Ant-Behavior Inspired Intelligent NanoNet for Targeted Drug Delivery in Cancer Therapy

Targeted drug delivery system is believed as one of the most promising solutions for cancer treatment due to its low-dose requirement and less side effects. However, both passive targeting and active targeting rely on systemic blood circulation and diffusion, which is actually not the real “active” drug delivery. In this paper, an ant-behavior inspired nanonetwork composing of intelligent nanomachines is proposed. A big intelligent nanomachine take small intelligent nanomachines and drugs to the vicinity of of the tumor area. The small intelligent nanomachines can coordinate with each other to find the most effective path to the tumor cell for drug transportation. The framework and mechanism of this cooperative network are proposed. The route finding algorithm is presented. The convergence performance is analytically analyzed where the influence of the factors such as molecule degradation rate, home-destination distance, number of small nanomachines to the convergence is presented. Finally the simulation results validate the effectiveness of the proposed mechanism and analytical analysis.

[1]  P. Gullino,et al.  THE INTERSTITIAL FLUID OF SOLID TUMORS. , 1964, Cancer research.

[2]  Hamid Cheshmi.  Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers , 2011 .

[3]  T. Iwamoto.  Clinical application of drug delivery systems in cancer chemotherapy: review of the efficacy and side effects of approved drugs. , 2013, Biological & pharmaceutical bulletin.

[4]  Jian Yang,et al.  A Mathematical Model of Non-Diffusion-Based Mobile Molecular Communication Networks , 2017, IEEE Communications Letters.

[5]  Vahid Jamali,et al.  Diffusive Mobile MC for Controlled-Release Drug Delivery with Absorbing Receiver , 2018, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

[6]  Manuel López-Ibáñez,et al.  Ant colony optimization , 2010, GECCO '10.

[7]  Xiaoyang Xu,et al.  Cancer nanotechnology: the impact of passive and active targeting in the era of modern cancer biology. , 2014, Advanced drug delivery reviews.

[8]  E. Fullerton,et al.  Cargo-towing fuel-free magnetic nanoswimmers for targeted drug delivery. , 2012, Small.

[9]  Zhiguang Wu,et al.  Self-propelled polymer-based multilayer nanorockets for transportation and drug release. , 2013, Angewandte Chemie.

[10]  Masoumeh Nasiri-Kenari,et al.  Early Cancer Detection in Blood Vessels Using Mobile Nanosensors , 2018, IEEE Transactions on NanoBioscience.

[11]  Neil Genzlinger.  A. and Q , 2006 .

[12]  F. Marcucci,et al.  Active targeting with particulate drug carriers in tumor therapy: fundamentals and recent progress. , 2004, Drug discovery today.

[13]  Robert Stephens,et al.  Fundamentals of Anaesthesia , 2000 .

[14]  Filiz Kuralay,et al.  Ultrasound-propelled nanoporous gold wire for efficient drug loading and release. , 2014, Small.

[15]  Reza Malekian,et al.  Molecular Communication and Nanonetwork for Targeted Drug Delivery: A Survey , 2017, IEEE Communications Surveys & Tutorials.

[16]  Yevgeni Koucheryavy,et al.  Molecular Communication Modeling of Antibody-Mediated Drug Delivery Systems , 2015, IEEE Transactions on Biomedical Engineering.

[17]  Antoine Ferreira,et al.  Nanorobotics: Past, Present, and Future , 2013 .

[18]  Youssef Chahibi,et al.  Molecular communication for drug delivery systems: A survey , 2017, Nano Commun. Networks.

[19]  J. Massagué,et al.  Cancer Metastasis: Building a Framework , 2006, Cell.

[20]  Krzysztof Socha,et al.  Ant Colony Optimization and Swarm Intelligence , 2004, Lecture Notes in Computer Science.

[21]  Lisa Brannon-Peppas,et al.  Active targeting schemes for nanoparticle systems in cancer therapeutics. , 2008, Advanced drug delivery reviews.

[22]  Robert Schober,et al.  Comprehensive Reactive Receiver Modeling for Diffusive Molecular Communication Systems: Reversible Binding, Molecule Degradation, and Finite Number of Receptors , 2016, IEEE Transactions on NanoBioscience.

[23]  Andrew W. Eckford,et al.  A Comprehensive Survey of Recent Advancements in Molecular Communication , 2014, IEEE Communications Surveys & Tutorials.

[24]  S. Sánchez,et al.  Catalytic Mesoporous Janus Nanomotors for Active Cargo Delivery , 2015, Journal of the American Chemical Society.

[25]  Thomas Stützle,et al.  A short convergence proof for a class of ant colony optimization algorithms , 2002, IEEE Trans. Evol. Comput..

[26]  M. Levin,et al.  Exploring Instructive Physiological Signaling with the Bioelectric Tissue Simulation Engine , 2016, Front. Bioeng. Biotechnol..

[27]  Takahiro Hara,et al.  Inbody mobile bionanosensor networks through non-diffusion-based molecular communication , 2015, 2015 IEEE International Conference on Communications (ICC).

[28]  Takahiro Hara,et al.  Performance Evaluation of Leader–Follower-Based Mobile Molecular Communication Networks for Target Detection Applications , 2017, IEEE Transactions on Communications.

[29]  Virginia H. Huxley,et al.  Capillary Fluid Exchange: Regulation, Functions, and Pathology , 2010 .

[30]  Athanasios V. Vasilakos,et al.  A Molecular Communications Model for Drug Delivery , 2015, IEEE Transactions on NanoBioscience.

[31]  W. Marsden.  I and J , 2012 .

[32]  Eduard Alarcón,et al.  Lifetime Improvement of a Multiple Transmitter Local Drug Delivery System Based on Diffusive Molecular Communication , 2018, IEEE Transactions on NanoBioscience.

[33]  David E. Misek,et al.  Global Profiling of the Cell Surface Proteome of Cancer Cells Uncovers an Abundance of Proteins with Chaperone Function* , 2003, The Journal of Biological Chemistry.