Evidence map›Paper›PMID 38242952›Full record

ArticleScientific reports2024

Simulation of transvascular transport of nanoparticles in tumor microenvironments for drug delivery applications.

Fariha Shabbir, Amenah Abdul Mujeeb, Syed Faraz Jawed, Ali Haider Khan, Choudhary Sobhan Shakeel

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. 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

5 authors at 2 institutions in 1 country.

Fariha ShabbirDepartment of Biomedical Engineering, Faculty of Engineering, Science, Technology and Management (ZUFESTM), Ziauddin University, Karachi, Pakistan. fariha10793@zu.edu.pk.
Amenah Abdul MujeebDepartment of Biomedical Engineering, Faculty of Engineering, Science, Technology and Management (ZUFESTM), Ziauddin University, Karachi, Pakistan.
Syed Faraz JawedDepartment of Biomedical Engineering, NED University of Engineering and Technology, Karachi, Pakistan. farazjawed@neduet.edu.pk.
Ali Haider KhanDepartment of Biomedical Engineering, Faculty of Engineering, Science, Technology and Management (ZUFESTM), Ziauddin University, Karachi, Pakistan.
Choudhary Sobhan ShakeelDepartment of Biomedical Engineering, Faculty of Engineering, Science, Technology and Management (ZUFESTM), Ziauddin University, Karachi, Pakistan.
Ziauddin University · PKNED University of Engineering and Technology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanomedicine is a promising approach for tumor therapy but penetration is challenged by complex tumor microenvironments. The purpose of this study is to design nanoparticles and analyze their transport in two abnormal microenvironments through a 2-D simulation. Employing a Computational Fluid Dynamics (CFD) approach, tumor vascular-interstitial models were initially simulated, and the impact of nanoparticles on the velocity profile and pressure gradient within the tumor microenvironment was observed. Through meticulous mesh analysis, it was determined that optimal outcomes were achieved using a quadrilateral meshing method for pancreatic tumor and a quad/tri meshing method for hepatic tumor. Results showed an increase in vessel diameter correlated with elevated blood flow velocity, reaching a maximum of 1.40 × 10^-3 m/s with an expanding cell gap. The simulation results for pressure distribution show that as vessel diameter increases, the velocity of nanoparticles in blood increases and decreases the pressure of blood. Intriguingly, distinct fluid flow patterns in pancreatic and hepatic tumors, emphasize how microenvironmental differences, specifically cell pore size, profoundly impact therapeutic agent transport, with implications for drug delivery strategies in cancer therapy. These simulation-based insights enable researchers to anticipate nanofluid behavior in realistic settings. Future work, incorporating immune cells, will enhance the understanding of nanoparticle efficiency in cancer therapy.

Indexed as

NanoparticlesNeoplasmsComputer SimulationDrug Delivery SystemsHumansTumor Microenvironment

Identifiers

PMID38242952
PMCPMC10798967
OpenAlexW4391041931

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.