Literature DB >> 30901032

Dysregulation of the Splicing Machinery Is Associated to the Development of Nonalcoholic Fatty Liver Disease.

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.   

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.
Copyright © 2019 Endocrine Society.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 30901032      PMCID: PMC6590982          DOI: 10.1210/jc.2019-00021

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  55 in total

1.  Alternatively spliced lipin isoforms exhibit distinct expression pattern, subcellular localization, and role in adipogenesis.

Authors:  Miklós Péterfy; Jack Phan; Karen Reue
Journal:  J Biol Chem       Date:  2005-07-27       Impact factor: 5.157

2.  Regulation of alternative splicing of liver scavenger receptor class B gene by estrogen and the involved regulatory splicing factors.

Authors:  Xiaohui Zhang; Andrea N Moor; Kathleen A Merkler; Qiyuan Liu; Mark P McLean
Journal:  Endocrinology       Date:  2007-08-02       Impact factor: 4.736

3.  Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes.

Authors:  Struan F A Grant; Gudmar Thorleifsson; Inga Reynisdottir; Rafn Benediktsson; Andrei Manolescu; Jesus Sainz; Agnar Helgason; Hreinn Stefansson; Valur Emilsson; Anna Helgadottir; Unnur Styrkarsdottir; Kristinn P Magnusson; G Bragi Walters; Ebba Palsdottir; Thorbjorg Jonsdottir; Thorunn Gudmundsdottir; Arnaldur Gylfason; Jona Saemundsdottir; Robert L Wilensky; Muredach P Reilly; Daniel J Rader; Yu Bagger; Claus Christiansen; Vilmundur Gudnason; Gunnar Sigurdsson; Unnur Thorsteinsdottir; Jeffrey R Gulcher; Augustine Kong; Kari Stefansson
Journal:  Nat Genet       Date:  2006-01-15       Impact factor: 38.330

4.  Scavenger receptor class B, type I-mediated uptake of various lipids into cells. Influence of the nature of the donor particle interaction with the receptor.

Authors:  S T Thuahnai; S Lund-Katz; D L Williams; M C Phillips
Journal:  J Biol Chem       Date:  2001-09-19       Impact factor: 5.157

5.  Sampling variability of liver biopsy in nonalcoholic fatty liver disease.

Authors:  Vlad Ratziu; Frédéric Charlotte; Agnès Heurtier; Sophie Gombert; Philippe Giral; Eric Bruckert; André Grimaldi; Frédérique Capron; Thierry Poynard
Journal:  Gastroenterology       Date:  2005-06       Impact factor: 22.682

6.  Association of SND1 protein to low density lipid droplets in liver steatosis.

Authors:  I Garcia-Arcos; Y Rueda; P González-Kother; L Palacios; B Ochoa; O Fresnedo
Journal:  J Physiol Biochem       Date:  2010-04-23       Impact factor: 4.158

7.  Differential effect of oleic and palmitic acid on lipid accumulation and apoptosis in cultured hepatocytes.

Authors:  Matteo Ricchi; Maria Rosaria Odoardi; Lucia Carulli; Claudia Anzivino; Stefano Ballestri; Adriano Pinetti; Luca Isaia Fantoni; Fabio Marra; Marco Bertolotti; Sebastiano Banni; Amedeo Lonardo; Nicola Carulli; Paola Loria
Journal:  J Gastroenterol Hepatol       Date:  2009-01-13       Impact factor: 4.029

Review 8.  Obesity and nonalcoholic fatty liver disease: biochemical, metabolic, and clinical implications.

Authors:  Elisa Fabbrini; Shelby Sullivan; Samuel Klein
Journal:  Hepatology       Date:  2010-02       Impact factor: 17.425

9.  Effects of liver biopsy sample length and number of readings on sampling variability in nonalcoholic Fatty liver disease.

Authors:  Raj Vuppalanchi; Aynur Unalp; Mark L Van Natta; Oscar W Cummings; Kumar E Sandrasegaran; Tariq Hameed; James Tonascia; Naga Chalasani
Journal:  Clin Gastroenterol Hepatol       Date:  2008-12-25       Impact factor: 11.382

10.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

View more
  13 in total

Review 1.  Roles of PTBP1 in alternative splicing, glycolysis, and oncogensis.

Authors:  Wei Zhu; Bo-Lun Zhou; Li-Juan Rong; Li Ye; Hong-Juan Xu; Yao Zhou; Xue-Jun Yan; Wei-Dong Liu; Bin Zhu; Lei Wang; Xing-Jun Jiang; Cai-Ping Ren
Journal:  J Zhejiang Univ Sci B       Date:  2020-02-05       Impact factor: 3.066

2.  Splicing Machinery is Dysregulated in Pituitary Neuroendocrine Tumors and is Associated with Aggressiveness Features.

Authors:  Mari C Vázquez-Borrego; Antonio C Fuentes-Fayos; Eva Venegas-Moreno; Esther Rivero-Cortés; Elena Dios; Paloma Moreno-Moreno; Ainara Madrazo-Atutxa; Pablo Remón; Juan Solivera; Luiz E Wildemberg; Leandro Kasuki; Judith M López-Fernández; Mônica R Gadelha; María A Gálvez-Moreno; Alfonso Soto-Moreno; Manuel D Gahete; Justo P Castaño; Raúl M Luque
Journal:  Cancers (Basel)       Date:  2019-09-26       Impact factor: 6.639

3.  RBM45 associates with nuclear stress bodies and forms nuclear inclusions during chronic cellular stress and in neurodegenerative diseases.

Authors:  Mahlon Collins; Yang Li; Robert Bowser
Journal:  Acta Neuropathol Commun       Date:  2020-06-26       Impact factor: 7.801

4.  Improved cancer biomarkers identification using network-constrained infinite latent feature selection.

Authors:  Lihua Cai; Honglong Wu; Ke Zhou
Journal:  PLoS One       Date:  2021-02-11       Impact factor: 3.240

Review 5.  Alternative RNA Splicing in Fatty Liver Disease.

Authors:  Panyisha Wu; Moya Zhang; Nicholas J G Webster
Journal:  Front Endocrinol (Lausanne)       Date:  2021-02-26       Impact factor: 5.555

6.  Splicing machinery is impaired in rheumatoid arthritis, associated with disease activity and modulated by anti-TNF therapy.

Authors:  Alejandro Ibáñez-Costa; Carlos Perez-Sanchez; Alejandra María Patiño-Trives; Maria Luque-Tevar; Pilar Font; Ivan Arias de la Rosa; Cristobal Roman-Rodriguez; Mª Carmen Abalos-Aguilera; Carmen Conde; Antonio Gonzalez; Sergio Pedraza-Arevalo; Mercedes Del Rio-Moreno; Ricardo Blazquez-Encinas; Pedro Segui; Jerusalem Calvo; Rafaela Ortega Castro; Alejandro Escudero-Contreras; Nuria Barbarroja; Mª Angeles Aguirre; Justo P Castaño; Raul M Luque; Eduardo Collantes-Estevez; Chary Lopez-Pedrera
Journal:  Ann Rheum Dis       Date:  2021-10-08       Impact factor: 19.103

7.  SF3B1 inhibition disrupts malignancy and prolongs survival in glioblastoma patients through BCL2L1 splicing and mTOR/ß-catenin pathways imbalances.

Authors:  Antonio C Fuentes-Fayos; Jesús M Pérez-Gómez; Miguel E G-García; Juan M Jiménez-Vacas; Cristóbal Blanco-Acevedo; Rafael Sánchez-Sánchez; Juan Solivera; Joshua J Breunig; Manuel D Gahete; Justo P Castaño; Raúl M Luque
Journal:  J Exp Clin Cancer Res       Date:  2022-01-27

8.  Dysregulated splicing factor SF3B1 unveils a dual therapeutic vulnerability to target pancreatic cancer cells and cancer stem cells with an anti-splicing drug.

Authors:  Bruno Sainz; Raúl M Luque; Justo P Castaño; Emilia Alors-Perez; Ricardo Blázquez-Encinas; Sonia Alcalá; Cristina Viyuela-García; Sergio Pedraza-Arevalo; Vicente Herrero-Aguayo; Juan M Jiménez-Vacas; Andrea Mafficini; Marina E Sánchez-Frías; María T Cano; Fernando Abollo-Jiménez; Juan A Marín-Sanz; Pablo Cabezas-Sainz; Rita T Lawlor; Claudio Luchini; Laura Sánchez; Juan M Sánchez-Hidalgo; Sebastián Ventura; Laura Martin-Hijano; Manuel D Gahete; Aldo Scarpa; Álvaro Arjona-Sánchez; Alejandro Ibáñez-Costa
Journal:  J Exp Clin Cancer Res       Date:  2021-12-02

9.  Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer.

Authors:  Juan M Jiménez-Vacas; Vicente Herrero-Aguayo; Antonio J Montero-Hidalgo; Enrique Gómez-Gómez; Antonio C Fuentes-Fayos; Antonio J León-González; Prudencio Sáez-Martínez; Emilia Alors-Pérez; Sergio Pedraza-Arévalo; Teresa González-Serrano; Oscar Reyes; Ana Martínez-López; Rafael Sánchez-Sánchez; Sebastián Ventura; Elena M Yubero-Serrano; María J Requena-Tapia; Justo P Castaño; Manuel D Gahete; Raúl M Luque
Journal:  EBioMedicine       Date:  2020-01-03       Impact factor: 8.143

10.  Dietary Intervention Modulates the Expression of Splicing Machinery in Cardiovascular Patients at High Risk of Type 2 Diabetes Development: From the CORDIOPREV Study.

Authors:  Mercedes Del Río-Moreno; Raúl M Luque; Oriol A Rangel-Zúñiga; Emilia Alors-Pérez; Juan F Alcalá-Diaz; Irene Roncero-Ramos; Antonio Camargo; Manuel D Gahete; José López-Miranda; Justo P Castaño
Journal:  Nutrients       Date:  2020-11-17       Impact factor: 5.717

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.