2021
DOI: 10.1016/j.jhep.2021.05.014
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Co-expression gene network analysis reveals novel regulatory pathways involved in porto-sinusoidal vascular disease

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Cited by 20 publications
(25 citation statements)
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“…Dysfunction in lipid metabolism may also play a role in PSVD etiology. Our transcriptomic analysis, showing that the top enriched DEGs are involved in lipid metabolism, is consistent with the reported results of a transcriptomic study of a human PSVD cohort 39. In addition, retinol metabolism is another enriched Kyoto Encyclopedia of Genes and Genomes pathway in our transcriptomic data.…”
Section: Discussionsupporting
confidence: 90%
“…Dysfunction in lipid metabolism may also play a role in PSVD etiology. Our transcriptomic analysis, showing that the top enriched DEGs are involved in lipid metabolism, is consistent with the reported results of a transcriptomic study of a human PSVD cohort 39. In addition, retinol metabolism is another enriched Kyoto Encyclopedia of Genes and Genomes pathway in our transcriptomic data.…”
Section: Discussionsupporting
confidence: 90%
“…Using a biological network approach (co-expression gene network analysis) to compare 20 PSVD cases, 20 age and sex-matched patients with cirrhosis and 13 healthy individuals, transcriptomics has recently demonstrated that PSVD is characterised by a deregulation of pathways involved in vascular homeostasis. 84 Specifically, the study identified genes of the Serpin family (SERPINC1), the apolipoproteins (APOA, APOB, APOC), ATP synthases (ATP5G1, ATP5B), fibrinogen genes (FGB, FGA) and alpha-2macroglobulin as differentially expressed in PSVD. These genes are involved in vascular haemostasis, coagulation, lipid metabolism and oxidative phosphorylation, and in other areas of medicine they have been associated with vascular remodelling,…”
Section: Transcriptomicsmentioning
confidence: 99%
“…GS was used to measure the association degree between genes and external information. The individual gene expression associations with BITC exposure were quantified by defining GS as the correlation between the gene expression and the trait . For each module, a quantitative measure of MM was also defined as the ME gene correlation and the gene expression profile.…”
Section: Methodsmentioning
confidence: 99%