Evidence map›Paper›PMID 33188925›Full record

ReviewEuropean journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences2021

Population pharmacokinetic modelling of indium-based quantum dot nanoparticles: preclinical in vivo studies.

Elnaz Yaghini, Elisa Tacconi, Andrew Pilling, Paula Rahman, Joe Broughton, Imad Naasani, Mohammed R S Keshtgar, Alexander J MacRobert, Oscar Della Pasqua

Open access · hybridAbstract readReview
In one paragraph

Review in European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences, 2021. 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
1.0field-weighted citation impact, top 27% 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, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. A Review of in vivo Toxicity of Quantum Dots in Animal Models.International journal of nanomedicine · 2023
    Review
  5. Article
  6. Review
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

9 authors at 3 institutions in 1 country.

Elnaz YaghiniUCL Division of Surgery and Interventional Science, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK. Electronic address: elnaz.yaghini@ucl.ac.uk.
Elisa TacconiClinical Pharmacology and Therapeutics Group, University College London, School of Pharmacy, BMA House, Tavistock Square, London, WC1H 9JP, UK.
Andrew PillingToxPath Consultancy Ltd, Church Road, Wingfield, Diss, IP21 5RA, UK.
Paula RahmanNanoco Technologies Ltd, 46 Grafton Street, Manchester M13 9NT, UK.
Joe BroughtonNanoco Technologies Ltd, 46 Grafton Street, Manchester M13 9NT, UK.
Imad NaasaniNanoco Technologies Ltd, 46 Grafton Street, Manchester M13 9NT, UK.
Mohammed R S KeshtgarUCL Division of Surgery and Interventional Science, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.
Alexander J MacRobertUCL Division of Surgery and Interventional Science, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.
Oscar Della PasquaClinical Pharmacology and Therapeutics Group, University College London, School of Pharmacy, BMA House, Tavistock Square, London, WC1H 9JP, UK.
University College London · GBNanoco Technologies (United Kingdom) · GBThe London College · GB

Funding

Medical Research Council MC_PC_14093
6 · The paper itself

Abstract

There is considerable interest in biomedical applications of quantum dot (QD) nanoparticles, in particular their use as imaging agents for diagnostic applications. In order to investigate the in vivo biodistribution and the potential toxicity of quantum dots (QDs), it is crucial to develop pharmacokinetic (PK) models as basis for prediction of QDs exposure profiles over time. Here, we investigated the in vivo biodistribution of novel indium-based QDs in mice for up to three months after intravenous administration and subsequently developed a translational population PK model to scale findings to humans. This evaluation was complemented by a comprehensive overview of the in vivo toxicology of QDs in rats. The QDs were primarily taken up by the liver and spleen and were excreted via hepatobiliary and urinary pathways. A non-linear mixed effects modelling approach was used to describe blood and organ disposition characteristics of QDs using a multi-compartment PK model. The observed blood and tissue exposure to QDs was characterised with an acceptable level of accuracy at short and long-term. Of note is the fast distribution of QDs from blood into liver and spleen in the first 24 h post-injection (half-life of 28 min) followed by a long elimination profile (half-life range: 47-90 days). This is the first study to assess the PK properties of QDs using a population pharmacokinetic approach to analyse in vivo preclinical data. No organ damage was observed following systemic administration of QDs at doses as high as 48 mg/kg at 24 h, 1 week and 5 weeks post-injection. In conjunction with the data arising from the toxicology experiments, PK parameter estimates provide insight into the potential PK properties of QDs in humans, which ultimately allow prediction of their disposition and enable optimisation of the design of first-in-human QDs studies.

Indexed as

NanoparticlesQuantum DotsAnimalsIndiumLiverMiceRatsTissue DistributionIndiumbiodistributionnanoparticlespharmacokineticspopulation pharmacokinetic modellingquantum dotstoxicology

Identifiers

PMID33188925
PMCPMC8214104
OpenAlexW3101484185

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.