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Hepatic Unsaturated Fatty Acids Are Linked to Lower Degree of Fibrosis in Non-alcoholic Fatty Liver Disease.

ABSTRACT: Background: The hepatic lipidome of patients with early stages of non-alcoholic fatty liver disease (NAFLD) has been fairly well-explored. However, studies on more progressive forms of NAFLD, i.e., liver fibrosis, are limited. Materials and methods: Liver fatty acids were determined in cholesteryl esters (CE), phospholipids (PL), and triacylglycerols (TAG) by gas chromatography. Cross-sectional associations between fatty acids and biopsy-proven NAFLD fibrosis (n = 60) were assessed using multivariable logistic regression models. Stages of fibrosis were dichotomized into none-mild (F0-1) or significant fibrosis (F2-4). Models were adjusted for body-mass index (BMI), age and patatin-like phospholipase domain-containing protein 3 (PNPLA3 rs738409) (I148M) genotype. A secondary analysis examined whether associations from the primary analysis could be confirmed in the corresponding plasma lipid fractions. Results: PL behenic acid (22:0) was directly associated [OR (95% CI): 1.86 (1.00, 3.45)] whereas PL docosahexaenoic acid (22:6n-3) [OR (95% CI): 0.45 (0.23, 0.89)], TAG oleic acid (18:1n-9) [OR (95% CI): 0.52 (0.28, 0.95)] and 18:1n-9 and vaccenic acid (18:1n-7) (18:1) [OR (95% CI): 0.52 (0.28, 0.96)] were inversely associated with liver fibrosis. In plasma, TAG 18:1n-9 [OR (95% CI): 0.55 (0.31, 0.99)], TAG 18:1 [OR (95% CI): 0.54 (0.30, 0.97)] and PL 22:0 [OR (95% CI): 0.46 (0.25, 0.86)] were inversely associated with liver fibrosis. Conclusion: Higher TAG 18:1n-9 levels were linked to lower fibrosis in both liver and plasma, possibly reflecting an altered fatty acid metabolism. Whether PL 22:6n-3 has a protective role, together with a potentially adverse effect of hepatic 22:0, on liver fibrosis warrants large-scale studies.

SUBMITTER: Friden M

PROVIDER: S-EPMC8784562 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundHepatic fibrosis is a widespread disease worldwide. Millions of people lose their lives due to hepatic fibrosis every year. The main causes of hepatic fibrosis include viral infection, alcoholism, and obesity. Many studies have been conducted on the single factors that cause hepatic fibrosis; however, no studies have examined whether hepatic fibrosis caused by multiple factors has concomitant expression molecules and signaling pathways. In this study, we sought to analyze the common differentially expressed messenger ribonucleic acids (mRNAs) of hepatic fibrosis caused by different factors, including hepatitis B virus (HBV) hepatic fibrosis, alcoholic hepatic fibrosis, and non-alcoholic hepatic fibrosis, and identify potential preventive and therapeutic targets.MethodsThe GSE171294, GSE142530, and GSE126848 datasets from the Gene Expression Omnibus (GEO) public database were used in this study. A |log fold change| >0.5 and a P value <0.05 were defined as differentially expressed mRNAs via R software screening. To further screen the target mRNAs, the differential mRNAs were subjected to a functional enrichment analysis based on the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Finally, the relationships between differentially expressed mRNA-encoded proteins were analyzed by a protein-protein interaction (PPI) analysis.ResultsA total of 54 differentially expressed mRNAs were identified. The KEGG analysis showed that the functions of different mRNAs mainly focused on Gonadotropin Releasing Hormone (GnRH) secretion, bile secretion and insulin secretion. The GO enrichment analysis showed that the differential mRNAs were mainly present in the cytoplasmic membrane region and exerted biological functions, such as activating channels and binding proteins by regulating biological processes (BPs), such as cells, cytoskeleton and heparin. The PPI network analysis revealed 16 nodes with 12 pairs of interactions. The 16 critical nodes included BCL6, CD4, CD24, IL32, CALD1, TRAF3, SOX9, KANSL3, MRGBP, PKD2, PKHD1, SYT1, ANXA4, KCNMA1, KCNN2, and CACNA1H.ConclusionsKCNN2, CD4, CD24, BCL6, KCNMA1, and other molecules obtained by the bioinformatics analysis of the RNA-sequencing data can be used as new research targets for hepatic fibrosis induced by different causes. Our findings could provide novel ideas for the treatment of hepatic fibrosis.

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Hepatic Unsaturated Fatty Acids Are Linked to Lower Degree of Fibrosis in Non-alcoholic Fatty Liver Disease.

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