Evidence map›Paper›PMID 40573995›Full record

ArticlePharmaceutics2025

In Vitro Evaluation of the Efficient Passage of PLGA-Formulated Trastuzumab for Nose-to-Brain Delivery.

Léa Kengne Kamkui, Clémence Disdier, Amaury Herbet, Narciso Costa, Anne-Cécile Guyot, Didier Boquet, Aloïse Mabondzo

Abstract read
In one paragraph

Article in Pharmaceutics, 2025. 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

7 authors.

Léa Kengne KamkuiUniversité Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Laboratoire d'Etude de l'Unité Neurovasculaire et Innovation Thérapeutique (LENIT), 91191 Gif-sur-Yvette, France.
Clémence DisdierUniversité Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Laboratoire d'Etude de l'Unité Neurovasculaire et Innovation Thérapeutique (LENIT), 91191 Gif-sur-Yvette, France.ORCID 0000-0003-3107-3459
Amaury HerbetUniversité Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Laboratoire d'Etude de l'Unité Neurovasculaire et Innovation Thérapeutique (LENIT), 91191 Gif-sur-Yvette, France.
Narciso CostaUniversité Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Laboratoire d'Etude de l'Unité Neurovasculaire et Innovation Thérapeutique (LENIT), 91191 Gif-sur-Yvette, France.ORCID 0000-0001-5730-8151
Anne-Cécile GuyotUniversité Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Laboratoire d'Etude de l'Unité Neurovasculaire et Innovation Thérapeutique (LENIT), 91191 Gif-sur-Yvette, France.
Didier BoquetUniversité Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Laboratoire d'Etude de l'Unité Neurovasculaire et Innovation Thérapeutique (LENIT), 91191 Gif-sur-Yvette, France.ORCID 0000-0002-4048-7867
Aloïse MabondzoUniversité Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Laboratoire d'Etude de l'Unité Neurovasculaire et Innovation Thérapeutique (LENIT), 91191 Gif-sur-Yvette, France.ORCID 0000-0002-0627-8949

Funding

Agence Nationale de la Recherche ANR-24-CE18-6870.Université Paris-Saclay POC IN LABS N° 2020-0989
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

blood–brain barriernasal epithelium modelnose-to-brain formulationPLGA nanoparticlestrastuzumab

Identifiers

PMID40573995
PMCPMC12195688

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.