Mercedes Del Río-Moreno1,2,3,4, Emilia Alors-Pérez1,2,3,4, Sandra González-Rubio1,3,5, Gustavo Ferrín1,3,5, Oscar Reyes1,6, Manuel Rodríguez-Perálvarez1,3,5, Marina E Sánchez-Frías1,3,7, Rafael Sánchez-Sánchez1,3,7, Sebastián Ventura1,6,8, José López-Miranda1,3,4,9, Rhonda D Kineman10,11, Manuel de la Mata1,3,5, Justo P Castaño1,2,3,4, Manuel D Gahete1,2,3,4, Raúl M Luque1,2,3,4. 1. Maimonides Institute for Biomedical Research of Córdoba, Córdoba, Spain. 2. Department of Cell Biology, Physiology and Immunology, University of Córdoba, Córdoba, Spain. 3. Reina Sofia University Hospital, Córdoba, Spain. 4. Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Córdoba, Spain. 5. Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas, Córdoba, Spain. 6. Department of Computer Sciences, University of Córdoba, Córdoba, Spain. 7. Anatomical Pathology Service, Reina Sofia University Hospital, Córdoba, Spain. 8. Department of Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia Kingdom. 9. Lipids and Atherosclerosis Unit, Reina Sofia University Hospital, Córdoba, Spain. 10. Research and Development Division, Jesse Brown Veterans Affairs Medical Center, Chicago, Illinois. 11. Section of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Abstract
CONTEXT: Nonalcoholic fatty liver disease (NAFLD) is a common obesity-associated pathology characterized by hepatic fat accumulation, which can progress to fibrosis, cirrhosis, and hepatocellular carcinoma. Obesity is associated with profound changes in gene-expression patterns of the liver, which could contribute to the onset of comorbidities. OBJECTIVE: As these alterations might be linked to a dysregulation of the splicing process, we aimed to determine whether the dysregulation in the expression of splicing machinery components could be associated with NAFLD. PARTICIPANTS: We collected 41 liver biopsies from nonalcoholic individuals with obesity, with or without hepatic steatosis, who underwent bariatric surgery. INTERVENTIONS: The expression pattern of splicing machinery components was determined using a microfluidic quantitative PCR-based array. An in vitro approximation to determine lipid accumulation using HepG2 cells was also implemented. RESULTS: The liver of patients with obesity and steatosis exhibited a severe dysregulation of certain splicing machinery components compared with patients with obesity without steatosis. Nonsupervised clustering analysis allowed the identification of three molecular phenotypes of NAFLD with a unique fingerprint of alterations in splicing machinery components, which also presented distinctive hepatic and clinical-metabolic alterations and a differential response to bariatric surgery after 1 year. In addition, in vitro silencing of certain splicing machinery components (i.e., PTBP1, RBM45, SND1) reduced fat accumulation and modulated the expression of key de novo lipogenesis enzymes, whereas conversely, fat accumulation did not alter spliceosome components expression. CONCLUSION: There is a close relationship between splicing machinery dysregulation and NAFLD development, which should be further investigated to identify alternative therapeutic targets.
CONTEXT: Nonalcoholic fatty liver disease (NAFLD) is a common obesity-associated pathology characterized by hepatic fat accumulation, which can progress to fibrosis, cirrhosis, and hepatocellular carcinoma. Obesity is associated with profound changes in gene-expression patterns of the liver, which could contribute to the onset of comorbidities. OBJECTIVE: As these alterations might be linked to a dysregulation of the splicing process, we aimed to determine whether the dysregulation in the expression of splicing machinery components could be associated with NAFLD. PARTICIPANTS: We collected 41 liver biopsies from nonalcoholic individuals with obesity, with or without hepatic steatosis, who underwent bariatric surgery. INTERVENTIONS: The expression pattern of splicing machinery components was determined using a microfluidic quantitative PCR-based array. An in vitro approximation to determine lipid accumulation using HepG2 cells was also implemented. RESULTS: The liver of patients with obesity and steatosis exhibited a severe dysregulation of certain splicing machinery components compared with patients with obesity without steatosis. Nonsupervised clustering analysis allowed the identification of three molecular phenotypes of NAFLD with a unique fingerprint of alterations in splicing machinery components, which also presented distinctive hepatic and clinical-metabolic alterations and a differential response to bariatric surgery after 1 year. In addition, in vitro silencing of certain splicing machinery components (i.e., PTBP1, RBM45, SND1) reduced fat accumulation and modulated the expression of key de novo lipogenesis enzymes, whereas conversely, fat accumulation did not alter spliceosome components expression. CONCLUSION: There is a close relationship between splicing machinery dysregulation and NAFLD development, which should be further investigated to identify alternative therapeutic targets.
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