Evidence map›Paper›PMID 42717150›Full record

ReviewAAPS PharmSciTech2026

Solid Lipid Nanoparticles Based Dry Powder Inhalers for Enhanced Drug Delivery Against Lung Diseases.

Cagla Onel, Yagmur Pirincci Tok, Yildiz Ozsoy

Abstract readReview
PubMed Publisher
In one paragraph

Review in AAPS PharmSciTech, 2026. 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

3 authors.

Cagla OnelInstitute of Health Sciences, Istanbul University, Istanbul, 34126, Türkiye.ORCID http://orcid.org/0009-0000-2639-8158
Yagmur Pirincci TokDepartment of Pharmaceutical Technology, Faculty of Pharmacy, Istanbul Health and Technology University, Istanbul, 34275, Türkiye. yagmur.tok@istun.edu.tr.ORCID http://orcid.org/0000-0001-6915-0283
Yildiz OzsoyDepartment of Pharmaceutical Technology, Faculty of Pharmacy, Istanbul University, Istanbul, 34126, Türkiye.ORCID http://orcid.org/0000-0002-9110-3704

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global incidence of lung diseases associated with high mortality and morbidity rates is projected to rise in the coming years. Conventional therapies face limitations such as low bioavailability and systemic side effects with oral administration, as well as poor patient compliance and frequent dosing with traditional inhalers. These shortcomings have created an urgent need for novel pulmonary drug delivery systems. In recent years, nanoparticulate drug carriers have gained significance for their potential to enable targeted lung delivery and reduced dosing frequency. Among them, solid lipid nanoparticles (SLNs) have attracted considerable attention due to their biocompatible and biodegradable structures, controlled release capabilities, organic solvent-free production processes and favorable aerodynamic behavior. This review provides a comprehensive perspective to guide the rational design of SLN-based dry powder inhaler (DPI) systems by integrating formulation strategies, production techniques, surface functionalization, and DPI development, with the goal of enhancing therapeutic outcomes in respiratory diseases such as cancer, infections, chronic obstructive pulmonary disease, and cystic fibrosis.

Indexed as

Dry Powder InhalersLipidsLung DiseasesNanoparticlesAdministration, InhalationAnimalsChemistry, PharmaceuticalDrug CarriersDrug Delivery SystemsHumansLiposomesDrug CarriersLipid NanoparticlesLipidsLiposomesdry powder inhalernanotechnologypulmonary targetingsolid lipid nanoparticles

Identifiers

PMID42717150

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.