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Technologies and emerging trends in wearable biosensing. 可穿戴生物传感技术与新趋势。
3区 生物学 Q2 Biochemistry, Genetics and Molecular Biology Pub Date : 2025-01-01 Epub Date: 2025-07-21 DOI: 10.1016/bs.pmbts.2025.06.011
Stuti Ganatra, Nishita Bhanushali, Sumit Kosare, Hemangi Barot, Alok Pandya

This chapter examines advancements and future trajectories in wearable biosensing technologies, a multidisciplinary field encompassing healthcare, materials science, and information technology. Wearable biosensors are revolutionizing real-time physiological and biochemical monitoring with applications in personalized health monitoring, disease diagnosis, fitness, and therapeutic interventions. In addition to Internet of Things (IoT) and wireless connectivity technologies such as Bluetooth Low Energy (BLE) and 5G, which facilitate transparent remote monitoring and data exchange, other notable innovations such as machine learning and artificial intelligence enhance real-time processing of data, predictive analytics, and personalized healthcare solutions. While lab-on-skin technologies support non-invasive continuous diagnostics, nanomaterials such as graphene and quantum dots have significantly enhanced the sensitivity and efficiency of sensors. Future developments will address multimodal sensor systems for comprehensive health monitoring, augmented reality/virtual reality (AR/VR) integration, and sustainable and self-healing biosensors. However, challenges related to scalability, commercialization, and environmentally conscious design persist. Significant case studies on diabetic management through continuous glucose monitoring and workplace stress monitoring conclude the chapter, highlighting the transformative potential of wearable biosensors in occupational health and healthcare.

本章探讨了可穿戴生物传感技术的进步和未来发展轨迹,这是一个涵盖医疗保健、材料科学和信息技术的多学科领域。可穿戴生物传感器在个性化健康监测、疾病诊断、健身和治疗干预方面的应用正在彻底改变实时生理和生化监测。除了物联网(IoT)和无线连接技术(如低功耗蓝牙(BLE)和5G)可以促进透明的远程监控和数据交换之外,机器学习和人工智能等其他值得注意的创新还增强了数据的实时处理、预测分析和个性化医疗保健解决方案。虽然皮肤上的实验室技术支持非侵入性连续诊断,但石墨烯和量子点等纳米材料显著提高了传感器的灵敏度和效率。未来的发展将涉及用于全面健康监测的多模态传感器系统,增强现实/虚拟现实(AR/VR)集成,以及可持续和自我修复的生物传感器。然而,与可扩展性、商业化和环保设计相关的挑战仍然存在。通过持续血糖监测和工作场所压力监测进行糖尿病管理的重要案例研究结束了本章,强调了可穿戴生物传感器在职业健康和医疗保健方面的变革潜力。
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引用次数: 0
Preface. 前言。
3区 生物学 Q2 Biochemistry, Genetics and Molecular Biology Pub Date : 2025-01-01 DOI: 10.1016/S1877-1173(25)00044-4
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引用次数: 0
Ingestible biosensors for monitoring digestive health and nutritional monitoring. 用于监测消化健康和营养监测的可消化生物传感器。
3区 生物学 Q2 Biochemistry, Genetics and Molecular Biology Pub Date : 2025-01-01 Epub Date: 2025-07-16 DOI: 10.1016/bs.pmbts.2025.06.007
Malvika Shukla, Alok Pandya

Ingestible biosensors represent a transformative advancement in the field of personalized health monitoring, offering real-time insights into digestive health and nutritional status. These innovative devices, designed to travel through the gastrointestinal tract, are equipped with miniaturized sensors capable of detecting and analysing key biomarkers related to digestion and nutrient absorption. By providing continuous, non-invasive monitoring, ingestible biosensors enable early detection of gastrointestinal (GI) disorders, personalized dietary adjustments, and enhanced understanding of gut microbiota dynamics. This chapter reviews the recent developments in ingestible biosensor technology, highlighting their potential to revolutionize health care by offering a more comprehensive and dynamic assessment of an individual nutritional and digestive health, leading to improved outcomes and patient engagement.

可摄取的生物传感器代表了个性化健康监测领域的革命性进步,提供了对消化健康和营养状况的实时洞察。这些创新的设备,设计通过胃肠道,配备了微型传感器,能够检测和分析与消化和营养吸收相关的关键生物标志物。通过提供连续的、非侵入性的监测,可消化的生物传感器能够早期发现胃肠道(GI)疾病,进行个性化的饮食调整,并增强对肠道微生物群动态的理解。本章回顾了可消化生物传感器技术的最新发展,强调了它们通过提供更全面和动态的个人营养和消化健康评估来彻底改变医疗保健的潜力,从而改善了结果和患者参与度。
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引用次数: 0
Delivery of protein therapeutics and vaccines using their multivalent complexes with synthetic polyelectrolytes. 利用蛋白质治疗剂和疫苗的多价复合物与合成聚电解质的递送。
3区 生物学 Q2 Biochemistry, Genetics and Molecular Biology Pub Date : 2025-01-01 Epub Date: 2024-05-03 DOI: 10.1016/bs.pmbts.2024.04.005
Alexander K Andrianov

Clinical applications of protein and peptide-based therapeutics and vaccines are rapidly expanding. However, the development of promising new product candidates is often hindered by unfavorable pharmacokinetic profiles, which necessitate the implementation of drug delivery systems to improve protein stability and bioavailability. Non-covalent modification of proteins with synthetic polyelectrolytes, which relies on the strength of cooperative multivalent interactions, may offer potential advantages. In contrast to commonly employed covalent conjugation or microencapsulation methodologies, this technology offers dynamic protection of the protein thereby minimizing the loss of its biological activity, enabling "mix-and-match" formulation approaches, reducing manufacturing costs and simplifying regulatory processes. The range of potential life sciences applications ranges from immunopotentiation and vaccine delivery systems to long-circulating stealth biotherapeutics. This review analyses current technology in the context of intended clinical indications and discusses various synthetic and formulation approaches leading to supramolecular complexation. It evaluates dynamic interactions of complexes with constituents of physiological compartments and attempts to identify critical factors that can affect future advancement of this paradigm-shifting protein delivery technology.

基于蛋白质和肽的疗法和疫苗的临床应用正在迅速扩大。然而,有希望的新候选产品的开发往往受到不利的药代动力学特征的阻碍,这就需要实施药物输送系统来提高蛋白质的稳定性和生物利用度。用合成的聚电解质对蛋白质进行非共价修饰,这种修饰依赖于协同多价相互作用的强度,可能具有潜在的优势。与常用的共价偶联或微胶囊化方法相比,该技术提供了蛋白质的动态保护,从而最大限度地减少了其生物活性的损失,实现了“混合搭配”的配方方法,降低了制造成本并简化了监管过程。潜在的生命科学应用范围从免疫增强和疫苗输送系统到长期循环的隐形生物疗法。这篇综述分析了目前在临床适应症背景下的技术,并讨论了导致超分子络合的各种合成和配方方法。它评估了复合物与生理隔室成分的动态相互作用,并试图确定可能影响这种范式转移蛋白质递送技术未来发展的关键因素。
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引用次数: 0
Advanced energy storage systems as power sources for biosensing technologies. 作为生物传感技术动力源的先进储能系统。
3区 生物学 Q2 Biochemistry, Genetics and Molecular Biology Pub Date : 2025-01-01 Epub Date: 2025-05-31 DOI: 10.1016/bs.pmbts.2025.05.012
Clara R Pereira, André M Pereira, Joana S Teixeira, Ana R Sousa, Gabriela P Queirós, Rui S Costa, Marta S Nunes, Mariana Rocha

In recent years, the pursuit of efficient, reliable, customizable and sustainable power sources for wearable, ingestible and implantable (WII) biosensing technologies has intensified, aiming at effective energy management. This chapter overviews the recent developments on advanced energy storage systems for application as power sources in WII biosensing technologies. The progress in energy storage and harvesting technologies will be highlighted, ranging from batteries, supercapacitors and biofuel cells to wireless power transfer systems and self-powered energy harvesting/storage devices. Lastly, the key conclusions, current challenges, and future perspectives will be presented.

近年来,针对可穿戴、可摄入和可植入(WII)生物传感技术,对高效、可靠、可定制和可持续的电源的追求不断加强,旨在实现有效的能量管理。本章概述了先进储能系统在生物传感技术中作为电源的最新进展。能源储存和收集技术的进展将得到重点介绍,从电池、超级电容器和生物燃料电池到无线电力传输系统和自供电能量收集/存储设备。最后,将提出主要结论、当前挑战和未来展望。
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引用次数: 0
Biofluid-based biosensors: Analyzing biomarkers for disease detection. 基于生物流体的生物传感器:分析疾病检测的生物标志物。
3区 生物学 Q2 Biochemistry, Genetics and Molecular Biology Pub Date : 2025-01-01 Epub Date: 2025-05-03 DOI: 10.1016/bs.pmbts.2025.04.001
Hossein Chenani, Mohsen Saeidi, Abdolreza Simchi

The advancement of biofluid-based biosensors (BBs) generates significant interest owing to their capacity for non-invasive, real-time health assessment. These biosensors, proficient in assessing biomarkers in body fluids like sweat, saliva, interstitial fluid, tears, blood, and urine, provide significant benefits in illness detection and individualized healthcare. Recent breakthroughs in sensor technology, encompassing the incorporation of nanomaterials, microfluidics, and wearable electronics, have markedly enhanced the sensitivity, specificity, and portability of biosensors. This chapter examines different types of biosensors, elucidating their functions and applications in the monitoring of various diseases, including metabolic disorders, infectious diseases, and cancer. It also tackles critical issues in the development and implementation of BBs, including attaining long-term stability, standardizing sampling techniques, and confirming their clinical diagnostic efficacy. Current trends are examined, especially the use of artificial intelligence and data analytics for biosensor data interpretation. Finally, the chapter provides some thoughts on the possible integration of these technologies into telemedicine and wearable health devices and their prospects for the future of digital healthcare.

基于生物流体的生物传感器(BBs)的发展引起了极大的兴趣,因为它们具有非侵入性、实时健康评估的能力。这些生物传感器精通于评估体液中的生物标志物,如汗液、唾液、间质液、眼泪、血液和尿液,为疾病检测和个性化医疗保健提供了显著的好处。最近传感器技术的突破,包括纳米材料、微流体和可穿戴电子设备的结合,显著提高了生物传感器的灵敏度、特异性和可移植性。本章研究了不同类型的生物传感器,阐明了它们在各种疾病监测中的功能和应用,包括代谢紊乱、传染病和癌症。它还解决了开发和实施BBs的关键问题,包括实现长期稳定性,标准化采样技术,并确认其临床诊断功效。研究了当前的趋势,特别是使用人工智能和数据分析进行生物传感器数据解释。最后,本章提供了一些关于这些技术可能集成到远程医疗和可穿戴健康设备及其对未来数字医疗保健的前景的想法。
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引用次数: 0
Preface. 前言。
3区 生物学 Q2 Biochemistry, Genetics and Molecular Biology Pub Date : 2025-01-01 DOI: 10.1016/S1877-1173(25)00119-X
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引用次数: 0
Membrane-active peptides for anticancer therapies. 用于抗癌治疗的膜活性肽。
3区 生物学 Q2 Biochemistry, Genetics and Molecular Biology Pub Date : 2025-01-01 Epub Date: 2024-11-01 DOI: 10.1016/bs.pmbts.2024.10.005
Charles H Chen

Membrane-active peptides are found in many living organisms and play a critical role in their immune systems by combating various infectious diseases. These host defense peptides employ multiple mechanisms against different microorganisms and possess unique functions, such as anti-inflammatory and immunomodulatory effects, often working in synergy with other antimicrobial agents. Despite extensive research over the past few decades and the identification of thousands of sequences, only a few have been successfully applied in clinical settings and received approval from the U.S. Food and Drug Administration. In this chapter, we explore all peptide therapeutics that have reached the market, as well as candidates in preclinical and clinical trials, to understand their success and potential applications in cancer therapy. Our findings indicate that at least four membrane-active peptide drugs have progressed to preclinical or clinical phases, dmonstrating promising results for cancer treatment. We summarize our insights in this chapter, highlighting the potential of membrane-active anticancer peptide therapeutics and their applications as targeting ligands in various biomedical fields.

膜活性肽存在于许多生物体中,在其免疫系统中发挥着重要作用,通过抵抗各种传染病。这些宿主防御肽采用多种机制对抗不同的微生物,并具有独特的功能,如抗炎和免疫调节作用,通常与其他抗菌药物协同作用。尽管在过去的几十年里进行了广泛的研究,并鉴定了数千个序列,但只有少数成功地应用于临床环境,并获得了美国食品和药物管理局的批准。在本章中,我们探讨了所有已经进入市场的肽疗法,以及临床前和临床试验的候选药物,以了解它们在癌症治疗中的成功和潜在应用。我们的研究结果表明,至少有四种膜活性肽药物已经发展到临床前或临床阶段,在癌症治疗方面显示出有希望的结果。我们在本章中总结了我们的见解,强调了膜活性抗癌肽疗法的潜力及其作为靶向配体在各种生物医学领域的应用。
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引用次数: 0
Peptides on patrol: Carrier systems for targeted delivery. 巡逻中的多肽:靶向递送的载体系统。
3区 生物学 Q2 Biochemistry, Genetics and Molecular Biology Pub Date : 2025-01-01 Epub Date: 2025-01-30 DOI: 10.1016/bs.pmbts.2024.11.001
Vivek P Chavda, Joanna Bojarska

The peptide is a small unit of protein that exhibits a diverse range of therapeutic applications, including but not limited to respiratory, inflammatory, oncologic, metabolic and neurological disorders. Peptides also play a significant role in signal transduction in cells. This chapter focuses on the delivery of peptides through the utilization of various carrier molecules, including liposomes, micelles, polymeric nanoparticles, and inorganic materials. These carriers facilitate targeted delivery and site-specific delivery of peptides. Different nanocarriers and therapeutic drug molecules also help with the delivery of peptides. Application to various diseases and different routes of delivery are described in this manuscript, along with current limitations and future prospects.

肽是蛋白质的一个小单元,具有多种治疗用途,包括但不限于呼吸系统、炎症、肿瘤、代谢和神经系统疾病。肽还在细胞的信号转导中发挥着重要作用。本章重点介绍利用各种载体分子(包括脂质体、胶束、聚合物纳米颗粒和无机材料)递送多肽的方法。这些载体有助于肽的定向递送和特定部位递送。不同的纳米载体和治疗药物分子也有助于肽的输送。本手稿介绍了肽在各种疾病中的应用和不同的给药途径,以及目前的局限性和未来的前景。
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引用次数: 0
Peptidomimetics design and characterization: Bridging experimental and computer-based approaches. 拟态肽设计与表征:连接实验与计算机方法。
3区 生物学 Q2 Biochemistry, Genetics and Molecular Biology Pub Date : 2025-01-01 Epub Date: 2024-07-25 DOI: 10.1016/bs.pmbts.2024.07.002
Alice Romagnoli, Jesmina Rexha, Nunzio Perta, Samuele Di Cristofano, Noemi Borgognoni, Gloria Venturini, Francesco Pignotti, Domenico Raimondo, Tiziana Borsello, Daniele Di Marino

Peptidomimetics, designed to mimic peptide biological activity with more drug-like properties, are increasingly pivotal in medicinal chemistry. They offer enhanced systemic delivery, cell penetration, target specificity, and protection against peptidases when compared to their native peptide counterparts. Already utilized in treating diverse diseases like neurodegenerative disorders, cancer and infectious diseases, their future in medicine seems bright, with many peptidomimetics in clinical trials or development stages. Peptidomimetics are well-suited for addressing disturbed protein-protein interactions (PPIs), which often underlie various pathologies. Structural biology and computational methods like molecular dynamics simulations facilitate rational design, whereas machine learning algorithms accelerate protein structure prediction, enabling efficient drug development. Experimental validation via various spectroscopic, biophysical, and biochemical assays confirms computational predictions and guides further optimization. Peptidomimetics, with their tailored constrained structures, represent a frontier in drug design focused on targeting PPIs. In this overview, we present a comprehensive landscape of peptidomimetics, encompassing perspectives on involvement in pathologies, chemical strategies, and methodologies for their characterization, spanning in silico, in vitro and in cell approaches. With increasing interest from pharmaceutical sectors, peptidomimetics hold promise for revolutionizing therapeutic approaches, marking a new era of precision drug discovery.

拟肽化合物旨在模仿肽的生物活性,具有更多类似药物的特性,在药物化学中的作用日益重要。与原生肽类药物相比,拟肽药物具有更强的全身给药、细胞渗透、靶向特异性和抗肽酶能力。它们已被用于治疗神经退行性疾病、癌症和传染病等多种疾病,在医药领域的前景似乎一片光明,许多拟肽药物正处于临床试验或开发阶段。拟肽药物非常适合解决蛋白质-蛋白质相互作用(PPI)紊乱的问题,而这往往是各种病症的根源。结构生物学和计算方法(如分子动力学模拟)促进了合理设计,而机器学习算法则加快了蛋白质结构预测,从而实现了高效的药物开发。通过各种光谱、生物物理和生化测定进行的实验验证证实了计算预测,并指导进一步优化。拟肽类药物具有量身定制的受限结构,是以 PPIs 为靶点的药物设计的前沿领域。在本综述中,我们将全面介绍拟肽物,包括参与病理的角度、化学策略及其表征方法,涵盖硅学、体外和细胞方法。随着制药行业对多肽仿生学的兴趣与日俱增,多肽仿生学有望彻底改变治疗方法,开创精准药物发现的新纪元。
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引用次数: 0
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Progress in molecular biology and translational science
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