Biomedical Analysis最新文献

{"title":"A fusion-mediated FRET approach for rapid analysis of extracellular vesicle miRNA as a diagnostic biomarker in ischemic stroke","authors":"Xingjie Wu, Yueyue Zhao, Ling Tao, Xiangchun Shen, Guofeng Wu, Wei Li","doi":"10.1016/j.bioana.2025.11.006","DOIUrl":"https://doi.org/10.1016/j.bioana.2025.11.006","url":null,"abstract":"Ischemic stroke is an acute neurological emergency caused by cerebral blood flow obstruction, with current diagnosis heavily dependent on time-consuming neuroimaging techniques that often delay critical intervention. Extracellular vesicles (EVs) have emerged as promising biomarker carriers for brain disorders due to their ability to cross the blood-brain barrier, yet their clinical translation has been hindered by complex isolation and detection requirements. Here, we develop a novel wash-free analytical platform leveraging liposome-EV fusion mediated by membrane lipid fluidity and integrated with Förster resonance energy transfer (FRET) technology. This innovative approach enables direct, rapid quantification of both EV concentration and EV-encapsulated miRNA in native biofluids without requiring prior EV separation, overcoming key limitations of conventional methods. When applied to clinical plasma samples, our method demonstrated high sensitivity with detection limits of 4.272 × 1011 particle/mL for EVs and 0.779 nM for miRNA. While no significant difference in total EV concentration was observed between ischemic stroke patients and hypertensive controls, EV-derived miRNA-21 levels were markedly elevated in patient samples, showing exceptional diagnostic performance (AUC = 0.915). This fusion-mediated FRET platform represents a significant advancement in EV-based diagnostics, offering a rapid, sensitive tool with substantial potential for point-of-care stroke diagnosis and timely intervention.","PeriodicalId":517965,"journal":{"name":"Biomedical Analysis","volume":"2 4","pages":"179-185"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147914917","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":"Machine learning empowered smartphone nanozyme sensing enables precise quantitative prediction of urinary uric acid","authors":"Jiayi Peng, Xinyu Chen, Zheng Tang, Linjie Wang, Zhou Zhan, Shuangquan Liu, Jinjin Liu, Xi Chen, Xiangheng Niu","doi":"10.1016/j.bioana.2025.11.005","DOIUrl":"https://doi.org/10.1016/j.bioana.2025.11.005","url":null,"abstract":"","PeriodicalId":517965,"journal":{"name":"Biomedical Analysis","volume":"2 4","pages":"149-158"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147330469","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 dual-mode paper-based microfluidic chip for protamine detection","authors":"Chenyao Wu, Jun Yi, Haoran Liu, Jing Xie, Han Liu, Zhefan Chen, Xinpeng Wang, Yuhang Zhou, Chenzhong Li, Cheng Jiang","doi":"10.1016/j.bioana.2025.10.001","DOIUrl":"https://doi.org/10.1016/j.bioana.2025.10.001","url":null,"abstract":"","PeriodicalId":517965,"journal":{"name":"Biomedical Analysis","volume":"2 4","pages":"242-249"},"PeriodicalIF":0.0,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147333273","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":"Mechanistic insights into the anti-osteoporotic effects of Tripterygium wilfordii via network pharmacology, molecular docking, and experimental validation","authors":"Haotian Qin, Yuanchao Zhu, Tiantian Qi, Weibei Sheng, Hui Zeng, Junyu Qian, Fei Yu","doi":"10.1016/j.bioana.2025.08.001","DOIUrl":"https://doi.org/10.1016/j.bioana.2025.08.001","url":null,"abstract":"Tripterygium wilfordii (Lei Gong Teng), a traditional Chinese medicinal herb, has shown potential in promoting bone health, yet its anti-osteoporotic mechanisms remain poorly defined. This study explored the underlying mechanisms of Tripterygium wilfordii (TWH) through network pharmacology, molecular docking, and experimental validation. Active compounds were identified from the TCMSP database using oral bioavailability ≥ 30 % and drug-likeness > 0.18, while osteoporosis-related targets were collected from GeneCards, OMIM, and TTD. Key targets were screened through protein–protein interaction analysis, and molecular docking assessed binding affinities. In vitro assays using mouse bone marrow-derived macrophages evaluated cytocompatibility, osteoclast inhibition, and changes in gene and protein expression. Eighteen active compounds and 121 putative targets were identified, with kaempferol and triptolide emerging as core constituents. Thirty-seven overlapping targets were enriched in IL-17, TNF, and estrogen pathways, and PTGS2, STAT3, and ESR1 were identified as key nodes. Molecular docking revealed strong binding affinities between major compounds and core proteins. TWH extract inhibited osteoclast formation dose-dependently and significantly downregulated PTGS2 and p-STAT3 expression at mRNA and protein levels. These findings suggest that TWH exerts anti-osteoporotic effects by modulating inflammation-related and estrogen-mediated signaling pathways, supporting its potential as a multi-targeted therapeutic candidate for osteoporosis.","PeriodicalId":517965,"journal":{"name":"Biomedical Analysis","volume":"2 3","pages":"89-99"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147897713","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":"One-pot synthesis of magnetic adsorbents with integrated pH regulation for convenient and rapid determination of non-steroidal anti-inflammatory drugs in plasma","authors":"Yuyang Wang, Mengyuan Lv, Yingfei Liu, Xudong Xia, Nan Zhang, Di Chen","doi":"10.1016/j.bioana.2025.09.003","DOIUrl":"https://doi.org/10.1016/j.bioana.2025.09.003","url":null,"abstract":"This work introduces a magnetic nanocomposite created via a one-pot method to produce a magnetic adsorbent with built-in pH regulation capabilities, optimizing the extraction and analysis of non-steroidal anti-inflammatory drugs (NSAIDs) in biological samples. The adsorbent material was prepared by mechanically integrating three key components: Fe₃O₄ nanoparticles for magnetic separation, hydroxylated multiwalled carbon nanotubes (MWCNTs-OH) for enhanced adsorption capacity, and citric acid (CA) serving as an intrinsic pH modulator. The synthesized material exhibits exceptional properties, including an extensive surface area and rapid magnetic response, facilitating the selective capture of the target analyte. A distinctive feature of this system is its ability to self-regulate the extraction environment to achieve optimal acidity, thereby eliminating manual pH adjustments and significantly simplifying pretreatment procedures. When coupled with high-performance liquid chromatography with ultraviolet detection (HPLC-UV) analysis, the composite demonstrated high extraction efficiency—with extraction recoveries ranging from 57.12 % to 78.56 % for five NSAIDs—and sensitive quantification of NSAIDs in human plasma. Validation studies revealed satisfactory method performance with good linear correlation (R²>0.99), acceptable accuracy, and reproducible precision. Successful application to clinical specimens confirmed the practical utility of this approach. This integrated methodology represents a significant advancement in sample preparation technology, offering an efficient and economical solution for therapeutic drug monitoring, with promising applications in clinical diagnostics and pharmaceutical research. • A one-pot magnetic adsorbent with integrated pH regulation was synthesized. • Citric acid in the composite enables automatic acidification during extraction. • The method enables rapid MSPE of NSAIDs from plasma without pH adjustment. • High extraction efficiency and reproducibility were achieved using HPLC-UV. • The approach simplifies therapeutic drug monitoring of NSAIDs in biofluids.","PeriodicalId":517965,"journal":{"name":"Biomedical Analysis","volume":"2 3","pages":"120-129"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147905971","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":"Loofah-Inspired CuS/Fe3O4@BC nanozyme: A multifunctional platform for mercury(II) detection, visual biosensing, and dye degradation","authors":"Xu Xu, Xin-yue Zhou, Muyao Ma, Xinyu Liu, Lei Zhang","doi":"10.1016/j.bioana.2025.05.001","DOIUrl":"https://doi.org/10.1016/j.bioana.2025.05.001","url":null,"abstract":"The accumulation of toxic heavy metal ions and organic pollutants in biological systems presents critical challenges for clinical diagnostics and therapeutic safety, demanding innovative solutions for sensitive detection and targeted remediation. Here, a nanozyme referred to as CuS/Fe 3 O 4 @BC has been developed by integrating copper sulfide (CuS) and iron oxide (Fe 3 O 4 ) onto a biochar (BC) matrix. This material exhibits biomimetic hierarchical porosity and enhanced peroxidase-like activity, making it specifically tailored for biomedical analysis applications. This multifunctional platform achieves ultrasensitive mercury(II) detection in biological fluids through structural optimization of mass transfer kinetics combined with a 29.3-fold enhancement in catalytic activity compared to conventional CuS nanozymes. To bridge laboratory diagnostics with point-of-care applications, the nanozyme is integrated into smartphone-coupled hydrogel spheres, enabling portable colorimetric quantification of Hg 2 + with a detection limit of 0.28 μM. Additionally, the system demonstrates efficient enzyme-mimetic clearance of dyes such as methylene blue and Congo red under flow conditions, achieving 99 % degradation efficiency within 20 min. By synergizing biosensing, catalytic remediation, and mobile health technologies, this nanozyme platform establishes a transformative approach for integrated diagnostic-therapeutic strategies, addressing unmet needs in toxicology monitoring, medical wastewater management, and therapeutic dye detoxification.","PeriodicalId":517965,"journal":{"name":"Biomedical Analysis","volume":"2 2","pages":"79-88"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147902743","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":"The dawn of spatiotemporal transcriptomics","authors":"Siying Wang, Shichao Lin, Chaoyong Yang","doi":"10.1016/j.bioana.2024.06.002","DOIUrl":"https://doi.org/10.1016/j.bioana.2024.06.002","url":null,"abstract":"","PeriodicalId":517965,"journal":{"name":"Biomedical Analysis","volume":"63 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141404023","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":"Engineered exosome-based drug delivery system for synergistic cancer therapy via autophagy inhibition and chemotherapy","authors":"Xin Hua, Yu Liu, Xi Liu, Qi Zhu, Sisi Zhou, Quan Li, Songqin Liu","doi":"10.1016/j.bioana.2024.05.002","DOIUrl":"https://doi.org/10.1016/j.bioana.2024.05.002","url":null,"abstract":"","PeriodicalId":517965,"journal":{"name":"Biomedical Analysis","volume":"45 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141278509","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 study on epigenetic biomarkers in early detection and prognosis of Alzheimer's disease","authors":"Dhruv Parikh, Manan Shah","doi":"10.1016/j.bioana.2024.05.005","DOIUrl":"https://doi.org/10.1016/j.bioana.2024.05.005","url":null,"abstract":"","PeriodicalId":517965,"journal":{"name":"Biomedical Analysis","volume":"2018 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141400788","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":"Hanning FIR window filtering analysis for EEG signals","authors":"Aruna Pant, Adesh Kumar","doi":"10.1016/j.bioana.2024.05.003","DOIUrl":"https://doi.org/10.1016/j.bioana.2024.05.003","url":null,"abstract":"","PeriodicalId":517965,"journal":{"name":"Biomedical Analysis","volume":"45 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141275625","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}