BMEMat最新文献 - Book学术

Multifunctional liposomes remodeling tumor microenvironment for enhancing Hemoporfin‐mediated photodynamic therapy 多功能脂质体重塑肿瘤微环境，增强Hemoporfin介导的光动力治疗

BMEMat Pub Date : 2025-08-19 DOI: 10.1002/bmm2.70028

Ya‐Wen Chen, Chenxi Wang, Jiajia Yin, Xuejiao Song, Xiaochen Dong, Yi Shen, Lothar Lilge, Buhong Li

{"title":"Multifunctional liposomes remodeling tumor microenvironment for enhancing Hemoporfin‐mediated photodynamic therapy","authors":"Ya‐Wen Chen, Chenxi Wang, Jiajia Yin, Xuejiao Song, Xiaochen Dong, Yi Shen, Lothar Lilge, Buhong Li","doi":"10.1002/bmm2.70028","DOIUrl":"https://doi.org/10.1002/bmm2.70028","url":null,"abstract":"Abstract Photodynamic therapy (PDT) utilizes light and photosensitizer (PS) to generate reactive oxygen species (ROS) to kill cancer cells, presenting a promising strategy as an anti‐cancer treatment. However, the low hydrophilicity and poor targeting of currently used PSs, as well as the abnormal tumor microenvironment (TME), limit the clinical application of PDT. Herein, non‐toxic liposomes with the ability to incorporate both hydrophilic and hydrophobic PS are used as the nanocarrier to co‐load Hemoporfin, L‐buthionine sulfoximine (BSO), and catalase (CAT) to obtain BSO/CAT@Liposomes‐Hemoporfin nanoparticles (BCHL NPs), which could be used to remodel the TME and to enhance Hemoporfin‐mediated PDT efficacy. BCHL NPs exhibit a long blood circulation time and can accumulate in the tumor. BSO can reduce the cytosolic concentration of glutathione (GSH), a natural scavenger of ROS. CAT catalyzes the endogenously overexpressed H 2 O 2 in the tumor site into H 2 O and O 2 , thus relieving tumor hypoxia and enhancing ROS generation. Upon irradiation, the synergetic effects of reduced GSH synthesis by BSO and relieved hypoxia by CAT were observed in 4T1 tumor‐bearing mouse model. Compared to the tumor treated by free Hemoporfin, BCHL NPs‐mediated PDT resulted in 1.25‐fold higher inhibition of tumor growth due to the enhanced ROS generation. The present study provides insight into the design of efficient strategies for enhanced clinic Hemoporfin‐mediated PDT efficiency.","PeriodicalId":503415,"journal":{"name":"BMEMat","volume":"3 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/bmm2.70028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147883549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Single‐component cationic polyethylenimine thermogel for sustained and localized gene delivery to combat multi‐drug resistant cancer 单组分阳离子聚乙烯亚胺热凝胶，用于持续和局部基因传递，以对抗多药耐药癌症

BMEMat Pub Date : 2025-06-24 DOI: 10.1002/bmm2.70020

Qianyu Lin, Minting Liu, Lingjie Ke, Nicholas Wei Xun Ong, Joey Hui Min Wong, Cally Owh, Valerie Ow, B S Sim, Yi Jian Boo, Jason Y. C. Lim, Yun‐Long Wu, Xian Jun Loh

{"title":"Single‐component cationic polyethylenimine thermogel for sustained and localized gene delivery to combat multi‐drug resistant cancer","authors":"Qianyu Lin, Minting Liu, Lingjie Ke, Nicholas Wei Xun Ong, Joey Hui Min Wong, Cally Owh, Valerie Ow, B S Sim, Yi Jian Boo, Jason Y. C. Lim, Yun‐Long Wu, Xian Jun Loh","doi":"10.1002/bmm2.70020","DOIUrl":"https://doi.org/10.1002/bmm2.70020","url":null,"abstract":"Abstract Multi‐drug resistant cancer cells with over‐expression of Bcl2 anti‐apoptotic proteins can be effectively killed by transfecting them with Nur77 transcription factor (pNur77). Previous attempts are generally therapeutically unsatisfactory due to low sustained gene expression and are further disadvantaged by their multi‐component designs requiring complicated preparation. Herein, we designed a single cationic amphiphilic copolymer from branched poly(ethylenimine) (PEI‐25k), the gold standard non‐viral vector, that functions simultaneously as the non‐viral vector and hydrogel forming polymeric matrix. Our single‐component hydrogel gene delivery platform is highly facile to prepare as it only requires co‐dissolution of the copolymer with pNur77 to form a homogeneous sol. Due to the high cationic charge density of PEI‐25k, this PEI‐based copolymer effectively complexes a high payload of the plasmid. Subsequently, the copolymer's thermogelling ability enables it to spontaneously self‐assemble into a hydrogel depot by simply being warmed to physiological temperatures upon intra‐tumoral injection. Leveraging upon the high transfection efficiency of PEI‐25k, this PEI‐based thermogel achieved prolonged localized release of pNur77 with high transfection efficiency. This leads to successful tumor size reduction and suppressed tumor reoccurrence in mouse models with low systemic cytotoxicity. We believe this single‐component cationic thermogel non‐viral gene delivery platform is highly attractive for gene therapy.","PeriodicalId":503415,"journal":{"name":"BMEMat","volume":"3 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/bmm2.70020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147877441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The effect of sodium nitroprusside in scaffolds for synergetic gas‐photothermal therapy of osteosarcoma 硝普钠在骨肉瘤气光热协同治疗支架中的作用

BMEMat Pub Date : 2025-04-19 DOI: 10.1002/bmm2.70011

Shaojie Dong, Yuwei Zhang, Yukun Mei, Changjie Sun, Xingge Yu, Mazaher Gholipourmalekabadi, Kaili Lin, Lin Niu, Li Zhao, Changyong Yuan

{"title":"The effect of sodium nitroprusside in scaffolds for synergetic gas‐photothermal therapy of osteosarcoma","authors":"Shaojie Dong, Yuwei Zhang, Yukun Mei, Changjie Sun, Xingge Yu, Mazaher Gholipourmalekabadi, Kaili Lin, Lin Niu, Li Zhao, Changyong Yuan","doi":"10.1002/bmm2.70011","DOIUrl":"https://doi.org/10.1002/bmm2.70011","url":null,"abstract":"Abstract High recurrence rates and critical bone defects after surgical treatment seriously hinder the curing rate of malignant bone tumors. Thus, developing a multifunctional platform to achieve effective tumor elimination and bone regeneration is urgently needed. Recently, gas therapy combined with hyperthermia has shown an intriguing synergetic therapeutic effect on tumor, avoiding limited spot areas, insufficient heat in deep or surrounding regions, and other inherent limitations of photothermal therapy. Therefore, calcium alginate hydrogel was coated on the surface of 3D printing polycaprolactone (PCL) scaffold and loaded with sodium nitroprusside (SNP) to fabricate the PCLA‐SNP composite scaffold. SNP can coordinately react with Fe 3+ to form Prussian blue‐like precipitates after ultraviolet irradiation to reduce the toxicity of SNP metabolites and improve the biocompatibility of materials. Hence, photothermal generated by a near‐infrared laser and controlled release of nitric oxide (NO) were obtained to enhance ablation of bone tumors. Furthermore, the calcium and iron ions released from PCLA‐SNP scaffolds can accelerate bone regeneration. With stable release of NO, efficient photothermal conversion, and promotion of bone regeneration, PCLA‐SNP scaffolds have enlightened an interesting platform for synergistic gas‐photothermal therapy for bone tumors.","PeriodicalId":503415,"journal":{"name":"BMEMat","volume":"3 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/bmm2.70011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147892720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Artificial intelligence‐assisted design, synthesis and analysis of smart biomaterials 人工智能——智能生物材料的辅助设计、合成和分析

BMEMat Pub Date : 2025-03-25 DOI: 10.1002/bmm2.70004

Pengfei Jiang, Yefei Dai, Yujun Hou, Joshua S. Stein, Shichen Steven Lin, C.W. Zhou, Yannan Hou, Rongrong Zhu, Ki‐Bum Lee, Letao Yang

{"title":"Artificial intelligence‐assisted design, synthesis and analysis of smart biomaterials","authors":"Pengfei Jiang, Yefei Dai, Yujun Hou, Joshua S. Stein, Shichen Steven Lin, C.W. Zhou, Yannan Hou, Rongrong Zhu, Ki‐Bum Lee, Letao Yang","doi":"10.1002/bmm2.70004","DOIUrl":"https://doi.org/10.1002/bmm2.70004","url":null,"abstract":"Abstract Smart biomaterials that can self‐adapt or respond to microenvironmental factors or external signals hold excellent potential for a variety of biomedical applications, from biosensing, drug delivery, and cell therapy to tissue engineering. The complexity of smart biomaterials, including the rational design of their structure and composition, the accurate analysis and prediction of their properties, and the automatic and scale‐up synthesis remains a critical challenge but can be addressed by the recent rise of artificial intelligence (AI). To bridge the literature gap, the current mini‐review will introduce the background of why marrying AI with smart biomaterials is essential and how biomaterial scientists can integrate machine learning (ML) and AI for the discovery, design, analysis, and synthesis of smart biomaterials. For this purpose, the basic principles of ML and AI will first be introduced so that biomaterial scientists can use ML and AI as a tool for basic research. Next, representative examples of using AI to high throughput screen and establish big data of structure‐function relationship of smart biomaterials responding to both chemical, biological, and physical signals. Most importantly, the applications of the AI‐designed or AI‐discovered biomaterials will be overviewed, with a focus on the field of tissue engineering. Lastly, new directions, such as robot‐chemists‐assisted fabrication of biomaterials will be highlighted. Taken together, by engaging biomaterial scientists with the most recent updates in AI material science, we expect to observe continuous growth of the field of AI for science and benefit clinical translation of smart biomaterials for treating a variety of diseases.","PeriodicalId":503415,"journal":{"name":"BMEMat","volume":"3 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/bmm2.70004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147919191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 40