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Wearable upper limb robotics for pervasive health: a review 用于普及健康的可穿戴上肢机器人:综述
Q1 ENGINEERING, BIOMEDICAL Pub Date : 2023-03-23 DOI: 10.1088/2516-1091/acc70a
Chukwuemeka Ochieze, Soroush Zare, Ye Sun
Wearable robotics, also called exoskeletons, have been engineered for human-centered assistance for decades. They provide assistive technologies for maintaining and improving patients’ natural capabilities towards self-independence and also enable new therapy solutions for rehabilitation towards pervasive health. Upper limb exoskeletons can significantly enhance human manipulation with environments, which is crucial to patients’ independence, self-esteem, and quality of life. For long-term use in both in-hospital and at-home settings, there are still needs for new technologies with high comfort, biocompatibility, and operability. The recent progress in soft robotics has initiated soft exoskeletons (also called exosuits), which are based on controllable and compliant materials and structures. Remarkable literature reviews have been performed for rigid exoskeletons ranging from robot design to different practical applications. Due to the emerging state, few have been focused on soft upper limb exoskeletons. This paper aims to provide a systematic review of the recent progress in wearable upper limb robotics including both rigid and soft exoskeletons with a focus on their designs and applications in various pervasive healthcare settings. The technical needs for wearable robots are carefully reviewed and the assistance and rehabilitation that can be enhanced by wearable robotics are particularly discussed. The knowledge from rigid wearable robots may provide practical experience and inspire new ideas for soft exoskeleton designs. We also discuss the challenges and opportunities of wearable assistive robotics for pervasive health.
可穿戴机器人,也称为外骨骼,几十年来一直被设计用于以人为中心的辅助。它们提供辅助技术,以维持和提高患者的自然自我独立能力,并为康复提供新的治疗解决方案,以实现普遍健康。上肢外骨骼可以显著增强人类对环境的操作,这对患者的独立性、自尊和生活质量至关重要。为了在医院和家庭环境中长期使用,仍然需要具有高舒适性、生物相容性和可操作性的新技术。软机器人技术的最新进展开创了基于可控和柔顺材料和结构的软外骨骼(也称为外骨骼)。从机器人设计到不同的实际应用,对刚性外骨骼进行了引人注目的文献综述。由于这种新兴状态,很少有人关注上肢软外骨骼。本文旨在对可穿戴上肢机器人(包括刚性和柔性外骨骼)的最新进展进行系统综述,重点介绍其在各种普及医疗环境中的设计和应用。对可穿戴机器人的技术需求进行了仔细的审查,并特别讨论了可穿戴机器人可以增强的辅助和康复。来自刚性可穿戴机器人的知识可能会为软外骨骼设计提供实践经验和启发新想法。我们还讨论了可穿戴辅助机器人在普及健康方面的挑战和机遇。
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引用次数: 1
The creation of breast lesion models for mammographic virtual clinical trials: a topical review 乳腺病变模型的创建用于乳房x线摄影虚拟临床试验:局部回顾
Q1 ENGINEERING, BIOMEDICAL Pub Date : 2023-03-16 DOI: 10.1088/2516-1091/acc4fc
A. Van Camp, K. Houbrechts, L. Cockmartin, H. Woodruff, P. Lambin, N. Marshall, H. Bosmans
Simulated breast lesion models, including microcalcification clusters and masses, have been used in several studies. Realistic lesion models are required for virtual clinical trials to be representative of clinical performance. Multiple methods exist to generate breast lesion models with various levels of realism depending on the application. First, lesion models can be obtained using mathematical methods, such as approximating a lesion with 3D geometric shapes or using algorithmic techniques such as iterative processes to grow a lesion. On the other hand, lesion models can be based on patient data. They can be either created starting from characteristics of real lesions or they can be a replica of clinical lesions by segmenting real cancer cases. Next, various approaches exist to embed these lesions into breast structures to create tumour cases. The simplest method, typically used for calcifications, is intensity scaling. Two other common approaches are the hybrid and total simulation method, in which the lesion model is inserted into a real breast image or a 3D breast model, respectively. In addition, artificial intelligence-based approaches can directly grow breast lesions in breast images. This article provides a review of the literature available on the development of lesion models, simulation methods to insert them into background structures and their applications, including optimisation studies, performance evaluation of software and education.
模拟乳房病变模型,包括微钙化簇和肿块,已经在一些研究中使用。虚拟临床试验需要真实的病变模型来代表临床表现。根据不同的应用,存在多种方法来生成具有不同真实感水平的乳腺病变模型。首先,可以使用数学方法获得病变模型,例如用3D几何形状近似病变或使用迭代过程等算法技术来生长病变。另一方面,病变模型可以基于患者数据。它们可以从真实病变的特征开始创建,也可以通过分割真实癌症病例来复制临床病变。接下来,存在各种方法将这些病变嵌入乳房结构中以产生肿瘤病例。最简单的方法,通常用于钙化,是强度缩放。另外两种常见的方法是混合模拟法和全模拟法,分别将病变模型插入真实乳房图像或3D乳房模型中。此外,基于人工智能的方法可以直接在乳房图像中生长乳腺病变。本文对病变模型的发展、将其插入背景结构的仿真方法及其应用的文献进行了综述,包括优化研究、软件性能评估和教育。
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引用次数: 2
Soft robotics for physical simulators, artificial organs and implantable assistive devices. 用于物理模拟器、人造器官和植入式辅助装置的软机器人技术
IF 7.7 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2023-02-22 DOI: 10.1088/2516-1091/acb57a
Debora Zrinscak, Lucrezia Lorenzon, Martina Maselli, Matteo Cianchetti

In recent years, soft robotics technologies enabled the development of a new generation of biomedical devices. The combination of elastomeric materials with tunable properties and muscle-like motions paved the way toward more realistic phantoms and innovative soft active implants as artificial organs or assistive mechanisms. This review collects the most relevant studies in the field, giving some insights about their distribution in the past 10 years, their level of development and opening a discussion about the most commonly employed materials and actuating technologies. The reported results show some promising trends, highlighting that the soft robotics approach can help replicate specific material characteristics in the case of static or passive organs but also reproduce peculiar natural motion patterns for the realization of dynamic phantoms or implants. At the same time, some important challenges still need to be addressed. However, by joining forces with other research fields and disciplines, it will be possible to get one step closer to the development of complex, active, self-sensing and deformable structures able to replicate as closely as possible the typical properties and functionalities of our natural body organs.

近年来,软机器人技术推动了新一代生物医学设备的发展。具有可调特性的弹性体材料和肌肉状运动的结合为更逼真的模型和创新的软活性植入物作为人工器官或辅助机制铺平了道路。这篇综述收集了该领域最相关的研究,对它们在过去10年中的分布、发展水平提供了一些见解,并对最常用的材料和驱动技术展开了讨论。报告的结果显示了一些有希望的趋势,强调了软机器人方法可以帮助在静态或被动器官的情况下复制特定的材料特性,但也可以复制特殊的自然运动模式,以实现动态模型或植入物。与此同时,一些重要挑战仍然需要解决。然而,通过与其他研究领域和学科的合作,将有可能离开发复杂、主动、自感和可变形的结构更近一步,这些结构能够尽可能地复制我们自然身体器官的典型特性和功能。
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引用次数: 0
Neuromorphic bioelectronic medicine for nervous system interfaces: from neural computational primitives to medical applications 神经系统接口的神经形态生物电子医学:从神经计算原语到医学应用
Q1 ENGINEERING, BIOMEDICAL Pub Date : 2023-01-20 DOI: 10.1088/2516-1091/acb51c
Elisa Donati, G. Indiveri
Bioelectronic medicine treats chronic diseases by sensing, processing, and modulating the electronic signals produced in the nervous system of the human body, labeled ‘neural signals’. While electronic circuits have been used for several years in this domain, the progress in microelectronic technology is now allowing increasingly accurate and targeted solutions for therapeutic benefits. For example, it is now becoming possible to modulate signals in specific nerve fibers, hence targeting specific diseases. However, to fully exploit this approach it is crucial to understand what aspects of the nerve signals are important, what is the effect of the stimulation, and what circuit designs can best achieve the desired result. Neuromorphic electronic circuits represent a promising design style for achieving this goal: their ultra-low power characteristics and biologically plausible time constants make them the ideal candidate for building optimal interfaces to real neural processing systems, enabling real-time closed-loop interactions with the biological tissue. In this paper, we highlight the main features of neuromorphic circuits that are ideally suited for interfacing with the nervous system and show how they can be used to build closed-loop hybrid artificial and biological neural processing systems. We present examples of neural computational primitives that can be implemented for carrying out computation on the signals sensed in these closed-loop systems and discuss the way to use their outputs for neural stimulation. We describe examples of applications that follow this approach, highlight open challenges that need to be addressed, and propose actions required to overcome current limitations.
生物电子医学通过感应、处理和调节人体神经系统中产生的电子信号来治疗慢性疾病,这些信号被称为“神经信号”。虽然电子电路在这一领域已经使用了几年,但微电子技术的进步现在允许越来越准确和有针对性的治疗方案。例如,现在可以调节特定神经纤维中的信号,从而靶向特定疾病。然而,要充分利用这种方法,至关重要的是要了解神经信号的哪些方面是重要的,刺激的效果是什么,以及什么电路设计可以最好地实现期望的结果。神经形态电子电路代表了实现这一目标的一种很有前途的设计风格:其超低功率特性和生物学上合理的时间常数使其成为构建与真实神经处理系统的最佳接口的理想候选者,从而实现与生物组织的实时闭环交互。在本文中,我们强调了神经形态电路的主要特征,这些电路非常适合与神经系统接口,并展示了如何使用它们来构建闭环混合人工和生物神经处理系统。我们给出了可以实现的神经计算原语的例子,用于对这些闭环系统中感测到的信号进行计算,并讨论了将其输出用于神经刺激的方法。我们描述了遵循这种方法的应用程序示例,强调了需要解决的开放挑战,并提出了克服当前限制所需的行动。
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引用次数: 5
Active upper limb prostheses: a review on current state and upcoming breakthroughs. 主动上肢假体:现状及未来的突破
IF 7.7 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2023-01-06 DOI: 10.1088/2516-1091/acac57
Andrea Marinelli, Nicolò Boccardo, Federico Tessari, Dario Di Domenico, Giulia Caserta, Michele Canepa, Giuseppina Gini, Giacinto Barresi, Matteo Laffranchi, Lorenzo De Michieli, Marianna Semprini

The journey of a prosthetic user is characterized by the opportunities and the limitations of a device that should enable activities of daily living (ADL). In particular, experiencing a bionic hand as a functional (and, advantageously, embodied) limb constitutes the premise for promoting the practice in using the device, mitigating the risk of its abandonment. In order to achieve such a result, different aspects need to be considered for making the artificial limb an effective solution to accomplish ADL. According to such a perspective, this review aims at presenting the current issues and at envisioning the upcoming breakthroughs in upper limb prosthetic devices. We first define the sources of input and feedback involved in the system control (at user-level and device-level), alongside the related algorithms used in signal analysis. Moreover, the paper focuses on the user-centered design challenges and strategies that guide the implementation of novel solutions in this area in terms of technology acceptance, embodiment, and, in general, human-machine integration based on co-adaptive processes. We here provide the readers (belonging to the target communities of researchers, designers, developers, clinicians, industrial stakeholders, and end-users) with an overview of the state-of-the-art and the potential innovations in bionic hands features, hopefully promoting interdisciplinary efforts for solving current issues of upper limb prostheses. The integration of different perspectives should be the premise to a transdisciplinary intertwining leading to a truly holistic comprehension and improvement of the bionic hands design. Overall, this paper aims to move the boundaries in prosthetic innovation beyond the development of a tool and toward the engineering of human-centered artificial limbs.

义肢使用者的旅程的特点是机会和设备的局限性,应该使日常生活活动(ADL)。特别是,体验仿生手作为一个功能(并且,有利的是,具体化)肢体构成了促进使用该设备的实践的前提,减轻了其放弃的风险。为了达到这样的效果,需要考虑不同的方面,使假肢成为实现ADL的有效解决方案。基于这一观点,本文旨在介绍目前上肢假肢装置存在的问题,并展望未来的突破。我们首先定义了系统控制(用户级和设备级)中涉及的输入和反馈的来源,以及信号分析中使用的相关算法。此外,本文还重点介绍了以用户为中心的设计挑战和策略,这些挑战和策略指导了该领域在技术接受、实施以及基于共同适应过程的人机集成方面的新解决方案的实施。我们在这里为读者(属于研究人员、设计师、开发人员、临床医生、工业利益相关者和最终用户的目标群体)提供了仿生手特征的最新技术和潜在创新的概述,希望促进跨学科的努力来解决当前上肢假肢的问题。不同观点的整合应该是跨学科相互交织的前提,从而真正全面地理解和改进仿生手的设计。总体而言,本文旨在将假肢创新的界限从工具的开发转向以人为中心的假肢工程。
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引用次数: 0
The potential synergies between synthetic data and in silico trials in relation to generating representative virtual population cohorts 合成数据和计算机试验在产生具有代表性的虚拟人群队列方面的潜在协同作用
Q1 ENGINEERING, BIOMEDICAL Pub Date : 2023-01-03 DOI: 10.1088/2516-1091/acafbf
P. Myles, Johan Ordish, A. Tucker
In silico trial methods promise to improve the path to market for both medicines and medical devices, targeting the development of products, reducing reliance on animal trials, and providing adjunct evidence to bolster regulatory submissions. In silico trials are only as good as the simulated data which underpins them, consequently, often the most difficult challenge when creating robust in silico models is the generation of simulated measurements or even virtual patients that are representative of real measurements and patients. This article digests the current state of the art for generating synthetic patient data outside the context of in silico trials and outlines potential synergies to unlock the potential of in silico trials using virtual populations, by exploiting synthetic patient data to model effects on a more diverse and representative population. Synthetic data could be defined as artificial data that mimic the properties and relationships in real data. Recent advances in synthetic data generation methodologies have allowed for the generation of high-fidelity synthetic data that are both statistically and clinically, indistinguishable from real patient data. Other experimental work has demonstrated that synthetic data generation methods can be used for selective sample boosting of underrepresented groups. This article will provide a brief outline of synthetic data generation approaches and discuss how evaluation frameworks developed to assess synthetic data fidelity and utility could be adapted to evaluate the similarity of virtual patients used for in silico trials, to real patients. The article will then discuss outstanding challenges and areas for further research that would advance both synthetic data generation methods and in silico trial methods. Finally, the article will also provide a perspective on what evidence will be required to facilitate wider acceptance of in silico trials for regulatory evaluation of medicines and medical devices, including implications for post marketing safety surveillance.
计算机试验方法有望改善药品和医疗器械的上市途径,以产品开发为目标,减少对动物试验的依赖,并提供辅助证据,以支持提交监管文件。计算机试验的效果与支持它们的模拟数据一样好,因此,在创建健壮的计算机模型时,最困难的挑战通常是生成模拟测量结果,甚至是代表真实测量结果和患者的虚拟患者。本文概述了在计算机试验环境之外生成合成患者数据的最新技术,并概述了利用虚拟人群来释放计算机试验潜力的潜在协同作用,方法是利用合成患者数据对更多样化和更具代表性的人群进行建模。合成数据可以定义为模拟真实数据中的属性和关系的人工数据。合成数据生成方法的最新进展已经允许生成高保真的合成数据,这些数据在统计和临床方面都与真实的患者数据无法区分。其他实验工作已经证明,合成数据生成方法可以用于选择性样本增强代表性不足的群体。本文将简要概述合成数据生成方法,并讨论如何开发评估框架来评估合成数据的保真度和实用性,以评估用于计算机试验的虚拟患者与真实患者的相似性。然后,文章将讨论突出的挑战和进一步研究的领域,这将推进合成数据生成方法和硅试验方法。最后,本文还将提供一个视角,说明需要哪些证据来促进更广泛地接受用于药品和医疗器械监管评估的计算机试验,包括对上市后安全监督的影响。
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引用次数: 4
A perspective on electroencephalography sensors for brain-computer interfaces 脑机接口用脑电图传感器研究进展
Q1 ENGINEERING, BIOMEDICAL Pub Date : 2022-10-11 DOI: 10.1088/2516-1091/ac993d
F. Iacopi, Chin-Teng Lin
This Perspective offers a concise overview of the current, state-of-the-art, neural sensors for brain-machine interfaces, with particular attention towards brain-controlled robotics. We first describe current approaches, decoding models and associated choice of common paradigms, and their relation to the position and requirements of the neural sensors. While implanted intracortical sensors offer unparalleled spatial, temporal and frequency resolution, the risks related to surgery and post-surgery complications pose a significant barrier to deployment beyond severely disabled individuals. For less critical and larger scale applications, we emphasize the need to further develop dry scalp electroencephalography (EEG) sensors as non-invasive probes with high sensitivity, accuracy, comfort and robustness for prolonged and repeated use. In particular, as many of the employed paradigms require placing EEG sensors in hairy areas of the scalp, ensuring the aforementioned requirements becomes particularly challenging. Nevertheless, neural sensing technologies in this area are accelerating thanks to the advancement of miniaturised technologies and the engineering of novel biocompatible nanomaterials. The development of novel multifunctional nanomaterials is also expected to enable the integration of redundancy by probing the same type of information through different mechanisms for increased accuracy, as well as the integration of complementary and synergetic functions that could range from the monitoring of physiological states to incorporating optical imaging.
本展望提供了当前最先进的脑机接口神经传感器的简要概述,特别关注脑控制机器人。我们首先描述了当前的方法、解码模型和相关的通用范式选择,以及它们与神经传感器的位置和要求的关系。虽然植入的皮质内传感器提供了无与伦比的空间、时间和频率分辨率,但与手术和术后并发症相关的风险对严重残疾人群以外的应用构成了重大障碍。对于不那么关键和大规模的应用,我们强调需要进一步开发干性头皮脑电图(EEG)传感器作为非侵入性探针,具有高灵敏度,准确性,舒适性和耐用性,适合长时间和重复使用。特别是,由于许多使用的范例需要将EEG传感器放置在头皮的毛发区域,因此确保上述要求变得特别具有挑战性。然而,由于微型化技术的进步和新型生物相容性纳米材料的工程,这一领域的神经传感技术正在加速发展。新型多功能纳米材料的开发也有望通过不同机制探测相同类型的信息来提高准确性,从而实现冗余的整合,以及从生理状态监测到结合光学成像的互补和协同功能的整合。
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引用次数: 3
Polyaniline based polymers in tissue engineering applications: a review 聚苯胺基聚合物在组织工程中的应用综述
Q1 ENGINEERING, BIOMEDICAL Pub Date : 2022-09-21 DOI: 10.1088/2516-1091/ac93d3
R. Rai, J. Roether, A. Boccaccini
A number of electrically conducting polymers, such as polyaniline (PANi), as well as functionalized aniline copolymers and composites, which are simultaneously biodegradable and conductive, have been applied for developing electrically conductive scaffolds for tissue engineering (TE) in recent years. The rationale behind these scaffolds is to induce ‘electroactivity’ in scaffolds, as many research works have shown that an intrinsic electrical activity leads to both increased regeneration rates and improved healing of damaged tissues. PANi is the conductive polymer of choice because it is economical and easy to process with a variety of methods. The resultant PANi based biomaterials have shown biocompatibility, conductivity, suitable processability, positive cellular response, as well as an intrinsic antibacterial effect in numerous research studies. The analysis of the literature has revealed that PANi based scaffolds have been investigated for TE applications including skin/wound healing, bone, cartilage, nerve/spinal cord, vascular, skeletal muscle repair and for the treatment of infertility. Although PANi based materials find widespread applications in other sectors, they are still far away from being commercially exploited as scaffolds for TE despite positive research results. This review aims to discuss and critically assess the current state of PANi based TE scaffolds for different applications. A future perspective for utilizing PANi based biomaterials for applications in TE is discussed, including recent considerations about potential cytotoxic effects.
近年来,聚苯胺(PANi)、功能化苯胺共聚物及复合材料等具有生物可降解性和导电性的导电聚合物被广泛应用于组织工程(TE)导电支架的研制。这些支架背后的原理是在支架中诱导“电活动”,因为许多研究工作表明,固有的电活动既可以提高再生速度,又可以改善受损组织的愈合。聚苯胺是导电聚合物的首选,因为它经济且易于用多种方法加工。由此得到的聚苯胺基生物材料在许多研究中显示出生物相容性、导电性、适宜的可加工性、积极的细胞反应以及固有的抗菌作用。文献分析显示,聚苯胺基支架已被研究用于TE的应用,包括皮肤/伤口愈合、骨、软骨、神经/脊髓、血管、骨骼肌修复和不孕症的治疗。尽管聚苯胺基材料在其他领域得到了广泛的应用,但尽管取得了积极的研究成果,但它们距离作为TE支架进行商业开发还很遥远。本文旨在讨论和批判性地评估聚苯胺基TE支架在不同应用中的现状。讨论了利用聚苯胺基生物材料在TE中的应用的未来前景,包括最近对潜在细胞毒性作用的考虑。
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引用次数: 7
Locomotor adaptations: paradigms, principles and perspectives 运动适应:范例、原则和观点
Q1 ENGINEERING, BIOMEDICAL Pub Date : 2022-09-13 DOI: 10.1088/2516-1091/ac91b6
G. Severini, M. Zych
The term ‘locomotor adaptations’ (LMA) indicates the alteration in motor commands that is automatically or volitionally generated in response to a perturbation continuously altering the task demands of locomotion. LMAs have been widely studied, using a variety of experimental paradigms and analysis techniques. The perturbation can be expected or unexpected and constituted by a change in the movement environment, by forces actively pushing the person’s body segments, by a modification in the sensory feedback associated with the task or by explicit task instructions. The study of LMAs has been key in widening our understanding of the principles regulating bipedal locomotion, from the overall strategies driving the short-term adjustments of motor commands, down to the different neural circuits involved in the different aspects of locomotion. In this paper we will provide an in-depth review of the research field of LMAs. We will start with an analysis of the principles driving the evolution of bipedal locomotion in humans. Then we will review the different experimental paradigms that have been used to trigger LMAs. We will analyze the evidence on the neurophysiological correlates of adaptation and the behavioral reasons behind it. We will then discuss the characteristics of LMA such as transfer, generalization, and savings. This will be followed by a critical analysis of how different studies point to different task-goal related drivers of adaptation. Finally, we will conclude with a perspective on the research field of LMAs and on its ramifications in neuroscience and rehabilitation.
术语“运动适应”(LMA)表示运动命令的改变,该改变是响应于不断改变运动任务需求的扰动而自动或自愿产生的。LMA已经被广泛研究,使用了各种实验范式和分析技术。扰动可以是预期的或出乎意料的,并且由运动环境的变化、主动推动人的身体部位的力、与任务相关的感觉反馈的修改或明确的任务指令构成。LMA的研究是拓宽我们对调节两足动物运动原理的理解的关键,从驱动运动命令短期调整的整体策略,到运动不同方面涉及的不同神经回路。在本文中,我们将对LMA的研究领域进行深入的综述。我们将从分析驱动人类两足运动进化的原理开始。然后,我们将回顾用于触发LMA的不同实验范式。我们将分析适应的神经生理学相关性及其背后的行为原因的证据。然后我们将讨论LMA的特征,如转移、泛化和储蓄。接下来将对不同的研究如何指向不同的任务目标相关的适应驱动因素进行批判性分析。最后,我们将对LMA的研究领域及其在神经科学和康复中的影响进行展望。
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引用次数: 2
Photosymbiotic tissue engineering and regeneration. 光共生组织工程与再生
IF 7.7 Q1 ENGINEERING, BIOMEDICAL Pub Date : 2022-09-06 DOI: 10.1088/2516-1091/ac8a2f
Sushila Maharjan, Diana Priscills Bonilla-Ruelas, Gorka Orive, Yu Shrike Zhang

As the field of tissue engineering and regenerative medicine progresses, the possibility for artificial organs to restore normal tissue functions seems to become more feasible. However, a major challenge in the long-term culture of the engineered tissues is the lack of adequate oxygenation. The photosynthetic supply of oxygen (O2) for tissues and organs using photoautotrophic microorganisms has been explored recently in bothin vitroandin vivostudies. The biofabrication of photosymbiotic scaffolds using biomaterials, photosynthetic microorganisms, and human cells has shown constant generation of O2in response to light illumination while avoiding hypoxic conditions. This emerging strategy of photosymbiotic oxygenation is potentially an attractive approach to overcome the need of adequate oxygenation in tissue engineering and regenerative medicine. This Perspective aims to present an overview on the applications of photoautotrophic microorganism-enabled oxygenation strategies for overcoming hypoxia-related challenges in tissue engineering and regenerative medicine.

随着组织工程和再生医学领域的发展,人工器官恢复正常组织功能的可能性似乎变得更加可行。然而,工程组织的长期培养中的一个主要挑战是缺乏足够的氧合。最近,在体外和体内研究中,都对利用光自养微生物为组织和器官提供光合氧气(O2)进行了探索。使用生物材料、光合微生物和人类细胞的光共生支架的生物制造表明,在避免缺氧条件的同时,光照会不断产生O2。这种新兴的光共生氧合策略可能是一种有吸引力的方法,可以克服组织工程和再生医学中对充分氧合的需求。该观点旨在概述光自养微生物氧合策略在组织工程和再生医学中克服缺氧相关挑战的应用。
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引用次数: 0
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Progress in biomedical engineering (Bristol, England)
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