info:eu-repo/semantics/article
Tackling the complexity of nonalcoholic steatohepatitis treatment: challenges and opportunities based on systems biology and machine learning approaches
Fecha
2018-12Registro en:
Pirola, Carlos José; Sookoian, Silvia Cristina; Tackling the complexity of nonalcoholic steatohepatitis treatment: challenges and opportunities based on systems biology and machine learning approaches; AME Publishing Company; HepatoBiliary Surgery and Nutrition; 7; 6; 12-2018; 495-498
2304-389X
CONICET Digital
CONICET
Autor
Pirola, Carlos José
Sookoian, Silvia Cristina
Resumen
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), NASHfibrosis, 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.