Spatial omics strategies for investigating human carotid atherosclerotic disease

Jiaxin Wan1, Zhi Sun2, Xueqiong Feng2

  • 1Department of Neurointervention, the First Affiliated Hospital of Zhengzhou, University, Henan Provincial Neurointerventional Engineering Research Center, Zhengzhou, Henan, China.

Insights

Spatial omics advances the study of atherosclerosis by mapping plaque heterogeneity. This technology reveals molecular insights into disease progression and potential rupture mechanisms, aiding diagnosis.

Area of Science:

  • Cardiovascular Research
  • Molecular Pathology
  • Biomedical Engineering

Background:

  • Atherosclerosis involves complex, heterogeneous plaques, challenging current classification methods.
  • Plaque instability and rupture lead to severe clinical events like thrombosis and vessel occlusion.
  • Traditional omics technologies have limitations in analyzing minute molecular details within tissues.

Purpose of the Study:

  • To review advancements in spatial omics for studying atherosclerosis.
  • To highlight how spatial mapping enhances understanding of plaque heterogeneity and disease mechanisms.
  • To explore the diagnostic potential of spatial omics in atherosclerotic cerebrovascular disease.

Main Methods:

  • Review of recent literature on spatial omics techniques applied to atherosclerosis.
  • Analysis of how spatial omics visualizes and quantifies molecular components within atherosclerotic plaques.
  • Focus on extracranial carotid atherosclerotic cerebrovascular disease models.

Main Results:

  • Spatial omics enables detailed visualization of molecular heterogeneity within atherosclerotic plaques.
  • These techniques overcome limitations of traditional omics in studying minute molecular details.
  • Spatial omics facilitates identification of potential biomarkers for disease progression and rupture.

Conclusions:

  • Spatial omics offers novel insights into atherosclerosis pathogenesis and plaque instability.
  • It provides enhanced methods for studying disease progression and identifying therapeutic targets.
  • Application of spatial omics holds promise for improved diagnosis and management of atherosclerosis.