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Progress in the Metabolomics of Acute Coronary Syndrome.
Zhang, Fu; Li, Bo; Su, Hongling; Guo, Zhaoxia; Zhu, Hai; Wang, Aqian; Jiang, Kaiyu; Cao, Yunshan.
Afiliação
  • Zhang F; Department of Cardiology, Pulmonary Vascular Disease Center (PVDC), Gansu Provincial Hospital, 730000 Lanzhou, Gansu, China.
  • Li B; The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), 730000 Lanzhou, Gansu, China.
  • Su H; Department of Cardiology, Pulmonary Vascular Disease Center (PVDC), Gansu Provincial Hospital, 730000 Lanzhou, Gansu, China.
  • Guo Z; Department of Cardiology, Pulmonary Vascular Disease Center (PVDC), Gansu Provincial Hospital, 730000 Lanzhou, Gansu, China.
  • Zhu H; Department of Cardiology, Pulmonary Vascular Disease Center (PVDC), Gansu Provincial Hospital, 730000 Lanzhou, Gansu, China.
  • Wang A; Department of Cardiology, Pulmonary Vascular Disease Center (PVDC), Gansu Provincial Hospital, 730000 Lanzhou, Gansu, China.
  • Jiang K; Department of Cardiology, Pulmonary Vascular Disease Center (PVDC), Gansu Provincial Hospital, 730000 Lanzhou, Gansu, China.
  • Cao Y; Department of Cardiology, Pulmonary Vascular Disease Center (PVDC), Gansu Provincial Hospital, 730000 Lanzhou, Gansu, China.
Rev Cardiovasc Med ; 24(7): 204, 2023 Jul.
Article em En | MEDLINE | ID: mdl-39077017
ABSTRACT
Acute coronary syndrome (ACS) is a severe type of coronary heart disease (CHD) with increasing prevalence and significant challenges for prevention and treatment. Metabolomics is an emerging technology with intrinsic dynamics and flexibility to better delineate the phenotypic and metabolic alterations in organisms at the time of altered pathological states. It provides new insights into the complex pathological mechanisms of cardiovascular disease and contributes to the early detection, monitoring and evaluation of ACS. In this review, we analyze and summarize the literature related to ACS metabolomics which has contributed to the diagnosis and prevention of ACS.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article