Evidence map›Paper›PMID 35044591›Full record

ArticlePharmaceutical research2022

Multiphysics Modelling and Simulation of Thrombolysis via Activated Platelet-Targeted Nanomedicine.

Boram Gu, Yu Huang, Emily Louise Manchester, Alun D Hughes, Simon A McG Thom, Rongjun Chen, Xiao Yun Xu

Open access · hybridAbstract read
In one paragraph

Article in Pharmaceutical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 32% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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

7 authors at 4 institutions in 3 countries.

Boram GuDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, London, UK.
Yu HuangDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, London, UK.
Emily Louise ManchesterDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, London, UK.
Alun D HughesInstitute of Cardiovascular Science, University College London, London, UK.
Simon A McG ThomNational Heart and Lung Institute, Imperial College London, London, UK.
Rongjun ChenDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, London, UK.
Xiao Yun XuDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, London, UK. yun.xu@imperial.ac.uk.ORCID http://orcid.org/0000-0002-8267-621X
Imperial College London · GBChonnam National University · KRMRC Unit for Lifelong Health and Ageing · GBShanghai Sixth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study establishes a multiphysics simulation platform for both conventional and targeted thrombolysis using tissue plasminogen activator (tPA). Based on our computational results, the effects of therapeutic parameters on the dynamics of thrombolysis and the risk of side effects are investigated.

methodsThe model extends our previously developed one-dimensional(1D) mathematical models for fibrinolysis by incorporating targeted thrombolysis. It consists of two parts: (i) a coupled mathematical model of systemic pharmacokinetics (PK) and pharmacodynamics (PD) and local PD in a 1D occluded artery, and (ii) a mechanistic model for a targeted thrombolytic system via activated platelet-targeted tPA-loaded nanovesicles (tPA-NV), with model parameters derived from our in vitro experiments. A total of 16 therapeutic scenarios are simulated by varying the clot location and composition as well as the dosing regimen with free tPA or tPA-NV.

resultsOur simulation results indicate that tPA-NV offers several advantages over free tPA for thrombolysis. It reduces systemic exposure of tPA, thereby minimising the risk of bleeding complications. Simulations with different tPA-NV doses reveal that tPA-NV at 10% of the recommended dose can be as effective as the standard regimen with the full recommended dose of free tPA, demonstrating the potential of our tPA-NV as a new thrombolytic strategy with a reduced tPA dose. Moreover, faster recanalisation can be achieved with tPA-NV, especially for platelet-rich(or fibrin-poor) clots.

conclusionsOur simulation platform for thrombolysis with well-tuned model parameters can be used to evaluate and optimise treatment regimens of existing and new thrombolytic therapies via benefit/risk assessment under various therapeutic scenarios.

Indexed as

FibrinolysisTissue Plasminogen ActivatorFibrinolytic AgentsNanomedicineThrombolytic TherapyFibrinolytic AgentsTissue Plasminogen Activatormultiphysics modellingpharmacodynamicspharmacokineticstargeted drug deliverythrombolysis

Identifiers

PMID35044591
PMCPMC8837543
OpenAlexW4206426849

What Socratic holds

Textmetadata
LicenceCC BY
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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.