Evidence map›Paper›PMID 41019624›Full record

ArticleACS physical chemistry Au2025

The Effect of Ceramide Ratio on the Membrane Curvature of Mimetic Models of Matrix Vesicles.

Diane C A Lima, Guilherme Volpe Bossa, Pietro Ciancaglini, Ana P Ramos, Thereza A Soares

Abstract read
In one paragraph

Article in ACS physical chemistry Au, 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
  2. Review
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.

Diane C A LimaDepartment of Chemistry, FFCLRP, University of São Paulo, 14040-901 Ribeirão Preto, Brazil.
Guilherme Volpe BossaInstitute of Mathematical and Physical Sciences, Universidad Austral de Chile, 5090000 Valdivia, Chile.ORCID https://orcid.org/0000-0001-5956-8504
Pietro CiancagliniDepartment of Chemistry, FFCLRP, University of São Paulo, 14040-901 Ribeirão Preto, Brazil.
Ana P RamosDepartment of Chemistry, FFCLRP, University of São Paulo, 14040-901 Ribeirão Preto, Brazil.ORCID https://orcid.org/0000-0001-6200-8989
Thereza A SoaresDepartment of Chemistry, FFCLRP, University of São Paulo, 14040-901 Ribeirão Preto, Brazil.ORCID https://orcid.org/0000-0002-5891-6906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lipid composition of membrane systems plays a critical role in regulating their structural dynamics and curvature, particularly in the biological context of matrix vesicles (MVs) formation during bone mineralization. Recent evidence suggests that the lipid composition of MVs, particularly the balance between sphingomyelin (SM) and ceramide (CER), influences their curvature and stability. We report on the impact of SM and CER ratios on membrane curvature through surface pressure-area isotherm measurements and molecular dynamics (MD) simulations at atomistic and coarse-grained levels. Our findings reveal that increasing the CER content up to 25% significantly enhances membrane curvature, as demonstrated by changes in experimental compressibility moduli and lateral pressure profiles. The lateral pressure profiles and spontaneous bending moments calculated from MD simulations of osteoblast-mimetic membrane models suggest a strong propensity for curvature, particularly in asymmetrical bilayers. It also reveals the role of CER-rich domains in the stabilization of membrane curvature, potentially facilitating the budding processes critical for MVs formation in osteoblasts. These findings underscore the critical role of lipid composition in the mechanisms driving MVs biogenesis.

Indexed as

ceramideLangmuir−Blodgettmatrix vesiclesmembrane curvaturemolecular dynamic simulationssphingomyelinsphingomyelinase

Identifiers

PMID41019624
PMCPMC12464780

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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.