Evidence map›Paper›PMID 39878544›Full record

ArticleTherapeutic delivery2025

A quality-by-design approach to develop abemaciclib solid lipid nanoparticles for targeting breast cancer cell lines.

Bonnie Chin, Wei Meng Lim, Samah Hamed Almurisi, Thiagarajan Madheswaran

Abstract read
In one paragraph

Article in Therapeutic delivery, 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
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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

4 authors.

Bonnie ChinSchool of Postgraduate Studies, International Medical University, Kuala Lumpur, Malaysia.
Wei Meng LimSchool of Pharmacy, Monash University, Selangor, Malaysia.
Samah Hamed AlmurisiDepartment of Pharmaceutical Technology, School of Pharmacy, International Medical University (IMU), Kuala Lumpur, Malaysia.
Thiagarajan MadheswaranDepartment of Pharmaceutical Technology, School of Pharmacy, International Medical University (IMU), Kuala Lumpur, Malaysia.ORCID 0000-0001-5049-0659

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAbemaciclib (ABE) is an anticancer drug that suffers from low bioavailability and multidrug resistance. This study aims to develop ABE-loaded solid lipid nanoparticles (ABE-SLNs), which will enhance drug solubility and lead to increased cellular uptake and enhanced cytotoxicity when delivering tumor cells.

methodsMelt emulsification followed by ultrasonication was used as a method of preparation and Quality-by-Design (QbD) was utilized to optimize ABE-SLNs.

resultsThe optimized ABE-SLNs consist of Precirol-ATO5 as a lipid and Brij-58 as a surfactant. The particle size, PDI value, and zeta potential of the optimized formulation were 170.4 ± 0.49 nm, 0.25 ± 0.014, and -26.4 ± 0.1 mV, respectively. It also showed sustained release behavior and a high entrapment efficiency of 79.96%. ABE-SLNs exhibited enhanced anticancer activity in the MDA-MB-231 and T47D breast cancer cell lines compared to pure ABE. In Caco-2 human colonic cell lines, ABE-SLNs also showed increased cellular uptake.

conclusionThe use of QbD to achieve high entrapment efficiency and sustained release in ABE-SLNs, coupled with enhanced cellular uptake and cytotoxicity, represents a novel approach that could set a new standard for nanoparticle-based drug delivery systems.

Indexed as

AminopyridinesAntineoplastic AgentsBenzimidazolesBreast NeoplasmsLipidsNanoparticlesCaco-2 CellsCell Line, TumorCell SurvivalDrug CarriersDrug LiberationFemaleHumansLiposomesParticle SizeSolubilityabemaciclibAminopyridinesAntineoplastic AgentsBenzimidazolesDrug CarriersLipid NanoparticlesLipidsLiposomesSurface-Active AgentsAbemaciclibanticancerBrij-58Precirol ATO-5solid lipid nanoparticles

Identifiers

PMID39878544
PMCPMC11849948

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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.