Biomedical Technology最新文献

{"title":"Multi-omics advances in understanding cancer drug resistance","authors":"Xuechao Liu ,&nbsp;Kunpeng Wei ,&nbsp;Enyu Lin ,&nbsp;Yi Li ,&nbsp;Pengzhen Zhuang ,&nbsp;Yanbing Zhou ,&nbsp;Guilai Zuo ,&nbsp;Zhaojian Niu","doi":"10.1016/j.bmt.2025.100119","DOIUrl":"10.1016/j.bmt.2025.100119","url":null,"abstract":"<div><div>Cancer drug resistance presents a significant challenge in modern oncology, necessitating detailed exploration of its underlying mechanisms and the development of effective counterstrategies. This review aims to systematically evaluate the most recent applications and advancements of multi-omics technologies in elucidating the mechanisms of cancer drug resistance. Multi-omics includes genomics, transcriptomics, proteomics, microbiomics, metabolomics, and epigenomics. Notably, emerging methodologies such as single-cell and spatial omics have been instrumental in revealing the biological characteristics and resistance mechanisms of tumor cells across various layers and dimensions. The review highlights resistance mechanisms uncovered through the combined application of multi-omics, including gene mutations and epigenetic modifications, reprogramming of signaling pathways, drug efflux and cytoskeletal reorganization, and DNA repair mechanisms. It also explores novel mechanisms in the tumor immune microenvironment (TIME), metabolic reprogramming, and microbiome interactions. The review assesses the benefits of integrating multi-omics data, the application of these technologies in identifying key genes and pathways, and their role in personalized treatment strategies. It provides a comprehensive understanding of the dynamic changes and heterogeneity in cancer drug resistance to aid precision treatment strategies. Additionally, the article offers insights into the future directions of multi-omics technologies in oncology drug resistance research and discusses the primary challenges ahead. We aim to provide novel perspectives and directions for innovation and optimization in cancer treatment, ultimately enhancing patient prognosis and quality of life in oncology.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"12 ","pages":"Article 100119"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145528256","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":"Targeting HSPA8 to repress GPX4 and induce ferroptosis in BCR-ABL positive leukemia","authors":"Shuxin Zhong ,&nbsp;Dingrui Nie ,&nbsp;Xueting Peng ,&nbsp;Kangjie Qiu ,&nbsp;Jinyi Liu ,&nbsp;Zhangshuai Dai ,&nbsp;Xianfeng Zha ,&nbsp;Songnan Sui ,&nbsp;Weini Li ,&nbsp;Weizhang Wang ,&nbsp;Cunte Chen ,&nbsp;Yangqiu Li ,&nbsp;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":"2025-09-01","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}

{"title":"Recent advances in organic phosphorescent materials for bioimaging","authors":"Yi Wu ,&nbsp;Zhipeng Zhao ,&nbsp;Shouchang Jiao ,&nbsp;Tianhang Song ,&nbsp;Cong Du ,&nbsp;Binbin Fan ,&nbsp;Yaokun Pang ,&nbsp;Hua Yuan ,&nbsp;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":"2025-09-01","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}

{"title":"Advanced 3D biomaterials and bioprinting strategies for in vitro modeling of neurodegenerative diseases","authors":"Meenaloshini Gopalakrishnan ,&nbsp;Deepshikaa Kannan ,&nbsp;Karthikeyan Elumalai ,&nbsp;Karthik Karunakar ,&nbsp;Sujaritha Jayaraj ,&nbsp;Mahalakshmi Devaraji ,&nbsp;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/Ag₂O 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":"2025-09-01","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}

{"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":"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":"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":"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}