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J Pediatr Surg ; 58(6): 1170-1177, 2023 Jun.
Article in English | MEDLINE | ID: mdl-36922278

ABSTRACT

BACKGROUND: Resection-associated liver steatosis, injury, and fibrosis is a devastating complication associated with massive small bowel resection (SBR). Peroxisome proliferator-activated receptor-alpha (PPARα) is a key regulator of intestinal lipid transport and metabolism whose expression is selectively increased after SBR. Here we asked if attenuating intestinal PPARα signaling would prevent steatosis and liver injury after SBR. METHODS: Pparα was deleted selectively in adult mouse intestine using a tamoxifen-inducible Cre-LoxP breeding schema. Mice underwent 50% SBR. At 10 weeks post-operatively, metabolic phenotyping, body composition analysis, in vivo assessment of lipid absorption and intestinal permeability, and assessment of adaptation and liver injury was completed. RESULTS: Pparα intestinal knockout and littermate control mice were phenotypically similar in terms of weight trends and body composition after SBR. All mice demonstrated intestinal adaptation with increased villus height and crypt depth; however, Pparα intestinal knockout mice exhibited decreased villus growth at 10 weeks compared to littermate controls. Liver injury and fibrosis were similar between groups as assessed by serum AST and ALT levels, Sirius Red staining, and hepatic expression of Col1a1 and Acta2. CONCLUSIONS: Inducible intestinal deletion of Pparα influences structural adaptation but does not mitigate liver injury after SBR. These findings suggest that enterocyte PPARα signaling in adult mice is dispensable for resection-induced liver injury. The results are critical for understanding the contribution of intestinal lipid metabolic signaling pathways to the pathogenesis of hepatic injury associated with short bowel syndrome.


Subject(s)
Intestine, Small , PPAR alpha , Animals , Mice , Adaptation, Physiological , Intestine, Small/surgery , Lipids , Mice, Inbred C57BL , Mice, Knockout , PPAR alpha/genetics , PPAR alpha/metabolism
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