Background: Trimethylamine N-oxide (TMAO) is a metabolite produced by gut microbiota, and its potential impact on lipid metabolism in mammals has garnered widespread attention in the scientific community. Bovine fatty liver disease, a metabolic disorder that severely affects the health and productivity of dairy cows, poses a significant economic burden on the global dairy industry. However, the specific role and pathogenesis of TMAO in bovine fatty liver disease remain unclear, limiting our understanding and treatment of the condition. This study aims to construct a bovine fatty liver cell model using an integrated approach that combines transcriptomic, proteomic, and metabolomic data. The objective is to investigate the impact of TMAO on lipid metabolism at the molecular level and explore its potential regulatory mechanisms.
Results: We established an in vitro bovine fatty liver cell model and conducted a comprehensive analysis of cells treated with TMAO using high-throughput omics sequencing technologies. Bioinformatics methods were employed to delve into the regulatory effects on lipid metabolism, and several key genes were validated through RT-qPCR. Treatment with TMAO significantly affected 4790 genes, 397 proteins, and 137 metabolites. KEGG enrichment analysis revealed that the significantly altered molecules were primarily involved in pathways related to the pathology of fatty liver disease, such as metabolic pathways, insulin resistance, hepatitis B, and the AMPK signaling pathway. Moreover, through joint analysis, we further uncovered that the interaction between TMAO-mediated AMPK signaling and oxidative phosphorylation pathways might be a key mechanism promoting lipid accumulation in the liver.
Conclusions: Our study provides new insights into the role of TMAO in the pathogenesis of bovine fatty liver disease and offers a scientific basis for developing more effective treatment strategies.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1186/s12864-024-11067-7 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Associations between multiple metabolic biomarkers with steatotic liver disease subcategories: A 5-year Chinese cohort study.
Cell Rep Med
January 2025
Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghhai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China. Electronic address:
The effectiveness of established biomarkers for non-alcoholic fatty liver disease (NAFLD) within the updated framework of steatotic liver disease (SLD) remains uncertain. This cohort study examines the association of four metabolic biomarkers-retinol-binding protein 4 (RBP-4), fibroblast growth factor 21 (FGF-21), adiponectin, and osteocalcin-with SLD and its subtypes: metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction with alcohol-related liver disease (MetALD)/alcohol-related liver disease (ALD). Among 3,504 Chinese participants aged 55-70, 938 (26.
View Article and Find Full Text PDFGender-specific effects of dydrogesterone on zebrafish liver metabolism after long-term exposure.
Aquat Toxicol
January 2025
SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China.
Synthetic progestin dydrogesterone is widely used in gynecology and animal husbandry, leading to high environmental detection rates and concentrations. Dydrogesterone influences sex differentiation, gonad development, and spawning in fish. However, its impact on the liver, a vital organ for hormone production and detoxification, remains largely unknown.
View Article and Find Full Text PDFMitochondrial dysfunction and lipid alterations in primary sclerosing cholangitis.
Scand J Gastroenterol
January 2025
Norwegian PSC Research Centre, Department of Transplantation Medicine, Division of Surgery, Inflammatory Diseases and Transplantation, Oslo University Hospital Rikshospitalet, Oslo, Norway.
Objectives: Indications of mitochondrial dysfunction are commonly seen in liver diseases, but data are scarce in primary sclerosing cholangitis (PSC). Analyzing circulating and liver-resident molecules indirectly reflecting mitochondrial dysfunction, we aimed to comprehensively characterize this deficit in PSC, and whether this was PSC specific or associated with cholestasis.
Materials And Methods: We retrospectively included plasma from 191 non-transplant patients with large-duct PSC and 100 healthy controls and explanted liver tissue extracts from 24 PSC patients and 18 non-cholestatic liver disease controls.
Reduced portal vein blood flow velocity in acute fatty liver of pregnancy.
Front Med (Lausanne)
December 2024
Department of Medical Ultrasound, Jinshan Hospital of Fudan University, Shanghai, China.
Purpose: Acute fatty liver of pregnancy (AFLP) is a severe complication that can occur in the third trimester or immediately postpartum, characterized by rapid hepatic failure. This study aims to explore the changes in portal vein blood flow velocity and liver function during pregnancy, which may assist in the early diagnosis and management of AFLP.
Methods: This longitudinal study was conducted at a tertiary healthcare center with participants recruited from routine antenatal check-ups.
Machine learning applications in healthcare clinical practice and research.
World J Clin Cases
January 2025
Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.
Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!