{"title":"FePt/MnO2@PEG Nanoparticles as Multifunctional Radiosensitizers for Enhancing Ferroptosis and Alleviating Hypoxia in Osteosarcoma Therapy","authors":"Zhipeng Han;Yiyan Wang;Xiaofang Zang;Hong Liu;Jiqing Su;Yong Zhou","doi":"10.1109/TNB.2024.3475051","DOIUrl":"10.1109/TNB.2024.3475051","url":null,"abstract":"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.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 2","pages":"180-190"},"PeriodicalIF":3.7,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10714494","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142406374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diplesh Gautam;Yashika Tomar;Pradeep Shukla;Vamshi Krishna Rapalli;Venkatesh K. P. Rao;Gautam Singhvi
{"title":"Influence of Nanocarrier Additives on Biomechanical Response of a Rat Skin","authors":"Diplesh Gautam;Yashika Tomar;Pradeep Shukla;Vamshi Krishna Rapalli;Venkatesh K. P. Rao;Gautam Singhvi","doi":"10.1109/TNB.2024.3471588","DOIUrl":"10.1109/TNB.2024.3471588","url":null,"abstract":"Skin health monitoring focuses on identifying diseases by assessing the mechanical properties of the skin. These properties may degrade with time, which can alter the skin’s natural frequencies and the modeshapes 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 is 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.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 2","pages":"191-199"},"PeriodicalIF":3.7,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142375388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hassan A. Almarshad;Abozer Elderdery;Fawaz O. Alenazy;Shawgi A. Elissidig
{"title":"Impact of Gold Nanoparticles Intraperitoneal Injection on Mice’s Erythrocytes and Renal Tissue","authors":"Hassan A. Almarshad;Abozer Elderdery;Fawaz O. Alenazy;Shawgi A. Elissidig","doi":"10.1109/TNB.2024.3471813","DOIUrl":"10.1109/TNB.2024.3471813","url":null,"abstract":"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.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 2","pages":"174-179"},"PeriodicalIF":3.7,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142371713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of Anomalous Diffusion Phenomenon on Molecular Information Delivery in Bounded Environment","authors":"Lokendra Chouhan","doi":"10.1109/TNB.2024.3467695","DOIUrl":"10.1109/TNB.2024.3467695","url":null,"abstract":"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 <inline-formula> <tex-math>$+{x}$ </tex-math></inline-formula> 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.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 2","pages":"165-173"},"PeriodicalIF":3.7,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142345830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PCF-Based Sensors for Biomedical Applications: A Review","authors":"Sushma Sawraj;Dharmendra Kumar;Ram Pravesh;Vijay Shanker Chaudhary;Bramha Prasad Pandey;Sneha Sharma;Santosh Kumar","doi":"10.1109/TNB.2024.3462748","DOIUrl":"10.1109/TNB.2024.3462748","url":null,"abstract":"The article provides a comprehensive overview of the current and future advances of Photonic crystal fiber (PCF) based biosensors, the research explores the impact of structural parameter variations on phase matching conditions, by investigating pitch, air hole diameter, and gold layer thickness. Currently, these surface plasmon resonance (SPR) biosensors demonstrate the ability to detect a range of biological substances such as glucose, pH, serum proteins, and similar chemicals. They have the capacity to directly identify bio-components in urine, blood, and saliva, as well as pathogens, bacteria, and contaminants in food, water, and air. The study investigates by presenting the fundamental principles of PCF biosensors, highlighting their comparative benefits over conventional biosensors. Recent studies utilizing PCF biosensors for various application are reviewed, the findings of the review suggest that the integration of SPR enhances the sensing capabilities of these biosensors, making them promising tools for diverse applications in the field of biosensing.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 2","pages":"157-164"},"PeriodicalIF":3.7,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142250066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiaohua Wan;Yulong Hu;Dehui Qiu;Juan Zhang;Xiaotong Wang;Fa Zhang;Bin Hu
{"title":"A Novel Framework for Tongue Feature Extraction Framework Based on Sublingual Vein Segmentation","authors":"Xiaohua Wan;Yulong Hu;Dehui Qiu;Juan Zhang;Xiaotong Wang;Fa Zhang;Bin Hu","doi":"10.1109/TNB.2024.3462461","DOIUrl":"10.1109/TNB.2024.3462461","url":null,"abstract":"The features of the sublingual veins, including swelling, varicose patterns, and cyanosis, are pivotal in differentiating symptoms and selecting treatments in Traditional Chinese Medicine (TCM) tongue diagnosis. These features serve as a crucial reflection of the human blood circulation status. Nevertheless, the automatic and precise extraction of sublingual vein features remains a formidable challenge, constrained by the scarcity of datasets for sublingual images and the interference of noise from non-tongue and non-sublingual vein elements. In this paper, we present an innovative tongue feature extraction method that relies on focusing specifically on segmenting the sublingual vein rather than the entire tongue base. To achieve this, we have developed a sublingual vein segmentation framework utilizing a Polyp-PVT network, effectively eliminating noise from the surrounding regions of the sublingual vein. Furthermore, we pioneer the utilization of a transformer-based approach, such as the Swin-Transformer network, to extract sublingual vein features, leveraging the remarkable capabilities of transformer networks. To complement our methodology, we have constructed a comprehensive dataset of sublingual vein images, facilitating the segmentation and classification of sublingual veins. Experimental results have demonstrated that our tongue feature extraction method, coupled with sublingual vein segmentation, significantly outperforms existing tongue feature extraction techniques.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 3","pages":"269-279"},"PeriodicalIF":3.7,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142250067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Molecular Communication-Based Intelligent Dopamine Rate Modulator for Parkinson’s Disease Treatment","authors":"Elham Baradari;Ozgur B. Akan","doi":"10.1109/TNB.2024.3456031","DOIUrl":"10.1109/TNB.2024.3456031","url":null,"abstract":"Parkinson’s disease (PD) is a progressive neurodegenerative disease, and it is caused by the loss of dopaminergic neurons in the basal ganglia (BG). Currently, there is no definite cure for PD, and available treatments mainly aim to alleviate its symptoms. Due to impaired neurotransmitter-based information transmission in PD, molecular communication-based approaches can be employed as potential solutions to address this issue. Molecular Communications (MC) is a bio-inspired communication method utilizing molecules to carry information. This mode of communication stands out for developing bio-compatible nanomachines for diagnosing and treating, particularly in addressing neurodegenerative diseases like PD, due to its compatibility with biological systems. This study presents a novel treatment method that introduces an Intelligent Dopamine Rate Modulator (IDRM), which is located in the synaptic gap between the substantia nigra pars compacta (SNc) and striatum to compensate for insufficiency dopamine release in BG caused by PD. For storing dopamine in the IDRM, dopamine compound (DAC) is swallowed and crossed through the digestive system, blood circulatory system, blood-brain barrier (BBB), and brain extracellular matrix uptakes with IDRMs. Here, the DAC concentration is calculated in these regions, revealing that the required exogenous dopamine consistently reaches IDRM. Therefore, the perpetual dopamine insufficiency in BG associated with PD can be compensated. This method reduces drug side effects because dopamine is not released in other brain regions. Unlike other treatments, this approach targets the root cause of PD rather than just reducing symptoms.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 2","pages":"136-144"},"PeriodicalIF":3.7,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"State Observer Synchronization of Three-Dimensional Chaotic Oscillatory Systems Based on DNA Strand Displacement","authors":"Zicheng Wang;Haojie Wang;Yanfeng Wang;Junwei Sun","doi":"10.1109/TNB.2024.3457755","DOIUrl":"10.1109/TNB.2024.3457755","url":null,"abstract":"Currently, DNA strand displacement (DSD) as the theoretical basis of DNA chemical reaction networks (CRNs) has promoted the development of chaotic synchronization technique. This paper introduces the synchronization technology of two isomorphic three-dimensional chaotic systems based on DNA strand displacement under state observer. By studying the theoretical knowledge of DNA molecules, multiple DSD reactions are used to construct three-dimensional chaotic system. Based on two isomorphic chaotic systems, the linear transformation system and the state observer system are designed according to the theory of state observer construction. In addition, in order to realize the synchronization of chaotic systems, a coupling controller is designed between the drive system and the linear transformation system, and a soft variable-structure controller is designed between the state observer system and the response system. Through multiple DSD reactions, the chemical reaction networks of four chaotic systems and two controllers are constructed, and they are cascaded to realize the synchronization of two isomorphic three-dimensional chaotic systems. Numerical simulations verify the effectiveness and robustness of the scheme. Our work will extend and provide a reference for new methods to achieve synchronization of chaotic systems using DSD.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 2","pages":"145-156"},"PeriodicalIF":3.7,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Strategic Multi-Omics Data Integration via Multi-Level Feature Contrasting and Matching","authors":"Jinli Zhang;Hongwei Ren;Zongli Jiang;Zheng Chen;Ziwei Yang;Yasuko Matsubara;Yasushi Sakurai","doi":"10.1109/TNB.2024.3456797","DOIUrl":"10.1109/TNB.2024.3456797","url":null,"abstract":"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%.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"23 4","pages":"579-590"},"PeriodicalIF":3.7,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abdullah Baz;Jacob Wekalao;Ngaira Mandela;Shobhit K. Patel
{"title":"Design and Performance Evaluation of Machine Learning-Based Terahertz Metasurface Chemical Sensor","authors":"Abdullah Baz;Jacob Wekalao;Ngaira Mandela;Shobhit K. Patel","doi":"10.1109/TNB.2024.3453372","DOIUrl":"10.1109/TNB.2024.3453372","url":null,"abstract":"This paper presents a terahertz metasurface based sensor design incorporating graphene and other plasmonic materials for highly sensitive detection of different chemicals. The proposed sensor employs the combination of multiple resonator designs - including circular and square ring resonators - to attain enhanced sensitivity among other performance parameters. Machine learning techniques like Random Forest regression, are employed to enhance the sensor design and predict its performance. The optimized sensor demonstrates excellent sensitivity of 417 GHzRIU<inline-formula> <tex-math>$^{mathbf {-{1}}}$ </tex-math></inline-formula> and a low detection limit of 0.264 RIU for ethanol and benzene detection. Furthermore, the integration of machine learning cuts down the simulation time and computational requirements by approximately 90% without compromising accuracy. The sensor’s unique design and performance characteristics, including its high-quality factor of 14.476, position it as a promising candidate for environmental monitoring and chemical sensing applications. Moreover, it also demonstrates potential for 2-bit encoding applications through strategic modulation of graphene chemical potential values. On the other hand, it also shows prospects of 2-bit encoding applications via the modulation of graphene chemical. This work provides a major advancement to the terahertz sensing application by proposing new materials, structures, and methods in computation in order to develop a high-performance chemical sensor.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 2","pages":"128-135"},"PeriodicalIF":3.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142125606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}