Publications by authors named "Herui Wei"

Article Synopsis
  • * Findings showed that higher genetically predicted BMI and WHRadjBMI were linked to non-alcoholic fatty liver disease, liver fibrosis, and autoimmune hepatitis, but not to other liver conditions like primary biliary cholangitis or liver cancer.
  • * The research suggested that obesity has distinct causal effects on certain liver diseases and metabolic functions, particularly non-alcoholic fatty liver disease and liver fibrosis, but not on viral or autoimmune liver diseases.
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The present study was designed to explore the function of FAM172A in liver regeneration and HCC. Mice were sacrificed after 70% partial hepatectomy (PH). RNA sequencing was performed on primary hepatocytes of WT and FAM172A mice.

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To develop a signature based on anoikis-related genes (ARGs) for predicting the prognosis of patients with hepatocellular carcinoma (HCC), and to elucidate the molecular mechanisms involved. In this study, bioinformatic algorithms were applied to integrate and analyze 777 HCC RNA-seq samples from the cancer genome atlas and international cancer genome consortium repositories. A prognostic signature was developed via the least absolute shrinkage and selection operator-cox regression method.

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Background And Aims: Collagen β(1-O) galactosyltransferase 25 domain 1 (GLT25D1) is associated with collagen production and glycosylation, and its knockout in mice results in embryonic death. However, its role in liver fibrosis remains elusive, particularly in hepatic stellate cells (HSCs), the primary collagen-producing cells associated with liver fibrogenesis. Herein, we aimed to elucidate the role of GLT25D1 in HSCs.

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Background: A preliminary study by our group revealed that the deficiency of EGF domain-specific O-linked N-acetylglucosamine transferase (EOGT) impaired regulatory T-cell differentiation in autoimmune hepatitis. Nevertheless, the prognostic value of EOGT in advanced hepatocellular carcinoma (HCC) and its relationship with immune infiltration remain obscured.

Methods: Initially, EOGT expression was evaluated by Oncomine, TIMER, GEO, and UALCAN databases.

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