Clinical Scorecard: Proteomic Profiling Defines Vascular Cell States

At a Glance

Key Highlights

• Label-free single-cell proteomics enables detailed characterization of vascular cell states.
• Identification of distinct smooth muscle cell phenotypes associated with Marfan syndrome.
• Proteins LRP1 and PRSS2 show increased abundance in disease models.
• Endothelial cells exhibit reduced adhesion proteins and increased smooth muscle markers.
• Integration of transcriptomic and proteomic data reveals complementary insights into cellular states.

Guideline-Based Recommendations

Diagnosis

• Utilize proteomic profiling to identify disease-associated cell states.

Management

• Consider multi-omic approaches for understanding aneurysm progression.

Monitoring & Follow-up

• Track changes in protein expression levels in vascular cells over time.

Risks

• Monitor for phenotypic shifts that may indicate disease progression.

Patient & Prescribing Data

Individuals diagnosed with Marfan syndrome.

Potential targets for therapeutic intervention include ACE, TPM4, LRP1, and PRSS2.

Clinical Best Practices

• Implement single-cell proteomics in research to enhance understanding of vascular diseases.
• Use spatial proteomics to confirm anatomical distribution of key markers.
• Integrate proteomic and transcriptomic data for comprehensive cellular analysis.

References

• Cedars-Sinai Medical Center Study