Evidence map›Paper›PMID 39796045›Full record

ArticleInternational journal of molecular sciences2024

Identification of Disease-Relevant, Sex-Based Proteomic Differences in iPSC-Derived Vascular Smooth Muscle Cells.

Nethika R Ariyasinghe, Divya Gupta, Sean Escopete, Deepika Rai, Aleksandr Stotland, Niveda Sundararaman, Benjamin Ngu, Kruttika Dabke, Liam McCarthy, Roberta S Santos and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Nethika R AriyasingheAdvanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0003-2917-3311
Divya GuptaAdvanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Sean EscopeteAdvanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Deepika RaiAdvanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0001-6738-3702
Aleksandr StotlandAdvanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0003-4794-1097
Niveda SundararamanAdvanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Benjamin NguAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90007, USA.
Kruttika DabkeCenter for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0001-6603-0163
Liam McCarthyAdvanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Roberta S SantosBoard of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0003-1652-3212
Megan L McCainAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90007, USA.
Dhruv SareenBoard of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Sarah J ParkerAdvanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0001-8911-3615

Funding

Mechanisms of sex-biased risk and resiliency in aneurysm and dissectionR01HL165471 · CEDARS-SINAI MEDICAL CENTER · 2025 to 2025
$418k
California Institute for Regenerative Medicine EDUC4-12751Cedars-Sinai Center for Research in Women's Health and Sex Differences n/aNHLBI NIH HHS R01 HL165471NIA NIH HHS U54 AG065141NIH HHS 5U54AG065141-04NIH HHS R01HL165471-03NIH HHS T32HL1162713
6 · The paper itself

Abstract

The prevalence of cardiovascular disease varies with sex, and the impact of intrinsic sex-based differences on vasculature is not well understood. Animal models can provide important insights into some aspects of human biology; however, not all discoveries in animal systems translate well to humans. To explore the impact of chromosomal sex on proteomic phenotypes, we used iPSC-derived vascular smooth muscle cells from healthy donors of both sexes to identify sex-based proteomic differences and their possible effects on cardiovascular pathophysiology. Our analysis confirmed that differentiated cells have a proteomic profile more similar to healthy primary aortic smooth muscle cells than iPSCs. We also identified sex-based differences in iPSC-derived vascular smooth muscle cells in pathways related to ATP binding, glycogen metabolic process, and cadherin binding as well as multiple proteins relevant to cardiovascular pathophysiology and disease. Additionally, we explored the role of autosomal and sex chromosomes in protein regulation, identifying that proteins on autosomal chromosomes also show sex-based regulation that may affect the protein expression of proteins from autosomal chromosomes. This work supports the biological relevance of iPSC-derived vascular smooth muscle cells as a model for disease, and further exploration of the pathways identified here can lead to the discovery of sex-specific pharmacological targets for cardiovascular disease.

Indexed as

Cardiovascular DiseasesInduced Pluripotent Stem CellsMuscle, Smooth, VascularMyocytes, Smooth MuscleProteomeProteomicsCell DifferentiationCells, CulturedFemaleHumansMaleSex CharacteristicsSex FactorsProteomedisease modeliPSCsproteomicssex differencesvascular smooth muscle cells

Identifiers

PMID39796045
PMCPMC11719605

What Socratic holds

Textmetadata
LicenceCC BY
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.