Evidence map›Paper›PMID 41599593›Full record

ArticlePolymers2026

Linear Polyethyleneimine-Coated Gold Nanoparticles as a Platform for Central Nervous System Targeting.

Agustín J Byrne, Antonia Infantes-Molina, Enrique Rodríguez-Castellón, Romina J Glisoni, María J Pérez, Patrizia Andreozzi, Barbara Richichi, Marco Marradi, Paula G Franco, Juan M Lázaro-Martínez

Abstract read
In one paragraph

Article in Polymers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Agustín J ByrneUniversidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Buenos Aires 1113, Argentina.ORCID 0000-0002-0499-4095
Antonia Infantes-MolinaDepartamento de Química Inorgánica, Cristalografía y Mineralogía, Facultad de Ciencias, Instituto Interuniversitario en Biorrefinerías I3B, Universidad de Málaga, 29010 Málaga, Spain.ORCID 0000-0001-6360-773X
Enrique Rodríguez-CastellónDepartamento de Química Inorgánica, Cristalografía y Mineralogía, Facultad de Ciencias, Instituto Interuniversitario en Biorrefinerías I3B, Universidad de Málaga, 29010 Málaga, Spain.ORCID 0000-0003-4751-1767
Romina J GlisoniUniversidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Buenos Aires 1113, Argentina.ORCID 0000-0002-7845-1800
María J PérezUniversidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Buenos Aires 1113, Argentina.
Patrizia AndreozziDepartment of Chemistry 'Ugo Schiff', University of Florence, Via della Lastruccia 3-13, 50019 Florence, Italy.
Barbara RichichiDepartment of Chemistry 'Ugo Schiff', University of Florence, Via della Lastruccia 3-13, 50019 Florence, Italy.
Marco MarradiDepartment of Chemistry 'Ugo Schiff', University of Florence, Via della Lastruccia 3-13, 50019 Florence, Italy.ORCID 0000-0003-0831-6942
Paula G FrancoUniversidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Buenos Aires 1113, Argentina.ORCID 0000-0002-0551-791X
Juan M Lázaro-MartínezUniversidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Buenos Aires 1113, Argentina.ORCID 0000-0002-7189-6874

Funding

Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación PICT 2019-00845Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación PICT 2021-01176Consejo Nacional de Investigaciones Científicas y Técnicas PIP 2021-2023 GI-11220200101280COEuropean Union's Horizon 2020 H2020-MSCA-RISE-2020 Project SUPRO-GENMinisterio de Ciencia, Innovación y Universidades PID2021-126235OB-C32Ministerio de Ciencia, Innovación y Universidades TED2021-130756B-C31Ministero dell'università e della ricerca B97G22000740001Universidad de Buenos Aires UBACyT 2020-2025/11BAUniversidad de Buenos Aires UBACyT 2023-2025/186BA
6 · The paper itself

Abstract

The unique physicochemical properties of gold nanoparticles (GNPs) have made them versatile tools for biomedical applications, such as imaging, therapy, and drug delivery. The surface modification of GNPs with polymers or biomolecules can enhance their colloidal stability and facilitate internalization into cells. However, the efficient and biocompatible delivery to the central nervous system remains a major challenge, as many existing nanocarriers show poor capacity to cross the blood-brain barrier. We developed a method to coat GNPs with linear polyethyleneimine (GNP@PEI) through a chemical reduction bottom-up approach, in which linear PEI hydrochloride acts simultaneously as a reducing and stabilizing agent of colloidal dispersion. This strategy yielded monodisperse spherical GNP@PEI nanoparticles with an average diameter of 50 nm. The physicochemical profile, biocompatibility, and capacity for neural uptake of this potentially brain-targeted nanoplatform were then evaluated. GNP@PEI nanoparticles exhibited high biocompatibility in several primary neural cultures and cell lines, with cellular uptake showing clear cell-type-dependent differences. In vivo studies carried out in a murine model demonstrated that after the intranasal or intraperitoneal administrations of GNP@PEI nanoparticles, detectable levels of gold were found in several organs, including the brain. Collectively, these findings highlight the potential of GNP@PEI as a promising nanoplatform for brain-targeted delivery and for advancing the development of therapeutic strategies for neurological disorders.

Indexed as

biodistributioncharacterization techniquesdark field microscopygold nanoparticlespolyethyleneimine

Identifiers

PMID41599593
PMCPMC12845547

What Socratic 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 Socratic graph.