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Mielnicka M, Tabaro F, Sureka R, Acurzio B, Paoletti R, Scavizzi F, Raspa M, Crevenna AH, Lapouge K, Remans K, Boulard M. Trim66's paternal deficiency causes intrauterine overgrowth. Life Sci Alliance 2024; 7:e202302512. [PMID: 38719749 PMCID: PMC11077763 DOI: 10.26508/lsa.202302512] [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: 12/06/2023] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/12/2024] Open
Abstract
The tripartite motif-containing protein 66 (TRIM66, also known as TIF1-delta) is a PHD-Bromo-containing protein primarily expressed in post-meiotic male germ cells known as spermatids. Biophysical assays showed that the TRIM66 PHD-Bromodomain binds to H3 N-terminus only when lysine 4 is unmethylated. We addressed TRIM66's role in reproduction by loss-of-function genetics in the mouse. Males homozygous for Trim66-null mutations produced functional spermatozoa. Round spermatids lacking TRIM66 up-regulated a network of genes involved in histone acetylation and H3K4 methylation. Profiling of H3K4me3 patterns in the sperm produced by the Trim66-null mutant showed minor alterations below statistical significance. Unexpectedly, Trim66-null males, but not females, sired pups overweight at birth, hence revealing that Trim66 mutations cause a paternal effect phenotype.
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Affiliation(s)
- Monika Mielnicka
- Epigenetics and Neurobiology Unit, EMBL Rome, European Molecular Biology Laboratory, Monterotondo, Italy
| | - Francesco Tabaro
- Epigenetics and Neurobiology Unit, EMBL Rome, European Molecular Biology Laboratory, Monterotondo, Italy
| | - Rahul Sureka
- Epigenetics and Neurobiology Unit, EMBL Rome, European Molecular Biology Laboratory, Monterotondo, Italy
| | - Basilia Acurzio
- Epigenetics and Neurobiology Unit, EMBL Rome, European Molecular Biology Laboratory, Monterotondo, Italy
| | | | - Ferdinando Scavizzi
- National Research Council (IBBC), CNR-Campus International Development (EMMA-INFRAFRONTIER-IMPC), Monterotondo, Italy
| | - Marcello Raspa
- National Research Council (IBBC), CNR-Campus International Development (EMMA-INFRAFRONTIER-IMPC), Monterotondo, Italy
| | - Alvaro H Crevenna
- Epigenetics and Neurobiology Unit, EMBL Rome, European Molecular Biology Laboratory, Monterotondo, Italy
| | - Karine Lapouge
- European Molecular Biology Laboratory, Protein Expression and Purification Core Facility, Heidelberg, Germany
| | - Kim Remans
- European Molecular Biology Laboratory, Protein Expression and Purification Core Facility, Heidelberg, Germany
| | - Matthieu Boulard
- Epigenetics and Neurobiology Unit, EMBL Rome, European Molecular Biology Laboratory, Monterotondo, Italy
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2
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Sindhu P, Magotra A, Sindhu V, Chaudhary P. Unravelling the impact of epigenetic mechanisms on offspring growth, production, reproduction and disease susceptibility. ZYGOTE 2024; 32:190-206. [PMID: 39291610 DOI: 10.1017/s0967199424000224] [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: 09/19/2024]
Abstract
Epigenetic mechanisms, such as DNA methylation, histone modifications and non-coding RNA molecules, play a critical role in gene expression and regulation in livestock species, influencing development, reproduction and disease resistance. DNA methylation patterns silence gene expression by blocking transcription factor binding, while histone modifications alter chromatin structure and affect DNA accessibility. Livestock-specific histone modifications contribute to gene expression and genome stability. Non-coding RNAs, including miRNAs, piRNAs, siRNAs, snoRNAs, lncRNAs and circRNAs, regulate gene expression post-transcriptionally. Transgenerational epigenetic inheritance occurs in livestock, with environmental factors impacting epigenetic modifications and phenotypic traits across generations. Epigenetic regulation revealed significant effect on gene expression profiling that can be exploited for various targeted traits like muscle hypertrophy, puberty onset, growth, metabolism, disease resistance and milk production in livestock and poultry breeds. Epigenetic regulation of imprinted genes affects cattle growth and metabolism while epigenetic modifications play a role in disease resistance and mastitis in dairy cattle, as well as milk protein gene regulation during lactation. Nutri-epigenomics research also reveals the influence of maternal nutrition on offspring's epigenetic regulation of metabolic homeostasis in cattle, sheep, goat and poultry. Integrating cyto-genomics approaches enhances understanding of epigenetic mechanisms in livestock breeding, providing insights into chromosomal structure, rearrangements and their impact on gene regulation and phenotypic traits. This review presents potential research areas to enhance production potential and deepen our understanding of epigenetic changes in livestock, offering opportunities for genetic improvement, reproductive management, disease control and milk production in diverse livestock species.
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Affiliation(s)
- Pushpa Sindhu
- Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, India
| | - Ankit Magotra
- Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, India
| | - Vikas Sindhu
- Department of Animal Nutrition, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, India
| | - Pradeep Chaudhary
- Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, India
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3
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Lechner L, Opitz R, Silver MJ, Krabusch PM, Prentice AM, Field MS, Stachelscheid H, Leitão E, Schröder C, Fernandez Vallone V, Horsthemke B, Jöckel KH, Schmidt B, Nöthen MM, Hoffmann P, Herms S, Kleyn PW, Megges M, Blume-Peytavi U, Weiss K, Mai K, Blankenstein O, Obermayer B, Wiegand S, Kühnen P. Early-set POMC methylation variability is accompanied by increased risk for obesity and is addressable by MC4R agonist treatment. Sci Transl Med 2023; 15:eadg1659. [PMID: 37467315 DOI: 10.1126/scitranslmed.adg1659] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 06/22/2023] [Indexed: 07/21/2023]
Abstract
Increasing evidence points toward epigenetic variants as a risk factor for developing obesity. We analyzed DNA methylation of the POMC (pro-opiomelanocortin) gene, which is pivotal for satiety regulation. We identified sex-specific and nongenetically determined POMC hypermethylation associated with a 1.4-fold (confidence interval, 1.03 to 2.04) increased individual risk of developing obesity. To investigate the early embryonic establishment of POMC methylation states, we established a human embryonic stem cell (hESC) model. Here, hESCs (WA01) were transferred into a naïve state, which was associated with a reduction of DNA methylation. Naïve hESCs were differentiated via a formative state into POMC-expressing hypothalamic neurons, which was accompanied by re-establishment of DNA methylation patterning. We observed that reduced POMC gene expression was associated with increased POMC methylation in POMC-expressing neurons. On the basis of these findings, we treated POMC-hypermethylated obese individuals (n = 5) with an MC4R agonist and observed a body weight reduction of 4.66 ± 2.16% (means ± SD) over a mean treatment duration of 38.4 ± 26.0 weeks. In summary, we identified an epigenetic obesity risk variant at the POMC gene fulfilling the criteria for a metastable epiallele established in early embryonic development that may be addressable by MC4R agonist treatment to reduce body weight.
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Affiliation(s)
- Lara Lechner
- Department of Pediatric Endocrinology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany
| | - Robert Opitz
- Institute for Experimental Pediatric Endocrinology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany
| | - Matt J Silver
- Medical Research Council Unit, Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Banjul, PO Box 273, Gambia
| | - Philipp M Krabusch
- Department of Pediatric Endocrinology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany
| | - Andrew M Prentice
- Medical Research Council Unit, Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Banjul, PO Box 273, Gambia
| | - Martha S Field
- Division of Nutritional Sciences, Cornell University, Ithaca, NY 14850, USA
| | - Harald Stachelscheid
- Berlin Institute of Health, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, BIH Core Unit Stem Cells and Organoids, 13353 Berlin, Germany
| | - Elsa Leitão
- Institute of Human Genetics, University Hospital Essen, 45147 Essen, Germany
| | | | - Valeria Fernandez Vallone
- Berlin Institute of Health, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, BIH Core Unit Stem Cells and Organoids, 13353 Berlin, Germany
| | - Bernhard Horsthemke
- Institute of Human Genetics, University Hospital Essen, 45147 Essen, Germany
| | - Karl-Heinz Jöckel
- Institute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen, 45147 Essen, Germany
| | - Börge Schmidt
- Institute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen, 45147 Essen, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, 53127 Bonn, Germany
| | - Per Hoffmann
- Institute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, 53127 Bonn, Germany
| | - Stefan Herms
- Institute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, 53127 Bonn, Germany
| | | | - Matthias Megges
- Department of Pediatric Endocrinology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany
| | - Ulrike Blume-Peytavi
- Clinical Research Center for Hair and Skin Science, Department of Dermatology and Venerology and Allergology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, and Humboldt-Universität zu Berlin, 10117 Berlin, Germany
| | - Katja Weiss
- Klinik für Angeborene Herzfehler - Kinderkardiologie, Deutsches Herzzentrum der Charité, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany
| | - Knut Mai
- Department of Endocrinology, Diabetes, and Nutrition and Charité Center for Cardiovascular Research, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany
- German Center for Diabetes Research, 85764 München-Neuherberg, Germany
| | - Oliver Blankenstein
- Department of Pediatric Endocrinology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany
- Department Endocrinology and Metabolism, Labor Berlin-Charité Vivantes GmbH, 13353 Berlin, Germany
| | - Benedikt Obermayer
- Core Unit Bioinformatics (CUBI), Berlin Institute of Health/Charité- Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany
| | - Susanna Wiegand
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Center for Social-Pediatric Care/Pediatric Endocrinology and Diabetology, 13353 Berlin, Germany
| | - Peter Kühnen
- Department of Pediatric Endocrinology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany
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4
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Murashov AK, Pak ES, Mar J, O’Brien K, Fisher-Wellman K, Bhat KM. Paternal Western diet causes transgenerational increase in food consumption in Drosophila with parallel alterations in the offspring brain proteome and microRNAs. FASEB J 2023; 37:e22966. [PMID: 37227156 PMCID: PMC10234493 DOI: 10.1096/fj.202300239rr] [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: 02/09/2023] [Revised: 04/20/2023] [Accepted: 04/26/2023] [Indexed: 05/26/2023]
Abstract
Several lines of evidence indicate that ancestral diet might play an important role in determining offspring's metabolic traits. However, it is not yet clear whether ancestral diet can affect offspring's food choices and feeding behavior. In the current study, taking advantage of Drosophila model system, we demonstrate that paternal Western diet (WD) increases offspring food consumption up to the fourth generation. Paternal WD also induced alterations in F1 offspring brain proteome. Using enrichment analyses of pathways for upregulated and downregulated proteins, we found that upregulated proteins had significant enrichments in terms related to translation and translation factors, whereas downregulated proteins displayed enrichments in small molecule metabolic processes, TCA cycles, and electron transport chain (ETC). Using MIENTURNET miRNA prediction tool, dme-miR-10-3p was identified as the top conserved miRNA predicted to target proteins regulated by ancestral diet. RNAi-based knockdown of miR-10 in the brain significantly increased food consumption, implicating miR-10 as a potential factor in programming feeding behavior. Together, these findings suggest that ancestral nutrition may influence offspring feeding behavior through alterations in miRNAs.
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Affiliation(s)
- Alexander K. Murashov
- Department of Physiology & East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, NC
| | - Elena S. Pak
- Department of Physiology & East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, NC
| | - Jordan Mar
- Department of Molecular Medicine, University of South Florida, Tampa, FL
| | - Kevin O’Brien
- Department of Biostatistics, College of Allied Health Sciences, East Carolina University, Greenville, NC
| | - Kelsey Fisher-Wellman
- Department of Physiology & East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, NC
| | - Krishna M. Bhat
- Department of Molecular Medicine, University of South Florida, Tampa, FL
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5
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Moore BF, Kreitner KJ, Starling AP, Martenies SE, Magzamen S, Clark M, Dabelea D. Early-life exposure to tobacco and childhood adiposity: Identifying windows of susceptibility. Pediatr Obes 2022; 17:e12967. [PMID: 36350199 PMCID: PMC10035041 DOI: 10.1111/ijpo.12967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 07/11/2022] [Accepted: 07/18/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Early-life exposure to tobacco is associated with obesity, but the most susceptible developmental periods are unknown. OBJECTIVE To explore windows of susceptibility in a cohort of 568 mother-child pairs. METHODS We measured seven measures of tobacco exposure (five self-reported and two biomarkers) spanning from pre-conception to age 5 years. Mothers self-reported active smoking (pre-conception, 17 weeks, and delivery) and household smokers (5 and 18 months postnatally). Cotinine was measured in maternal urine (27 weeks) and child urine (5 years). Adiposity (fat mass percentage) was measured at birth and 5 years via air displacement plethysmography. Using a multiple informant approach, we tested whether adiposity (5 years) and changes in adiposity (from birth to 5 years) differed by the seven measures of tobacco exposure. RESULTS The associations may depend on timing. For example, only pre-conception (β = 3.1%; 95% CI: 1.0-5.1) and late gestation (β = 4.0%; 95% CI: 0.4-7.6) exposures influenced adiposity accretion from birth to 5 years (p for interaction = 0.01). Early infancy exposure was also associated with 1.7% higher adiposity at 5 years (95% CI: 0.1-3.2). Mid-pregnancy and early childhood exposures did not influence adiposity. CONCLUSIONS Pre-conception, late gestation, and early infancy exposures to tobacco may have the greatest impact on childhood adiposity.
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Affiliation(s)
- Brianna F. Moore
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center, Austin, Texas, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, Colorado, USA
| | - Kimberly J. Kreitner
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center, Austin, Texas, USA
| | - Anne P. Starling
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, Colorado, USA
| | - Sheena E. Martenies
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Maggie Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, Colorado, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
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6
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Pang H, Lin J, Luo S, Huang G, Li X, Xie Z, Zhou Z. The missing heritability in type 1 diabetes. Diabetes Obes Metab 2022; 24:1901-1911. [PMID: 35603907 PMCID: PMC9545639 DOI: 10.1111/dom.14777] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 05/04/2022] [Accepted: 05/17/2022] [Indexed: 12/15/2022]
Abstract
Type 1 diabetes (T1D) is a complex autoimmune disease characterized by an absolute deficiency of insulin. It affects more than 20 million people worldwide and imposes an enormous financial burden on patients. The underlying pathogenic mechanisms of T1D are still obscure, but it is widely accepted that both genetics and the environment play an important role in its onset and development. Previous studies have identified more than 60 susceptible loci associated with T1D, explaining approximately 80%-85% of the heritability. However, most identified variants confer only small increases in risk, which restricts their potential clinical application. In addition, there is still a so-called 'missing heritability' phenomenon. While the gap between known heritability and true heritability in T1D is small compared with that in other complex traits and disorders, further elucidation of T1D genetics has the potential to bring novel insights into its aetiology and provide new therapeutic targets. Many hypotheses have been proposed to explain the missing heritability, including variants remaining to be found (variants with small effect sizes, rare variants and structural variants) and interactions (gene-gene and gene-environment interactions; e.g. epigenetic effects). In the following review, we introduce the possible sources of missing heritability and discuss the existing related knowledge in the context of T1D.
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Affiliation(s)
- Haipeng Pang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and EndocrinologyThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Jian Lin
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and EndocrinologyThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Shuoming Luo
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and EndocrinologyThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Gan Huang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and EndocrinologyThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Xia Li
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and EndocrinologyThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Zhiguo Xie
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and EndocrinologyThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Zhiguang Zhou
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and EndocrinologyThe Second Xiangya Hospital of Central South UniversityChangshaChina
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7
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Fink J. In Reply. DEUTSCHES ARZTEBLATT INTERNATIONAL 2022; 119:610. [PMID: 36474343 PMCID: PMC9749839 DOI: 10.3238/arztebl.m2022.0179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Affiliation(s)
- Jodok Fink
- *Klinik für Allgemein- und Viszeralchirurgie Sektion für Adipositas und Metabolische Chirurgie Universitätsklinikum Freiburg
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8
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Yang CH, Fagnocchi L, Apostle S, Wegert V, Casaní-Galdón S, Landgraf K, Panzeri I, Dror E, Heyne S, Wörpel T, Chandler DP, Lu D, Yang T, Gibbons E, Guerreiro R, Bras J, Thomasen M, Grunnet LG, Vaag AA, Gillberg L, Grundberg E, Conesa A, Körner A, Pospisilik JA. Independent phenotypic plasticity axes define distinct obesity sub-types. Nat Metab 2022; 4:1150-1165. [PMID: 36097183 PMCID: PMC9499872 DOI: 10.1038/s42255-022-00629-2] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 07/29/2022] [Indexed: 01/04/2023]
Abstract
Studies in genetically 'identical' individuals indicate that as much as 50% of complex trait variation cannot be traced to genetics or to the environment. The mechanisms that generate this 'unexplained' phenotypic variation (UPV) remain largely unknown. Here, we identify neuronatin (NNAT) as a conserved factor that buffers against UPV. We find that Nnat deficiency in isogenic mice triggers the emergence of a bi-stable polyphenism, where littermates emerge into adulthood either 'normal' or 'overgrown'. Mechanistically, this is mediated by an insulin-dependent overgrowth that arises from histone deacetylase (HDAC)-dependent β-cell hyperproliferation. A multi-dimensional analysis of monozygotic twin discordance reveals the existence of two patterns of human UPV, one of which (Type B) phenocopies the NNAT-buffered polyphenism identified in mice. Specifically, Type-B monozygotic co-twins exhibit coordinated increases in fat and lean mass across the body; decreased NNAT expression; increased HDAC-responsive gene signatures; and clinical outcomes linked to insulinemia. Critically, the Type-B UPV signature stratifies both childhood and adult cohorts into four metabolic states, including two phenotypically and molecularly distinct types of obesity.
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Affiliation(s)
- Chih-Hsiang Yang
- Van Andel Institute, Grand Rapids, MI, USA
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | | | | | - Vanessa Wegert
- Van Andel Institute, Grand Rapids, MI, USA
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | | | - Kathrin Landgraf
- Medical Faculty, University of Leipzig, University Hospital for Children & Adolescents, Center for Pediatric Research Leipzig, Leipzig, Germany
| | - Ilaria Panzeri
- Van Andel Institute, Grand Rapids, MI, USA
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Erez Dror
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Steffen Heyne
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
- Roche Diagnostics Deutschland, Mannheim, Germany
| | - Till Wörpel
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | | | - Di Lu
- Van Andel Institute, Grand Rapids, MI, USA
| | - Tao Yang
- Van Andel Institute, Grand Rapids, MI, USA
| | - Elizabeth Gibbons
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Rita Guerreiro
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Jose Bras
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Martin Thomasen
- Department of Endocrinology, Rigshospitalet, Copenhagen, Denmark
| | - Louise G Grunnet
- Department of Endocrinology, Rigshospitalet, Copenhagen, Denmark
- Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Allan A Vaag
- Department of Endocrinology, Rigshospitalet, Copenhagen, Denmark
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Linn Gillberg
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Elin Grundberg
- Genomic Medicine Center, Children's Mercy Research Institute, Children's Mercy Kansas City, MO, USA
| | - Ana Conesa
- Institute for Integrative Systems Biology, Spanish National Research Council (CSIC), Paterna, Valencia, Spain
- Microbiology and Cell Science Department, University of Florida, Gainesville, FL, USA
| | - Antje Körner
- Medical Faculty, University of Leipzig, University Hospital for Children & Adolescents, Center for Pediatric Research Leipzig, Leipzig, Germany
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - J Andrew Pospisilik
- Van Andel Institute, Grand Rapids, MI, USA.
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.
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9
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Holland ML, Rakyan VK. A stochastic basis for metabolic phenotypes. Nat Metab 2022; 4:1091-1092. [PMID: 36097184 DOI: 10.1038/s42255-022-00630-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Michelle L Holland
- Department of Medical and Molecular Genetics, School of Basic and Medical Biosciences, King's College London, London, UK.
| | - Vardhman K Rakyan
- The Blizard Institute, School of Medicine and Dentistry, Queen Mary University of London, London, UK.
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10
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Carlini V, Policarpi C, Hackett JA. Epigenetic inheritance is gated by naïve pluripotency and Dppa2. EMBO J 2022; 41:e108677. [PMID: 35199868 PMCID: PMC8982627 DOI: 10.15252/embj.2021108677] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 01/12/2022] [Accepted: 01/17/2022] [Indexed: 12/14/2022] Open
Abstract
Environmental factors can trigger cellular responses that propagate across mitosis or even generations. Perturbations to the epigenome could underpin such acquired changes, however, the extent and contexts in which modified chromatin states confer heritable memory in mammals is unclear. Here, we exploit a precision epigenetic editing strategy and forced Xist activity to programme de novo heterochromatin domains (epialleles) at endogenous loci and track their inheritance in a developmental model. We find that naïve pluripotent phases systematically erase ectopic domains of heterochromatin via active mechanisms, which likely acts as an intergenerational safeguard against transmission of epialleles. Upon lineage specification, however, acquired chromatin states can be probabilistically inherited under selectively favourable conditions, including propagation of p53 silencing through in vivo development. Using genome‐wide CRISPR screening, we identify molecular factors that restrict heritable memory of epialleles in naïve pluripotent cells, and demonstrate that removal of chromatin factor Dppa2 unlocks the potential for epigenetic inheritance uncoupled from DNA sequence. Our study outlines a mechanistic basis for how epigenetic inheritance is constrained in mammals, and reveals genomic and developmental contexts in which heritable memory is feasible.
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Affiliation(s)
- Valentina Carlini
- Epigenetics & Neurobiology Unit, European Molecular Biology Laboratory (EMBL), Rome, Italy.,Faculty of Biosciences, Collaboration for Joint PhD Degree between EMBL and Heidelberg University, Heidelberg, Germany
| | - Cristina Policarpi
- Epigenetics & Neurobiology Unit, European Molecular Biology Laboratory (EMBL), Rome, Italy
| | - Jamie A Hackett
- Epigenetics & Neurobiology Unit, European Molecular Biology Laboratory (EMBL), Rome, Italy
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11
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Ramzan F, Vickers MH, Mithen RF. Epigenetics, microRNA and Metabolic Syndrome: A Comprehensive Review. Int J Mol Sci 2021; 22:ijms22095047. [PMID: 34068765 PMCID: PMC8126218 DOI: 10.3390/ijms22095047] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/06/2021] [Accepted: 05/07/2021] [Indexed: 12/13/2022] Open
Abstract
Epigenetics refers to the DNA chemistry changes that result in the modification of gene transcription and translation independently of the underlying DNA coding sequence. Epigenetic modifications are reported to involve various molecular mechanisms, including classical epigenetic changes affecting DNA methylation and histone modifications and small RNA-mediated processes, particularly that of microRNAs. Epigenetic changes are reversible and are closely interconnected. They are recognised to play a critical role as mediators of gene regulation, and any alteration in these mechanisms has been identified to mediate various pathophysiological conditions. Moreover, genetic predisposition and environmental factors, including dietary alterations, lifestyle or metabolic status, are identified to interact with the human epigenome, highlighting the importance of epigenetic factors as underlying processes in the aetiology of various diseases such as MetS. This review will reflect on how both the classical and microRNA-regulated epigenetic changes are associated with the pathophysiology of metabolic syndrome. We will then focus on the various aspects of epigenetic-based strategies used to modify MetS outcomes, including epigenetic diet, epigenetic drugs, epigenome editing tools and miRNA-based therapies.
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12
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Baudach A, Vilcinskas A. The European Map Butterfly Araschnia levana as a Model to Study the Molecular Basis and Evolutionary Ecology of Seasonal Polyphenism. INSECTS 2021; 12:insects12040325. [PMID: 33917601 PMCID: PMC8067495 DOI: 10.3390/insects12040325] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 03/28/2021] [Accepted: 04/02/2021] [Indexed: 02/03/2023]
Abstract
The European map butterfly Araschnia levana is a well-known example of seasonal polyphenism. Spring and summer imagoes exhibit distinct morphological phenotypes. Key environmental factors responsible for the expression of different morphs are day length and temperature. Larval exposure to light for more than 16 h per day entails direct development and results in the adult f. prorsa summer phenotype. Less than 15.5 h per day increasingly promotes diapause and the adult f. levana spring phenotype. The phenotype depends on the timing of the release of 20-hydroxyecdysone in pupae. Release within the first days after pupation potentially inhibits the default "levana-gene-expression-profile" because pre-pupae destined for diapause or subitaneous development have unique transcriptomic programs. Moreover, multiple microRNAs and their targets are differentially regulated during the larval and pupal stages, and candidates for diapause maintenance, duration, and phenotype determination have been identified. However, the complete pathway from photoreception to timekeeping and diapause or subitaneous development remains unclear. Beside the wing polyphenism, the hormonal and epigenetic modifications of the two phenotypes also include differences in biomechanical design and immunocompetence. Here, we discuss research on the physiological and molecular basis of polyphenism in A. levana, including hormonal control, epigenetic regulation, and the effect of ecological parameters on developmental fate.
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Affiliation(s)
- Arne Baudach
- Institute for Insect Biotechnology, Justus-Liebig University of Giessen, 35392 Giessen, Germany;
| | - Andreas Vilcinskas
- Department of Bioresources, Fraunhofer Institute for Molecular Biology and Applied Ecology, Ohlebergsweg 12, 35392 Giessen, Germany
- Correspondence: ; Tel.: +49-641-99-37600
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13
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Mirra P, Desiderio A, Spinelli R, Nigro C, Longo M, Parrillo L, D'Esposito V, Carissimo A, Hedjazifar S, Smith U, Formisano P, Miele C, Raciti GA, Beguinot F. Adipocyte precursor cells from first degree relatives of type 2 diabetic patients feature changes in hsa-mir-23a-5p, -193a-5p, and -193b-5p and insulin-like growth factor 2 expression. FASEB J 2021; 35:e21357. [PMID: 33710685 DOI: 10.1096/fj.202002156rrr] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 12/23/2020] [Accepted: 12/24/2020] [Indexed: 12/13/2022]
Abstract
First-degree relatives (FDRs) of type 2 diabetics (T2D) feature dysfunction of subcutaneous adipose tissue (SAT) long before T2D onset. miRNAs have a role in adipocyte precursor cells (APC) differentiation and in adipocyte identity. Thus, impaired miRNA expression may contribute to SAT dysfunction in FDRs. In the present work, we have explored changes in miRNA expression associated with T2D family history which may affect gene expression in SAT APCs from FDRs. Small RNA-seq was performed in APCs from healthy FDRs and matched controls and omics data were validated by qPCR. Integrative analyses of APC miRNome and transcriptome from FDRs revealed down-regulated hsa-miR-23a-5p, -193a-5p and -193b-5p accompanied by up-regulated Insulin-like Growth Factor 2 (IGF2) gene which proved to be their direct target. The expression changes in these marks were associated with SAT adipocyte hypertrophy in FDRs. APCs from FDRs further demonstrated reduced capability to differentiate into adipocytes. Treatment with IGF2 protein decreased APC adipogenesis, while over-expression of hsa-miR-23a-5p, -193a-5p and -193b-5p enhanced adipogenesis by IGF2 targeting. Indeed, IGF2 increased the Wnt Family Member 10B gene expression in APCs. Down-regulation of the three miRNAs and IGF2 up-regulation was also observed in Peripheral Blood Leukocytes (PBLs) from FDRs. In conclusion, APCs from FDRs feature a specific miRNA/gene profile, which associates with SAT adipocyte hypertrophy and appears to contribute to impaired adipogenesis. PBL detection of this profile may help in identifying adipocyte hypertrophy in individuals at high risk of T2D.
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Affiliation(s)
- Paola Mirra
- URT Genomics of Diabetes, Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy.,Department of Translational Medicine, Federico II University of Naples, Naples, Italy
| | - Antonella Desiderio
- URT Genomics of Diabetes, Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy.,Department of Translational Medicine, Federico II University of Naples, Naples, Italy
| | - Rosa Spinelli
- URT Genomics of Diabetes, Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy.,Department of Translational Medicine, Federico II University of Naples, Naples, Italy
| | - Cecilia Nigro
- URT Genomics of Diabetes, Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy.,Department of Translational Medicine, Federico II University of Naples, Naples, Italy
| | - Michele Longo
- URT Genomics of Diabetes, Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy.,Department of Translational Medicine, Federico II University of Naples, Naples, Italy
| | - Luca Parrillo
- URT Genomics of Diabetes, Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy.,Department of Translational Medicine, Federico II University of Naples, Naples, Italy
| | - Vittoria D'Esposito
- URT Genomics of Diabetes, Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy.,Department of Translational Medicine, Federico II University of Naples, Naples, Italy
| | | | - Shahram Hedjazifar
- Lundberg Laboratory for Diabetes Research, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Ulf Smith
- Lundberg Laboratory for Diabetes Research, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Pietro Formisano
- URT Genomics of Diabetes, Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy.,Department of Translational Medicine, Federico II University of Naples, Naples, Italy
| | - Claudia Miele
- URT Genomics of Diabetes, Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy.,Department of Translational Medicine, Federico II University of Naples, Naples, Italy
| | - Gregory A Raciti
- URT Genomics of Diabetes, Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy.,Department of Translational Medicine, Federico II University of Naples, Naples, Italy
| | - Francesco Beguinot
- URT Genomics of Diabetes, Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy.,Department of Translational Medicine, Federico II University of Naples, Naples, Italy
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14
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Wang M, Ibeagha-Awemu EM. Impacts of Epigenetic Processes on the Health and Productivity of Livestock. Front Genet 2021; 11:613636. [PMID: 33708235 PMCID: PMC7942785 DOI: 10.3389/fgene.2020.613636] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 12/21/2020] [Indexed: 12/23/2022] Open
Abstract
The dynamic changes in the epigenome resulting from the intricate interactions of genetic and environmental factors play crucial roles in individual growth and development. Numerous studies in plants, rodents, and humans have provided evidence of the regulatory roles of epigenetic processes in health and disease. There is increasing pressure to increase livestock production in light of increasing food needs of an expanding human population and environment challenges, but there is limited related epigenetic data on livestock to complement genomic information and support advances in improvement breeding and health management. This review examines the recent discoveries on epigenetic processes due to DNA methylation, histone modification, and chromatin remodeling and their impacts on health and production traits in farm animals, including bovine, swine, sheep, goat, and poultry species. Most of the reports focused on epigenome profiling at the genome-wide or specific genic regions in response to developmental processes, environmental stressors, nutrition, and disease pathogens. The bulk of available data mainly characterized the epigenetic markers in tissues/organs or in relation to traits and detection of epigenetic regulatory mechanisms underlying livestock phenotype diversity. However, available data is inadequate to support gainful exploitation of epigenetic processes for improved animal health and productivity management. Increased research effort, which is vital to elucidate how epigenetic mechanisms affect the health and productivity of livestock, is currently limited due to several factors including lack of adequate analytical tools. In this review, we (1) summarize available evidence of the impacts of epigenetic processes on livestock production and health traits, (2) discuss the application of epigenetics data in livestock production, and (3) present gaps in livestock epigenetics research. Knowledge of the epigenetic factors influencing livestock health and productivity is vital for the management and improvement of livestock productivity.
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Affiliation(s)
- Mengqi Wang
- Agriculture and Agri-Food Canada, Sherbrooke Research and Development Centre, Sherbrooke, QC, Canada
- Department of Animal Science, Laval University, Quebec, QC, Canada
| | - Eveline M. Ibeagha-Awemu
- Agriculture and Agri-Food Canada, Sherbrooke Research and Development Centre, Sherbrooke, QC, Canada
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15
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van Steenwyk G, Gapp K, Jawaid A, Germain P, Manuella F, Tanwar DK, Zamboni N, Gaur N, Efimova A, Thumfart KM, Miska EA, Mansuy IM. Involvement of circulating factors in the transmission of paternal experiences through the germline. EMBO J 2020; 39:e104579. [PMID: 33034389 PMCID: PMC7705452 DOI: 10.15252/embj.2020104579] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 09/04/2020] [Accepted: 09/16/2020] [Indexed: 12/12/2022] Open
Abstract
Environmental factors can change phenotypes in exposed individuals and offspring and involve the germline, likely via biological signals in the periphery that communicate with germ cells. Here, using a mouse model of paternal exposure to traumatic stress, we identify circulating factors involving peroxisome proliferator-activated receptor (PPAR) pathways in the effects of exposure to the germline. We show that exposure alters metabolic functions and pathways, particularly lipid-derived metabolites, in exposed fathers and their offspring. We collected data in a human cohort exposed to childhood trauma and observed similar metabolic alterations in circulation, suggesting conserved effects. Chronic injection of serum from trauma-exposed males into controls recapitulates metabolic phenotypes in the offspring. We identify lipid-activated nuclear receptors PPARs as potential mediators of the effects from father to offspring. Pharmacological PPAR activation in vivo reproduces metabolic dysfunctions in the offspring and grand-offspring of injected males and affects the sperm transcriptome in fathers and sons. In germ-like cells in vitro, both serum and PPAR agonist induce PPAR activation. Together, these results highlight the role of circulating factors as potential communication vectors between the periphery and the germline.
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Affiliation(s)
- Gretchen van Steenwyk
- Laboratory of NeuroepigeneticsBrain Research InstituteMedical Faculty of the University of ZurichZurichSwitzerland
- Institute for NeuroscienceDepartment of Health Sciences and TechnologyETH ZurichZurichSwitzerland
- Zurich Neuroscience CenterETH Zurich and University of ZurichZurichSwitzerland
| | - Katharina Gapp
- Institute for NeuroscienceDepartment of Health Sciences and TechnologyETH ZurichZurichSwitzerland
- Zurich Neuroscience CenterETH Zurich and University of ZurichZurichSwitzerland
- Laboratory of Molecular and Behavioral NeuroscienceETH ZurichZurichSwitzerland
- Gurdon InstituteUniversity of CambridgeCambridgeUK
- Wellcome Trust Sanger InstituteHinxtonUK
- Department of GeneticsUniversity of CambridgeCambridgeUK
| | - Ali Jawaid
- Laboratory of NeuroepigeneticsBrain Research InstituteMedical Faculty of the University of ZurichZurichSwitzerland
- Institute for NeuroscienceDepartment of Health Sciences and TechnologyETH ZurichZurichSwitzerland
- Zurich Neuroscience CenterETH Zurich and University of ZurichZurichSwitzerland
- Laboratory of Translational Research in Neuropsychiatric DisordersBRAINCITY Nencki‐EMBL Center of Excellence for Neural Plasticity and Brain DisordersWarsawPoland
| | - Pierre‐Luc Germain
- Laboratory of NeuroepigeneticsBrain Research InstituteMedical Faculty of the University of ZurichZurichSwitzerland
- Institute for NeuroscienceDepartment of Health Sciences and TechnologyETH ZurichZurichSwitzerland
- Statistical Bioinformatics GroupSwiss Institute of BioinformaticsZürichSwitzerland
| | - Francesca Manuella
- Laboratory of NeuroepigeneticsBrain Research InstituteMedical Faculty of the University of ZurichZurichSwitzerland
- Institute for NeuroscienceDepartment of Health Sciences and TechnologyETH ZurichZurichSwitzerland
- Zurich Neuroscience CenterETH Zurich and University of ZurichZurichSwitzerland
| | - Deepak K Tanwar
- Laboratory of NeuroepigeneticsBrain Research InstituteMedical Faculty of the University of ZurichZurichSwitzerland
- Institute for NeuroscienceDepartment of Health Sciences and TechnologyETH ZurichZurichSwitzerland
- Zurich Neuroscience CenterETH Zurich and University of ZurichZurichSwitzerland
- Statistical Bioinformatics GroupSwiss Institute of BioinformaticsZürichSwitzerland
| | - Nicola Zamboni
- Institute of Molecular Systems BiologyETH ZurichZurichSwitzerland
| | - Niharika Gaur
- Laboratory of NeuroepigeneticsBrain Research InstituteMedical Faculty of the University of ZurichZurichSwitzerland
- Institute for NeuroscienceDepartment of Health Sciences and TechnologyETH ZurichZurichSwitzerland
- Zurich Neuroscience CenterETH Zurich and University of ZurichZurichSwitzerland
| | - Anastasiia Efimova
- Laboratory of NeuroepigeneticsBrain Research InstituteMedical Faculty of the University of ZurichZurichSwitzerland
- Institute for NeuroscienceDepartment of Health Sciences and TechnologyETH ZurichZurichSwitzerland
- Zurich Neuroscience CenterETH Zurich and University of ZurichZurichSwitzerland
| | - Kristina M Thumfart
- Laboratory of NeuroepigeneticsBrain Research InstituteMedical Faculty of the University of ZurichZurichSwitzerland
- Institute for NeuroscienceDepartment of Health Sciences and TechnologyETH ZurichZurichSwitzerland
- Zurich Neuroscience CenterETH Zurich and University of ZurichZurichSwitzerland
| | - Eric A Miska
- Gurdon InstituteUniversity of CambridgeCambridgeUK
- Wellcome Trust Sanger InstituteHinxtonUK
- Department of GeneticsUniversity of CambridgeCambridgeUK
| | - Isabelle M Mansuy
- Laboratory of NeuroepigeneticsBrain Research InstituteMedical Faculty of the University of ZurichZurichSwitzerland
- Institute for NeuroscienceDepartment of Health Sciences and TechnologyETH ZurichZurichSwitzerland
- Zurich Neuroscience CenterETH Zurich and University of ZurichZurichSwitzerland
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16
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Keller M, Yaskolka Meir A, Bernhart SH, Gepner Y, Shelef I, Schwarzfuchs D, Tsaban G, Zelicha H, Hopp L, Müller L, Rohde K, Böttcher Y, Stadler PF, Stumvoll M, Blüher M, Kovacs P, Shai I. DNA methylation signature in blood mirrors successful weight-loss during lifestyle interventions: the CENTRAL trial. Genome Med 2020; 12:97. [PMID: 33198820 PMCID: PMC7670623 DOI: 10.1186/s13073-020-00794-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 10/27/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND One of the major challenges in obesity treatment is to explain the high variability in the individual's response to specific dietary and physical activity interventions. With this study, we tested the hypothesis that specific DNA methylation changes reflect individual responsiveness to lifestyle intervention and may serve as epigenetic predictors for a successful weight-loss. METHODS We conducted an explorative genome-wide DNA methylation analysis in blood samples from 120 subjects (90% men, mean ± SD age = 49 ± 9 years, body mass-index (BMI) = 30.2 ± 3.3 kg/m2) from the 18-month CENTRAL randomized controlled trial who underwent either Mediterranean/low-carbohydrate or low-fat diet with or without physical activity. RESULTS Analyses comparing male subjects with the most prominent body weight-loss (responders, mean weight change - 16%) vs. non-responders (+ 2.4%) (N = 10 each) revealed significant variation in DNA methylation of several genes including LRRC27, CRISP2, and SLFN12 (all adj. P < 1 × 10-5). Gene ontology analysis indicated that biological processes such as cell adhesion and molecular functions such as calcium ion binding could have an important role in determining the success of interventional therapies in obesity. Epigenome-wide association for relative weight-loss (%) identified 15 CpGs being negatively correlated with weight change after intervention (all combined P < 1 × 10- 4) including new and also known obesity candidates such as NUDT3 and NCOR2. A baseline DNA methylation score better predicted successful weight-loss [area under the curve (AUC) receiver operating characteristic (ROC) = 0.95-1.0] than predictors such as age and BMI (AUC ROC = 0.56). CONCLUSIONS Body weight-loss following 18-month lifestyle intervention is associated with specific methylation signatures. Moreover, methylation differences in the identified genes could serve as prognostic biomarkers to predict a successful weight-loss therapy and thus contribute to advances in patient-tailored obesity treatment.
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Affiliation(s)
- Maria Keller
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, 04103, Leipzig, Germany
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, 04103, Leipzig, Germany
- IFB Adiposity Diseases, University of Leipzig, Liebigstrasse 19-21, 04103, Leipzig, Germany
| | - Anat Yaskolka Meir
- Faculty of Health Sciences, Ben-Gurion University of the Negev, P.O.Box 653, 84105, Beer Sheva, Israel
| | - Stephan H Bernhart
- Interdisciplinary Center for Bioinformatics, University of Leipzig, 04107, Leipzig, Germany
- Bioinformatics Group, Department of Computer Science, University of Leipzig, 04107, Leipzig, Germany
- Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, 04107, Leipzig, Germany
| | - Yftach Gepner
- Faculty of Health Sciences, Ben-Gurion University of the Negev, P.O.Box 653, 84105, Beer Sheva, Israel
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine and Sylvan Adams Sports Institute, Tel Aviv University, 6997801, Ramat Aviv, Israel
| | - Ilan Shelef
- Soroka University Medical Center, 84101, Beer-Sheva, Israel
| | - Dan Schwarzfuchs
- Soroka University Medical Center, 84101, Beer-Sheva, Israel
- Nuclear Research Center-Negev, 84190, Dimona, Israel
| | - Gal Tsaban
- Faculty of Health Sciences, Ben-Gurion University of the Negev, P.O.Box 653, 84105, Beer Sheva, Israel
| | - Hila Zelicha
- Faculty of Health Sciences, Ben-Gurion University of the Negev, P.O.Box 653, 84105, Beer Sheva, Israel
| | - Lydia Hopp
- Interdisciplinary Center for Bioinformatics, University of Leipzig, 04107, Leipzig, Germany
| | - Luise Müller
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, 04103, Leipzig, Germany
- IFB Adiposity Diseases, University of Leipzig, Liebigstrasse 19-21, 04103, Leipzig, Germany
| | - Kerstin Rohde
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, 04103, Leipzig, Germany
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, 04103, Leipzig, Germany
| | - Yvonne Böttcher
- IFB Adiposity Diseases, University of Leipzig, Liebigstrasse 19-21, 04103, Leipzig, Germany
- Department of Clinical Molecular Biology, Institute of Clinical Medicine, University of Oslo, 0316, Oslo, Norway
- Medical Division, Akershus University Hospital, 1478, Lørenskog, Norway
| | - Peter F Stadler
- Bioinformatics Group, Department of Computer Science, University of Leipzig, 04107, Leipzig, Germany
- Competence Center for Scalable Data Services and Solutions Dresden/Leipzig, German Centre for Integrative Biodiversity Research (iDiv), and Leipzig Research Center for Civilization Diseases, University of Leipzig, 04109, Leipzig, Germany
- Max Planck Institute for Mathematics in the Sciences, 04103, Leipzig, Germany
- Fraunhofer Institute for Cell Therapy and Immunology, 04103, Leipzig, Germany
- Department of Theoretical Chemistry, University of Vienna, 1090, Vienna, Austria
- Center for RNA in Technology and Health, University of Copenhagen, 1871, Frederiksberg, Denmark
- Santa Fe Institute, Santa Fe, NM, 87501, USA
| | - Michael Stumvoll
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, 04103, Leipzig, Germany
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, 04103, Leipzig, Germany
- IFB Adiposity Diseases, University of Leipzig, Liebigstrasse 19-21, 04103, Leipzig, Germany
- Deutsches Zentrum für Diabetesforschung, Helmholtz Zentrum München, Neuherberg, 85764, USA
| | - Matthias Blüher
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, 04103, Leipzig, Germany
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, 04103, Leipzig, Germany
| | - Peter Kovacs
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, 04103, Leipzig, Germany.
| | - Iris Shai
- Faculty of Health Sciences, Ben-Gurion University of the Negev, P.O.Box 653, 84105, Beer Sheva, Israel.
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17
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Castellano-Castillo D, Ramos-Molina B, Cardona F, Queipo-Ortuño MI. Epigenetic regulation of white adipose tissue in the onset of obesity and metabolic diseases. Obes Rev 2020; 21:e13054. [PMID: 32542987 DOI: 10.1111/obr.13054] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Revised: 05/07/2020] [Accepted: 05/07/2020] [Indexed: 12/16/2022]
Abstract
Obesity and metabolic syndrome are among the most prevalent health problems in developed countries. The impairment of adipose tissue (AT) function is partially responsible for the aetiology of these conditions. Epigenetics refers to several processes that add modifications to either the DNA or chromatin architectural proteins (histones). These processes can regulate gene expression, chromatin compaction and DNA repair. Epigenetics includes mechanisms by which the cell can adapt the cellular response to the environmental conditions. Here, we review the role of epigenetics in the onset of obesity and related metabolic disorders, with special focus on AT. We highlight the importance of nutrients and lifestyle in the regulation of the epigenetic mechanisms and how they can impact on AT plasticity and function in obesity and metabolic diseases. Thus, the epigenetic landscape emerges as a fine-tune regulator of the cellular responses according to the energetic, metabolic and physiological conditions of the cell. Alterations in metabolic pathways deregulated during obesity and metabolic syndrome could in part explain the disturbances in the epigenetic marks of the AT in these disorders. The understanding of how this epigenetic deregulation may affect AT biology and function could lead to new therapeutic approaches based on epigenetic strategies.
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Affiliation(s)
- Daniel Castellano-Castillo
- Hospital Clínico Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, Málaga, Spain
| | - Bruno Ramos-Molina
- Hospital Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), Murcia, Spain
| | - Fernando Cardona
- Hospital Clínico Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, Málaga, Spain
| | - María Isabel Queipo-Ortuño
- Unidad de Gestión Clínica Intercentros de Oncología Medica, Hospitales Universitarios Regional y Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA)-CIMES-UMA, Universidad de Málaga, Málaga, Spain
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18
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Knudsen GTM, Dharmage S, Janson C, Abramson MJ, Benediktsdóttir B, Malinovschi A, Skulstad SM, Bertelsen RJ, Real FG, Schlünssen V, Jõgi NO, Sánchez-Ramos JL, Holm M, Garcia-Aymerich J, Forsberg B, Svanes C, Johannessen A. Parents' smoking onset before conception as related to body mass index and fat mass in adult offspring: Findings from the RHINESSA generation study. PLoS One 2020; 15:e0235632. [PMID: 32628720 PMCID: PMC7337347 DOI: 10.1371/journal.pone.0235632] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 06/18/2020] [Indexed: 01/11/2023] Open
Abstract
Emerging evidence suggests that parents' preconception exposures may influence offspring health. We aimed to investigate maternal and paternal smoking onset in specific time windows in relation to offspring body mass index (BMI) and fat mass index (FMI). We investigated fathers (n = 2111) and mothers (n = 2569) aged 39-65 years, of the population based RHINE and ECRHS studies, and their offspring aged 18-49 years (n = 6487, mean age 29.6 years) who participated in the RHINESSA study. BMI was calculated from self-reported height and weight, and FMI was estimated from bioelectrical impedance measures in a subsample. Associations with parental smoking were analysed with generalized linear regression adjusting for parental education and clustering by study centre and family. Interactions between offspring sex were analysed, as was mediation by parental pack years, parental BMI, offspring smoking and offspring birthweight. Fathers' smoking onset before conception of the offspring (onset ≥15 years) was associated with higher BMI in the offspring when adult (β 0.551, 95%CI: 0.174-0.929, p = 0.004). Mothers' preconception and postnatal smoking onset was associated with higher offspring BMI (onset <15 years: β1.161, 95%CI 0.378-1.944; onset ≥15 years: β0.720, 95%CI 0.293-1.147; onset after offspring birth: β2.257, 95%CI 1.220-3.294). However, mediation analysis indicated that these effects were fully mediated by parents' postnatal pack years, and partially mediated by parents' BMI and offspring smoking. Regarding FMI, sons of smoking fathers also had higher fat mass (onset <15 years β1.604, 95%CI 0.269-2.939; onset ≥15 years β2.590, 95%CI 0.544-4.636; and onset after birth β2.736, 95%CI 0.621-4.851). There was no association between maternal smoking and offspring fat mass. We found that parents' smoking before conception was associated with higher BMI in offspring when they reached adulthood, but that these effects were mediated through parents' pack years, suggesting that cumulative smoking exposure during offspring's childhood may elicit long lasting effects on offspring BMI.
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Affiliation(s)
- Gerd Toril Mørkve Knudsen
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Occupational Medicine, Haukeland University Hospital, Bergen, Norway
| | - Shyamali Dharmage
- School of Population and Global Health, The University of Melbourne, Carlton, Australia
| | - Christer Janson
- Department of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Michael J. Abramson
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Australia
| | - Bryndís Benediktsdóttir
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Department of Sleep Medicine, Landspitali, Reykjavik, Iceland
| | - Andrei Malinovschi
- Department of Medical Sciences: Clinical Physiology, Uppsala University, Uppsala, Sweden
| | - Svein Magne Skulstad
- Department of Occupational Medicine, Haukeland University Hospital, Bergen, Norway
| | - Randi Jacobsen Bertelsen
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Oral Health Center of Expertise in Western Norway, Hordaland, Bergen, Norway
| | | | - Vivi Schlünssen
- Department of Public Health, Work, Environment and Health, Danish Ramazzini Centre, Aarhus University Denmark, Aarhus, Denmark
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Nils Oskar Jõgi
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Occupational Medicine, Haukeland University Hospital, Bergen, Norway
- Lung Clinic, Tartu University Hospital, Tartu, Estonia
| | | | - Mathias Holm
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Judith Garcia-Aymerich
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Bertil Forsberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Cecilie Svanes
- Department of Occupational Medicine, Haukeland University Hospital, Bergen, Norway
- Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Ane Johannessen
- Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
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19
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Genetic control of non-genetic inheritance in mammals: state-of-the-art and perspectives. Mamm Genome 2020; 31:146-156. [PMID: 32529318 PMCID: PMC7369129 DOI: 10.1007/s00335-020-09841-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 06/03/2020] [Indexed: 12/12/2022]
Abstract
Thought to be directly and uniquely dependent from genotypes, the ontogeny of individual phenotypes is much more complicated. Individual genetics, environmental exposures, and their interaction are the three main determinants of individual's phenotype. This picture has been further complicated a decade ago when the Lamarckian theory of acquired inheritance has been rekindled with the discovery of epigenetic inheritance, according to which acquired phenotypes can be transmitted through fertilization and affect phenotypes across generations. The results of Genome-Wide Association Studies have also highlighted a big degree of missing heritability in genetics and have provided hints that not only acquired phenotypes, but also individual's genotypes affect phenotypes intergenerationally through indirect genetic effects. Here, we review available examples of indirect genetic effects in mammals, what is known of the underlying molecular mechanisms and their potential impact for our understanding of missing heritability, phenotypic variation. and individual disease risk.
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20
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Qian J, Chen Q, Ward SM, Duan E, Zhang Y. Impacts of Caffeine during Pregnancy. Trends Endocrinol Metab 2020; 31:218-227. [PMID: 31818639 PMCID: PMC7035149 DOI: 10.1016/j.tem.2019.11.004] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 11/10/2019] [Accepted: 11/12/2019] [Indexed: 12/19/2022]
Abstract
Epidemiological studies have revealed that caffeine consumption during pregnancy is associated with adverse gestational outcomes, yet the underlying mechanisms remain obscure. Recent animal studies with physiologically relevant dosages have begun to dissect adverse effects of caffeine during pregnancy with respect to oviduct contractility, embryo development, uterine receptivity, and placentation that jointly contribute to pregnancy complications. Interestingly, caffeine's effects are highly variable between individual animals under well-controlled experimental settings, suggesting the possibility of epigenetic regulation of these phenotypes, in addition to genetic variants. Moreover, caffeine exposure during sensitive windows of pregnancy may induce epigenetic changes in the developing fetus or even the germ cells to cause adult-onset diseases in subsequent generations. We discuss these research frontiers in light of emerging data.
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Affiliation(s)
- Jingjing Qian
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Qi Chen
- Division of Biomedical Sciences, School of Medicine, University of California, Riverside, CA 92521, USA
| | - Sean M Ward
- Department of Physiology and Cell Biology, School of Medicine, University of Nevada, Reno, NV 89557, USA
| | - Enkui Duan
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Ying Zhang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
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21
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Advances in epigenetics link genetics to the environment and disease. Nature 2019; 571:489-499. [DOI: 10.1038/s41586-019-1411-0] [Citation(s) in RCA: 566] [Impact Index Per Article: 94.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Accepted: 06/14/2019] [Indexed: 12/16/2022]
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22
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Skinner M, Lumey L, Fleming TP, Sapienza C, Hoyo C, Aronica L, Thompson J, Nichol PF. RW-2018-Research Workshop: The Effect of Nutrition on Epigenetic Status, Growth, and Health. JPEN J Parenter Enteral Nutr 2019; 43:627-637. [PMID: 30997688 PMCID: PMC6625918 DOI: 10.1002/jpen.1536] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 02/26/2019] [Indexed: 12/22/2022]
Abstract
The goal of the 2018 American Society for Parenteral and Enteral Nutrition (ASPEN) Research Workshop was to explore the influence of nutrition and dietary exposure to xenobiotics on the epigenome during critical periods in development and how these exposures influence both disease incidence and severity transgenerationally. A growing compendium of research indicates that the incidence and severity of common and costly human diseases may be influenced by dietary exposures and deficiencies that modify the epigenome. The greatest periods of vulnerability to these exposures are the periconception period and early childhood. Xenobiotics in the food chain, protein malnutrition, and methyl donor deficiencies could have a profound bearing on the risk of developing heart disease, diabetes, obesity, hypertension, and mental illness over multiple generations. The financial impact and the life burden of these diseases are enormous. These and other aspects of nutrition, epigenetics, and health are explored in this research workshop.
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Affiliation(s)
- Michael Skinner
- Center for Reproductive Biology School of Biological Sciences, Washington State University Pullman WA
| | - L.H. Lumey
- Department of Epidemiology Mailman School of Public Health Columbia University Medical Center, New York, NY
| | - Tom P. Fleming
- Biological Sciences, University of Southampton, Southampton, UK
| | - Carmen Sapienza
- Fels Institute for Cancer Research and Molecular Biology Lewis Katz School of Medicine Temple University Philadelphia, PA
| | - Cathrine Hoyo
- Department of Biological Sciences, Center for Human Health and the Environment, Director, Epidemiology and Environmental Epigenomics Laboratory, North Carolina State University, Raleigh, NC
| | - Lucia Aronica
- Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, California, USA
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | | | - Peter F. Nichol
- Department of Surgery, Division of Pediatric Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI
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23
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Landen S, Voisin S, Craig JM, McGee SL, Lamon S, Eynon N. Genetic and epigenetic sex-specific adaptations to endurance exercise. Epigenetics 2019; 14:523-535. [PMID: 30957644 PMCID: PMC6557612 DOI: 10.1080/15592294.2019.1603961] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 02/03/2019] [Accepted: 04/02/2019] [Indexed: 01/01/2023] Open
Abstract
In recent years, the interest in personalised interventions such as medicine, nutrition, and exercise is rapidly rising to maximize health outcomes and ensure the most appropriate treatments. Exercising regularly is recommended for both healthy and diseased populations to improve health. However, there are sex-specific adaptations to exercise that often are not taken into consideration. While endurance exercise training alters the human skeletal muscle epigenome and subsequent gene expression, it is still unknown whether it does so differently in men and women, potentially leading to sex-specific physiological adaptations. Elucidating sex differences in genetics, epigenetics, gene regulation and expression in response to exercise will have great health implications, as it may enable gene targets in future clinical interventions and may better individualised interventions. This review will cover this topic and highlight the recent findings of sex-specific genetic, epigenetic, and gene expression studies, address the gaps in the field, and offer recommendations for future research.
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Affiliation(s)
- Shanie Landen
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, Australia
| | - Sarah Voisin
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, Australia
| | - Jeffrey M Craig
- Centre for Molecular and Medical Research, Deakin University, Geelong Waurn Ponds Campus, Geelong, Australia
- Environmental & Genetic Epidemiology Research, Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, Australia
| | - Sean L. McGee
- Metabolic Research Unit, School of Medicine and Centre for Molecular and Medical Research, Deakin University, Geelong, Australia
| | - Séverine Lamon
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Nir Eynon
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, Australia
- Royal Children’s Hospital, Murdoch Children’s Research Institute, Melbourne, Australia
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24
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Abstract
The prevalence of obesity has increased worldwide in the past ~50 years, reaching pandemic levels. Obesity represents a major health challenge because it substantially increases the risk of diseases such as type 2 diabetes mellitus, fatty liver disease, hypertension, myocardial infarction, stroke, dementia, osteoarthritis, obstructive sleep apnoea and several cancers, thereby contributing to a decline in both quality of life and life expectancy. Obesity is also associated with unemployment, social disadvantages and reduced socio-economic productivity, thus increasingly creating an economic burden. Thus far, obesity prevention and treatment strategies - both at the individual and population level - have not been successful in the long term. Lifestyle and behavioural interventions aimed at reducing calorie intake and increasing energy expenditure have limited effectiveness because complex and persistent hormonal, metabolic and neurochemical adaptations defend against weight loss and promote weight regain. Reducing the obesity burden requires approaches that combine individual interventions with changes in the environment and society. Therefore, a better understanding of the remarkable regional differences in obesity prevalence and trends might help to identify societal causes of obesity and provide guidance on which are the most promising intervention strategies.
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Affiliation(s)
- Matthias Blüher
- Department of Medicine, University of Leipzig, Leipzig, Germany.
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25
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Yang CH, Andrew Pospisilik J. Polyphenism - A Window Into Gene-Environment Interactions and Phenotypic Plasticity. Front Genet 2019; 10:132. [PMID: 30863426 PMCID: PMC6399471 DOI: 10.3389/fgene.2019.00132] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 02/08/2019] [Indexed: 02/01/2023] Open
Abstract
Phenotypic plasticity describes the capacity of a single genotype to exhibit a variety of phenotypes as well as the mechanisms that translate environmental variation into reproducible phenotypic modifications. Polyphenism describes the unique sub-type of phenotypic plasticity where the outputs are not continuous, but rather discrete and multi-stable, resulting in several distinct phenotypes on the same genetic background. Epigenetic regulation underpins the stable phenotypic divergences that exemplify polyphenism and their evolutionary origin. Here, we briefly summarize the apparent ubiquity and diversity of polyphenisms across the animal kingdom. We briefly review the best characterized models across taxa and highlight the consistent themes both in their epidemiology and what little we know about molecular mechanisms. Finally, we highlight work that supports the possibility that humans may have a subtle polyphenism at the level of metabolism.
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Affiliation(s)
- Chih-Hsiang Yang
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.,Van Andel Research Institute, Grand Rapids, MI, United States
| | - John Andrew Pospisilik
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.,Van Andel Research Institute, Grand Rapids, MI, United States
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26
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Arpón A, Milagro FI, Ramos-Lopez O, Mansego ML, Santos JL, Riezu-Boj JI, Martínez JA. Epigenome-wide association study in peripheral white blood cells involving insulin resistance. Sci Rep 2019; 9:2445. [PMID: 30792424 PMCID: PMC6385280 DOI: 10.1038/s41598-019-38980-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 01/11/2019] [Indexed: 02/06/2023] Open
Abstract
Insulin resistance (IR) is a hallmark of type 2 diabetes, metabolic syndrome and cardiometabolic risk. An epigenetic phenomena such as DNA methylation might be involved in the onset and development of systemic IR. The aim of this study was to explore the genetic DNA methylation levels in peripheral white blood cells with the objective of identifying epigenetic signatures associated with IR measured by the Homeostatic Model Assessment of IR (HOMA-IR) following an epigenome-wide association study approach. DNA methylation levels were assessed using Infinium Methylation Assay (Illumina), and were associated with HOMA-IR values of participants from the Methyl Epigenome Network Association (MENA) project, finding statistical associations for at least 798 CpGs. A stringent statistical analysis revealed that 478 of them showed a differential methylation pattern between individuals with HOMA-IR ≤ 3 and > 3. ROC curves of top four CpGs out of 478 allowed differentiating individuals between both groups (AUC≈0.88). This study demonstrated the association between DNA methylation in some specific CpGs and HOMA-IR values that will help to the understanding and in the development of new strategies for personalized approaches to predict and prevent IR-associated diseases.
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Affiliation(s)
- Ana Arpón
- University of Navarra, Department of Nutrition, Food Sciences and Physiology & Centre for Nutrition Research, Pamplona, Spain
| | - Fermín I Milagro
- University of Navarra, Department of Nutrition, Food Sciences and Physiology & Centre for Nutrition Research, Pamplona, Spain.,Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, Madrid, Spain
| | - Omar Ramos-Lopez
- University of Navarra, Department of Nutrition, Food Sciences and Physiology & Centre for Nutrition Research, Pamplona, Spain
| | - M Luisa Mansego
- University of Navarra, Department of Nutrition, Food Sciences and Physiology & Centre for Nutrition Research, Pamplona, Spain
| | - José Luis Santos
- Department of Nutrition, Diabetes and Metabolism, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - José-Ignacio Riezu-Boj
- University of Navarra, Department of Nutrition, Food Sciences and Physiology & Centre for Nutrition Research, Pamplona, Spain. .,Navarra Institute for Health Research (IdiSNa), Pamplona, Spain.
| | - J Alfredo Martínez
- University of Navarra, Department of Nutrition, Food Sciences and Physiology & Centre for Nutrition Research, Pamplona, Spain.,Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, Madrid, Spain.,Navarra Institute for Health Research (IdiSNa), Pamplona, Spain.,Madrid Institute for Advanced Studies (IMDEA), IMDEA Food, Madrid, Spain
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27
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Castellano-Castillo D, Moreno-Indias I, Sanchez-Alcoholado L, Ramos-Molina B, Alcaide-Torres J, Morcillo S, Ocaña-Wilhelmi L, Tinahones F, Queipo-Ortuño MI, Cardona F. Altered Adipose Tissue DNA Methylation Status in Metabolic Syndrome: Relationships Between Global DNA Methylation and Specific Methylation at Adipogenic, Lipid Metabolism and Inflammatory Candidate Genes and Metabolic Variables. J Clin Med 2019; 8:jcm8010087. [PMID: 30642114 PMCID: PMC6352101 DOI: 10.3390/jcm8010087] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 01/09/2019] [Accepted: 01/10/2019] [Indexed: 02/07/2023] Open
Abstract
Metabolic syndrome (MetS) has been postulated to increase the risk for type 2 diabetes, cardiovascular disease and cancer. Adipose tissue (AT) plays an important role in metabolic homeostasis, and AT dysfunction has an active role in metabolic diseases. MetS is closely related to lifestyle and environmental factors. Epigenetics has emerged as an interesting landscape to evaluate the possible interconnection between AT and metabolic disease, since it can be modulated by environmental factors and metabolic status. The aim of this study was to determine whether MetS has an impact on the global DNA methylation pattern and the DNA methylation of several genes related to adipogenesis (PPARG, PPARA), lipid metabolism (RXRA, SREBF2, SREBF1, SCD, LPL, LXRb), and inflammation (LRP1 C3, LEP and TNF) in visceral adipose tissue. LPL and TNF DNA methylation values were significantly different in the control-case comparisons, with higher and lower methylation respectively in the MetS group. Negative correlations were found between global DNA methylation (measured by LINE-1 methylation levels) and the metabolic deterioration and glucose levels. There were associations among variables of MetS, BMI, and HOMA-IR with DNA methylation at several CpG positions for the studied genes. In particular, there was a strong positive association between serum triglyceride levels (TG) with PPARA and LPL methylation levels. TNF methylation was negatively associated with the metabolic worsening and could be an important factor in preventing MetS occurrence according to logistic regression analysis. Therefore, global DNA methylation and methylation at specific genes related to adipogenesis, lipid metabolism and inflammation are related to the etiology of MetS and might explain in part some of the features associated to metabolic disorders.
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Affiliation(s)
- Daniel Castellano-Castillo
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, 29010 Málaga, Spain.
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición, CIBERobn, 28029 Madrid, Spain.
| | - Isabel Moreno-Indias
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, 29010 Málaga, Spain.
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición, CIBERobn, 28029 Madrid, Spain.
| | - Lidia Sanchez-Alcoholado
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, 29010 Málaga, Spain.
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición, CIBERobn, 28029 Madrid, Spain.
| | - Bruno Ramos-Molina
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, 29010 Málaga, Spain.
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición, CIBERobn, 28029 Madrid, Spain.
| | - Juan Alcaide-Torres
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, 29010 Málaga, Spain.
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición, CIBERobn, 28029 Madrid, Spain.
| | - Sonsoles Morcillo
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, 29010 Málaga, Spain.
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición, CIBERobn, 28029 Madrid, Spain.
| | - Luis Ocaña-Wilhelmi
- Unidad de Cirugía Metabólica, Hospital Clínico Virgen de la Victoria, 29010 Málaga, Spain.
| | - Francisco Tinahones
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, 29010 Málaga, Spain.
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición, CIBERobn, 28029 Madrid, Spain.
| | - María Isabel Queipo-Ortuño
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, 29010 Málaga, Spain.
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición, CIBERobn, 28029 Madrid, Spain.
- Unidad de Gestión Clínica de Oncología Médica del Hospital Virgen de la Victoria, 29010 Málaga, Spain.
| | - Fernando Cardona
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga, 29010 Málaga, Spain.
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición, CIBERobn, 28029 Madrid, Spain.
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