COTiR: Molecular Communication Model for Synthetic Exosome-Based Tissue Regeneration

被引:1
作者
Pal, Saswati [1 ]
Misra, Sudip [2 ]
Mallik, Ranjan K. [3 ]
机构
[1] Indian Inst Technol Kharagpur, Sch Nanosci & Technol, Kharagpur 721302, India
[2] Indian Inst Technol Kharagpur, Dept Comp Sci & Engn, Kharagpur 721302, India
[3] Indian Inst Technol Delhi, Dept Elect Engn, New Delhi 110016, India
关键词
COVID-19; molecular communication; channel modeling; regenerative therapy; mesenchymal stem cell (MSCs); exosomes; target detection; tissue regeneration;
D O I
10.1109/TNB.2023.3302773
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Mesenchymal stem cell (MSC)-derived exosomes are recognized as an unparalleled therapy for tissue damage rendered by COVID-19 infection and subsequent hyper-inflammatory immune response. However, the natural targeting mechanism of exosomes is challenging to detect the damaged tissue over long diffusion distances efficiently. The coordinated movement of exosomes is desired for successful identification of target sites. In this work, we propose a molecular communication model, CoTiR, with a bio-inspired directional migration strategy (DMS) for guided propagation of exosomes to target the damaged tissues. The model includes directional propagation, reception, and regeneration of tissue. The proposed model has the potential to be used in designing efficient communication systems in the nanodomain. We compare the proposed model to the basic random propagation model and show the efficacy of our model regarding the detection of multiple targets and the detection time required. Simulation results indicate that the proposed model requires a shorter period of time for a similar number of exosomes to detect the targets compared to the basic random propagation model. Furthermore, the results reveal a 99.96% decrease in the collagen concentration in the absence of inflammatory cytokine molecules compared to the collagen concentration in the presence of inflammatory cytokine molecules.
引用
收藏
页码:202 / 209
页数:8
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