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Bayram S, Ülger Y. Association of PNPLA3 rs738409 C > G and rs2896019 T > G Polymorphisms with Nonalcoholic Fatty Liver Disease in a Turkish Population from Adıyaman Province. Genet Test Mol Biomarkers 2025; 29:63-73. [PMID: 40101239 DOI: 10.1089/gtmb.2024.0481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2025] Open
Abstract
Objectives: The purpose of this study was to investigate the effect of patatin-like phospholipase domain-containing protein 3 (PNPLA3) rs738409 C > G and rs2896019 T > G polymorphisms on genetic susceptibility to nonalcoholic fatty liver disease (NAFLD) in a Turkish population from Adıyaman province, located in the Southeast Anatolia Region of Turkey. Materials and Methods: This hospital-based molecular epidemiological case-control study analyzed the PNPLA3 rs738409 C > G and rs2896019 T > G polymorphisms in 335 NAFLD cases and 410 healthy controls. Genotype frequencies were determined using real-time polymerase chain reaction with the TaqMan assay. The association with NAFLD susceptibility was evaluated by calculating odds ratios (ORs) and 95% confidence intervals (CIs) using an unconditional logistic regression model. Results: We found that the PNPLA3 rs738409 C > G (CC vs. GG: OR = 1.90, 95% CI = 1.05-3.44) and rs2896019 T > G (TT vs. GG: OR = 3.24, 95% CI = 1.44-7.27) polymorphisms were linked to an increased risk of NAFLD in almost all genetic models (p < 0.05). In addition, the PNPLA3 Grs738409/Grs2896019 haplotype was associated with NAFLD development (p < 0.05). Significant differences in alanine aminotransferase and aspartate aminotransferase enzyme levels were observed across the genotypes of these polymorphisms (p < 0.05). Conclusion: This is the first study on PNPLA3 single nucleotide polymorphisms (SNPs) and NAFLD in the Turkish population of Adıyaman Province, Southeast Anatolia. Our findings suggest that the PNPLA3 rs738409 C > G and rs2896019 T > G polymorphisms, along with their haplotypes, may influence NAFLD susceptibility. Further independent studies with larger sample sizes and diverse populations are needed to confirm these results.
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Affiliation(s)
- Süleyman Bayram
- Faculty of Health Sciences, Department of Public Health Nursing, Adıyaman University, Adıyaman, Turkey
| | - Yakup Ülger
- Faculty of Medicine, Department of Gastroenterology, Çukurova University, Adana, Turkey
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Ha EK, Shriner D, Callier SL, Riley L, Adeyemo AA, Rotimi CN, Bentley AR. Native Hawaiian and Pacific Islander populations in genomic research. NPJ Genom Med 2024; 9:45. [PMID: 39349931 PMCID: PMC11442686 DOI: 10.1038/s41525-024-00428-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 09/06/2024] [Indexed: 10/04/2024] Open
Abstract
The role of genomic research and medicine in improving health continues to grow significantly, highlighting the need for increased equitable inclusion of diverse populations in genomics. Native Hawaiian and Pacific Islander (NHPI) communities are often missing from these efforts to ensure that the benefits of genomics are accessible to all individuals. In this article, we analyze the qualities of NHPI populations relevant to their inclusion in genomic research and investigate their current representation using data from the genome-wide association studies (GWAS) catalog. A discussion of the barriers NHPI experience regarding participating in research and recommendations to improve NHPI representation in genomic research are also included.
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Affiliation(s)
- Edra K Ha
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- University of Hawai'i at Mānoa, Honolulu, HI, USA
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shawneequa L Callier
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Clinical Research and Leadership, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | | | - Adebowale A Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
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3
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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: 76] [Impact Index Per Article: 38.0] [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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Sangaramoorthy M, Yang J, Tseng C, Wu J, Ritz B, Larson TV, Fruin S, Stram DO, Park SSL, Franke AA, Wilkens LR, Samet JM, Le Marchand L, Shariff-Marco S, Haiman CA, Wu AH, Cheng I. Particulate matter, traffic-related air pollutants, and circulating C-reactive protein levels: The Multiethnic Cohort Study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 332:121962. [PMID: 37277070 PMCID: PMC10870935 DOI: 10.1016/j.envpol.2023.121962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 06/01/2023] [Accepted: 06/02/2023] [Indexed: 06/07/2023]
Abstract
Inhaled particles and gases can harm health by promoting chronic inflammation in the body. Few studies have investigated the relationship between outdoor air pollution and inflammation by race and ethnicity, socioeconomic status, and lifestyle risk factors. We examined associations of particulate matter (PM) and other markers of traffic-related air pollution with circulating levels of C-reactive protein (CRP), a biomarker of systemic inflammation. CRP was measured from blood samples obtained in 1994-2016 from 7,860 California residents participating in the Multiethnic Cohort (MEC) Study. Exposure to PM (aerodynamic diameter ≤2.5 μm [PM2.5], ≤10 μm [PM10], and between 2.5 and 10 μm [PM10-2.5]), nitrogen oxides (NOx, including nitrogen dioxide [NO2]), carbon monoxide (CO), ground-level ozone (O3), and benzene averaged over one or twelve months before blood draw were estimated based on participants' addresses. Percent change in geometric mean CRP levels and 95% confidence intervals (CI) per standard concentration increase of each pollutant were estimated using multivariable generalized linear regression. Among 4,305 females (55%) and 3,555 males (45%) (mean age 68.1 [SD 7.5] years at blood draw), CRP levels increased with 12-month exposure to PM10 (11.0%, 95% CI: 4.2%, 18.2% per 10 μg/m3), PM10-2.5 (12.4%, 95% CI: 1.4%, 24.5% per 10 μg/m3), NOx (10.4%, 95% CI: 2.2%, 19.2% per 50 ppb), and benzene (2.9%, 95% CI: 1.1%, 4.6% per 1 ppb). In subgroup analyses, these associations were observed in Latino participants, those who lived in low socioeconomic neighborhoods, overweight or obese participants, and never or former smokers. No consistent patterns were found for 1-month pollutant exposures. This investigation identified associations of primarily traffic-related air pollutants, including PM, NOx, and benzene, with CRP in a multiethnic population. The diversity of the MEC across demographic, socioeconomic, and lifestyle factors allowed us to explore the generalizability of the effects of air pollution on inflammation across subgroups.
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Affiliation(s)
- Meera Sangaramoorthy
- Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Juan Yang
- Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Chiuchen Tseng
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jun Wu
- Department of Environmental and Occupational Health, Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, CA, USA
| | - Beate Ritz
- Department of Epidemiology, School of Public Health, University of California, Los Angeles, CA, USA
| | - Timothy V Larson
- Department of Civil & Environmental Engineering, University of Washington, Seattle, WA, USA
| | - Scott Fruin
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Daniel O Stram
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sung-Shim Lani Park
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Adrian A Franke
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Lynne R Wilkens
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Jonathan M Samet
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Loïc Le Marchand
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Salma Shariff-Marco
- Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Christopher A Haiman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Anna H Wu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, San Francisco, CA, USA.
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Buchynskyi M, Oksenych V, Kamyshna I, Vari SG, Kamyshnyi A. Genetic Predictors of Comorbid Course of COVID-19 and MAFLD: A Comprehensive Analysis. Viruses 2023; 15:1724. [PMID: 37632067 PMCID: PMC10459448 DOI: 10.3390/v15081724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 07/26/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023] Open
Abstract
Metabolic-associated fatty liver disease (MAFLD) and its potential impact on the severity of COVID-19 have gained significant attention during the pandemic. This review aimed to explore the genetic determinants associated with MAFLD, previously recognized as non-alcoholic fatty liver disease (NAFLD), and their potential influence on COVID-19 outcomes. Various genetic polymorphisms, including PNPLA3 (rs738409), GCKR (rs780094), TM6SF2 (rs58542926), and LYPLAL1 (rs12137855), have been investigated in relation to MAFLD susceptibility and progression. Genome-wide association studies and meta-analyses have revealed associations between these genetic variants and MAFLD risk, as well as their effects on lipid metabolism, glucose regulation, and liver function. Furthermore, emerging evidence suggests a possible connection between these MAFLD-associated polymorphisms and the severity of COVID-19. Studies exploring the association between indicated genetic variants and COVID-19 outcomes have shown conflicting results. Some studies observed a potential protective effect of certain variants against severe COVID-19, while others reported no significant associations. This review highlights the importance of understanding the genetic determinants of MAFLD and its potential implications for COVID-19 outcomes. Further research is needed to elucidate the precise mechanisms linking these genetic variants to disease severity and to develop gene profiling tools for the early prediction of COVID-19 outcomes. If confirmed as determinants of disease severity, these genetic polymorphisms could aid in the identification of high-risk individuals and in improving the management of COVID-19.
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Affiliation(s)
- Mykhailo Buchynskyi
- Department of Microbiology, Virology, and Immunology, I. Horbachevsky Ternopil National Medical University, 46001 Ternopil, Ukraine
| | - Valentyn Oksenych
- Broegelmann Research Laboratory, Department of Clinical Science, University of Bergen, 5020 Bergen, Norway
| | - Iryna Kamyshna
- Department of Medical Rehabilitation, I. Horbachevsky Ternopil National Medical University, 46001 Ternopil, Ukraine
| | - Sandor G. Vari
- International Research and Innovation in Medicine Program, Cedars–Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Aleksandr Kamyshnyi
- Department of Microbiology, Virology, and Immunology, I. Horbachevsky Ternopil National Medical University, 46001 Ternopil, Ukraine
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Streicher SA, Lim U, Park SL, Li Y, Sheng X, Hom V, Xia L, Pooler L, Shepherd J, Loo LWM, Ernst T, Buchthal S, Franke AA, Tiirikainen M, Wilkens LR, Haiman CA, Stram DO, Cheng I, Le Marchand L. Genome-wide association study of abdominal MRI-measured visceral fat: The multiethnic cohort adiposity phenotype study. PLoS One 2023; 18:e0279932. [PMID: 36607984 PMCID: PMC9821421 DOI: 10.1371/journal.pone.0279932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 12/16/2022] [Indexed: 01/07/2023] Open
Abstract
Few studies have explored the genetic underpinnings of intra-abdominal visceral fat deposition, which varies substantially by sex and race/ethnicity. Among 1,787 participants in the Multiethnic Cohort (MEC)-Adiposity Phenotype Study (MEC-APS), we conducted a genome-wide association study (GWAS) of the percent visceral adiposity tissue (VAT) area out of the overall abdominal area, averaged across L1-L5 (%VAT), measured by abdominal magnetic resonance imaging (MRI). A genome-wide significant signal was found on chromosome 2q14.3 in the sex-combined GWAS (lead variant rs79837492: Beta per effect allele = -4.76; P = 2.62 × 10-8) and in the male-only GWAS (lead variant rs2968545: (Beta = -6.50; P = 1.09 × 10-9), and one suggestive variant was found at 13q12.11 in the female-only GWAS (rs79926925: Beta = 6.95; P = 8.15 × 10-8). The negatively associated variants were most common in European Americans (T allele of rs79837492; 5%) and African Americans (C allele of rs2968545; 5%) and not observed in Japanese Americans, whereas the positively associated variant was most common in Japanese Americans (C allele of rs79926925, 5%), which was all consistent with the racial/ethnic %VAT differences. In a validation step among UK Biobank participants (N = 23,699 of mainly British and Irish ancestry) with MRI-based VAT volume, both rs79837492 (Beta = -0.026, P = 0.019) and rs2968545 (Beta = -0.028, P = 0.010) were significantly associated in men only (n = 11,524). In the MEC-APS, the association between rs79926925 and plasma sex hormone binding globulin levels reached statistical significance in females, but not in males, with adjustment for total adiposity (Beta = -0.24; P = 0.028), on the log scale. Rs79837492 and rs2968545 are located in intron 5 of CNTNAP5, and rs79926925, in an intergenic region between GJB6 and CRYL1. These novel findings differing by sex and racial/ethnic group warrant replication in additional diverse studies with direct visceral fat measurements.
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Affiliation(s)
- Samantha A. Streicher
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Unhee Lim
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - S. Lani Park
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Yuqing Li
- Department of Epidemiology and Biostatistics, University of California–San Francisco, San Francisco, California, United States of America
| | - Xin Sheng
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Victor Hom
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Lucy Xia
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Loreall Pooler
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - John Shepherd
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Lenora W. M. Loo
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Thomas Ernst
- University of Maryland School of Medicine, Baltimore, Maryland, United States of America
| | - Steven Buchthal
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Adrian A. Franke
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Maarit Tiirikainen
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Lynne R. Wilkens
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Christopher A. Haiman
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Daniel O. Stram
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California–San Francisco, San Francisco, California, United States of America
| | - Loïc Le Marchand
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
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Sulaiman SA, Dorairaj V, Adrus MNH. Genetic Polymorphisms and Diversity in Nonalcoholic Fatty Liver Disease (NAFLD): A Mini Review. Biomedicines 2022; 11:106. [PMID: 36672614 PMCID: PMC9855725 DOI: 10.3390/biomedicines11010106] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 12/13/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a common liver disease with a wide spectrum of liver conditions ranging from hepatic steatosis to nonalcoholic steatohepatitis (NASH), fibrosis, cirrhosis, and hepatocellular carcinoma. The prevalence of NAFLD varies across populations, and different ethnicities have specific risks for the disease. NAFLD is a multi-factorial disease where the genetics, metabolic, and environmental factors interplay and modulate the disease's development and progression. Several genetic polymorphisms have been identified and are associated with the disease risk. This mini-review discussed the NAFLD's genetic polymorphisms and focusing on the differences in the findings between the populations (diversity), including of those reports that did not show any significant association. The challenges of genetic diversity are also summarized. Understanding the genetic contribution of NAFLD will allow for better diagnosis and management explicitly tailored for the various populations.
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Affiliation(s)
- Siti Aishah Sulaiman
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia (UKM), Jalan Yaa’cob Latiff, Cheras, Kuala Lumpur 56000, Malaysia; (V.D.); (M.N.H.A.)
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8
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Park J, MacLean MT, Lucas AM, Torigian DA, Schneider CV, Cherlin T, Xiao B, Miller JE, Bradford Y, Judy RL, Verma A, Damrauer SM, Ritchie MD, Witschey WR, Rader DJ. Exome-wide association analysis of CT imaging-derived hepatic fat in a medical biobank. Cell Rep Med 2022; 3:100855. [PMID: 36513072 PMCID: PMC9798024 DOI: 10.1016/j.xcrm.2022.100855] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 08/22/2022] [Accepted: 11/17/2022] [Indexed: 12/14/2022]
Abstract
Nonalcoholic fatty liver disease is common and highly heritable. Genetic studies of hepatic fat have not sufficiently addressed non-European and rare variants. In a medical biobank, we quantitate hepatic fat from clinical computed tomography (CT) scans via deep learning in 10,283 participants with whole-exome sequences available. We conduct exome-wide associations of single variants and rare predicted loss-of-function (pLOF) variants with CT-based hepatic fat and perform cross-modality replication in the UK Biobank (UKB) by linking whole-exome sequences to MRI-based hepatic fat. We confirm single variants previously associated with hepatic fat and identify several additional variants, including two (FGD5 H600Y and CITED2 S198_G199del) that replicated in UKB. A burden of rare pLOF variants in LMF2 is associated with increased hepatic fat and replicates in UKB. Quantitative phenotypes generated from clinical imaging studies and intersected with genomic data in medical biobanks have the potential to identify molecular pathways associated with human traits and disease.
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Affiliation(s)
- Joseph Park
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Matthew T MacLean
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anastasia M Lucas
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Drew A Torigian
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Carolin V Schneider
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tess Cherlin
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Brenda Xiao
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jason E Miller
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yuki Bradford
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Renae L Judy
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anurag Verma
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Scott M Damrauer
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Surgery, Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Marylyn D Ritchie
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Walter R Witschey
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel J Rader
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Association of PNPLA3 rs738409 and TM6SF2 rs58542926 Polymorphisms with Non-alcoholic Fatty Liver Disease in the Iranian Population. HEPATITIS MONTHLY 2022. [DOI: 10.5812/hepatmon-133330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/13/2023]
Abstract
Background: Non-alcoholic fatty liver disease (NAFLD) is a burgeoning health problem worldwide. Genetic predisposition increases susceptibility to NAFLD. The PNPLA3 rs738409 and TM6SF2 rs58542926 polymorphisms are genetic risk factors for NAFLD. Objectives: This study aimed to investigate the association of rs738409 and rs58542926 polymorphisms with NAFLD among the Iranian population in two groups: (1) Population-based NAFLD (PB-NAFLD), and (2) clinic-based NAFLD (CB-NAFLD). Methods: This case-control study included a group of healthy individuals without NAFLD as the control group and two case groups, PB-NAFLD and CB-NAFLD. All individuals underwent clinical and laboratory assessments and were also diagnosed using ultrasonography. Genotyping for rs738409 and rs58542926 polymorphisms was carried out by the PCR-RFLP method. Results: A total of 110 control, 108 PB-NAFLD, and 73 CB-NAFLD individuals were included in the study. The distribution of rs738409 GG+CG in the PB-NAFLD was 39.8% while it was 52.7% in the control group (P = 0.06, OR = 0.59). The distribution of rs738409 GG in the CB-NAFLD was 19.2%, while it was 8.2% in the control group (P = 0.04, OR = 2.66). The distribution of rs58542926 genotypes was not significantly different between the NAFLD and control groups. In multivariate analysis, metabolic syndrome (OR = 2.85) and BMI > 25 (OR = 3.32) were independent determinants of NAFLD in the PB-NAFLD group, and BMI > 25 (OR = 7.15) was an independent determinant of NAFLD in the CB-NAFLD group. Conclusions: In this study, the PNPLA3 rs738409 polymorphism was associated with NAFLD in the CB-NAFLD cohort; however, the same was not observed for the PB-NAFLD cohort. The TM6SF2 rs58542926 polymorphism was not associated with NAFLD in the Iranian population.
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Liao S, An K, Liu Z, He H, An Z, Su Q, Li S. Genetic variants associated with metabolic dysfunction-associated fatty liver disease in western China. J Clin Lab Anal 2022; 36:e24626. [PMID: 35881683 PMCID: PMC9459258 DOI: 10.1002/jcla.24626] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 06/21/2022] [Accepted: 07/13/2022] [Indexed: 02/05/2023] Open
Abstract
INTRODUCTION We aimed to confirm the association between some single nucleotide polymorphisms (SNPs) and metabolic dysfunction-associated fatty liver disease (MAFLD) in western China. METHODS A total of 286 cases and 250 healthy controls were enrolled in our study. All samples were genotyped for patatin-like phospholipase domain containing 3 (PNPLA3) rs738409, transmembrane 6 superfamily member 2 (TM6SF2) rs58542926, membrane-bound O-acyltransferase domain containing 7 (MBOAT7) rs641738, glucokinase regulator (GCKR) rs1260326 and rs780094, and GATA zinc finger domain containing 2A (GATAD2A) rs4808199. Using logistic regression analysis, we evaluated the association between MAFLD and each SNP under different models. Multiple linear regression was used to find the association between SNPs and laboratory characteristics. Multifactor dimensionality reduction was applied to test SNP-SNP interactions. RESULTS The recessive model and additive model of PNPLA3 rs738409 variant were related to MAFLD (odds ratio [OR] = 1.791 and 1.377, respectively, p = 0.038 and 0.027, respectively). However, after Benjamini-Hochberg adjustment for multiple tests, all associations were no longer statistically significant. PNPLA3 rs738409 correlated with AST levels. GCKR rs780094 and rs1260326 negatively correlated with serum glucose but positively correlated with triglycerides in MAFLD. Based on MDR analysis, the best single-locus and multilocus models for MAFLD risk were rs738409 and six-locus models, respectively. CONCLUSIONS In the Han population in western China, no association was found between these SNPs and the risk of MAFLD. PNPLA3 rs738409 was associated with aspartate aminotransferase levels in MAFLD patients. GCKR variants were associated with increased triglyceride levels and reduced serum fasting glucose in patients with MAFLD.
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Affiliation(s)
- Shenling Liao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Kang An
- Department of General Practice, West China Hospital, Sichuan University, Chengdu, China
| | - Zhi Liu
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - He He
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Zhenmei An
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Qiaoli Su
- Department of General Practice, West China Hospital, Sichuan University, Chengdu, China
| | - Shuangqing Li
- Department of General Practice, West China Hospital, Sichuan University, Chengdu, China
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11
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Zhou K, Dodge JL, Yuan L, Terrault NA. Metabolic Risk Profiles for Hepatic Steatosis Differ by Race/Ethnicity: An Elastography-Based Study of US Adults. Dig Dis Sci 2022; 67:3340-3355. [PMID: 34173916 DOI: 10.1007/s10620-021-07124-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 06/16/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND AIMS Most population-based studies of risk profiles for liver steatosis have relied upon serum markers (e.g., ALT or FIB-4) or ultrasound steatosis index to define cases. We sought to examine racial/ethnic differences in metabolic risk factors associated with liver steatosis and fibrosis at the population level using elastography-based measures. METHODS In total, 4509 adults completed vibration-controlled transient elastography (VCTE) with controlled attenuated parameter (CAP) examinations in the 2017-2018 National Health and Nutrition Examinations Survey. Race/ethnicity was self-identified; metabolic parameters included waist circumference, obesity, diabetes, hypertension, and hyperlipidemia. Primary outcome was steatosis defined by CAP score ≥ 280 decibels per meter and secondary outcome significant fibrosis by VCTE median stiffness ≥ 8 kilopascals. Race-specific logistic regression models were performed to assess the relationship between metabolic parameters and hepatic steatosis and fibrosis. RESULTS Prevalence of elastography-based hepatic steatosis was > 30% for all race/ethnicities. Steatosis was associated with increasing waist circumference for all race/ethnicities (OR ranging 1.7-2.3, p < 0.01). Steatosis was associated with diabetes for Whites (OR 2.4, 95% CI 1.2-4.7), Asians (OR 3.0, 1.4-6.3), and Hispanics (OR 2.2, 1.3-3.6), but not Blacks (OR 1.3, 0.8-2.2); hypertension for Whites (OR 1.7, 1.3-4.7) and Asians (OR 2.1, 1.1-3.8); and hyperlipidemia for Blacks only (OR 2.2, 1.3-3.7). Of metabolic risk factors, higher odds of fibrosis were demonstrated with higher waist circumference per 10 cm increase (OR 2.1, 1.8-2.4) and diabetes (OR 2.5, 1.6-3.7), but the effect of diabetes was present in all racial/ethnic groups except Blacks (p-interaction < 0.05). CONCLUSION Blacks have a distinct metabolic phenotype for steatosis, while Asians, Whites, and Hispanics are more similar. Racial/ethnic differences in risk profiles are important to consider in prevention, screening strategies, and interventions for fatty liver disease.
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Affiliation(s)
- Kali Zhou
- Division of Gastrointestinal and Liver Diseases, University of Southern California, 1450 San Pablo St. HC4, Room 3000, Los Angeles, CA, 90033, USA.
- Research Center for Liver Diseases, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
| | - Jennifer L Dodge
- Division of Gastrointestinal and Liver Diseases, University of Southern California, 1450 San Pablo St. HC4, Room 3000, Los Angeles, CA, 90033, USA
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Research Center for Liver Diseases, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Liyun Yuan
- Division of Gastrointestinal and Liver Diseases, University of Southern California, 1450 San Pablo St. HC4, Room 3000, Los Angeles, CA, 90033, USA
- Research Center for Liver Diseases, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Norah A Terrault
- Division of Gastrointestinal and Liver Diseases, University of Southern California, 1450 San Pablo St. HC4, Room 3000, Los Angeles, CA, 90033, USA
- Research Center for Liver Diseases, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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Wang J, Katsaros D, Biglia N, Fu Y, Benedetto C, Loo L, Wang Z, Yu H. LncRNA ZNF582-AS1 Expression and Methylation in Breast Cancer and Its Biological and Clinical Implications. Cancers (Basel) 2022; 14:2788. [PMID: 35681777 PMCID: PMC9179509 DOI: 10.3390/cancers14112788] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/30/2022] [Accepted: 06/01/2022] [Indexed: 12/24/2022] Open
Abstract
Background: Long non-coding RNAs (lncRNAs) play an important role in cellular activities and functions, but our understanding of their involvement in cancer is limited. Methods: TCGA data on RNA expression and DNA methylation were analyzed for lncRNAs' association with breast cancer survival, using the Cox proportional hazard regression model. Fresh tumor samples and clinical information from 361 breast cancer patients in our study were used to confirm the TCGA finding on ZNF582-AS1. A RT-qPCR method was developed to measure ZNF582-AS1 expression. Survival associations with ZNF582-AS1 were verified with a meta-analysis. In silico predictions of molecular targets and cellular functions of ZNF582-AS1 were performed based on its molecular signatures and nucleotide sequences. Results:ZNF582-AS1 expression was lower in breast tumors than adjacent normal tissues. Low ZNF582-AS1 was associated with high-grade or ER-negative tumors. Patients with high ZNF582-AS1 had a lower risk of relapse and death. These survival associations were confirmed in a meta-analysis and remained significant after adjustment for tumor grade, disease stage, patient age, and hormone receptor status. Correlation analysis indicated the possible suppression of ZNF582-AS1 expression by promoter methylation. Bioinformatics interrogation of molecular signatures suggested that ZNF582-AS1 could suppress tumor cell proliferation via downregulating the HER2-mediated signaling pathway. Analysis of online data also suggested that HIF-1-related transcription factors could suppress ZNF582-AS1 expression, and the lncRNA might bind to hsa-miR-940, a known oncogenic miRNA in breast cancer. Conclusions: ZNF582-AS1 may play a role in suppressing breast cancer progression. Elucidating the lncRNA's function and regulation may improve our understanding of the disease.
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Affiliation(s)
- Junlong Wang
- University of Hawaii Cancer Center, Honolulu, HI 96813, USA; (J.W.); (Y.F.); (L.L.); (Z.W.)
- Department of Molecular Biosciences & Bioengineering, University of Hawaii at Manoa, Honolulu, HI 96822, USA
| | - Dionyssios Katsaros
- Department of Surgical Sciences, Gynecology, AOU Città della Salute, University of Torino School of Medicine, 10124 Turin, Italy; (D.K.); (C.B.)
| | - Nicoletta Biglia
- Department of Surgical Sciences, Division of Obstetrics and Gynecology, University of Torino School of Medicine, Mauriziano Hospital, 10124 Turin, Italy;
| | - Yuanyuan Fu
- University of Hawaii Cancer Center, Honolulu, HI 96813, USA; (J.W.); (Y.F.); (L.L.); (Z.W.)
- Department of Molecular Biosciences & Bioengineering, University of Hawaii at Manoa, Honolulu, HI 96822, USA
| | - Chiara Benedetto
- Department of Surgical Sciences, Gynecology, AOU Città della Salute, University of Torino School of Medicine, 10124 Turin, Italy; (D.K.); (C.B.)
| | - Lenora Loo
- University of Hawaii Cancer Center, Honolulu, HI 96813, USA; (J.W.); (Y.F.); (L.L.); (Z.W.)
| | - Zhanwei Wang
- University of Hawaii Cancer Center, Honolulu, HI 96813, USA; (J.W.); (Y.F.); (L.L.); (Z.W.)
| | - Herbert Yu
- University of Hawaii Cancer Center, Honolulu, HI 96813, USA; (J.W.); (Y.F.); (L.L.); (Z.W.)
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Dietary Intake Mediates Ethnic Differences in Gut Microbial Composition. Nutrients 2022; 14:nu14030660. [PMID: 35277019 PMCID: PMC8840192 DOI: 10.3390/nu14030660] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 02/01/2022] [Accepted: 02/03/2022] [Indexed: 11/16/2022] Open
Abstract
Background: The human gut microbiome (GM) has been observed to vary by race/ethnicity. Objective: Assess whether racial/ethnic GM variation is mediated by differences in diet. Design: Stool samples collected from 2013 to 2016 from 5267 healthy Multiethnic Cohort participants (age 59−98) were analyzed using 16S rRNA gene sequencing to estimate the relative abundance of 152 bacterial genera. For 63 prevalent genera (>50% in each ethnic group), we analyzed the mediation of GM differences among African Americans, Japanese Americans, Latinos, Native Hawaiians, and Whites by overall diet quality (Healthy Eating Index score (HEI-2015)) and intake amounts of 14 component foods/nutrients assessed from 2003 to 2008. For each significant mediation (p < 1.3 × 10−5), we determined the percent of the total ethnicity effect on genus abundance mediated by the dietary factor. Results: Ethnic differences in the abundance of 12 genera were significantly mediated by one or more of eight dietary factors, most frequently by overall diet quality and intakes of vegetables and red meat. Lower vegetable intake mediated differences in Lachnospira (36% in African Americans, 39% in Latinos) and Ruminococcus-1 (−35% in African Americans, −43% in Latinos) compared to Native Hawaiians who consumed the highest amount. Higher red meat intake mediated differences in Lachnospira (−41%) and Ruminococcus-1 (36%) in Native Hawaiians over African Americans, who consumed the least. Dairy and alcohol intakes appeared to mediate and counterbalance the difference in Bifidobacterium between Whites and Japanese Americans. Conclusions: Overall diet quality and component food intakes may contribute to ethnic differences in GM composition and to GM-related racial/ethnic health disparities.
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Fairfield CJ, Drake TM, Pius R, Bretherick AD, Campbell A, Clark DW, Fallowfield JA, Hayward C, Henderson NC, Joshi PK, Mills NL, Porteous DJ, Ramachandran P, Semple RK, Shaw CA, Sudlow CL, Timmers PR, Wilson JF, Wigmore SJ, Harrison EM, Spiliopoulou A. Genome-Wide Association Study of NAFLD Using Electronic Health Records. Hepatol Commun 2022; 6:297-308. [PMID: 34535985 PMCID: PMC8793997 DOI: 10.1002/hep4.1805] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 07/04/2021] [Indexed: 12/20/2022] Open
Abstract
Genome-wide association studies (GWAS) have identified several risk loci for nonalcoholic fatty liver disease (NAFLD). Previous studies have largely relied on small sample sizes and have assessed quantitative traits. We performed a case-control GWAS in the UK Biobank using recorded diagnosis of NAFLD based on diagnostic codes recommended in recent consensus guidelines. We performed a GWAS of 4,761 cases of NAFLD and 373,227 healthy controls without evidence of NAFLD. Sensitivity analyses were performed excluding other co-existing hepatic pathology, adjusting for body mass index (BMI) and adjusting for alcohol intake. A total of 9,723,654 variants were assessed by logistic regression adjusted for age, sex, genetic principal components, and genotyping batch. We performed a GWAS meta-analysis using available summary association statistics. Six risk loci were identified (P < 5*10-8 ) (apolipoprotein E [APOE], patatin-like phospholipase domain containing 3 [PNPLA3, transmembrane 6 superfamily member 2 [TM6SF2], glucokinase regulator [GCKR], mitochondrial amidoxime reducing component 1 [MARC1], and tribbles pseudokinase 1 [TRIB1]). All loci retained significance in sensitivity analyses without co-existent hepatic pathology and after adjustment for BMI. PNPLA3 and TM6SF2 remained significant after adjustment for alcohol (alcohol intake was known in only 158,388 individuals), with others demonstrating consistent direction and magnitude of effect. All six loci were significant on meta-analysis. Rs429358 (P = 2.17*10-11 ) is a missense variant within the APOE gene determining ϵ4 versus ϵ2/ϵ3 alleles. The ϵ4 allele of APOE offered protection against NAFLD (odds ratio for heterozygotes 0.84 [95% confidence interval 0.78-0.90] and homozygotes 0.64 [0.50-0.79]). Conclusion: This GWAS replicates six known NAFLD-susceptibility loci and confirms that the ϵ4 allele of APOE is associated with protection against NAFLD. The results are consistent with published GWAS using histological and radiological measures of NAFLD, confirming that NAFLD identified through diagnostic codes from consensus guidelines is a valid alternative to more invasive and costly approaches.
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Affiliation(s)
- Cameron J. Fairfield
- Centre for Medical InformaticsUsher InstituteUniversity of EdinburghEdinburghScotland
| | - Thomas M. Drake
- Centre for Medical InformaticsUsher InstituteUniversity of EdinburghEdinburghScotland
| | - Riinu Pius
- Centre for Medical InformaticsUsher InstituteUniversity of EdinburghEdinburghScotland
| | - Andrew D. Bretherick
- MRC Human Genetics UnitInstitute of Genetics and CancerUniversity of EdinburghEdinburghScotland
| | - Archie Campbell
- Centre for Medical InformaticsUsher InstituteUniversity of EdinburghEdinburghScotland
- Centre for Genomic and Experimental MedicineInstitute of Genetics & Molecular MedicineUniversity of EdinburghEdinburghScotland
- Health Data Research UKUniversity of EdinburghEdinburghScotland
| | - David W. Clark
- Centre for Global Health ResearchUsher InstituteUniversity of EdinburghEdingburghScotland
| | - Jonathan A. Fallowfield
- Centre for Inflammation ResearchQueen’s Medical Research InstituteUniversity of EdinburghEdingburghScotland
| | - Caroline Hayward
- MRC Human Genetics UnitInstitute of Genetics and CancerUniversity of EdinburghEdinburghScotland
| | - Neil C. Henderson
- Centre for Inflammation ResearchQueen’s Medical Research InstituteUniversity of EdinburghEdingburghScotland
| | - Peter K. Joshi
- Centre for Global Health ResearchUsher InstituteUniversity of EdinburghEdingburghScotland
| | - Nicholas L. Mills
- Centre for Cardiovascular ScienceQueen’s Medical Research InstituteUniversity of EdinburghEdingburghScotland
| | - David J. Porteous
- Centre for Genomic and Experimental MedicineInstitute of Genetics & Molecular MedicineUniversity of EdinburghEdinburghScotland
| | - Prakash Ramachandran
- Centre for Inflammation ResearchQueen’s Medical Research InstituteUniversity of EdinburghEdingburghScotland
| | - Robert K. Semple
- Centre for Cardiovascular ScienceQueen’s Medical Research InstituteUniversity of EdinburghEdingburghScotland
| | - Catherine A. Shaw
- Centre for Medical InformaticsUsher InstituteUniversity of EdinburghEdinburghScotland
| | - Cathie L.M. Sudlow
- Centre for Medical InformaticsUsher InstituteUniversity of EdinburghEdinburghScotland
| | - Paul R.H.J. Timmers
- MRC Human Genetics UnitInstitute of Genetics and CancerUniversity of EdinburghEdinburghScotland
- Centre for Global Health ResearchUsher InstituteUniversity of EdinburghEdingburghScotland
| | - James F. Wilson
- MRC Human Genetics UnitInstitute of Genetics and CancerUniversity of EdinburghEdinburghScotland
- Centre for Global Health ResearchUsher InstituteUniversity of EdinburghEdingburghScotland
| | - Stephen J. Wigmore
- Department of Clinical SurgeryDivision of Health SciencesUniversity of EdinburghEdingburghScotland
| | - Ewen M. Harrison
- Centre for Medical InformaticsUsher InstituteUniversity of EdinburghEdinburghScotland
- Department of Clinical SurgeryDivision of Health SciencesUniversity of EdinburghEdingburghScotland
| | - Athina Spiliopoulou
- Centre for Global Health ResearchUsher InstituteUniversity of EdinburghEdingburghScotland
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15
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Devi J, Raees A, Butt AS. Redefining non-alcoholic fatty liver disease to metabolic associated fatty liver disease: Is this plausible? World J Hepatol 2022; 14:158-167. [PMID: 35126845 PMCID: PMC8790389 DOI: 10.4254/wjh.v14.i1.158] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Revised: 06/17/2021] [Accepted: 12/22/2021] [Indexed: 02/06/2023] Open
Abstract
Recently, a single letter change has taken the world by storm. A group of experts have developed a consensus to upgrade the term non-alcoholic fatty liver disease (NAFLD) to metabolic associated fatty liver disease (MAFLD), suggesting that MAFLD would more accurately reflect not only the disease pathogenesis but would also help in patient stratification for management with NAFLD. However, the difference of opinion exists, which has made the NAFLD vs MAFLD debate the current talk of the town. This review will focus on the plausibility and implications of redefining NAFLD as MAFLD.
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Affiliation(s)
- Jalpa Devi
- Department of Gastroenterology, Liaquat University of Medical and Health Sciences, Jamshoro 74800, Pakistan
| | - Aimun Raees
- Department of Gastroenterology, Aga Khan University Hospital, Karachi 74800, Pakistan
| | - Amna Subhan Butt
- Department of Gastroenterology, Aga Khan University Hospital, Karachi 74800, Pakistan.
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16
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Song MA, Seffernick AE, Archer KJ, Mori KM, Park SY, Chang L, Ernst T, Tiirikainen M, Peplowska K, Wilkens LR, Le Marchand L, Lim U. Race/ethnicity-associated blood DNA methylation differences between Japanese and European American women: an exploratory study. Clin Epigenetics 2021; 13:188. [PMID: 34635168 PMCID: PMC8507376 DOI: 10.1186/s13148-021-01171-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 08/25/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Racial/ethnic disparities in health reflect a combination of genetic and environmental causes, and DNA methylation may be an important mediator. We compared in an exploratory manner the blood DNA methylome of Japanese Americans (JPA) versus European Americans (EUA). METHODS Genome-wide buffy coat DNA methylation was profiled among healthy Multiethnic Cohort participant women who were Japanese (JPA; n = 30) or European (EUA; n = 28) Americans aged 60-65. Differentially methylated CpGs by race/ethnicity (DM-CpGs) were identified by linear regression (Bonferroni-corrected P < 0.1) and analyzed in relation to corresponding gene expression, a priori selected single nucleotide polymorphisms (SNPs), and blood biomarkers of inflammation and metabolism using Pearson or Spearman correlations (FDR < 0.1). RESULTS We identified 174 DM-CpGs with the majority of hypermethylated in JPA compared to EUA (n = 133), often in promoter regions (n = 48). Half (51%) of the genes corresponding to the DM-CpGs were involved in liver function and liver disease, and the methylation in nine genes was significantly correlated with gene expression for DM-CpGs. A total of 156 DM-CpGs were associated with rs7489665 (SH2B1). Methylation of DM-CpGs was correlated with blood levels of the cytokine MIP1B (n = 146). We confirmed some of the DM-CpGs in the TCGA adjacent non-tumor liver tissue of Asians versus EUA. CONCLUSION We found a number of differentially methylated CpGs in blood DNA between JPA and EUA women with a potential link to liver disease, specific SNPs, and systemic inflammation. These findings may support further research on the role of DNA methylation in mediating some of the higher risk of liver disease among JPA.
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Affiliation(s)
- Min-Ae Song
- Division of Environmental Health Science, College of Public Health, The Ohio State University, 404 Cunz Hall, 1841 Neil Ave., Columbus, OH, 43210, USA.
| | - Anna Eames Seffernick
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Kellie J Archer
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Kellie M Mori
- Division of Environmental Health Science, College of Public Health, The Ohio State University, 404 Cunz Hall, 1841 Neil Ave., Columbus, OH, 43210, USA
| | - Song-Yi Park
- Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Linda Chang
- School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Thomas Ernst
- School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Maarit Tiirikainen
- Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Karolina Peplowska
- Genomics and Bioinformatics Shared Resources, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Lynne R Wilkens
- Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Loïc Le Marchand
- Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Unhee Lim
- Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
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Wang J, Conti DV, Bogumil D, Sheng X, Noureddin M, Wilkens LR, Le Marchand L, Rosen HR, Haiman CA, Setiawan VW. Association of Genetic Risk Score With NAFLD in An Ethnically Diverse Cohort. Hepatol Commun 2021; 5:1689-1703. [PMID: 34558842 PMCID: PMC8485887 DOI: 10.1002/hep4.1751] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 05/03/2021] [Indexed: 12/15/2022] Open
Abstract
Most genetic studies of nonalcoholic fatty liver disease (NAFLD) have been conducted in Whites. In this large and ethnically diverse cohort, we assessed the transportability of previously identified genetic variants for NAFLD, built a genetic risk score (GRS), and examined its association with NAFLD risk in multiple ethnic groups. Thirty previously identified genome-wide association studies (GWAS) variants (P < 5 × 10-8 ) and 17 other variants associated with NAFLD were examined in a nested case-control study of NAFLD (1,448 cases/8,444 controls) in this multi-ethnic cohort study. We then built a GRS using 11 independent single-nucleotide polymorphisms from these prior studies and examined its association with NAFLD by cirrhosis status across multiple ethnic groups. Of the 30 GWAS SNPs, 20 (67%) were replicated (P < 0.05) in the pooled multi-ethnic population. The highest percentage of replication was seen in Latinos (43%), followed by Japanese Americans (37%), Whites (17%), and Native Hawaiians and African Americans (≤10%). Several genetic variants, including those in PNPLA3 (patatin-like phospholipase domain containing 3), HSD17B13 (hydroxysteroid 17-beta dehydrogenase 13), TM6SF2 (transmembrane 6 superfamily member 2), GATAD2A (GATA zinc finger domain containing 2A), GCKR (glucokinase regulator), SUGP1 (SURP and G-patch domain containing 1), MBOAT7 (membrane bound O-acyltransferase domain containing 7), TRIB1 (tribbles pseudokinase 1), SAMM50 (sorting and assembly machinery component), and ERLIN1 (ER lipid raft associated 1)-CHUK (component of inhibitor of nuclear factor kappa B kinase complex)-CWF19L1 (CWF19 like cell cycle control factor 1) gene cluster, were replicated in at least two ethnic groups. An 11-SNP weighted GRS was associated with NAFLD risk in the multi-ethnic population (odds ratio [OR] per SD increase = 1.41; 95% confidence interval [CI] = 1.32-1.50), as well as in each ethnic group (OR ranged from 1.30 in African Americans to 1.52 in Latinos). The GRS-NAFLD association was stronger for NAFLD with cirrhosis (OR = 1.67; 95% CI = 1.46-1.92) compared to NAFLD without cirrhosis (OR = 1.37; 95% CI = 1.28-1.46) (P heterogeneity = 0.003). Conclusion: In this ethnically diverse cohort, we replicated several key genetic variants for NAFLD and showed the utility of GRS based on the risk alleles for NAFLD risk stratification in multiple ethnic groups.
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Affiliation(s)
- Jun Wang
- Department of Preventive MedicineKeck School of Medicine of University of Southern CaliforniaLos AngelesCAUSA
| | - David V. Conti
- Department of Preventive MedicineKeck School of Medicine of University of Southern CaliforniaLos AngelesCAUSA
- Center for Genetic EpidemiologyKeck School of MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
- Norris Comprehensive Cancer CenterKeck School of Medicine of University of Southern CaliforniaLos AngelesCAUSA
| | - David Bogumil
- Department of Preventive MedicineKeck School of Medicine of University of Southern CaliforniaLos AngelesCAUSA
| | - Xin Sheng
- Department of Preventive MedicineKeck School of Medicine of University of Southern CaliforniaLos AngelesCAUSA
| | - Mazen Noureddin
- Division of Gastroenterology and HepatologyDepartment of MedicineCedars‐Sinai Medical CenterLos AngelesCAUSA
| | - Lynne R. Wilkens
- Epidemiology ProgramUniversity of Hawaii Cancer CenterHonoluluHIUSA
| | - Loic Le Marchand
- Epidemiology ProgramUniversity of Hawaii Cancer CenterHonoluluHIUSA
| | - Hugo R. Rosen
- Department of MedicineKeck School of Medicine of University of Southern CaliforniaLos AngelesCAUSA
| | - Christopher A. Haiman
- Department of Preventive MedicineKeck School of Medicine of University of Southern CaliforniaLos AngelesCAUSA
- Center for Genetic EpidemiologyKeck School of MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
- Norris Comprehensive Cancer CenterKeck School of Medicine of University of Southern CaliforniaLos AngelesCAUSA
| | - Veronica Wendy Setiawan
- Department of Preventive MedicineKeck School of Medicine of University of Southern CaliforniaLos AngelesCAUSA
- Center for Genetic EpidemiologyKeck School of MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
- Norris Comprehensive Cancer CenterKeck School of Medicine of University of Southern CaliforniaLos AngelesCAUSA
- Department of MedicineKeck School of Medicine of University of Southern CaliforniaLos AngelesCAUSA
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18
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Streicher SA, Lim U, Park SL, Li Y, Sheng X, Hom V, Xia L, Pooler L, Shepherd J, Loo LWM, Darst BF, Highland HM, Polfus LM, Bogumil D, Ernst T, Buchthal S, Franke AA, Setiawan VW, Tiirikainen M, Wilkens LR, Haiman CA, Stram DO, Cheng I, Le Marchand L. Genome-wide association study of pancreatic fat: The Multiethnic Cohort Adiposity Phenotype Study. PLoS One 2021; 16:e0249615. [PMID: 34329319 PMCID: PMC8323875 DOI: 10.1371/journal.pone.0249615] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 06/15/2021] [Indexed: 01/26/2023] Open
Abstract
Several studies have found associations between higher pancreatic fat content and adverse health outcomes, such as diabetes and the metabolic syndrome, but investigations into the genetic contributions to pancreatic fat are limited. This genome-wide association study, comprised of 804 participants with MRI-assessed pancreatic fat measurements, was conducted in the ethnically diverse Multiethnic Cohort-Adiposity Phenotype Study (MEC-APS). Two genetic variants reaching genome-wide significance, rs73449607 on chromosome 13q21.2 (Beta = -0.67, P = 4.50x10-8) and rs7996760 on chromosome 6q14 (Beta = -0.90, P = 4.91x10-8) were associated with percent pancreatic fat on the log scale. Rs73449607 was most common in the African American population (13%) and rs79967607 was most common in the European American population (6%). Rs73449607 was also associated with lower risk of type 2 diabetes (OR = 0.95, 95% CI = 0.89-1.00, P = 0.047) in the Population Architecture Genomics and Epidemiology (PAGE) Study and the DIAbetes Genetics Replication and Meta-analysis (DIAGRAM), which included substantial numbers of non-European ancestry participants (53,102 cases and 193,679 controls). Rs73449607 is located in an intergenic region between GSX1 and PLUTO, and rs79967607 is in intron 1 of EPM2A. PLUTO, a lncRNA, regulates transcription of an adjacent gene, PDX1, that controls beta-cell function in the mature pancreas, and EPM2A encodes the protein laforin, which plays a critical role in regulating glycogen production. If validated, these variants may suggest a genetic component for pancreatic fat and a common etiologic link between pancreatic fat and type 2 diabetes.
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Affiliation(s)
- Samantha A. Streicher
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Unhee Lim
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - S. Lani Park
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Yuqing Li
- Department of Epidemiology and Biostatistics, University of California – San Francisco, San Francisco, California, United States of America
| | - Xin Sheng
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Victor Hom
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Lucy Xia
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Loreall Pooler
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - John Shepherd
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Lenora W. M. Loo
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Burcu F. Darst
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Heather M. Highland
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Linda M. Polfus
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - David Bogumil
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Thomas Ernst
- University of Maryland School of Medicine, Baltimore, Maryland, United States of America
| | - Steven Buchthal
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Adrian A. Franke
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Veronica Wendy Setiawan
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Maarit Tiirikainen
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Lynne R. Wilkens
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
| | - Christopher A. Haiman
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Daniel O. Stram
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California – San Francisco, San Francisco, California, United States of America
| | - Loïc Le Marchand
- University of Hawaii Cancer Center, University of Hawaii at Mānoa, Honolulu, Hawaii, United States of America
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19
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Hullar MAJ, Jenkins IC, Randolph TW, Curtis KR, Monroe KR, Ernst T, Shepherd JA, Stram DO, Cheng I, Kristal BS, Wilkens LR, Franke A, Le Marchand L, Lim U, Lampe JW. Associations of the gut microbiome with hepatic adiposity in the Multiethnic Cohort Adiposity Phenotype Study. Gut Microbes 2021; 13:1965463. [PMID: 34491886 PMCID: PMC8425768 DOI: 10.1080/19490976.2021.1965463] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 07/09/2021] [Accepted: 07/27/2021] [Indexed: 02/04/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a risk factor for liver cancer and prevalence varies by ethnicity. Along with genetic and lifestyle factors, the gut microbiome (GM) may contribute to NAFLD and its progression to advanced liver disease. Our cross-sectional analysis assessed the association of the GM with hepatic adiposity among African American, Japanese American, White, Latino, and Native Hawaiian participants in the Multiethnic Cohort. We used MRI to measure liver fat and determine nonalcoholic fatty liver disease (NAFLD) status (n = 511 cases) in 1,544 participants, aged 60-77 years, with 12-53% overall adiposity (BMI of 17.8-46.2 kg/m2). The GM was measured by 16S rRNA gene sequencing and, on a subset, by metagenomic sequencing. Alpha diversity was lower overall with NAFLD and in certain ethnicities (African Americans, Whites, and Latinos). In models regressing genus on NAFLD status, 62 of 149 genera (40%) exhibited a significant interaction between NAFLD and ethnicity stratified analysis found 69 genera significantly associated with NAFLD in at least one ethnic group. No single genus was significantly associated with NAFLD across all ethnicities. In contrast, the same bacterial metabolic pathways were over-represented in participants with NAFLD regardless of ethnicity. Imputed secondary bile acid and carbohydrate pathways were associated with NAFLD, the latter of which was corroborated by metagenomics, although different genera in different ethnicities were associated with these pathways. Overall, we found that NAFLD was associated with altered bacterial composition and metabolism, and that bacterial endotoxin, assessed by plasma lipopolysaccharide binding protein (LBP), may mediate liver fat-associated systemic inflammation in a manner that seems to vary by ethnicity.
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Affiliation(s)
- Meredith A. J. Hullar
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, U.S.A
| | - Isaac C. Jenkins
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, U.S.A
| | - Timothy W. Randolph
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, U.S.A
| | - Keith R. Curtis
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, U.S.A
| | - Kristine R. Monroe
- Preventive Medicine, Keck School Of Medicine, University Of Southern California, Los Angeles, California, U.S.A
| | - Thomas Ernst
- John A. Burns School Of Medicine, University Of Hawaii, Honolulu, Hawaii, U.S.A
| | - John A. Shepherd
- University Of Hawaii Cancer Center, University Of Hawaii, Honolulu, Hawaii, U.S.A
| | - Daniel O. Stram
- Keck School Of Medicine, University Of Southern California, Los Angeles, California, U.S.A
| | - Iona Cheng
- School Of Medicine, University Of California San Francisco, San Francisco, California, U.S.A
| | - Bruce S. Kristal
- Department Of Medicine, Brigham And Women’s Hospital And Harvard Medical School, Boston, Massachusetts, U.S.A
| | - Lynne R. Wilkens
- University Of Hawaii Cancer Center, University Of Hawaii, Honolulu, Hawaii, U.S.A
| | - Adrian Franke
- University Of Hawaii Cancer Center, University Of Hawaii, Honolulu, Hawaii, U.S.A
| | - Loic Le Marchand
- University Of Hawaii Cancer Center, University Of Hawaii, Honolulu, Hawaii, U.S.A
| | - Unhee Lim
- University Of Hawaii Cancer Center, University Of Hawaii, Honolulu, Hawaii, U.S.A
| | - Johanna W. Lampe
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, U.S.A
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20
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Zoller H, Wagner S, Schaefer B. Fatty Liver Disease: Metabolic, Genetic, or Both? Hepatol Commun 2020; 4:1239-1241. [PMID: 32923830 PMCID: PMC7471425 DOI: 10.1002/hep4.1598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 08/03/2020] [Accepted: 08/08/2020] [Indexed: 11/11/2022] Open
Affiliation(s)
- Heinz Zoller
- Department of Medicine Medical University of Innsbruck Innsbruck Austria
- Christian Doppler Laboratory of Iron and Phosphate Biology Medical University of Innsbruck Innsbruck Austria
| | - Sonja Wagner
- Department of Medicine Medical University of Innsbruck Innsbruck Austria
- Christian Doppler Laboratory of Iron and Phosphate Biology Medical University of Innsbruck Innsbruck Austria
| | - Benedikt Schaefer
- Department of Medicine Medical University of Innsbruck Innsbruck Austria
- Christian Doppler Laboratory of Iron and Phosphate Biology Medical University of Innsbruck Innsbruck Austria
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