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.
{"title":"Monkeypox Virus: Epidemiology, Virology, Diagnosis, Vaccine, and Therapeutics","authors":"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","doi":"10.1002/mco2.70525","DOIUrl":"10.1002/mco2.70525","url":null,"abstract":"<p>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.</p>","PeriodicalId":94133,"journal":{"name":"MedComm","volume":"7 1","pages":""},"PeriodicalIF":10.7,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12757852/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145902062","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}
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。
{"title":"Ramalin Ameliorates Alzheimer's Disease Pathology by Targeting BACE1, HDAC6, and MAPK Pathways","authors":"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","doi":"10.1002/mco2.70518","DOIUrl":"10.1002/mco2.70518","url":null,"abstract":"<p>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.</p>","PeriodicalId":94133,"journal":{"name":"MedComm","volume":"7 1","pages":""},"PeriodicalIF":10.7,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12757677/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145902173","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}
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.
{"title":"Robust Diagnostic and Therapeutic Biomarkers for Tuberculosis Identified Through Multi-Omics and Mendelian Randomization Analysis","authors":"Chenglin Zhu, Jiaxi Chen, Ying Li, Qi Zhang, Qiqi Lu, Ningxuan Zhang, Hao Fan, Muhammad Mahtab Aslam Khan Khakwani, Lei Zhang, Ji-Cheng Li","doi":"10.1002/mco2.70559","DOIUrl":"10.1002/mco2.70559","url":null,"abstract":"<p>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 <i>Mycobacterium tuberculosis</i> 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.</p>","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/PMC12748937/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145879891","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}
<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
{"title":"DNA Circuits That Learn: Biochemical Signal Processing for Personalized Diagnosis and Treatment","authors":"Wen Yan Huang, Kyunghee Noh","doi":"10.1002/mco2.70573","DOIUrl":"10.1002/mco2.70573","url":null,"abstract":"<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 ","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}
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.
{"title":"The Role of Macrophages in Cancer: From Basic Research to Clinical Applications","authors":"Zhimei Liu, Yan Li, Jingchao Cao, Yefeng Qiu, Kun Yu, Shoulong Deng","doi":"10.1002/mco2.70547","DOIUrl":"10.1002/mco2.70547","url":null,"abstract":"<p>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.</p>","PeriodicalId":94133,"journal":{"name":"MedComm","volume":"7 1","pages":""},"PeriodicalIF":10.7,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12717452/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145806839","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}
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.
{"title":"Immune and Immune-Integrated Organoids as NextGeneration Platforms for Disease Modeling","authors":"Kimiya Rashidan, Malaksima Ayadilord, Ali Hazrati, Amirhossein Nazerian, Abbas Shafiee, Seyed Mahmoud Hashemi","doi":"10.1002/mco2.70531","DOIUrl":"10.1002/mco2.70531","url":null,"abstract":"<p>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.</p>","PeriodicalId":94133,"journal":{"name":"MedComm","volume":"6 12","pages":""},"PeriodicalIF":10.7,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12715344/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145806846","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}
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.
{"title":"Immunosenescence: Molecular Mechanisms, Diseases, and Therapeutic Innovations","authors":"Ninghan Gong, Xiting Pan, Yusi Deng, Jiajia Che, Junhao Bao, Mengqi Wang, Chuan Xu, Xiaowei Liu, Ying Shi","doi":"10.1002/mco2.70515","DOIUrl":"10.1002/mco2.70515","url":null,"abstract":"<p>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.</p>","PeriodicalId":94133,"journal":{"name":"MedComm","volume":"6 12","pages":""},"PeriodicalIF":10.7,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12715364/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145806824","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}
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.
{"title":"Baicalein Enhances Longevity and Healthspan of C. elegans Through the Insulin/IGF-1 Signaling Pathway","authors":"Chen Zhao, Daniel Schrapel, Michael Schaefer","doi":"10.1002/mco2.70543","DOIUrl":"10.1002/mco2.70543","url":null,"abstract":"<p>Baicalein, a bioactive flavonoid derived from <i>Scutellaria baicalensis</i>, 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 <i>Caenorhabditis elegans</i>. 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 <i>sod-3</i> gene, which is associated with enhanced stress tolerance and lifespan extension. These results elucidate the function of baicalein in promoting longevity and healthspan in <i>C. elegans</i> 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.</p>","PeriodicalId":94133,"journal":{"name":"MedComm","volume":"6 12","pages":""},"PeriodicalIF":10.7,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12710425/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145784287","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}
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.
{"title":"Tumor Cell Plasticity in Cancer: Signaling Pathways and Pharmaceutical Interventions","authors":"Shangwei Sun, Yunwei Sun, Ling Lan, Siyuan Luan, Jin Zhou, Jiehui Deng, Yong Yuan, Zhong Wu","doi":"10.1002/mco2.70541","DOIUrl":"10.1002/mco2.70541","url":null,"abstract":"<p>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.</p>","PeriodicalId":94133,"journal":{"name":"MedComm","volume":"6 12","pages":""},"PeriodicalIF":10.7,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12710448/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145783558","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}
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.
{"title":"A Pseudovirus-Based Method for the Simultaneous Quantitation of Neutralization Antibodies Against All Three Poliovirus Serotypes","authors":"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","doi":"10.1002/mco2.70551","DOIUrl":"10.1002/mco2.70551","url":null,"abstract":"<p>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 TCID<sub>50</sub>/mL of pseudovirus. It demonstrated high sensitivity, strong serotype specificity, and excellent reproducibility. Furthermore, the PBNA and cNT exhibited excellent congruency (<i>r</i> > 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.</p>","PeriodicalId":94133,"journal":{"name":"MedComm","volume":"6 12","pages":""},"PeriodicalIF":10.7,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12710070/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145784224","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}