Restoration of CD4+ T helper cells without modulating the hepatic inflammatory pattern is not sufficient to prevent HCC

Abstract Recent studies suggest that progression of nonalcoholic fatty liver disease (NAFLD) to hepatocellular carcinoma (HCC) is associated with a decreased frequency of the hepatic CD4+ T cells, as well as a predominance of the inflammatory immunological pattern. To determine whether the inhibition of chronic inflammation could prevent the progression of NAFLD to HCC, we used a novel LRP-1 agonistic peptide, SP16, during a progressive NAFLD in an animal model of NAFLD, i.e., DIAMOND mice. Tumor progression, circulating inflammatory cytokines as well as the hepatic immune cells were analyzed using 44-plex cytokine array and multi-color flow cytometry. Although SP16 restored the hepatic CD4+ T cells and slightly increased Th2 subset, it failed to modulate the CD4+ Th1 dominant pattern in the liver or prevent HCC. These data suggest that the hepatic immune pattern, which could produce a collective function independent from its cellular components, is more important than CD4+ T cell recovery during disease progression. Our data also suggest that administration of SP16 very early during NAFLD could shift a predominant Th1 pattern towards an equilibrium Th1=Th2=Th17 pattern which has been found to protect DIAMOND mice from from the progression of NAFLD to HCC. Future studies will determine if modulation of the inflammatory immune response by SP16 when administered early during NAFLD progression will prevent HCC. This work was supported by the Office of the Assistant Secretary of Defense for Health Affairs through the Breast Cancer Research Program under Award No. W81XWH2210793, Massey Cancer Center Multi-Investigator Award, grant number 2017-MIP-02, NIH R01DK105961, and VA Merit Award 1I01BX003275. Opinions, interpretations, conclusions, and recommendations are those of the authors and are not necessarily endorsed by the U.S. Department of Defense. Services and products in support of the research project were generated by the Virginia Commonwealth University Flow Cytometry Shared Resource, supported, in part, with funding from NIH-NCI Cancer Center Support Grant P30 CA016059.