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Gawrieh S, Vilar-Gomez E, Wilson LA, Pike F, Kleiner DE, Neuschwander-Tetri BA, Diehl AM, Dasarathy S, Kowdley KV, Hameed B, Tonascia J, Loomba R, Sanyal AJ, Chalasani N. Increases and decreases in liver stiffness measurement are independently associated with the risk of liver-related events in NAFLD. J Hepatol 2024:S0168-8278(24)00343-X. [PMID: 38762169 DOI: 10.1016/j.jhep.2024.05.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 04/29/2024] [Accepted: 05/06/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND & AIMS The clinical significance of change in liver stiffness measurement (LSM) by vibration-controlled transient elastography (VCTE) in patients with non-alcoholic fatty liver disease (NAFLD) is not well-understood. We prospectively defined rates of progression to and regression from LSM-defined compensated advanced chronic liver disease (cACLD) and their associations with liver-related events (LREs). METHODS Participants in the NASH Clinical Research Network-led NAFLD Database 2 and 3 studies were included. Progression to cACLD was defined as reaching LSM ≥10 kPa in participants with LSM <10 kPa on initial VCTE; regression from cACLD was defined as reaching LSM <10 kPa in participants with baseline LSM ≥10 kPa. LREs were defined as liver-related death, liver transplant, hepatocellular carcinoma, MELD >15, development of varices, or hepatic decompensation. Univariate and multivariable interval-censored Cox regression analyses were used to compare the cumulative LRE probability by LSM progression and regression status. RESULTS In 1,403 participants, 89 LREs developed over a mean follow-up of 4.4 years, with an annual incidence rate for LREs of 1.5 (95% CI 1.2-1.8). In participants at risk, progression to LSM ≥10 or ≥15 kPa occurred in 29% and 17%, respectively, whereas regression to LSM <10 or <15 kPa occurred in 44% and 49%, respectively. Progressors to cACLD (≥10 kPa) experienced a higher cumulative LRE rate vs. non-progressors (16% vs. 4%, adjusted hazard ratio 4.0; 95% (1.8-8.9); p <0.01). Regressors from cACLD (to LSM <10 kPa) experienced a lower LRE rate than non-regressors (7% vs. 32%, adjusted hazard ratio 0.25; 95% CI 0.10-0.61; p <0.01). CONCLUSIONS Change in LSM over time is independently and bi-directionally associated with risk of LRE and is a non-invasive surrogate for clinical outcomes in patients with NAFLD. IMPACT AND IMPLICATIONS The prognostic value of change in LSM in patients with NAFLD is not well understood. In this large prospective study of patients with NAFLD and serial vibration-controlled transient elastography exams, baseline and dynamic changes in LSM were associated with the risk of developing liver-related events. LSM is a useful non-invasive surrogate of clinical outcomes in patients with NAFLD.
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Affiliation(s)
- Samer Gawrieh
- Division of Gastroenterology and Hepatology, Indiana University, Indianapolis, IN, United States
| | - Eduardo Vilar-Gomez
- Division of Gastroenterology and Hepatology, Indiana University, Indianapolis, IN, United States
| | - Laura A Wilson
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, United States
| | - Francis Pike
- Department of Biostatistics and Health Data Science, Indiana University, Indianapolis, IN, United States
| | - David E Kleiner
- Laboratory of Pathology, National Cancer Institute, Bethesda, MD, United States
| | | | - Anna Mae Diehl
- Division of Gastroenterology and Hepatology, Duke University, Durham, NC, United States
| | - Srinivasan Dasarathy
- Division of Gastroenterology and Hepatology, Cleveland Clinic Foundation, Cleveland, OH, United States
| | | | - Bilal Hameed
- Division of Gastroenterology and Hepatology, University of California, San Francisco, CA, United States
| | - James Tonascia
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, United States
| | - Rohit Loomba
- Division of Gastroenterology and Hepatology, University of California, San Diego, CA, United States
| | - Arun J Sanyal
- Division of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University, Richmond, VA, United States
| | - Naga Chalasani
- Division of Gastroenterology and Hepatology, Indiana University, Indianapolis, IN, United States.
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Martínez-Urbistondo D, Perez-Diaz-Del-Campo N, Landecho MF, Martínez JA. Alcohol Drinking Impacts on Adiposity and Steatotic Liver Disease: Concurrent Effects on Metabolic Pathways and Cardiovascular Risks. Curr Obes Rep 2024:10.1007/s13679-024-00560-5. [PMID: 38520634 DOI: 10.1007/s13679-024-00560-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/14/2024] [Indexed: 03/25/2024]
Abstract
PURPOSE OF REVIEW This integrative search aimed to provide a scoping overview of the relationships between the benefits and harms of alcohol drinking with cardiovascular events as associated to body fat mass and fatty liver diseases, as well as offering critical insights for precision nutrition research and personalized medicine implementation concerning cardiovascular risk management associated to ethanol consumption. RECENT FINDINGS Frequent alcohol intake could contribute to a sustained rise in adiposity over time. Body fat distribution patterns (abdominal/gluteus-femoral) and intrahepatic accumulation of lipids have been linked to adverse cardiovascular clinical outcomes depending on ethanol intake. Therefore, there is a need to understand the complex interplay between alcohol consumption, adipose store distribution, metabolic dysfunction-associated steatotic liver disease (MASLD), and cardiovascular events in adult individuals. The current narrative review deals with underconsidered and apparently conflicting benefits concerning the amount of alcohol intake, ranging from abstention to moderation, and highlights the requirements for additional robust methodological studies and trials to interpret undertrained and existing controversies. The conclusion of this review emphasizes the need of newer multifaceted clinical approaches for precision medicine implementation, considering epidemiological strategies and pathophysiological mechanistic. Newer investigations and trials should be derived and performed particularly focusing both on alcohol's objective consequences as putatively mediated by fat deposition, including associated roles in fatty liver disease as well as to differentiate the impact of different levels of alcohol consumption (absence or moderation) concerning cardiovascular risks and accompanying clinical manifestations. Indeed, the threshold for the safe consumption of alcoholic drinks remains to be fully elucidated.
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Affiliation(s)
- Diego Martínez-Urbistondo
- Departamento de Medicina Interna, Area de Medicina Vascular-Madrid, Clinica Universidad de Navarra, Madrid, Spain
| | | | - Manuel F Landecho
- Obesity and General Health Check-Up Area, Internal Medicine Department, Clínica Universidad de Navarra, Pamplona, Spain
| | - J Alfredo Martínez
- Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain.
- Precision Nutrition Program, Research Institute on Food and Health Sciences IMDEA Food, CSIC-UAM, Madrid, Spain.
- Centre of Medicine and Endocrinology, University of Valladolid, Valladolid, Spain.
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3
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Seitz HK, John U. [Alcohol as a health risk: new recommendations for dealing with alcohol]. INNERE MEDIZIN (HEIDELBERG, GERMANY) 2023; 64:1224-1229. [PMID: 37707519 DOI: 10.1007/s00108-023-01574-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/28/2023] [Indexed: 09/15/2023]
Abstract
BACKGROUND Chronic alcohol consumption is related to more than 200 disorders. Up until now, limits for low-risk use of alcohol were 24 g/ day for men and 12 g/ day for women. Recent epidemiologic studies have shown that any alcohol may be harmful. AIM The aim of this review is to reassess the health risk of alcohol. RESULTS There is a linear relationship between the amount of alcohol consumed and mortality risk. No risk-free dose of alcohol exists. However, health risk varies not only with the amount of alcohol consumed but also with target organs, as well as individual genetic and non-genetic factors such as smoking, medication use, exposure to environmental toxins, and pre-existing disease that deteriorates with alcohol use. High-risk groups for the damaging effect of alcohol include children and adolescents, old people, and women. Diseases that are affected by alcohol even at a low dose include arterial hypertension, cardiac arrhythmia (extrasystole, arterial fibrillation), some liver diseases (non-alcoholic fatty liver disease, hepatitis C, porphyria) as well as breast cancer. For these disorders, a threshold of low risk does not exist. Finally, in addition to breast cancer, alcohol is a risk factor for cancer of the oral cavity, the larynx, pharynx, oesophagus, liver, and colorectum. During pregnancy alcohol is completely forbidden. CONCLUSION There is no such thing as a risk-free dose of alcohol.
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Affiliation(s)
- Helmut K Seitz
- Zentrum für Leber- und Alkoholerkrankungen, Ethianum Klinik, Voßstraße 6, Heidelberg, Deutschland.
- Medizinische Fakultät, Universität Heidelberg, Heidelberg, Deutschland.
| | - Ulrich John
- Präventionsforschung und Sozialmedizin, Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Deutschland
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4
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Chen Y, Du X, Kuppa A, Feitosa MF, Bielak LF, O'Connell JR, Musani SK, Guo X, Kahali B, Chen VL, Smith AV, Ryan KA, Eirksdottir G, Allison MA, Bowden DW, Budoff MJ, Carr JJ, Chen YDI, Taylor KD, Oliveri A, Correa A, Crudup BF, Kardia SLR, Mosley TH, Norris JM, Terry JG, Rotter JI, Wagenknecht LE, Halligan BD, Young KA, Hokanson JE, Washko GR, Gudnason V, Province MA, Peyser PA, Palmer ND, Speliotes EK. Genome-wide association meta-analysis identifies 17 loci associated with nonalcoholic fatty liver disease. Nat Genet 2023; 55:1640-1650. [PMID: 37709864 PMCID: PMC10918428 DOI: 10.1038/s41588-023-01497-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 08/07/2023] [Indexed: 09/16/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is common and partially heritable and has no effective treatments. We carried out a genome-wide association study (GWAS) meta-analysis of imaging (n = 66,814) and diagnostic code (3,584 cases versus 621,081 controls) measured NAFLD across diverse ancestries. We identified NAFLD-associated variants at torsin family 1 member B (TOR1B), fat mass and obesity associated (FTO), cordon-bleu WH2 repeat protein like 1 (COBLL1)/growth factor receptor-bound protein 14 (GRB14), insulin receptor (INSR), sterol regulatory element-binding transcription factor 1 (SREBF1) and patatin-like phospholipase domain-containing protein 2 (PNPLA2), as well as validated NAFLD-associated variants at patatin-like phospholipase domain-containing protein 3 (PNPLA3), transmembrane 6 superfamily 2 (TM6SF2), apolipoprotein E (APOE), glucokinase regulator (GCKR), tribbles homolog 1 (TRIB1), glycerol-3-phosphate acyltransferase (GPAM), mitochondrial amidoxime-reducing component 1 (MARC1), microsomal triglyceride transfer protein large subunit (MTTP), alcohol dehydrogenase 1B (ADH1B), transmembrane channel like 4 (TMC4)/membrane-bound O-acyltransferase domain containing 7 (MBOAT7) and receptor-type tyrosine-protein phosphatase δ (PTPRD). Implicated genes highlight mitochondrial, cholesterol and de novo lipogenesis as causally contributing to NAFLD predisposition. Phenome-wide association study (PheWAS) analyses suggest at least seven subtypes of NAFLD. Individuals in the top 10% and 1% of genetic risk have a 2.5-fold to 6-fold increased risk of NAFLD, cirrhosis and hepatocellular carcinoma. These genetic variants identify subtypes of NAFLD, improve estimates of disease risk and can guide the development of targeted therapeutics.
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Affiliation(s)
- Yanhua Chen
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Xiaomeng Du
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Annapurna Kuppa
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jeffrey R O'Connell
- Department of Endocrinology, Diabetes and Nutrition, University of Maryland - Baltimore, Baltimore, MD, USA
| | - Solomon K Musani
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Bratati Kahali
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Centre for Brain Research, Indian Institute of Science, Bangalore, India
| | - Vincent L Chen
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Albert V Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Kathleen A Ryan
- Department of Endocrinology, Diabetes and Nutrition, University of Maryland - Baltimore, Baltimore, MD, USA
| | | | - Matthew A Allison
- Department of Family Medicine, University of California San Diego, San Diego, CA, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Matthew J Budoff
- Department of Internal Medicine, Lundquist Institute at Harbor-UCLA, Torrance, CA, USA
| | - John Jeffrey Carr
- Department of Radiology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Yii-Der I Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Antonino Oliveri
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Breland F Crudup
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Jill M Norris
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - James G Terry
- Department of Radiology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Lynne E Wagenknecht
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Brian D Halligan
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Kendra A Young
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - John E Hokanson
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - George R Washko
- Department of Medicine, Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, MA, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Elizabeth K Speliotes
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
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5
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Guo L, Cai Y, Wang B, Zhang F, Zhao H, Liu L, Tao L. Characterization of the circulating transcriptome expression profile and identification of novel miRNA biomarkers in hypertrophic cardiomyopathy. Eur J Med Res 2023; 28:205. [PMID: 37391825 DOI: 10.1186/s40001-023-01159-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 06/07/2023] [Indexed: 07/02/2023] Open
Abstract
BACKGROUND Hypertrophic cardiomyopathy (HCM), one of the most common genetic cardiovascular diseases, but cannot be explained by single genetic factors. Circulating microRNAs (miRNAs) are stable and highly conserved. Inflammation and immune response participate in HCM pathophysiology, but whether the miRNA profile changes correspondingly in human peripheral blood mononuclear cells (PBMCs) with HCM is unclear. Herein, we aimed to investigate the circulating non-coding RNA (ncRNA) expression profile in PBMCs and identify potential miRNAs for HCM biomarkers. METHODS A Custom CeRNA Human Gene Expression Microarray was used to identify differentially expressed (DE) mRNAs, miRNAs, and ncRNAs (including circRNA and lncRNA) in HCM PBMCs. Weighted correlation network analysis (WGCNA) was used to identify HCM-related miRNA and mRNA modules. The mRNAs and miRNAs from the key modules were used to construct a co-expression network. Three separate machine learning algorithms (random forest, support vector machine, and logistic regression) were applied to identify potential biomarkers based on miRNAs from the HCM co-expression network. Gene Expression Omnibus (GEO) database (GSE188324) and experimental samples were used for further verification. Gene set enrichment analysis (GSEA) and competing endogenous RNA (ceRNA) network was used to determine the potential functions of the selected miRNAs in HCM. RESULTS We identified 1194 DE-mRNAs, 232 DE-miRNAs and 7696 DE-ncRNAs in HCM samples compared with normal controls from the microarray data sets. WGCNA identified key miRNA modules and mRNA modules evidently associated with HCM. We constructed a miRNA‒mRNA co-expression network based on these modules. A total of three hub miRNAs (miR-924, miR-98 and miR-1) were identified by random forest, and the areas under the receiver operator characteristic curves of miR-924, miR-98 and miR-1 were 0.829, 0.866, and 0.866, respectively. CONCLUSIONS We elucidated the transcriptome expression profile in PBMCs and identified three hub miRNAs (miR-924, miR-98 and miR-1) as potential biomarkers for HCM detection.
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Affiliation(s)
- Lanyan Guo
- Department of Cardiology, Xijing Hospital, the Fourth Military Medical University, 127 Changle West Road, Xi'an, 710032, Shaan Xi, China
| | - Yue Cai
- Department of Cardiology, Xijing Hospital, the Fourth Military Medical University, 127 Changle West Road, Xi'an, 710032, Shaan Xi, China
| | - Bo Wang
- Department of Ultrasound, Xijing Hospital, the Fourth Military Medical University, 127 Changle West Road, Xi'an, 710032, Shaan Xi, China
| | - Fuyang Zhang
- Department of Cardiology, Xijing Hospital, the Fourth Military Medical University, 127 Changle West Road, Xi'an, 710032, Shaan Xi, China
| | - Hang Zhao
- Department of Cardiology, Xijing Hospital, the Fourth Military Medical University, 127 Changle West Road, Xi'an, 710032, Shaan Xi, China
| | - Liwen Liu
- Department of Ultrasound, Xijing Hospital, the Fourth Military Medical University, 127 Changle West Road, Xi'an, 710032, Shaan Xi, China.
| | - Ling Tao
- Department of Cardiology, Xijing Hospital, the Fourth Military Medical University, 127 Changle West Road, Xi'an, 710032, Shaan Xi, China.
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6
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Quintanilla ME, Israel Y. Role of Metabolism on Alcohol Preference, Addiction, and Treatment. Curr Top Behav Neurosci 2023. [PMID: 37221350 DOI: 10.1007/7854_2023_422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Studies presented in this chapter show that: (1) in the brain, ethanol is metabolized by catalase to acetaldehyde, which condenses with dopamine forming salsolinol; (2) acetaldehyde-derived salsolinol increases the release of dopamine mediating, via opioid receptors, the reinforcing effects of ethanol during the acquisition of ethanol consumption, while (3) brain acetaldehyde does not influence the maintenance of chronic ethanol intake, it is suggested that a learned cue-induced hyperglutamatergic system takes precedence over the dopaminergic system. However, (4) following a prolonged ethanol deprivation, the generation of acetaldehyde in the brain again plays a role, contributing to the increase in ethanol intake observed during ethanol re-access, called the alcohol deprivation effect (ADE), a model of relapse behavior; (5) naltrexone inhibits the high ethanol intake seen in the ADE condition, suggesting that acetaldehyde-derived salsolinol via opioid receptors also contributes to the relapse-like drinking behavior. The reader is referred to glutamate-mediated mechanisms that trigger the cue-associated alcohol-seeking and that also contribute to triggering relapse.
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Affiliation(s)
- María Elena Quintanilla
- Molecular and Clinical Pharmacology Program, Institute of Biomedical Sciences, Faculty of Medicine, University of Chile, Santiago, Chile.
| | - Yedy Israel
- Molecular and Clinical Pharmacology Program, Institute of Biomedical Sciences, Faculty of Medicine, University of Chile, Santiago, Chile
- Centro de Medicina Regenerativa, ICM Clinica Alemana-Universidad de Desarrollo, Santiago, Chile
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Chien TH, Lin CL, Chen LW, Chien CH, Hu CC. Patients with Non-Alcoholic Fatty Liver Disease and Alcohol Dehydrogenase 1B/Aldehyde Dehydrogenase 2 Mutant Gene Have Higher Values of Serum Alanine Transaminase. J Pers Med 2023; 13:jpm13050758. [PMID: 37240928 DOI: 10.3390/jpm13050758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 04/23/2023] [Accepted: 04/24/2023] [Indexed: 05/28/2023] Open
Abstract
Patients with non-alcoholic fatty liver disease (NAFLD) share similar pathophysiologies to those of patients with alcohol liver disease. Alcoholic metabolic enzyme-related genes (alcohol dehydrogenase 1B (ADH1B) and aldehyde dehydrogenase 2 (ALDH2)) may be associated with pathophysiology in NAFLD patients. In this study, the association between ADH1B/ALDH2 gene polymorphism and serum metabolic factors, body statures, and hepatic steatosis/fibrosis status was evaluated in patients with NAFLD. Using biochemistry data, abdominal ultrasonography, fibrosis evaluation (Kpa), and steatosis evaluation (CAP), ADH1B gene SNP rs1229984 and ALDH2 gene SNP rs671 polymorphism were analyzed in sixty-six patients from 1 January 2022 to 31 December 2022. The percentage of the mutant type (GA + AA) was 87.9% (58/66) in the ADH1B allele and 45.5% (30/66) in the ALDH2 allele. Patients with the mutant-type ADH1B/ALDH2 allele had higher values of alanine aminotransferase (ALT) than the wild type (β = 0.273, p = 0.04). No association was observed between body mass index, serum metabolic factors (sugar and lipid profile), CAP, kPa, and ADH1B/ALDH2. A high proportion of the mutant-type ADH1B allele (87.9%) and ALDH2 allele (45.5%) was observed in patients with NAFLD. No association was observed between ADH1B/ALDH2 allele, BMI, and hepatic steatosis/fibrosis. Patients with the mutant-type ADH1B/ALDH2 allele had higher values of ALT than those with the wild type.
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Affiliation(s)
- Tsuo-Hsuan Chien
- Department of Gastroenterology and Hepatology, Chang-Gung Memorial Hospital and University, Keelung Branch, Keelung 204, Taiwan
| | - Chih-Lang Lin
- Department of Gastroenterology and Hepatology, Chang-Gung Memorial Hospital and University, Keelung Branch, Keelung 204, Taiwan
- Community Medicine Research Center, Chang-Gung Memorial Hospital and University, Keelung Branch, Keelung 204, Taiwan
| | - Li-Wei Chen
- Department of Gastroenterology and Hepatology, Chang-Gung Memorial Hospital and University, Keelung Branch, Keelung 204, Taiwan
- Community Medicine Research Center, Chang-Gung Memorial Hospital and University, Keelung Branch, Keelung 204, Taiwan
| | - Cheng-Hung Chien
- Department of Gastroenterology and Hepatology, Chang-Gung Memorial Hospital and University, Keelung Branch, Keelung 204, Taiwan
- Community Medicine Research Center, Chang-Gung Memorial Hospital and University, Keelung Branch, Keelung 204, Taiwan
| | - Ching-Chih Hu
- Department of Gastroenterology and Hepatology, Chang-Gung Memorial Hospital and University, Keelung Branch, Keelung 204, Taiwan
- Community Medicine Research Center, Chang-Gung Memorial Hospital and University, Keelung Branch, Keelung 204, Taiwan
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8
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Alcohol consumption and metabolic syndrome: Clinical and epidemiological impact on liver disease. J Hepatol 2023; 78:191-206. [PMID: 36063967 DOI: 10.1016/j.jhep.2022.08.030] [Citation(s) in RCA: 50] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 08/04/2022] [Accepted: 08/19/2022] [Indexed: 02/01/2023]
Abstract
Alcohol use and metabolic syndrome are highly prevalent in the population and frequently co-exist. Both are implicated in a large range of health problems, including chronic liver disease, hepatocellular carcinoma, and liver-related outcomes (i.e. decompensation or liver transplantation). Studies have yielded mixed results regarding the effects of mild-moderate alcohol consumption on the risk of metabolic syndrome and fatty liver disease, possibly due to methodological differences. The few available prospective studies have indicated that mild-moderate alcohol use is associated with an increase in liver-related outcomes. This conclusion was substantiated by systems biology analyses suggesting that alcohol and metabolic syndrome may play a similar role in fatty liver disease, potentiating an already existing dysregulation of common vital homeostatic pathways. Alcohol and metabolic factors are independently and jointly associated with liver-related outcomes. Indeed, metabolic syndrome increases the risk of liver-related outcomes, regardless of alcohol intake. Moreover, the components of metabolic syndrome appear to have additive effects when it comes to the risk of liver-related outcomes. A number of population studies have implied that measures of central/abdominal obesity, such as the waist-to-hip ratio, can predict liver-related outcomes more accurately than BMI, including in individuals who consume harmful quantities of alcohol. Many studies even point to synergistic interactions between harmful alcohol use and many metabolic components. This accumulating evidence showing independent, combined, and modifying effects of alcohol and metabolic factors on the onset and progression of chronic liver disease highlights the multifactorial background of liver disease in the population. The available evidence suggests that more holistic approaches could be useful for risk prediction, diagnostics and treatment planning.
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9
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Testino G, Pellicano R. Metabolic associated liver disease. Panminerva Med 2022; 64:555-563. [PMID: 36533665 DOI: 10.23736/s0031-0808.22.04730-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
In real practice the patient with liver disease is often the carrier of multiple etiological factors such as metabolic syndrome (MS) and alcohol consumption (AC). Their copresence is often underestimated and AC is not adequately studied. Traditionally to diagnose non-alcoholic fatty liver disease (NAFLD), AC must not exceed 30 gr for men and 20 gr for women per day. This limit should still be reduced, especially in relation to the AC and fibrogenesis ratio and also frequent misestimation of AC or unrecognized MS may underestimate multi caused liver injury. AC is a contributing cause of MS and alcoholic and non-alcoholic liver disease have a substantially overlapping histopathological picture. Moreover, AC and MS are cause and contributing cause of extra-hepatic morbidity and mortality. It can be concluded that the possible simplification of terminology at metabolic associated liver disease (MALD) makes clinical activity more usable and immediate, facilitates better communication and cooperation between scientific societies and specialists who apparently deal with different medical sectors, facilitates early identification of related hepatic and extra-hepatic pathology, allows to "see the person in a unitary way," to create more streamlined care pathways, to reduce the hospitalization rate with relative cost-benefit advantage and to create unitary prevention and health promotion policies.
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Affiliation(s)
- Gianni Testino
- Unit of Addiction and Hepatology/Alcohological Regional Centre, ASL3 c/o Polyclinic San Martino Hospital, Genoa, Italy -
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10
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Vilar-Gomez E, Pirola CJ, Sookoian S, Wilson LA, Liang T, Chalasani N. PNPLA3 rs738409 and risk of fibrosis in NAFLD: Exploring mediation pathways through intermediate histological features. Hepatology 2022; 76:1482-1494. [PMID: 35349726 PMCID: PMC9519813 DOI: 10.1002/hep.32491] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 02/24/2022] [Accepted: 03/27/2022] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND AIMS It is unclear whether rs738409 (p.I148M) missense variant in patatin-like phospholipase domain-containing 3 rs738409 promotes fibrosis development by triggering specific fibrogenic pathways or by creating an unfavorable microenvironment by promoting steatosis, inflammation, and ultimately fibrosis. We tested the hypothesis that intermediate histologic traits, including steatosis, lobular and portal inflammation, and ballooning may determine the effect of rs738409 on liver fibrosis among individuals with biopsy-proven NAFLD. APPROACH AND RESULTS Causal mediation models including multiple mediators in parallel or sequentially were performed to examine the effect of rs738409, by decomposing its total effect on fibrosis severity into direct and indirect effects, mediated by histology traits in 1153 non-Hispanic White patients. Total effect of rs738409 on fibrosis was β = 0.19 (95% CI: 0.09-0.29). The direct effect of rs738409 on fibrosis after removing mediators' effects was β = 0.09 (95% CI: 0.01-0.17) and the indirect effect of rs738409 on fibrosis through all mediators' effects were β = 0.010 (95% CI: 0.04-0.15). Among all mediators, the greatest estimated effect size was displayed by portal inflammation (β = 0.09, 95% CI: 0.05-0.12). Among different sequential combinations of histology traits, the path including lobular inflammation followed by ballooning degeneration displayed the most significant indirect effect (β = 0.023, 95% CI: 0.011-0.037). Mediation analysis in a separate group of 404 individuals with biopsy-proven NAFLD from other races and ethnicity showed similar results. CONCLUSIONS In NAFLD, nearly half of the total effect of the rs738409 G allele on fibrosis severity could be explained by a direct pathway, suggesting that rs738409 may promote fibrosis development by activating specific fibrogenic pathways. A large proportion of the indirect effect of rs738409 on fibrosis severity is mediated through portal inflammation.
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Affiliation(s)
- Eduardo Vilar-Gomez
- Department of Medicine, Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, US
| | - Carlos J. Pirola
- Molecular Genetics and Biology of Complex Diseases and Department of Clinical and Molecular Hepatology, Institute of Medical Research (IDIM), University of Buenos Aires-National Scientific and Technical Research Council (CONICET), Ciudad Autonoma de Buenos Aires, Argentina
| | - Silvia Sookoian
- Molecular Genetics and Biology of Complex Diseases and Department of Clinical and Molecular Hepatology, Institute of Medical Research (IDIM), University of Buenos Aires-National Scientific and Technical Research Council (CONICET), Ciudad Autonoma de Buenos Aires, Argentina
| | - Laura A. Wilson
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Tiebing Liang
- Department of Medicine, Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, US
| | - Naga Chalasani
- Department of Medicine, Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, US
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11
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Abstract
ComptoxAI is a new data infrastructure for computational and artificial intelligence research in predictive toxicology. Here, we describe and showcase ComptoxAI's graph-structured knowledge base in the context of three real-world use-cases, demonstrating that it can rapidly answer complex questions about toxicology that are infeasible using previous technologies and data resources. These use-cases each demonstrate a tool for information retrieval from the knowledge base being used to solve a specific task: The "shortest path" module is used to identify mechanistic links between perfluorooctanoic acid (PFOA) exposure and nonalcoholic fatty liver disease; the "expand network" module identifies communities that are linked to dioxin toxicity; and the quantitative structure-activity relationship (QSAR) dataset generator predicts pregnane X receptor agonism in a set of 4,021 pesticide ingredients. The contents of ComptoxAI's source data are rigorously aggregated from a diverse array of public third-party databases, and ComptoxAI is designed as a free, public, and open-source toolkit to enable diverse classes of users including biomedical researchers, public health and regulatory officials, and the general public to predict toxicology of unknowns and modes of action.
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Affiliation(s)
- Joseph D Romano
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Center of Excellence in Environmental Toxicology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Yun Hao
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Jason H Moore
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California 90069, United States
| | - Trevor M Penning
- Center of Excellence in Environmental Toxicology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Department of Systems Pharmacology & Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
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12
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Pirola CJ, Sookoian S. Metabolic dysfunction-associated fatty liver disease: advances in genetic and epigenetic implications. Curr Opin Lipidol 2022; 33:95-102. [PMID: 34966133 DOI: 10.1097/mol.0000000000000814] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Fatty liver associated with metabolic dysfunction, also known under the acronym NAFLD (nonalcoholic fatty liver disease) is the leading global cause of chronic liver disease. In this review, we address the state of research on genetics and epigenetics of NAFLD with focus on key discoveries and conceptual advances over the past 2 years. RECENT FINDINGS The analysis of NAFLD-associated genetic variant effects on the whole-transcriptome, including quantitative trait loci (QTL) associated with gene expression (eQTL) or splicing (sQTL) may explain pleiotropic effects. Functional experiments on NAFLD-epigenetics, including profiling of liver chromatin accessibility quantitative trait loci (caQTL) show co-localization with numerous genome-wide association study signals linked to metabolic and cardiovascular traits. Novel studies provide insights into the modulation of the hepatic transcriptome and epigenome by tissue microbiotas. Genetic variation of components of the liver cellular respirasome may result in broad cellular and metabolic effects. Mitochondrial noncoding RNAs may regulate liver inflammation and fibrogenesis. RNA modifications as N6-methyladenosine may explain sex-specific differences in liver gene transcription linked to lipid traits. SUMMARY The latest developments in the field of NAFLD-genomics can be leveraged for identifying novel disease mechanisms and therapeutic targets that may prevent the morbidity and mortality associated with disease progression. VIDEO ABSTRACT http://links.lww.com/COL/A23.
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Affiliation(s)
- Carlos J Pirola
- Institute of Medical Research A Lanari, University of Buenos Aires, School of Medicine
- Department of Molecular Genetics and Biology of Complex Diseases, Institute of Medical Research (IDIM), National Scientific and Technical Research Council (CONICET) - University of Buenos Aires
| | - Silvia Sookoian
- Institute of Medical Research A Lanari, University of Buenos Aires, School of Medicine
- Department of Clinical and Molecular Hepatology, Institute of Medical Research (IDIM), National Scientific and Technical Research Council (CONICET) - University of Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina
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13
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Sebastiani G, Patel K, Ratziu V, Feld JJ, Neuschwander-Tetri BA, Pinzani M, Petta S, Berzigotti A, Metrakos P, Shoukry N, Brunt EM, Tang A, Cobbold JF, Ekoe JM, Seto K, Ghali P, Chevalier S, Anstee QM, Watson H, Bajaj H, Stone J, Swain MG, Ramji A. Current considerations for clinical management and care of non-alcoholic fatty liver disease: Insights from the 1st International Workshop of the Canadian NASH Network (CanNASH). CANADIAN LIVER JOURNAL 2022; 5:61-90. [PMID: 35990786 PMCID: PMC9231423 DOI: 10.3138/canlivj-2021-0030] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 09/07/2021] [Indexed: 08/30/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) affects approximately 8 million Canadians. NAFLD refers to a disease spectrum ranging from bland steatosis to non-alcoholic steatohepatitis (NASH). Nearly 25% of patients with NAFLD develop NASH, which can progress to liver cirrhosis and related end-stage complications. Type 2 diabetes and obesity represent the main risk factors for the disease. The Canadian NASH Network is a national collaborative organization of health care professionals and researchers with a primary interest in enhancing understanding, care, education, and research around NAFLD, with a vision of best practices for this disease state. At the 1st International Workshop of the CanNASH network in April 2021, a joint event with the single topic conference of the Canadian Association for the Study of the Liver (CASL), clinicians, epidemiologists, basic scientists, and community members came together to share their work under the theme of NASH. This symposium also marked the initiation of collaborations between Canadian and other key opinion leaders in the field representative of international liver associations. The main objective is to develop a policy framework that outlines specific targets, suggested activities, and evidence-based best practices to guide provincial, territorial, and federal organizations in developing multidisciplinary models of care and strategies to address this epidemic.
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Affiliation(s)
- Giada Sebastiani
- Division of Gastroenterology and Hepatology, Royal Victoria Hospital, McGill University Health Centre, Montréal, Québec, Canada
| | - Keyur Patel
- Toronto Centre for Liver Disease, Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Vlad Ratziu
- Assistance Publique-Hôpitaux de Paris, Hôpital Pitié Salpêtrière, Sorbonne University, Paris, France
| | - Jordan J Feld
- Toronto Centre for Liver Disease, Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada
| | | | - Massimo Pinzani
- UCL Institute for Liver and Digestive Health, Division of Medicine - Royal Free Hospital, London, UK
| | - Salvatore Petta
- Section of Gastroenterology and Hepatology, PROMISE, Università di Palermo, Palermo, Italy
| | - Annalisa Berzigotti
- Hepatology, University Clinic for Visceral Surgery and Medicine, Inselspital, University Hospital of Bern, University of Bern, Switzerland
| | - Peter Metrakos
- Cancer Research Program, McGill University Health Centre Research Institute, Montréal, Québec, Canada
| | - Naglaa Shoukry
- Centre de Recherche du Centre hospitalier de l'Université de Montréal, Montréal, Québec, Canada
| | | | - An Tang
- Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), Québec, Canada
| | - Jeremy F Cobbold
- Department of Gastroenterology, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Jean-Marie Ekoe
- Montreal Institute for Clinical Research, Division of Endocrinology and Department of Nutrition, Université de Montréal, Montréal, Québec, Canada
| | - Karen Seto
- Canadian Liver Foundation, Markham, Ontario, Canada
| | - Peter Ghali
- University of Florida, Gainesville, Florida, USA
| | | | - Quentin M Anstee
- Translational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | | | - Harpreet Bajaj
- LMC Diabetes and Endocrinology, Brampton, Ontario, Canada
| | - James Stone
- Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Mark G Swain
- Calgary Liver Unit, Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Alnoor Ramji
- Division of Gastroenterology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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14
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Haas ME, Pirruccello JP, Friedman SN, Wang M, Emdin CA, Ajmera VH, Simon TG, Homburger JR, Guo X, Budoff M, Corey KE, Zhou AY, Philippakis A, Ellinor PT, Loomba R, Batra P, Khera AV. Machine learning enables new insights into genetic contributions to liver fat accumulation. CELL GENOMICS 2021; 1:100066. [PMID: 34957434 PMCID: PMC8699145 DOI: 10.1016/j.xgen.2021.100066] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Excess liver fat, called hepatic steatosis, is a leading risk factor for end-stage liver disease and cardiometabolic diseases but often remains undiagnosed in clinical practice because of the need for direct imaging assessments. We developed an abdominal MRI-based machine-learning algorithm to accurately estimate liver fat (correlation coefficients, 0.97-0.99) from a truth dataset of 4,511 middle-aged UK Biobank participants, enabling quantification in 32,192 additional individuals. 17% of participants had predicted liver fat levels indicative of steatosis, and liver fat could not have been reliably estimated based on clinical factors such as BMI. A genome-wide association study of common genetic variants and liver fat replicated three known associations and identified five newly associated variants in or near the MTARC1, ADH1B, TRIB1, GPAM, and MAST3 genes (p < 3 × 10-8). A polygenic score integrating these eight genetic variants was strongly associated with future risk of chronic liver disease (hazard ratio > 1.32 per SD score, p < 9 × 10-17). Rare inactivating variants in the APOB or MTTP genes were identified in 0.8% of individuals with steatosis and conferred more than 6-fold risk (p < 2 × 10-5), highlighting a molecular subtype of hepatic steatosis characterized by defective secretion of apolipoprotein B-containing lipoproteins. We demonstrate that our imaging-based machine-learning model accurately estimates liver fat and may be useful in epidemiological and genetic studies of hepatic steatosis.
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Affiliation(s)
- Mary E. Haas
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Molecular Biology, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - James P. Pirruccello
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Medicine, Harvard Medical School, Boston, MA 02114, USA,Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA,Machine Learning for Health, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Samuel N. Friedman
- Machine Learning for Health, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Minxian Wang
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Connor A. Emdin
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Medicine, Harvard Medical School, Boston, MA 02114, USA
| | - Veeral H. Ajmera
- NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, CA 92103, USA
| | - Tracey G. Simon
- Department of Medicine, Harvard Medical School, Boston, MA 02114, USA,Liver Center, Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Xiuqing Guo
- The Lundquist Institute for Biomedical Innovation and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Matthew Budoff
- The Lundquist Institute for Biomedical Innovation and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Kathleen E. Corey
- Department of Medicine, Harvard Medical School, Boston, MA 02114, USA,Liver Center, Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Anthony Philippakis
- Machine Learning for Health, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Eric and Wendy Schmidt Center, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Patrick T. Ellinor
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Medicine, Harvard Medical School, Boston, MA 02114, USA,Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA,Machine Learning for Health, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Rohit Loomba
- NAFLD Research Center, Department of Medicine, University of California San Diego, La Jolla, CA 92103, USA
| | - Puneet Batra
- Machine Learning for Health, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Amit V. Khera
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA,Department of Medicine, Harvard Medical School, Boston, MA 02114, USA,Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA,Machine Learning for Health, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Corresponding author
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15
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Vilar-Gomez E, Pirola CJ, Sookoian S, Wilson LA, Liang T, Chalasani N. The Protection Conferred by HSD17B13 rs72613567 Polymorphism on Risk of Steatohepatitis and Fibrosis May Be Limited to Selected Subgroups of Patients With NAFLD. Clin Transl Gastroenterol 2021; 12:e00400. [PMID: 34506332 PMCID: PMC8437218 DOI: 10.14309/ctg.0000000000000400] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 08/05/2021] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Our study aimed to explore how PNPLA3 rs738409 or phenotypic risk factors may moderate the relationship between HSD17B13 rs72613567 and risk of steatohepatitis and fibrosis. METHODS This analysis consisted of 1,153 non-Hispanic whites with biopsy-proven nonalcoholic fatty liver disease enrolled in the nonalcoholic steatohepatitis Clinical Research Network studies. Nonalcoholic fatty liver disease severity was determined by liver histology scored centrally according to the nonalcoholic steatohepatitis Clinical Research Network criteria. Moderation and logistic regression analyses were performed to identify the influence of moderators (PNPLA3 rs738409, age, sex, body mass index, and diabetes) on the relationship between HSD17B13 rs72613567 and risk of steatohepatitis and fibrosis. RESULTS HSD17B13 rs72613567 genotype frequency was as follows: (-/-), 64%; (-/A), 30%; (A/A), 6%. Moderation analysis showed that the protective effect of HSD17B13 rs72613567 A-allele on risk of steatohepatitis remained only significant among patients with PNPLA3 rs738409 genotype CC (β coeff: -0.19, P = 0.019), women (β coeff: -0.18, P < 0.001), patients of age ≥ 45 years (β coeff: -0.18, P < 0.001), patients with body mass index ≥ 35 kg/m2 (β coeff: -0.17, P < 0.001), and patients with diabetes (β coeff: -0.18, P = 0.020). Among women, the protective effect of HSD17B131 rs72613567 A-allele on risk of steatohepatitis was stronger in those aged ≥ 51 years. Logistic regression-based sensitivity analysis including various important subgroups confirmed our observations. DISCUSSION The protection conferred by HSD17B13 rs72613567 A-allele on risk of steatohepatitis and fibrosis may be limited to selected subgroups of individuals who are aged ≥ 45 years, women and have class ≥ 2 obesity or diabetes, and those with PNPLA3 rs738409 CC genotype.
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Affiliation(s)
- Eduardo Vilar-Gomez
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Carlos J. Pirola
- Molecular Genetics and Biology of Complex Diseases, University of Buenos Aires-National Scientific and Technical Research Council (CONICET), Ciudad Autonoma de Buenos Aires, Argentina;
| | - Silvia Sookoian
- Department of Clinical and Molecular Hepatology, Institute of Medical Research (IDIM), University of Buenos Aires-National Scientific and Technical Research Council (CONICET), Ciudad Autonoma de Buenos Aires, Argentina
| | - Laura A. Wilson
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Tiebing Liang
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Naga Chalasani
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
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16
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Mazzolini G, Canbay A. Alcohol consumption leads to loss of healthy life, but the ADH1B*2 allele may still protect from NASH. Hepatobiliary Surg Nutr 2021; 10:391-393. [PMID: 34159172 DOI: 10.21037/hbsn-21-49] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Guillermo Mazzolini
- Gene Therapy Laboratory, Instituto de Investigaciones en Medicina Traslacional (IIMT), Universidad Austral-CONICET, Buenos Aires, Argentina.,Liver Unit, Hospital Universitario Austral, Universidad Austral, Buenos Aires, Argentina
| | - Ali Canbay
- Department of Internal Medicine, University Hospital Knappschaftskrankenhaus Bochum, Ruhr University Bochum, Bochum, Germany
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17
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Blomdahl J, Nasr P, Ekstedt M, Kechagias S. Moderate alcohol consumption is associated with advanced fibrosis in non-alcoholic fatty liver disease and shows a synergistic effect with type 2 diabetes mellitus. Metabolism 2021; 115:154439. [PMID: 33246008 DOI: 10.1016/j.metabol.2020.154439] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 10/28/2020] [Accepted: 11/19/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide. Whether moderate alcohol consumption plays a role for progression of NAFLD is disputed. Moreover, it is not known which tool is ideal for assessment of alcohol consumption in NAFLD. This study aimed to evaluate if moderate alcohol consumption assessed with different methods, including the biological marker phosphatidylethanol (PEth), is associated with advanced fibrosis in NAFLD. METHODS We conducted a cross-sectional study of patients with biopsy-proven NAFLD. All participants were clinically evaluated with medical history, blood tests, and anthropometric measurements. Alcohol consumption was assessed using PEth in blood, the questionnaire AUDIT-C, and clinical interview. FINDINGS 86 patients were included of which 17% had advanced fibrosis. All participants reported alcohol consumption < 140 g/week. Average weekly alcohol consumption was higher in the group with advanced fibrosis. Moderate alcohol consumption, independently of the method of assessment, was associated with increased probability of advanced fibrosis (adjusted OR 5.5-9.7, 95% CI 1.05-69.6). Patients with type 2 diabetes mellitus (T2DM) consuming moderate amounts of alcohol had a significantly higher rate of advanced fibrosis compared with those consuming low amounts (50.0-60.0% vs. 3.3-21.6%, p < 0.05). CONCLUSIONS Moderate alcohol consumption, irrespective of assessment method (clinical interview, AUDIT-C, and PEth), was associated with advanced fibrosis. PEth in blood ≥ 50 ng/mL may be a biological marker indicating increased risk for advanced fibrosis in NAFLD. Patients with T2DM consuming moderate amounts of alcohol had the highest risk of advanced fibrosis, indicating a synergistic effect of insulin resistance and alcohol on the histopathological progression of NAFLD.
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Affiliation(s)
- Julia Blomdahl
- Department of Gastroenterology and Hepatology, Department of Health, Medicine, and Caring Sciences, Linköping University, SE-581 83 Linköping, Sweden.
| | - Patrik Nasr
- Department of Gastroenterology and Hepatology, Department of Health, Medicine, and Caring Sciences, Linköping University, SE-581 83 Linköping, Sweden.
| | - Mattias Ekstedt
- Department of Gastroenterology and Hepatology, Department of Health, Medicine, and Caring Sciences, Linköping University, SE-581 83 Linköping, Sweden.
| | - Stergios Kechagias
- Department of Gastroenterology and Hepatology, Department of Health, Medicine, and Caring Sciences, Linköping University, SE-581 83 Linköping, Sweden.
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