Article Abstract

Tackling the complexity of nonalcoholic steatohepatitis treatment: challenges and opportunities based on systems biology and machine learning approaches

Authors: Carlos J. Pirola, Silvia Sookoian

Abstract

Nonalcoholic fatty liver disease (NAFLD) is regarded as the most frequent cause of chronic liver damage (1,2). The natural history of the disease presents a complex scenario of potential progression into severe clinical outcomes, including nonalcoholic steatohepatitis (NASH), NASH-fibrosis, cirrhosis, and hepatocellular carcinoma (1,2). In addition, NAFLD is closely associated with comorbidities of the metabolic syndrome (MetS), including type 2 diabetes, obesity, arterial hypertension, and dyslipidemia, which together aggravate the morbidity and mortality associated with the disease.

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