Evidence map›Paper›PMID 38895445›Full record

ArticlebioRxiv : the preprint server for biology2024

Effect of Circadian Rhythm Modulated Blood Flow on Nanoparticle based Targeted Drug Delivery in Virtual

Shoaib A Goraya, Shengzhe Ding, Mariam K Arif, Hyunjoon Kong, Arif Masud

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shoaib A GorayaDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign.ORCID 0000-0002-6961-1315
Shengzhe DingDepartment of Chemical and Biomolecular Engineering, University of Illinois Urbana-Champaign.ORCID 0000-0003-4966-4396
Mariam K ArifFeinberg School of Medicine, Northwestern University.
Hyunjoon KongDepartment of Biomedical and Translational Sciences, Carle Illinois College of Medicine, University of Illinois Urbana-Champaign.ORCID 0000-0003-4680-2968
Arif MasudDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign.ORCID 0000-0002-4708-4251

Funding

Stochastic Modeling of Tissue Injury, Edema and Targeted Drug Delivery R01GM135921 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MASUD, ARIF · 2019 to 2021
$570k
NIGMS NIH HHS R01 GM135921
6 · The paper itself

Abstract

Delivery of drug using nanocarriers tethered with vasculature-targeting epitopes aims to maximize the therapeutic efficacy of the drug while minimizing the drug side effects. Circadian rhythm which is governed by the central nervous system has implications for targeted drug delivery due to sleep-wake cycle changes in blood flow dynamics. This paper presents an advanced fluid dynamics modeling method that is based on viscous incompressible shear-rate fluid (blood) coupled with an advection-diffusion equation to simulate the formation of drug concentration gradients in the blood stream and buildup of concentration at the targeted site. The method is equipped with an experimentally calibrated nanoparticle-endothelial cell adhesion model that employs Robin boundary conditions to describe nanoparticle retention based on probability of adhesion, a friction model accounting for surface roughness of endothelial cell layer, and a dispersion model based on Taylor-Aris expression for effective diffusion in the boundary layer. The computational model is first experimentally validated and then tested on engineered bifurcating arterial systems where impedance boundary conditions are applied at the outflow to account for the downstream resistance at each outlet. It is then applied to a virtual geometric model of an Statement of Significance: A novel integration of nanoparticle-based drug delivery framework with shear-rate dependent blood flow model is presented. The framework is comprised of a unique combination of mechanics-based dispersion model, an asperity model for endothelium surface roughness, and a stochastic nanoparticle-endothelial cell adhesion model. Simulations of MRI based

Indexed as

Carotid arteryCircadian rhythmLigand-coated nanoparticlesNanoparticle adhesion and retentionShear rate dependent blood flow modelStabilized finite element methodTargeted drug delivery

Identifiers

PMID38895445
PMCPMC11185639

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.