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Effect of inflammatory factors on myocardial infarction.
Zeng, Qingyi; Xu, Tao; Luo, Zhenghua; Zhou, Haiyan; Duan, Zonggang; Xiong, Xinlin; Huang, Mengjun; Li, Wei.
Affiliation
  • Zeng Q; Affiliated Hospital of Guizhou Medical University, 16 Beijing Road Guiyang, Guiyang, 550000, Guizhou, China.
  • Xu T; The Second Affiliated Hospital of Guizhou, University of Chinese Medicine, 83 Feishan Street, Guiyang, 55000, Guizhou, China.
  • Luo Z; The Second Affiliated Hospital of Guizhou, University of Chinese Medicine, 83 Feishan Street, Guiyang, 55000, Guizhou, China.
  • Zhou H; Guizhou Provincial People's Hospital, 83 Zhongshan East Road, Guiyang, 55000, Guizhou, China.
  • Duan Z; Affiliated Hospital of Guizhou Medical University, 16 Beijing Road Guiyang, Guiyang, 550000, Guizhou, China.
  • Xiong X; Affiliated Hospital of Guizhou Medical University, 16 Beijing Road Guiyang, Guiyang, 550000, Guizhou, China.
  • Huang M; Affiliated Hospital of Guizhou Medical University, 16 Beijing Road Guiyang, Guiyang, 550000, Guizhou, China.
  • Li W; Affiliated Hospital of Guizhou Medical University, 16 Beijing Road Guiyang, Guiyang, 550000, Guizhou, China.
BMC Cardiovasc Disord ; 24(1): 538, 2024 Oct 07.
Article in En | MEDLINE | ID: mdl-39375629
ABSTRACT

BACKGROUND:

Cohort studies have increasingly shown associations between inflammatory markers and myocardial infarction (MI); however, the specific causal relationships between inflammatory markers and the development of MI remain unclear. METHODS AND

RESULTS:

By utilizing publicly accessible genome-wide association studies, we performed a two-sample Mendelian randomization (MR) analysis to explore the causal associations between inflammatory markers and myocardial infarction (MI). A random-effects inverse-variance weighted method was used to calculate effect estimates. The study included a total of 395,795 European participants for MI analysis and various sample sizes for inflammatory factors, ranging from 3,301 to 563,946 participants.Neutrophil count was found to increase the risk of MI (odds ratio [OR] = 1.08; 95% confidence interval [CI], 1.00-1.17; p = 0.04). C-reactive protein levels correlated positively with MI. No associations were observed with IL-1 beta, IL-6, IL-18, procalcitonin, TNF-α, total white cell count, or neutrophil percentage of white cells. Neutrophil count and C-reactive protein were inversely associated with lactate dehydrogenase neutrophil cell count (OR 0.95; 95% CI, 0.93-0.98; p < 0.01) and C-reactive protein (OR 0.96; 95% CI, 0.92-1.00; p = 0.02). No associations of MI with myoglobin, troponin I, and creatine kinase-MB levels were found.

CONCLUSIONS:

This two-sample MR analysis revealed a causal positive association of MI with neutrophil count, C-reactive protein level, and the myocardial injury marker lactate dehydrogenase. These results indicate that monitoring C-reactive protein and neutrophil counts may be useful in management of MI patients.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: C-Reactive Protein / Biomarkers / Inflammation Mediators / Genome-Wide Association Study / Mendelian Randomization Analysis / Myocardial Infarction / Neutrophils Limits: Humans Language: En Journal: BMC Cardiovasc Disord / BMC cardiovasc. disord. (Online) / BMC cardiovascular disorders (Online) Journal subject: ANGIOLOGIA / CARDIOLOGIA Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: C-Reactive Protein / Biomarkers / Inflammation Mediators / Genome-Wide Association Study / Mendelian Randomization Analysis / Myocardial Infarction / Neutrophils Limits: Humans Language: En Journal: BMC Cardiovasc Disord / BMC cardiovasc. disord. (Online) / BMC cardiovascular disorders (Online) Journal subject: ANGIOLOGIA / CARDIOLOGIA Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom