Drug-Loaded Multifunctional Nanoparticles Targeted to the Endocardial Layer of the Injured Heart Modulate Hypertrophic Signaling

Small ◽  
2017 ◽  
Vol 13 (33) ◽  
pp. 1701276 ◽  
Author(s):  
Mónica P. A. Ferreira ◽  
Sanjeev Ranjan ◽  
Sini Kinnunen ◽  
Alexandra Correia ◽  
Virpi Talman ◽  
...  
Small ◽  
2017 ◽  
Vol 13 (33) ◽  
Author(s):  
Mónica P. A. Ferreira ◽  
Sanjeev Ranjan ◽  
Sini Kinnunen ◽  
Alexandra Correia ◽  
Virpi Talman ◽  
...  

2020 ◽  
Vol 65 (1) ◽  
pp. 28-41
Author(s):  
Marwa Aly Ahmed ◽  
Júlia Erdőssy ◽  
Viola Horváth

Multifunctional nanoparticles have been shown earlier to bind certain proteins with high affinity and the binding affinity could be enhanced by molecular imprinting of the target protein. In this work different initiator systems were used and compared during the synthesis of poly (N-isopropylacrylamide-co-acrylic acid-co-N-tert-butylacrylamide) nanoparticles with respect to their future applicability in molecular imprinting of lysozyme. The decomposition of ammonium persulfate initiator was initiated either thermally at 60 °C or by using redox activators, namely tetramethylethylenediamine or sodium bisulfite at low temperatures. Morphology differences in the resulting nanoparticles have been revealed using scanning electron microscopy and dynamic light scattering. During polymerization the conversion of each monomer was followed in time. Striking differences were demonstrated in the incorporation rate of acrylic acid between the tetramethylethylenediamine catalyzed initiation and the other systems. This led to a completely different nanoparticle microstructure the consequence of which was the distinctly lower lysozyme binding affinity. On the contrary, the use of sodium bisulfite activation resulted in similar nanoparticle structural homogeneity and protein binding affinity as the thermal initiation.


2020 ◽  
Vol 119 (6) ◽  
pp. 1178-1192 ◽  
Author(s):  
Hilary Hunt ◽  
Agnė Tilūnaitė ◽  
Greg Bass ◽  
Christian Soeller ◽  
H. Llewelyn Roderick ◽  
...  

2021 ◽  
Vol 201 ◽  
pp. 111630
Author(s):  
Liwen Fu ◽  
Shuguang Yang ◽  
Shichao Jiang ◽  
Xiaojun Zhou ◽  
Zhou Sha ◽  
...  

Author(s):  
Karli Gillette ◽  
Matthias A. F. Gsell ◽  
Julien Bouyssier ◽  
Anton J. Prassl ◽  
Aurel Neic ◽  
...  

AbstractPersonalized models of cardiac electrophysiology (EP) that match clinical observation with high fidelity, referred to as cardiac digital twins (CDTs), show promise as a tool for tailoring cardiac precision therapies. Building CDTs of cardiac EP relies on the ability of models to replicate the ventricular activation sequence under a broad range of conditions. Of pivotal importance is the His–Purkinje system (HPS) within the ventricles. Workflows for the generation and incorporation of HPS models are needed for use in cardiac digital twinning pipelines that aim to minimize the misfit between model predictions and clinical data such as the 12 lead electrocardiogram (ECG). We thus develop an automated two stage approach for HPS personalization. A fascicular-based model is first introduced that modulates the endocardial Purkinje network. Only emergent features of sites of earliest activation within the ventricular myocardium and a fast-conducting sub-endocardial layer are accounted for. It is then replaced by a topologically realistic Purkinje-based representation of the HPS. Feasibility of the approach is demonstrated. Equivalence between both HPS model representations is investigated by comparing activation patterns and 12 lead ECGs under both sinus rhythm and right-ventricular apical pacing. Predominant ECG morphology is preserved by both HPS models under sinus conditions, but elucidates differences during pacing.


The Analyst ◽  
2017 ◽  
Vol 142 (2) ◽  
pp. 302-309 ◽  
Author(s):  
Yanxia Li ◽  
Yiting Chen ◽  
Lu Huang ◽  
BenYong Lou ◽  
Guonan Chen

A kind of protein imprinted over magnetic Fe3O4@Au multifunctional nanoparticles (NPs) with multiple binding sites was synthesized and investigated.


2013 ◽  
Author(s):  
Kristen Herrmann ◽  
Yong-Eun Lee Koo ◽  
Daniel A. Orringer ◽  
Oren Sagher ◽  
Martin Philbert ◽  
...  

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