Gallbladder wall abnormality in biliary atresia of mouse neonates and human infants.

Clicks: 227
ID: 91469
2020
Biliary atresia (BA) is characterized by the inflammation and obstruction of the extrahepatic bile ducts (EHBDs) in newborn infants. SOX17 is a master regulator of the fetal EHBDs formation. In mouse BA models, SOX17 reduction causes cell-autonomous epithelial shedding together with the ectopic appearance of SOX9-positive cystic duct-like epithelia in the gallbladder walls, resulting in the BA-like symptoms during the perinatal period. However, the similarities with the human BA gallbladders are still unclear. In the present study, we conducted the phenotypic analysis with the BA neonate mice, in order to compare with the gallbladder wall phenotype of human BA infants. The most characteristic phenotype of the BA gallbladders is the ectopic appearance of SOX9-positive peribiliary glands (PBGs), so-called pseudopyloric glands (PPGs). Next we examined SOX17/SOX9 expression profiles of human gallbladders in thirteen BA infants. Among them, five BA cases showed a loss or drastic reduction of SOX17-positive signals throughout the whole region of gallbladder epithelia (SOX17-low group). Even in the remaining eight gallbladders (SOX17-high group), the epithelial cells near the decidual sites were frequently reduced in the SOX17-positive signal intensity. Most interestingly, the most characteristic phenotype of human BA gallbladders is the increased density of PBG/PPG-like glands in the gallbladder body, especially near the epithelial decidual site, indicating the PBG/PPG formation as a common phenotype between human BA and mouse BA gallbladders. These findings provide the first evidence of the potential contribution of SOX17 reduction and PBG/PPG formation to the early pathogenesis in human BA gallbladders.
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Authors Uemura, Mami;Higashi, Mayumi;Pattarapanawan, Montri;Takami, Shohei;Ichikawa, Naoki;Higashiyama, Hiroki;Furukawa, Taizo;Fujishiro, Jun;Fukumura, Yuki;Yao, Takashi;Tajiri, Tatsuro;Kanai-Azuma, Masami;Kanai, Yoshiakira;
Journal Disease models & mechanisms
Year 2020
DOI dmm.042119
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