Evidence map›Paper›PMID 40308029›Full record

ArticleBiophysical journal2025

Cholesterol allosteric modulation of the oxytocin receptor.

Brennica Marlow, Alexander Vogel, Georg Kuenze, Maik Pankonin, Franziska Reinhardt, Peter F Stadler, Peter W Hildebrand, Jens Meiler

Abstract read
In one paragraph

Article in Biophysical journal, 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

8 authors.

Brennica MarlowCenter for Structural Biology, Vanderbilt University, Nashville, Tennessee; Chemical and Physical Biology Program, Vanderbilt University, Nashville, Tennessee; Department of Chemistry, Vanderbilt University, Nashville, Tennessee.
Alexander VogelInstitute of Medical Physics and Biophysics, Medical Faculty, Leipzig University, Leipzig, Germany.
Georg KuenzeInstitute for Drug Discovery, Medical Faculty, Leipzig University, Leipzig, Germany; Center for Scalable Data Analytics and Artificial Intelligence ScaDS.AI, Leipzig University, Leipzig, Germany; Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany.
Maik PankoninInstitute of Medical Physics and Biophysics, Medical Faculty, Leipzig University, Leipzig, Germany.
Franziska ReinhardtBioinformatics Group, Institute of Computer Science, Interdisciplinary Center of Bioinformatics, Leipzig University, Leipzig, Germany.
Peter F StadlerCenter for Scalable Data Analytics and Artificial Intelligence ScaDS.AI, Leipzig University, Leipzig, Germany; Bioinformatics Group, Institute of Computer Science, Interdisciplinary Center of Bioinformatics, Leipzig University, Leipzig, Germany; Max-Planck-Institute for Mathematics in the Sciences, Leipzig, Germany; Institute of Theoretical Chemistry, University of Vienna, Wien, Austria; Facultad de Ciencias, Universidad National de Colombia, Sede Bogota, Colombia; Santa Fe Institute, Santa Fe, New Mexico.
Peter W HildebrandCenter for Scalable Data Analytics and Artificial Intelligence ScaDS.AI, Leipzig University, Leipzig, Germany; Institute of Medical Physics and Biophysics, Medical Faculty, Leipzig University, Leipzig, Germany. Electronic address: peter.hildebrand@medizin.uni-leipzig.de.
Jens MeilerCenter for Structural Biology, Vanderbilt University, Nashville, Tennessee; Institute for Drug Discovery, Medical Faculty, Leipzig University, Leipzig, Germany; Center for Scalable Data Analytics and Artificial Intelligence ScaDS.AI, Leipzig University, Leipzig, Germany; Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany; Chemical and Physical Biology Program, Vanderbilt University, Nashville, Tennessee; Department of Chemistry, Vanderbilt University, Nashville, Tennessee. Electronic address: jens@meilerlab.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

G-protein coupled receptors are critical components in cellular signaling, mediating various physiological responses to external stimuli. Here, we investigate the intricate relationship between cholesterol and the oxytocin receptor (OXTR), focusing on the binding mechanisms and the allosteric cross talk of bound cholesterol to the orthosteric ligand binding pocket. Utilizing molecular docking and molecular dynamics simulations, we identify cholesterol binding sites both on the agonist-bound and antagonist-bound state, which show differing distributions and residence times of the cholesterol molecules. Importantly, both methods converge on several key sites, demonstrating strong predictive overlap. Notably, one such site, and several sites detected by our molecular dynamics approach, also coincide with electron density observed in an experimental cryo-EM map, providing orthogonal validation for computational predictions. Allosteric network analysis uncovers the distinct pathways through which cholesterol may affect ligand-mediated receptor signaling, highlighting the significance of one site on the extracellular leaflet between TM4 and TM5, and two sites on the intracellular leaflet between TM2, TM3, and TM4 and between TM4 and TM5 in transmitting allosteric signals to the orthosteric pocket. These findings provide insights into the impact of cholesterol on OXTR function, emphasizing specific binding sites and signaling paths for further experimental exploration.

Indexed as

CholesterolReceptors, OxytocinAllosteric RegulationBinding SitesHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingCholesterolLigandsReceptors, Oxytocin

Identifiers

PMID40308029
PMCPMC12256844

What Socratic 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 Socratic graph.