Plasma Lipidomics Identifies Unique Lipid Signatures and Potential Biomarkers for Patients With Aortic Dissection

Huang Huang1, Guozhu Ye2, Song-Qing Lai1

  • 1Department of Cardiac Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, China.

Insights

Aortic dissection (AD) involves significant plasma lipid alterations. Lysophosphatidylcholines show promise as highly accurate biomarkers for identifying AD patients, aiding diagnosis and treatment.

Area of Science:

  • Cardiovascular Research
  • Metabolomics
  • Biomarker Discovery

Background:

  • Aortic dissection (AD) is a life-threatening cardiovascular emergency with high mortality.
  • Abnormal lipid metabolism is implicated in AD pathogenesis, but comprehensive alterations are unclear.
  • There is a critical need for improved biomarkers for AD risk assessment and surveillance.

Purpose of the Study:

  • To investigate comprehensive plasma lipidomic alterations in AD patients.
  • To identify novel plasma lipid biomarkers for AD.
  • To explore the potential of identified lipids in AD diagnosis and risk assessment.

Main Methods:

  • Untargeted lipidomics using ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS).
  • Analysis of plasma samples from 35 AD patients and 32 healthy controls.
  • Statistical analysis to identify significantly altered lipid species and build correlation networks.

Main Results:

  • 278 out of 439 identified lipid species were significantly altered in AD patients.
  • Decreased levels of various lipids (e.g., fatty acids, cholesteryl esters, sphingomyelins) and accumulation of others (e.g., phosphatidylethanolamines) were observed.
  • Lysophosphatidylcholines demonstrated the most significant alterations and excellent diagnostic performance (AUC 1.0, 100% accuracy).

Conclusions:

  • This study reveals comprehensive plasma lipidomic signatures associated with AD.
  • Lysophosphatidylcholines are identified as highly promising biomarkers for AD diagnosis.
  • Findings support the utility of lipidomics in understanding AD pathogenesis and improving patient management.

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