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IEEE Transactions on NanoBioscience Information for Authors 电气和电子工程师学会《纳米生物科学学报》为作者提供的信息
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-10-15 DOI: 10.1109/TNB.2024.3460103
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引用次数: 0
FePt/MnO2@PEG Nanoparticles as Multifunctional Radiosensitizers for Enhancing Ferroptosis and Alleviating Hypoxia in Osteosarcoma Therapy. 作为多功能放射增敏剂的FePt/MnO2@PEG纳米颗粒可在骨肉瘤治疗中增强铁素体生成和缓解缺氧。
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-10-11 DOI: 10.1109/TNB.2024.3475051
Zhipeng Han, Yiyan Wang, Xiaofang Zang, Hong Liu, Jiqing Su, Yong Zhou

Radiotherapy (RT) is a widely used cancer treatment, and the use of metal-based nanoradiotherapy sensitizers has demonstrated promise in enhancing its efficacy. However, achieving effective accumulation of these sensitizers within tumors and overcoming resistance induced by the hypoxic tumor microenvironment remain challenging issues. In this study, we developed FePt/MnO2@PEG nanoparticles with multiple radiosensitizing mechanisms, including high-atomic-number element-mediated radiation capture, catalase-mimicking oxygenation, and GSH depletion-induced ferroptosis. Both in vitro and in vivo experiments were conducted to validate the radiosensitizing mechanisms and therapeutic efficacy of FePt/MnO2@PEG. In conclusion, this study presents a novel and clinically relevant strategy and establishes a safe and effective combination radiotherapy approach for cancer treatment. These findings hold significant potential for improving radiotherapy outcomes and advancing the field of nanomedicine in cancer therapy.

放疗(RT)是一种广泛应用的癌症治疗方法,而使用金属基纳米放疗增敏剂则有望提高其疗效。然而,实现这些增敏剂在肿瘤内的有效积累以及克服缺氧肿瘤微环境诱导的抗药性仍然是具有挑战性的问题。在这项研究中,我们开发了具有多种放射增敏机制的FePt/MnO2@PEG纳米粒子,包括高原子序数元素介导的辐射捕获、催化酶模拟氧合和GSH耗竭诱导的铁跃迁。通过体外和体内实验验证了 FePt/MnO2@PEG 的放射增敏机制和疗效。总之,本研究提出了一种新颖且与临床相关的策略,并建立了一种安全有效的癌症联合放疗方法。这些发现为改善放疗效果和推进纳米医学在癌症治疗领域的应用提供了巨大的潜力。
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引用次数: 0
Influence of nanocarrier additives on biomechanical response of a rat skin. 纳米载体添加剂对大鼠皮肤生物力学反应的影响
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-10-04 DOI: 10.1109/TNB.2024.3471588
Diplesh Gautam, Yashika Tomar, Pradeep Shukla, Vamshi Krishna Rapalli, Venkatesh Kp Rao, Gautam Singhvi

Skin health monitoring focuses on identifying diseases through the assessment of the mechanical properties of the skin. These properties may degrade with time, which can alter the skin's natural frequencies and the form of the modes associated with those frequencies. Exploring the skin's mechanical properties can enhance our understanding of its dynamics, improving clinical trials and diagnostics. In this work, the dynamics of the skin were measured using a laser-based non-invasive optical sensor experiment. We measured the skin's mechanical properties over time by analyzing its resonant frequencies and mode shapes. A nanocarrier gel and ketoconazole cream were topically applied to keep the skin hydrated and facilitate deeper penetration of the additives in the skin. Time-based research was used to assess the effect of different formulations on skin elasticity. Experimental results for the modulus of elasticity were compared with those obtained using Finite Element Analysis (FEA) simulations. We observed a reduction in frequencies of cream and gel-treated skin by 29.98% and 44.029% respectively compared to normal skin (frequency: 263.3 ± 1.18 Hz and Modulus of elasticity: 7.56 ± 2.60 MPa). A decrease in stiffness (function of frequency) attributed to increased water content, was observed in cream- and nanocarrier gel-treated skin compared to normal skin. Experimental and numerical results are found to be consistent with one another. This optical sensor-based approach has the potential for studying diseased skin mechanics and its response to gel and cream treatments, aiming to reduce skin disorder morbidity and severity.

皮肤健康监测的重点是通过评估皮肤的机械特性来识别疾病。这些特性可能会随着时间的推移而退化,从而改变皮肤的自然频率以及与这些频率相关的模态形式。探索皮肤的机械特性可以增强我们对皮肤动态的了解,从而改进临床试验和诊断。在这项工作中,我们使用基于激光的非侵入式光学传感器实验测量了皮肤的动态特性。我们通过分析皮肤的共振频率和模态形状,测量了皮肤随时间变化的机械特性。我们局部涂抹了纳米载体凝胶和酮康唑乳膏,以保持皮肤水分,促进添加剂在皮肤中的深层渗透。基于时间的研究用于评估不同配方对皮肤弹性的影响。弹性模量的实验结果与有限元分析(FEA)模拟得出的结果进行了比较。我们观察到,与正常皮肤相比,膏霜和凝胶处理皮肤的频率分别降低了 29.98% 和 44.029%(频率:263.3 ± 1.18 Hz,弹性模量:7.56 ± 2.60 MPa)。与正常皮肤相比,经过乳霜和纳米载体凝胶处理的皮肤刚度(频率函数)下降,这归因于含水量的增加。实验结果和数值结果是一致的。这种基于光学传感器的方法可用于研究病变皮肤力学及其对凝胶和乳霜治疗的反应,从而降低皮肤病的发病率和严重程度。
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引用次数: 0
Impact of Gold Nanoparticles Intraperitoneal Injection on Mice's Erythrocytes and Renal Tissue. 金纳米粒子腹腔注射对小鼠红细胞和肾组织的影响
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-10-03 DOI: 10.1109/TNB.2024.3471813
Hassan A Almarshad, Abozer Elderdery, Fawaz O Alenazy, Shawgi A Elissidig

The purpose of this study was to investigate the effects of two different types of gold nanoparticles (AuNPs) delivered by intraperitoneal (IP) injection on blood and kidney tissue changes in a mouse model. Three groups of fifteen adult male BALB/c healthy mice, weighing approximately 25-30 g, were used for the experiment and designated G1, G2, and G3, respectively. G1 mice received vehicle, whereas G2 and G3 received an IP injection of 10 mg/kg body weight of methoxy poly ethylene glycol gold nanoparticles (PEG-AuNPs) and fluorescently dye labeled gold nanoparticles (Dye-AuNPs), respectively. Hematological parameters were measured based on the standard complete blood cell count (CBC) technique. The two nanoparticles, i.e., PEG-AuNPs and Dye-AuNPs, significantly reduced most red blood cell (RBC) parameters in the groups with the exception of a nonsignificant effect on hemoglobin (HBG) levels. Both gold nanoparticles, i.e., PEG-AuNPs and Dye-AuNPs, led to a reduced RBC count, mean corpuscular volume (MCV), and mean corpuscular hemoglobin (MCH) level when compared with the control. Notably, Dye-AuNPs and PEG-AuNPs resulted in a considerably higher RBC distribution RDW-(CV % and SD fL). Glomerular injury was suggested based on the development of hydropic degeneration and the presence of a protein-rich fluid inside the tubules. Renal tissue and blood indices changed significantly in response to the two nanoparticles, suggesting possible organ injury.

本研究旨在探讨通过腹腔注射(IP)给药的两种不同类型的金纳米粒子(AuNPs)对小鼠模型的血液和肾脏组织变化的影响。实验使用了三组 15 只成年雄性 BALB/c 健康小鼠(体重约 25-30 克),分别命名为 G1、G2 和 G3。G1 小鼠接受药物治疗,而 G2 和 G3 则分别接受 10 mg/kg 体重的甲氧基聚乙二醇金纳米颗粒(PEG-AuNPs)和荧光染料标记金纳米颗粒(Dye-AuNPs)的 IP 注射。血液学参数根据标准全血细胞计数(CBC)技术进行测量。除对血红蛋白(HBG)水平无显著影响外,PEG-AuNPs 和 Dye-AuNPs 这两种纳米粒子能显著降低各组的大多数红细胞(RBC)参数。与对照组相比,PEG-AuNPs 和 Dye-AuNPs 这两种金纳米粒子都会导致红细胞计数、平均血球容积 (MCV) 和平均血红蛋白 (MCH) 水平降低。值得注意的是,Dye-AuNPs 和 PEG-AuNPs 导致 RBC 分布 RDW-(CV % 和 SD fL)显著升高。肾小球损伤是基于肾小管内出现水肿变性和富含蛋白质的液体。肾组织和血液指数在两种纳米颗粒的作用下发生了显著变化,表明可能存在器官损伤。
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引用次数: 0
Impact of Anomalous Diffusion Phenomenon on Molecular Information Delivery in Bounded Environment. 反常扩散现象对有界环境中分子信息传递的影响
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-25 DOI: 10.1109/TNB.2024.3467695
Lokendra Chouhan

Through this paper, a three-dimensional molecular communication (MC) inside a cuboid container is considered. Instead of normal diffusion phenomenon, the anomalous diffusion phenomenon is incorporated which enhances the practicability of the model. The Fick's law is re-defined for the considering rectangular coordinate system in which information carrying molecules (ICMs) diffuse anomalously in the environment. The impact of flow of the fluid along the +x direction in the environment is also considered. Moreover, considering free propagator phenomenon, the expressions of spatio-temporal probability density function (PDF) of the ICMs is derived for the considered model. Further, the novel closed-form expressions for first arrival time density (FATD) of the ICM, survival probability (SP) at any time, and its corresponding first arrival probability (FAP) are also derived. Furthermore, the considered MC model is also analyzed in terms of minimum bit-error-rate (BER) using log-likelihood ratio test (LLRT) optimal detector. The derived expressions are verified using MATLAB based particle-based and Monte-Carlo simulations.

本文考虑了立方体容器内的三维分子通讯(MC)。模型中不再使用正常扩散现象,而是加入了反常扩散现象,从而提高了模型的实用性。在考虑到信息携带分子(ICM)在环境中异常扩散的矩形坐标系中,重新定义了菲克定律。还考虑了流体沿 +x 方向在环境中流动的影响。此外,考虑到自由传播者现象,推导出了所考虑模型中 ICM 的时空概率密度函数 (PDF) 表达式。此外,还推导出了 ICM 的首次到达时间密度 (FATD)、任意时间的存活概率 (SP) 及其相应的首次到达概率 (FAP) 的新型闭式表达式。此外,还使用对数似然比检验(LLRT)最佳检测器分析了所考虑的 MC 模型的最小误码率(BER)。推导出的表达式通过基于 MATLAB 的粒子模拟和蒙特卡罗模拟进行了验证。
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引用次数: 0
PCF-based Sensors for Biomedical Applications-A Review 基于 PCF 的生物医学应用传感器--综述
IF 3.9 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-17 DOI: 10.1109/tnb.2024.3462748
Sushma Sawraj, Dharmendra Kumar, Ram Pravesh, Vijay Shanker Chaudhary, Bramha Prasad Pandey, Sneha Sharma, Santosh Kumar
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引用次数: 0
A novel framework for tongue feature extraction framework based on sublingual vein segmentation 基于舌下静脉分割的新型舌头特征提取框架
IF 3.9 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-17 DOI: 10.1109/tnb.2024.3462461
Xiaohua Wan, Yulong Hu, Dehui Qiu, Juan Zhang, Xiaotong Wang, Fa Zhang, Bin Hu
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引用次数: 0
Molecular Communication-Based Intelligent Dopamine Rate Modulator for Parkinson’s Disease Treatment 用于帕金森病治疗的基于分子通讯的智能多巴胺速率调节器
IF 3.9 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-12 DOI: 10.1109/tnb.2024.3456031
Elham Baradari, Ozgur B Akan
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引用次数: 0
State Observer Synchronization of Three-dimensional Chaotic Oscillatory Systems Based on DNA Strand Displacement 基于 DNA 链位移的三维混沌振荡系统的状态观测器同步化
IF 3.9 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-11 DOI: 10.1109/tnb.2024.3457755
Zicheng Wang, Haojie Wang, Yanfeng Wang, Junwei Sun
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引用次数: 0
Strategic Multi-Omics Data Integration via Multi-Level Feature Contrasting and Matching 通过多层次特征对比和匹配实现战略性多传感器数据整合
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-10 DOI: 10.1109/TNB.2024.3456797
Jinli Zhang;Hongwei Ren;Zongli Jiang;Zheng Chen;Ziwei Yang;Yasuko Matsubara;Yasushi Sakurai
The analysis and comprehension of multi-omics data has emerged as a prominent topic in the field of bioinformatics and data science. However, the sparsity characteristics and high dimensionality of omics data pose difficulties in terms of extracting meaningful information. Moreover, the heterogeneity inherent in multiple omics sources makes the effective integration of multi-omics data challenging To tackle these challenges, we propose MFCC-SAtt, a multi-level feature contrast clustering model based on self-attention to extract informative features from multi-omics data. MFCC-SAtt treats each omics type as a distinct modality and employs autoencoders with self-attention for each modality to integrate and compress their respective features into a shared feature space. By utilizing a multi-level feature extraction framework along with incorporating a semantic information extractor, we mitigate optimization conflicts arising from different learning objectives. Additionally, MFCC-SAtt guides deep clustering based on multi-level features which further enhances the quality of output labels. By conducting extensive experiments on multi-omics data, we have validated the exceptional performance of MFCC-SAtt. For instance, in a pan-cancer clustering task, MFCC-SAtt achieved an accuracy of over 80.38%.
多组学数据的分析和理解已成为生物信息学和数据科学领域的一个重要课题。然而,omics 数据的稀疏性和高维性给提取有意义的信息带来了困难。为了应对这些挑战,我们提出了基于自我关注的多级特征对比聚类模型 MFCC-SAtt,以从多组学数据中提取信息特征。MFCC-SAtt 将每种 omics 类型视为一种不同的模态,并针对每种模态采用具有自我注意功能的自动编码器,将它们各自的特征整合并压缩到一个共享特征空间中。通过利用多层次特征提取框架和语义信息提取器,我们缓解了不同学习目标带来的优化冲突。此外,MFCC-SAtt 还能引导基于多层次特征的深度聚类,从而进一步提高输出标签的质量。通过在多组学数据上进行大量实验,我们验证了 MFCC-SAtt 的卓越性能。例如,在泛癌症聚类任务中,MFCC-SAtt 的准确率超过了 80.38%。
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IEEE Transactions on NanoBioscience
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