Biomedical engineering advances最新文献_第4页

Corrigendum to “Exploring Therapeutic Strategies for Androgen-Independent Prostate Cancer Using a Magnetic Coculture Platform” [Biomedical Engineering Advances Volume 9 (2025) Pages 2-6/Article 100144] “使用磁性共培养平台探索雄激素非依赖性前列腺癌的治疗策略”的勘误表[生物医学工程进展卷9（2025）页2-6/文章100144]

Biomedical engineering advances

Pub Date : 2025-06-01 DOI: 10.1016/j.bea.2025.100182

Anjani Chavali , Giles Fitzwilliams , Adam Germain , Sandra Khuon , Young-tae Kim

引用次数: 0

Alternate inter-digit finger tapping pattern resembles rudimentary finger grasping pattern 手指间交替敲击模式类似于基本的手指抓握模式

Biomedical engineering advances

Pub Date : 2025-06-01 DOI: 10.1016/j.bea.2025.100183

Stefan Manoharan , June Seung Lee , Hangue Park

Neurotraumas often result in loss of finger grasping ability, thereby deteriorating quality of life. To develop effective rehabilitation method for finger grasping, objective evaluation metrics of grasping capability is a basic requirement. However, current evaluation methods for grasping confront challenges with their non-rhythmic nature and limited sample size, resulting in low statistical power and high variability. Finger tapping may shed light on this issue, based on its rhythmic nature and a common underlying mechanism between rhythmic finger tapping and rudimentary finger grasping. In this study, we investigated “phase difference” at inter-digit finger tapping, which indicates a deviation from the temporal symmetry of inter-digit tapping and potentially reflects a rudimentary finger grasping pattern. This was accomplished by analysing the metacarpophalangeal (MCP) angle of subjects’ fingers, measured by an infrared hand-motion sensor, during finger-tapping tasks. Subjects performed alternate or simultaneous rhythmic tapping tasks between two adjacent fingers among the thumb, index, and middle fingers while the MCP angle for the fingers was measured. Using the oscillating nature of the MCP angles for each finger, we established phase difference as a metric to describe relative interdigital motion. We identified congruency in phase difference between the alternate inter-digit tapping pattern and the rudimentary grasping pattern. Experimental results with phase analysis suggest that alternate inter-digit tapping, which is a rhythmic and intuitive task, is strongly correlated with the rudimentary grasping in kinematics, while the simultaneous tapping is not. Accordingly, we predict potential applications of alternate inter-digit finger tapping and its metrics in grasping diagnostics and rehabilitation monitoring.

神经创伤常导致手指抓握能力丧失，从而使生活质量下降。为了开发有效的手指抓握康复方法，客观的抓握能力评价指标是基本要求。然而，现有的抓取评价方法存在非韵律性和样本量有限的问题，导致统计能力低、变异性大。基于有节奏的本质以及有节奏的手指敲击和基本的手指抓握之间的共同潜在机制，手指敲击可能会揭示这个问题。在这项研究中，我们研究了手指间敲击时的“相位差”，这表明手指间敲击的时间对称性存在偏差，可能反映了一种基本的手指抓握模式。这是通过分析实验对象手指的掌指关节（MCP）角度来完成的，该角度由红外手部运动传感器测量，在手指敲击任务中。受试者在拇指、食指和中指相邻的两个手指之间交替或同时进行有节奏的敲击任务，同时测量手指的MCP角。利用每个手指的MCP角度的振荡特性，我们建立了相位差作为描述相对指间运动的度量。我们发现交替的手指敲击模式和初级抓取模式之间的相位差是一致的。相位分析的实验结果表明，手指间交替叩叩是一种有节奏的、直观的任务，在运动学上与初级抓取密切相关，而同时叩叩则不相关。因此，我们预测交替手指间敲击及其指标在抓取诊断和康复监测中的潜在应用。

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引用次数: 0

Automated detection of hard exudates in retinal fundus images for diabetic retinopathy screening using textural-based radon transform and morphology reconstruction 基于纹理的氡变换和形态学重建的糖尿病视网膜病变视网膜眼底图像硬渗出物自动检测

Biomedical engineering advances

Pub Date : 2025-05-21 DOI: 10.1016/j.bea.2025.100180

Esmat Ramezanzadeh , Naser Shoeibi , Akram Feizabadi , Touka Banaee , Mohammad Hossein Bahreyni Tussi , Meysam Tavakoli

Background

Diabetic retinopathy (DR) screening requires accurate detection of hard exudates (HEs) in retinal images. This study presents a novel method that integrates textural-based Radon transform (RT) with morphological image processing techniques to automate the detection and segmentation of HEs in color fundus photography (CFP) images. By enhancing the diagnostic capabilities for DR, this approach aims to provide ophthalmologists with a reliable and efficient tool for identifying early signs of vascular damage associated with diabetes.

Method

The proposed algorithm was evaluated on two datasets, DIARETDB1 (89 images) and MUMS-DB (32 images). We developed an automated method for detecting HEs in CFP images. The approach involves a comprehensive framework comprising preprocessing, main processing, feature extraction, and post-processing. Key techniques include Radon transform for optical disc, vessels and soft and hard exudate feature extraction, and morphological reconstruction for enhancing detection accuracy. We employed Kirsch edge detection to distinguish HEs based on edge sharpness and utilized Top-Hat transformation to highlight small-scale features. The method integrates clinical expertise with computational techniques to differentiate between morphologically similar lesions. Performance was assessed through classification and pixel-based classification. metrics.

Results

The proposed algorithm demonstrated high performance in pixel-based classification, achieving best sensitivity of 92 %, and specificity 100 %. In lesion-based classification, the model achieved 100 % sensitivity and 100 % specificity on MUMS-DB datasets in the best case.

Conclusion

This integrated methodology successfully addresses the challenging task of differentiating between morphologically similar lesions, representing a significant advancement in automated DR screening. While performance varied between datasets, the results demonstrate strong potential for clinical application.

背景：糖尿病视网膜病变（DR）筛查需要准确检测视网膜图像中的硬渗出物（HEs）。本文提出了一种将基于纹理的Radon变换（RT）与形态学图像处理技术相结合的方法，用于彩色眼底摄影（CFP）图像中he的自动检测和分割。通过提高DR的诊断能力，该方法旨在为眼科医生提供一种可靠而有效的工具，以识别与糖尿病相关的血管损伤的早期迹象。方法在DIARETDB1（89张图像）和MUMS-DB（32张图像）两个数据集上对该算法进行评价。我们开发了一种自动检测CFP图像中he的方法。该方法涉及一个包括预处理、主处理、特征提取和后处理的综合框架。关键技术包括光盘Radon变换、血管及软硬渗出物特征提取、形态重构等，以提高检测精度。我们利用Kirsch边缘检测基于边缘清晰度来区分HEs，利用Top-Hat变换来突出小尺度特征。该方法将临床专业知识与计算技术相结合，以区分形态相似的病变。通过分类和基于像素的分类来评估性能。指标。结果该算法在基于像素的分类中表现优异，灵敏度为92%，特异度为100%。在基于病变的分类中，在最佳情况下，该模型在MUMS-DB数据集上实现了100%的灵敏度和100%的特异性。该综合方法成功地解决了区分形态学相似病变的挑战性任务，代表了自动化DR筛查的重大进步。虽然不同数据集的表现不同，但结果显示了临床应用的强大潜力。

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引用次数: 0

Simulated uterine contractions: Graph theory and connectivity-based analysis of EHG signals 模拟子宫收缩：图论和基于连接的EHG信号分析

Biomedical engineering advances

Pub Date : 2025-05-16 DOI: 10.1016/j.bea.2025.100178

Kamil Bader Eldine , Noujoud Nader , Mohamad Khalil , Catherine Marque

Preterm labor represents the prominent cause of mortality and morbidity, highlighting the important need for improved preterm contraction prediction and management. One promising approach to resolving this challenge is to analyze the electrohysterographic (EHG) signal, which records the electrical activity regulating uterine contractions. Analyzing the features of the EHG signal contributes valuable data to detect labor. In this paper, we propose a new framework using simulated EHG signals to identify features sensitive to uterine connectivity. We focus on EHG signal propagation during labor, recorded by multiple electrodes. We simulated EHG signals in different groups to determine which connectivity methods and graph parameters best represent the two main factors driving uterine synchronization: short-distance propagation (via electrical diffusion, ED) and long-distance synchronization (via mechanotransduction, EDM). Using the uterine model, signals were first simulated using just electrical diffusion by modifying the tissue resistance; second, signals were simulated using ED and mechanotransduction by holding the tissue resistance constant and varying the model parameters that affect mechanotransduction. We used the bipolar technique to construct our simulated EHGs by modeling a matrix of 16 surface electrodes organized in a 4 × 4 matrix placed on the pregnant woman’s abdomen. Our results show that even a simplified electromechanical model can be useful for monitoring uterine synchronization using simulated EHG signals. The differences seen between the selection performed by Fscore on real and simulated EHG signals show that when employing the mean function, the best features are H2(Str), FW_h2 alone, and in combination with PR, BC, and CC. The best characteristics that demonstrate a shift in the mechanotransduction process are H2 alone or in combination with Str, R2(PR), and ICOH(Str). The best characteristics that demonstrate a shift in electrical diffusion are H2 alone and in combination with Eff, PR, and BC.

早产是死亡率和发病率的主要原因，因此需要改进早产预测和管理。解决这一挑战的一个有希望的方法是分析子宫电图（EHG）信号，它记录了调节子宫收缩的电活动。分析脑电图信号的特征为检测胎儿提供了有价值的数据。在本文中，我们提出了一个新的框架，使用模拟EHG信号来识别子宫连通性敏感的特征。我们关注的是分娩过程中EHG信号的传播，由多个电极记录。我们模拟了不同组的EHG信号，以确定哪种连接方法和图形参数最能代表驱动子宫同步的两个主要因素：短距离传播（通过电扩散，ED）和远距离同步（通过机械传导，EDM）。在子宫模型中，首先通过改变组织阻力，仅通过电扩散模拟信号；其次，通过保持组织阻力恒定和改变影响机械传导的模型参数，利用ED和机械传导模拟信号。我们使用双极技术通过模拟放置在孕妇腹部的16个表面电极组成的4 × 4矩阵来构建我们的模拟EHGs。我们的研究结果表明，即使是简化的机电模型也可以利用模拟的EHG信号来监测子宫同步。Fscore对真实和模拟EHG信号的选择之间的差异表明，当使用平均函数时，最佳特征是H2(Str)， FW_h2单独以及与PR， BC和CC联合使用。在机械转导过程中，最佳特征是H2单独或与Str， R2（PR）和ICOH（Str）联合使用。表明电扩散变化的最佳特征是H2单独和与Eff， PR和BC结合。

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引用次数: 0

Robust and sparse estimator for EEG source localization 脑电信号源定位的鲁棒稀疏估计

Biomedical engineering advances

Pub Date : 2025-05-14 DOI: 10.1016/j.bea.2025.100177

Teja Mannepalli , Aurobinda Routray

EEG source localization involves reconstructing brain activity from observed EEG measurements, a critical task for diagnosing various neurological disorders. The distributed approach to this problem is inherently ill-posed, posing significant challenges. In this study, we present a sparsity-controlled Lorentzian norm-based method for EEG source localization. This approach effectively balances robustness to measurement noise and sparsity in the solution.

The proposed method employs a non-linear conjugate gradient descent algorithm to minimize the loss function, where the Lorentzian norm replaces the conventional

ℓ_{2}

norm. The Lorentzian norm’s unique ability to handle impulsive noise ensures precise estimation of active sources, even under challenging conditions. Comparative analyses with

ℓ_{2}

,

ℓ_{1}

and

ℓ_{p}, p < 1

norm-based methods highlight the Lorentzian norm’s superior robustness and sparsity control. The results demonstrate that this novel approach improves the accuracy and reliability of EEG source localization, making it a valuable tool for medical applications.

脑电图源定位涉及从观察到的脑电图测量中重建大脑活动，这是诊断各种神经系统疾病的关键任务。解决这个问题的分布式方法本质上是病态的，带来了重大的挑战。在这项研究中，我们提出了一种稀疏控制的基于洛伦兹范数的脑电信号源定位方法。这种方法有效地平衡了解决方案中测量噪声和稀疏性的鲁棒性。该方法采用非线性共轭梯度下降算法最小化损失函数，用洛伦兹范数代替传统的l2范数。洛伦兹范数处理脉冲噪声的独特能力确保了即使在具有挑战性的条件下也能精确估计有源。与基于l2， p1和p1范数的方法的比较分析表明，Lorentzian范数具有较好的鲁棒性和稀疏性控制。结果表明，该方法提高了脑电信号源定位的准确性和可靠性，为医学应用提供了有价值的工具。

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引用次数: 0

State-of-the-art fall detection techniques with emphasis on floor-based systems—A review 最先进的跌倒检测技术，重点是基于地板的系统-综述

Biomedical engineering advances

Pub Date : 2025-05-12 DOI: 10.1016/j.bea.2025.100179

Amrit Pal Kaur , Ejay Nsugbe , Amy Drahota , Matthew Oldfield , Iman Mohagheghian , Radu A. Sporea

The Arthritis patients and aging population has challenged society to develop safer, independent living environments. Falls, associated injuries, and delays in fall treatment are major causes of morbidity and death in older adults. Therefore, fall detection systems are fundamental to reducing fall risks and building safer environments. Designing fall detection systems is an emerging field of research. The development of the system relies on a sensing mechanism, processing unit, and communication to alert the emergency facilities. Each module is crucial in providing a cost-effective, accurate, reliable, and robust solution. Technological advancements in fall detection systems, particularly wearable and non-wearable devices, offer promising solutions. Wearable systems are prevalent due to their cost-effectiveness and ease of installation, but they can be unreliable if not worn consistently. Non-wearable systems, including smart flooring, provide continuous monitoring but are expensive and complex to maintain. This article reviews the development and deployment of fall detection technologies, examining their practical limitations and emphasizing floor-based detection systems as a viable solution for fostering independent living among older adults.

关节炎患者和人口老龄化对社会发展更安全、独立的生活环境提出了挑战。跌倒、相关损伤和跌倒治疗延误是老年人发病和死亡的主要原因。因此，坠落探测系统对于减少坠落风险和建立更安全的环境至关重要。设计跌落检测系统是一个新兴的研究领域。该系统的开发依靠传感机构、处理单元和通信来向应急设施发出警报。每个模块对于提供经济高效、准确、可靠和强大的解决方案至关重要。跌倒检测系统的技术进步，特别是可穿戴和非可穿戴设备，提供了有前途的解决方案。可穿戴系统因其成本效益和易于安装而普遍存在，但如果不经常佩戴，它们可能不可靠。包括智能地板在内的非可穿戴系统提供持续监控，但维护起来既昂贵又复杂。本文回顾了跌倒检测技术的发展和部署，研究了它们的实际局限性，并强调基于地板的检测系统是促进老年人独立生活的可行解决方案。

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引用次数: 0

Advanced biomedical imaging for identifying blood cell type: Integrating segmentation, feature extraction, and GraphSAGE model 用于识别血细胞类型的高级生物医学成像：整合分割、特征提取和GraphSAGE模型

Biomedical engineering advances

Pub Date : 2025-05-08 DOI: 10.1016/j.bea.2025.100174

Nur Mohammad Fahad , Mohaimenul Azam Khan Raiaan , Arefin Ittesafun Abian , Ripon Kumar Debnath , Sidratul Montaha , Mirjam Jonkman , Sami Azam

Background

The analysis of blood, including red blood cells (RBC) and different types of white blood cells (WBCs) plays a major role in the diagnosis of certain diseases. Automated segmentation of blood cells and their components can assist clinicians in effectively making diagnoses; however, it is quite challenging Objective: This study proposes a computerized approach to assessing the significance of biomedical imaging. It presents a framework for segmenting blood cells as well as their nuclei from the histopathological images of multiple datasets. Additionally, a custom algorithm is developed for blood cell counting.

Methods

This study introduces two automated methods for WBC analysis, including image segmentation to distinguish between WBCs and RBCs, the nuclei of the WBC, and classifying WBC types using clinically important features. An effective segmentation approach with image preprocessing algorithms is developed for automatic counting of WBCs and RBCs. An improved GraphSAGE model is constructed to classify blood cells. Clinically relevant features are extracted from segmented WBCs and nuclei for a final dataset. Feature ranking analysis identifies optimal features and reduces dimensionality, aiding graph dataset construction based on data similarity.

Results

Our proposed model achieved an accuracy of 96.67 %. A comparative analysis with benchmark models is done to assess the effectiveness of the model. The explainability of the model is addressed to enhance the transparency of the diagnostic system and provide insight into the decision-making process.

Conclusion

Leveraging the automated, simultaneous segmentation of blood cells and exploring their relationships for effective classification substantially helps to improve the reliability and applicability of this diagnostic system and aid clinicians.

血液分析，包括红细胞（RBC）和不同类型的白细胞（wbc），在某些疾病的诊断中起着重要作用。血细胞及其成分的自动分割可以帮助临床医生有效地进行诊断；目的：本研究提出了一种评估生物医学成像意义的计算机方法。它提出了从多个数据集的组织病理学图像中分割血细胞及其细胞核的框架。此外，还开发了血细胞计数的自定义算法。方法本研究介绍了两种自动分析白细胞的方法，包括区分白细胞和红细胞的图像分割、白细胞的细胞核和利用临床重要特征对白细胞进行分类。提出了一种利用图像预处理算法实现白细胞和红细胞自动计数的有效分割方法。构建了改进的GraphSAGE模型对血细胞进行分类。从分割的白细胞和细胞核中提取临床相关特征作为最终的数据集。特征排序分析识别最优特征并降低维数，帮助基于数据相似度的图数据集构建。结果该模型的准确率为96.67%。并与基准模型进行了对比分析，以评估模型的有效性。该模型的可解释性是为了提高诊断系统的透明度，并提供洞察决策过程。结论利用血细胞的自动、同步分割并探索它们之间的关系来进行有效的分类，大大提高了该诊断系统的可靠性和适用性，并有助于临床医生。

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引用次数: 0

Stem cells in regenerative medicine: Unlocking therapeutic potential through stem cell therapy, 3D bioprinting, gene editing, and drug discovery 再生医学中的干细胞：通过干细胞治疗、3D生物打印、基因编辑和药物发现释放治疗潜力

Biomedical engineering advances

Pub Date : 2025-05-03 DOI: 10.1016/j.bea.2025.100172

Idris Zubairu Sadiq , Fatima Sadiq Abubakar , Babangida Sanusi Katsayal , Bashiru Ibrahim , Auwal Adamu , Mohammed Aliyu Usman , Mukhtar Aliyu , Mukhtar Adeiza Suleiman , Aliyu Muhammad

Stem Cells (SCs) have become potentially instrumental in addressing many human diseases such as cancer, diabetes, age-related diseases and tissue defects. The unique ability of SCs to multiply indefinitely and differentiate into various cell types makes them invaluable in regenerative medicine and treatment. Regenerative medicine is an advancing field that focuses on restoring tissue and organ function in individuals with severe injuries and chronic illnesses. Pluripotent cells, capable of adopting roles from any of the three germ layers, exhibit exceptional versatility and are promising for a wide range of medical conditions. They also offer a solution to limitations posed by animal models in understanding specific disorders. Recent breakthroughs have shown that combining SCs with cutting-edge technologies like 3D bioprinting and 3D culture systems can revolutionize tissue engineering and organ regeneration. 3D bioprinting allows precise construction of complex tissue structures, bringing us closer to recreating functional organs for transplantation. Moreover, the integration of SCs with gene editing techniques presents unprecedented opportunities for precise genetic modification, correcting disease-causing mutations and opening avenues for personalized therapies. In addition, SCs play an important role in drug discovery and testing, serving as valuable models for studying disease mechanisms and screening potential therapeutic biomolecules. This paper provides a comprehensive exploration of SCs, transcription factors, diverse therapeutic applications of these cells as well as their role in the fields of tissue engineering, 3D bioprinting, 3D culture systems, gene editing, disease modeling, and drug discovery and testing.

干细胞（SCs）已成为治疗许多人类疾病的潜在工具，如癌症、糖尿病、与年龄有关的疾病和组织缺陷。SCs无限增殖和分化成各种细胞类型的独特能力使其在再生医学和治疗中具有不可估量的价值。再生医学是一个新兴的领域，其重点是恢复严重损伤和慢性疾病患者的组织和器官功能。多能细胞，能够从三种胚层中的任何一种发挥作用，表现出非凡的多功能性，并有望用于广泛的医疗条件。它们还为动物模型在理解特定疾病方面的局限性提供了解决方案。最近的突破表明，将SCs与3D生物打印和3D培养系统等尖端技术相结合，可以彻底改变组织工程和器官再生。3D生物打印可以精确构建复杂的组织结构，使我们更接近于重建用于移植的功能器官。此外，SCs与基因编辑技术的结合为精确的基因修饰、纠正致病突变和个性化治疗开辟了前所未有的机会。此外，SCs在药物发现和测试中发挥着重要作用，为研究疾病机制和筛选潜在的治疗生物分子提供了有价值的模型。本文全面探讨了SCs、转录因子、这些细胞的多种治疗应用以及它们在组织工程、3D生物打印、3D培养系统、基因编辑、疾病建模和药物发现和测试等领域的作用。

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引用次数: 0

In silico model of mechano-biochemical bone remodeling characterizes the therapeutic effects of osteoporosis drugs depending on the action mechanism 机械-生化骨重塑的计算机模型根据作用机制表征了骨质疏松药物的治疗效果

Biomedical engineering advances

Pub Date : 2025-05-02 DOI: 10.1016/j.bea.2025.100176

Yoshitaka Kameo , Kei Imai , Yuki Miya , Young Kwan Kim , Taiji Adachi

Osteoporosis stems from an imbalance between bone resorption and formation during bone remodeling, a mechano-biochemical coupling event that intercellular signaling regulates among the bone cells in response to the mechanical environment. Osteoporosis treatment necessitates the modulation of impaired bone remodeling by drug administration to restore an appropriate balance in bone resorption–formation. Characterizing the therapeutic effects of osteoporosis drugs based on their molecular mechanisms of action is crucial to prevent adverse effects and improve the therapeutic efficacy. Herein, we characterized the therapeutic effects of osteoporosis drugs using an in silico model of mechano-biochemical bone remodeling, enabling examination of its spatial and temporal behaviors. We conducted computer simulations to assess osteoporosis drug treatments using two drugs with different mechanisms of action: an anti-receptor activator of nuclear factor-κB ligand (RANKL) antibody (denosumab) and a RANKL production inhibitor. Both drugs restored functionally-adapted trabecular bone morphology when dosages were appropriately adjusted. However, denosumab exhibited more stable therapeutic effects despite dosage changes in osteoporosis treatment. Thus, our medication simulation effectively depicted the therapeutic effects of osteoporosis drugs, illustrating their efficacy based on their mechanisms of action. We expect that medication simulations utilizing an in silico model of mechano-biochemical bone remodeling will expedite the drug discovery process by thoroughly analyzing molecular, cellular, tissue, and organ dynamics during drug treatment.

骨质疏松症源于骨重塑过程中骨吸收和骨形成之间的不平衡，这是一种机械-生化耦合事件，骨细胞之间的细胞间信号调节是对机械环境的反应。骨质疏松症的治疗需要通过给药来调节受损的骨重塑，以恢复骨吸收形成的适当平衡。基于分子作用机制来表征骨质疏松药物的治疗效果对预防不良反应和提高治疗效果至关重要。在此，我们使用机械-生化骨重塑的计算机模型来表征骨质疏松药物的治疗效果，从而检查其空间和时间行为。我们通过计算机模拟评估了两种不同作用机制的药物对骨质疏松症的治疗效果：一种是核因子-κB配体抗受体激活剂（RANKL）抗体（denosumab），另一种是RANKL产生抑制剂。当剂量适当调整时，两种药物都能恢复功能适应的小梁骨形态。然而，denosumab在骨质疏松症治疗中，尽管剂量变化，但疗效更稳定。因此，我们的药物模拟有效地描述了骨质疏松药物的治疗效果，说明了其基于作用机制的疗效。我们期望利用机械-生化骨重塑的硅模型进行药物模拟，通过彻底分析药物治疗过程中的分子、细胞、组织和器官动力学，加快药物发现过程。

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引用次数: 0

A new vision upon hemodialysis: A shift from synthetic to sustainable chitosan membranes 血液透析的新愿景：从合成到可持续的壳聚糖膜的转变

Biomedical engineering advances

Pub Date : 2025-05-01 DOI: 10.1016/j.bea.2025.100175

Maria Martingo, Sara Baptista-Silva, Manuela Pintado, Sandra Borges

The article provides a comprehensive review of chronic kidney disease (CKD), covering its epidemiology, pathophysiology, diagnosis, and management. It highlights CKD's increasing prevalence globally and its significant impact on public health due to its association with cardiovascular diseases and progression to end-stage kidney disease. The article delves into the diagnostic criteria, including the use of glomerular filtration rate (GFR) and albuminuria levels, and outlines the stages of CKD to facilitate early detection and management. It also discusses renal replacement therapies (RRT) such as dialysis and transplantation, comparing hemodialysis (HD) and peritoneal dialysis (PD) in terms of efficiency, complications, and quality of life impacts.

The transition towards sustainable dialysis involves the innovative integration of chitosan, a biopolymer into membrane technology. Current synthetic membranes, though functional, fall short in biocompatibility and sustainability. Chitosan's introduction aims to mitigate these issues by harnessing its advantageous biological and eco-friendly properties. Leveraging chitosan not only addresses environmental concerns by providing a sustainable alternative but also exploits the full potential of its properties to revolutionize RRT. The shift towards chitosan-enriched membranes represents a significant stride in advancing dialysis treatment, focusing on patient safety, environmental sustainability, and the effective management of CKD. This approach underscores the importance of innovation in healthcare, specifically in the development of dialysis technologies that prioritize both patient welfare and environmental sustainability.

本文综述了慢性肾脏疾病（CKD）的流行病学、病理生理学、诊断和治疗。它强调了CKD在全球范围内日益增加的患病率，以及由于其与心血管疾病和进展到终末期肾脏疾病的关联而对公共卫生产生的重大影响。本文深入探讨了CKD的诊断标准，包括肾小球滤过率（GFR）和蛋白尿水平的使用，并概述了CKD的分期，以促进早期发现和管理。它还讨论了肾脏替代疗法（RRT），如透析和移植，比较血液透析（HD）和腹膜透析（PD）在效率、并发症和生活质量方面的影响。向可持续透析的过渡涉及到壳聚糖（一种生物聚合物）与膜技术的创新整合。目前的合成膜虽然具有功能性，但在生物相容性和可持续性方面存在不足。壳聚糖的引入旨在通过利用其有利的生物和环保特性来缓解这些问题。利用壳聚糖不仅通过提供可持续的替代品来解决环境问题，而且还利用其特性的全部潜力来彻底改变RRT。向壳聚糖富集膜的转变是推进透析治疗的重要一步，关注患者安全、环境可持续性和CKD的有效管理。这种方法强调了医疗保健创新的重要性，特别是在透析技术的发展中，优先考虑患者福利和环境可持续性。

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引用次数: 0