Evidence map›Paper›PMID 33860446›Full record

ArticleDrug delivery and translational research2022

Modelling the impact of nucleolin expression level on the activity of F3 peptide-targeted pH-sensitive pegylated liposomes containing doxorubicin.

Rui Lopes, Kevin Shi, Nuno A Fonseca, Adelina Gama, José S Ramalho, Luís Almeida, Vera Moura, Sérgio Simões, Bruce Tidor, João N Moreira

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In one paragraph

Article in Drug delivery and translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. 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

10 authors at 4 institutions in 2 countries.

Rui Lopes *CNC - Center for Neurosciences and Cell Biology, Center for Innovative Biomedicine and Biotechnology (CIBB), Faculty of Medicine (Polo 1), Rua Larga, University of Coimbra, 3004-504, Coimbra, Portugal.
Kevin Shi *Department of Biological Engineering and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Nuno A Fonseca *CNC - Center for Neurosciences and Cell Biology, Center for Innovative Biomedicine and Biotechnology (CIBB), Faculty of Medicine (Polo 1), Rua Larga, University of Coimbra, 3004-504, Coimbra, Portugal.
Adelina GamaAnimal and Veterinary Research Centre (CECAV), University of Trás-Os-Montes and Alto Douro (UTAD), Quinta de Prados, Apartado 1013, 5000-801, Vila Real, Portugal.
José S RamalhoLaboratory of Cellular and Molecular Biology, NOVA Medical School, New University of Lisbon, Campo Mártires da Pátria, 130, 1169-056, Lisboa, Portugal.
Luís AlmeidaBlueclinical, Ltd, 4460-439, Senhora da Hora, Matosinhos, Portugal.
Vera MouraTREAT U, SA - Parque Industrial de Taveiro, Lote 44, 3045-508, Coimbra, Portugal.
Sérgio SimõesCNC - Center for Neurosciences and Cell Biology, Center for Innovative Biomedicine and Biotechnology (CIBB), Faculty of Medicine (Polo 1), Rua Larga, University of Coimbra, 3004-504, Coimbra, Portugal.
Bruce TidorDepartment of Biological Engineering and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. tidor@mit.edu.
João N MoreiraCNC - Center for Neurosciences and Cell Biology, Center for Innovative Biomedicine and Biotechnology (CIBB), Faculty of Medicine (Polo 1), Rua Larga, University of Coimbra, 3004-504, Coimbra, Portugal.ORCID http://orcid.org/0000-0003-3449-0522
University of Coimbra · PTMassachusetts Institute of Technology · USUniversity of Lisbon · PTUniversity of Trás-os-Montes and Alto Douro · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Strategies targeting nucleolin have enabled a significant improvement in intracellular bioavailability of their encapsulated payloads. In this respect, assessment of the impact of target cell heterogeneity and nucleolin homology across species (structurally and functionally) is of major importance. This work also aimed at mathematically modelling the nucleolin expression levels at the cell membrane, binding and internalization of pH-sensitive pegylated liposomes encapsulating doxorubicin and functionalized with the nucleolin-binding F3 peptide (PEGASEMP), and resulting cytotoxicity against cancer cells from mouse, rat, canine, and human origin. Herein, it was shown that nucleolin expression levels were not a limitation on the continuous internalization of F3 peptide-targeted liposomes, despite the saturable nature of the binding mechanism. Modeling enabled the prediction of nucleolin-mediated total doxorubicin exposure provided by the experimental settings of the assessment of PEGASEMP's impact on cell death. The former increased proportionally with nucleolin-binding sites, a measure relevant for patient stratification. This pattern of variation was observed for the resulting cell death in nonsaturating conditions, depending on the cancer cell sensitivity to doxorubicin. This approach differs from standard determination of cytotoxic concentrations, which normally report values of incubation doses rather than the actual intracellular bioactive drug exposure. Importantly, in the context of development of nucleolin-based targeted drug delivery, the structural nucleolin homology (higher than 84%) and functional similarity across species presented herein, emphasized the potential to use toxicological data and other metrics from lower species to infer the dose for a first-in-human trial.

Indexed as

DoxorubicinLiposomesAnimalsCell Line, TumorDogsDrug Delivery SystemsHumansHydrogen-Ion ConcentrationMiceNucleolinPeptidesPhosphoproteinsPolyethylene GlycolsRatsRNA-Binding ProteinsDoxorubicinLiposomesNucleolinPeptidesPhosphoproteinsPolyethylene GlycolsRNA-Binding ProteinsLigand-mediated targetingModellingNanomedicineNucleolin expressionProtein homology

Identifiers

PMID33860446
OpenAlexW3152692115

What OpenQuestion holds

Textmetadata
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.