression, the development of effective strategies to therapeutically target them remains an unmet clinical need. In this review, we examine the multifaceted mechanisms through which TAMs contribute to malignancy, including phagocytic signaling modulation, metabolic reprogramming, exosomal communication, and crosstalk with other immune cells. We also evaluate three key therapeutic strategies: blocking TAMs recruitment and survival, reprogramming TAMs toward antitumor phenotypes, and the emerging approach of chimeric antigen receptor macrophage therapy. Furthermore, we highlight the synergistic potential of integrating TAMs-targeted strategies with conventional chemotherapy, RT, and immunotherapeutic approaches. By synthesizing current clinical evidence, this review aims to inform the rational design of next-generation TAMs-targeted interventions and to propose novel strategies for overcoming treatment resistance.

肿瘤相关巨噬细胞(tam)是肿瘤微环境中最丰富的免疫细胞群,是恶性进展和治疗耐药性的主要驱动因素。实体肿瘤中的高tam浸润始终与较差的临床结果相关,这主要是由于它们在建立支持肿瘤生长、转移的免疫抑制环境中的作用,并破坏化疗、放疗(RT)和免疫检查点抑制剂的疗效。虽然tam是公认的肿瘤进展的促进剂,但开发有效的治疗策略仍未满足临床需求。在这篇综述中,我们研究了tam促进恶性肿瘤的多方面机制,包括吞噬细胞信号调节、代谢重编程、外泌体通讯和与其他免疫细胞的串扰。我们还评估了三种关键的治疗策略:阻断tam的募集和存活,将tam重新编程为抗肿瘤表型,以及嵌合抗原受体巨噬细胞治疗的新方法。此外,我们强调整合tam靶向策略与传统化疗,RT和免疫治疗方法的协同潜力。通过综合目前的临床证据,本综述旨在为下一代tam靶向干预措施的合理设计提供信息,并提出克服治疗耐药的新策略。
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引用次数: 0
Therapeutic Effects of Noninvasive Electrical Stimulation in Combination Transplantation of Human Adipose-Derived Stem Cells-Derived Dopaminergic Neuron on the Monkey Model of Parkinson's Disease. 无创电刺激联合移植人脂肪源性干细胞-多巴胺能神经元对猴帕金森病模型的治疗作用
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-01-28 eCollection Date: 2026-02-01 DOI: 10.1002/mco2.70595
Chunhui Huang, Shane Gao, Xiao Zheng, Xichen Song, Jiaxi Wu, Kai Liao, Jiawei Li, Yingqi Lin, Caijuan Li, Yaqun Lu, Jiahao Feng, Huiyi Wei, Lu Wang, Hao Xu, Wei Wang, Yizhi Chen, Jianhao Wu, Jiale Gao, Junzhu Song, Chunxiang Shi, Jun Zhang, Sen Yan

Parkinson's disease (PD) is a neurodegenerative disease caused by the loss of dopaminergic neurons (DNs). Currently, there is no treatment that can cure PD. Deep brain stimulation has been used to treat PD due to its good effectiveness, but there are safety issues. Therefore, noninvasive electrical stimulation (NES) may be an effective and safe strategy for the treatment of PD. Here, we performed NES treatment and NES combined with human adipose-derived stem cells-induced DN transplantation (NES-DN) on the PD monkey model to explore the therapeutic effect of NES on PD. The results show that NES or NES-DN can increase dopamine levels, improve mitochondrial dysfunction, reduce neuroinflammation, enhance synaptic function, and protect TH neurons, thereby improving the movement disorders of PD. Moreover, NES/NES-DN may exert immunomodulatory effects by regulating serpin family A member 3 in PD monkeys. Our results support the scientific basis and preclinical evidence for NES in the treatment of PD. Not only does NES alone improve PD, but NES combined with stem cell therapy can greatly enhance the therapeutic effect of PD.

帕金森病(PD)是一种由多巴胺能神经元(DNs)丧失引起的神经退行性疾病。目前,还没有能够治愈帕金森病的治疗方法。脑深部电刺激因其良好的疗效已被用于治疗帕金森病,但存在安全性问题。因此,无创电刺激(NES)可能是一种有效和安全的治疗PD的策略。本研究在PD猴模型上进行NES治疗和NES联合人脂肪源性干细胞诱导DN移植(NES-DN),探讨NES对PD的治疗效果。结果表明,NES或NES- dn可以增加多巴胺水平,改善线粒体功能障碍,减少神经炎症,增强突触功能,保护TH神经元,从而改善PD的运动障碍。此外,NES/NES- dn可能通过调控蛇蛋白家族A成员3在PD猴体内发挥免疫调节作用。我们的研究结果为NES治疗PD提供了科学依据和临床前证据。NES不仅可以单独改善PD,而且NES联合干细胞治疗可以大大提高PD的治疗效果。
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引用次数: 0
Integrative Single-Cell Analysis Reveals Targetable Vacuole Membrane Protein 1-Mediated Mechanism of Tumor Angiogenesis in Glioblastoma 综合单细胞分析揭示胶质母细胞瘤中液泡膜蛋白1介导的肿瘤血管生成机制。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-01-25 DOI: 10.1002/mco2.70619
Lei Jin, Bo Chen, Junbo Liao, Wenlong Guo, Zhiyuan Zhu, Salida Ali, Gilberto Ka-Kit Leung, Peng Wang, Karrie M. Kiang

Vacuole membrane Protein 1 (VMP1) is widely known to be an important mediator in the formation of autophagosomes, playing a crucial role in macroautophagic processes. Emerging evidence suggests that VMP1 may have context-dependent functions across diverse cancer types and different tumor microenvironments, both within the context of autophagy and beyond. Here, using glioblastoma as a cancer model, we found that VMP1 can promote tumor growth independent of its autophagic functions. We observed significant upregulation of VMP1 in glioblastoma, which was correlated with poorer prognosis, and its ability to promote tumor growth without altering autophagic flux. Bulk, single-cell, and spatial transcriptomics analyses revealed that the pro-angiogenic markers were enriched in glioblastomas with high VMP1 expression. We further validated that overexpression of VMP1 would enhance angiogenesis through VEGFA-VEGFR2 signaling-mediated activation in endothelial cells. Treatment with bevacizumab, a monoclonal antibody against VEGFA, significantly inhibited VMP1-driven tumor growth and prolonged survival in mice. Our study thus uncovered non-autophagic functions of VMP1 as an important mediator in glioblastoma angiogenesis with the potential for therapeutic targeting.

液泡膜蛋白1 (VMP1)被广泛认为是自噬体形成的重要介质,在巨噬过程中起着至关重要的作用。新出现的证据表明,VMP1可能在不同的癌症类型和不同的肿瘤微环境中具有上下文依赖的功能,无论是在自噬的背景下还是在自噬的背景下。本文以胶质母细胞瘤为肿瘤模型,我们发现VMP1可以独立于其自噬功能促进肿瘤生长。我们观察到VMP1在胶质母细胞瘤中显著上调,这与较差的预后以及其在不改变自噬通量的情况下促进肿瘤生长的能力相关。大量、单细胞和空间转录组学分析显示,促血管生成标志物在VMP1高表达的胶质母细胞瘤中富集。我们进一步验证了VMP1的过表达会通过vegf - vegfr2信号介导的内皮细胞激活来促进血管生成。贝伐珠单抗(一种抗VEGFA的单克隆抗体)治疗可显著抑制vmp1驱动的肿瘤生长,延长小鼠的生存期。因此,我们的研究揭示了VMP1的非自噬功能作为胶质母细胞瘤血管生成的重要介质,具有治疗靶向性的潜力。
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引用次数: 0
Temporal Network Analysis of Bedtime Procrastination and Depression Among Adolescents: A Prospective Longitudinal Study 青少年就寝拖延症与抑郁的时间网络分析:一项前瞻性纵向研究。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-01-25 DOI: 10.1002/mco2.70620
Tingting Gao, Wei Zhang, Yingying Su

Research on bedtime procrastination and depression has primarily used traditional psychometric approaches, limiting the ability to capture symptom-level temporal dynamics. This study aimed to examine within- and between-person associations between symptoms of depression and bedtime procrastination, considering sex differences. Data from 3296 adolescents followed over 18 months were used to explore symptom associations and their centrality in cross-sectional networks, as well as cross-lagged effects to clarify temporal relationships. In the within-person temporal network, not going to bed on time and trouble concentrating were the most influential symptoms for males and females, respectively. In the contemporaneous network, feeling worried and not going to bed on time were most central for males, while feeling tired and feeling worried were central for females. No significant sex differences were found in overall network strength (S = 0.10, p = 0.75) or structure (M = 0.48, p = 0.09). Positive associations were consistent at the between-person level. Overall, this study characterizes the symptom-to-symptom associations between depression and bedtime procrastination at both the within- and between-person levels, with notable sex differences. For males, sleep difficulties and worries were key factors, while for females, concentration issues and fatigue played a more significant role.

睡前拖延症和抑郁症的研究主要使用传统的心理测量方法,限制了捕捉症状水平时间动态的能力。这项研究的目的是在考虑到性别差异的情况下,研究抑郁症状和睡前拖延症之间的人际关系。来自3296名青少年超过18个月的数据被用来探索症状关联及其在横断面网络中的中心性,以及交叉滞后效应来澄清时间关系。在人际时间网络中,不按时睡觉和注意力不集中分别是对男性和女性影响最大的症状。在同时期的网络中,男性最主要的感觉是担心和不按时睡觉,而女性最主要的感觉是疲倦和担心。在整体网络强度(S = 0.10, p = 0.75)或结构(M = 0.48, p = 0.09)方面没有发现显著的性别差异。积极的联系在人际层面上是一致的。总的来说,这项研究在人体内和人与人之间的水平上描述了抑郁症和就寝拖延症之间的症状对症状的关联,并存在显著的性别差异。对于男性来说,睡眠困难和焦虑是关键因素,而对于女性来说,注意力不集中和疲劳是更重要的因素。
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引用次数: 0
Genomic-Based Epidemiological Analysis of the Post-Pandemic Mycoplasma pneumoniae Resurgence 大流行后肺炎支原体复发的基因组流行病学分析。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-01-22 DOI: 10.1002/mco2.70617
Hongbo Liu, Xiaoyi Zheng, Xinying Du, Yule Wang, Ying Xiang, Qi Wang, Sai Tian, Yufan Xian, Wenbin Chen, Hongbo Liu, Hui Wang, Chao Wang, Mingjuan Yang, Huiqun Jia, Xiaoying Li, Yunjie Dan, Libo Tong, Guohong Deng, Huiling Li, Fusheng Wang, Hongbin Song, Shaofu Qiu

Mycoplasma pneumoniae infections resurged globally in 2023–2024 following a significant decline during the coronavirus disease 2019 (COVID-19) pandemic. To understand the genomic epidemiology of this resurgence in China, a nationwide 1-year genomic surveillance identified 9907 patients infected with M. pneumoniae, resulting in an overall positive rate of 10.05%. We developed a hybrid capture-based targeted next-generation sequencing (hc-tNGS) assay, obtaining 271 high-quality genomes directly from clinical samples. Phylogenetic analysis of a global collection of 562 M. pneumoniae genomes identified six distinct lineages, including three newly emerged main Chinese clades (MCCs) that co-circulated across various regions of China. Among these MCCs, one clade, comprising P1-1, ST17, and L4, was localized in Taiwan, while two others—P1-1, ST3, and L6 clade, and P1-2, ST14 and L2 clade—co-circulated in different regions of China during the 2023–2024 epidemic season. Notably, 96.31% of the isolates identified in this study exhibited a point mutation, primarily A2063G (95.94%). This study offers a comprehensive genomic characterization of the post-pandemic M. pneumoniae resurgence in China, highlighting the emergence and spread of resistant clades. These findings emphasize the importance of adopting a One Health approach to address the potential global public health threats posed by this resurgent pathogen.

在2019冠状病毒病(COVID-19)大流行期间大幅下降后,全球肺炎支原体感染在2023-2024年再次出现。为了了解这种疾病在中国卷土重来的基因组流行病学,一项为期1年的全国基因组监测确定了9907例肺炎支原体感染患者,总阳性率为10.05%。我们开发了一种基于混合捕获的靶向下一代测序(hc-tNGS)方法,直接从临床样本中获得了271个高质量的基因组。对全球收集的562个肺炎支原体基因组进行系统发育分析,确定了6个不同的谱系,其中包括3个新出现的主要中国分支(mcc),它们在中国不同地区共同传播。在这些mcc中,P1-1、ST17和L4分支集中于台湾,P1-1、ST3和L6分支以及P1-2、ST14和L2分支在2023-2024年流行季期间在中国不同地区共同流行。值得注意的是,本研究中鉴定的分离株中有96.31%出现点突变,主要是A2063G(95.94%)。本研究提供了中国大流行后肺炎支原体复苏的全面基因组特征,突出了耐药分支的出现和传播。这些发现强调了采取“同一个健康”方针来应对这种死灰复燃的病原体所构成的潜在全球公共卫生威胁的重要性。
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引用次数: 0
Radiogenomics: Current Understandings and Future Perspectives 放射基因组学:当前的理解和未来的展望。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-01-22 DOI: 10.1002/mco2.70583
Xinyu Zhang, Qingpei Lai, Jin Cao, Jerry Chi Fung Ching, Xinzhi Teng, Jiang Zhang, Shara Wee Yee Lee, Ge Ren, Jing Cai

Radiogenomics is a rapidly developing field that links radiological image features (radiomics) to genomic-level data (genomics, transcriptomics, and epigenomics), addressing the limitations of single-omic approaches. Radiomics provides a noninvasive and cost-effective method to capture tissue-level characteristics, while genomics elucidates the underlying molecular mechanisms. The central hypothesis is that the formation of imaging phenotypes is associated with the genetic and molecular processes, and thus can reflect underlying biological activities. This review presents the fundamental principles of radiogenomic analysis, covering key concepts in image analysis and gene analysis, as well as advanced analytical techniques for linking imaging and genomic data. Moreover, we summarize recent research findings across various human diseases, including oncology and nononcology, to highlight the current understandings and achievements in this field. Radiogenomics shows potential in clinical applications for elucidating disease mechanisms, detecting genomic variations noninvasively, and improving prognosis predictions. However, its implementation in clinical practice is limited by data scarcity, analytical methods, and barriers in translational processes. Future research should focus on enhancing data quality and establishing guidelines, developing analytical platforms, and validating current findings through animal models and clinical trials.

放射基因组学是一个快速发展的领域,它将放射图像特征(放射组学)与基因组水平数据(基因组学、转录组学和表观基因组学)联系起来,解决了单基因组学方法的局限性。放射组学提供了一种非侵入性和成本效益的方法来捕获组织水平的特征,而基因组学阐明了潜在的分子机制。中心假设是成像表型的形成与遗传和分子过程有关,因此可以反映潜在的生物活动。本文介绍了放射基因组学分析的基本原理,包括图像分析和基因分析中的关键概念,以及将成像和基因组数据联系起来的先进分析技术。此外,我们总结了各种人类疾病的最新研究成果,包括肿瘤学和非肿瘤学,以突出当前在该领域的理解和成就。放射基因组学在阐明疾病机制、无创检测基因组变异和改善预后预测方面具有临床应用潜力。然而,其在临床实践中的实施受到数据稀缺、分析方法和翻译过程中的障碍的限制。未来的研究应侧重于提高数据质量和建立指南,开发分析平台,并通过动物模型和临床试验验证当前的发现。
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引用次数: 0
An mRNA Vaccine Based on Antigens From Conserved Regions of Monkeypox Virus A35R and M1R With a Dimer-Like Conformation Confers Protection Against Both Monkeypox Virus and Vaccinia Virus Infections in Mice 基于猴痘病毒A35R和M1R保守区二聚体样构象抗原的mRNA疫苗对小鼠猴痘病毒和牛痘病毒感染具有保护作用。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-01-22 DOI: 10.1002/mco2.70614
Cong Tang, Longhai Yuan, Yun Xie, Yun Yang, Yanan Zhou, Junbing Wang, Hao Yang, Rui Peng, Jiali Xu, Wenhai Yu, Qing Huang, Wenqi Quan, Baisheng Li, Youchun Wang, Shuaiyao Lu

The 2022 global mpox outbreak caused by the monkeypox virus (MPXV) has underscored the urgent need for improved vaccine development. To address this need, we developed four candidate vaccine antigens based on conserved sequences of the MPXV A35R and M1R proteins utilizing a lipid nanoparticle (LNP) delivery system. All four vaccine candidates elicited varying degrees of humoral and cellular immune responses and conferred differential protection against MPXV and vaccinia virus (VACV) in BALB/c mice; notably, the dual-antigen vaccines MV1 and MV2 induced more potent immunogenicity, including higher neutralizing antibody titers and cytokine secretion levels. However, among the four candidates, only the dual-antigen vaccines MV1 and MV2 conferred protective efficacy in AGB6 mice and reduced infection-induced pox lesion formation, indicating that antigens containing both intracellular mature virus (IMV) and extracellular enveloped virus (EEV) targets may be key to exerting robust protection. Notably, MV2—which was designed via structural truncation and recombination based on poxvirus-broad-spectrum antibodies using the AlphaFold3 prediction platform and adopts a single-chain “dimer-like” configuration—exhibited not only optimal protective efficacy but also sustained durable immune responses and protection. These findings indicate that MV2 induces favorable immunogenicity and has potential for preventing MPXV and VACV infections, supporting its promise as a clinical vaccine candidate for MPXV.

2022年由猴痘病毒(MPXV)引起的全球麻疹疫情突出表明迫切需要改进疫苗开发。为了满足这一需求,我们利用脂质纳米颗粒(LNP)递送系统,基于MPXV A35R和M1R蛋白的保守序列开发了四种候选疫苗抗原。在BALB/c小鼠中,所有四种候选疫苗都引起了不同程度的体液和细胞免疫反应,并对MPXV和痘苗病毒(VACV)具有不同的保护作用;值得注意的是,双抗原疫苗MV1和MV2诱导了更强的免疫原性,包括更高的中和抗体滴度和细胞因子分泌水平。然而,在四种候选疫苗中,只有MV1和MV2双抗原疫苗对AGB6小鼠具有保护作用,并减少感染诱导的痘病变形成,这表明含有细胞内成熟病毒(IMV)和细胞外包膜病毒(EEV)靶点的抗原可能是发挥强大保护作用的关键。值得注意的是,利用AlphaFold3预测平台,通过基于痘病毒广谱抗体的结构截断和重组设计的mv2 -采用单链“二聚体样”构型,不仅具有最佳的保护效果,而且具有持续持久的免疫反应和保护作用。这些发现表明MV2诱导了良好的免疫原性,并具有预防MPXV和VACV感染的潜力,支持其作为MPXV临床候选疫苗的前景。
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引用次数: 0
Neuro-Immune Crosstalk: Molecular Mechanisms, Biological Functions, Diseases, and Therapeutic Targets 神经免疫串扰:分子机制、生物学功能、疾病和治疗靶点。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-01-22 DOI: 10.1002/mco2.70497
Xin Guo, Hui Liu, Yu-Jing Song, Jian-Hua Wang, Danfeng Liu, Zhi-Wei Zheng, Jia-Jun Li, Boya Li, An Song, Wei He, Lei-Lei Yang, Shuo Wang

The advent of neuroimmunology has dismantled the traditional doctrine of the brain's immune privilege, uncovering a sophisticated and dynamic bidirectional regulatory interplay between the nervous and immune systems. This review synthesizes pivotal advances in neuroimmunology, integrating recent anatomical and molecular discoveries to refine the understanding of neuro-immune communication. It highlights the pathological roles of neurotransmitters, cytokines, and their signaling networks in neurodegenerative, psychiatric, and neoplastic diseases, while critically examining contested regulatory mechanisms. The review further evaluates the clinical translational potential and challenges of innovative strategies such as vagus nerve stimulation, optogenetics, multiomics sequencing, and cytokine-targeted therapies. By integrating multidisciplinary perspectives, this review consolidates a theoretical framework for neuro-immune research and provides insights into precision medicine for related diseases. On the basis of synthesizing existing knowledge, it proposes promising research directions, identifies priorities and potential challenges for future investigations, and emphasizes the value of neuro-immune mechanisms in guiding therapeutic development—including target identification, design of individualized treatment strategies, and cross-disciplinary collaborative innovation to advance clinical interventions for neuro-immune diseases. Finally, the review delves into the recent advances and challenges in combined neuromodulation-immunotherapy strategies.

神经免疫学的出现打破了大脑免疫特权的传统学说,揭示了神经系统和免疫系统之间复杂而动态的双向调节相互作用。这篇综述综合了神经免疫学的关键进展,整合了最近的解剖学和分子发现,以完善对神经免疫通讯的理解。它强调了神经递质、细胞因子及其信号网络在神经退行性疾病、精神疾病和肿瘤疾病中的病理作用,同时批判性地研究了有争议的调节机制。本文进一步评估了迷走神经刺激、光遗传学、多组学测序和细胞因子靶向治疗等创新策略的临床转化潜力和挑战。通过整合多学科的观点,本综述巩固了神经免疫研究的理论框架,并为相关疾病的精准医学提供了见解。在综合现有知识的基础上,提出了有前景的研究方向,确定了未来研究的重点和潜在挑战,并强调了神经免疫机制在指导治疗发展中的价值,包括靶点识别、个性化治疗策略设计和跨学科协同创新,以推进神经免疫疾病的临床干预。最后,综述了神经调节-免疫联合治疗策略的最新进展和挑战。
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引用次数: 0
LungSurg: A Generative AI System for Segmentation and Phase Classification in Thoracoscopic Lobectomy LungSurg:一个用于胸腔镜肺叶切除术分割和相位分类的生成式AI系统。
IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-01-20 DOI: 10.1002/mco2.70613
Hengrui Liang, Zeping Yan, Yudong Zhang, Keyao Dai, Hongyan Li, Jianfei Shen, Pengfei Li, Jipeng Jiang, Guochao Zhang, Xiang Zhang, Hao Chen, Honglang Zhang, Yuzhuo Zhang, Shujun Liang, Minsheng Chen, Xin Wang, Anyi Rao, Wei Wang, Lei Zhao, Yuchen Guo, Jianxing He

The integration of artificial intelligence (AI) into surgical practices is advancing towards greater intelligence and precision. This study assesses the potential of AI in video-assisted thoracoscopic surgery (VATS) lobectomy for lung cancer by developing an AI system named LungSurg. LungSurg comprises two interconnected networks: a segmentation network for identifying intrathoracic anatomy and surgical instruments, and a classification network for recognizing surgical phases. We prospectively collected 222 VATS lobectomy videos from eight centers, generating over 32,000 annotations and more than one million frames with phase information. In external validation, the segmentation network achieved mean Average precision scores of 0.745 for the left lung and 0.726 for the right lung across various instruments and anatomical structures. The classification network demonstrated Top-1 and Top-3 accuracies of 71.5% and 88.0%, respectively, in identifying 14 surgical phases. Comparative experiments revealed that LungSurg performed comparably to senior surgeons in anatomical identification and surpassed them in sensitivity. In addition, an educational study showed that surgical residents trained with LungSurg significantly improved their anatomical identification and phase classification skills compared to those using conventional methods. These results indicate that LungSurg accurately analyzes VATS lobectomy procedures, highlighting the feasibility and potential of AI-driven tools in enhancing thoracic surgical practices.

人工智能(AI)与外科手术的整合正朝着更智能和更精确的方向发展。本研究通过开发名为LungSurg的人工智能系统,评估了人工智能在肺癌视频胸腔镜肺叶切除术(VATS)中的潜力。LungSurg包括两个相互连接的网络:用于识别胸内解剖和手术器械的分割网络,以及用于识别手术阶段的分类网络。我们前瞻性地收集了来自8个中心的222个VATS肺叶切除术视频,生成了超过32,000个注释和超过100万帧的相位信息。在外部验证中,该分割网络在不同仪器和解剖结构下,左肺的平均精度得分为0.745,右肺的平均精度得分为0.726。该分类网络对14个手术分期的Top-1和Top-3准确率分别为71.5%和88.0%。对比实验显示,LungSurg在解剖识别方面的表现与资深外科医生相当,在灵敏度上超过了他们。此外,一项教育研究表明,与使用传统方法的外科住院医师相比,接受过LungSurg培训的外科住院医师的解剖识别和相位分类技能显著提高。这些结果表明,LungSurg准确地分析了VATS肺叶切除术,突出了人工智能驱动工具在增强胸外科实践方面的可行性和潜力。
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