Evidence map›Paper›PMID 39662856›Full record

ArticleInternational journal of pharmaceutics2025

Dissolving microneedle array patches containing mesoporous silica nanoparticles of different pore sizes as a tunable sustained release platform.

Juan L Paris, Lalitkumar K Vora, Ana M Pérez-Moreno, María Del Carmen Martín-Astorga, Yara A Naser, Qonita Kurnia Anjani, José Antonio Cañas, María José Torres, Cristobalina Mayorga, Ryan F Donnelly

Abstract read
In one paragraph

Article in International journal of pharmaceutics, 2025. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors.

Juan L ParisAllergy Research Group, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND. RICORS "Enfermedades inflamatorias", Málaga, Spain; School of Pharmacy, Queen's University Belfast, Medical Biology Centre, Belfast, UK. Electronic address: juan.paris@ibima.eu.
Lalitkumar K VoraSchool of Pharmacy, Queen's University Belfast, Medical Biology Centre, Belfast, UK.
Ana M Pérez-MorenoAllergy Research Group, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND. RICORS "Enfermedades inflamatorias", Málaga, Spain; Universidad de Málaga, Málaga, Spain.
María Del Carmen Martín-AstorgaAllergy Research Group, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND. RICORS "Enfermedades inflamatorias", Málaga, Spain; Universidad de Málaga, Málaga, Spain.
Yara A NaserSchool of Pharmacy, Queen's University Belfast, Medical Biology Centre, Belfast, UK.
Qonita Kurnia AnjaniSchool of Pharmacy, Queen's University Belfast, Medical Biology Centre, Belfast, UK.
José Antonio CañasAllergy Research Group, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND. RICORS "Enfermedades inflamatorias", Málaga, Spain.
María José TorresAllergy Research Group, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND. RICORS "Enfermedades inflamatorias", Málaga, Spain; Universidad de Málaga, Málaga, Spain; Allergy Unit, Hospital Regional Universitario de Málaga-HRUM, Málaga, Spain.
Cristobalina MayorgaAllergy Research Group, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND. RICORS "Enfermedades inflamatorias", Málaga, Spain; Allergy Unit, Hospital Regional Universitario de Málaga-HRUM, Málaga, Spain. Electronic address: lina.mayorga@ibima.eu.
Ryan F DonnellySchool of Pharmacy, Queen's University Belfast, Medical Biology Centre, Belfast, UK. Electronic address: r.donnelly@qub.ac.uk.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Dissolving microneedle array patches (DMAP) enable efficient and painless delivery of therapeutic molecules across the stratum corneum and into the upper layers of the skin. Furthermore, this delivery strategy can be combined with the sustained release of nanoparticles to enhance the therapeutic potential in a wide variety of pathological scenarios. Among the different types of nanoparticles that can be included in microneedle formulations, mesoporous silica nanoparticles (MSN) of tunable pore sizes constitute a promising tool as drug delivery systems for cargos of a wide range of molecular weights. In this work, a new preparation method was developed to produce DMAP containing ca. 2.3 mg of MSN of different pore sizes located mainly in the microneedle tips. The successful insertion of these DMAPs was confirmed in vitro (using Parafilm), ex vivo (using excised neonatal porcine skin) and in vivo (in the back of mice). The dissolution of the microneedles and deposition of the nanoparticles inside the skin were also confirmed both ex vivo and in vivo using fluorescent nanoparticles (with an intradermal deposition of 20.9 ± 7.26 % of the MSN in each DMAP in neonatal porcine skin). Finally, the in vivo release of the cargo from nanoparticles deposited inside mouse skin after microneedle insertion was confirmed through in vivo fluorescence measurements.

Indexed as

Administration, CutaneousDelayed-Action PreparationsDrug Delivery SystemsNanoparticlesNeedlesSilicon DioxideSkinAnimalsDrug LiberationMiceMicroinjectionsPorositySkin AbsorptionSwineTransdermal PatchDelayed-Action PreparationsSilicon DioxideDrug deliveryMesoporous silica nanoparticlesMicroneedlesNanomedicine

Identifiers

PMID39662856
PMCPMC11757158

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.