Pub Date : 2025-10-28DOI: 10.1016/j.bmt.2025.100115
Shengwen Cheng , Jiaying Wei , Senrui Liu , Junyan Liu , Xiaohong Luo , Yixuan Lan , Mingfei Dong , Liangbin Zhou , Wei Huang , Chen Zhao , Yiting Lei
Coaxial three-dimensional (3D) printing enables precise, multi-material deposition, demonstrating strong potential across diverse fields, including industrial monitoring, health sensing, artificial intelligence (AI) hardware, and food packaging. Its core value is prominently realized in the biomedical domain, where it has revolutionized tissue engineering. The present review consolidates advancements in 3D coaxial bioprinting across diverse biomedical applications, focusing on its transformative potential in vascularized tissue engineering, spatiotemporal drug delivery, and patient-specific disease modeling. This review also explored unresolved challenges, such as bioink optimization and functional vascularization, while proposing integrative solutions that combine coaxial printing with AI and hybrid fabrication strategies. The versatility of coaxial 3D printing is evident in its numerous biomedical applications, such as cardiovascular tissue engineering, skin regeneration, bone repair, and functional muscle constructs. In bone tissue engineering, coaxial printing facilitates vascularization and osteochondral regeneration through spatially controlled bioink and scaffold design. Applications extend to cartilage repair, neuromuscular junction modeling, and tumor microenvironment replication. Despite progress, challenges persist in optimizing bioink rheology, achieving functional vascularization, and scaling production for clinical application. Notably, the integration of advanced materials, such as hydrogels and inorganic salts, with hybrid strategies, including electrospinning and sacrificial printing, highlights the synergistic potential of coaxial bioprinting to transform regenerative medicine, drug screening, and personalized therapies. Ongoing innovations in multi-scale, multi-cellular printing can bridge the gap between engineered constructs and biological functional tissues.
{"title":"Precision and customization in regenerative medicine: The role of coaxial 3D printing","authors":"Shengwen Cheng , Jiaying Wei , Senrui Liu , Junyan Liu , Xiaohong Luo , Yixuan Lan , Mingfei Dong , Liangbin Zhou , Wei Huang , Chen Zhao , Yiting Lei","doi":"10.1016/j.bmt.2025.100115","DOIUrl":"10.1016/j.bmt.2025.100115","url":null,"abstract":"<div><div>Coaxial three-dimensional (3D) printing enables precise, multi-material deposition, demonstrating strong potential across diverse fields, including industrial monitoring, health sensing, artificial intelligence (AI) hardware, and food packaging. Its core value is prominently realized in the biomedical domain, where it has revolutionized tissue engineering. The present review consolidates advancements in 3D coaxial bioprinting across diverse biomedical applications, focusing on its transformative potential in vascularized tissue engineering, spatiotemporal drug delivery, and patient-specific disease modeling. This review also explored unresolved challenges, such as bioink optimization and functional vascularization, while proposing integrative solutions that combine coaxial printing with AI and hybrid fabrication strategies. The versatility of coaxial 3D printing is evident in its numerous biomedical applications, such as cardiovascular tissue engineering, skin regeneration, bone repair, and functional muscle constructs. In bone tissue engineering, coaxial printing facilitates vascularization and osteochondral regeneration through spatially controlled bioink and scaffold design. Applications extend to cartilage repair, neuromuscular junction modeling, and tumor microenvironment replication. Despite progress, challenges persist in optimizing bioink rheology, achieving functional vascularization, and scaling production for clinical application. Notably, the integration of advanced materials, such as hydrogels and inorganic salts, with hybrid strategies, including electrospinning and sacrificial printing, highlights the synergistic potential of coaxial bioprinting to transform regenerative medicine, drug screening, and personalized therapies. Ongoing innovations in multi-scale, multi-cellular printing can bridge the gap between engineered constructs and biological functional tissues.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"12 ","pages":"Article 100115"},"PeriodicalIF":0.0,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145424719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-27DOI: 10.1016/j.bmt.2025.100114
Qing Wang , Shiyi Zuo , Xixuan Yang , Yaqi Li , Cuiyun Liu , Yaqiao Li , Shuo Wang , Wenjing Wang , Danping Wang , Jiayu Guo , Jin Sun , Zhonggui He , Zhenbao Li , Bingjun Sun
The clinical efficacy of Irinotecan is constrained by individual variability in its enzymatic conversion to the active metabolite, SN38. While direct administration of SN38 bypasses this enzymatic process and demonstrates potent anti-tumor activity, its clinical application remains hindered by poor physicochemical properties and off-target toxicity. These challenges highlight the necessity for efficient drug delivery strategies. Prodrug nanoassemblies combine the advantages of nano drug delivery technology and prodrug strategy, offering an effective approach to address these limitations. The modification module in prodrug design plays a critical role in imparting prodrugs self-assembly ability. Monomethyl branched-chain fatty acids (mmBCFAs), known for their biocompatibility and metabolite safety, show great potential as a worthy option. In this study, we designed and synthesized SN38-SS-BAc18 by incorporating 16-methylheptanoic acid (BAc18) as the modification module, and a disulfide bond as the responsive module for tumor-specific activation. The resulting SN38-SS-BAc18 significantly improved the undesirable physicochemical properties of SN38 and exhibited enhanced self-assembly performance. Due to its prolonged circulation time, high tumor accumulation, and specific release profiles, the prodrug nanoassemblies (SN38-SS-BAc18 NPs) exhibited superior anti-tumor efficacy and biosafety. This study addressed multiple therapeutic limitations of SN38 and Irinotecan, providing valuable insights for the rational design of efficient prodrug nanoassemblies for colorectal cancer treatment.
伊立替康的临床疗效受到其酶转化为活性代谢物SN38的个体差异的限制。虽然直接给药SN38可以绕过这一酶促过程并显示出强大的抗肿瘤活性,但其物理化学性质差和脱靶毒性仍阻碍了其临床应用。这些挑战突出了制定有效给药战略的必要性。前体药物纳米组件结合了纳米药物传递技术和前体药物策略的优点,为解决这些局限性提供了有效的途径。前体药物设计中的修饰模块对赋予前体药物自组装能力起着至关重要的作用。单甲支链脂肪酸(mmBCFAs)以其生物相容性和代谢安全性而闻名,显示出作为一种有价值的选择的巨大潜力。本研究以16-甲基庚酸(BAc18)为修饰模块,以二硫键为肿瘤特异性激活响应模块,设计合成了SN38-SS-BAc18。所得SN38- ss - bac18显著改善了SN38的理化性质,并表现出增强的自组装性能。SN38-SS-BAc18纳米组件具有循环时间长、肿瘤蓄积大、释放特异性强等特点,具有良好的抗肿瘤疗效和生物安全性。本研究解决了SN38和伊立替康的多重治疗局限性,为合理设计有效的结直肠癌治疗前药纳米组件提供了有价值的见解。
{"title":"Prodrug nanoassembly technology for colorectal cancer therapy","authors":"Qing Wang , Shiyi Zuo , Xixuan Yang , Yaqi Li , Cuiyun Liu , Yaqiao Li , Shuo Wang , Wenjing Wang , Danping Wang , Jiayu Guo , Jin Sun , Zhonggui He , Zhenbao Li , Bingjun Sun","doi":"10.1016/j.bmt.2025.100114","DOIUrl":"10.1016/j.bmt.2025.100114","url":null,"abstract":"<div><div>The clinical efficacy of Irinotecan is constrained by individual variability in its enzymatic conversion to the active metabolite, SN38. While direct administration of SN38 bypasses this enzymatic process and demonstrates potent anti-tumor activity, its clinical application remains hindered by poor physicochemical properties and off-target toxicity. These challenges highlight the necessity for efficient drug delivery strategies. Prodrug nanoassemblies combine the advantages of nano drug delivery technology and prodrug strategy, offering an effective approach to address these limitations. The modification module in prodrug design plays a critical role in imparting prodrugs self-assembly ability. Monomethyl branched-chain fatty acids (mmBCFAs), known for their biocompatibility and metabolite safety, show great potential as a worthy option. In this study, we designed and synthesized SN38-SS-BAc<sub>18</sub> by incorporating 16-methylheptanoic acid (BAc<sub>18</sub>) as the modification module, and a disulfide bond as the responsive module for tumor-specific activation. The resulting SN38-SS-BAc<sub>18</sub> significantly improved the undesirable physicochemical properties of SN38 and exhibited enhanced self-assembly performance. Due to its prolonged circulation time, high tumor accumulation, and specific release profiles, the prodrug nanoassemblies (SN38-SS-BAc<sub>18</sub> NPs) exhibited superior anti-tumor efficacy and biosafety. This study addressed multiple therapeutic limitations of SN38 and Irinotecan, providing valuable insights for the rational design of efficient prodrug nanoassemblies for colorectal cancer treatment.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"12 ","pages":"Article 100114"},"PeriodicalIF":0.0,"publicationDate":"2025-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145424718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-27DOI: 10.1016/j.bmt.2025.100112
Jing Chen , Xu Zhu , Jun Huo , Shang Wu , Ting Zhou , Chunyu Cheng , Hao Dong , Yan Li , Xianchi Dong , Yuxin Chen
CD4+ T cells play a pivotal role in adaptive immunity, recognizing peptide antigens presented by MHC II molecules during infections and tumor development. Identifying immunodominant MHC II epitopess is essential for understanding CD4+ T cell responses; however, current methods such as mass spectrometry, suffer from low sensitivity and throughput, while computational algorithms show variable accuracy. To overcome these challenges, we developed EliteMHCII, a high-throughput immunopeptidome profiling platform that identifies antigen-derived MHC II epitopes and measures peptide binding affinity across 24 globally common MHC II alleles. Using EliteMHCII, we assessed the immunodominant epitopes of the SARS-CoV-2 RBD protein. Validation in vaccinated individuals and humanized mouse models revealed a strong correlation between high-affinity peptides and robust CD4+ T cell responses, while low-affinity peptides failed to elicit responses. Therefore, our immunopeptidome profiling platform, EliteMHCII, serves as a rapid, high throughput, feasible platform for CD4+ T cell epitope discovery at a global populational level in the context of infectious diseases and cancer immunotherapy.
{"title":"A high-throughput immunopeptidome platform for MHC II alleles to characterize antigen-specific CD4+ T cells","authors":"Jing Chen , Xu Zhu , Jun Huo , Shang Wu , Ting Zhou , Chunyu Cheng , Hao Dong , Yan Li , Xianchi Dong , Yuxin Chen","doi":"10.1016/j.bmt.2025.100112","DOIUrl":"10.1016/j.bmt.2025.100112","url":null,"abstract":"<div><div>CD4<sup>+</sup> T cells play a pivotal role in adaptive immunity, recognizing peptide antigens presented by MHC II molecules during infections and tumor development. Identifying immunodominant MHC II epitopess is essential for understanding CD4<sup>+</sup> T cell responses; however, current methods such as mass spectrometry, suffer from low sensitivity and throughput, while computational algorithms show variable accuracy. To overcome these challenges, we developed EliteMHCII, a high-throughput immunopeptidome profiling platform that identifies antigen-derived MHC II epitopes and measures peptide binding affinity across 24 globally common MHC II alleles. Using EliteMHCII, we assessed the immunodominant epitopes of the SARS-CoV-2 RBD protein. Validation in vaccinated individuals and humanized mouse models revealed a strong correlation between high-affinity peptides and robust CD4<sup>+</sup> T cell responses, while low-affinity peptides failed to elicit responses. Therefore, our immunopeptidome profiling platform, EliteMHCII, serves as a rapid, high throughput, feasible platform for CD4<sup>+</sup> T cell epitope discovery at a global populational level in the context of infectious diseases and cancer immunotherapy.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"12 ","pages":"Article 100112"},"PeriodicalIF":0.0,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The emergence of cultivated meat has attracted much attention as a revolutionary product for meat. Biomaterial scaffolds are the key component and have been extensively studied in cultivated meat production, enabling cell adhesion, proliferation, and directed differentiation. However, the structural and mechanical biomimicry of edible scaffolds is hard to be achieved, hindering the large-scale production of cultivated meats. In this paper, we comprehensively summarize the construction of cultivated meat from cell-laden biomimetic scaffolds and its future research directions. We describe the cellular components of cultivated meat composition and their culture medium components. To tailor more edible scaffolds for high-efficient production of cultivated meats, advanced techniques including 3D bioprinting, electrostatic spinning, and tissue molding techniques have been developed. We then discuss recent research advances in scaffolding materials that maintain the three-dimensional (3D) morphology of cultivated meats and bioreactors. Next, we discussed the conditions and problems that should be solved for the industrial production of cultivated meat. Finally, we outline current challenges in the development of cultivated meat and a prospective outlook for the future of cultivated meat. We anticipate that the continued development of cultivated meat will lead to significant advances in the food and medical fields.
{"title":"Engineering biomimetic scaffolds for cultivated meats","authors":"Lanlan Zhang , Yixuan Shang , Jingjing Gan , Zhuhao Wu , Yuanjin Zhao","doi":"10.1016/j.bmt.2025.100113","DOIUrl":"10.1016/j.bmt.2025.100113","url":null,"abstract":"<div><div>The emergence of cultivated meat has attracted much attention as a revolutionary product for meat. Biomaterial scaffolds are the key component and have been extensively studied in cultivated meat production, enabling cell adhesion, proliferation, and directed differentiation. However, the structural and mechanical biomimicry of edible scaffolds is hard to be achieved, hindering the large-scale production of cultivated meats. In this paper, we comprehensively summarize the construction of cultivated meat from cell-laden biomimetic scaffolds and its future research directions. We describe the cellular components of cultivated meat composition and their culture medium components. To tailor more edible scaffolds for high-efficient production of cultivated meats, advanced techniques including 3D bioprinting, electrostatic spinning, and tissue molding techniques have been developed. We then discuss recent research advances in scaffolding materials that maintain the three-dimensional (3D) morphology of cultivated meats and bioreactors. Next, we discussed the conditions and problems that should be solved for the industrial production of cultivated meat. Finally, we outline current challenges in the development of cultivated meat and a prospective outlook for the future of cultivated meat. We anticipate that the continued development of cultivated meat will lead to significant advances in the food and medical fields.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"12 ","pages":"Article 100113"},"PeriodicalIF":0.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-09DOI: 10.1016/j.bmt.2025.100102
Rong Lu , Kaibo Tang , Run Pan , Shangxuan Shi , Xiao'ao Xue , Tingfang Hwang , Yang Song , Weijun Tang , Yue Yu , He Wang , Yao Lu , Ting Lin
Background
Osteoarthritis (OA) is a degenerative joint disorder influenced by genetic, molecular, and environmental factors. Programmed cell death (PCD) pathways, including apoptosis, pyroptosis, necroptosis, ferroptosis, and autophagy, are linked to cartilage degradation, but their role in OA pathogenesis remains unclear.
Methods
Based on a large-scale GWAS database, this study employs a two-sample Mendelian randomization (MR) framework, integrating genomic data from 14 genes related to PCD at three levels (DNA methylation, gene expression, and protein abundance) to reveal causal relationships between these genes and OA. The MR analysis utilizes QTLs (mQTL, eQTL, and pQTL) as instrumental variables and employs five regression models (MR-Egger regression, Random-Effects Inverse Variance Weighted, Weighted Median, Weighted Mode, and Simple Mode) to assess causal effects. Furthermore, the reliability of causal inference is strengthened through FDR multiple testing correction, Steiger test, and colocalization analysis. Multi-omics evidence is integrated to identify key PCD genes causally related to OA. Finally, enrichment analysis, PPI analysis, and OA-related transcriptome analysis are used to explore the biological mechanisms of these key PCD genes.
Findings
Through MR analysis, we ultimately identified 103 PCD-related CpG sites, 170 PCD-related gene expressions, and 53 PCD-related protein levels that have significant causal relationships with OA. Multi-omics integration pinpointed 2 Tier 1 genes (CASP10, CASP3) and 14 Tier 2 genes (e.g., FGR, GAPDH). Validation across three cohorts confirmed causal associations for CASP10, GAPDH, PARK7, and others. Enrichment analysis implicated these genes in critical biological processes, such as neuronal apoptosis, protease binding, and the MAPK signaling pathway. Protein-protein interaction (PPI) network analysis identified CASP3 (Degree = 9) and CASP10 (Degree = 4) as central hubs, suggesting they may play a central role in the pathophysiological mechanisms of OA and could serve as potential therapeutic targets for OA. Transcriptome analysis confirmed MR findings. Tier 1 gene CASP3 was significantly upregulated in OA patients (log2FC = 1.30, adjusted P < 0.05), and CASP10 showed non-significant upregulation. Tier 2 genes (GAPDH, CD14, CHMP2B, GM2A, ITGAM) also showed significant changes (P < 0.05) consistent with MR results.
Interpretation
This study provides a multi-omic framework for understanding the role of PCD in OA, providing insights into potential PCD-targeted therapies.
{"title":"The biological association between programmed cell death function and osteoarthritis using multi-omic Mendelian Randomization","authors":"Rong Lu , Kaibo Tang , Run Pan , Shangxuan Shi , Xiao'ao Xue , Tingfang Hwang , Yang Song , Weijun Tang , Yue Yu , He Wang , Yao Lu , Ting Lin","doi":"10.1016/j.bmt.2025.100102","DOIUrl":"10.1016/j.bmt.2025.100102","url":null,"abstract":"<div><h3>Background</h3><div>Osteoarthritis (OA) is a degenerative joint disorder influenced by genetic, molecular, and environmental factors. Programmed cell death (PCD) pathways, including apoptosis, pyroptosis, necroptosis, ferroptosis, and autophagy, are linked to cartilage degradation, but their role in OA pathogenesis remains unclear.</div></div><div><h3>Methods</h3><div>Based on a large-scale GWAS database, this study employs a two-sample Mendelian randomization (MR) framework, integrating genomic data from 14 genes related to PCD at three levels (DNA methylation, gene expression, and protein abundance) to reveal causal relationships between these genes and OA. The MR analysis utilizes QTLs (mQTL, eQTL, and pQTL) as instrumental variables and employs five regression models (MR-Egger regression, Random-Effects Inverse Variance Weighted, Weighted Median, Weighted Mode, and Simple Mode) to assess causal effects. Furthermore, the reliability of causal inference is strengthened through FDR multiple testing correction, Steiger test, and colocalization analysis. Multi-omics evidence is integrated to identify key PCD genes causally related to OA. Finally, enrichment analysis, PPI analysis, and OA-related transcriptome analysis are used to explore the biological mechanisms of these key PCD genes.</div></div><div><h3>Findings</h3><div>Through MR analysis, we ultimately identified 103 PCD-related CpG sites, 170 PCD-related gene expressions, and 53 PCD-related protein levels that have significant causal relationships with OA. Multi-omics integration pinpointed 2 Tier 1 genes (<em>CASP10</em>, <em>CASP3</em>) and 14 Tier 2 genes (e.g., <em>FGR</em>, <em>GAPDH</em>). Validation across three cohorts confirmed causal associations for <em>CASP10</em>, <em>GAPDH</em>, <em>PARK7</em>, and others. Enrichment analysis implicated these genes in critical biological processes, such as neuronal apoptosis, protease binding, and the MAPK signaling pathway. Protein-protein interaction (PPI) network analysis identified CASP3 (Degree = 9) and CASP10 (Degree = 4) as central hubs, suggesting they may play a central role in the pathophysiological mechanisms of OA and could serve as potential therapeutic targets for OA. Transcriptome analysis confirmed MR findings. Tier 1 gene <em>CASP3</em> was significantly upregulated in OA patients (log2FC = 1.30, adjusted <em>P</em> < 0.05), and <em>CASP10</em> showed non-significant upregulation. Tier 2 genes (<em>GAPDH</em>, <em>CD14</em>, <em>CHMP2B</em>, <em>GM2A</em>, <em>ITGAM</em>) also showed significant changes (<em>P</em> < 0.05) consistent with MR results.</div></div><div><h3>Interpretation</h3><div>This study provides a multi-omic framework for understanding the role of PCD in OA, providing insights into potential PCD-targeted therapies.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"12 ","pages":"Article 100102"},"PeriodicalIF":0.0,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.1016/j.bmt.2025.100101
Hongyi Chen , Rui Cheng , Se Hun Chung , Arsalan Marghoub , Hui Zhong , Guohao Fang , Stavroula Balabani , Lucy Di-Silvio , Jie Huang
Direct ink writing (DIW) is a room-temperature extrusion-based 3D printing technique that enables the fabrication of dense, customizable implants from viscous inks with precise spatial control. In this study, we present an engineering design framework for DIW-printed PCL/Laponite composites by tuning ink formulations and printing orientations to systematically investigate and control the complex interplay between shape fidelity, mechanical performance, and cellular response. Our findings show that printing at 0° orientation enhances filament-aligned surface topographies, which guide osteoblast attachment and significantly promote cell proliferation and mineralization. In contrast to previous studies using fused deposition modeling (FDM), we observe that printing at 90° orientation (perpendicular to the tensile load direction) results in higher mechanical performance due to improved filament bonding. Increasing Laponite loading (up to 30 %) improves shape retention by increasing ink viscosity, raises Young's modulus by up to 110 %, and enhances surface bioactivity by introducing hydrophilic and bioactive cues. This study provides a tunable strategy for engineering bioactive and surface-active implants for the clinical need for non-load-bearing orthopaedic applications where structural integrity, surface-mediated osteointegration, and customized geometry are clinically essential.
{"title":"Direct ink writing of bioactive PCL/laponite bone Implants: Engineering the interplay of design, process, structure, and function","authors":"Hongyi Chen , Rui Cheng , Se Hun Chung , Arsalan Marghoub , Hui Zhong , Guohao Fang , Stavroula Balabani , Lucy Di-Silvio , Jie Huang","doi":"10.1016/j.bmt.2025.100101","DOIUrl":"10.1016/j.bmt.2025.100101","url":null,"abstract":"<div><div>Direct ink writing (DIW) is a room-temperature extrusion-based 3D printing technique that enables the fabrication of dense, customizable implants from viscous inks with precise spatial control. In this study, we present an engineering design framework for DIW-printed PCL/Laponite composites by tuning ink formulations and printing orientations to systematically investigate and control the complex interplay between shape fidelity, mechanical performance, and cellular response. Our findings show that printing at 0° orientation enhances filament-aligned surface topographies, which guide osteoblast attachment and significantly promote cell proliferation and mineralization. In contrast to previous studies using fused deposition modeling (FDM), we observe that printing at 90° orientation (perpendicular to the tensile load direction) results in higher mechanical performance due to improved filament bonding. Increasing Laponite loading (up to 30 %) improves shape retention by increasing ink viscosity, raises Young's modulus by up to 110 %, and enhances surface bioactivity by introducing hydrophilic and bioactive cues. This study provides a tunable strategy for engineering bioactive and surface-active implants for the clinical need for non-load-bearing orthopaedic applications where structural integrity, surface-mediated osteointegration, and customized geometry are clinically essential.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"11 ","pages":"Article 100101"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144925658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cervical cancer is one of the leading causes of cancer-related deaths among women worldwide, imposing a particularly heavy burden in low- and middle-income countries. In recent years, advanced artificial intelligence (AI)-based technologies, including convolutional neural networks (CNNs) for image analysis and natural language processing (NLP) of electronic health records (EHRs), have substantially improved detection performance, individualized risk prediction, and the design of tailored treatment regimens. By leveraging expert visual recognition and synthesizing multimodal clinical data, these approaches offer the potential for more accurate screening and faster diagnosis. However, routine adoption hinges on resolving issues of data heterogeneity, algorithm interpretability, and ethical deployment. In this review, we summarize the latest AI breakthroughs in cervical cancer management, emphasize their promise for enhancing early intervention and personalized therapy, and call for rigorous validation to ensure safe, equitable integration into practice.
{"title":"Advanced AI-based technologies for early detection and personalized management of cervical cancer","authors":"Yuheng Zhang , Yazhang Xu , Chenxin Wang , Zengjie Zhang , Kailiang Zhou , Yueliang Zhu , Xiaohua Yu","doi":"10.1016/j.bmt.2025.100100","DOIUrl":"10.1016/j.bmt.2025.100100","url":null,"abstract":"<div><div>Cervical cancer is one of the leading causes of cancer-related deaths among women worldwide, imposing a particularly heavy burden in low- and middle-income countries. In recent years, advanced artificial intelligence (AI)-based technologies, including convolutional neural networks (CNNs) for image analysis and natural language processing (NLP) of electronic health records (EHRs), have substantially improved detection performance, individualized risk prediction, and the design of tailored treatment regimens. By leveraging expert visual recognition and synthesizing multimodal clinical data, these approaches offer the potential for more accurate screening and faster diagnosis. However, routine adoption hinges on resolving issues of data heterogeneity, algorithm interpretability, and ethical deployment. In this review, we summarize the latest AI breakthroughs in cervical cancer management, emphasize their promise for enhancing early intervention and personalized therapy, and call for rigorous validation to ensure safe, equitable integration into practice.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"11 ","pages":"Article 100100"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144923027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-31DOI: 10.1016/j.bmt.2025.100098
Yi Wu , Zhipeng Zhao , Shouchang Jiao , Tianhang Song , Cong Du , Binbin Fan , Yaokun Pang , Hua Yuan , Hanlin Ou
Organic room temperature phosphorescent (RTP) materials, characterized by their prolonged luminescence lifetime and superior biocompatibility, exhibit significant potential for applications in bioimaging. Through the application of time resolved techniques, the interference caused by tissue autofluorescence can be substantially minimized, enabling high signal-to-background ratio imaging. Furthermore, these materials serve as promising candidates for temperature sensing probes and photodynamic therapy agents. Although research on RTP materials has expanded rapidly in recent years, a comprehensive review covering organometallic and pure organic phosphorescent materials for bioimaging remains limited. This paper systematically summarizes recent advancements in both organometallic and pure organic phosphorescent materials used in bioimaging and critically discusses the challenges they encounter, aiming to provide valuable insights for future developments in this field.
{"title":"Recent advances in organic phosphorescent materials for bioimaging","authors":"Yi Wu , Zhipeng Zhao , Shouchang Jiao , Tianhang Song , Cong Du , Binbin Fan , Yaokun Pang , Hua Yuan , Hanlin Ou","doi":"10.1016/j.bmt.2025.100098","DOIUrl":"10.1016/j.bmt.2025.100098","url":null,"abstract":"<div><div>Organic room temperature phosphorescent (RTP) materials, characterized by their prolonged luminescence lifetime and superior biocompatibility, exhibit significant potential for applications in bioimaging. Through the application of time resolved techniques, the interference caused by tissue autofluorescence can be substantially minimized, enabling high signal-to-background ratio imaging. Furthermore, these materials serve as promising candidates for temperature sensing probes and photodynamic therapy agents. Although research on RTP materials has expanded rapidly in recent years, a comprehensive review covering organometallic and pure organic phosphorescent materials for bioimaging remains limited. This paper systematically summarizes recent advancements in both organometallic and pure organic phosphorescent materials used in bioimaging and critically discusses the challenges they encounter, aiming to provide valuable insights for future developments in this field.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"11 ","pages":"Article 100098"},"PeriodicalIF":0.0,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144737998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-24DOI: 10.1016/j.bmt.2025.100088
Shuxin Zhong , Dingrui Nie , Xueting Peng , Kangjie Qiu , Jinyi Liu , Zhangshuai Dai , Xianfeng Zha , Songnan Sui , Weini Li , Weizhang Wang , Cunte Chen , Yangqiu Li , Chengwu Zeng
BCR-ABL positive (BCR-ABL+) leukemia is driven by constitutive activation of tyrosine kinase activity, with tyrosine kinase inhibitors (TKIs) serving as the standard treatment. However, resistance to TKIs remains a significant clinical challenge. In this study, we demonstrate that HSPA8 is highly expressed in BCR-ABL+ leukemia cells, and elevated HSPA8 expression correlates with poor prognosis in BCR-ABL+ B-acute lymphoblastic leukemia (B-ALL). Inhibition of HSPA8 using Apoptozole (Az) or VER15508 (VER) reduced the viability of BCR-ABL+ leukemia cells, induced cell death, and suppressed colony formation. Through proteomic analysis, we identified GPX4, a key regulator of ferroptosis, as a major target of HSPA8 inhibition. Notably, co-treatment with HSPA8 inhibitors and GPX4 inhibitors (RSL3), or TKIs, synergistically downregulated GPX4 expression and induced ferroptosis in BCR-ABL+ leukemia cells, including those resistant to TKIs. In vivo, combination therapy with Az and RSL3 significantly prolonged survival in a BCR-ABL+ leukemia mouse model. Overall, our findings provide compelling evidence that targeting HSPA8, in combination with GPX4 inhibition or TKIs, can effectively induce ferroptosis, overcome drug resistance, and offer a novel therapeutic strategy for these malignancies.
BCR-ABL阳性(BCR-ABL+)白血病是由酪氨酸激酶活性的组成性激活驱动的,酪氨酸激酶抑制剂(TKIs)作为标准治疗。然而,对TKIs的耐药性仍然是一个重大的临床挑战。在本研究中,我们证实HSPA8在BCR-ABL+白血病细胞中高表达,并且HSPA8表达升高与BCR-ABL+ b -急性淋巴细胞白血病(B-ALL)的预后不良相关。凋亡唑(Az)或VER15508 (VER)抑制HSPA8降低BCR-ABL+白血病细胞的活力,诱导细胞死亡,抑制集落形成。通过蛋白质组学分析,我们确定了铁ptosis的关键调节因子GPX4是HSPA8抑制的主要靶点。值得注意的是,与HSPA8抑制剂和GPX4抑制剂(RSL3)或TKIs共同治疗,协同下调GPX4表达并诱导BCR-ABL+白血病细胞(包括对TKIs耐药的细胞)铁下垂。在体内,Az和RSL3联合治疗可显著延长BCR-ABL+白血病小鼠模型的生存期。总之,我们的研究结果提供了令人信服的证据,表明靶向HSPA8,结合GPX4抑制或TKIs,可以有效地诱导铁下垂,克服耐药性,并为这些恶性肿瘤提供了一种新的治疗策略。
{"title":"Targeting HSPA8 to repress GPX4 and induce ferroptosis in BCR-ABL positive leukemia","authors":"Shuxin Zhong , Dingrui Nie , Xueting Peng , Kangjie Qiu , Jinyi Liu , Zhangshuai Dai , Xianfeng Zha , Songnan Sui , Weini Li , Weizhang Wang , Cunte Chen , Yangqiu Li , Chengwu Zeng","doi":"10.1016/j.bmt.2025.100088","DOIUrl":"10.1016/j.bmt.2025.100088","url":null,"abstract":"<div><div>BCR-ABL positive (BCR-ABL+) leukemia is driven by constitutive activation of tyrosine kinase activity, with tyrosine kinase inhibitors (TKIs) serving as the standard treatment. However, resistance to TKIs remains a significant clinical challenge. In this study, we demonstrate that HSPA8 is highly expressed in BCR-ABL+ leukemia cells, and elevated HSPA8 expression correlates with poor prognosis in BCR-ABL+ B-acute lymphoblastic leukemia (B-ALL). Inhibition of HSPA8 using Apoptozole (Az) or VER15508 (VER) reduced the viability of BCR-ABL+ leukemia cells, induced cell death, and suppressed colony formation. Through proteomic analysis, we identified GPX4, a key regulator of ferroptosis, as a major target of HSPA8 inhibition. Notably, co-treatment with HSPA8 inhibitors and GPX4 inhibitors (RSL3), or TKIs, synergistically downregulated GPX4 expression and induced ferroptosis in BCR-ABL+ leukemia cells, including those resistant to TKIs. In vivo, combination therapy with Az and RSL3 significantly prolonged survival in a BCR-ABL+ leukemia mouse model. Overall, our findings provide compelling evidence that targeting HSPA8, in combination with GPX4 inhibition or TKIs, can effectively induce ferroptosis, overcome drug resistance, and offer a novel therapeutic strategy for these malignancies.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"11 ","pages":"Article 100088"},"PeriodicalIF":0.0,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144366577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neurodegenerative diseases including Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and amyotrophic lateral sclerosis (ALS) remain a major global health challenge due to their progressive nature and lack of curative treatments. Traditional animal models and 2D cell cultures fail to recapitulate the complex microenvironment and human-specific pathophysiology of these disorders. In response, advanced 3D in vitro models incorporating functional biomaterials have emerged as promising platforms for replicating disease mechanisms, enabling personalized medicine, and accelerating therapeutic discovery. This review highlights recent progress in the design and application of bioinspired and engineered biomaterials, including natural, synthetic, and hybrid scaffolds, which mimic the extracellular matrix and guide neural cell behavior. Hydrogels, stimuli-responsive polymers, and conductive nanocomposites are increasingly used in scaffold fabrication and 3D bioprinting. Integration with patient-derived induced pluripotent stem cells (iPSCs) and microfluidic platforms enables the creation of physiologically relevant models that replicate key pathological features. We discuss the importance of quantitative materials characterization including porosity, stiffness, swelling, degradation, and wettability in ensuring scaffold reproducibility and translational relevance. Despite challenges like vascularization and culture stability, innovations are addressing these barriers. Advanced biomaterials enable precise cell placement and structure. High-precision bioprinting and microfluidics support perfusable vessels. AI-driven data integration enhances scalability, optimizes conditions, analyzes large datasets, and improves reproducibility by minimizing batch variability in 3D in vitro models. Recent advances in bioelectric and electrochemical biomaterials including piezoelectric PLLA membranes, wirelessly self-powered Zn/Ag2O scaffolds, 3D-printed carbon nanoelectrodes, and conductive POSS-PCL/graphene nanocomposites offer promising multifunctional platforms for 3D neurodegenerative disease models.
{"title":"Advanced 3D biomaterials and bioprinting strategies for in vitro modeling of neurodegenerative diseases","authors":"Meenaloshini Gopalakrishnan , Deepshikaa Kannan , Karthikeyan Elumalai , Karthik Karunakar , Sujaritha Jayaraj , Mahalakshmi Devaraji , Nandhini Jayaprakash","doi":"10.1016/j.bmt.2025.100089","DOIUrl":"10.1016/j.bmt.2025.100089","url":null,"abstract":"<div><div>Neurodegenerative diseases including Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and amyotrophic lateral sclerosis (ALS) remain a major global health challenge due to their progressive nature and lack of curative treatments. Traditional animal models and 2D cell cultures fail to recapitulate the complex microenvironment and human-specific pathophysiology of these disorders. In response, advanced 3D in vitro models incorporating functional biomaterials have emerged as promising platforms for replicating disease mechanisms, enabling personalized medicine, and accelerating therapeutic discovery. This review highlights recent progress in the design and application of bioinspired and engineered biomaterials, including natural, synthetic, and hybrid scaffolds, which mimic the extracellular matrix and guide neural cell behavior. Hydrogels, stimuli-responsive polymers, and conductive nanocomposites are increasingly used in scaffold fabrication and 3D bioprinting. Integration with patient-derived induced pluripotent stem cells (iPSCs) and microfluidic platforms enables the creation of physiologically relevant models that replicate key pathological features. We discuss the importance of quantitative materials characterization including porosity, stiffness, swelling, degradation, and wettability in ensuring scaffold reproducibility and translational relevance. Despite challenges like vascularization and culture stability, innovations are addressing these barriers. Advanced biomaterials enable precise cell placement and structure. High-precision bioprinting and microfluidics support perfusable vessels. AI-driven data integration enhances scalability, optimizes conditions, analyzes large datasets, and improves reproducibility by minimizing batch variability in 3D in vitro models. Recent advances in bioelectric and electrochemical biomaterials including piezoelectric PLLA membranes, wirelessly self-powered Zn/Ag<sub>2</sub>O scaffolds, 3D-printed carbon nanoelectrodes, and conductive POSS-PCL/graphene nanocomposites offer promising multifunctional platforms for 3D neurodegenerative disease models.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"11 ","pages":"Article 100089"},"PeriodicalIF":0.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}