SLAS Technology最新文献_第10页

Characterizing anterior and posterior circulation strokes using high-resolution magnetic resonance imaging 使用高分辨率磁共振成像表征前后循环卒中。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-08-01 Epub Date: 2025-06-19 DOI: 10.1016/j.slast.2025.100319

Hongshan Chu , Shibo Dong , Yuan Zhang , Hongyu Hao , Ruisheng Duan , Xing Xing , Nan Yin , Jin An , Ya Gao , Xiangjian Xiao

Background and Purpose

High-resolution magnetic resonance imaging (HR-MRI) is increasingly used to assess intracranial atherosclerosis (ICAS). The risks for anterior circulation stroke (ACS) and posterior circulation stroke (PCS) differ, and understanding the factors influencing these differences is important for better clinical management. This study investigates the impact of clinical risk factors on ICAS features in ACS and PCS using HR-MRI, focusing on arterial remodeling patterns.

Methods

This retrospective, cross-sectional study uses HR-MRI to investigate the differences in plaque characteristics and remodeling patterns between anterior and posterior circulation strokes (ACS and PCS). Consecutive patients with acute ischemic stroke or transient ischemic attack (TIA) who received HR-MRI from January 2021 to August 2022 were enrolled. We compared ACS and PCS cases, analyzed clinical and radiological features, and examined factors associated with arterial remodeling patterns.

Results

Of 208 patients, 123 had ACS, and 85 had PCS. PCS was significantly associated with diabetes (P = 0.036) and positive remodeling (P = 0.01). Differences in HbA1c, fibrinogen levels, and plaque enhancement were observed between ACS and PCS (P < 0.001; P = 0.033; P = 0.03). Multivariable analysis identified smoking (P = 0.048; OR: 1.96, 95 % CI: 1.01–3.81) and uric acid levels (P = 0.022; OR: 0.996, 95 % CI: 0.993–0.999) as independent factors associated with non-positive remodeling.

Conclusions

HR-MRI reveals significant differences in risk factors and plaque characteristics between ACS and PCS, with smoking and uric acid levels associated with non-positive remodeling. These findings highlight the importance of HR-MRI in identifying plaque vulnerability and guiding clinical interventions.

背景与目的：高分辨率磁共振成像（HR-MRI）越来越多地用于颅内动脉粥样硬化（ICAS）的评估。前循环卒中（ACS）和后循环卒中（PCS）的风险不同，了解影响这些差异的因素对更好的临床管理很重要。本研究利用HR-MRI研究临床危险因素对ACS和PCS的ICAS特征的影响，重点关注动脉重塑模式。方法：本回顾性横断面研究采用高分辨率磁共振成像技术研究前后循环卒中（ACS和PCS）斑块特征和重塑模式的差异。在2021年1月至2022年8月期间连续接受HR-MRI检查的急性缺血性卒中或短暂性脑缺血发作（TIA）患者入组。我们比较了ACS和PCS病例，分析了临床和影像学特征，并检查了与动脉重塑模式相关的因素。结果：208例患者中，ACS 123例，PCS 85例。PCS与糖尿病（P = 0.036）和正重构（P = 0.01）显著相关。ACS和PCS患者在HbA1c、纤维蛋白原水平和斑块增强方面存在差异(P < 0.001；P = 0.033; = 0.03页)。多变量分析发现吸烟(P = 0.048；OR: 1.96, 95% CI: 1.01-3.81)和尿酸水平(P = 0.022；OR: 0.996, 95% CI: 0.993-0.999)是与非阳性重塑相关的独立因素。结论：HR-MRI显示ACS和PCS的危险因素和斑块特征有显著差异，吸烟和尿酸水平与非阳性重构相关。这些发现强调了HR-MRI在识别斑块易感性和指导临床干预方面的重要性。

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引用次数: 0

A scalable deep attention mechanism of instance segmentation for the investigation of chromosome 染色体研究实例分割的可扩展深度注意机制。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-08-01 Epub Date: 2025-05-11 DOI: 10.1016/j.slast.2025.100306

Neelam Umbreen , Sara Ali , Hasan Sajid , Yasar Ayaz , Shrooq Alsenan , Yunyoung Nam , So Yeon Kim , Muhammad Baber Sial

Chromosome segmentation in metaphase images is a critical yet challenging task in cytogenetics and genomics due to the inherent complexity, variability in chromosome shapes, and the scarcity of high-quality annotated datasets. This study proposes a robust instance segmentation framework that integrates an automated annotation pipeline with an enhanced deep learning architecture to address these challenges. A novel dataset is introduced, comprising metaphase images and corresponding karyograms, annotated with precise instance segmentation information across 24 chromosome classes in COCO format. To overcome the labor-intensive manual annotation process, a feature-based image registration technique leveraging SIFT and homography is employed, enabling the accurate mapping of chromosomes from karyograms to metaphase images and significantly improving annotation quality and segmentation performance. The proposed framework includes a custom Mask R-CNN model enhanced with an Attention-based Feature Pyramid Network (AttFPN), spatial attention mechanisms, and a LastLevelMaxPool block for superior multi-scale feature extraction and focused attention on critical regions of the image. Experimental evaluations demonstrate the model's efficacy, achieving a mean average precision (mAP) of 0.579 at IoU = 0.50:0.95, surpassing the baseline Mask R-CNN and Mask R-CNN with AttFPN by 3.94% and 5.97% improvements in mAP and AP50, respectively. Notably, the proposed architecture excels in segmenting small and medium-sized chromosomes, addressing key limitations of existing methods. This research not only introduces a state-of-the-art segmentation framework but also provides a benchmark dataset, setting a new standard for chromosome instance segmentation in biomedical imaging. The integration of automated dataset creation with advanced model design offers a scalable and transferable solution, paving the way for tackling similar challenges in other domains of biomedical and cytogenetic imaging.

由于染色体形状固有的复杂性、可变性和高质量注释数据集的稀缺性，染色体中期图像分割在细胞遗传学和基因组学中是一项关键但具有挑战性的任务。本研究提出了一种鲁棒的实例分割框架，该框架将自动注释管道与增强的深度学习架构集成在一起，以应对这些挑战。介绍了一个新的数据集，包括中期图像和相应的核图，并以COCO格式标注了24个染色体类别的精确实例分割信息。为了克服人工标注过程的劳动强度，采用基于特征的图像配准技术，利用SIFT和同源性，实现了染色体从核图到中期图像的精确映射，显著提高了标注质量和分割性能。该框架包括一个自定义Mask R-CNN模型，增强了基于注意力的特征金字塔网络（AttFPN）、空间注意力机制和LastLevelMaxPool块，用于卓越的多尺度特征提取，并将注意力集中在图像的关键区域。实验评估证明了该模型的有效性，在IoU = 0.50:0.95时平均精度（mAP）为0.579，mAP和AP50分别比基线Mask R-CNN和Mask R-CNN与AttFPN分别提高了3.94%和5.97%。值得注意的是，所提出的架构在分割小型和中型染色体方面表现出色，解决了现有方法的关键限制。本研究不仅引入了最先进的分割框架，而且提供了一个基准数据集，为生物医学成像中染色体实例分割设定了新的标准。自动化数据集创建与先进模型设计的集成提供了可扩展和可转移的解决方案，为解决生物医学和细胞遗传学成像其他领域的类似挑战铺平了道路。

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引用次数: 0

Therapeutic potential of PDA@MT in mitigating oxidative stress in obstructive sleep apnea based on biomedical images 基于生物医学图像的PDA@MT缓解阻塞性睡眠呼吸暂停氧化应激的治疗潜力。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-08-01 Epub Date: 2025-05-29 DOI: 10.1016/j.slast.2025.100309

Zeming Zhang , Wenhui Wang , Li Wei , Li Han , Zaiyan Wang , Hao Chen

Obstructive sleep apnea (OSA) is a common sleep disorder that affects breathing and is accompanied by increased oxidative stress, leading to multiple health problems. This study evaluated the therapeutic efficacy of PDA@MT on oxidative stress and OSA model, providing new ideas for the treatment of OSA. Firstly, PDA@MT nanoparticles were synthesized and their embedding efficiency and drug loading capacity were evaluated. The physicochemical properties of the particles were analyzed by means of particle size and ζ potential test, transmission electron microscope (TEM) imaging and sample stability test. Subsequently, cell viability assay, cell uptake assay and antioxidant assay were performed to evaluate the therapeutic effect of nanoparticles in vitro. OSA rat models were established, and histological analysis, immunofluorescence detection and reactive oxygen species (ROS) detection were performed to evaluate the efficacy of PDA@MT in vivo, and finally statistical analysis was performed. PDA@MT nanoparticles showed good cytocompatibility and significant antioxidant capacity, and could effectively reduce ROS levels in vitro. Multiple validated evaluations have shown that PDA@MT significantly improves respiratory status in model rats in OSA models, showing promising therapeutic potential. Biosafety evaluation results showed that PDA@MT is safe for use in vivo. Medical thermal images play a key role in evaluating the therapeutic effect of the nanoparticles and provide an important basis for further research and development.

阻塞性睡眠呼吸暂停（OSA）是一种常见的睡眠障碍，会影响呼吸，并伴有氧化应激增加，导致多种健康问题。本研究评价PDA@MT对氧化应激及OSA模型的治疗效果，为OSA的治疗提供新的思路。首先，合成PDA@MT纳米颗粒，并对其包埋效率和载药能力进行评价。采用粒径、ζ电位测试、透射电镜（TEM）成像和样品稳定性测试等方法对颗粒的理化性质进行了分析。随后，通过细胞活力测定、细胞摄取测定和抗氧化测定来评价纳米颗粒的体外治疗效果。建立OSA大鼠模型，进行组织学分析、免疫荧光检测和活性氧（ROS）检测，评价PDA@MT在体内的疗效，最后进行统计学分析。PDA@MT纳米颗粒具有良好的细胞相容性和显著的抗氧化能力，并能有效降低体外ROS水平。多次经过验证的评估表明PDA@MT可显著改善OSA模型大鼠的呼吸状态，具有良好的治疗潜力。生物安全性评价结果表明PDA@MT在体内使用是安全的。医学热成像在评价纳米颗粒的治疗效果方面发挥着关键作用，为进一步的研究和开发提供了重要依据。

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引用次数: 0

CircTNFRSF19 facilitates triple negative breast cancer cell growth by regulating N6-methyladenosine modification of B3GNT5: Medical biological image simulation CircTNFRSF19通过调节B3GNT5的n6 -甲基腺苷修饰促进三阴性乳腺癌细胞生长：医学生物图像模拟

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-08-01 Epub Date: 2025-06-01 DOI: 10.1016/j.slast.2025.100308

Lei Xue , Yuhui Zhou , Feng Liu , Jie Dang , Yu Yan

The role of cell surface receptors and glycosylation modification in cancer development has become a focus of research. In particular, the role of tumor necrosis factor receptor superfamily member 19 (TNFRSF19) and β-1, 3-N-acetylglucosamine transferase 5 (B3GNT5) in tumor cell growth has attracted extensive attention. The aim of this study was to investigate the role of CircTNFRSF19 in regulating the N6-methyladenosine (m6A) modification of B3GNT5 and how this modification promotes the growth of TNBC cells. The expression levels of CircTNFRSF19 and B3GNT5 in TNBC cell lines were detected by real-time quantitative PCR (qPCR). Then the m6A modification pattern of B3GNT5 was analyzed by m6A methylation sequencing technology, and the interaction between CircTNFRSF19 and B3GNT5 was verified by RNA immunoprecipitation (RIP) experiment. Through medical thermal image simulation technology, we conducted real-time monitoring and analysis of temperature changes during cell growth to assess the effects of CircTNFRSF19 and B3GNT5m6A modifications on cell metabolism and growth rate. The RIP experiment further confirmed the direct interaction between CircTNFRSF19 and B3GNT5. CRISPR/Cas9 gene editing experiments showed that after CircTNFRSF19 was knocked out, the m6A modification level of B3GNT5 was significantly decreased, and the growth rate of TNBC cells was also significantly slowed down. The application of medical thermal image simulation technology revealed that the metabolic activity of the cells in the CircTNFRSF19 knockout group was reduced, and the temperature change of the cell growth area was significantly different from that in the control group.

细胞表面受体和糖基化修饰在肿瘤发生中的作用已成为研究热点。特别是肿瘤坏死因子受体超家族成员19 （TNFRSF19）和β- 1,3 - n -乙酰氨基葡萄糖转移酶5 （B3GNT5）在肿瘤细胞生长中的作用引起了广泛关注。本研究的目的是探讨CircTNFRSF19在调节B3GNT5的n6 -甲基腺苷（m6A）修饰中的作用，以及这种修饰如何促进TNBC细胞的生长。采用实时定量PCR （real-time quantitative PCR, qPCR）检测CircTNFRSF19和B3GNT5在TNBC细胞系中的表达水平。然后通过m6A甲基化测序技术分析B3GNT5的m6A修饰模式，并通过RNA免疫沉淀（RIP）实验验证CircTNFRSF19与B3GNT5的相互作用。我们通过医学热图像模拟技术，实时监测和分析细胞生长过程中的温度变化，评估CircTNFRSF19和B3GNT5m6A修饰对细胞代谢和生长速率的影响。RIP实验进一步证实了CircTNFRSF19与B3GNT5之间的直接相互作用。CRISPR/Cas9基因编辑实验表明，敲除CircTNFRSF19后，B3GNT5的m6A修饰水平显著降低，TNBC细胞的生长速度也明显减慢。应用医学热图像模拟技术发现，CircTNFRSF19基因敲除组细胞代谢活性降低，细胞生长区域温度变化与对照组有明显差异。

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引用次数: 0

Development and application of a customized online affinity selection mass spectrometry screening platform 定制在线亲和选择质谱筛选平台的开发与应用

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-08-01 Epub Date: 2025-07-01 DOI: 10.1016/j.slast.2025.100329

Jun Zhang, Jerry Barney, Qingqing Shen, Anthony Paiva, Wilson Shou, Chris Barbieri, Nancy Huynh, Heidi L. Perez, Andrew F. Donnell, Cullen L. Cavallaro

With the evolving landscape of small molecule modalities and drug target portfolios, affinity selection mass spectrometry (ASMS) has emerged as a preferred high-throughput screening approach, driven by the growing chemical space capable of regulating historically undruggable targets. To meet the ever-increasing demand for binding screens, the ASMS platform requires continuous enhancements in efficiency and scalability. In this study, we developed a customized online ASMS platform, featuring multiplexed two-dimensional LC/MS for sample analysis, ultrafast acoustic ejection mass spectrometry for reaction product scouting of high-throughput chemistry before subjecting them to direct ASMS screens, and an integrated tool for real-time data processing and cross-hit evaluation. With the quality controls we implemented to ensure operational robustness and quality, the multiplexed system has demonstrated significantly enhanced analytical speed, efficiency, and overall capacity. The integrated data processing tool enhanced data quality by incorporating advanced cross-hit assessments to reduce false positives, and streamlined the screening workflow through real-time data analysis, effectively eliminating the traditional bottleneck in ASMS screening. The established ASMS platform has been utilized for our internal screening campaigns generating tractable binding hits, and providing direct affinity ranking of hits from nanoscale synthesis, enabling hit optimization and chemotype expansion with demonstrated high platform performance.

随着小分子模式和药物靶点组合的不断发展，亲和选择质谱（asm）已成为首选的高通量筛选方法，这是由于能够调节历史上不可药物靶点的化学空间不断增长。为了满足对绑定屏幕不断增长的需求，asm平台需要不断提高效率和可扩展性。在这项研究中，我们开发了一个定制的在线asm平台，其中包括用于样品分析的多路二维LC/MS，用于高通量化学反应产物探测的超快速声弹射质谱，以及用于实时数据处理和交叉命中评估的集成工具。我们实施了质量控制，以确保操作的稳健性和质量，多路复用系统显示出显著提高的分析速度、效率和总体容量。集成的数据处理工具通过采用先进的交叉命中评估来减少误报，提高了数据质量，并通过实时数据分析简化了筛选工作流程，有效地消除了asm筛选的传统瓶颈。建立的asm平台已用于我们的内部筛选活动，产生可处理的结合命中，并提供纳米级合成命中的直接亲和力排名，实现命中优化和化学型扩展，并展示了高平台性能。

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引用次数: 0

SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders SNet：一种新的卷积神经网络架构，用于胃肠疾病的高级内镜图像分类。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-08-01 Epub Date: 2025-05-30 DOI: 10.1016/j.slast.2025.100304

Samra Siddiqui , Junaid A. Khan , Tallha Akram , Meshal Alharbi , Jaehyuk Cha , Dina A. AlHammadi

With the intent of assisting gastroenterologists from all over the world, the proposed work aims to eliminate the effort required to achieve accurate diagnoses. Statistically, gastrointestinal diseases often result in fatal disorders, contributing to a significant number of fatalities. The upper gastrointestinal tract (GIT) includes the stomach, esophagus, and duodenum, while the lower one comprises a section of the small intestine, namely the ileum, as well as the large intestine, including the colon. The challenges associated with GIT tract issues are apparently complex. Therefore, multiple challenges exist regarding CAD (Computer-aided diagnosis) and endoscopy, including a lack of annotated images, a dark background, poor contrast, and an irregular pattern. The objective of this research is to develop a robust deep network, called SNet, that offers a solution to complex classification problems. Firstly, the endoscopic images undergo preprocessing before being subjected to feature extraction. This step involves image resizing along with the augmentation step. The proposed convolutional neural network (CNN) model is comprised of six blocks placed at different layers. To enable the exhaustive evaluation of proposed framework across different datasets, the model has undergone training on a very complex HyperKvasir dataset, and later tested on Kvasir v1 and v2 datasets. This facilitates cross-dataset system evaluation, resulting in an efficient system for an unseen image diagnosis. To avoid the problem of “curse of dimensionality”, the most discriminant feature information is selected based on proposed minimum redundancy maximum relevance (MRMR) algorithm. The proposed architecture has been evaluated using a range of performance metrics, such as accuracy, sensitivity, specificity, and Area under curve (AUC). With classification accuracy as the main metric, the achieved accuracy is 98.45% on the Kvasir v1, and 97.83% on the Kvasir v2 datasets.

为了帮助来自世界各地的胃肠病学家，建议的工作旨在消除实现准确诊断所需的努力。据统计，胃肠道疾病往往导致致命的疾病，造成大量死亡。上消化道包括胃、食道和十二指肠，下消化道包括小肠的一段，即回肠，以及大肠，包括结肠。与GIT通道问题相关的挑战显然是复杂的。因此，CAD（计算机辅助诊断）和内窥镜检查存在多重挑战，包括缺乏注释图像、暗背景、对比度差和不规则图案。这项研究的目的是开发一个强大的深度网络，称为SNet，为复杂的分类问题提供解决方案。首先对内窥镜图像进行预处理，然后进行特征提取。这一步包括图像大小调整和增强步骤。所提出的卷积神经网络（CNN）模型由放置在不同层的六个块组成。为了能够跨不同数据集对所提出的框架进行详尽的评估，该模型在非常复杂的HyperKvasir数据集上进行了训练，随后在Kvasir v1和v2数据集上进行了测试。这有助于跨数据集系统评估，从而形成一个有效的系统，用于未见过的图像诊断。为了避免“维数诅咒”的问题，基于所提出的最小冗余最大相关（MRMR）算法选择最具判别性的特征信息。所提出的体系结构已经使用一系列性能指标进行了评估，例如准确性、灵敏度、特异性和曲线下面积（AUC）。以分类准确率为主要指标，在Kvasir v1数据集上实现的准确率为98.45%，在Kvasir v2数据集上实现的准确率为97.83%。

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引用次数: 0

Construction and validation of a nomogram model for predicting rebleeding in high-risk peptic ulcer bleeding patients based on lasso regression: A single center retrospective research 基于Lasso回归的预测消化性溃疡高危出血患者再出血的Nomogram模型的构建与验证：一项单中心回顾性研究

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-08-01 Epub Date: 2025-07-16 DOI: 10.1016/j.slast.2025.100332

Qingrong Chen, Xuefeng Chen, Rongna You, Huaxin Huang

Objective To construct a Nomogram prediction model for high-risk Peptic Ulcer Bleeding (PUB) rebleeding using Lasso regression analysis and verify its predictive performance.

Methods Retrospective research was performed on 279 cases with PUB admitted from January 2020 to December 2023 in a hospital's medical record information system. Clinical data were collected and randomly separated into a modeling group and a validation group in a 7:3. The overfitting in the constructed model was verified by comparing the clinical data. According to the clinical data of the modeling group, Lasso regression analysis was used to screen variables and conduct multiple factor analysis. A Nomogram model was constructed accordingly, and its predictive performance was validated.

Results Among 279 patients included in this study, 45 cases had rebleeding, with an incidence rate of 16.13 %. The Lasso regression analysis demonstrated that a total of 15 variables were screened, taking λ_min as the standard. Multivariate analysis showed that diastolic blood pressure, hematocrit, blood transfusion volume, GBS score, endoscopic examination, and mechanical hemostasis were all independent risk factors for rebleeding in PUB cases. The Nomogram model based on multiple factor analysis demonstrated that the AUC of the modeling group and the validation group were 0.832 (95 %CI = 0.744-0.921) and 0.814 (95 %CI = 0.672-0.956), and Hosmer-Lemeshow χ² = 13.520 (P = 0.095). The DCA and CIC curve analysis results showed that using this model for patient intervention achieved positive benefits and relatively accurately predicted the rebleeding in PUB patients.

Conclusion This research constructs a Nomogram model based on Lasso regression analysis that can effectively predict the rebleeding in PUB patients, providing reference for early prevention of clinical PUB rebleeding.

目的：应用Lasso回归分析构建高风险消化性溃疡出血（PUB）再出血的Nomogram预测模型，并验证其预测效果。方法：对某医院病案信息系统中2020年1月至2023年12月收治的279例PUB患者进行回顾性研究。收集临床资料，按7:3的比例随机分为建模组和验证组。通过对比临床数据，验证了所构建模型的过拟合性。根据造模组临床资料，采用Lasso回归分析筛选变量，进行多因素分析。据此构建了Nomogram模型，并对其预测性能进行了验证。结果：279例患者中，再出血45例，发生率为16.13%。Lasso回归分析表明，以λmin为标准，共筛选出15个变量。多因素分析显示，舒张压、血细胞比容、输血量、GBS评分、内镜检查、机械止血均是PUB患者再出血的独立危险因素。基于多因素分析的Nomogram模型显示，建模组和验证组的AUC分别为0.832 （95%CI=0.744 ~ 0.921）和0.814 (95%CI=0.672 ~ 0.956), Hosmer-Lemeshow χ2=13.520 （P=0.095）。DCA和CIC曲线分析结果表明，使用该模型对患者进行干预取得了积极的效果，并且相对准确地预测了PUB患者的再出血情况。结论：本研究构建了基于Lasso回归分析的Nomogram模型，能够有效预测PUB患者再出血，为临床PUB再出血的早期预防提供参考。

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引用次数: 0

Magnetic nanoparticles-based targeted drug delivery system in tumor pain management 磁性纳米颗粒靶向给药系统在肿瘤疼痛治疗中的应用。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-08-01 Epub Date: 2025-07-14 DOI: 10.1016/j.slast.2025.100333

Xiaoli Lv , Fei Wang , Xiaomei Liu , Ting Xu , Xiaofeng Zhou

Background

the precise management of tumor-related pain is a critical challenge in improving the quality of life (QoL) of cancer patients. This study aimed to develop a magnetic nanoparticle-based transdermal drug delivery system (MNPs-TDDS) using green nanotechnology, incorporating folic acid targeting and magnetic-controlled release mechanisms, to achieve efficient and low-toxicity pain intervention.

Methods

folic acid-modified magnetic nanocomplexes (catHEC·FA@SPIO) were synthesized via a water-phase co-precipitation method. The structural and morphological characteristics were verified using Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and transmission electron microscopy (TEM). A total of 70 nasopharyngeal carcinoma (NPC) patients were enrolled and randomly divided into the experimental group (EG, MNPs-TDDS) and the control group (CG, conventional analgesia). Pain scores (NRS), psychological status (SAS/SDS), activities of daily living (Barthel index), and cancer cell apoptosis rates were assessed.

Results

the particle size of catHEC·FA@SPIO was 150±20 nm, exhibiting pH-responsive release properties (82.4 % cumulative release over 72 h at pH 5.5). The NRS scores (2.35±0.47 vs. 4.47±0.87), SAS (41.46±1.13 vs. 55.32±1.24), and SDS (40.06±0.75 vs. 54.11±1.52) in the EG were significantly lower than those in the CG (P < 0.05), with cytotoxicity to normal cells being under 10 %. The nursing satisfaction rate in the EG was 94.29 %, significantly higher than the 68.57 % in the CG (P < 0.001).

Conclusion

this study is the first to combine a green synthesis strategy with multidimensional clinical evaluation, demonstrating the comprehensive advantages of MNPs-TDDS in pain relief, improving psychological state, and enhancing activities of daily living. This approach provides an innovative solution for the precise management of tumor-related pain. Future research should further validate its long-term safety and applicability across various cancer types.

背景：肿瘤相关疼痛的精确治疗是提高肿瘤患者生活质量的关键挑战。本研究旨在利用绿色纳米技术开发基于磁性纳米颗粒的透皮给药系统（MNPs-TDDS），结合叶酸靶向和磁控释放机制，实现高效、低毒的疼痛干预。方法：采用水相共沉淀法合成叶酸修饰磁性纳米配合物（catHEC·FA@SPIO）。利用傅里叶变换红外光谱（FTIR）、x射线衍射（XRD）和透射电子显微镜（TEM）对其结构和形态特征进行了验证。选取70例鼻咽癌（NPC）患者，随机分为实验组（EG, MNPs-TDDS）和对照组（CG，常规镇痛）。评估疼痛评分（NRS）、心理状态（SAS/SDS）、日常生活活动（Barthel指数）和癌细胞凋亡率。结果：catHEC·FA@SPIO的粒径为150±20 nm，具有pH响应释放特性（在pH 5.5下72 h内累积释放82.4%）。EG组NRS评分（2.35±0.47比4.47±0.87）、SAS评分（41.46±1.13比55.32±1.24）、SDS评分（40.06±0.75比54.11±1.52）均显著低于CG组(p)。结论：本研究首次将绿色综合策略与临床多维度评价相结合，显示了MNPs-TDDS在缓解疼痛、改善心理状态、增强日常生活能力等方面的综合优势。这种方法为肿瘤相关疼痛的精确治疗提供了一种创新的解决方案。未来的研究应进一步验证其在各种癌症类型中的长期安全性和适用性。

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引用次数: 0

Effect and toxicity of PF chemotherapy combined with radiotherapy in the treatment of advanced cervical cancer: Medical thermography test PF化疗联合放疗治疗晚期宫颈癌的疗效及毒性：医学热成像试验。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-08-01 Epub Date: 2025-07-01 DOI: 10.1016/j.slast.2025.100327

Caixia Gou , Wang Qi , Pengbing Han , Chunlin Zhang

Cancer is one of the leading causes of death worldwide, and treatment options and prognosis for patients with advanced cancer are particularly challenging. PF chemotherapy regimen (the combination of cisplatin and 5-fluorouracil) has been widely used in the treatment of a variety of cancers, and radiotherapy as a local treatment can effectively control tumor growth. This is a prospective clinical trial in which patients were treated with PF chemotherapy combined with radiotherapy. Medical thermal imaging was performed on all patients before, during and after treatment. The examination process involves recording the patient's body surface temperature using a highly sensitive infrared camera and analyzing temperature changes in the tumor area and surrounding tissue. Clinical data on patients were also collected, including treatment response, quality of life scores, and reports of toxic and side effects. Preliminary results showed that PF chemotherapy combined with radiotherapy showed a positive effect in controlling tumor growth, and most patients experienced a reduction in tumor volume. Medical thermal image examination revealed significant changes in tumor area temperature during treatment, which correlated with tumor reactivity. In some cases, thermal imagery shows potential skin and mucosal damage in advance, suggesting the need for early intervention. Thermal imagery also helped assess the impact of treatment on patients' quality of life, such as pain and discomfort by looking at changes in the patient's body surface temperature distribution.

癌症是世界范围内导致死亡的主要原因之一，晚期癌症患者的治疗选择和预后尤其具有挑战性。PF化疗方案（顺铂联合5-氟尿嘧啶）已广泛应用于多种癌症的治疗，而放疗作为局部治疗可有效控制肿瘤生长。这是一项前瞻性临床试验，患者接受PF化疗联合放疗。所有患者在治疗前、治疗中、治疗后均行医学热成像检查。检查过程包括使用高灵敏度红外摄像机记录患者体表温度，并分析肿瘤区域和周围组织的温度变化。还收集了患者的临床数据，包括治疗反应、生活质量评分和毒副反应报告。初步结果显示，PF化疗联合放疗对控制肿瘤生长有积极作用，大多数患者肿瘤体积减小。医学热像检查显示治疗期间肿瘤区域温度有明显变化，与肿瘤反应性相关。在某些情况下，热成像可以提前显示潜在的皮肤和粘膜损伤，提示需要早期干预。热成像还有助于评估治疗对患者生活质量的影响，例如通过观察患者体表温度分布的变化来评估疼痛和不适。

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引用次数: 0

Clinical observation and evaluation of health management intervention in controlling senile chronic diseases such as hyperlipidemia 健康管理干预控制老年高脂血症等慢性病的临床观察与评价。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-08-01 Epub Date: 2025-06-19 DOI: 10.1016/j.slast.2025.100318

Hongxia Liu

Irregular diet, lack of exercise, and poor sleep quality have led to various diseases, with chronic conditions like hyperlipidemia being most common among the elderly. With advances in the medical Internet of Things (MIoT), medical data now supports more effective care strategies. Health management intervention, as a novel approach, aims to improve elderly patients’ understanding and management of chronic diseases. In this study, 200 elderly patients with hyperlipidemia were randomly divided into a control group (routine care) and an experimental group (health management intervention). Results showed that health knowledge mastery improved significantly with intervention—rising from 61.8 % to 74.4 % in males and from 56.8 % to 71.6 % in females. Thus, health management intervention based on medical data effectively enhances patients’ health literacy.

饮食不规律、缺乏锻炼和睡眠质量差导致了各种疾病，高脂血症等慢性疾病在老年人中最常见。随着医疗物联网（MIoT）的发展，医疗数据现在支持更有效的护理策略。健康管理干预作为一种新的干预手段，旨在提高老年患者对慢性疾病的认识和管理。本研究将200例老年高脂血症患者随机分为对照组（常规护理）和实验组（健康管理干预）。结果显示，干预后健康知识掌握水平显著提高，男性从61.8%提高到74.4%，女性从56.8%提高到71.6%。因此，基于医疗数据的健康管理干预有效地提高了患者的健康素养。

引用次数: 0