Current Opinion in Biomedical Engineering最新文献

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Biosensors in biomedical research: Bridging cell and tissue engineering and real-time monitoring 生物医学研究中的生物传感器：桥接细胞和组织工程以及实时监测

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-06-01 Epub Date: 2025-02-03 DOI: 10.1016/j.cobme.2025.100582

Zahra Rezaei , Niyou Wang , Alan De Jesus Alarcon Rodriguez , Shougo Higashi , Su Ryon Shin

Biosensing technology is essential for advancing biomedical research, enabling real-time, continuous monitoring of biomarkers to deepen our understanding of cellular and tissue behaviors within their environments. This review categorizes sensors as intracellular or extracellular types and discusses the integration of various biosensors into in vitro models. Special focus is given to electrochemical biosensors for their precision, potential for miniaturization, quantitative sensitivity, and real-time detection capabilities. We discuss how biosensors are transforming fields such as cancer research, toxicology, neuroscience, cardiovascular studies, and tissue regeneration. Biosensors play a significant role in disease modeling, drug testing, and smart wound healing systems, where continuous, non-invasive monitoring supports personalized therapeutic strategies and creates new possibilities for large-scale biofabrication. Importantly, biosensors operate in direct contact with cells or tissue, thus preserving tissue integrity during development. Integrating biosensors into in vitro models allows researchers to monitor physiological behavior, bridging critical gaps between laboratory studies and clinical applications.

生物传感技术对于推进生物医学研究至关重要，它能够实时、连续地监测生物标志物，从而加深我们对细胞和组织在其环境中的行为的理解。本文将传感器分为细胞内和细胞外类型，并讨论了各种生物传感器在体外模型中的集成。特别关注电化学生物传感器的精度、小型化潜力、定量灵敏度和实时检测能力。我们将讨论生物传感器如何改变癌症研究、毒理学、神经科学、心血管研究和组织再生等领域。生物传感器在疾病建模、药物测试和智能伤口愈合系统中发挥着重要作用，其中连续、非侵入性监测支持个性化治疗策略，并为大规模生物制造创造了新的可能性。重要的是，生物传感器可以直接与细胞或组织接触，从而在发育过程中保持组织的完整性。将生物传感器集成到体外模型中，使研究人员能够监测生理行为，弥合实验室研究和临床应用之间的关键差距。

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引用次数: 0

Bioelectronic therapies for chronic pain 慢性疼痛的生物电子疗法

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-06-01 Epub Date: 2025-01-20 DOI: 10.1016/j.cobme.2025.100577

Liam A. Matthews , Scott F. Lempka

Chronic pain is a leading cause of disability worldwide. Bioelectronic treatments for chronic pain are a class of therapies that apply electrical or magnetic stimuli to the nervous system to mitigate pain. In light of the opioid crisis, these strategies have garnered significant investment in recent years due to their ability to provide non-addictive pain relief. Despite remarkable success in some patients, the majority of bioelectronic approaches are typically recommended as a last-resort therapy due to their high cost, invasiveness, and limited evidence of long-term efficacy. Furthermore, these therapies are not a panacea for many patients, often providing clinically meaningful, but incomplete pain relief. Thus, there is substantial room for improvement and innovation to both increase therapeutic efficacy and develop novel strategies and devices that enable utilization of bioelectronic therapies earlier in the chronic pain treatment continuum. Here, we review recent advances to bioelectronic treatments for chronic pain.

慢性疼痛是全世界致残的主要原因。慢性疼痛的生物电子治疗是一类应用电或磁刺激神经系统来减轻疼痛的治疗方法。鉴于阿片类药物危机，这些策略近年来获得了大量投资，因为它们能够提供非成瘾性疼痛缓解。尽管在一些患者中取得了显著的成功，但由于成本高、侵入性强、长期疗效证据有限，大多数生物电子方法通常被推荐为最后的治疗手段。此外，这些疗法并不是对许多患者的万灵药，通常提供临床意义，但不完全的疼痛缓解。因此，有很大的改进和创新空间来提高治疗效果，开发新的策略和设备，使生物电子疗法在慢性疼痛治疗连续体的早期应用成为可能。在这里，我们回顾了生物电子治疗慢性疼痛的最新进展。

引用次数: 0

Personalized gait rehabilitation with spinal cord stimulation and machine learning: Recent advances and promising applications 个性化步态康复与脊髓刺激和机器学习：最新进展和有前景的应用

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-06-01 Epub Date: 2025-02-01 DOI: 10.1016/j.cobme.2025.100579

Kylee North , Sonny T. Jones , Grange M. Simpson , Ashley N. Dalrymple

Lumbosacral spinal cord stimulation shows promise in restoring walking after spinal cord injury. This review discusses recently developed machine learning approaches to provide customized stimulation patterns and parameters according to the extent of injury to achieve community ambulation. Key challenges include the need for control strategies that enhance residual limb function and adapt to variable motor impairments across individuals. Efficient identification of optimal stimulation parameters and the ability to adapt parameters over time without manual tuning is essential for long-term use upon clinical translation of spinal cord stimulation therapies for rehabilitation. Machine learning provides the necessary framework for personalized rehabilitation treatment by offering a flexible architecture that evolves and adapts automatically to suit individual patient rehabilitation needs and preferences.

腰骶脊髓刺激显示脊髓损伤后恢复行走的希望。本文讨论了最近开发的机器学习方法，根据损伤程度提供定制的刺激模式和参数，以实现社区活动。关键的挑战包括需要控制策略，以增强残肢功能和适应不同个体的运动损伤。有效地识别最佳的刺激参数和不需要手动调整的随时间适应参数的能力对于长期使用脊髓刺激康复治疗的临床翻译至关重要。机器学习为个性化康复治疗提供了必要的框架，提供了一个灵活的架构，可以自动发展和适应个体患者的康复需求和偏好。

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Trans-epithelial/endothelial electrical resistance (TEER): Current state of integrated TEER measurements in organ-on-a-chip devices 跨上皮/内皮电阻（TEER）：器官芯片设备集成TEER测量的现状

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-06-01 Epub Date: 2025-03-19 DOI: 10.1016/j.cobme.2025.100588

Mridu Malik , Stecia A. Steele , Deepshikha Mitra , Christopher J. Long , James J. Hickman

Trans-epithelial/endothelial electrical resistance (TEER) is a non-invasive and quick method of assessing the integrity of barrier tissues. Traditional TEER measurement methods such as chopstick electrode-based and chamber-based measurements work well with static, Transwell-based models; however, the same methods do not directly apply to human-on-a-chip or organ-on-a-chip (OOC) platforms. With the wide variety of organ-on-a-chip devices, innovative designs to accurately measure TEER, without disturbing cells, are customized for various devices. Wire electrode integration, integrating a two-probe or four-probe technique, flexible printed circuit boards or multi-electrode glass substrate-based methods are some of the TEER measurement setups being utilized in conjunction with OOC systems. The variability in measurement setups associated with OOCs make standardization challenging; however, the field is working towards establishing guidelines on acceptable TEER values for different OOC constructs.

跨上皮/内皮电阻（TEER）是一种非侵入性和快速评估屏障组织完整性的方法。传统的TEER测量方法，如基于筷子电极和基于腔室的测量方法，可以很好地与基于transwell的静态模型配合使用；然而，同样的方法并不直接适用于人体芯片或器官芯片（OOC）平台。随着各种各样的器官芯片设备，创新的设计，以准确地测量TEER，而不干扰细胞，为各种设备定制。线电极集成，集成双探头或四探头技术，柔性印刷电路板或基于多电极玻璃基板的方法是与OOC系统一起使用的一些TEER测量装置。与ooc相关的测量设置的可变性使标准化具有挑战性；然而，该领域正在努力为不同的OOC结构制定可接受的TEER值准则。

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A mini review of quantitative optical technologies for imaging cell and tissue metabolism 细胞和组织代谢成像的定量光学技术综述

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-06-01 Epub Date: 2025-02-10 DOI: 10.1016/j.cobme.2025.100581

Aining Fan , Erick Alvarado , Anton Block , Lingyan Shi

Label-free imaging techniques, with their nondestructive, dye-free operation, and broad detection capabilities, have rapidly advanced and found application in biological tissue analysis. The integration of multimodal label-free imaging technologies has gained significant attention as it enables the acquisition of diverse molecular information from multiple sources while overcoming the limitations associated with conventional single-modality approaches. In this review, we examine several key label-free optical imaging technologies and their recent applications. We also discuss innovative multimodal imaging platforms, along with current advancements, limitations, and prospects in the field of label-free imaging.

无标签成像技术具有无损、无染料操作和广泛的检测能力，已迅速发展并在生物组织分析中得到应用。多模态无标签成像技术的集成已经获得了极大的关注，因为它能够从多个来源获取不同的分子信息，同时克服了传统单模态方法的局限性。本文综述了几种关键的无标签光学成像技术及其最新应用。我们还讨论了创新的多模态成像平台，以及无标签成像领域的当前进展、限制和前景。

引用次数: 0

Interplay between extracellular matrix mechanics and cell function in mechanobiology 力学生物学中细胞外基质力学与细胞功能的相互作用

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-06-01 Epub Date: 2025-03-27 DOI: 10.1016/j.cobme.2025.100589

Peter A. Galie , Paul A. Janmey

Tissues are composites of cells and extracellular matrix that interact with each other both chemically and mechanically to form functioning organs with defined chemical and physical properties. Changes in the physical properties of the extracellular matrix often alter the function of cells, and reciprocally, modified cell function remodels the extracellular matrix in a complex iterative process that mediates normal development, wound healing, and pathological dysfunction. Recent advances in studying how cells and matrix physically interact with each other reveal new aspects of tissue and matrix mechanics and identify potential targets for therapeutic intervention in pathologic settings.

组织是细胞和细胞外基质的复合材料，它们在化学和机械上相互作用，形成具有特定化学和物理特性的功能器官。细胞外基质物理性质的改变经常改变细胞的功能，反过来，细胞功能的改变也会在一个复杂的迭代过程中重塑细胞外基质，介导正常发育、伤口愈合和病理功能障碍。细胞和基质如何相互作用的最新研究进展揭示了组织和基质力学的新方面，并确定了病理环境中治疗干预的潜在靶点。

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Advancing cell therapies with artificial intelligence and synthetic biology 利用人工智能和合成生物学推进细胞治疗

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-06-01 Epub Date: 2025-02-03 DOI: 10.1016/j.cobme.2025.100580

Mahima Choudhury , Annika J. Deans , Daniel R. Candland , Tara L. Deans

Artificial intelligence provides an exciting avenue to improve approaches in cell therapies by learning and predicting dynamic gene expression patterns from large datasets of stem cell differentiation. The integration of synthetic biology provides genetic tools that mimic the spatial and temporal expression patterns during differentiation, enhancing the potential to significantly improve differentiation outcomes and further our understanding of the mechanisms involved during cell fate decisions.

人工智能通过从干细胞分化的大型数据集中学习和预测动态基因表达模式，为改进细胞疗法提供了一条令人兴奋的途径。合成生物学的整合提供了可模仿分化过程中空间和时间表达模式的遗传工具，增强了显著改善分化结果的潜力，并进一步加深了我们对细胞命运决定过程中相关机制的理解。

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Emerging views of biomechanics via embedded sensors in model tissues: Pathways to the clinic 通过在模型组织中嵌入传感器的生物力学新观点：通往临床的途径

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-06-01 Epub Date: 2025-03-06 DOI: 10.1016/j.cobme.2025.100587

Alejandro Forigua , Benjamin E. Campbell , Christopher Moraes

Mechanical features of tissues have been recognised as key drivers of disease progression and are increasingly investigated as diagnostic and therapeutic targets. Engineered tissue models with integrated embedded biomechanical sensors have recently uncovered complex mechanical behaviors across micro- and nanoscale environments, offering novel insights into developmental and disease mechanisms. This short opinion synthesizes emerging mechanical signatures that have been identified at high measurement sensitivities and spatial resolutions by embedding customized biomechanical sensors into engineered tissues, particularly for soft tissue pathologies like cancer and fibrosis. We then describe the challenges of achieving these increased resolutions in clinical practice, and highlight recent innovative strategies that may ultimately bridge these gaps. If successful, these improved biomechanical measurement systems could open new pathways for improving diagnostics and patient outcomes.

组织的机械特征已被认为是疾病进展的关键驱动因素，并越来越多地作为诊断和治疗目标进行研究。集成嵌入式生物力学传感器的工程组织模型最近揭示了微观和纳米尺度环境下复杂的力学行为，为发育和疾病机制提供了新的见解。通过将定制的生物力学传感器嵌入工程组织，特别是针对癌症和纤维化等软组织病变，这种简短的意见综合了新兴的机械特征，这些特征已经在高测量灵敏度和空间分辨率下被识别出来。然后，我们描述了在临床实践中实现这些增加的解决方案的挑战，并强调了最近可能最终弥合这些差距的创新策略。如果成功，这些改进的生物力学测量系统将为改善诊断和患者预后开辟新的途径。

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Cell Niche Properties as Tuned by Physical Factors: ECM Proteins as Mechanochemical Switches 由物理因素调节的细胞生态位特性：ECM蛋白作为机械化学开关

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-05-17 DOI: 10.1016/j.cobme.2025.100600

Arnaud Miéville, Viola Vogel

The discovery that proteins can act as mechanochemical switches lies at the core of the new field of mechanobiology. Nanotools enabled to establish that structural changes induced by mechanical stress or mechano-regulated proteolytic activity alter the accessibility or presentation of binding sites and thereby modulate cellular functions. Current research highlights extracellular matrix (ECM) fiber tension as a powerful modulator of cell functions, with significant implications for tissue pathology and potential applications in clinical diagnostics and therapeutics. With the goal of developing mechanopharmaceuticals, this current opinion aims to discuss emerging insights into mechanochemical switches in the ECM and how alterations in their tensional states can influence cellular behavior and disease progression.

蛋白质可以作为机械化学开关的发现是机械生物学新领域的核心。纳米工具能够确定由机械应力或机械调节的蛋白水解活性引起的结构变化会改变结合位点的可及性或呈现，从而调节细胞功能。目前的研究强调细胞外基质（ECM）纤维张力作为细胞功能的强大调节剂，在组织病理学和临床诊断和治疗方面具有重要意义。以开发机械药物为目标，目前的观点旨在讨论ECM中机械化学开关的新见解，以及它们的张力状态的改变如何影响细胞行为和疾病进展。

引用次数: 0

3D fabrication of artificial cell microenvironments for mechanobiology 机械生物学人造细胞微环境的三维制造

IF 4.7 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-03-01 Epub Date: 2024-12-14 DOI: 10.1016/j.cobme.2024.100574

Annabelle Sonn , Caterina Tomba , Christine Selhuber-Unkel , Barbara Schamberger

Artificial scaffolds are indispensable tools in unraveling the complexity of mechanobiology under controlled conditions. Recent breakthroughs in microfabrication techniques for biological applications have revolutionized the field, enabling well-defined features that span from the subcellular to the multicellular scale. These methods particularly allow for unprecedented control of cell stimulation. This review will showcase research that combines such scaffolds with various stimulation techniques: mechanical stimulation, actuation by magnetic or electric fields, chemical stimulation, or manipulation by light. Additionally, it will introduce passive scaffolds that are actuated by the cells themselves. These systems help to understand forces applied by the cells to their environment and pave the way toward dynamic biohybrid, cell-based systems.

人工支架是在受控条件下揭示机械生物学复杂性的不可缺少的工具。生物微加工技术的最新突破彻底改变了这一领域，实现了从亚细胞到多细胞尺度的良好定义。这些方法尤其允许对细胞刺激进行前所未有的控制。本综述将展示将这种支架与各种刺激技术相结合的研究：机械刺激、磁场或电场驱动、化学刺激或光操纵。此外，它将引入由细胞本身驱动的被动支架。这些系统有助于理解细胞对其环境施加的力，并为动态生物杂交、基于细胞的系统铺平道路。

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