Evidence map›Paper›PMID 24092054›Full record

ArticlePharmaceutical research2013

Glyceride lipid formulations: molecular dynamics modeling of phase behavior during dispersion and molecular interactions between drugs and excipients.

Dallas B Warren, Dylan King, Hassan Benameur, Colin W Pouton, David K Chalmers

Abstract read
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In one paragraph

Article in Pharmaceutical research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.4field-weighted citation impact, top 7% of its field
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

11 citing papers in PubMed, 36 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Dallas B WarrenDrug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville Campus, Melbourne, Victoria, Australia.
Dylan King
Hassan Benameur
Colin W Pouton
David K Chalmers
Monash University · AUCapsum (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLittle is known about the microstructure of lipid-based formulations, or how their structure changes as they disperse in the lumen of the gastrointestinal tract. We used molecular dynamics (MD) simulation to study such formulations at the molecular level as they interact with water during dispersion.

methodsWe studied a simple lipid formulation, by itself and in the presence of drugs. The formulation contained mono- and di-lauroyl glycerides at 0-75% (w)/w water. Acyclovir, danazol, hydrocortisone, ketoprofen or progesterone, were included to investigate their dynamic behavior and localization during dispersion.

resultsMicro-structuring of the formulation was evident at all water concentrations. As the water content increased, the microstructure evolved from a continuous phase containing isolated water molecules, to a reverse micellar solution and finally to a system containing lamellar lipids with large pools of free water. Drugs partitioned into the aqueous and lipid domains principally under the influence of hydrogen bonding and hydrophobic interactions. Drugs located preferentially to the interfaces between water and lipid where they are able to make both hydrophobic and hydrophilic interactions.

conclusionMolecular dynamics simulations offer an unprecedented view of the structure of lipid-based formulations and has considerable potential as an in silico tool for formulators.

Indexed as

ExcipientsGlyceridesLipidsMolecular Dynamics SimulationPharmaceutical PreparationsPhase TransitionSolubilityExcipientsGlyceridesLipidsPharmaceutical Preparations

Identifiers

PMID24092054
OpenAlexW2013234154

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.