Evidence map›Paper›PMID 42093645›Full record

ReviewBiochemical Society transactions2026

Lipid transport mechanisms in human ABCA family transporters: a structural perspective.

Subhrajyoti Dolai, Amer Alam

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2026. 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

2 authors.

Subhrajyoti Dolai *The Hormel Institute, University of Minnesota, Austin, Minnesota 55912, U.S.A.
Amer AlamThe Hormel Institute, University of Minnesota, Austin, Minnesota 55912, U.S.A.ORCID 0000-0001-9580-4949

Funding

HHS | NIH | National Institute of General Medical Sciences (NIGMS) 5R01GM146906HHS | NIH | National Institute on Aging (NIA) 1R21AG069180
6 · The paper itself

Abstract

ATP-binding cassette (ABC) transporters are essential membrane proteins that couple ATP hydrolysis to move diverse substrates across lipid bilayers through large-scale conformational changes. In humans, 48 ABC transporters span seven subfamilies (A-G); within these, the ABCA subfamily mediates cellular lipid handling in contexts ranging from neural function to pulmonary surfactant production, and its dysfunction contributes to human disease from cardiovascular disorders to Alzheimer's. These diverse physiological roles all depend on precise lipid translocation within or across membrane systems, a shared principle that is often underemphasized in broad "lipid-transporter" classifications. This review summarizes the structural landscape of the ABCA family and re-examines the mechanistic insights that have emerged. We compare and contrast transport models derived from detergent-solubilized and lipid-embedded structures, with particular emphasis on lipid-embedded ABCA7, which supports a membrane-integrated mechanism in which the bilayer itself contributes to the transport pathway. We highlight shared rigid-body transitions, outline open questions surrounding transport directionality and protein-lipid coupling, and suggest that future models should treat the membrane not merely as a passive scaffold but as an integral component of the transport mechanism, while recognizing that membrane-integrated behavior is currently established structurally only for ABCA7 and remains a working hypothesis for other family members.

Indexed as

ATP-Binding Cassette TransportersLipid MetabolismBiological TransportHumansLipid BilayersModels, MolecularProtein ConformationATP-Binding Cassette TransportersLipid BilayersABCA1ABCA7ABC transport proteinsapolipoproteinsmembrane proteinsmembrane transporters

Identifiers

PMID42093645
PMCPMC13161189

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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.