Role of Oxidative Stress and Lipid Peroxidation in the Pathophysiology of NAFLD

Non-alcoholic fatty liver disease (NAFLD) is characterised by an excess of hepatic fat that can progress to steatohepatitis, fibrosis, cirrhosis and hepatocarcinoma. The imbalance between lipid uptake/lipogenesis and lipid oxidation/secretion in the liver is a major feature of NAFLD. Given the lack...

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Detalles Bibliográficos
Autores: Martín Fernández, Marta, Arroyo, Víctor, Carnicero, Carmen, Sigüenza, Rebeca, Busta, Reyes, Mora, Natalia, Antolín, Beatriz, Tamayo, Eduardo, Aspichueta Celaá, Patricia, Carnicero Frutos, Irene, Gonzalo Benito, Hugo, Aller de la Fuente, Rocio
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/58468
Acceso en línea:http://hdl.handle.net/10810/58468
Access Level:acceso abierto
Palabra clave:steatosis
oxidative stress
biomarkers
lipid peroxidation
NAFLD
Descripción
Sumario:Non-alcoholic fatty liver disease (NAFLD) is characterised by an excess of hepatic fat that can progress to steatohepatitis, fibrosis, cirrhosis and hepatocarcinoma. The imbalance between lipid uptake/lipogenesis and lipid oxidation/secretion in the liver is a major feature of NAFLD. Given the lack of a non-invasive and reliable methods for the diagnosis of non-alcoholic steatohepatitis (NASH), it is important to find serum markers that are capable of discriminating or defining patients with this stage of NASH. Blood samples were obtained from 152 Caucasian subjects with biopsy-proven NAFLD due to persistently elevated liver enzyme levels. Metabolites representative of oxidative stress were assessed. The findings derived from this work revealed that NAFLD patients with a NASH score of ≥ 4 showed significantly higher levels of lipid peroxidation (LPO). Indeed, LPO levels above the optimal operating point (OOP) of 315.39 μM are an independent risk factor for presenting a NASH score of ≥ 4 (OR: 4.71; 95% CI: 1.68–13.19; p = 0.003). The area under the curve (AUC = 0.81, 95% CI = 0.73–0.89, p < 0.001) shows a good discrimination ability of the model. Therefore, understanding the molecular mechanisms underlying the basal inflammation present in these patients is postulated as a possible source of biomarkers and therapeutic targets in NASH.