Pub Date : 2024-11-13DOI: 10.1016/j.bmt.2024.09.001
Wanqing Weng , Li Wang , Lu Fan , Xiaoya Ding , Xiaocheng Wang
The complexity of wound healing, influenced by both external factors and internal pathological mechanisms, presents a significant challenge in clinical treatment. However, strategically designed micro-nano structured scaffolds show great potential in enhancing wound healing. This article reviews groundbreaking research on ordered micro-nano structures for wound repair and tissue regeneration, highlighting their crucial roles in regulating cell behavior, promoting cell differentiation, balancing the immune microenvironment, and providing antibacterial properties. Subsequently, we provide a detailed overview of advanced technologies used to fabricate these precision structures, including template replication, electrospinning, microfluidics, and 3D printing. Finally, we discuss the challenges and future directions for developing finely structured materials, considering both the current achievements and existing limitations.
{"title":"Ordered micro-nano structured biomaterials for wound healing","authors":"Wanqing Weng , Li Wang , Lu Fan , Xiaoya Ding , Xiaocheng Wang","doi":"10.1016/j.bmt.2024.09.001","DOIUrl":"10.1016/j.bmt.2024.09.001","url":null,"abstract":"<div><div>The complexity of wound healing, influenced by both external factors and internal pathological mechanisms, presents a significant challenge in clinical treatment. However, strategically designed micro-nano structured scaffolds show great potential in enhancing wound healing. This article reviews groundbreaking research on ordered micro-nano structures for wound repair and tissue regeneration, highlighting their crucial roles in regulating cell behavior, promoting cell differentiation, balancing the immune microenvironment, and providing antibacterial properties. Subsequently, we provide a detailed overview of advanced technologies used to fabricate these precision structures, including template replication, electrospinning, microfluidics, and 3D printing. Finally, we discuss the challenges and future directions for developing finely structured materials, considering both the current achievements and existing limitations.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"8 ","pages":"Pages 104-114"},"PeriodicalIF":0.0,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-28DOI: 10.1016/j.bmt.2024.10.003
Meng Tang , Pengrui Li , Haokai Zhang , Liu Deng , Shihong Liu , Qingyuan Zheng , Hongli Chang , Changming Zhao , Manqing Wang , Guilai Zuo , Dongrui Gao
Driving vigilance estimation is an important task for traffic safety. Nowadays, electroencephalography (EEG) and electrooculography (EOG) have made some achievements in vigilance estimation, but there are still some challenges: 1) The traditional approachs with direct multimodal fusion may face the problems of information redundancy and data dimensionality mismatch; 2) Capture key discriminative features during multimodal fusion without losing specific patterns to each modality. In order to solve the above problems, this paper proposes a approach with fusion of EEG and EOG features in split bands, which not only preserves the information about brain activities in different bands of EEG, but also effectively integrates the relevant information of EOG. On this basis, we further propose a hierarchical multi-scale topological enhanced network (HMS-TENet). This network first introduces a pyramid pooling structure (PPS) to capture contextual relationships from different discriminative perspectives. And then we design a selective convolutional structure (SCS) for adaptive sense-field selection, which enables us to mine the desired discriminative information in small-size features. In addition, we design a topology self-aware attention to enhance the learning of representations of complex topological relationships among EEG channels. Finally, the output of the model can be selected for both regression and classification tasks, providing higher flexibility and adaptability. We demonstrate the robustness, generalizability, and utility of the proposed method based on intra-subject and cross-subject experiments on the SEED-VIG public dataset. Codes are available at https://github.com/tangmeng28/HMS-TENet.
{"title":"HMS-TENet: A hierarchical multi-scale topological enhanced network based on EEG and EOG for driver vigilance estimation","authors":"Meng Tang , Pengrui Li , Haokai Zhang , Liu Deng , Shihong Liu , Qingyuan Zheng , Hongli Chang , Changming Zhao , Manqing Wang , Guilai Zuo , Dongrui Gao","doi":"10.1016/j.bmt.2024.10.003","DOIUrl":"10.1016/j.bmt.2024.10.003","url":null,"abstract":"<div><div>Driving vigilance estimation is an important task for traffic safety. Nowadays, electroencephalography (EEG) and electrooculography (EOG) have made some achievements in vigilance estimation, but there are still some challenges: 1) The traditional approachs with direct multimodal fusion may face the problems of information redundancy and data dimensionality mismatch; 2) Capture key discriminative features during multimodal fusion without losing specific patterns to each modality. In order to solve the above problems, this paper proposes a approach with fusion of EEG and EOG features in split bands, which not only preserves the information about brain activities in different bands of EEG, but also effectively integrates the relevant information of EOG. On this basis, we further propose a hierarchical multi-scale topological enhanced network (HMS-TENet). This network first introduces a pyramid pooling structure (PPS) to capture contextual relationships from different discriminative perspectives. And then we design a selective convolutional structure (SCS) for adaptive sense-field selection, which enables us to mine the desired discriminative information in small-size features. In addition, we design a topology self-aware attention to enhance the learning of representations of complex topological relationships among EEG channels. Finally, the output of the model can be selected for both regression and classification tasks, providing higher flexibility and adaptability. We demonstrate the robustness, generalizability, and utility of the proposed method based on intra-subject and cross-subject experiments on the SEED-VIG public dataset. Codes are available at <span><span>https://github.com/tangmeng28/HMS-TENet</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"8 ","pages":"Pages 92-103"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-25DOI: 10.1016/j.bmt.2024.10.002
Hongli Chang , Bo Liu , Hongguang Chang , Na Li , Min Xu , Guilai Zuo , Wubing He , Xuenan Wang
Parkinson disease (PD) is defined by the loss of dopamine (DA). Changes in the pedunculopontine nucleus (PPN), particularly in local field potential (LFP), can be attributed to deficits in DA and DA receptor expression levels. PPN is a heterogeneous nucleus consisting of cholinergic, γ-aminobutyric acid (GABAergic), and glutamatergic neurons. However, it is unclear whether low levels of DA receptors affect the activity of different PPN neuron types. We record the neuronal activity of PPN by administering the selective dopamine D1 and D2 receptor antagonists, SCH23390 and Raclopride, respectively. This study discover that the firing rates of glutamatergic neurons could be normalized, and their firing patterns were more consistent in lesioned rats treated with raclopride. Raclopride administration could correct the increased coherence and phase locking between glutamatergic spikes and beta-band oscillatory activity in lesioned rats. Raclopride administration correct the increased coherence and phase locking between glutamatergic spikes and beta-band oscillatory activity in lesioned rats.
帕金森病（PD）的定义是多巴胺（DA）的丧失。足底核（PPN）的变化，尤其是局部场电位（LFP）的变化，可归因于 DA 和 DA 受体表达水平的缺陷。PPN 是一个由胆碱能、γ-氨基丁酸（GABA）能和谷氨酸能神经元组成的异质性核团。然而，目前还不清楚低水平的 DA 受体是否会影响不同类型 PPN 神经元的活动。我们分别使用选择性多巴胺 D1 和 D2 受体拮抗剂 SCH23390 和 Raclopride 记录 PPN 神经元的活动。研究发现，使用拉氯必利治疗的病变大鼠谷氨酸能神经元的发射率可恢复正常，其发射模式也更加一致。服用拉氯必利可纠正病变大鼠谷氨酸能尖峰与β波段振荡活动之间增加的一致性和锁相。服用拉氯必利可纠正病变大鼠谷氨酸能尖峰与β波段振荡活动之间增加的相干性和锁相。
{"title":"D2 receptor antagonist raclopride regulates glutamatergic neuronal activity in the pedunculopontine nucleus in a rat model of Parkinson's disease","authors":"Hongli Chang , Bo Liu , Hongguang Chang , Na Li , Min Xu , Guilai Zuo , Wubing He , Xuenan Wang","doi":"10.1016/j.bmt.2024.10.002","DOIUrl":"10.1016/j.bmt.2024.10.002","url":null,"abstract":"<div><div>Parkinson disease (PD) is defined by the loss of dopamine (DA). Changes in the pedunculopontine nucleus (PPN), particularly in local field potential (LFP), can be attributed to deficits in DA and DA receptor expression levels. PPN is a heterogeneous nucleus consisting of cholinergic, γ-aminobutyric acid (GABAergic), and glutamatergic neurons. However, it is unclear whether low levels of DA receptors affect the activity of different PPN neuron types. We record the neuronal activity of PPN by administering the selective dopamine D1 and D2 receptor antagonists, SCH23390 and Raclopride, respectively. This study discover that the firing rates of glutamatergic neurons could be normalized, and their firing patterns were more consistent in lesioned rats treated with raclopride. Raclopride administration could correct the increased coherence and phase locking between glutamatergic spikes and beta-band oscillatory activity in lesioned rats. Raclopride administration correct the increased coherence and phase locking between glutamatergic spikes and beta-band oscillatory activity in lesioned rats.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"8 ","pages":"Pages 81-91"},"PeriodicalIF":0.0,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-09DOI: 10.1016/j.bmt.2024.10.001
Yongteng Song , Qingxi Hu , Suihong Liu , Guotai Yao , Haiguang Zhang
Cutaneous squamous cell carcinoma (cSCC) tumor resection surgery poses challenges due to incomplete cancer cell removal, which increases the risk of local recurrence and micrometastasis, while large-scale surgical wounds are susceptible to severe infections. Therefore, a drug-loaded multi-functional bilayer nanofibers skin scaffold was fabricated for postoperative wound care of cSCC. Briefly, the antibacterial drug enrofloxacin (ENR) was loaded into polycaprolactone (PCL) nanofibers using electrospinning to form an antibacterial nanofiber membrane (PCL-ENR) as the outer layer of scaffold. The anticancer drug bleomycin (BLM) was loaded into PCL/Gelatin (Gel) nanofibers via electrospinning to form an anticancer nanofiber membrane (PG-BLM) as the inner layer of scaffold. ENR and BLM were successfully loaded into the scaffold. The scaffold had excellent physicochemical properties, with the outer layer exhibiting hydrophobicity and excellent antibacterial activity, and the inner layer showing hydrophilicity and outstanding anticancer activity. The elongation at break and tensile modulus of the scaffold were 26.35 ± 1.61 % and 15.25 ± 1.56 MPa, respectively. In vitro and in vivo experiments suggested that the scaffold not only has good biocompatibility to promote wound healing but also could inhibit the proliferation of A431 cells, which has great potential clinical application in postoperative wound care of cSCC.
{"title":"Electrospinning drug-loaded polycaprolactone/polycaprolactone-gelatin multi-functional bilayer nanofibers composite scaffold for postoperative wound healing of cutaneous squamous cell carcinoma","authors":"Yongteng Song , Qingxi Hu , Suihong Liu , Guotai Yao , Haiguang Zhang","doi":"10.1016/j.bmt.2024.10.001","DOIUrl":"10.1016/j.bmt.2024.10.001","url":null,"abstract":"<div><div>Cutaneous squamous cell carcinoma (cSCC) tumor resection surgery poses challenges due to incomplete cancer cell removal, which increases the risk of local recurrence and micrometastasis, while large-scale surgical wounds are susceptible to severe infections. Therefore, a drug-loaded multi-functional bilayer nanofibers skin scaffold was fabricated for postoperative wound care of cSCC. Briefly, the antibacterial drug enrofloxacin (ENR) was loaded into polycaprolactone (PCL) nanofibers using electrospinning to form an antibacterial nanofiber membrane (PCL-ENR) as the outer layer of scaffold. The anticancer drug bleomycin (BLM) was loaded into PCL/Gelatin (Gel) nanofibers via electrospinning to form an anticancer nanofiber membrane (PG-BLM) as the inner layer of scaffold. ENR and BLM were successfully loaded into the scaffold. The scaffold had excellent physicochemical properties, with the outer layer exhibiting hydrophobicity and excellent antibacterial activity, and the inner layer showing hydrophilicity and outstanding anticancer activity. The elongation at break and tensile modulus of the scaffold were 26.35 ± 1.61 % and 15.25 ± 1.56 MPa, respectively. <em>In vitro</em> and <em>in vivo</em> experiments suggested that the scaffold not only has good biocompatibility to promote wound healing but also could inhibit the proliferation of A431 cells, which has great potential clinical application in postoperative wound care of cSCC.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"8 ","pages":"Pages 65-80"},"PeriodicalIF":0.0,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-07DOI: 10.1016/j.bmt.2024.09.004
Muhammad Hassaan Ashraf , Hamed Alghamdi
Diabetic Retinopathy (DR) is a leading cause of vision loss among diabetic patients, necessitating effective screening and grading for timely intervention. Regular screening significantly increases the workload of ophthalmologists, and accurate grading into stages—mild, moderate, severe, and proliferative—is crucial for monitoring disease progression. While Computer-Aided Diagnosis (CAD) systems can alleviate this burden, existing Convolutional Neural Network (CNN)-based frameworks use fixed-size kernels in a linear feed-forward manner. This approach can lead to information loss in the initial stages due to limited feature utilization across adjacent layers. To address this limitation, we propose a Hierarchical Features Fusion Convolutional Neural Network (HFF-Net) within a Diabetic Retinopathy Screening and Grading (DRSG) framework. The framework includes preprocessing to extract regions of interest from fundus images (FIs), enhancement using Contrast Limited Adaptive Histogram Equalization (CLAHE), and data augmentation for class balancing and overfitting mitigation. HFF-Net extracts multiscale features that fused at multiple levels within the network, utilizing the swish activation function for improved learning stability. We evaluated HFF-Net against several state-of-the-art CNN classifiers within the DRSG framework. Experimental results demonstrate that HFF-Net achieves a grading accuracy of 73.77 %, surpassing the second-best model by 3.51 percentage points (a relative improvement of approximately 5 %), and attains a screening accuracy of 98.70 % using only 1.18 million parameters. These findings highlight HFF-Net's potential as an efficient and effective tool in CAD systems for DR screening and grading.
Modulation of the immune system has gained significant attention in regenerative medicine. Although most tissues possess intrinsic self-repair capabilities, large-sized defects and complex pathological conditions may still lead to tissue microenvironment imbalance and repair failure. Researchers have applied macrophage-mediated immunotherapeutic strategies to various injured tissue repairs by modulating inflammatory responses, intercellular communication, and multitissue synergies to restore immune microenvironmental homeostasis and promote tissue regeneration. Ongoing advancements in materials science have highlighted the precise immunomodulatory role of biomaterials, with passive targeting strategies based on the material's physicochemical properties and active targeting strategies based on specific molecular modifications becoming increasingly important in research. This review focuses on the mechanisms of action of actively and passively targeted biomaterials to modulate macrophages, which improve the tissue regenerative microenvironment through four basic strategies: (i) modulation of the inflammatory response to remove damaged cells, cellular debris, and pathogens; (ii) remodeling of the extracellular matrix; (iii) reconstruction of vascular tissues; and (iv) macrophage-stem cell crosstalk. This review covers the major mechanisms of macrophage action in the regeneration of injured tissues, while exploring the multiple methods by which advanced biomaterials target macrophages and highlighting their applications in the regeneration of a wide range of tissue injuries. We further discuss the future directions and current limitations in the development of biomaterials for macrophage modulation, aiming to advance biomaterials targeting macrophages, realize the full potential of immunotherapy, and achieve precision medicine.
{"title":"Biomaterials that passively and actively target macrophages promote the regeneration of injured tissues","authors":"Pengzhen Zhuang, Wu Yang, Yu Chen, Yu Zhang, Capucine Leboucher, Jessica M. Rosenholm, Hongbo Zhang","doi":"10.1016/j.bmt.2024.09.005","DOIUrl":"10.1016/j.bmt.2024.09.005","url":null,"abstract":"<div><div>Modulation of the immune system has gained significant attention in regenerative medicine. Although most tissues possess intrinsic self-repair capabilities, large-sized defects and complex pathological conditions may still lead to tissue microenvironment imbalance and repair failure. Researchers have applied macrophage-mediated immunotherapeutic strategies to various injured tissue repairs by modulating inflammatory responses, intercellular communication, and multitissue synergies to restore immune microenvironmental homeostasis and promote tissue regeneration. Ongoing advancements in materials science have highlighted the precise immunomodulatory role of biomaterials, with passive targeting strategies based on the material's physicochemical properties and active targeting strategies based on specific molecular modifications becoming increasingly important in research. This review focuses on the mechanisms of action of actively and passively targeted biomaterials to modulate macrophages, which improve the tissue regenerative microenvironment through four basic strategies: (i) modulation of the inflammatory response to remove damaged cells, cellular debris, and pathogens; (ii) remodeling of the extracellular matrix; (iii) reconstruction of vascular tissues; and (iv) macrophage-stem cell crosstalk. This review covers the major mechanisms of macrophage action in the regeneration of injured tissues, while exploring the multiple methods by which advanced biomaterials target macrophages and highlighting their applications in the regeneration of a wide range of tissue injuries. We further discuss the future directions and current limitations in the development of biomaterials for macrophage modulation, aiming to advance biomaterials targeting macrophages, realize the full potential of immunotherapy, and achieve precision medicine.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"8 ","pages":"Pages 17-49"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Until now various deep convolutional neural networks are designed and trained for the purpose of classifying different medical conditions related to the domain of gastroenterology. Most of the study carried out have considered publicly available datasets to train the classification networks. Nevertheless, the main motive for carrying out different works in the field gastroenterology is to administer the developed models in healthcare centers in real-world set-ups. For doing so, it is important to check the generalizing ability of the designed systems by regulating them so as to classify endoscopy images captured in a specific hospital. In this regard, the foremost work completed is the collection of the endoscopy data from the hospital and then correctly annotating the images taking the help of a senior endoscopist with experience of more than 5 years. Once the data annotation is completed, the images are segregated into the class of normal and abnormal endoscopy images. Four different models are designed in the current work based on deep learning models, transfer learning models and ensemble approaches, and trained to classify the hospital endoscopy data as normal or abnormal. The models are then tested and evaluated based on various performance measures. It is observed from the comparative analysis that the transfer learning-based ensemble model has the best generalizing ability and gives the best specificity of 100 %. It is believed that deep learning-based models can assist endoscopists in add-on to human prediction efficiency.
{"title":"Comparative exploration of deep convolutional neural networks using real-time endoscopy images","authors":"Subhashree Mohapatra , Pukhraj Singh Jeji , Girish Kumar Pati , Manohar Mishra , Tripti Swarnkar","doi":"10.1016/j.bmt.2024.09.003","DOIUrl":"10.1016/j.bmt.2024.09.003","url":null,"abstract":"<div><p>Until now various deep convolutional neural networks are designed and trained for the purpose of classifying different medical conditions related to the domain of gastroenterology. Most of the study carried out have considered publicly available datasets to train the classification networks. Nevertheless, the main motive for carrying out different works in the field gastroenterology is to administer the developed models in healthcare centers in real-world set-ups. For doing so, it is important to check the generalizing ability of the designed systems by regulating them so as to classify endoscopy images captured in a specific hospital. In this regard, the foremost work completed is the collection of the endoscopy data from the hospital and then correctly annotating the images taking the help of a senior endoscopist with experience of more than 5 years. Once the data annotation is completed, the images are segregated into the class of normal and abnormal endoscopy images. Four different models are designed in the current work based on deep learning models, transfer learning models and ensemble approaches, and trained to classify the hospital endoscopy data as normal or abnormal. The models are then tested and evaluated based on various performance measures. It is observed from the comparative analysis that the transfer learning-based ensemble model has the best generalizing ability and gives the best specificity of 100 %. It is believed that deep learning-based models can assist endoscopists in add-on to human prediction efficiency.</p></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"8 ","pages":"Pages 1-16"},"PeriodicalIF":0.0,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949723X2400028X/pdfft?md5=e0845db8abb3c72b5f176a9ea7db3750&pid=1-s2.0-S2949723X2400028X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142270561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-29DOI: 10.1016/j.bmt.2024.08.001
Shuncai Hu, Qing Lin, Lifeng Qiu, Yang Liu, Siyan Guan, Zhizhi Luo, Yang Wang, Xiaofan Wang
Purpose
This study aimed to investigate the efficacy of orthopedic insoles, specifically three-dimensional (3D)-printed orthopedic insoles, for treatment of symptomatic flexible flatfoot in school-age children.
Methods
A systematic review of PubMed and China National Knowledge Infrastructure (CNKI) from database inception to March 2024 was conducted to determine additional studies. This single-center study included 38 participants, including 20 who chose ordinary orthopedic insoles and 18 who chose 3D printed orthopedic insoles, presented from January 2021 to December 2022. Pain symptom relief was compared between the two groups after 1 year of follow-up.
Results
A systematic review identified an additional six publications, involving 206 samples, and meta-analysis indicated that the force-bearing area, arch index, and heel valgus angle after treatment were 0.74 (95 % confidence interval [CI]: 0.65–1.01), 0.20 (95 % CI: 0.03–1.35), and 0.10 (95 % CI: 0.03–0.28) of those before treatment, respectively. The 1-year follow-up study revealed that because of its good comfort, 3D printed orthopedic insole can significantly improve the wearing time of both male (P < 0.001) and overweight participants (P < 0.001) and significantly reduce the pain score (P = 0.032).
Conclusions
Orthotic insoles are effective in helping the recovery of flexible flatfoot. Among them, the 3D-printed orthopedic insoles have a better effect on relieving pain symptoms and have a great development potential.
{"title":"Effect of orthotic insole on symptomatic flexible flatfoot in school-age children: Meta-analysis and 1-year follow-up study","authors":"Shuncai Hu, Qing Lin, Lifeng Qiu, Yang Liu, Siyan Guan, Zhizhi Luo, Yang Wang, Xiaofan Wang","doi":"10.1016/j.bmt.2024.08.001","DOIUrl":"10.1016/j.bmt.2024.08.001","url":null,"abstract":"<div><h3>Purpose</h3><p>This study aimed to investigate the efficacy of orthopedic insoles, specifically three-dimensional (3D)-printed orthopedic insoles, for treatment of symptomatic flexible flatfoot in school-age children.</p></div><div><h3>Methods</h3><p>A systematic review of PubMed and China National Knowledge Infrastructure (CNKI) from database inception to March 2024 was conducted to determine additional studies. This single-center study included 38 participants, including 20 who chose ordinary orthopedic insoles and 18 who chose 3D printed orthopedic insoles, presented from January 2021 to December 2022. Pain symptom relief was compared between the two groups after 1 year of follow-up.</p></div><div><h3>Results</h3><p>A systematic review identified an additional six publications, involving 206 samples, and meta-analysis indicated that the force-bearing area, arch index, and heel valgus angle after treatment were 0.74 (95 % confidence interval [CI]: 0.65–1.01), 0.20 (95 % CI: 0.03–1.35), and 0.10 (95 % CI: 0.03–0.28) of those before treatment, respectively. The 1-year follow-up study revealed that because of its good comfort, 3D printed orthopedic insole can significantly improve the wearing time of both male (<em>P</em> < 0.001) and overweight participants (<em>P</em> < 0.001) and significantly reduce the pain score (<em>P</em> = 0.032).</p></div><div><h3>Conclusions</h3><p>Orthotic insoles are effective in helping the recovery of flexible flatfoot. Among them, the 3D-printed orthopedic insoles have a better effect on relieving pain symptoms and have a great development potential.</p></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"7 ","pages":"Pages 63-70"},"PeriodicalIF":0.0,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949723X24000163/pdfft?md5=b0f8149d222ae2bd36d56643a01112ba&pid=1-s2.0-S2949723X24000163-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142089408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Endometriosis is an estrogen-dependent disorder of the reproductive tract, affecting approximately 10 % of women. The symptoms of this condition are vague and not correlated with the disease's stage. These associated symptoms significantly impact women's overall well-being. The etiology of endometriosis remains inadequately understood, with coelomic metaplasia, lymphatic and vascular dissemination being regarded as additional hypotheses in addition to the retrograde menstruation theory. Endometriosis is primarily treated with drug therapy and surgical intervention, but the recurrence rate of symptoms after five years remains approximately 50 %. Therefore, the advancement of more effective and safe therapies for the treatment of endometriosis is of paramount importance. In this review, we introduce the utilization of photodynamic therapy, hyperthermia, gene therapy, immunotherapy, stem cell therapy, nanotechnology, and micron technology in the management of endometriosis. The objective is to provide novel research perspectives for therapeutic approaches and facilitate future clinical translation to enhance patient outcomes.
{"title":"Emerging strategies for the treatment of endometriosis","authors":"Qiong Chen , Jing Wang , Xiaoya Ding , Qingfei Zhang , Ping Duan","doi":"10.1016/j.bmt.2024.08.002","DOIUrl":"10.1016/j.bmt.2024.08.002","url":null,"abstract":"<div><p>Endometriosis is an estrogen-dependent disorder of the reproductive tract, affecting approximately 10 % of women. The symptoms of this condition are vague and not correlated with the disease's stage. These associated symptoms significantly impact women's overall well-being. The etiology of endometriosis remains inadequately understood, with coelomic metaplasia, lymphatic and vascular dissemination being regarded as additional hypotheses in addition to the retrograde menstruation theory. Endometriosis is primarily treated with drug therapy and surgical intervention, but the recurrence rate of symptoms after five years remains approximately 50 %. Therefore, the advancement of more effective and safe therapies for the treatment of endometriosis is of paramount importance. In this review, we introduce the utilization of photodynamic therapy, hyperthermia, gene therapy, immunotherapy, stem cell therapy, nanotechnology, and micron technology in the management of endometriosis. The objective is to provide novel research perspectives for therapeutic approaches and facilitate future clinical translation to enhance patient outcomes.</p></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"7 ","pages":"Pages 46-62"},"PeriodicalIF":0.0,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949723X24000175/pdfft?md5=62b25ff0bb6b24e2e05534564539033a&pid=1-s2.0-S2949723X24000175-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142089407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-16DOI: 10.1016/j.bmt.2024.07.001
Jihao Yang , Lingyi Guo , Jun Liao , Huaqiang Yi
Ischemic stroke (IS), a major cause of death and disability globally, requires innovative therapeutic approaches due to its complex pathology. Nature medicine (NM) offers promising treatments through its bioactive compounds, which target the multifaceted nature of stroke-induced damage. However, the clinical application of NM is limited by challenges in bioavailability and specificity. This review article presents an advanced perspective on integrating nanotechnology with NM to create potent nanodelivery systems for ischemic stroke treatment. We highlight the pathological underpinnings of ischemic stroke, including oxidative stress, inflammation, and apoptosis, and discuss how NM compounds offer targeted mitigation strategies. By incorporating nanodelivery platforms, such as liposomes and nanoparticles, these NM -based treatments can achieve enhanced targeting, solubility, and controlled release, significantly improving therapeutic outcomes while reducing side effects. Despite promising developments, the translation of nano-enhanced NM into clinical practice faces obstacles, including manufacturing scalability, regulatory approval, and safety evaluations. This review emphasizes the potential of combining nanotechnology with NM to advance ischemic stroke therapy, calling for integrated research efforts to overcome existing barriers and fully realize the clinical benefits of this innovative approach.
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