ReviewAAPS PharmSciTech2026
Functional Reclassification of Lipid-Based Drug Delivery Systems and Advances in Formulation Strategies and Manufacturing Challenges.
Review in AAPS PharmSciTech, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Plant-derived exosome-like nanovesicles as programmable bio-organic excipients: a next-generation platform for precision and immuno-silent drug delivery.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lipid-based drug delivery systems have progressed from a simple empirical solubilization tool towards a highly precise engineered platform, capable of delivering small drug molecules, biologics and nucleic acids. Despite proven achievements reflected through the success of lipid nanoparticles-based mRNA vaccine and siRNA medicines, wider clinical translation across complex diseases still remains limited by a fragmented classification system, inaccurate IVIVC, scale-up complexity and continuously evolving and highly demanding regulatory frameworks. This review re-evaluates lipid systems by providing a functional reclassification system that directly links formulation design with biological performance and scale-up science. Instead of categorising based on simple lipid composition and structural features, lipid-based drug delivery systems are reclassified based on their primary functional roles inside the biological system. Further, this review assesses methods to strengthen IVIVC for Lipid-based drug delivery systems and how quality-by-design and emerging quality-by-digital-design approaches supported by mechanistic modelling, in-process analytical tools and machine learning can be utilised to produce a smart and robust next generation lipid carrier. Lastly, this review also highlights persistent regulatory and transitional challenges, pointing out major gaps related to standardisation, comparability and late-stage failure.
Indexed as
Identifiers
41952026What Socratic holds
Registered trials
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 Socratic graph.