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Bui H, Keshawarz A, Wang M, Lee M, Ratliff SM, Lin L, Birditt KS, Faul JD, Peters A, Gieger C, Delerue T, Kardia SLR, Zhao W, Guo X, Yao J, Rotter JI, Li Y, Liu X, Liu D, Tavares JF, Pehlivan G, Breteler MMB, Karabegovic I, Ochoa-Rosales C, Voortman T, Ghanbari M, van Meurs JBJ, Nasr MK, Dörr M, Grabe HJ, London SJ, Teumer A, Waldenberger M, Weir DR, Smith JA, Levy D, Ma J, Liu C. Association analysis between an epigenetic alcohol risk score and blood pressure. Clin Epigenetics 2024; 16:149. [PMID: 39468603 PMCID: PMC11520477 DOI: 10.1186/s13148-024-01753-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 09/26/2024] [Indexed: 10/30/2024] Open
Abstract
BACKGROUND Epigenome-wide association studies have identified multiple DNA methylation sites (CpGs) associated with alcohol consumption, an important lifestyle risk factor for cardiovascular diseases. This study aimed to test the hypothesis that an alcohol consumption epigenetic risk score (ERS) is associated with blood pressure (BP) traits. RESULTS We implemented an ERS based on a previously reported epigenetic signature of 144 alcohol-associated CpGs in meta-analysis of participants of European ancestry. We found a one-unit increment of ERS was associated with eleven drinks of alcohol consumed per day, on average, across several cohorts (p < 0.0001). We examined the association of the ERS with systolic blood pressure (SBP), diastolic blood pressure (DBP), and hypertension (HTN) in 3,898 Framingham Heart Study (FHS) participants. Cross-sectional analyses in FHS revealed that a one-unit increment of the ERS was associated with 1.93 mm Hg higher SBP (p = 4.64E-07), 0.68 mm Hg higher DBP (p = 0.006), and an odds ratio of 1.78 for HTN (p < 2E-16). Meta-analysis of the cross-sectional association of the ERS with BP traits in eight independent external cohorts (n = 11,544) showed similar relationships with BP levels, i.e., a one-unit increase in ERS was associated with 0.74 mm Hg (p = 0.002) higher SBP and 0.50 mm Hg (p = 0.0006) higher DBP, but not with HTN. Longitudinal analyses in FHS (n = 3260) and five independent external cohorts (n = 4021) showed that the baseline ERS was not associated with a change in BP over time or with incident HTN. CONCLUSIONS Our findings demonstrate that the ERS has potential clinical utility in assessing lifestyle factors related to cardiovascular risk, especially when self-reported behavioral data (e.g., alcohol consumption) are unreliable or unavailable.
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Affiliation(s)
- Helena Bui
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA
| | - Amena Keshawarz
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA
| | - Mengyao Wang
- Department of Biostatistics, Boston University School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02118, USA
| | - Mikyeong Lee
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Scott M Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Lisha Lin
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Kira S Birditt
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Informatics, Biometrics and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Christian Gieger
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich, Neuherberg, Germany
| | - Thomas Delerue
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich, Neuherberg, Germany
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 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, USA
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, 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, USA
| | - Yi Li
- Department of Biostatistics, Boston University School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02118, USA
| | - Xue Liu
- Department of Biostatistics, Boston University School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02118, USA
| | - Dan Liu
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Juliana F Tavares
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Gökhan Pehlivan
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Monique M B Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Irma Karabegovic
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Centro de Vida Saludable de La Universidad de Concepción, Concepción, Chile
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Mohamed Kamal Nasr
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Marcus Dörr
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine, Greifswald, Germany
- German Center of Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, Bialystok, Poland
| | - Melanie Waldenberger
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich, Neuherberg, Germany
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
- Framingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA.
| | - Jiantao Ma
- Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
| | - Chunyu Liu
- Framingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA.
- Department of Biostatistics, Boston University School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02118, USA.
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da Silva Rodrigues Marçal E, Borges JB, Bastos GM, Crespo Hirata TD, de Oliveira VF, Gonçalves RM, Faludi AA, Dias França JI, de Oliveira Silva DV, Malaquias VB, Luchessi AD, Silbiger VN, Nakazone MA, Carmo TS, Silva Souza DR, Sampaio MF, Crespo Hirata RD, Hirata MH. Methylation status of LDLR, PCSK9 and LDLRAP1 is associated with cardiovascular events in familial hypercholesterolemia. Epigenomics 2024; 16:809-820. [PMID: 38884343 PMCID: PMC11370914 DOI: 10.1080/17501911.2024.2351792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 04/27/2024] [Indexed: 06/18/2024] Open
Abstract
Aim: Methylation of LDLR, PCSK9 and LDLRAP1 CpG sites was assessed in patients with familial hypercholesterolemia (FH). Methods: DNA methylation of was analyzed by pyrosequencing in 131 FH patients and 23 normolipidemic (NL) subjects.Results: LDLR, PCSK9 and LDLRP1 methylation was similar between FH patients positive (MD) and negative (non-MD) for pathogenic variants in FH-related genes. LDLR and PCSK9 methylation was higher in MD and non-MD groups than NL subjects (p < 0.05). LDLR, PCSK9 and LDLRAP1 methylation profiles were associated with clinical manifestations and cardiovascular events in FH patients (p < 0.05).Conclusion: Differential methylation of LDLR, PCSK9 and LDLRAP1 is associated with hypercholesterolemia and cardiovascular events. This methylation profile maybe useful as a biomarker and contribute to the management of FH.
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Affiliation(s)
- Elisangela da Silva Rodrigues Marçal
- Department of Clinical & Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, 05508-000, Brazil
- Laboratory of Molecular Research in Cardiology, Institute of Cardiology Dante Pazzanese, Sao Paulo, 04012-909, Brazil
| | - Jéssica Bassani Borges
- Department of Research, Hospital Beneficiencia Portuguesa de Sao Paulo, Sao Paulo, 01323-001, Brazil
| | - Gisele Medeiros Bastos
- Department of Research, Hospital Beneficiencia Portuguesa de Sao Paulo, Sao Paulo, 01323-001, Brazil
| | - Thiago Dominguez Crespo Hirata
- Department of Clinical & Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, 05508-000, Brazil
| | - Victor Fernandes de Oliveira
- Department of Clinical & Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, 05508-000, Brazil
| | | | - Andre Arpad Faludi
- Medical Clinic Division, Institute of Cardiology Dante Pazzanese, Sao Paulo, 04012-909, Brazil
| | - João Italo Dias França
- Center for Clinical Trials & Pharmacovigilance, Butantan Institute, Sao Paulo, 05585-000, Brazil
| | - Daiana Vitor de Oliveira Silva
- Department of Clinical & Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, 05508-000, Brazil
| | - Vanessa Barbosa Malaquias
- Department of Clinical & Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, 05508-000, Brazil
| | - Andre Ducati Luchessi
- Department of Clinical & Toxicological Analyses, School of Pharmaceutical Sciences, Federal University of Rio Grande do Norte, Natal, 59012-570, Brazil
- Graduate Program in Pharmaceutical Sciences, Federal University of Rio Grande do Norte, Natal, 59012-570, Brazil
| | - Vivian Nogueira Silbiger
- Department of Clinical & Toxicological Analyses, School of Pharmaceutical Sciences, Federal University of Rio Grande do Norte, Natal, 59012-570, Brazil
- Graduate Program in Pharmaceutical Sciences, Federal University of Rio Grande do Norte, Natal, 59012-570, Brazil
| | - Marcelo Arruda Nakazone
- Department of Cardiology & Cardiovascular Surgery, Sao Jose do Rio Preto Medical School, Sao Jose do Rio Preto, 15090-000, Brazil
| | - Tayanne Silva Carmo
- Department of Biochemistry & Molecular Biology, Sao Jose do Rio Preto Medical School, Sao Jose do Rio Preto, 15090-000, Brazil
| | - Dorotéia Rossi Silva Souza
- Department of Biochemistry & Molecular Biology, Sao Jose do Rio Preto Medical School, Sao Jose do Rio Preto, 15090-000, Brazil
| | - Marcelo Ferraz Sampaio
- Department of Cardiology, Hospital Beneficencia Portuguesa de Sao Paulo, Sao Paulo, 01323-001, Brazil
| | - Rosario Dominguez Crespo Hirata
- Department of Clinical & Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, 05508-000, Brazil
| | - Mario Hiroyuki Hirata
- Department of Clinical & Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, 05508-000, Brazil
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3
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Bui H, Keshawarz A, Wang M, Lee M, Ratliff SM, Lin L, Birditt KS, Faul JD, Peters A, Gieger C, Delerue T, Kardia SLR, Zhao W, Guo X, Yao J, Rotter JI, Li Y, Liu X, Liu D, Tavares JF, Pehlivan G, Breteler MMB, Karabegovic I, Ochoa-Rosales C, Voortman T, Ghanbari M, van Meurs JBJ, Nasr MK, Dörr M, Grabe HJ, London SJ, Teumer A, Waldenberger M, Weir DR, Smith JA, Levy D, Ma J, Liu C. Association analysis between an epigenetic risk score and blood pressure. RESEARCH SQUARE 2024:rs.3.rs-4243866. [PMID: 38699335 PMCID: PMC11065078 DOI: 10.21203/rs.3.rs-4243866/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Background Epigenome-wide association studies have revealed multiple DNA methylation sites (CpGs) associated with alcohol consumption, an important lifestyle risk factor for cardiovascular diseases. Results We generated an alcohol consumption epigenetic risk score (ERS) based on previously reported 144 alcohol-associated CpGs and examined the association of the ERS with systolic blood pressure (SBP), diastolic blood pressure (DBP), and hypertension (HTN) in 3,898 Framingham Heart Study (FHS) participants. We found an association of alcohol intake with the ERS in the meta-analysis with 0.09 units higher ERS per drink consumed per day (p < 0.0001). Cross-sectional analyses in FHS revealed that a one-unit increment of the ERS was associated with 1.93 mm Hg higher SBP (p = 4.64E-07), 0.68 mm Hg higher DBP (p = 0.006), and an odds ratio of 1.78 for HTN (p < 2E-16). Meta-analysis of the cross-sectional association of the ERS with BP traits in eight independent external cohorts (n = 11,544) showed similar relationships with blood pressure levels, i.e., a one-unit increase in ERS was associated with 0.74 (p = 0.002) and 0.50 (p = 0.0006) mm Hg higher SBP and DBP, but could not confirm the association with hypertension. Longitudinal analyses in FHS (n = 3,260) and five independent external cohorts (n = 4,021) showed that the baseline ERS was not associated with a change in blood pressure over time or with incident HTN. Conclusions Our findings provide proof-of-concept that utilizing an ERS is a useful approach to capture the recent health consequences of lifestyle behaviors such as alcohol consumption.
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Affiliation(s)
| | | | | | - Mikyeong Lee
- National Institute of Environmental Health Sciences
| | | | | | | | | | - Annette Peters
- Helmholtz Munich, German Research Center for Environmental Health
| | - Christian Gieger
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance
| | - Thomas Delerue
- Helmholtz Munich, German Research Center for Environmental Health
| | | | | | - Xiuqing Guo
- Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
| | - Jie Yao
- Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
| | - Jerome I Rotter
- Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
| | - Yi Li
- Boston University School of Public Health
| | - Xue Liu
- Boston University School of Public Health
| | - Dan Liu
- German Center for Neurodegenerative Diseases
| | | | | | | | | | | | | | | | | | | | - Marcus Dörr
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald
| | | | | | | | - Melanie Waldenberger
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance
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4
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Bui H, Keshawarz A, Wang M, Lee M, Ratliff SM, Lin L, Birditt KS, Faul JD, Peters A, Gieger C, Delerue T, Kardia SLR, Zhao W, Guo X, Yao J, Rotter JI, Li Y, Liu X, Liu D, Tavares JF, Pehlivan G, Breteler MM, Karabegovic I, Ochoa-Rosales C, Voortman T, Ghanbari M, van Meurs JB, Nasr MK, Dörr M, Grabe HJ, London SJ, Teumer A, Waldenberger M, Weir DR, Smith JA, Levy D, Ma J, Liu C. Association analysis between an epigenetic alcohol risk score and blood pressure. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.29.24303545. [PMID: 38464320 PMCID: PMC10925472 DOI: 10.1101/2024.02.29.24303545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Background Epigenome-wide association studies have revealed multiple DNA methylation sites (CpGs) associated with alcohol consumption, an important lifestyle risk factor for cardiovascular diseases. Results We generated an alcohol consumption epigenetic risk score (ERS) based on previously reported 144 alcohol-associated CpGs and examined the association of the ERS with systolic blood pressure (SBP), diastolic blood pressure (DBP), and hypertension (HTN) in 3,898 Framingham Heart Study (FHS) participants. We found an association of alcohol intake with the ERS in the meta-analysis with 0.09 units higher ERS per drink consumed per day (p < 0.0001). Cross-sectional analyses in FHS revealed that a one-unit increment of the ERS was associated with 1.93 mm Hg higher SBP (p = 4.64E-07), 0.68 mm Hg higher DBP (p = 0.006), and an odds ratio of 1.78 for HTN (p < 2E-16). Meta-analysis of the cross-sectional association of the ERS with BP traits in eight independent external cohorts (n = 11,544) showed similar relationships with blood pressure levels, i.e., a one-unit increase in ERS was associated with 0.74 (p = 0.002) and 0.50 (p = 0.0006) mm Hg higher SBP and DBP, but could not confirm the association with hypertension. Longitudinal analyses in FHS (n = 3,260) and five independent external cohorts (n = 4,021) showed that the baseline ERS was not associated with a change in blood pressure over time or with incident HTN. Conclusions Our findings provide proof-of-concept that utilizing an ERS is a useful approach to capture the recent health consequences of lifestyle behaviors such as alcohol consumption.
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Affiliation(s)
- Helena Bui
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Amena Keshawarz
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Mengyao Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Mikyeong Lee
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Scott M. Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Lisha Lin
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Kira S. Birditt
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Jessica D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, German
- Institute for Medical Informatics, Biometrics and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Christian Gieger
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, Bavaria, Germany
| | - Thomas Delerue
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, Bavaria, Germany
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Xiuqing Guo
- The Institute for Translational Genomics and Populations, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Jie Yao
- The Institute for Translational Genomics and Populations, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Populations, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Yi Li
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Xue Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Dan Liu
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Juliana F. Tavares
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Gökhan Pehlivan
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Monique M.B. Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Irma Karabegovic
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Centro de Vida Saludable de la Universidad de Concepción, Concepción, Chile
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Joyce B.J. van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Mohamed Kamal Nasr
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Marcus Dörr
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine, Greifswald, Germany
- German Center of Neurodegenerative Diseases (DZNE), Rostock/Greifswald, site Greifswald, Germany
| | - Stephanie J. London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, Bialystok, Poland
| | - Melanie Waldenberger
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, Bavaria, Germany
| | - David R. Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Jiantao Ma
- Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Chunyu Liu
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
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5
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Argentato PP, Guerra JVDS, Luzia LA, Ramos ES, Maschietto M, Rondó PHDC. Integrative network analysis of differentially methylated regions to study the impact of gestational weight gain on maternal metabolism and fetal-neonatal growth. Genet Mol Biol 2024; 47:e20230203. [PMID: 38530405 PMCID: PMC10993311 DOI: 10.1590/1678-4685-gmb-2023-0203] [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: 07/06/2023] [Accepted: 02/10/2024] [Indexed: 03/28/2024] Open
Abstract
Integrative network analysis (INA) is important for identifying gene modules or epigenetically regulated molecular pathways in diseases. This study evaluated the effect of excessive gestational weight gain (EGWG) on INA of differentially methylated regions, maternal metabolism and offspring growth. Brazilian women from "The Araraquara Cohort Study" with adequate pre-pregnancy body mass index were divided into EGWG (n=30) versus adequate gestational weight gain (AGWG, n=45) groups. The methylome analysis was performed on maternal blood using the Illumina MethylationEPIC BeadChip. Fetal-neonatal growth was assessed by ultrasound and anthropometry, respectively. Maternal lipid and glycemic profiles were investigated. Maternal triglycerides-TG (p=0.030) and total cholesterol (p=0.014); fetus occipito-frontal diameter (p=0.005); neonate head circumference-HC (p=0.016) and thoracic perimeter (p=0.020) were greater in the EGWG compared to the AGWG group. Multiple linear regression analysis showed that maternal DNA methylation was associated with maternal TG and fasting insulin, fetal abdominal circumference, and fetal and neonate HC. The DMRs studied were enriched in 142 biological processes, 21 molecular functions,and 17 cellular components with terms directed for the fatty acids metabolism. Three DMGMs were identified:COL3A1, ITGA4 and KLRK1. INA targeted chronic diseases and maternal metabolism contributing to an epigenetic understanding of the involvement of GWG in maternal metabolism and fetal-neonatal growth.
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Affiliation(s)
- Perla Pizzi Argentato
- Universidade de São Paulo, Faculdade de Saúde Pública, Departamento de Nutrição, São Paulo, SP, Brazil
| | - João Victor da Silva Guerra
- Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Laboratório Nacional de Biociências (LNBio). Campinas, SP, Brazil
- Universidade Estadual de Campinas, Faculdade de Ciências Farmacêuticas, Programa de Pós-Graduação em Ciências Farmacêuticas, Campinas, SP, Brazil
| | - Liania Alves Luzia
- Universidade de São Paulo, Faculdade de Saúde Pública, Departamento de Nutrição, São Paulo, SP, Brazil
| | - Ester Silveira Ramos
- Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Genética, Ribeirão Preto, SP, Brazil
| | - Mariana Maschietto
- Universidade Estadual de Campinas, Instituto de Biologia, Departamento de Biologia Estrutural e Funcional, Campinas, SP, Brazil
- Centro Infantil Boldrini, Campinas, SP, Brazil
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6
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Peng J, Li H, Tong F, Hu J, Li M, Chen G, Liu D, Liu J, Wang R, Xu H, Li X, Zhong X, Yao J, Cao B. Methylation changes of liver DNA during the formation of gallstones. Epigenomics 2024; 16:529-547. [PMID: 38444389 PMCID: PMC11160444 DOI: 10.2217/epi-2023-0391] [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: 11/06/2023] [Accepted: 02/20/2024] [Indexed: 03/07/2024] Open
Abstract
Aim: To explore the overall methylation changes in liver tissues during the formation of gallstones, as well as the key pathways and genes involved in the process. Methods: Reduced-representation bisulfite sequencing and RNA sequencing were conducted on the liver tissues of mice with gallstones and control normal mice. Results: A total of 8705 differentially methylated regions in CpG and 1410 differentially expressed genes were identified. The joint analysis indicated that aberrant DNA methylation may be associated with dysregulated gene expression in key pathways such as cholesterol metabolism and bile secretion. Conclusion: We propose for the first time that methylation changes in some key pathway genes in liver tissue may be involved in the formation of gallstones.
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Affiliation(s)
- Junbin Peng
- Medical School of Anhui University Of Science & Technology, Huainan, 232001, Anhui, China
| | - Haojie Li
- Medical School of Anhui University Of Science & Technology, Huainan, 232001, Anhui, China
| | - Fang Tong
- Medical School of Anhui University Of Science & Technology, Huainan, 232001, Anhui, China
| | - Jinlong Hu
- Department of General Surgery, Anhui No.2 Provincial People’s Hospital, Hefei, 230041, Anhui, China
- Anhui Province Key Laboratory of Occupational Health, Anhui No.2 Provincial People’s Hospital, Hefei, 230041, China
| | - Min Li
- Department of General Surgery, Anhui No.2 Provincial People’s Hospital, Hefei, 230041, Anhui, China
| | - Gan Chen
- Department of General Surgery, Anhui No.2 Provincial People’s Hospital, Hefei, 230041, Anhui, China
| | - Dongquan Liu
- Department of General Surgery, Anhui No.2 Provincial People’s Hospital, Hefei, 230041, Anhui, China
| | - Jinshan Liu
- Anhui Medical University, Hefei, 230032, Anhui, China
| | - Rui Wang
- Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Hongyu Xu
- Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xuanxuan Li
- Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Xinguo Zhong
- Department of General Surgery, Anhui No.2 Provincial People’s Hospital, Hefei, 230041, Anhui, China
| | - Jiaming Yao
- Department of General Surgery, Anhui No.2 Provincial People’s Hospital, Hefei, 230041, Anhui, China
| | - Baoqiang Cao
- Medical School of Anhui University Of Science & Technology, Huainan, 232001, Anhui, China
- Department of General Surgery, Anhui No.2 Provincial People’s Hospital, Hefei, 230041, Anhui, China
- Anhui Province Key Laboratory of Occupational Health, Anhui No.2 Provincial People’s Hospital, Hefei, 230041, China
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7
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Zhang Y, Yang H, Jiang M, Nie X. Exploring the pathogenesis and treatment of IgA nephropathy based on epigenetics. Epigenomics 2023; 15:1017-1026. [PMID: 37909120 DOI: 10.2217/epi-2023-0318] [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: 11/02/2023] Open
Abstract
IgA nephropathy is the most common primary glomerulonephritis worldwide. However, its exact cause remains unclear, with known genetic factors explaining only 11% of the variation. Recently, researchers have turned their attention to epigenetic abnormalities in immune-related diseases, recognizing their significance in IgA nephropathy's development and progression. This emerging field has revolutionized our understanding of epigenetics in IgA nephropathy research. Though in its early stages, studying IgA nephropathy's epigenetics holds promise for unraveling its pathogenesis and identifying new biomarkers and therapies. This review aims to comprehensively analyze epigenetics' role in IgA nephropathy's development and suggest avenues for potential therapeutic interventions. In the future, assessing and modulating epigenetics may become integral in diagnosing, tailoring treatments and assessing prognoses for IgA nephropathy.
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Affiliation(s)
- Yunfan Zhang
- Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China
- Department of Pediatrics, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzhou, 350025, China
| | - Huanhuan Yang
- Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China
- Department of Pediatrics, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzhou, 350025, China
| | - Ming Jiang
- Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China
- Department of Pediatrics, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzhou, 350025, China
| | - Xiaojing Nie
- Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, China
- Department of Pediatrics, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzhou, 350025, China
- Department of Pediatrics, Affiliated Dongfang Hospital, Xiamen University, Fuzhou, 350025, China
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8
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Tang Y, Zhang W, Wang Y, Li H, Zhang C, Wang Y, Lin Y, Shi H, Xiang H, Huang L, Zhu J. Expression Variation of CPT1A Induces Lipid Reconstruction in Goat Intramuscular Precursor Adipocytes. Int J Mol Sci 2023; 24:13415. [PMID: 37686221 PMCID: PMC10488119 DOI: 10.3390/ijms241713415] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 08/27/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
Intramuscular fat (IMF) deposition is one of the most important factors affecting meat quality and is closely associated with the expression of carnitine palmitoyl transferase 1A (CPT1A) which facilitates the transfer of long-chain fatty acids (LCFAs) into the mitochondria. However, the role of how CPT1A regulates the IMF formation remains unclear. Herein, we established the temporal expression profile of CPT1A during the differentiation of goat intramuscular precursor adipocytes. Functionally, the knockdown of CPT1A by siRNA treatment significantly increased the mRNA expression of adipogenic genes and promoted lipid deposition in goat intramuscular precursor adipocytes. Meanwhile, a CPT1A deficiency inhibited cell proliferation and promoted cell apoptosis significantly. CPT1A was then supported by the overexpression of CPT1A which significantly suppressed the cellular triglyceride deposition and promoted cell proliferation although the cell apoptosis also was increased. For RNA sequencing, a total of 167 differential expression genes (DEGs), including 125 upregulated DEGs and 42 downregulated DEGs, were observed after the RNA silencing of CPT1A compared to the control, and were predicted to enrich in the focal adhesion pathway, cell cycle, apoptosis and the MAPK signaling pathway by KEGG analysis. Specifically, blocking the MAPK signaling pathway by a specific inhibitor (PD169316) rescued the promotion of cell proliferation in CPT1A overexpression adipocytes. In conclusion, the expression variation of CPT1A may reconstruct the lipid distribution between cellular triglyceride deposition and cell proliferation in goat intramuscular precursor adipocyte. Furthermore, we demonstrate that CPT1A promotes the proliferation of goat adipocytes through the MAPK signaling pathway. This work widened the genetic regulator networks of IMF formation and delivered theoretical support for improving meat quality from the aspect of IMF deposition.
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Affiliation(s)
- Yinmei Tang
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu 610225, China; (Y.T.); (Y.W.); (H.L.); (C.Z.); (Y.W.); (Y.L.); (H.X.); (L.H.)
| | - Wenyang Zhang
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Southwest Minzu University, Ministry of Education, Chengdu 610041, China;
| | - Yinggui Wang
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu 610225, China; (Y.T.); (Y.W.); (H.L.); (C.Z.); (Y.W.); (Y.L.); (H.X.); (L.H.)
| | - Haiyang Li
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu 610225, China; (Y.T.); (Y.W.); (H.L.); (C.Z.); (Y.W.); (Y.L.); (H.X.); (L.H.)
| | - Changhui Zhang
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu 610225, China; (Y.T.); (Y.W.); (H.L.); (C.Z.); (Y.W.); (Y.L.); (H.X.); (L.H.)
| | - Yong Wang
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu 610225, China; (Y.T.); (Y.W.); (H.L.); (C.Z.); (Y.W.); (Y.L.); (H.X.); (L.H.)
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Southwest Minzu University, Ministry of Education, Chengdu 610041, China;
| | - Yaqiu Lin
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu 610225, China; (Y.T.); (Y.W.); (H.L.); (C.Z.); (Y.W.); (Y.L.); (H.X.); (L.H.)
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Southwest Minzu University, Ministry of Education, Chengdu 610041, China;
| | - Hengbo Shi
- College of Animal Science, Zhejiang University, Hangzhou 310058, China;
| | - Hua Xiang
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu 610225, China; (Y.T.); (Y.W.); (H.L.); (C.Z.); (Y.W.); (Y.L.); (H.X.); (L.H.)
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Southwest Minzu University, Ministry of Education, Chengdu 610041, China;
| | - Lian Huang
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu 610225, China; (Y.T.); (Y.W.); (H.L.); (C.Z.); (Y.W.); (Y.L.); (H.X.); (L.H.)
| | - Jiangjiang Zhu
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu 610225, China; (Y.T.); (Y.W.); (H.L.); (C.Z.); (Y.W.); (Y.L.); (H.X.); (L.H.)
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Southwest Minzu University, Ministry of Education, Chengdu 610041, China;
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9
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Keshawarz A, Bui H, Joehanes R, Ma J, Liu C, Huan T, Hwang SJ, Tejada B, Sooda M, Courchesne P, Munson PJ, Demirkale CY, Yao C, Heard-Costa NL, Pitsillides AN, Lin H, Liu CT, Wang Y, Peloso GM, Lundin J, Haessler J, Du Z, Cho M, Hersh CP, Castaldi P, Raffield LM, Wen J, Li Y, Reiner AP, Feolo M, Sharopova N, Vasan RS, DeMeo DL, Carson AP, Kooperberg C, Levy D. Expression quantitative trait methylation analysis elucidates gene regulatory effects of DNA methylation: the Framingham Heart Study. Sci Rep 2023; 13:12952. [PMID: 37563237 PMCID: PMC10415314 DOI: 10.1038/s41598-023-39936-3] [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] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 08/02/2023] [Indexed: 08/12/2023] Open
Abstract
Expression quantitative trait methylation (eQTM) analysis identifies DNA CpG sites at which methylation is associated with gene expression. The present study describes an eQTM resource of CpG-transcript pairs derived from whole blood DNA methylation and RNA sequencing gene expression data in 2115 Framingham Heart Study participants. We identified 70,047 significant cis CpG-transcript pairs at p < 1E-7 where the top most significant eGenes (i.e., gene transcripts associated with a CpG) were enriched in biological pathways related to cell signaling, and for 1208 clinical traits (enrichment false discovery rate [FDR] ≤ 0.05). We also identified 246,667 significant trans CpG-transcript pairs at p < 1E-14 where the top most significant eGenes were enriched in biological pathways related to activation of the immune response, and for 1191 clinical traits (enrichment FDR ≤ 0.05). Independent and external replication of the top 1000 significant cis and trans CpG-transcript pairs was completed in the Women's Health Initiative and Jackson Heart Study cohorts. Using significant cis CpG-transcript pairs, we identified significant mediation of the association between CpG sites and cardiometabolic traits through gene expression and identified shared genetic regulation between CpGs and transcripts associated with cardiometabolic traits. In conclusion, we developed a robust and powerful resource of whole blood eQTM CpG-transcript pairs that can help inform future functional studies that seek to understand the molecular basis of disease.
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Affiliation(s)
- Amena Keshawarz
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Helena Bui
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Roby Joehanes
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jiantao Ma
- Framingham Heart Study, Framingham, MA, USA
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Chunyu Liu
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Tianxiao Huan
- Framingham Heart Study, Framingham, MA, USA
- Department of Ophthalmology and Visual Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Shih-Jen Hwang
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brandon Tejada
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Meera Sooda
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Paul Courchesne
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Peter J Munson
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Cumhur Y Demirkale
- Mathematical and Statistical Computing Laboratory, Office of Intramural Research, Center for Information Technology, National Institutes of Health, Bethesda, MD, USA
| | - Chen Yao
- Framingham Heart Study, Framingham, MA, USA
| | - Nancy L Heard-Costa
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Achilleas N Pitsillides
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Honghuang Lin
- Framingham Heart Study, Framingham, MA, USA
- Division of Clinical Informatics, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Ching-Ti Liu
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Yuxuan Wang
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Gina M Peloso
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | | | | | - Zhaohui Du
- Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Michael Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Craig P Hersh
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Peter Castaldi
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- General Medicine and Primary Care, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jia Wen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yun Li
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alexander P Reiner
- Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Mike Feolo
- National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, USA
| | - Nataliya Sharopova
- National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, USA
| | - Ramachandran S Vasan
- Framingham Heart Study, Framingham, MA, USA
- Department of Medicine, Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, USA
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - April P Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | | | - Daniel Levy
- Framingham Heart Study, Framingham, MA, USA.
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
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10
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Liu X, Zhao X, Yang J, Wang H, Piao Y, Wang L. High expression of AP2M1 correlates with worse prognosis by regulating immune microenvironment and drug resistance to R-CHOP in diffuse large B cell lymphoma. Eur J Haematol 2023; 110:198-208. [PMID: 36335584 DOI: 10.1111/ejh.13895] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/02/2022] [Accepted: 11/03/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND First-line treatment with R-CHOP has cured 50%-60% patients of diffuse large B cell lymphoma (DLBCL), and more than one-third patients will eventually progressed to relapsed/refractory disease with dismal outcomes. Adaptor Related Protein Complex 2 Subunit Mu 1 (AP2M1) is required for the activity of a vacuolar ATPase and may also play an important role in regulating the intracellular trafficking and function of CTLA-4 protein. Herein, using both public databases and our own tumor samples, we aimed to demonstrate the prognostic role of AP2M1 and the potential tumor-promoting mechanisms in DLBCL. METHOD Using public datasets of DLBCL from both GEO and TCGA databases, we analyzed the role of AP2M1 in mediating chemoresistance to R-CHOP and its correlation with various clinical parameters and prognosis. By using various R packages, we evaluated the role of AP2M1 on regulating tumor immune microenvironment. Moreover, tumor samples of DLBCL from Beijing TongRen Hospital were used to validate our findings by immunohistochemistry staining. RESULT Expression of AP2M1 was significantly increased in DLBCL, which was correlated with poor prognosis and a variety of clinical indicators. On the basis of enrichment analysis, it was found that AP2M1 may be related to intracellular receptor signaling pathway. Through immune analysis and drug prediction, we found that the expression of AP2M1 affected the immune environment and drug response of DLBCL, which further revealed the important role of AP2M1 in DLBCL. By analyzing 61 patients treated uniformly with R-CHOP regimen in our center, we validated the above findings that high expression of AP2M1 correlated with inferior survival outcomes and affected sensitivity to R-CHOP treatment. CONCLUSION Expression of AP2M1 may affect the prognosis of DLBCL patients probably by affecting the immune environment and the responses to many drugs in treating DLBCL, indicating AP2M1 as a potential therapy target in DLBCL.
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Affiliation(s)
- Xindi Liu
- Department of Hematology, Beijing TongRen Hospital, Capital Medical University, Beijing, China
| | - Xiaoli Zhao
- Department of Pathology, Beijing TongRen Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Head and Neck Molecular Diagnostic Pathology, Beijing TongRen Hospital, Capital Medical University, Beijing, China
| | - Jing Yang
- Department of Hematology, Beijing TongRen Hospital, Capital Medical University, Beijing, China
| | - Henan Wang
- Department of Hematology, Beijing TongRen Hospital, Capital Medical University, Beijing, China
| | - Yingshi Piao
- Department of Pathology, Beijing TongRen Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Head and Neck Molecular Diagnostic Pathology, Beijing TongRen Hospital, Capital Medical University, Beijing, China
| | - Liang Wang
- Department of Hematology, Beijing TongRen Hospital, Capital Medical University, Beijing, China
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11
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Besler KJ, Blanchard V, Francis GA. Lysosomal acid lipase deficiency: A rare inherited dyslipidemia but potential ubiquitous factor in the development of atherosclerosis and fatty liver disease. Front Genet 2022; 13:1013266. [PMID: 36204319 PMCID: PMC9530988 DOI: 10.3389/fgene.2022.1013266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 09/06/2022] [Indexed: 11/13/2022] Open
Abstract
Lysosomal acid lipase (LAL), encoded by the gene LIPA, is the sole neutral lipid hydrolase in lysosomes, responsible for cleavage of cholesteryl esters and triglycerides into their component parts. Inherited forms of complete (Wolman Disease, WD) or partial LAL deficiency (cholesteryl ester storage disease, CESD) are fortunately rare. Recently, LAL has been identified as a cardiovascular risk gene in genome-wide association studies, though the directionality of risk conferred remains controversial. It has also been proposed that the low expression and activity of LAL in arterial smooth muscle cells (SMCs) that occurs inherently in nature is a likely determinant of the propensity of SMCs to form the majority of foam cells in atherosclerotic plaque. LAL also likely plays a potential role in fatty liver disease. This review highlights the nature of LAL gene mutations in WD and CESD, the association of LAL with prediction of cardiovascular risk from genome-wide association studies, the importance of relative LAL deficiency in SMC foam cells, and the need to further interrogate the pathophysiological impact and cell type-specific role of enhancing LAL activity as a novel treatment strategy to reduce the development and induce the regression of ischemic cardiovascular disease and fatty liver.
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12
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Lizunkova P, Engdahl E, Borbély G, Gennings C, Lindh C, Bornehag CG, Rüegg J. A Mixture of Endocrine Disrupting Chemicals Associated with Lower Birth Weight in Children Induces Adipogenesis and DNA Methylation Changes in Human Mesenchymal Stem Cells. Int J Mol Sci 2022; 23:ijms23042320. [PMID: 35216435 PMCID: PMC8879125 DOI: 10.3390/ijms23042320] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 02/12/2022] [Accepted: 02/17/2022] [Indexed: 12/13/2022] Open
Abstract
Endocrine Disrupting Chemicals (EDCs) are man-made compounds that alter functions of the endocrine system. Environmental mixtures of EDCs might have adverse effects on human health, even though their individual concentrations are below regulatory levels of concerns. However, studies identifying and experimentally testing adverse effects of real-life mixtures are scarce. In this study, we aimed at evaluating an epidemiologically identified EDC mixture in an experimental setting to delineate its cellular and epigenetic effects. The mixture was established using data from the Swedish Environmental Longitudinal Mother and child Asthma and allergy (SELMA) study where it was associated with lower birth weight, an early marker for prenatal metabolic programming. This mixture was then tested for its ability to change metabolic programming of human mesenchymal stem cells. In these cells, we assessed if the mixture induced adipogenesis and genome-wide DNA methylation changes. The mixture increased lipid droplet accumulation already at concentrations corresponding to levels measured in the pregnant women of the SELMA study. Furthermore, we identified differentially methylated regions in genes important for adipogenesis and thermogenesis. This study shows that a mixture reflecting human real-life exposure can induce molecular and cellular changes during development that could underlie adverse outcomes.
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Affiliation(s)
- Polina Lizunkova
- Department of Organismal Biology, Uppsala University, 75236 Uppsala, Sweden; (P.L.); (E.E.)
| | - Elin Engdahl
- Department of Organismal Biology, Uppsala University, 75236 Uppsala, Sweden; (P.L.); (E.E.)
| | - Gábor Borbély
- The Swedish Toxicology Sciences Research Center (Swetox), 15257 Södertälje, Sweden;
| | - Chris Gennings
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (C.G.); (C.-G.B.)
| | - Christian Lindh
- Occupational and Environmental Medicine, Lund University, 22363 Lund, Sweden;
| | - Carl-Gustaf Bornehag
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (C.G.); (C.-G.B.)
- Department of Health Sciences, Karlstad University, 65188 Karlstad, Sweden
| | - Joëlle Rüegg
- Department of Organismal Biology, Uppsala University, 75236 Uppsala, Sweden; (P.L.); (E.E.)
- Correspondence: ; Tel.: +46-73-7121592
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13
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Hyperlipidemia May Synergize with Hypomethylation in Establishing Trained Immunity and Promoting Inflammation in NASH and NAFLD. J Immunol Res 2021; 2021:3928323. [PMID: 34859106 PMCID: PMC8632388 DOI: 10.1155/2021/3928323] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 10/12/2021] [Indexed: 02/07/2023] Open
Abstract
We performed a panoramic analysis on both human nonalcoholic steatohepatitis (NASH) microarray data and microarray/RNA-seq data from various mouse models of nonalcoholic fatty liver disease NASH/NAFLD with total 4249 genes examined and made the following findings: (i) human NASH and NAFLD mouse models upregulate both cytokines and chemokines; (ii) pathway analysis indicated that human NASH can be classified into metabolic and immune NASH; methionine- and choline-deficient (MCD)+high-fat diet (HFD), glycine N-methyltransferase deficient (GNMT-KO), methionine adenosyltransferase 1A deficient (MAT1A-KO), and HFCD (high-fat-cholesterol diet) can be classified into inflammatory, SAM accumulation, cholesterol/mevalonate, and LXR/RXR-fatty acid β-oxidation NAFLD, respectively; (iii) canonical and noncanonical inflammasomes play differential roles in the pathogenesis of NASH/NAFLD; (iv) trained immunity (TI) enzymes are significantly upregulated in NASH/NAFLD; HFCD upregulates TI enzymes more than cytokines, chemokines, and inflammasome regulators; (v) the MCD+HFD is a model with the upregulation of proinflammatory cytokines and canonical and noncanonical inflammasomes; however, the HFCD is a model with upregulation of TI enzymes and lipid peroxidation enzymes; and (vi) caspase-11 and caspase-1 act as upstream master regulators, which partially upregulate the expressions of cytokines, chemokines, canonical and noncanonical inflammasome pathway regulators, TI enzymes, and lipid peroxidation enzymes. Our findings provide novel insights on the synergies between hyperlipidemia and hypomethylation in establishing TI and promoting inflammation in NASH and NAFLD progression and novel targets for future therapeutic interventions for NASH and NAFLD, metabolic diseases, transplantation, and cancers.
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Shin J, Nile A, Oh JW. Role of adaptin protein complexes in intracellular trafficking and their impact on diseases. Bioengineered 2021; 12:8259-8278. [PMID: 34565296 PMCID: PMC8806629 DOI: 10.1080/21655979.2021.1982846] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 09/15/2021] [Accepted: 09/15/2021] [Indexed: 02/07/2023] Open
Abstract
Adaptin proteins (APs) play a crucial role in intracellular cell trafficking. The 'classical' role of APs is carried out by AP1‒3, which bind to clathrin, cargo, and accessory proteins. Accordingly, AP1-3 are crucial for both vesicle formation and sorting. All APs consist of four subunits that are indispensable for their functions. In fact, based on studies using cells, model organism knockdown/knock-out, and human variants, each subunit plays crucial roles and contributes to the specificity of each AP. These studies also revealed that the sorting and intracellular trafficking function of AP can exert varying effects on pathology by controlling features such as cell development, signal transduction related to the apoptosis and proliferation pathways in cancer cells, organelle integrity, receptor presentation, and viral infection. Although the roles and functions of AP1‒3 are relatively well studied, the functions of the less abundant and more recently identified APs, AP4 and AP5, are still to be investigated. Further studies on these APs may enable a better understanding and targeting of specific diseases.APs known or suggested locations and functions.
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Affiliation(s)
- Juhyun Shin
- Department of Stem Cell and Regenerative Biotechnology and Animal Resources Research Center, Konkuk University, Seoul, Republic of Korea
| | - Arti Nile
- Department of Stem Cell and Regenerative Biotechnology and Animal Resources Research Center, Konkuk University, Seoul, Republic of Korea
| | - Jae-Wook Oh
- Department of Stem Cell and Regenerative Biotechnology and Animal Resources Research Center, Konkuk University, Seoul, Republic of Korea
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Jones AC, Irvin MR, Claas SA, Arnett DK. Lipid Phenotypes and DNA Methylation: a Review of the Literature. Curr Atheroscler Rep 2021; 23:71. [PMID: 34468868 DOI: 10.1007/s11883-021-00965-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/11/2021] [Indexed: 12/17/2022]
Abstract
PURPOSE OF REVIEW Epigenetic modifications via DNA methylation have previously been linked to blood lipid levels, dyslipidemias, and atherosclerosis. The purpose of this review is to discuss current literature on the role of DNA methylation on lipid traits and their associated pathologies. RECENT FINDINGS Candidate gene and epigenome-wide approaches have identified differential methylation of genes associated with lipid traits (particularly CPT1A, ABCG1, SREBF1), and novel approaches are being implemented to further characterize these relationships. Moreover, studies on environmental factors have shown that methylation variations at lipid-related genes are associated with diet and pollution exposure. Further investigation is needed to elucidate the directionality of the associations between the environment, lipid traits, and epigenome. Future studies should also seek to increase the diversity of cohorts, as European and Asian ancestry populations are the predominant study populations in the current literature.
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Affiliation(s)
- Alana C Jones
- Medical Scientist Training Program, University of Alabama-Birmingham, Birmingham, AL, USA.,Department of Epidemiology, School of Public Health, University of Alabama-Birmingham, Birmingham, AL, USA
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama-Birmingham, Birmingham, AL, USA
| | - Steven A Claas
- Department of Epidemiology, College of Public Health, University of Kentucky, 111 Washington Ave, Lexington, KY, 40508, USA
| | - Donna K Arnett
- Department of Epidemiology, College of Public Health, University of Kentucky, 111 Washington Ave, Lexington, KY, 40508, USA.
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