Identification of lipid metabolism related immune markers in atherosclerosis through machine learning and experimental analysis.

Journal: Frontiers in immunology
PMID: 40070840

Abstract

BACKGROUND: Atherosclerosis is a significant contributor to cardiovascular disease, and conventional diagnostic methods frequently fall short in the timely and accurate detection of early-stage atherosclerosis. Abnormal lipid metabolism plays a critical role in the development of atherosclerosis. Consequently, the identification of new diagnostic markers is essential for the precise diagnosis of this condition.

Authors

  • Hang Chen
    Department of Ophthalmology, Shaanxi Provincial People's Hospital, Xi'an, China; and.
  • Biao Wu
    School of Computer Science, Guangdong University of Technology, China.
  • Kunyu Guan
    Pediatrics, Changhai Hospital Affiliated to Naval Medical University, Shanghai, China.
  • Liang Chen
    Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
  • Kangjie Chai
    Department of Vascular Surgery, Changhai Hospital Affiliated to Naval Medical University, Shanghai, China.
  • Maoji Ying
    General Practice, Changhai Hospital Affiliated to Naval Medical University, Shanghai, China.
  • Dazhi Li
    Department of Vascular Surgery, Changhai Hospital Affiliated to Naval Medical University, Shanghai, China.
  • Weicheng Zhao
    Department of Interventional, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.

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