| Autor: |
Huang J; Department of Geriatric Cardiology, General Hospital of Southern Theater Command; Guangzhou Key Laboratory of Cardiac Rehabilitation; Branch of National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital., Li P; Department of Geriatric Cardiology, General Hospital of Southern Theater Command; The First School of Clinical Medicine, Southern Medical University., Chi J; Department of Geriatric Cardiology, General Hospital of Southern Theater Command; The First School of Clinical Medicine, Southern Medical University., Hu J; Department of Geriatric Cardiology, General Hospital of Southern Theater Command., Cai H; Department of Geriatric Cardiology, General Hospital of Southern Theater Command., Wu N; Department of Geriatric Cardiology, General Hospital of Southern Theater Command., Li M; Department of Geriatric Cardiology, General Hospital of Southern Theater Command., Lin Z; Department of Geriatric Cardiology, General Hospital of Southern Theater Command., Ji Y; Department of Geriatric Cardiology, General Hospital of Southern Theater Command., Xu J; Department of Geriatric Cardiology, General Hospital of Southern Theater Command., Liu P; Zhujiang Hospital, Southern Medical University, Cardiovascular Department/The Second School of Clinical Medicine, Southern Medical University; 65473751@qq.com., Jagatheesaperumal SK; Department of Electronics & Communication Engineering, Mepco Schlenk Engineering College., de Albuquerque VHC; Department of Teleinformatics Engineering, Federal University of Ceará., Xu L; Department of Geriatric Cardiology, General Hospital of Southern Theater Command; Guangzhou Key Laboratory of Cardiac Rehabilitation; Branch of National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital; The First School of Clinical Medicine, Southern Medical University; xxgnk_xlin@126.com. |
| Abstrakt: |
Non-alcoholic fatty liver disease (NAFLD) and myocardial infarction (MI) are two major health burdens with significant prevalence and mortality. This study aimed to explore the co-expressed genes to understand the relationship between NAFLD and MI and identify potential crucial biomarkers of NAFLD-related MI using bioinformatics and machine learning. Functional enrichment analysis was conducted, a co-protein-protein interaction (PPI) network diagram was constructed, and support vector machine-recursive feature elimination (SVM-RFE) and least absolute shrinkage and selection operator (LASSO) techniques were employed to identify one differentially expressed gene (DEG), Thrombospondin 1 (THBS1). THBS1 demonstrated strong performance in distinguishing NAFLD patients (AUC = 0.981) and MI patients (AUC = 0.900). Immuno-infiltration analysis revealed significantly lower CD8+ T cells and higher neutrophil levels in patients with NAFLD and MI. CD8+ T cells and neutrophils were effective in distinguishing NAFLD/MI from healthy controls. Correlation analysis showed that THBS1 was positively correlated with CCR (chemokine receptor), MHC class (major histocompatibility complex class), neutrophils, parainflammation, and Tfh (follicular helper T cells), and negatively correlated with CD8+ T cells, cytolytic activity, and TIL (tumor-infiltrating lymphocytes) in NAFLD and MI patients. THBS1 emerged as a novel biomarker for diagnosing NAFLD/MI in comparison to healthy controls. The results indicate that CD8+ T cells and neutrophils could serve as inflammatory immune features for differentiating patients with NAFLD/MI from healthy individuals. |
