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Identification of molecular markers for predicting the severity of heart failure after AMI: An Olink precision proteomic study.
Zhang, Tianxing; Han, Xuexue; Zhang, Hao; Li, Xue; Zhou, Xingzhu; Feng, Shuhui; Guo, Chenglong; Song, Fei; Tao, Tianqi; Yin, Chunlin; Xia, Jinggang.
Afiliación
  • Zhang T; Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Han X; Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Zhang H; Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Li X; Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Zhou X; Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Feng S; Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Guo C; Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Song F; Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Tao T; Department of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
  • Yin C; Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Xia J; Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China. Electronic address: xiajinggang@sina.cn.
Clin Chim Acta ; 555: 117825, 2024 Mar 01.
Article en En | MEDLINE | ID: mdl-38331209
ABSTRACT

BACKGROUND:

Acute myocardial infarction (AMI) still has a high incidence of varying degrees of heart failure (HF). The aim of this study is to identify new molecular markers for predicting the severity of HF after AMI.

METHODS:

We analyzed demographic indicators, past medical history, clinical indicators, major adverse cardiac events (MACEs) and molecular markers in patients with different Killip classifications after AMI. Olink proteomics was used to explore new molecular markers for predicting different severity of HF after AMI.

RESULTS:

Neutrophil count was the independent risk factors for in-hospital MACEs. Nineteen differentially expressed proteins (DEPs) increased significantly with increasing Killip classification. Five DEPs were also found to have an AUC (95 % CI) value greater than 0.8 GDF-15, NT-pro BNP, TNF-R2, TNF-R1 and TFF3.

CONCLUSIONS:

Neutrophil count, GDF-15, TNF-R2, TNF-R1 and TFF3 were closely related to the Killip classification of HF after AMI, which suggests that the inflammatory response plays an important role in the severity of HF after AMI and that regulating inflammation might become a new target for controlling HF.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Insuficiencia Cardíaca / Infarto del Miocardio Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Clin Chim Acta Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Insuficiencia Cardíaca / Infarto del Miocardio Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Clin Chim Acta Año: 2024 Tipo del documento: Article País de afiliación: China