Biomedical Technology最新文献

{"title":"Direct ink writing of bioactive PCL/laponite bone Implants: Engineering the interplay of design, process, structure, and function","authors":"Hongyi Chen ,&nbsp;Rui Cheng ,&nbsp;Se Hun Chung ,&nbsp;Arsalan Marghoub ,&nbsp;Hui Zhong ,&nbsp;Guohao Fang ,&nbsp;Stavroula Balabani ,&nbsp;Lucy Di-Silvio ,&nbsp;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}

{"title":"Advanced AI-based technologies for early detection and personalized management of cervical cancer","authors":"Yuheng Zhang ,&nbsp;Yazhang Xu ,&nbsp;Chenxin Wang ,&nbsp;Zengjie Zhang ,&nbsp;Kailiang Zhou ,&nbsp;Yueliang Zhu ,&nbsp;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}

{"title":"Integrated bioinformatics analysis and machine learning approach for the identification of immune-related genes in the diagnosis of aortic valve calcification with periodontitis","authors":"Duolikun Mutailifu,&nbsp;Abudousaimi Aini,&nbsp;Abudunaibi Maimaitiaili","doi":"10.1016/j.bmt.2025.100087","DOIUrl":"10.1016/j.bmt.2025.100087","url":null,"abstract":"<div><h3>Background</h3><div>Aortic valve calcification (AVC) represents a progressive, age-associated disorder characterized by substantial mortality, yet effective early diagnostic markers for AVC complicated by periodontitis, a common inflammatory condition linked to systemic inflammation, remain elusive. Our investigation sought to uncover immune-specific molecular indicators for AVC in patients with periodontitis using bioinformatics and machine learning.</div></div><div><h3>Methods</h3><div>Gene expression data for AVC (utilizing datasets GSE153555, GSE148219, GSE51472) and periodontitis (from dataset GSE16134) underwent analysis. We identified differentially expressed genes (DEGs) and determined the overlapped genes between AVC and periodontitis. The study included functional enrichment, protein-protein interaction (PPI) network construction, and immune infiltration analyses. To screen potential target genes, four machine learning models were developed (SVM, RF, XGB, GLM), with validation performed using an external dataset and clinical specimens via qRT-PCR.</div></div><div><h3>Results</h3><div>A total of 30 intersecting genes between AVC and periodontitis were identified. Four key genes—CXCL12, HCST, ITGA4, and GZMK—were selected through machine learning. The nomogram model combining these genes demonstrated high diagnostic accuracy, with an AUC of 0.985 in the training set and AUC values of 0.8, 0.72, 0.88, and 0.76 for HCST, ITGA4, CXCL12, and GZMK, respectively, in the external validation using the GSE51472 dataset. qRT-PCR validation in clinical samples confirmed that these genes were significantly upregulated in AVC patients with periodontitis. These genes were also correlated with immune cell infiltration, suggesting their potential role in AVC pathogenesis.</div></div><div><h3>Conclusion</h3><div>These findings provide new clinical molecular diagnostics, treatment related molecular markers for AVC in patients with periodontitis and may facilitate further basic research into biological functions.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"10 ","pages":"Article 100087"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144222813","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}

{"title":"Gαi1 activation induced by short-term hypoxia promotes epidermal cell migration in wound healing through the Akt-mTOR pathway","authors":"Jianghe Zhang ,&nbsp;Yan Yan ,&nbsp;Jun Wan ,&nbsp;Yiming Zhang ,&nbsp;Junli Zhou","doi":"10.1016/j.bmt.2025.100072","DOIUrl":"10.1016/j.bmt.2025.100072","url":null,"abstract":"<div><div>Hypoxia is commonly observed in the wound microenvironment; however, the specific mechanism by which it affects epidermal cell migration remains unclear. This study aimed to examine the impact of hypoxia on epidermal cell migration and explore the underlying mechanisms involved. The impact of hypoxia (1 ​% oxygen) on the migration of an immortal keratinocyte cell line, HaCaT, was evaluated using a scratch assay and live cell imaging system. The activation of Gαi1 in HaCaT cells following hypoxia treatment was detected by immunoprecipitation. Possible biological mechanisms were explored through gene microarray assays and bioinformatics methods. Furthermore, the effect of Gαi1 loss-of-function on wound healing was investigated using a rat wound model. Short-term hypoxia significantly enhances HaCaT cell migration and Gαi activation, also observed in rat wound tissue. However, the migration difference between hypoxic and normoxic conditions is negligible after Gαi1 knockdown, highlighting Gαi1's role. Bioinformatics analysis points to the PI3K-Akt pathway as a key mediator, which is confirmed by Akt inhibitor experiments. Additionally, Gαi1 promotes cell migration via the PI3K/Akt/mTORC pathway under hypoxia, and Gαi1 knockdown in rats results in slower wound healing and reduced re-epithelialization. Short-term hypoxia promotes epidermal cell migration through the activation of the Akt-mTOR pathway by Gαi1. Defects in Gαi1 lead to impaired re-epithelialization and delayed wound healing in rats.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"10 ","pages":"Article 100072"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549467","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}

{"title":"A comprehensive review of cancer drug nanoparticles synthesis, processing technology and its effect in drug delivery","authors":"Mujibur Khan ,&nbsp;Jannatul Ferdaus ,&nbsp;Khaleda Akter ,&nbsp;Hossain Ahmed ,&nbsp;Mahrima Parvin ,&nbsp;Sawaiz Kashif ,&nbsp;Ali S. Arbab","doi":"10.1016/j.bmt.2025.100085","DOIUrl":"10.1016/j.bmt.2025.100085","url":null,"abstract":"<div><div>The advent of nanotechnology has significantly advanced cancer treatment by introducing innovative approaches to targeted drug delivery and enhanced therapeutic efficiency. Nano drugs and nanocarriers, owing to their nanoscale dimensions, extensive surface area, and ability to modulate biodistribution, have proven effective in localizing tumor sites and enabling sustained drug release. These properties result in greater cytotoxicity and minimize systemic side effects compared to conventional therapies. Moreover, nanoparticles can be functionalized with molecular targeting agents, such as peptides, and combined with imaging dyes to improve the precision and monitoring of in-vivo treatments. A promising development in this domain is the utilization of biological carriers, particularly exosomes. These extracellular vesicles (30–150 ​nm in size) are secreted by various cells and possess a unique capacity to influence the tumor microenvironment through intercellular interactions and direct fusion with cell membranes. This review examines recent advancements in cancer drug delivery, with an emphasis on the design and processing of nano drugs and evaluates the potential of engineered exosomes as a transformative modality in cancer therapeutics.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"10 ","pages":"Article 100085"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144203765","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}

{"title":"Superparamagnetic hydrogels: Precision-driven platforms for biomedicine, robotics, and environmental remediation","authors":"Huaibin Wang ,&nbsp;Yingying Hou ,&nbsp;Long Chen ,&nbsp;Weihong Mo ,&nbsp;Leyan Xuan ,&nbsp;Jialin Wu ,&nbsp;Jie Wang ,&nbsp;Maobin Xie ,&nbsp;Shufang Wang ,&nbsp;Guosheng Tang","doi":"10.1016/j.bmt.2025.100084","DOIUrl":"10.1016/j.bmt.2025.100084","url":null,"abstract":"<div><div>Hydrogels are widely recognized for their biocompatibility and structural adaptability in regenerative medicine and three-dimensional (3D) bioprinting, yet their inherent static nature fundamentally limits applications demanding dynamic spatiotemporal control. The incorporation of superparamagnetic iron oxide nanoparticles (SPIONs) addresses this issue. The incorporation of SPIONs enables real-time programmable manipulation through magnetic field gradients. This amalgamation not only endows hydrogels with abilities such as magnetic propulsion, positioning, magnetoguidance, movement, and levitation, typical of magnetic materials, but also introduces novel functionalities like responsiveness to thermal effects and enhanced adsorption capabilities. This review delves into the transformative potential unlocked by the integration of SPIONs into hydrogels, showcasing their unique functional enhancements and targeted applications in robotics, precision medicine, and wastewater treatment.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"10 ","pages":"Article 100084"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144203764","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}

{"title":"A noninvasive accelerated quantitative MR technique to distinguish drug resistance in prolactinomas: Early results","authors":"Rong Lu ,&nbsp;Tingfang Hwang ,&nbsp;Kaibo Tang ,&nbsp;Qing Li ,&nbsp;Caixia Fu ,&nbsp;Ying-Hua Chu ,&nbsp;Shangxuan Shi ,&nbsp;Tobias Kober ,&nbsp;Tom Hibert ,&nbsp;Bin Lu ,&nbsp;Yiming Li ,&nbsp;Yao Lu ,&nbsp;Weijun Tang ,&nbsp;Lijin Ji","doi":"10.1016/j.bmt.2025.100086","DOIUrl":"10.1016/j.bmt.2025.100086","url":null,"abstract":"<div><div>Management of dopamine agonist (DA) resistance in prolactinoma (PRLoma) remains challenging due to the lack of detecting approach and reliable imaging marker. In this cross-sectional study, PRLoma patients were recruited prospectively from a single-center outpatient clinic from May 2024 to September 2024. A noninvasive accelerated quantitative MR technique (GRAPPATINI, GeneRalized Autocalibrating Partially Parallel Acquisitions acceleraTed T2 mappINg) was applied to investigate the correlation between quantitative T2 values and DA resistance. The T2 values of tumors with multiple echo times (TEs) and signal intensity (SI) ratios were analyzed. A total of 30 participants were included, of which 20 were DA-sensitive and 10 were DA-resistant. The T2 values were significantly lower in DA-resistant PRLoma than those in DA-sensitive PRLoma (76.85 ​± ​29.84 ​ms vs 135.88 ​± ​69.86 ​ms, <em>P</em> ​= ​0.0048), whereas the T2 SI ratio revealed no significant difference. The area under the curve (AUC) of T2 values and T2 SI ratio for distinguishing DA sensitivity were 0.850 and 0.668, respectively. The ratio distributions at different TEs (TE10 ​ms, TE38 ​ms, TE42 ​ms, TE55 ​ms, and TE90 ​ms) were significantly different at TE38 ​ms (<em>P</em> ​= ​0.026) between two groups. The AUC of T2 values and TEs for DA sensitivity in PRLoma were 0.850 (T2map), 0.680 (TE10 ​ms), 0.730 (TE38 ​ms), 0.690 (TE42 ​ms), 0.520 (TE55 ​ms), and 0.670 (TE90 ​ms), respectively (<em>P</em> ​= ​0.0107). These findings highlight the translational potential of T2 values as a promising imaging biomarker for evaluating DA resistance in PRLoma.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"10 ","pages":"Article 100086"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144203814","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}

{"title":"Progress of metal-organic frameworks in improving the effect of sonodynamic therapy","authors":"Yu Bai ,&nbsp;Jine Wang ,&nbsp;Ruhui Yan ,&nbsp;Yuxian Zhao ,&nbsp;Shuang Han ,&nbsp;Zhichao Zhang ,&nbsp;Yuewu Zhao","doi":"10.1016/j.bmt.2025.100070","DOIUrl":"10.1016/j.bmt.2025.100070","url":null,"abstract":"<div><div>Sonodynamic therapy (SDT) is a new non-invasive and precise tumor treatment method, which is a promising anticancer treatment and is becoming a cutting-edge interdisciplinary research field. Based on the research progress of SDT, this paper reviews the latest situation of metal-organic frameworks (MOF) based sonosensitizer in recent years, and introduces the preparation methods and related properties of MOF materials. By describing the many in-depth observations and understandings of MOF-assisted SDT strategies in anticancer applications, we aim to highlight the advantages and improvements of MOF-enhanced SDT and synergistic therapy. The methods to improve the effect of SDT were discussed by exploring the measures of combining hypoxia activating drugs, improving hypoxia microenvironment, accelerating glutathione consumption, and enhancing cavitation effect. Based on the extensive application of MOF materials in SDT and the related technical challenges, this review hopes to bring some enlightenment to improve the therapeutic effect of cancer and promote the development of nanomedicine.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"9 ","pages":"Article 100070"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420643","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}

{"title":"Virus-inspired biogenic delivery system for advancing cancer therapy","authors":"Di Sun ,&nbsp;Hao Liang ,&nbsp;Qianwen Mu ,&nbsp;Chengchao Chu ,&nbsp;Gang Liu ,&nbsp;Chao Liu","doi":"10.1016/j.bmt.2025.100069","DOIUrl":"10.1016/j.bmt.2025.100069","url":null,"abstract":"<div><div>Virus-inspired particles have been utilized in various applications, including vaccination, gene therapy, drug therapy, and diagnostics. Biogenic delivery systems imitating the natural structure of viruses are regarded as innovative nanoplatforms used to deliver drug compounds to related sites and target cells in organisms. Among them, the components comprised of virus-like particles (VLPs) derive from the proteins or peptides of the viruses; the glycoproteins on their surface exert significant function as specific targeting. Types of assembled glycoproteins and encapsulated drug molecules confer the complexity and varieties of structure, function, and treatment of VLPs. VLPs lack viral virulence, resulting from a viral genetic material deficiency. In vaccine research, Virus-mimic nanovesicles have been effectively verified against cancer via the immunogenicity and the pharmacological effect of drug molecules delivered to mediate an immune response in the body. This review summarizes the research status of virus-inspired drug delivery platforms for cancer therapy utilization.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"9 ","pages":"Article 100069"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350844","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}

{"title":"Developing biotechnologies in organoids for liver cancer","authors":"Yingzhe Hu ,&nbsp;Zheng Peng ,&nbsp;Mengdi Qiu ,&nbsp;Lingling Xue ,&nbsp;Haozhen Ren ,&nbsp;Xingyu Wu ,&nbsp;Xinhua Zhu ,&nbsp;Yitao Ding","doi":"10.1016/j.bmt.2024.100067","DOIUrl":"10.1016/j.bmt.2024.100067","url":null,"abstract":"<div><div>Organoids, three-dimensional cellular constructs, have revolutionized in vitro culture by replicating the histological and physiological functions of organs, offering a model that closely mimics physiological conditions. Liver cancer presents a significant challenge due to its heterogeneity and the influence of the liver's microenvironment on therapeutic responses. Organoid technology addresses this complexity by simulating the tumor microenvironment in vitro, capturing the heterogeneity of liver cancer, and facilitating personalized treatment approaches. This study explores the integration of organoids in liver cancer research, focusing on genetic and phenotypic fidelity, disease modeling, and drug screening. We discuss the latest advancements in biotechnology, including CRISPR/Cas9, 3D bioprinting, and microfluidics, and their role in personalized medicine. Despite challenges in scalability and variability, organoids offer a promising avenue for liver cancer research and precision oncology, with the potential to transform our understanding and treatment of this disease.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"9 ","pages":"Article 100067"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706892","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}