Evidence map›Paper›PMID 34321602›Full record

ArticleCommunications biology2021

Drug transport kinetics of intravascular triggered drug delivery systems.

Timo L M Ten Hagen, Matthew R Dreher, Sara Zalba, Ann L B Seynhaeve, Mohamadreza Amin, Li Li, Dieter Haemmerich

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Selecting ideal drugs for encapsulation in thermosensitive liposomes and other triggered nanoparticles.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2022
    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 3 institutions in 2 countries.

Timo L M Ten HagenLaboratory Experimental Oncology and Nanomedicine Innovation Center Erasmus (NICE), Department of Pathology, Erasmus Medical Center, Rotterdam, The Netherlands.
Matthew R DreherBoston Scientific, Marlborough, MA, USA.
Sara ZalbaLaboratory Experimental Oncology and Nanomedicine Innovation Center Erasmus (NICE), Department of Pathology, Erasmus Medical Center, Rotterdam, The Netherlands.ORCID 0000-0001-5203-2985
Ann L B SeynhaeveLaboratory Experimental Oncology and Nanomedicine Innovation Center Erasmus (NICE), Department of Pathology, Erasmus Medical Center, Rotterdam, The Netherlands.
Mohamadreza AminLaboratory Experimental Oncology and Nanomedicine Innovation Center Erasmus (NICE), Department of Pathology, Erasmus Medical Center, Rotterdam, The Netherlands.
Li LiLaboratory Experimental Oncology and Nanomedicine Innovation Center Erasmus (NICE), Department of Pathology, Erasmus Medical Center, Rotterdam, The Netherlands.
Dieter HaemmerichDepartment of Pediatrics, Medical University of South Carolina, Charleston, SC, USA. haemmerich@ieee.org.ORCID 0000-0003-1127-7024
Erasmus MC · NLBoston Scientific (United States) · USMedical University of South Carolina · US

Funding

In vivo derived in silico model for DDS optimizationR01CA181664 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Dieter Haemmerich · 2014 to 2026
$3.2M
EXTRAMURAL RESEARCH FACILITIES CONSTRUCTIONC06RR018823 · NCRR · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI RAYMOND, JOHN R · 2003 to 2003
$2.9M
NCI NIH HHS R01 CA181664NCRR NIH HHS C06 RR018823
6 · The paper itself

Abstract

Intravascular triggered drug delivery systems (IV-DDS) for local drug delivery include various stimuli-responsive nanoparticles that release the associated agent in response to internal (e.g., pH, enzymes) or external stimuli (e.g., temperature, light, ultrasound, electromagnetic fields, X-rays). We developed a computational model to simulate IV-DDS drug delivery, for which we quantified all model parameters in vivo in rodent tumors. The model was validated via quantitative intravital microscopy studies with unencapsulated fluorescent dye, and with two formulations of temperature-sensitive liposomes (slow, and fast release) encapsulating a fluorescent dye as example IV-DDS. Tumor intra- and extravascular dye concentration dynamics were extracted from the intravital microscopy data by quantitative image processing, and were compared to computer model results. Via this computer model we explain IV-DDS delivery kinetics and identify parameters of IV-DDS, of drug, and of target tissue for optimal delivery. Two parameter ratios were identified that exclusively dictate how much drug can be delivered with IV-DDS, indicating the importance of IV-DDS with fast drug release (~sec) and choice of a drug with rapid tissue uptake (i.e., high first-pass extraction fraction). The computational model thus enables engineering of improved future IV-DDS based on tissue parameters that can be quantified by imaging.

Indexed as

Drug Delivery SystemsDrug DevelopmentFluorescent DyesKineticsLiposomesNanoparticlesNeoplasmsTemperatureFluorescent DyesLiposomes

Identifiers

PMID34321602
PMCPMC8319190
OpenAlexW3185809346

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.