Ya Fan, Yanting Duan, Jiangqing Chen, Yajie Wang, Kai Shang, Jie Jiang, Lu Su, Chun Zhou, Michel Sadelain, He Huang, Jie Sun
{"title":"Bispecific killer cell engager-secreting CAR-T cells redirect natural killer specificity to enhance antitumour responses","authors":"Ya Fan, Yanting Duan, Jiangqing Chen, Yajie Wang, Kai Shang, Jie Jiang, Lu Su, Chun Zhou, Michel Sadelain, He Huang, Jie Sun","doi":"10.1038/s41551-025-01450-4","DOIUrl":"https://doi.org/10.1038/s41551-025-01450-4","url":null,"abstract":"<p>T cells and natural killer (NK) cells collaborate to maintain immune homeostasis. Current cancer immunotherapies predominantly rely on the individual application of these cells. Here we use bicistronic vectors to co-express chimeric antigen receptors (CARs) and secreted immune cell engagers (ICEs), leveraging the combined therapeutic potential of both effector cell types. After in vitro validation of immune cell engager secretion and function, various combinatorial approaches are systematically compared in mouse models, identifying a highly effective combination of bispecific killer cell engager (BiKE)-secreting CAR-T cells and NK cells. Beyond a simple combination of conventional CAR-T cells and NK cells, this strategy demonstrates superior efficacy in CD19<sup>+</sup> B cell leukaemia and lymphoma and EGFR<sup>+</sup> solid tumour models while reducing the dosage dependence on CAR-T cells. Moreover, CAR-T cells and BiKEs targeting distinct antigens exhibit suppression of tumour cells with heterogeneous antigen expression. These findings indicate that combining BiKE-secreting CAR-T cells and NK cells offers a promising strategy to combat tumour antigen heterogeneity and immune evasion.</p>","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"11 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144622203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A generative model uses healthy and diseased image pairs for pixel-level chest X-ray pathology localization","authors":"Kaiming Dong, Yuxiao Cheng, Kunlun He, Jinli Suo","doi":"10.1038/s41551-025-01456-y","DOIUrl":"https://doi.org/10.1038/s41551-025-01456-y","url":null,"abstract":"<p>Medical artificial intelligence (AI) offers potential for automatic pathological interpretation, but a practicable AI model demands both pixel-level accuracy and high explainability for diagnosis. The construction of such models relies on substantial training data with fine-grained labelling, which is impractical in real applications. To circumvent this barrier, we propose a prompt-driven constrained generative model to produce anatomically aligned healthy and diseased image pairs and learn a pathology localization model in a supervised manner. This paradigm provides high-fidelity labelled data and addresses the lack of chest X-ray images with labelling at fine scales. Benefitting from the emerging text-driven generative model and the incorporated constraint, our model presents promising localization accuracy of subtle pathologies, high explainability for clinical decisions, and good transferability to many unseen pathological categories such as new prompts and mixed pathologies. These advantageous features establish our model as a promising solution to assist chest X-ray analysis. In addition, the proposed approach is also inspiring for other tasks lacking massive training data and time-consuming manual labelling.</p>","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"2 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144622201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Francesca Gasparin, Marlene R. Tietje, Eslam Katab, Aizada Nurdinova, Tao Yuan, Andriy Chmyrov, Nasire Uluç, Dominik Jüstel, Florian Bassermann, Vasilis Ntziachristos, Miguel A. Pleitez
{"title":"Label-free protein-structure-sensitive live-cell microscopy for patient-specific assessment of myeloma therapy","authors":"Francesca Gasparin, Marlene R. Tietje, Eslam Katab, Aizada Nurdinova, Tao Yuan, Andriy Chmyrov, Nasire Uluç, Dominik Jüstel, Florian Bassermann, Vasilis Ntziachristos, Miguel A. Pleitez","doi":"10.1038/s41551-025-01443-3","DOIUrl":"https://doi.org/10.1038/s41551-025-01443-3","url":null,"abstract":"<p>The efficacy of drug therapy in multiple myeloma is conventionally assessed by whole-cell-population methods, serum analysis of light chains and monoclonal antibodies, immunofixation electrophoresis, or by flow cytometry of bone marrow aspirates and biopsies. These methods provide relevant information on the presence of specific immunoglobulins at high sensitivity and specificity but require a large number of cells, involve long and laborious sample preparation steps, and provide only tumour bulk information. Here we develop a single-cell imaging technique requiring a reduced number of primary cells for longitudinal evaluation of patient-specific treatment and assessment of treatment heterogeneity. By exploiting the mechanistic action of proteasome inhibition and in synergy with the label-free protein-structure specificity of mid-infrared optoacoustic microscopy, we present a technology that facilitates longitudinal evaluation of myeloma treatment and a patient’s heterogeneous response. Detecting optical-generated ultrasound waves that intensify with optical absorption, this technology allows observation of proteins in living cells with high sensitivity. Specifically, we use intermolecular β-sheet formation as a biomarker for cell viability during therapy and apply it to assess drug-treatment performance in multiple myeloma patients.</p>","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"29 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144622204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Siddharth R. Krishnan, Laura O’Keeffe, Arnab Rudra, Derin Gumustop, Nima Khatib, Claudia Liu, Jiawei Yang, Athena Wang, Matthew A. Bochenek, Yen-Chun Lu, Suman Bose, Kaelan Reed, Robert Langer, Daniel G. Anderson
{"title":"Emergency delivery of particulate drugs by active ejection using in vivo wireless devices","authors":"Siddharth R. Krishnan, Laura O’Keeffe, Arnab Rudra, Derin Gumustop, Nima Khatib, Claudia Liu, Jiawei Yang, Athena Wang, Matthew A. Bochenek, Yen-Chun Lu, Suman Bose, Kaelan Reed, Robert Langer, Daniel G. Anderson","doi":"10.1038/s41551-025-01436-2","DOIUrl":"https://doi.org/10.1038/s41551-025-01436-2","url":null,"abstract":"<p>Rapidly administered emergency drug therapy represents life-saving treatment for a range of acute conditions including hypoglycaemia, anaphylaxis and cardiac arrest. Devices that automate emergency delivery, such as pumps and automated injectors, are limited by the low stability of liquid formulations. In contrast, dry particulate formulations of these drugs are stable but are incompatible with drug pumps and require reconstitution before administration. Here we develop a miniaturized (<3 cm<sup>3</sup>), lightweight (<2 g), minimally invasive, fully wireless emergency rescue device for the storage and active burst-release of indefinitely stable particulate forms of peptide and hormone drugs into subcutaneous sites for direct reconstitution in interstitial biofluids and rapid (<5 min) therapeutic effect. Importantly, the device delivers drug across fibrotic tissue, which commonly accumulates following in vivo implantation, thereby accelerating systemic delivery. Fully wireless delivery of dry particulate glucagon in vivo is demonstrated, providing emergency hypoglycaemic rescue in diabetic mice. In addition, triggered delivery of epinephrine is demonstrated in vivo. This work provides a platform for the long-term in vivo closed-loop delivery of emergency rescue drugs.</p>","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"33 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144586646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cuifeng Li, Yuxin Li, Bini Zhou, Tong Li, Xiaohui Wei, Kun Chen, Wenlong Chen, Ziwei Shi, Xiaobin Dai, Jiachen Zhang, Chen Yang, Zhenglin Ji, Wenbo Sun, Ji Gao, Jing Wu, Binbin Zhao, Xin Min, Yujie Li, Lin Lin, Wei Yang, Min Wang, Zezhong Liu, Yaping Liu, Chenyou Zhu, Bo Yang, Jiang-Fei Xu, Li-Tang Yan, Yi Shi, Lu Lu, Linqi Zhang, Qiang Ding, Jing Xue, Baidong Hou, Hai Qi, Jiangning Liu, Yuhe R. Yang, Dongsheng Liu, Wanli Liu
{"title":"Enantiomer-dependent and modification-free DNA matrix as an adjuvant for subunit vaccines against SARS-CoV-2 or pneumococcal infections","authors":"Cuifeng Li, Yuxin Li, Bini Zhou, Tong Li, Xiaohui Wei, Kun Chen, Wenlong Chen, Ziwei Shi, Xiaobin Dai, Jiachen Zhang, Chen Yang, Zhenglin Ji, Wenbo Sun, Ji Gao, Jing Wu, Binbin Zhao, Xin Min, Yujie Li, Lin Lin, Wei Yang, Min Wang, Zezhong Liu, Yaping Liu, Chenyou Zhu, Bo Yang, Jiang-Fei Xu, Li-Tang Yan, Yi Shi, Lu Lu, Linqi Zhang, Qiang Ding, Jing Xue, Baidong Hou, Hai Qi, Jiangning Liu, Yuhe R. Yang, Dongsheng Liu, Wanli Liu","doi":"10.1038/s41551-025-01431-7","DOIUrl":"https://doi.org/10.1038/s41551-025-01431-7","url":null,"abstract":"<p>The emergence of novel infectious disease has intensified demand for more advanced vaccine development and more potent adjuvants to enhance immunogenicity. Here we introduce a dynamic DNA supramolecular matrix assembled from five unmodified, short DNA single strands, serving as a safe, multifaceted adjuvant platform. This DNA matrix elicits a robust humoral response with minimal adverse effects, generating potent neutralizing antibodies and conferring robust protection against SARS-CoV-2 and <i>Streptococcus pneumoniae</i> infections. Its dynamic colloidal feature prolongs the in vivo retention of both DNA and antigen, facilitating lymphatic-targeted transportation and presentation. This process leads to a robust pro-inflammatory response in both the vaccinated site and draining lymph node, which, in turn, promotes the recruitment and activation of immune cells, leading to a rapid, effective antigen-specific antibody response. The enhanced function of DNA matrix depends on the canonical TLR9–MyD88 signalling axis in dendritic cells. In addition, only right-handed, not left-handed, chirality of the DNA strands forms <span>d</span>-DNA matrix and promotes immune activations. Thus, this DNA matrix functions as an all-in-one adjuvant platform, opening promising avenues for future vaccine design.</p>","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"21 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144577974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hector Estrada, Yiming Chen, Théo Lemaire, Neda Davoudi, Ali Özbek, Qendresa Parduzi, Shy Shoham, Daniel Razansky
{"title":"Holographic transcranial ultrasound neuromodulation enhances stimulation efficacy by cooperatively recruiting distributed brain circuits","authors":"Hector Estrada, Yiming Chen, Théo Lemaire, Neda Davoudi, Ali Özbek, Qendresa Parduzi, Shy Shoham, Daniel Razansky","doi":"10.1038/s41551-025-01449-x","DOIUrl":"https://doi.org/10.1038/s41551-025-01449-x","url":null,"abstract":"<p>Precision-targeted ultrasonic neuromodulation offers immense potential for studying brain function and treating neurological diseases. Yet, its application has been limited by challenges in achieving precise spatio-temporal control and monitoring of ultrasound effects on brain circuits. Here we show that transcranial ultrasound elicits direct and highly focal responses, which can be dynamically steered at spatio-temporal scales relevant for neural function. Furthermore, holographic transcranial ultrasound stimulation allows direct control of the stimulated volume and actively modulates local and mid-range network projections, effectively lowering the activation threshold by an order of magnitude. To better understand this previously unexplored excitability regime not fully explained by the conventional pressure–frequency dyad, we developed a dual modelling framework, where both an empirical and a mechanistic model were constructed to capture the intricacies of holographic transcranial ultrasound stimulation. These models achieve qualitative agreement with our experimental results, suggesting that these findings are predominantly driven by putative network interactions. Our results bring insight on the complex interaction mechanisms of ultrasound with neural tissue and highlight its potential for the noninvasive interfacing of distributed brain networks.</p>","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"50 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144568360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wenxiong Zhou, Li Kang, Shuo Qiao, Haifeng Duan, Chenghong Yin, Chao Liu, Zhizhao Liao, Mingchuan Tang, Ruiying Zhang, Lei Li, Lei Shi, Meijie Du, Yipeng Wang, Wentao Yue, Yan Xiao, Lin Di, Xiannian Zhang, Yuhong Pang, Mingkun Li, Lili Ren, Jianbin Wang, Zitian Chen, Yanyi Huang
{"title":"A fuzzy sequencer for rapid DNA fragment counting and genotyping","authors":"Wenxiong Zhou, Li Kang, Shuo Qiao, Haifeng Duan, Chenghong Yin, Chao Liu, Zhizhao Liao, Mingchuan Tang, Ruiying Zhang, Lei Li, Lei Shi, Meijie Du, Yipeng Wang, Wentao Yue, Yan Xiao, Lin Di, Xiannian Zhang, Yuhong Pang, Mingkun Li, Lili Ren, Jianbin Wang, Zitian Chen, Yanyi Huang","doi":"10.1038/s41551-025-01430-8","DOIUrl":"https://doi.org/10.1038/s41551-025-01430-8","url":null,"abstract":"<p>High-throughput sequencing technologies generate a vast number of DNA sequence reads simultaneously, which are subsequently analysed using the information contained within these fragmented reads. The assessment of sequencing technology relies on information efficiency, which measures the amount of information entropy produced per sequencing reaction cycle. Here we propose a fuzzy sequencing strategy that exhibits information efficiency more than twice that of currently prevailing cyclic reversible terminator sequencing methods. To validate our approach, we develop a fully functional and high-throughput fuzzy sequencer. This sequencer implements an efficient fluorogenic sequencing-by-synthesis chemistry and we test it across various application scenarios, including copy-number variation detection, non-invasive prenatal testing, transcriptome profiling, mutation genotyping and metagenomic profiling. Our findings demonstrate that the fuzzy sequencing strategy outperforms existing methods in terms of information efficiency and delivers accurate resequencing results with faster turnaround times.</p>","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"280 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144533074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lin Bai, Jiacheng Lyu, Jinwen Feng, Xiaoqiang Qiao, Yuanyuan Qu, Guojian Yang, Yuanxue Zhu, Lingxiao Liao, Hui Gao, Aimin Zang, Zeya Xu, Tao Ji, Peng Ran, Wencong Ding, Hailiang Zhang, Lingli Zhu, Yan Wang, Liang Wang, Xiaofang Wang, Yumiao Li, Jinghua Li, Xiaoping Yin, Guofa Zhao, Dan Liu, Xiangpeng Gao, Sha Tian, Subei Tan, Yan Pu, Lingling Li, Zizheng Song, Jin Song, Wenjia Guo, Yongshi Liao, Dingwei Ye, Wenjun Yang, Youchao Jia, Chen Ding
{"title":"Cancer biomarkers discovered using pan-cancer plasma proteomic profiling","authors":"Lin Bai, Jiacheng Lyu, Jinwen Feng, Xiaoqiang Qiao, Yuanyuan Qu, Guojian Yang, Yuanxue Zhu, Lingxiao Liao, Hui Gao, Aimin Zang, Zeya Xu, Tao Ji, Peng Ran, Wencong Ding, Hailiang Zhang, Lingli Zhu, Yan Wang, Liang Wang, Xiaofang Wang, Yumiao Li, Jinghua Li, Xiaoping Yin, Guofa Zhao, Dan Liu, Xiangpeng Gao, Sha Tian, Subei Tan, Yan Pu, Lingling Li, Zizheng Song, Jin Song, Wenjia Guo, Yongshi Liao, Dingwei Ye, Wenjun Yang, Youchao Jia, Chen Ding","doi":"10.1038/s41551-025-01448-y","DOIUrl":"https://doi.org/10.1038/s41551-025-01448-y","url":null,"abstract":"<p>Mass-spectrometry-based proteomic data of tumour patient plasma samples present opportunities for improving cancer detection. Here we generate plasma proteomic profiles from 2,251 pan-cancer patient samples and investigate potential diagnostic biomarkers. Proteomic subtyping with different dominant tumour types links proteomic features and clinical indicators such as tumour stage. The highly immune-activated subtype, consisting of renal and bladder cancers, shows elevated glucose–insulin metabolism and reduced lipid metabolism. Comparison of the plasma proteome before and after surgery indicates that proteome patterns could be used to monitor post-surgery therapeutic effects. We also develop a binary classified model that distinguishes between tumour types and healthy controls, as well as a multicancer model for pan-cancer classification of proteins that could be useful biomarkers, and validate their performance in an independent cohort. In addition, we find that the plasma proteome, along with clinical indicators, whole blood cells and so on, can distinguish the pathological subtypes of specific tumour types. This study portrays a pan-cancer plasma proteomic landscape, providing information on plasma biomarkers that could help in discovering diagnostic opportunities.</p>","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"69 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144533071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Jawbone-like organoids generated from human pluripotent stem cells","authors":"Souta Motoike, Yoshiko Inada, Junya Toguchida, Mikihito Kajiya, Makoto Ikeya","doi":"10.1038/s41551-025-01419-3","DOIUrl":"https://doi.org/10.1038/s41551-025-01419-3","url":null,"abstract":"<p>Engineering jawbone tissues from pluripotent stem cells presents a challenge owing to the lack of protocols for selectively inducing the jawbone progenitor, the first pharyngeal arch (PA1) ectomesenchyme, and for recapitulating three-dimensional osteocyte networks. Here we present a method for generating jawbone-like organoids from human induced pluripotent stem cells through PA1 ectomesenchyme of the mandibular prominence (mdEM). A three-dimensional culture system enables sequential differentiation of induced pluripotent stem cells into neural crest cells and mdEM. The mdEM exhibits proximal–distal patterning from the centre outwards, mirroring mandibular development. The introduction of exogenous pharyngeal epithelial signals induces mandibular prominence-specific regional patterning in the mdEM. When cultured under osteogenic conditions, the mdEM forms jawbone-like organoids comprising osteoblasts and network-forming osteocytes embedded in self-produced mineralized bone matrices. Moreover, these organoids promote bone regeneration when transplanted into jaws containing bone defects and recapitulate phenotypes of osteogenesis imperfecta, a genetic disorder characterized by fragile bones, using patient-derived induced pluripotent stem cells. Our protocols establish a foundation for investigating human jaw embryology and pathophysiology.</p>","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"13 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144533070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An-Yi Chang, Muyang Lin, Lu Yin, Maria Reynoso, Shichao Ding, Ruixiao Liu, Yuma Dugas, Ana Casanova, Geonho Park, Zhengxing Li, Hao Luan, Nelly Askarinam, Fangyu Zhang, Sheng Xu, Joseph Wang
{"title":"Integration of chemical and physical inputs for monitoring metabolites and cardiac signals in diabetes","authors":"An-Yi Chang, Muyang Lin, Lu Yin, Maria Reynoso, Shichao Ding, Ruixiao Liu, Yuma Dugas, Ana Casanova, Geonho Park, Zhengxing Li, Hao Luan, Nelly Askarinam, Fangyu Zhang, Sheng Xu, Joseph Wang","doi":"10.1038/s41551-025-01439-z","DOIUrl":"https://doi.org/10.1038/s41551-025-01439-z","url":null,"abstract":"<p>The development of closed-loop systems towards effective management of diabetes requires the inclusion of additional chemical and physical inputs that affect disease pathophysiology and reflect cardiovascular risks in patients. Comprehensive glycaemic control information should account for more than a single glucose signal. Here, we describe a hybrid flexible wristband sensing platform that integrates a microneedle array for multiplexed biomarker sensing and an ultrasonic array for blood pressure, arterial stiffness and heart-rate monitoring. The integrated system provides a continuous evaluation of the metabolic and cardiovascular status towards improving glycaemic control and alerting patients to cardiovascular risks. The multimodal platform offers continuous glucose, lactate and alcohol monitoring, along with simultaneous ultrasonic measurements of blood pressure, arterial stiffness and heart rate, to support understanding of the interplay between interstitial fluid biomarkers and physiological parameters during common activities. By expanding the continuous monitoring of patients with diabetes to additional biomarkers and key cardiac signals, our integrated multiplexed chemical–physical health-monitoring platform holds promise for addressing the limitations of existing single-modality glucose-monitoring systems towards enhanced management of diabetes and related cardiovascular risks.</p>","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"27 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144533072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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