Evidence map›Paper›PMID 40650006›Full record

ReviewInternational journal of molecular sciences2025

Nanoneedle-Based Transdermal Gene Delivery: A Minimally Invasive Strategy for Gene Therapy.

Fatma Julide Akbuğa, Muhammet Davut Arpa, Emine Şalva

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Smart micro/nanoneedles for gene delivery.Iranian journal of basic medical sciences · 2026
    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

3 authors.

Fatma Julide AkbuğaDepartment of Pharmaceutical Technology, School of Pharmacy, Istanbul Medipol University, 34815 İstanbul, Türkiye.ORCID 0000-0002-1693-9579
Muhammet Davut ArpaDepartment of Pharmaceutical Technology, School of Pharmacy, Istanbul Medipol University, 34815 İstanbul, Türkiye.ORCID 0000-0001-9290-2404
Emine ŞalvaDepartment of Pharmaceutical Biotechnology, Faculty of Pharmacy, Inonu University, 44280 Malatya, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transdermal drug delivery systems have recently been explored as an alternative to oral systems, which have many challenges. Due to the limitations of first-generation transdermal systems, second- and third-generation systems have been developed, among which microneedles have been the most remarkable products. Building on the advancements of nanotechnology, nanoneedles have recently been developed. Gene therapy molecules-such as DNA, RNA, siRNA, miRNA, and other nucleic acids-are typically delivered using viral or chemical carriers, but these methods face several challenges. In this context, nanoneedles offer a promising and efficient solution for delivering these large molecules. Nanoneedles are a biocompatible and reliable physical method for gene delivery, enabling transdermal administration by penetrating the skin barrier and delivering nucleic acids directly into cells. Their ability to penetrate cellular barriers with minimal invasiveness makes them advantageous for delivering genetic materials. This review will focus on the potential applications of nanoneedles in pharmaceutical contexts, especially in gene therapy. In addition, information on the properties, structure, and fabrication of nanoneedles is also provided.

Indexed as

Genetic TherapyGene Transfer TechniquesNanostructuresNanotechnologyAdministration, CutaneousAnimalsDrug Delivery SystemsHumansNeedlesCRISPRDNAgene deliverynanoneedlesiRNAtransdermal

Identifiers

PMID40650006
PMCPMC12249778

What OpenQuestion holds

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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.