Evidence map›Paper›PMID 40852805›Full record

ReviewAdvanced materials (Deerfield Beach, Fla.)2026

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects.

Miguel Manzano, María Vallet-Regí

Abstract readReview
In one paragraph

Review in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  5. Nanomaterials-Based Immunotherapy for Atherosclerosis.Small (Weinheim an der Bergstrasse, Germany) · 2026
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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

2 authors.

Miguel ManzanoDepartment of Chemistry in Pharmaceutical Sciences, School of Pharmacy, Institute Hospital 12 de Octubre (Imas12), Universidad Complutense de Madrid (UCM), Madrid, 28040, Spain.
María Vallet-RegíDepartment of Chemistry in Pharmaceutical Sciences, School of Pharmacy, Institute Hospital 12 de Octubre (Imas12), Universidad Complutense de Madrid (UCM), Madrid, 28040, Spain.ORCID 0000-0002-6104-4889

Funding

Comunidad de Madrid (MAD2D-CM)-UCMEuropean Union PR47/21-MAD2D-CMHORIZON EUROPE European Research Council 694160Next Generation EUSpanish National Plan for Scientific and Technical Research and InnovationTransformation and Resilience plan
6 · The paper itself

Abstract

Mesoporous Silica Nanoparticles (MSNs) represent a versatile platform in biomedicine thanks to their unique structural properties and functional versatility. These nanoparticles are at the forefront, offering exceptional biocompatibility, tunable pore sizes, and surface functionalization to enhance drug loading and controlled release. On top of that, stimuli-responsive MSNs can be designed to respond to specific triggers such as pH, temperature, or light. These smart MSNs further optimize drug delivery by ensuring targeted release and minimizing side effects. Beyond drug delivery applications, mesoporous materials are increasingly utilized in tissue regeneration, providing scaffolds that promote cell growth and integration. In bone-related pathologies, these materials exhibit significant potential, enhancing mineralization and facilitating the repair of osseous defects. Future perspectives focus on advancing the multifunctionality of MSNs, integrating imaging, therapeutic, and diagnostic capabilities into single platforms. The remarkable adaptability of MSNs ensures their continued evolution, paving the way for innovative solutions to complex biomedical challenges.

Indexed as

NanoparticlesSilicon DioxideAnimalsBiocompatible MaterialsDrug CarriersHumansNanomedicinePorosityBiocompatible MaterialsDrug CarriersSilicon Dioxidedrug deliverynanomedicinenanoparticles

Identifiers

PMID40852805
PMCPMC13569046

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.