Porphyrin-lipid stabilized paclitaxel nanoemulsion for combined photodynamic therapy and chemotherapy

Abstract Background Porphyrin-lipids are versatile building blocks that enable cancer theranostics and have been applied to create several multimodal nanoparticle platforms, including liposome-like porphysome (aqueous-core), porphyrin nanodroplet (liquefied gas-core), and ultrasmall porphyrin lipoproteins. Here, we used porphyrin-lipid to stabilize the water/oil interface to create porphyrin-lipid nanoemulsions with paclitaxel loaded in the oil core (PLNE-PTX), facilitating combination photodynamic therapy (PDT) and chemotherapy in one platform. Results PTX (3.1 wt%) and porphyrin (18.3 wt%) were loaded efficiently into PLNE-PTX, forming spherical core–shell nanoemulsions with a diameter of 120 nm. PLNE-PTX demonstrated stability in systemic delivery, resulting in high tumor accumulation (~ 5.4 ID %/g) in KB-tumor bearing mice. PLNE-PTX combination therapy inhibited tumor growth (78%) in an additive manner, compared with monotherapy PDT (44%) or chemotherapy (46%) 16 days post-treatment. Furthermore, a fourfold reduced PTX dose (1.8 mg PTX/kg) in PLNE-PTX combination therapy platform demonstrated superior therapeutic efficacy to Taxol at a dose of 7.2 mg PTX/kg, which can reduce side effects. Moreover, the intrinsic fluorescence of PLNE-PTX enabled real-time tracking of nanoparticles to the tumor, which can help inform treatment planning. Conclusion PLNE-PTX combining PDT and chemotherapy in a single platform enables superior anti-tumor effects and holds potential to reduce side effects associated with monotherapy chemotherapy. The inherent imaging modality of PLNE-PTX enables real-time tracking and permits spatial and temporal regulation to improve cancer treatment. Graphic Abstract

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An Overview of Data Aggregation Architecture for Real-Time Tracking with Sensor Networks

10.21236/ada446929 ◽

2006 ◽

Cited By ~ 8

Author(s):

Tian He ◽

Lin Gu ◽

Liqian Luo ◽

Ting Yan ◽

John A. Stankovic ◽

...

Keyword(s):

Sensor Networks ◽

Real Time ◽

Data Aggregation ◽

Real Time Tracking

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A Sequential Monte Carlo Method for Real-time Tracking of Multiple Targets

10.21236/ada532576 ◽

2010 ◽

Author(s):

Scott T. Acton ◽

Bing Li

Keyword(s):

Monte Carlo ◽

Monte Carlo Method ◽

Real Time ◽

Sequential Monte Carlo ◽

Multiple Targets ◽

Sequential Monte Carlo Method ◽

Real Time Tracking

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Natural, Synthetic and their Combinatorial Nanocarriers Based Drug Delivery System in the Treatment Paradigm for Wound Healing Via Dermal Targeting

Current Pharmaceutical Design ◽

10.2174/1381612826666200612164511 ◽

2020 ◽

Vol 26 (36) ◽

pp. 4551-4568

Author(s):

Mohammad Kashif Iqubal ◽

Sadaf Saleem ◽

Ashif Iqubal ◽

Aiswarya Chaudhuri ◽

Faheem Hyder Pottoo ◽

...

Keyword(s):

Drug Delivery ◽

Wound Healing ◽

Photodynamic Therapy ◽

Growth Factors ◽

Combination Therapy ◽

Healing Process ◽

Wound Healing Process ◽

Wound Site ◽

Synthetic Drugs ◽

Treatment Paradigm

A wound refers to the epithelial loss, accompanied by loss of muscle fibers collagen, nerves and bone instigated by surgery, trauma, frictions or by heat. Process of wound healing is a compounded activity of recovering the functional integrity of the damaged tissues. This process is mediated by various cytokines and growth factors usually liberated at the wound site. A plethora of herbal and synthetic drugs, as well as photodynamic therapy, is available to facilitate the process of wound healing. Generally, the systems used for the management of wounds tend to act through covering the ruptured site, reduce pain, inflammation, and prevent the invasion and growth of microorganisms. The available systems are, though, enough to meet these requirements, but the involvement of nanotechnology can ameliorate the performance of these protective coverings. In recent years, nano-based formulations have gained immense popularity among researchers for the wound healing process due to the enhanced benefits they offer over the conventional preparations. Hereupon, this review aims to cover the entire roadmap of wound healing, beginning from the molecular factors involved in the process, the various synthetic and herbal agents, and combination therapy available for the treatment and the current nano-based systems available for delivery through the topical route for wound healing.

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Enhancing spatial perception through sound: mapping human movements into MIDI

Multimedia Tools and Applications ◽

10.1007/s11042-021-11077-7 ◽

2021 ◽

Author(s):

Bernardo Breve ◽

Stefano Cirillo ◽

Mariano Cuofano ◽

Domenico Desiato

Keyword(s):

Real Time ◽

User Study ◽

Spatial Perception ◽

Human Movements ◽

Different Types ◽

Real Time Tracking ◽

People’S Perceptions ◽

Novel Algorithm

AbstractGestural expressiveness plays a fundamental role in the interaction with people, environments, animals, things, and so on. Thus, several emerging application domains would exploit the interpretation of movements to support their critical designing processes. To this end, new forms to express the people’s perceptions could help their interpretation, like in the case of music. In this paper, we investigate the user’s perception associated with the interpretation of sounds by highlighting how sounds can be exploited for helping users in adapting to a specific environment. We present a novel algorithm for mapping human movements into MIDI music. The algorithm has been implemented in a system that integrates a module for real-time tracking of movements through a sample based synthesizer using different types of filters to modulate frequencies. The system has been evaluated through a user study, in which several users have participated in a room experience, yielding significant results about their perceptions with respect to the environment they were immersed.

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Real-time tracking lysosomal pH changes under heatstroke and redox stress with a novel near-infrared emissive probe

Talanta ◽

10.1016/j.talanta.2021.122184 ◽

2021 ◽

Vol 228 ◽

pp. 122184

Author(s):

Qingfeng Xia ◽

Shumin Feng ◽

Jiaxin Hong ◽

Guoqiang Feng

Keyword(s):

Real Time ◽

Near Infrared ◽

Redox Stress ◽

Lysosomal Ph ◽

Ph Changes ◽

Real Time Tracking ◽

Emissive Probe

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Unmanned aerial vehicle reconnaissance image recognition based on convolutional neural network

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-219086 ◽

2021 ◽

pp. 1-10

Author(s):

Lipeng Si ◽

Baolong Liu ◽

Yanfang Fu

Keyword(s):

Neural Network ◽

Real Time ◽

Image Recognition ◽

Error Detection ◽

Convolution Neural Network ◽

Data Sets ◽

Small Target ◽

Network Algorithm ◽

Neural Network Algorithm ◽

Real Time Tracking

The important strategic position of military UAVs and the wide application of civil UAVs in many fields, they all mark the arrival of the era of unmanned aerial vehicles. At present, in the field of image research, recognition and real-time tracking of specific objects in images has been a technology that many scholars continue to study in depth and need to be further tackled. Image recognition and real-time tracking technology has been widely used in UAV aerial photography. Through the analysis of convolution neural network algorithm and the comparison of image recognition technology, the convolution neural network algorithm is improved to improve the image recognition effect. In this paper, a target detection technique based on improved Faster R-CNN is proposed. The algorithm model is implemented and the classification accuracy is improved through Faster R-CNN network optimization. Aiming at the problem of small target error detection and scale difference in aerial data sets, this paper designs the network structure of RPN and the optimization scheme of related algorithms. The structure of Faster R-CNN is adjusted by improving the embedding of CNN and OHEM algorithm, the accuracy of small target and multitarget detection is improved as a whole. The experimental results show that: compared with LENET-5, the recognition accuracy of the proposed algorithm is significantly improved. And with the increase of the number of samples, the accuracy of this algorithm is 98.9%.

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