Empirical and Theoretical Analysis of Particle Diffusion in Mucus

Mucus is a complex fluid that coats multiple organs in animals. Various physicochemical properties can alter the diffusion of microscopic particles in mucus, impacting drug delivery, virus infection, and disease development. The simultaneous effect of these physicochemical properties in particle dif...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Antonio Cobarrubia, Jarod Tall, Austin Crispin-Smith, Antoni Luque
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	anomalous diffusion mucus microscopic particle meta-analysis random forest (bagging) and machine learning Physics QC1-999
Acceso en línea:	https://doaj.org/article/547c503427334e87824fac076309aa64
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:547c503427334e87824fac076309aa64
record_format	dspace
spelling	oai:doaj.org-article:547c503427334e87824fac076309aa642021-11-30T11:08:48ZEmpirical and Theoretical Analysis of Particle Diffusion in Mucus2296-424X10.3389/fphy.2021.594306https://doaj.org/article/547c503427334e87824fac076309aa642021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fphy.2021.594306/fullhttps://doaj.org/toc/2296-424XMucus is a complex fluid that coats multiple organs in animals. Various physicochemical properties can alter the diffusion of microscopic particles in mucus, impacting drug delivery, virus infection, and disease development. The simultaneous effect of these physicochemical properties in particle diffusion, however, remains elusive. Here, we analyzed 106 published experiments to identify the most dominant factors controlling particle diffusion in mucus. The effective diffusion—defined using a one-second sampling time window across experiments—spanned seven orders of magnitude, from 10–5 to 102 μm2/s. Univariate and multivariate statistical analyses identified the anomalous exponent (the logarithmic slope of the mean-squared displacement) as the strongest predictor of effective diffusion, revealing an exponential relationship that explained 89% of the variance. A theoretical scaling analysis revealed that a stronger correlation of the anomalous exponent over the generalized diffusion constant occurs for sampling times two orders of magnitude larger than the characteristic molecular (or local) displacement time. This result predicts that at these timescales, the molecular properties controlling the anomalous exponent, like particle–mucus unbinding times or the particle to mesh size ratio, would be the most relevant physicochemical factors involved in passive microrheology of particles in mucus. Our findings contrast with the fact that only one-third of the studies measured the anomalous exponent, and most experiments did not report the associated molecular properties predicted to dominate the motion of particles in mucus. The theoretical foundation of our work can be extrapolated to other systems, providing a guide to identify dominant molecular mechanisms regulating the mobility of particles in mucus and other polymeric fluids.Antonio CobarrubiaAntonio CobarrubiaJarod TallJarod TallJarod TallAustin Crispin-SmithAustin Crispin-SmithAntoni LuqueAntoni LuqueAntoni LuqueFrontiers Media S.A.articleanomalous diffusionmucusmicroscopic particlemeta-analysisrandom forest (bagging) and machine learningPhysicsQC1-999ENFrontiers in Physics, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	anomalous diffusion mucus microscopic particle meta-analysis random forest (bagging) and machine learning Physics QC1-999
spellingShingle	anomalous diffusion mucus microscopic particle meta-analysis random forest (bagging) and machine learning Physics QC1-999 Antonio Cobarrubia Antonio Cobarrubia Jarod Tall Jarod Tall Jarod Tall Austin Crispin-Smith Austin Crispin-Smith Antoni Luque Antoni Luque Antoni Luque Empirical and Theoretical Analysis of Particle Diffusion in Mucus
description	Mucus is a complex fluid that coats multiple organs in animals. Various physicochemical properties can alter the diffusion of microscopic particles in mucus, impacting drug delivery, virus infection, and disease development. The simultaneous effect of these physicochemical properties in particle diffusion, however, remains elusive. Here, we analyzed 106 published experiments to identify the most dominant factors controlling particle diffusion in mucus. The effective diffusion—defined using a one-second sampling time window across experiments—spanned seven orders of magnitude, from 10–5 to 102 μm2/s. Univariate and multivariate statistical analyses identified the anomalous exponent (the logarithmic slope of the mean-squared displacement) as the strongest predictor of effective diffusion, revealing an exponential relationship that explained 89% of the variance. A theoretical scaling analysis revealed that a stronger correlation of the anomalous exponent over the generalized diffusion constant occurs for sampling times two orders of magnitude larger than the characteristic molecular (or local) displacement time. This result predicts that at these timescales, the molecular properties controlling the anomalous exponent, like particle–mucus unbinding times or the particle to mesh size ratio, would be the most relevant physicochemical factors involved in passive microrheology of particles in mucus. Our findings contrast with the fact that only one-third of the studies measured the anomalous exponent, and most experiments did not report the associated molecular properties predicted to dominate the motion of particles in mucus. The theoretical foundation of our work can be extrapolated to other systems, providing a guide to identify dominant molecular mechanisms regulating the mobility of particles in mucus and other polymeric fluids.
format	article
author	Antonio Cobarrubia Antonio Cobarrubia Jarod Tall Jarod Tall Jarod Tall Austin Crispin-Smith Austin Crispin-Smith Antoni Luque Antoni Luque Antoni Luque
author_facet	Antonio Cobarrubia Antonio Cobarrubia Jarod Tall Jarod Tall Jarod Tall Austin Crispin-Smith Austin Crispin-Smith Antoni Luque Antoni Luque Antoni Luque
author_sort	Antonio Cobarrubia
title	Empirical and Theoretical Analysis of Particle Diffusion in Mucus
title_short	Empirical and Theoretical Analysis of Particle Diffusion in Mucus
title_full	Empirical and Theoretical Analysis of Particle Diffusion in Mucus
title_fullStr	Empirical and Theoretical Analysis of Particle Diffusion in Mucus
title_full_unstemmed	Empirical and Theoretical Analysis of Particle Diffusion in Mucus
title_sort	empirical and theoretical analysis of particle diffusion in mucus
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/547c503427334e87824fac076309aa64
work_keys_str_mv	AT antoniocobarrubia empiricalandtheoreticalanalysisofparticlediffusioninmucus AT antoniocobarrubia empiricalandtheoreticalanalysisofparticlediffusioninmucus AT jarodtall empiricalandtheoreticalanalysisofparticlediffusioninmucus AT jarodtall empiricalandtheoreticalanalysisofparticlediffusioninmucus AT jarodtall empiricalandtheoreticalanalysisofparticlediffusioninmucus AT austincrispinsmith empiricalandtheoreticalanalysisofparticlediffusioninmucus AT austincrispinsmith empiricalandtheoreticalanalysisofparticlediffusioninmucus AT antoniluque empiricalandtheoreticalanalysisofparticlediffusioninmucus AT antoniluque empiricalandtheoreticalanalysisofparticlediffusioninmucus AT antoniluque empiricalandtheoreticalanalysisofparticlediffusioninmucus
_version_	1718406682586906624

Empirical and Theoretical Analysis of Particle Diffusion in Mucus

Ejemplares similares