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Antonella M, Pietrobattista A, Maggiore G. Metabolic-Associated Steatotic Liver Disease (MASLD): A New Term for a More Appropriate Therapy in Pediatrics? Pediatr Rep 2024; 16:288-299. [PMID: 38651464 PMCID: PMC11036198 DOI: 10.3390/pediatric16020025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 03/15/2024] [Indexed: 04/25/2024] Open
Abstract
The term "non-alcoholic fatty liver disease" (NAFLD) has been, for a long time, used to describe the spectrum of liver lesions encompassing steatosis, steatohepatitis (NASH), and steatotic cirrhosis [...].
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Affiliation(s)
- Mosca Antonella
- Hepatology and Liver Transplant Unit, ERN RARE LIVER, Bambino Gesù Children’s Hospital, Istituto di ricerca, 00165 Rome, Italy; (A.P.); (G.M.)
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Qin ZW, Ren QN, Zhang HX, Liu YR, Huang K, Wu W, Dong GP, Ni Y, Fu JF. Development and validation of a novel non-invasive test for diagnosing nonalcoholic fatty liver disease in Chinese children. World J Pediatr 2024; 20:413-421. [PMID: 37004681 DOI: 10.1007/s12519-023-00704-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 02/07/2023] [Indexed: 04/04/2023]
Abstract
BACKGROUND With the exploding prevalence of obesity, many children are at risk of developing nonalcoholic fatty liver disease. Using anthropometric and laboratory parameters, our study aimed to develop a model to quantitatively evaluate liver fat content (LFC) in children with obesity. METHODS A well-characterized cohort of 181 children between 5 and 16 years of age were recruited to the study in the Endocrinology Department as the derivation cohort. The external validation cohort comprised 77 children. The assessment of liver fat content was performed using proton magnetic resonance spectroscopy. Anthropometry and laboratory metrics were measured in all subjects. B-ultrasound examination was carried out in the external validation cohort. The Kruskal-Wallis test, Spearman bivariate correlation analyses, univariable linear regressions and multivariable linear regression were used to build the optimal predictive model. RESULTS The model was based on indicators including alanine aminotransferase, homeostasis model assessment of insulin resistance, triglycerides, waist circumference and Tanner stage. The adjusted R2 of the model was 0.589, which presented high sensitivity and specificity both in internal [sensitivity of 0.824, specificity of 0.900, area under curve (AUC) of 0.900 with a 95% confidence interval: 0.783-1.000] and external validation (sensitivity of 0.918 and specificity of 0.821, AUC of 0.901 with a 95% confidence interval: 0.818-0.984). CONCLUSIONS Our model based on five clinical indicators was simple, non-invasive, and inexpensive; it had high sensitivity and specificity in predicting LFC in children. Thus, it may be useful for identifying children with obesity who are at risk for developing nonalcoholic fatty liver disease.
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Affiliation(s)
- Zhe-Wen Qin
- Division of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's HospitalDepartment of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310052, China
| | - Qian-Nan Ren
- Division of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's HospitalDepartment of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310052, China
| | - Hong-Xi Zhang
- Department of Radiology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310052, China
| | - Ya-Ru Liu
- Division of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's HospitalDepartment of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310052, China
| | - Ke Huang
- Division of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's HospitalDepartment of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310052, China
| | - Wei Wu
- Division of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's HospitalDepartment of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310052, China
| | - Guan-Ping Dong
- Division of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's HospitalDepartment of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310052, China
| | - Yan Ni
- Division of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's HospitalDepartment of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310052, China
| | - Jun-Fen Fu
- Division of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's HospitalDepartment of Endocrinology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310052, China.
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Zhou L, Zhang L, Zhang L, Yi W, Yu X, Mei H, Xiao H, Wang Y, Qin H, Xiong X, Yan S, Dong H, Chen P, Chen X. Analysis of risk factors for non-alcoholic fatty liver disease in hospitalized children with obesity before the late puberty stage. Front Endocrinol (Lausanne) 2023; 14:1224816. [PMID: 37720532 PMCID: PMC10501779 DOI: 10.3389/fendo.2023.1224816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 08/04/2023] [Indexed: 09/19/2023] Open
Abstract
Objective This study aimed to determine the clinical characteristics of obese pediatric non-alcoholic fatty liver disease (NAFLD) in central China and verify the applicability of some known risk factors for pediatric NAFLD before late puberty. Methods This was a retrospective case-control study. A total of 1,029 inpatients at Wuhan Children's Hospital before the late puberty stage were enrolled in the study, including 815 children with obesity (non-NAFLD group) and 214 children with obesity and NAFLD (NAFLD group) diagnosed by liver ultrasound. Subgroup analyses were performed according to sex and puberty. The anthropometric indices and laboratory test data of these 1,029 children were sorted. After intergroup comparison, a logistic regression model was used to determine the risk factors for pediatric NAFLD. Significant risk factors for NAFLD were further tested using receiver operating characteristic (ROC) curves to evaluate their ability to predict an early diagnosis of NAFLD. Results The NAFLD group had a mean age of 11.03 ± 1.66, with 11.18 ± 1.66 and 10.27 ± 1.45 years for male and female children, respectively (p < 0.05 and p < 0.01, respectively). Even subdivided by both sex and puberty, raised body mass index (BMI), homeostatic model-insulin resistance, triglycerides, alanine transaminase (ALT), aspartate aminotransferase (AST), and gamma-glutamyl transferase (γ-GT) were still found in the non-NAFLD and NAFLD groups (p < 0.05 and p < 0.01, respectively). The results of logistic regression analysis showed that BMI (odds ratio [OR], 1.468;95% confidence interval [CI], 1.356-1.590; p<0.001) and ALT (OR, 1.073;95%CI, 1.060-1.087; P<0.001) were two most independent risk factors for NAFLD. The maximal OR for BMI was 1.721 (95% CI, 1.336-2.217). In the female group, the maximal OR of ALT was found to be 1.104 (95% CI, 1.061-1.148). Age and thyroid-stimulating hormone (TSH) and γ-GT levels were also risk factors, but they appeared only in some groups. The results of the ROC analysis showed that ALT was a better predictor of pediatric NAFLD than BMI. The maximum area under the ROC curve in six of the nine groups belongs to ALT. Conclusions BMI, ALT, and age are risk factors for NAFLD in children with obesity before late puberty. BMI had the greatest exposure risk for NAFLD, and ALT had the highest predictive value for the diagnosis of NAFLD. At the stratified level, for exposure risk, age was specific to the male sex, TSH was specific to the early puberty stage, and γ-GT was specific to the female sex plus the prepuberty stage. On a stratified level, for the female sex, even with age stratification, BMI rather than ALT has a better ability for the diagnosis of NAFLD.
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Affiliation(s)
- Lishan Zhou
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Linli Zhang
- Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Lingling Zhang
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wei Yi
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xue Yu
- Department of Pediatrics, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Affiliated Hospital of Jianghan University, Jianghan University, Wuhan, Hubei, China
| | - Hong Mei
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Haiyan Xiao
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yuji Wang
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Huan Qin
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaoli Xiong
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Suqi Yan
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hui Dong
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Peng Chen
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaohong Chen
- Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Jayasekera D, Hartmann P. Noninvasive biomarkers in pediatric nonalcoholic fatty liver disease. World J Hepatol 2023; 15:609-640. [PMID: 37305367 PMCID: PMC10251277 DOI: 10.4254/wjh.v15.i5.609] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/14/2023] [Accepted: 04/10/2023] [Indexed: 05/24/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide among children and adolescents. It encompasses a spectrum of disease, from its mildest form of isolated steatosis, to nonalcoholic steatohepatitis (NASH) to liver fibrosis and cirrhosis, or end-stage liver disease. The early diagnosis of pediatric NAFLD is crucial in preventing disease progression and in improving outcomes. Currently, liver biopsy is the gold standard for diagnosing NAFLD. However, given its invasive nature, there has been significant interest in developing noninvasive methods that can be used as accurate alternatives. Here, we review noninvasive biomarkers in pediatric NAFLD, focusing primarily on the diagnostic accuracy of various biomarkers as measured by their area under the receiver operating characteristic, sensitivity, and specificity. We examine two major approaches to noninvasive biomarkers in children with NAFLD. First, the biological approach that quantifies serological biomarkers. This includes the study of individual circulating molecules as biomarkers as well as the use of composite algorithms derived from combinations of biomarkers. The second is a more physical approach that examines data measured through imaging techniques as noninvasive biomarkers for pediatric NAFLD. Each of these approaches was applied to children with NAFLD, NASH, and NAFLD with fibrosis. Finally, we suggest possible areas for future research based on current gaps in knowledge.
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Affiliation(s)
- Dulshan Jayasekera
- Department of Internal Medicine and Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, United States
| | - Phillipp Hartmann
- Department of Pediatrics, Division of Pediatric Gastroenterology, Hepatology, and Nutrition, University of California San Diego, La Jolla, CA 92093, United States.
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Vadarlis A, Chantavaridou S, Kalopitas G, Bakaloudi DR, Karanika E, Tsekitsidi E, Chourdakis M. Τhe anthropometric and biochemical profile of pediatric non-alcoholic fatty liver disease: A systematic review and a meta-analysis. Clin Nutr 2021; 41:105-121. [PMID: 34872045 DOI: 10.1016/j.clnu.2021.11.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 11/03/2021] [Accepted: 11/18/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND & AIMS Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease in children and one of the leading indications for liver transplantation in adults. However, current screening methods are inadequate and are accompanied by several disadvantages. This meta-analysis aims to identify the anthropometrical and biochemical characteristics most commonly appearing in pediatric NAFLD that could contribute to the diagnosis of the disease in the every-day clinical setting. METHODS A systematic search was conducted in major electronic databases (MEDLINE, Scopus and Embase) up to 15th of August 2021. Primary outcome was the comparison of the anthropometric characteristics, whereas secondary outcomes were the comparisons of biochemical profile, lipid profile, and metabolic parameters in children with NAFLD compared with age-matched healthy controls. Quality assessment was performed with Newcastle-Ottawa Scale (NOS) and results were expressed as mean differences with 95% confidence intervals. RESULTS Sixty-four studies were included. Two different comparisons were designed regarding the body mass status. Statistically significant differences were demonstrated by comparing children with NAFLD vs lean/normal weighted controls in body weight (23.0 kg, 95% CI: 14.0-31.8, P < 0.00001), height (3.07 cm, 95% CI: 0.21-5.94, P = 0.04), ΒΜΙ (10 kg/m2, 95% CI: 8.36-11.7, P < 0.00001) and waist circumference 25.8 cm (95% CI: 20.6-30.9, P < 0.00001) and by comparing children with NAFLD vs overweight/obese controls in weight (6.81 kg, 95% CI: 3.81-9.81), height (3.18 cm, 95% CI: 1.24 to 5.13, P = 0.001), BMI (2.19 kg/m2, 95% CI: 1.76-2.62, P < 0.00001) and WC (7.35 cm, 95% CI: 6.20-8.49, P < 0.00001). CONCLUSIONS Anthropometrical and biochemical characteristics of children and adolescents with NAFLD are statistically significantly different compared to age-matched controls; these characteristics could be used to identify individuals at risk of developing NAFLD and related comorbidities.
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Affiliation(s)
- Andreas Vadarlis
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece; Department of Gastroenterology and Hepatology, General Hospital of Thessaloniki "G. Papanikolaou", Greece
| | - Sofia Chantavaridou
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece; 4(th) Department of Pediatrics, General Hospital of Thessaloniki, "Papageorgiou", Greece
| | - Georgios Kalopitas
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece; Division of Gastroenterology and Hepatology, 1(st) Department of Internal Medicine, AHEPA University Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece
| | - Dimitra Rafailia Bakaloudi
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece
| | - Evangelia Karanika
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece
| | - Eirini Tsekitsidi
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece
| | - Michail Chourdakis
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece.
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Suri A, Song E, van Nispen J, Voigt M, Armstrong A, Murali V, Jain A. Advances in the Epidemiology, Diagnosis, and Management of Pediatric Fatty Liver Disease. Clin Ther 2021; 43:438-454. [PMID: 33597074 DOI: 10.1016/j.clinthera.2021.01.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 12/28/2020] [Accepted: 01/04/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE Nonalcoholic fatty liver (NAFL) is a major contributor to pediatric liver disease. This review evaluated the current literature on prevalence, screening, diagnosis, and management of NAFL in children and explored recent advances in the field of pediatric NAFL. METHODS A PubMed search was performed for manuscripts describing disease burden, diagnosis, and management strategies in pediatric NAFL published within the past 15 years. Systematic reviews, clinical practice guidelines, randomized controlled trials, and cohort and case-control studies were reviewed for the purpose of this article. FINDINGS The prevalence of NAFL in children is increasing. It is a leading cause of liver-related morbidity and mortality in children. Screening and diagnosis of NAFL in children are a challenge. Lifestyle changes and exercise are the cornerstones of the management of NAFL. IMPLICATIONS Further research is needed to develop better screening and diagnostic tools for pediatric NAFL, including noninvasive diagnostics. NAFL therapeutics is another area of much-needed, ongoing research.
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Affiliation(s)
- Anandini Suri
- Department of Pediatrics, School of Medicine, St. Louis University, St. Louis, Missouri, USA.
| | - Eric Song
- Department of Pediatrics, School of Medicine, St. Louis University, St. Louis, Missouri, USA
| | - Johan van Nispen
- Department of Pediatrics, School of Medicine, St. Louis University, St. Louis, Missouri, USA
| | - Marcus Voigt
- Department of Pediatrics, School of Medicine, St. Louis University, St. Louis, Missouri, USA
| | - Austin Armstrong
- Department of Pediatrics, School of Medicine, St. Louis University, St. Louis, Missouri, USA
| | - Vidul Murali
- Department of Pediatrics, School of Medicine, St. Louis University, St. Louis, Missouri, USA
| | - Ajay Jain
- Department of Pediatrics, School of Medicine, St. Louis University, St. Louis, Missouri, USA
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Mosca A, Panera N, Crudele A, Alisi A. Noninvasive diagnostic tools for pediatric NAFLD: where are we now? Expert Rev Gastroenterol Hepatol 2020; 14:1035-1046. [PMID: 32715793 DOI: 10.1080/17474124.2020.1801413] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
INTRODUCTION Nonalcoholic fatty liver disease (NAFLD) is a leading cause of liver disease in the pediatric population. It is a significant liver complication of obesity that also prominently affects children. Over the past decade, several noninvasive methods have been investigated for replacing liver biopsy to identify which children with NAFLD have nonalcoholic steatohepatitis (NASH) and fibrosis. These methods that aim to differentiate the type and extent of liver damage are based on two main different methodologies: a 'biological' approach centered on the quantification of circulating biomarkers; and a 'physical' approach established by analyzing different imaging data. AREAS COVERED In this review, we illustrate the state of the art and recent discoveries on noninvasive methods for the diagnosis of NAFLD, NASH, and advanced fibrosis. EXPERT OPINION Currently, noninvasive tests cannot diagnose NASH or determine the degree of fibrosis. However, several lines of evidence have suggested that if these tests are used in a complementary way with other laboratory tests and imaging they have the potential to be used to monitor progression of disease and response to therapy in pediatric NAFLD. Future scientific research will focus on combining these methods with multiple potential predictors of genetic susceptibility.
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Affiliation(s)
- Antonella Mosca
- Hepatology Gastroenterology and Nutrition, Bambino Gesù Children's Hospital , Rome, Italy
| | - Nadia Panera
- Research Unit of Molecular Genetics of Complex Phenotypes, Bambino Gesù Children's Hospital, IRCCS , Rome, Italy
| | - Annalisa Crudele
- Research Unit of Molecular Genetics of Complex Phenotypes, Bambino Gesù Children's Hospital, IRCCS , Rome, Italy
| | - Anna Alisi
- Research Unit of Molecular Genetics of Complex Phenotypes, Bambino Gesù Children's Hospital, IRCCS , Rome, Italy
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Ocker M. Fibroblast growth factor signaling in non-alcoholic fatty liver disease and non-alcoholic steatohepatitis: Paving the way to hepatocellular carcinoma. World J Gastroenterol 2020; 26:279-290. [PMID: 31988589 PMCID: PMC6969880 DOI: 10.3748/wjg.v26.i3.279] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 12/17/2019] [Accepted: 01/01/2020] [Indexed: 02/06/2023] Open
Abstract
Metabolic disorders are increasingly leading to non-alcoholic fatty liver disease, subsequent steatohepatitis, cirrhosis and hepatocellular carcinoma. Fibroblast growth factors and their receptors play an important role in maintaining metabolic homeostasis also in the liver and disorders in signaling have been identified to contribute to those pathophysiologic conditions leading to hepatic lipid accumulation and chronic inflammation. While specific and well tolerated inhibitors of fibroblast growth factor receptor activity are currently developed for (non-liver) cancer therapy, treatment of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis is still limited. Fibroblast growth factor-mimicking or restoring approaches have recently evolved as a novel therapeutic option and the impact of such interactions with the fibroblast growth factor receptor signaling network during non-alcoholic fatty liver disease/non-alcoholic steatohepatitis development is reviewed here.
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Affiliation(s)
- Matthias Ocker
- Department of Gastroenterology (CBF), Charité University Medicine Berlin, Berlin 10117, Germany
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