Evidence map›Paper›PMID 39400024›Full record

ReviewPharmaceutical nanotechnology2026

Lipid-based Nanoparticles as Drug Delivery System for Modern Therapeutics.

Shivani Gandhi, Divyesh Harshadkumar Shastri

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pharmaceutical nanotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Shivani GandhiDepartment of Pharmaceutics and Pharmaceutical Technology, K.B. Institute of Pharmaceutical Education and Research, A Constituent College of Kadi Sarva Vishwavidyalaya, Sarva Vidyalaya Kelavani Mandal (SVKM), Gh-6, Sector-23, Kadi Campus, Gandhinagar, Gujarat, 382016, India.
Divyesh Harshadkumar ShastriDepartment of Pharmaceutics and Pharmaceutical Technology, K.B. Institute of Pharmaceutical Education and Research, A Constituent College of Kadi Sarva Vishwavidyalaya, Sarva Vidyalaya Kelavani Mandal (SVKM), Gh-6, Sector-23, Kadi Campus, Gandhinagar, Gujarat, 382016, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of lipid-based nanoparticulate systems has significantly reshaped the landscape of drug delivery. This review aims to encapsulate the advancements, challenges, and potential of lipid-based nanoparticulate drug delivery in modern therapeutics. Lipid-based nanoparticles, including liposomes, lipid nanoparticles, and solid lipid nanoparticles, harness the biocompatibility and biodegradability of lipids to encapsulate and deliver a diverse range of therapeutic agents. This platform offers solutions to various drug delivery challenges, such as enhancing drug solubility and bio- availability, achieving controlled and sustained release, targeted delivery, and co-delivery of multi-agents. These nanoparticles have demonstrated potential in overcoming biological barriers, including the blood-brain barrier, mucosal barriers, and cellular barriers, enabling the delivery of drugs to previously inaccessible sites. Biocompatibility and reduced toxicity are intrinsic attributes of lipid-based nanoparticles, minimizing immune responses and systemic toxicity while promoting personalized medicine possibilities. However, challenges in formulation, stability, and regulatory approval underscore the need for ongoing research and innovation in this field.

Indexed as

Drug CarriersDrug Delivery SystemsLipidsNanoparticle Drug Delivery SystemNanoparticlesAnimalsHumansLiposomesDrug CarriersLipidsLiposomesNanoparticle Drug Delivery Systemapplicationbiological barriersdrug deliverylipid-based nanoparticulate systemsLiposometechnique

Identifiers

What OpenQuestion holds

Textmetadata
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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.