Browsing by Subject "Aspartate aminotransferases"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    A computational model of liver tissue damage and repair
    (Public Library of Science, 2020-12-21) Adhyapok, Priyom; Fu, Xiao; Sluka, James P.; Clendenon, Sherry G.; Sluka, Victoria D.; Wang, Zemin; Dunn, Kenneth; Klaunig, James E.; Glazier, James A.; Medicine, School of Medicine
    Drug induced liver injury (DILI) and cell death can result from oxidative stress in hepatocytes. An initial pattern of centrilobular damage in the APAP model of DILI is amplified by communication from stressed cells and immune system activation. While hepatocyte proliferation counters cell loss, high doses are still lethal to the tissue. To understand the progression of disease from the initial damage to tissue recovery or death, we computationally model the competing biological processes of hepatocyte proliferation, necrosis and injury propagation. We parametrize timescales of proliferation (α), conversion of healthy to stressed cells (β) and further sensitization of stressed cells towards necrotic pathways (γ) and model them on a Cellular Automaton (CA) based grid of lattice sites. 1D simulations show that a small α/β (fast proliferation), combined with a large γ/β (slow death) have the lowest probabilities of tissue survival. At large α/β, tissue fate can be described by a critical γ/β* ratio alone; this value is dependent on the initial amount of damage and proportional to the tissue size N. Additionally, the 1D model predicts a minimum healthy population size below which damage is irreversible. Finally, we compare 1D and 2D phase spaces and discuss outcomes of bistability where either survival or death is possible, and of coexistence where simulated tissue never completely recovers or dies but persists as a mixture of healthy, stressed and necrotic cells. In conclusion, our model sheds light on the evolution of tissue damage or recovery and predicts potential for divergent fates given different rates of proliferation, necrosis, and injury propagation.
  • Thumbnail Image
    Item
    Hepatic Histopathology Among Excessive Drinkers Without Advanced Liver Disease
    (Oxford University Press, 2021) Chang, Binxia; Huang, Ang; Saxena, Romil; Sun, Yin; Liu, Shuhong; Zhou, Guangde; Li, Baosen; Teng, Guangju; Zhao, Jun; Zhang, Wei; Jiang, Yanchao; Han, Sen; Yang, Zhihong; Zhao, Jingmin; Zou, Zhengsheng; Liangpunsakul, Suthat; Pathology and Laboratory Medicine, School of Medicine
    Aims: Alcohol-associated liver disease represents a spectrum of histopathological changes from steatosis to advanced fibrosis and cirrhosis. The major goals of this retrospective study were to characterize the histologic features in patients with excessive alcohol use who presented with an abnormal hepatic panel and/or abnormal radiographic imaging and did not meet the clinical diagnosis of alcoholic hepatitis or cirrhosis. Methods: We performed a retrospective study to describe hepatic histology of 62 and 83 excessive drinkers with normal and abnormal serum aspartate transaminase, respectively. The types of inflammatory cells in the liver were characterized by immunohistochemistry for CD4, CD8, CD20, CD68 and myeloperoxidase. Results: Among 62 patients with aspartate aminotransferase (AST) ≤ 50 U/L, 37% had histological evidence of steatosis. Of these, we found evidence of hepatocyte ballooning (21%), lobular inflammation (50%), portal inflammation (52%) and fibrosis (14%). For those with AST > 50 U/L, the presence of hepatic steatosis, lobular inflammation and portal inflammation was observed in 29, 60 and 69% of patients, respectively. Fibrosis was found in 33%, four with bridging fibrosis, and one with cirrhosis. We observed the aggregation of CD68+ macrophages, rather than normally distributed with minimal neutrophilic infiltration. Lobular and portal lymphocytic infiltrations are primarily CD8+ T cells. Conclusion: Abnormal hepatic histopathology occurs in excessive drinkers with normal transaminase activity. Future studies to determine the diagnostic modalities to detect such abnormalities and to better understand its clinical implications and long-term outcome are needed.