Evidence map›Paper›PMID 36839981›Full record

ArticlePharmaceutics2023

Pleiotrophin-Loaded Mesoporous Silica Nanoparticles as a Possible Treatment for Osteoporosis.

Daniel Lozano, Beatriz Leiva, Inés S Gómez-Escalonilla, Sergio Portal-Núñez, Arancha R de Górtazar, Miguel Manzano, María Vallet-Regí

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 34% of its field
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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  2. Article
  3. Arginine-loaded silica nanoparticles inhibit E. faecalis in root canals.Journal of materials science. Materials in medicine · 2026
    Article
  4. Review
  5. Review
  6. Review
  7. 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

7 authors at 2 institutions in 1 country.

Daniel LozanoDepartamento de Química en Ciencias Farmacéuticas, Facultad de Farmacia, Universidad Complutense de Madrid, Instituto de Investigación Hospital 12 de Octubre (i+12), Plaza de Ramón y Cajal s/n, 28040 Madrid, Spain.ORCID 0000-0001-5902-9201
Beatriz LeivaDepartamento de Química en Ciencias Farmacéuticas, Facultad de Farmacia, Universidad Complutense de Madrid, Instituto de Investigación Hospital 12 de Octubre (i+12), Plaza de Ramón y Cajal s/n, 28040 Madrid, Spain.
Inés S Gómez-EscalonillaDepartamento de Química en Ciencias Farmacéuticas, Facultad de Farmacia, Universidad Complutense de Madrid, Instituto de Investigación Hospital 12 de Octubre (i+12), Plaza de Ramón y Cajal s/n, 28040 Madrid, Spain.
Sergio Portal-NúñezGrupo de Fisiopatología Ósea, Departamento de Ciencias Médicas Básicas, Instituto de Medicina Aplicada de la Universidad San Pablo-CEU, Facultad de Medicina, Universidad San Pablo CEU, CEU Universities, Urbanización Montepríncipe s/n, 28925 Madrid, Spain.
Arancha R de GórtazarGrupo de Fisiopatología Ósea, Departamento de Ciencias Médicas Básicas, Instituto de Medicina Aplicada de la Universidad San Pablo-CEU, Facultad de Medicina, Universidad San Pablo CEU, CEU Universities, Urbanización Montepríncipe s/n, 28925 Madrid, Spain.
Miguel ManzanoDepartamento de Química en Ciencias Farmacéuticas, Facultad de Farmacia, Universidad Complutense de Madrid, Instituto de Investigación Hospital 12 de Octubre (i+12), Plaza de Ramón y Cajal s/n, 28040 Madrid, Spain.ORCID 0000-0001-6238-6111
María Vallet-RegíDepartamento de Química en Ciencias Farmacéuticas, Facultad de Farmacia, Universidad Complutense de Madrid, Instituto de Investigación Hospital 12 de Octubre (i+12), Plaza de Ramón y Cajal s/n, 28040 Madrid, Spain.ORCID 0000-0002-6104-4889
Universidad Complutense de Madrid · ESUniversidad San Pablo CEU · ES

Funding

CEU San Pablo University FUSPBS-PPC04/2018European Research Council ERC-2015-AdG proposal no. 694160Government of Spain PID2019-106436RB-I00
6 · The paper itself

Abstract

Osteoporosis is the most common type of bone disease. Conventional treatments are based on the use of antiresorptive drugs and/or anabolic agents. However, these treatments have certain limitations, such as a lack of bioavailability or toxicity in non-specific tissues. In this regard, pleiotrophin (PTN) is a protein with potent mitogenic, angiogenic, and chemotactic activity, with implications in tissue repair. On the other hand, mesoporous silica nanoparticles (MSNs) have proven to be an effective inorganic drug-delivery system for biomedical applications. In addition, the surface anchoring of cationic polymers, such as polyethylenimine (PEI), allows for greater cell internalization, increasing treatment efficacy. In order to load and release the PTN to improve its effectiveness, MSNs were successfully internalized in MC3T3-E1 mouse pre-osteoblastic cells and human mesenchymal stem cells. PTN-loaded MSNs significantly increased the viability, mineralization, and gene expression of alkaline phosphatase and Runx2 in comparison with the PTN alone in both cell lines, evidencing its positive effect on osteogenesis and osteoblast differentiation. This proof of concept demonstrates that MSN can take up and release PTN, developing a potent osteogenic and differentiating action in vitro in the absence of an osteogenic differentiation-promoting medium, presenting itself as a possible treatment to improve bone-regeneration and osteoporosis scenarios.

Indexed as

mesoporous materialsnanoparticlesosteoblastsosteogenicosteoporosispleiotrophinpolyethyleniminestem cells

Identifiers

PMID36839981
PMCPMC9966378
OpenAlexW4321097763

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.