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Record W4414849115 · doi:10.3389/fddev.2025.1681622

Editorial: Modelling of intravascular drug delivery using nanocarriers

2025· editorial· en· W4414849115 on OpenAlex
Panagiotis Neofytou, Nicolae‐Viorel Buchete

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFrontiers in Drug Delivery · 2025
Typeeditorial
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsnot available
Fundersnot available
KeywordsNanocarriersDrug deliveryIn silicoTargeted drug deliveryBiocompatible materialMultiscale modeling

Abstract

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Nanocarrier-based drug delivery systems have seen tremendous developments in recent years, enabled by rapid advances in both nano-scale technologies and in silico modelling tools. The articles published in this research topic capture a snapshot of this rapidly developing area, focusing on computational modelling methods that complement recent experimental approaches to studying nanocarrier intravascular drug delivery (NIVDD) systems. It has long been recognized that there is a need for the development of more standardized frameworks for in silico preclinical trials. Five papers are included in this special issue, and it is our hope that they can address this need by bringing together a broad range of recent approaches and highlighting their promises and limitations.The first paper by Buchete et al. is a comprehensive review of both main historical events resulting in the development of NIVDD systems and the broad range of multiscale physics-based approaches employed by different groups. The first section introduces nanoparticle (NP)-based drug delivery approaches, highlighting systematically ideas related to aspects such as NP types, approaches for NP loading with useful drugs and concepts related to the effective targeting and biophysical interactions (i.e., that ultimately modulate delivery) of drug-carrying NPs with their cellular targets. The second section illustrates the primarily molecular modelling-based approaches involved in microscale and mesoscale modelling, illustrating the corresponding molecular-level concepts and implications, from NP-functionalization and loading to form a NIVDD system to the NC's molecular interactions in the blood, including the formation of a protein corona, to the delivery stage when the desired targets (e.g., extracytosolic cellular membrane surfaces in the targets) are finally reached. Notably, multiscale modelling approaches of complex molecular processes, such as the complex NIVDD coverage by proteins while located in the blood, are also illustrated and discussed. The third and final section highlights the larger, macroscale aspects of functionalized NIVDD systems, covering physical properties such as the convection and diffusion of nanoparticles in biological media in general and blood vessels and capillaries, in particular. It is illustrated how models based on computational fluid dynamics (CFD) are needed and used to describe larger-scale processes such as particle-wall interactions in capillaries, related to triggering receptor-ligand reactions at vascular areas of interest. Ultimately, the CFD-based approaches can be both improved by the microscale molecular-level models presented in the second section and can provide a useful benchmark themselves (i.e., in a multiscale feedback loop) for achieving improved accuracy at both scales in a self-consistent manner.Another paper by Li et al. (Southeast University, Nanjing, China) presents recent developments in cancer treatment regarding the use of nanomaterials for iron homeostasis. Cells in highly vascularized tumor tissue exhibit a large increase in iron uptake, required for their pronounced growth, migration and possible invasion stages related to cancer proliferation. This paper illustrates the author's experience with a novel class of nanocarriers using iron chelating agents such as deferoxamine (DFO), deferasirox (DFX) and Dp44mT, which showed promise in being used in conjunction with different types of nanoparticles. This approach can advance the current NIVDD toolbox of systems that can be used to target selectively and efficiently cancer cells and tumors and impair their proliferation by modulating their access to iron.A third paper by Domenico Fuoco (Department of Chemical Engineering, Polytechnique Montréal, Montréal, QC, Canada) presents another interesting high-level view of using NPs as nanocarriers from a more user-facing perspective, providing not only a pragmatic summary of the recent concepts and key points involved in practical development of NIVDD systems, including pointers to different types of NP materials and nanotechnologies, but also to public and private-access databases and information sources that could be consulted for identifying recent developments in this field. Notably, the review highlights emerging biomedical aspects that need to be considered for improving the clinical outcomes of NIVDD systems, such as their "stealth effect" (i.e., the biophysical and biomolecular properties that can allow them to avoid recognition by the immune system and trigger their premature clearing). Other related aspects are also discussed, such as cellular or even molecular "Trojan-horse" strategies that may be used to improve both delivery efficiency and targeting specificity. Engineering, University of Cyprus, Nicosia, Cyprus) introduces a novel complex mathematical modelling approach to study and quantify the combined effects of both mechanotherapy and sonopermeation on tumor treatment. Once again, the accurate modelling of a cancer tumor's microenvironment (TME) can play a key role in modulating both its development and its response to various treatments (e.g., exposing the tumor to IV-delivered nanocarriers). This paper lays the foundations of developing an automatic and systematic modeling framework, including explicitly three principal states of nanocarrier-based drug delivery (i.e., (i) encapsulation/functionalization of the chemotherapeutic agent, (ii) free diffusion of the agent in the tumor interstitial space, and

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.162
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.219
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it