Evidence map›Paper›PMID 40763075›Full record

ArticleAnalytical chemistry2025

Passive Membrane Transport Analysis of Drug Mixtures.

Robert Strutt, Simon F Berlanda, Petra S Dittrich

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. 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.

Robert StruttDepartment of Biosystems Science and Engineering, ETH Zürich, Schanzenstrasse 44, 4056 Basel, Switzerland.ORCID 0000-0003-0979-2000
Simon F BerlandaDepartment of Biosystems Science and Engineering, ETH Zürich, Schanzenstrasse 44, 4056 Basel, Switzerland.
Petra S DittrichDepartment of Biosystems Science and Engineering, ETH Zürich, Schanzenstrasse 44, 4056 Basel, Switzerland.ORCID 0000-0001-5359-8403

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Membrane transport is fundamental to biological cells and is a major hurdle in the rational design of pharmaceuticals. To measure membrane transport in vitro, most methods focus on simple diffusion of a single analyte across nonbiomimetic interfaces. Membrane engineering has facilitated novel strategies for the reconstitution, characterization, and application of biomimetic membranes. Herein, we define drug mixture analysis, an in vitro, label-free HPLC-MS, droplet interface bilayer (DIB) method, to assess membrane transport of drug mixtures and delineate simultaneous transport mechanisms. We use our method to classify the permeability of drugs from a structurally diverse FDA-approved library. This deep analysis uncovered correlation between determined permeability classifiers and drug properties such as the hydrophobic retention time, hydrogen bond donor count, lipophilicity, and predicted gut absorption. Across higher mimetic membranes, passive transport was quantified under physiologically relevant variables such as pH, temperature, lipid composition, and, in the presence of proteins, the coexistence of facilitated diffusion and simple diffusion. Our results show that DIBs are physiologically relevant interfaces for investigating membrane transport mechanisms relevant to artificial cell systems and drug screening.

Indexed as

Lipid BilayersBiological TransportChromatography, High Pressure LiquidDiffusionMass SpectrometryPharmaceutical PreparationsLipid BilayersPharmaceutical Preparations

Identifiers

PMID40763075
PMCPMC12368836

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.