Takanori Ito

Abstract: Hepatocellular carcinoma (HCC) continues to be a serious medical problem with poor prognosis worldwide. The distribution of the major etiologies of HCC is changing due to the progress of anti-viral treatments, including hepatitis B virus (HBV) suppression by nucleoside/nucleotide analogues (NAs) and increased sustained virologic response (SVR) rates by direct-acting antivirals (DAAs) for hepatitis C virus (HCV), as well as the rising trend of nonviral liver disease. Although viral hepa

Effective treatments for acute liver failure (ALF) are still lacking. We recently reported that a single intravenous administration of serum-free conditioned medium from stem cells derived from human exfoliated deciduous teeth (SHED-CM) into the D-galactosamine (D-Gal)-induced rat ALF model improves the liver injury. However, the specific factors in SHED-CM that are responsible for resolving ALF remain unclear. Here we found that depleting SHED-CM of two anti-inflammatory M2 macrophage inducers-

Severe liver fibrosis was associated not only with the hepatocarcinogenesis and LC-related complications but also with extrahepatic malignancies. The FIB-4 index was useful for predicting liver-related diseases but had limitations in predicting extrahepatic malignancies.

The progression of liver fibrosis, but not inflammation, is associated with lower serum Zn levels in biopsy-proven NAFLD patients. Serum Zn levels were correlated with nutrition markers and insulin resistance.

The albumin-bilirubin (ALBI) score is calculated using only serum albumin and bilirubin levels, and was developed as a simple method to assess hepatic function. In this study, a total of 409 patients with primary biliary cholangitis (PBC) were enrolled between March 1990 and October 2018. The predictive performances of the ALBI score and other well-established prognostic scores were compared using time-dependent receiver operating characteristic (ROC) analysis. During the follow-up period, 60 pa

This study confirmed that high-resolution MR images obtained at 1.5 Tesla can visualize inner ear internal anatomy. Knowledge obtained in this study may be of significant value for the diagnosis of pathology in the area of the inner ear.