Plasma and hepatic free fatty acid, tricarboxylic acid cycle, and ketone bodies metabolic profiles in progressive Gao-Binge model
10.11665/j.issn.1000-5048.2024030502
- VernacularTitle:不同阶段 Gao-Binge 模型中游离脂肪酸、三羧酸循环及酮体代谢谱研究
- Author:
Anqin LI
1
,
2
;
Luxin PANG
;
Yuanyuan CHAI
;
Qinwei YU
;
Zhenzhou JIANG
;
Luyong WANG
Author Information
1. 中国药科大学多靶标天然药物全国重点实验室新药筛选中心与药效评价中心, 江苏省药效研究与评价服务中心, 南京210009
2. 广东药科大学新药研发中心, 广州510006
- Publication Type:Journal Article
- Keywords:
alcoholic fatty liver;
fatty acids;
tricarboxylic acid cycle;
animal models;
Gao-Binge model;
correlation analysis;
correlation analysis;
Gao-Binge model
- From:
Journal of China Pharmaceutical University
2025;56(2):196-206
- CountryChina
- Language:Chinese
-
Abstract:
To investigate the correlation between hepatic lipid accumulation and the metabolic profiles of free fatty acids(FFAs), tricarboxylic acid (TCA) cycle, and ketone body in alcoholic fatty liver disease (AFLD), a chronic plus acute alcohol feeding model (Gao-Binge model) was employed using C57BL/6N mice to simulate different stages of AFLD. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was employed to measure the levels of FFAs, TCA cycle intermediates, and ketone bodies in mouse liver tissue and plasma, followed by Pearson correlation analysis. The study revealed that both acute and chronic models showed significant increases in total FFAs, saturated FFAs and short-chain FFAs, as well as β-hydroxybutyric acid(HDBT) in plasma and liver, indicating FFA metabolic profile disturbances in the Gao-Binge model. Moreover, in both models, acetic acid (AA), 2-Methylbutyric acid (2-meBA), and HDBT displayed strong positive correlations with hepatic injury markers in plasma and liver samples (for instance, in the acute model plasma data, r = 0.834, 0.699, 0.818, P<0.05), while pyruvic acid (PRA) showed a strong negative correlation (r = −0.66, P<0.05). These findings suggest that FFAs, TCA cycle, and ketone body metabolism are disrupted in the alcoholic liver disease in mice model, and metabolites such as AA, 2-meBA, HDBT and PRA may serve as potential biomarkers for AFLD, which would be helpful in the diagnosis and treatment of this disease.