Evidence map›Paper›PMID 35927954›Full record

ArticleBiophysical journal2022

Distribution of cholesterol in asymmetric membranes driven by composition and differential stress.

Malavika Varma, Markus Deserno

Abstract read
In one paragraph

Article in Biophysical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Critique of a Radically New Model for Plasma Membrane Bilayer Organization.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  4. Article
  5. Article
  6. Bottom-up Coarse-Grained Models of Asymmetric Membranes.The journal of physical chemistry. B · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Malavika VarmaDepartment of Physics, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Markus DesernoDepartment of Physics, Carnegie Mellon University, Pittsburgh, Pennsylvania. Electronic address: deserno@andrew.cmu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many lipid membranes of eukaryotic cells are asymmetric, which means the two leaflets differ in at least one physical property, such as lipid composition or lateral stress. Maintaining this asymmetry is helped by the fact that ordinary phospholipids rarely transition between leaflets, but cholesterol is an exception: its flip-flop times are in the microsecond range, so that its distribution between leaflets is determined by a chemical equilibrium. In particular, preferential partitioning can draw cholesterol into a more saturated leaflet, and phospholipid number asymmetry can force it out of a compressed leaflet. Combining highly coarse-grained membrane simulations with theoretical modeling, we investigate how these two driving forces play against each other until cholesterol's chemical potential is equilibrated. The theory includes two coupled elastic sheets and a Flory-Huggins mixing free energy with a χ parameter. We obtain a relationship between χ and the interaction strength between cholesterol and lipids in either of the two leaflets, and we find that it depends, albeit weakly, on lipid number asymmetry. The differential stress measurements under various asymmetry conditions agree with our theoretical predictions. Using the two kinds of asymmetries in combination, we find that it is possible to counteract the phospholipid number bias, and the resultant stress in the membrane, via the control of cholesterol mixing in the leaflets.

Indexed as

CholesterolLipid BilayersEntropyPhospholipidsCholesterolLipid BilayersPhospholipids

Identifiers

PMID35927954
PMCPMC9674969

What OpenQuestion holds

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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.