201
|
Ciccarone F, Malavolta M, Calabrese R, Guastafierro T, Bacalini MG, Reale A, Franceschi C, Capri M, Hervonen A, Hurme M, Grubeck‐Loebenstein B, Koller B, Bernhardt J, Schӧn C, Slagboom PE, Toussaint O, Sikora E, Gonos ES, Breusing N, Grune T, Jansen E, Dollé M, Moreno‐Villanueva M, Sindlinger T, Bürkle A, Zampieri M, Caiafa P. Age-dependent expression of DNMT1 and DNMT3B in PBMCs from a large European population enrolled in the MARK-AGE study. Aging Cell 2016; 15:755-65. [PMID: 27169697 PMCID: PMC4933658 DOI: 10.1111/acel.12485] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/21/2016] [Indexed: 01/31/2023] Open
Abstract
Aging is associated with alterations in the content and patterns of DNA methylation virtually throughout the entire human lifespan. Reasons for these variations are not well understood. However, several lines of evidence suggest that the epigenetic instability in aging may be traced back to the alteration of the expression of DNA methyltransferases. Here, the association of the expression of DNA methyltransferases DNMT1 and DNMT3B with age has been analysed in the context of the MARK-AGE study, a large-scale cross-sectional study of the European general population. Using peripheral blood mononuclear cells, we assessed the variation of DNMT1 and DNMT3B gene expression in more than two thousand age-stratified women and men (35-75 years) recruited across eight European countries. Significant age-related changes were detected for both transcripts. The level of DNMT1 gradually dropped with aging but this was only observed up to the age of 64 years. By contrast, the expression of DNMT3B decreased linearly with increasing age and this association was particularly evident in females. We next attempted to trace the age-related changes of both transcripts to the influence of different variables that have an impact on changes of their expression in the population, including demographics, dietary and health habits, and clinical parameters. Our results indicate that age affects the expression of DNMT1 and DNMT3B as an almost independent variable in respect of all other variables evaluated.
Collapse
Affiliation(s)
- Fabio Ciccarone
- Faculty of Pharmacy and MedicineDepartment of Cellular Biotechnologies and HematologySapienza University of RomeRome00161Italy
- Pasteur Institute‐Fondazione Cenci BolognettiRome00161Italy
- Present address: Department of BiologyUniversity of Rome ‘Tor Vergata’Via della Ricerca Scientifica 100133RomeItaly
| | - Marco Malavolta
- National Institute of Health and Science on Aging (INRCA)Nutrition and Ageing CentreScientific and Technological Research Area60100AnconaItaly
| | - Roberta Calabrese
- Faculty of Pharmacy and MedicineDepartment of Cellular Biotechnologies and HematologySapienza University of RomeRome00161Italy
- Pasteur Institute‐Fondazione Cenci BolognettiRome00161Italy
| | - Tiziana Guastafierro
- Faculty of Pharmacy and MedicineDepartment of Cellular Biotechnologies and HematologySapienza University of RomeRome00161Italy
- Pasteur Institute‐Fondazione Cenci BolognettiRome00161Italy
| | - Maria Giulia Bacalini
- Department of Experimental, Diagnostic and Specialty MedicineAlma Mater Studiorum‐University of BolognaBologna40126Italy
- CIG‐Interdepartmental Center ‘L. Galvani’Alma Mater StudiorumUniversity of Bologna40126BolognaItaly
| | - Anna Reale
- Faculty of Pharmacy and MedicineDepartment of Cellular Biotechnologies and HematologySapienza University of RomeRome00161Italy
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty MedicineAlma Mater Studiorum‐University of BolognaBologna40126Italy
- CIG‐Interdepartmental Center ‘L. Galvani’Alma Mater StudiorumUniversity of Bologna40126BolognaItaly
| | - Miriam Capri
- Department of Experimental, Diagnostic and Specialty MedicineAlma Mater Studiorum‐University of BolognaBologna40126Italy
- CIG‐Interdepartmental Center ‘L. Galvani’Alma Mater StudiorumUniversity of Bologna40126BolognaItaly
| | - Antti Hervonen
- The School of MedicineThe University of Tampere33014TampereFinland
| | - Mikko Hurme
- The School of MedicineThe University of Tampere33014TampereFinland
| | | | - Bernhard Koller
- Department for Internal MedicineUniversity Teaching Hospital Hall in TirolMilserstr. 106060Hall in TirolAustria
| | | | | | - P. Eline Slagboom
- Department of Molecular EpidemiologyLeiden University Medical CentreLeidenThe Netherlands
| | - Olivier Toussaint
- Research Unit on Cellular BiologyUniversity of NamurRue de Bruxelles, 61NamurB‐5000Belgium
| | - Ewa Sikora
- Laboratory of the Molecular Bases of AgeingNencki Institute of Experimental BiologyPolish Academy of Sciences3 Pasteur Street02‐093WarsawPoland
| | - Efstathios S. Gonos
- National Hellenic Research FoundationInstitute of BiologyMedicinal Chemistry and BiotechnologyAthensGreece
| | - Nicolle Breusing
- Institute of Nutritional Medicine (180c)University of HohenheimFruwirthstraße 1270599StuttgartGermany
| | - Tilman Grune
- German Institute of Human Nutrition Potsdam‐Rehbruecke (DIfE)Arthur‐Scheunert‐Allee 114‐11614558NuthetalGermany
| | - Eugène Jansen
- Centre for Health ProtectionNational Institute for Public Health and the EnvironmentPO Box 13720BA BilthovenThe Netherlands
| | - Martijn Dollé
- Centre for Health ProtectionNational Institute for Public Health and the EnvironmentPO Box 13720BA BilthovenThe Netherlands
| | | | - Thilo Sindlinger
- Molecular Toxicology GroupDepartment of BiologyUniversity of Konstanz78457KonstanzGermany
| | - Alexander Bürkle
- Molecular Toxicology GroupDepartment of BiologyUniversity of Konstanz78457KonstanzGermany
| | - Michele Zampieri
- Faculty of Pharmacy and MedicineDepartment of Cellular Biotechnologies and HematologySapienza University of RomeRome00161Italy
- Pasteur Institute‐Fondazione Cenci BolognettiRome00161Italy
| | - Paola Caiafa
- Faculty of Pharmacy and MedicineDepartment of Cellular Biotechnologies and HematologySapienza University of RomeRome00161Italy
- Pasteur Institute‐Fondazione Cenci BolognettiRome00161Italy
| |
Collapse
|
202
|
Turgeon M, Oualkacha K, Ciampi A, Miftah H, Dehghan G, Zanke BW, Benedet AL, Rosa-Neto P, Greenwood CM, Labbe A. Principal component of explained variance: An efficient and optimal data dimension reduction framework for association studies. Stat Methods Med Res 2016; 27:1331-1350. [PMID: 27460538 DOI: 10.1177/0962280216660128] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The genomics era has led to an increase in the dimensionality of data collected in the investigation of biological questions. In this context, dimension-reduction techniques can be used to summarise high-dimensional signals into low-dimensional ones, to further test for association with one or more covariates of interest. This paper revisits one such approach, previously known as principal component of heritability and renamed here as principal component of explained variance (PCEV). As its name suggests, the PCEV seeks a linear combination of outcomes in an optimal manner, by maximising the proportion of variance explained by one or several covariates of interest. By construction, this method optimises power; however, due to its computational complexity, it has unfortunately received little attention in the past. Here, we propose a general analytical PCEV framework that builds on the assets of the original method, i.e. conceptually simple and free of tuning parameters. Moreover, our framework extends the range of applications of the original procedure by providing a computationally simple strategy for high-dimensional outcomes, along with exact and asymptotic testing procedures that drastically reduce its computational cost. We investigate the merits of the PCEV using an extensive set of simulations. Furthermore, the use of the PCEV approach is illustrated using three examples taken from the fields of epigenetics and brain imaging.
Collapse
Affiliation(s)
- Maxime Turgeon
- 1 Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada.,2 Lady Davis Institute for Medical Research, Montréal, Quebec, Canada.,3 Ludmer Centre for Neuroinformatics and Mental Health, Montréal, Quebec, Canada
| | - Karim Oualkacha
- 4 Département de mathématiques, Université du Québec à Montréal, Montreal, Quebec, Canada
| | - Antonio Ciampi
- 1 Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada.,3 Ludmer Centre for Neuroinformatics and Mental Health, Montréal, Quebec, Canada
| | - Hanane Miftah
- 4 Département de mathématiques, Université du Québec à Montréal, Montreal, Quebec, Canada
| | - Golsa Dehghan
- 1 Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada
| | | | - Andréa L Benedet
- 6 Translational Neuroimaging Laboratory, McGill Center for Studies in Aging, Montreal, Quebec, Canada
| | - Pedro Rosa-Neto
- 6 Translational Neuroimaging Laboratory, McGill Center for Studies in Aging, Montreal, Quebec, Canada.,7 Department of Psychiatry, McGill University, Montreal, Quebec, Canada.,8 Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.,11 Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Celia Mt Greenwood
- 1 Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada.,2 Lady Davis Institute for Medical Research, Montréal, Quebec, Canada.,3 Ludmer Centre for Neuroinformatics and Mental Health, Montréal, Quebec, Canada.,9 Department of Human Genetics, McGill University, Montreal, Quebec, Canada.,10 Department of Oncology, McGill University, Montreal, Quebec, Canada
| | - Aurélie Labbe
- 1 Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada.,3 Ludmer Centre for Neuroinformatics and Mental Health, Montréal, Quebec, Canada.,7 Department of Psychiatry, McGill University, Montreal, Quebec, Canada.,11 Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | | |
Collapse
|
203
|
Zhu X, Li J, Deng S, Yu K, Liu X, Deng Q, Sun H, Zhang X, He M, Guo H, Chen W, Yuan J, Zhang B, Kuang D, He X, Bai Y, Han X, Liu B, Li X, Yang L, Jiang H, Zhang Y, Hu J, Cheng L, Luo X, Mei W, Zhou Z, Sun S, Zhang L, Liu C, Guo Y, Zhang Z, Hu FB, Liang L, Wu T. Genome-Wide Analysis of DNA Methylation and Cigarette Smoking in a Chinese Population. ENVIRONMENTAL HEALTH PERSPECTIVES 2016; 124:966-73. [PMID: 26756918 PMCID: PMC4937856 DOI: 10.1289/ehp.1509834] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Accepted: 12/22/2015] [Indexed: 05/06/2023]
Abstract
BACKGROUND Smoking is a risk factor for many human diseases. DNA methylation has been related to smoking, but genome-wide methylation data for smoking in Chinese populations is limited. OBJECTIVES We aimed to investigate epigenome-wide methylation in relation to smoking in a Chinese population. METHODS We measured the methylation levels at > 485,000 CpG sites (CpGs) in DNA from leukocytes using a methylation array and conducted a genome-wide meta-analysis of DNA methylation and smoking in a total of 596 Chinese participants. We further evaluated the associations of smoking-related CpGs with internal polycyclic aromatic hydrocarbon (PAH) biomarkers and their correlations with the expression of corresponding genes. RESULTS We identified 318 CpGs whose methylation levels were associated with smoking at a genome-wide significance level (false discovery rate < 0.05), among which 161 CpGs annotated to 123 genes were not associated with smoking in recent studies of Europeans and African Americans. Of these smoking-related CpGs, methylation levels at 80 CpGs showed significant correlations with the expression of corresponding genes (including RUNX3, IL6R, PTAFR, ANKRD11, CEP135 and CDH23), and methylation at 15 CpGs was significantly associated with urinary 2-hydroxynaphthalene, the most representative internal monohydroxy-PAH biomarker for smoking. CONCLUSION We identified DNA methylation markers associated with smoking in a Chinese population, including some markers that were also correlated with gene expression. Exposure to naphthalene, a byproduct of tobacco smoke, may contribute to smoking-related methylation. CITATION Zhu X, Li J, Deng S, Yu K, Liu X, Deng Q, Sun H, Zhang X, He M, Guo H, Chen W, Yuan J, Zhang B, Kuang D, He X, Bai Y, Han X, Liu B, Li X, Yang L, Jiang H, Zhang Y, Hu J, Cheng L, Luo X, Mei W, Zhou Z, Sun S, Zhang L, Liu C, Guo Y, Zhang Z, Hu FB, Liang L, Wu T. 2016. Genome-wide analysis of DNA methylation and cigarette smoking in Chinese. Environ Health Perspect 124:966-973; http://dx.doi.org/10.1289/ehp.1509834.
Collapse
Affiliation(s)
- Xiaoyan Zhu
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Li
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Siyun Deng
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kuai Yu
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xuezhen Liu
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qifei Deng
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huizhen Sun
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meian He
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huan Guo
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Yuan
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bing Zhang
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dan Kuang
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaosheng He
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yansen Bai
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xu Han
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bing Liu
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoliang Li
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liangle Yang
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Haijing Jiang
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yizhi Zhang
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jie Hu
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Longxian Cheng
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoting Luo
- Department of Cardiology, People’s Hospital of Zhuhai, Zhuhai, China
| | - Wenhua Mei
- Department of Cardiology, People’s Hospital of Zhuhai, Zhuhai, China
| | - Zhiming Zhou
- Department of Cardiology, Bao’an Hospital, Shenzhen, China
| | - Shunchang Sun
- Department of Cardiology, Bao’an Hospital, Shenzhen, China
| | - Liyun Zhang
- Department of Cardiology, Wuhan Central Hospital, Wuhan, China
| | - Chuanyao Liu
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanjun Guo
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhihong Zhang
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Frank B. Hu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Tangchun Wu
- Department of Occupational and Environmental Health, and
- Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Address correspondence to T. Wu, Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd., Wuhan 430030, Hubei, China. Telephone: 86-27-83692347. E-mail:
| |
Collapse
|
204
|
Association of semen cytokines with reactive oxygen species and histone transition abnormalities. J Assist Reprod Genet 2016; 33:1239-46. [PMID: 27364628 PMCID: PMC5010814 DOI: 10.1007/s10815-016-0756-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Accepted: 06/06/2016] [Indexed: 11/10/2022] Open
Abstract
Purpose The aim of this study is to investigate the relationships among reactive oxygen species (ROS) elevation, histone transition, and seminal cytokine concentrations. Methods Total levels of ROS in semen samples from 6560 men were measured. From this sample, 118 cases with high ROS and 106 controls were recruited. Basic semen parameters and histone-to-protamine ratios were analyzed, 400 semen cytokine and receptor alterations were assayed by protein chip, and finally 18 cytokines were validated in each sample using a Bio-Plex Cytokine assay. Results The results showed that the seminal ROS concentration was associated with abnormalities in the sperm histone transition. Compared with controls, 93 cytokines had significant alterations in the high ROS cases, with 14 of them further verified in individual samples. The concentrations of CXCL5, CXCL16, CXCL8, IL-1b, IL-10, CSF3, CCL3, and TNF-α were significantly correlated with the histone transition ratio. In addition, IL-16 showed significantly different concentrations in controls, normal semen with high ROS levels, and abnormal semen with high ROS levels. Conclusions Semen ROS are associated with abnormalities in sperm histone transition. CXCL5, CXCL8, IL-16, CCL8, CCL22, CCL20, CXCL16, IL-1B, IL-6, IL-7, IL-10, CSF3, CCL3, CCL4, and TNF-α all have elevated concentrations in semen with high ROS levels. These data might help to explain the mechanisms behind the increase in the levels of ROS and seminal cytokines and their relationship with defective spermatogenesis.
Collapse
|
205
|
Żądzińska E, Kozieł S, Borowska-Strugińska B, Rosset I, Sitek A, Lorkiewicz W. Parental smoking during pregnancy shortens offspring's legs. HOMO-JOURNAL OF COMPARATIVE HUMAN BIOLOGY 2016; 67:498-507. [PMID: 27908489 DOI: 10.1016/j.jchb.2016.06.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Accepted: 06/17/2016] [Indexed: 10/21/2022]
Abstract
One of the most severe detrimental environmental factors acting during pregnancy is foetal smoke exposure. The aim of this study was to assess the effect of maternal, paternal and parental smoking during pregnancy on relative leg length in 7- to 10-year-old children. The research conducted in the years 2001-2002 included 978 term-born children, 348 boys and 630 girls, at the age of 7-10 years. Information concerning the birth weight of a child was obtained from the health records of the women. Information about the mother's and the father's smoking habits during pregnancy and about the mothers' education level was obtained from a questionnaire. The influence of parental smoking on relative leg length, controlled for age, sex, birth weight and the mother's education, as a proxy measure of socioeconomic status, and controlled for an interaction between sex and birth weight, was assessed by an analysis of covariance, where relative leg length was the dependent variable, smoking and sex were the independent variables, and birth weight as well as the mother's education were the covariates. Three separate analyses were run for the three models of smoking habits during pregnancy: the mother's smoking, the father's smoking and both parents' smoking. Only both parents' smoking showed a significant effect on relative leg length of offspring. It is probable that foetal hypoxia caused by carbon monoxide contained in smoke decelerated the growth of the long bones of foetuses.
Collapse
Affiliation(s)
- E Żądzińska
- Department of Anthropology, University of Łódź, 90-237 Łódź, Poland; School of Medical Sciences, The University of Adelaide, Adelaide 5005, Australia
| | - S Kozieł
- Department of Anthropology, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 50-449 Wroclaw, Poland.
| | | | - I Rosset
- Department of Anthropology, University of Łódź, 90-237 Łódź, Poland
| | - A Sitek
- Department of Anthropology, University of Łódź, 90-237 Łódź, Poland
| | - W Lorkiewicz
- Department of Anthropology, University of Łódź, 90-237 Łódź, Poland
| |
Collapse
|
206
|
Liu J, Siegmund KD. An evaluation of processing methods for HumanMethylation450 BeadChip data. BMC Genomics 2016; 17:469. [PMID: 27334613 PMCID: PMC4918139 DOI: 10.1186/s12864-016-2819-7] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Accepted: 06/08/2016] [Indexed: 12/13/2022] Open
Abstract
Background Illumina’s HumanMethylation450 arrays provide the most cost-effective means of high-throughput DNA methylation analysis. As with other types of microarray platforms, technical artifacts are a concern, including background fluorescence, dye-bias from the use of two color channels, bias caused by type I/II probe design, and batch effects. Several approaches and pipelines have been developed, either targeting a single issue or designed to address multiple biases through a combination of methods. We evaluate the effect of combining separate approaches to improve signal processing. Results In this study nine processing methods, including both within- and between- array methods, are applied and compared in four datasets. For technical replicates, we found both within- and between-array methods did a comparable job in reducing variance across replicates. For evaluating biological differences, within-array processing always improved differential DNA methylation signal detection over no processing, and always benefitted from performing background correction first. Combinations of within-array procedures were always among the best performing methods, with a slight advantage appearing for the between-array method Funnorm when batch effects explained more variation in the data than the methylation alterations between cases and controls. However, when this occurred, RUVm, a new batch correction method noticeably improved reproducibility of differential methylation results over any of the signal-processing methods alone. Conclusions The comparisons in our study provide valuable insights in preprocessing HumanMethylation450 BeadChip data. We found the within-array combination of Noob + BMIQ always improved signal sensitivity, and when combined with the RUVm batch-correction method, outperformed all other approaches in performing differential DNA methylation analysis. The effect of the data processing method, in any given data set, was a function of both the signal and noise. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-2819-7) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Jie Liu
- Department of Preventive Medicine, USC Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Kimberly D Siegmund
- Department of Preventive Medicine, USC Keck School of Medicine, University of Southern California, Los Angeles, USA. .,Department of Preventive Medicine, USC Keck School of Medicine, 2001 N. Soto Street, Suite 202 W, Los Angeles, CA, 90089, USA.
| |
Collapse
|
207
|
Lewis A, Lee JY, Donaldson AV, Natanek SA, Vaidyanathan S, Man WDC, Hopkinson NS, Sayer AA, Patel HP, Cooper C, Syddall H, Polkey MI, Kemp PR. Increased expression of H19/miR-675 is associated with a low fat-free mass index in patients with COPD. J Cachexia Sarcopenia Muscle 2016; 7:330-44. [PMID: 27239417 PMCID: PMC4863928 DOI: 10.1002/jcsm.12078] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2014] [Revised: 06/17/2015] [Accepted: 09/10/2015] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Loss of muscle mass and strength is a significant comorbidity in patients with chronic obstructive pulmonary disease (COPD) that limits their quality of life and has prognostic implications but does not affect everyone equally. To identify mechanisms that may contribute to the susceptibility to a low muscle mass, we investigated microRNA (miRNA) expression, methylation status, and regeneration in quadriceps muscle from COPD patients and the effect of miRNAs on myoblast proliferation in vitro. The relationships of miRNA expression with muscle mass and strength was also determined in a group of healthy older men. METHODS We identified miRNAs associated with a low fat-free mass (FFM) phenotype in a small group of patients with COPD using a PCR screen of 750 miRNAs. The expression of two differentially expressed miRNAs (miR-675 and miR-519a) was determined in an expanded group of COPD patients and their associations with FFM and strength identified. The association of these miRNAs with FFM and strength was also explored in a group of healthy community-dwelling older men. As the expression of the miRNAs associated with FFM could be regulated by methylation, the relative methylation of the H19 ICR was determined. Furthermore, the proportion of myofibres with centralized nuclei, as a marker of muscle regeneration, in the muscle of COPD patients was identified by immunofluorescence. RESULTS Imprinted miRNAs (miR-675 and from a cluster, C19MC which includes miR-519a) were differentially expressed in the quadriceps of patients with a low fat-free mass index (FFMI) compared to those with a normal FFMI. In larger cohorts, miR-675 and its host gene (H19) were higher in patients with a low FFMI and strength. The association of miR-519a expression with FFMI was present in male patients with severe COPD. Similar associations of miR expression with lean mass and strength were not observed in healthy community dwelling older men participating in the Hertfordshire Sarcopenia Study. Relative methylation of the H19 ICR was reduced in COPD patients with muscle weakness but was not associated with FFM. In vitro, miR-675 inhibited myoblast proliferation and patients with a low FFMI had fewer centralized nuclei suggesting miR-675 represses regeneration. CONCLUSIONS The data suggest that increased expression of miR-675/H19 and altered methylation of the H19 imprinting control region are associated with a low FFMI in patients with COPD but not in healthy community dwelling older men suggesting that epigenetic control of this loci may contribute to a susceptibility to a low FFMI.
Collapse
Affiliation(s)
- Amy Lewis
- Molecular Medicine Section National Heart and Lung Institute, Imperial College South Kensington Campus London SW7 2AZ UK
| | - Jen Y Lee
- Molecular Medicine Section National Heart and Lung Institute, Imperial College South Kensington Campus London SW7 2AZ UK
| | - Anna V Donaldson
- Molecular Medicine Section National Heart and Lung Institute, Imperial College South Kensington Campus London SW7 2AZ UK; National Institute for Health Research Respiratory Biomedical Research Unit at Royal Brompton and Harefield NHS Foundation Trust and Imperial College London London SW3 6NP UK
| | - S Amanda Natanek
- Molecular Medicine Section National Heart and Lung Institute, Imperial College South Kensington Campus London SW7 2AZ UK; National Institute for Health Research Respiratory Biomedical Research Unit at Royal Brompton and Harefield NHS Foundation Trust and Imperial College London London SW3 6NP UK
| | - Srividya Vaidyanathan
- Molecular Medicine Section National Heart and Lung Institute, Imperial College South Kensington Campus London SW7 2AZ UK
| | - William D-C Man
- National Institute for Health Research Respiratory Biomedical Research Unit at Royal Brompton and Harefield NHS Foundation Trust and Imperial College London London SW3 6NP UK
| | - Nicholas S Hopkinson
- National Institute for Health Research Respiratory Biomedical Research Unit at Royal Brompton and Harefield NHS Foundation Trust and Imperial College London London SW3 6NP UK
| | - Avan A Sayer
- MRC Lifecourse Epidemiology Unit University of Southampton, Southampton General Hospital Southampton SO16 6YD UK
| | - Harnish P Patel
- MRC Lifecourse Epidemiology Unit University of Southampton, Southampton General Hospital Southampton SO16 6YD UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit University of Southampton, Southampton General Hospital Southampton SO16 6YD UK
| | - Holly Syddall
- MRC Lifecourse Epidemiology Unit University of Southampton, Southampton General Hospital Southampton SO16 6YD UK
| | - Michael I Polkey
- National Institute for Health Research Respiratory Biomedical Research Unit at Royal Brompton and Harefield NHS Foundation Trust and Imperial College London London SW3 6NP UK
| | - Paul R Kemp
- Molecular Medicine Section National Heart and Lung Institute, Imperial College South Kensington Campus London SW7 2AZ UK
| |
Collapse
|
208
|
Srinivasan P, Thrower EC, Gorelick FS, Said HM. Inhibition of pancreatic acinar mitochondrial thiamin pyrophosphate uptake by the cigarette smoke component 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone. Am J Physiol Gastrointest Liver Physiol 2016; 310:G874-83. [PMID: 26999808 PMCID: PMC4888549 DOI: 10.1152/ajpgi.00461.2015] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2015] [Accepted: 03/11/2016] [Indexed: 01/31/2023]
Abstract
Thiamin is essential for normal metabolism in pancreatic acinar cells (PAC) and is obtained from their microenvironment through specific plasma-membrane transporters, converted to thiamin pyrophosphate (TPP) in the cytoplasm, followed by uptake of TPP by mitochondria through the mitochondrial TPP (MTPP) transporter (MTPPT; product of SLC25A19 gene). TPP is essential for normal mitochondrial function. We examined the effect of long-term/chronic exposure of PAC in vitro (pancreatic acinar 266-6 cells) and in vivo (wild-type or transgenic mice carrying the SLC25A19 promoter) of the cigarette smoke toxin, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), on the MTPP uptake process. Our in vitro and in vivo findings demonstrate that NNK negatively affects MTPP uptake and reduced expression of MTPPT protein, MTPPT mRNA, and heterogenous nuclear RNA, as well as SLC25A19 promoter activity. The effect of NNK on Slc25a19 transcription was neither mediated by changes in expression of transcriptional factor NFY-1 (known to drive SLC25A19 transcription), nor due to changes in methylation profile of the Slc25a19 promoter. Rather, it appears to be due to changes in histone modifications that involve significant decreases in histone H3K4-trimethylation and H3K9-acetylation (activation markers). The effect of NNK on MTPPT function is mediated through the nonneuronal α7-nicotinic acetylcholine receptor (α7-nAChR), as indicated by both in vitro (using the nAChR antagonist mecamylamine) and in vivo (using an α7-nAchR(-/-) mouse model) studies. These findings demonstrate that chronic exposure of PAC to NNK negatively impacts PAC MTPP uptake. This effect appears to be exerted at the level of Slc25a19 transcription, involve epigenetic mechanism(s), and is mediated through the α7-nAchR.
Collapse
Affiliation(s)
- Padmanabhan Srinivasan
- 1Department of Medical Research, Veterans Affairs Medical Center, Long Beach, California; ,2Departments of Medicine and Physiology/Biophysics, University of California, Irvine, California;
| | - Edwin C. Thrower
- 3Section of Digestive Diseases, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut;
| | - Fred S. Gorelick
- 4Section of Digestive Diseases, Department of Internal Medicine, Yale University, New Haven, Connecticut; and ,5Veterans Affairs Healthcare System, West Haven, Connecticut
| | - Hamid M. Said
- 1Department of Medical Research, Veterans Affairs Medical Center, Long Beach, California; ,2Departments of Medicine and Physiology/Biophysics, University of California, Irvine, California;
| |
Collapse
|
209
|
Shui IM, Wong CJ, Zhao S, Kolb S, Ebot EM, Geybels MS, Rubicz R, Wright JL, Lin DW, Klotzle B, Bibikova M, Fan JB, Ostrander EA, Feng Z, Stanford JL. Prostate tumor DNA methylation is associated with cigarette smoking and adverse prostate cancer outcomes. Cancer 2016; 122:2168-77. [PMID: 27142338 DOI: 10.1002/cncr.30045] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Revised: 03/09/2016] [Accepted: 03/14/2016] [Indexed: 11/11/2022]
Abstract
BACKGROUND DNA methylation has been hypothesized as a mechanism for explaining the association between smoking and adverse prostate cancer (PCa) outcomes. This study was aimed at assessing whether smoking is associated with prostate tumor DNA methylation and whether these alterations may explain in part the association of smoking with PCa recurrence and mortality. METHODS A total of 523 men had radical prostatectomy as their primary treatment, detailed smoking history data, long-term follow-up for PCa outcomes, and tumor tissue profiled for DNA methylation. Ninety percent of the men also had matched tumor gene expression data. A methylome-wide analysis was conducted to identify differentially methylated regions (DMRs) by smoking status. To select potential functionally relevant DMRs, their correlation with the messenger RNA (mRNA) expression of corresponding genes was evaluated. Finally, a smoking-related methylation score based on the top-ranked DMRs was created to assess its association with PCa outcomes. RESULTS Forty DMRs were associated with smoking status, and 10 of these were strongly correlated with mRNA expression (aldehyde oxidase 1 [AOX1], claudin 5 [CLDN5], early B-cell factor 1 [EBF1], homeobox A7 [HOXA7], lectin galactoside-binding soluble 3 [LGALS3], microtubule-associated protein τ [MAPT], protocadherin γ A [PCDHGA]/protocadherin γ B [PCDHGB], paraoxonase 3 [PON3], synaptonemal complex protein 2 like [SYCP2L], and zinc finger and SCAN domain containing 12 [ZSCAN12]). Men who were in the highest tertile for the smoking-methylation score derived from these DMRs had a higher risk of recurrence (odds ratio [OR], 2.29; 95% confidence interval [CI], 1.42-3.72) and lethal disease (OR, 4.21; 95% CI, 1.65-11.78) in comparison with men in the lower 2 tertiles. CONCLUSIONS This integrative molecular epidemiology study supports the hypothesis that smoking-associated tumor DNA methylation changes may explain at least part of the association between smoking and adverse PCa outcomes. Future studies are warranted to confirm these findings and understand the implications for improving patient outcomes. Cancer 2016;122:2168-77. © 2016 American Cancer Society.
Collapse
Affiliation(s)
- Irene M Shui
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Chao-Jen Wong
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Shanshan Zhao
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
| | - Suzanne Kolb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Ericka M Ebot
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Milan S Geybels
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Rohina Rubicz
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jonathan L Wright
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.,Department of Urology, University of Washington School of Medicine, Seattle, Washington
| | - Daniel W Lin
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.,Department of Urology, University of Washington School of Medicine, Seattle, Washington
| | | | | | | | - Elaine A Ostrander
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland
| | - Ziding Feng
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Janet L Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.,Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| |
Collapse
|
210
|
Consales C, Toft G, Leter G, Bonde JPE, Uccelli R, Pacchierotti F, Eleuteri P, Jönsson BAG, Giwercman A, Pedersen HS, Struciński P, Góralczyk K, Zviezdai V, Spanò M. Exposure to persistent organic pollutants and sperm DNA methylation changes in Arctic and European populations. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2016; 57:200-9. [PMID: 26801515 DOI: 10.1002/em.21994] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Accepted: 12/06/2015] [Indexed: 05/28/2023]
Abstract
Persistent organic pollutants (POPs), such as PCBs (polychlorinated biphenyls) and DDT [1,1,1-trichloro-2,2-bis(4-chlorophenyl)ethane], are environmental contaminants with potential endocrine disrupting activity. DNA methylation levels in peripheral blood lymphocytes have been associated with serum concentrations of POPs in Greenland Inuit and Korean populations. Greenland Inuits are characterized by the highest worldwide POP levels. In this cross-sectional study we evaluated the relationship between serum POP concentrations and DNA methylation levels in sperm of non-occupationally exposed fertile men from Greenland, Warsaw (Poland), and Kharkiv (Ukraine). Serum levels of PCB-153 [1,2,4-trichloro-5-(2,4,5-trichlorophenyl)benzene], as a proxy of the total PCBs body burden, and of p,p'-DDE [1,1-dichloro-2,2-bis(4-chlorophenyl)ethylene], the main metabolite of DDT were measured. Sperm DNA methylation level was assessed globally by flow cytometric (FCM) immunodetection of 5-methyl-cytosines and at specific repetitive DNA sequences (Alu, LINE-1, Satα) by PCR-pyrosequencing after bisulfite conversion. Multivariate linear regression analysis was applied to investigate correlations between serum POP concentrations and DNA methylation. No consistent associations between exposure to POPs and sperm DNA methylation at repetitive DNA sequences were detected. A statistically significant global decrease in methylation was associated with exposure to either POP by FCM analysis. This is the first study to investigate environmental exposure to POPs and DNA methylation levels considering sperm as the target cells. Although POP exposure appears to have a limited negative impact on sperm DNA methylation levels in adult males, the global hypomethylation detected by one of the methods applied suggests that further investigation is warranted.
Collapse
Affiliation(s)
- Claudia Consales
- Laboratory of Biosafety and Risk Assessment, Division of Health Technologies, Department of Sustainable Territorial and Production Systems, ENEA Casaccia Research Center, Rome, 00123, Italy
| | - Gunnar Toft
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, DK-8200, Denmark
| | - Giorgio Leter
- Laboratory of Biosafety and Risk Assessment, Division of Health Technologies, Department of Sustainable Territorial and Production Systems, ENEA Casaccia Research Center, Rome, 00123, Italy
| | - Jens Peter E Bonde
- Department of Occupational and Environmental Medicine, Bispebjerg University Hospital of Copenhagen, Copenhagen, NV, DK-2400, Denmark
| | - Raffaella Uccelli
- Laboratory of Biosafety and Risk Assessment, Division of Health Technologies, Department of Sustainable Territorial and Production Systems, ENEA Casaccia Research Center, Rome, 00123, Italy
| | - Francesca Pacchierotti
- Laboratory of Biosafety and Risk Assessment, Division of Health Technologies, Department of Sustainable Territorial and Production Systems, ENEA Casaccia Research Center, Rome, 00123, Italy
| | - Patrizia Eleuteri
- Laboratory of Biosafety and Risk Assessment, Division of Health Technologies, Department of Sustainable Territorial and Production Systems, ENEA Casaccia Research Center, Rome, 00123, Italy
| | - Bo A G Jönsson
- Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, SE-22185, Sweden
| | - Aleksander Giwercman
- Molecular Reproductive Medicine, Department of Translational Medicine, Skåne University Hospital Malmö, Lund University, Malmö, SE-20502, Sweden
| | - Henning S Pedersen
- Centre for Arctic Environmental Medicine, Greenland Institute of Natural Resources, Nuuk, Greenland, DK-3900, Denmark
| | - Paweł Struciński
- Department of Toxicology and Risk Assessment, National Institute of Public Health-National Institute of Hygiene, Warsaw, 00791, Poland
| | - Katarzyna Góralczyk
- Department of Toxicology and Risk Assessment, National Institute of Public Health-National Institute of Hygiene, Warsaw, 00791, Poland
| | - Valentyna Zviezdai
- Laboratory of Human Reproduction, Department of Social Medicine and Organization of Public Health, Kharkiv National Medical University, Kharkiv, 61022, Ukraine
| | - Marcello Spanò
- Laboratory of Biosafety and Risk Assessment, Division of Health Technologies, Department of Sustainable Territorial and Production Systems, ENEA Casaccia Research Center, Rome, 00123, Italy
| |
Collapse
|
211
|
Badiga S, Siddiqui NR, Macaluso M, Johanning GL, Piyathilake CJ. Homocysteinemia is Associated with a Lower Degree of PBMC LINE-1 Methylation and a Higher Risk of CIN 2C in the U.S. Post-Folic Acid Fortification Era. Nutr Cancer 2016; 68:446-55. [DOI: 10.1080/01635581.2016.1152388] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
|
212
|
Microbiome-Epigenome Interactions and the Environmental Origins of Inflammatory Bowel Diseases. J Pediatr Gastroenterol Nutr 2016; 62:208-19. [PMID: 26308318 PMCID: PMC4724338 DOI: 10.1097/mpg.0000000000000950] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The incidence of pediatric inflammatory bowel disease (IBD), which includes Crohn disease and ulcerative colitis, has risen alarmingly in the Western and developing world in recent decades. Epidemiologic (including monozygotic twin and migrant) studies highlight the substantial role of environment and nutrition in IBD etiology. Here we review the literature supporting the developmental and environmental origins hypothesis of IBD. We also provide a detailed exploration of how the human microbiome and epigenome (primarily through DNA methylation) may be important elements in the developmental origins of IBD in both children and adults.
Collapse
|
213
|
Marques-Rocha JL, Milagro FI, Mansego ML, Mourão DM, Martínez JA, Bressan J. LINE-1 methylation is positively associated with healthier lifestyle but inversely related to body fat mass in healthy young individuals. Epigenetics 2016; 11:49-60. [PMID: 26786189 DOI: 10.1080/15592294.2015.1135286] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Abstract
With the goal of investigating if epigenetic biomarkers from white blood cells (WBC) are associated with dietary, anthropometric, metabolic, inflammatory and oxidative stress parameters in young and apparently healthy individuals. We evaluated 156 individuals (91 women, 65 men; age: 23.1±3.5 years; body mass index: 22.0±2.9 kg/m(2)) for anthropometric, biochemical and clinical markers, including some components of the antioxidant defense system and inflammatory response. DNA methylation of LINE-1, TNF-α and IL-6 and the expression of some genes related to the inflammatory process were analyzed in WBC. Adiposity was lower among individuals with higher LINE-1 methylation. On the contrary, body fat-free mass was higher among those with higher LINE-1 methylation. Individuals with higher LINE-1 methylation had higher daily intakes of calories, iron and riboflavin. However, those individuals who presented lower percentages of LINE-1 methylation reported higher intakes of copper, niacin and thiamin. Interestingly, the group with higher LINE-1 methylation had a lower percentage of current smokers and more individuals practicing sports. On the other hand, TNF-α methylation percentage was negatively associated with waist girth, waist-to-hip ratio and waist-to-stature ratio. Plasma TNF-α levels were lower in those individuals with higher TNF-α methylation. This study suggests that higher levels of LINE-1 and TNF-α methylation are associated with better indicators of adiposity status in healthy young individuals. In addition, energy and micronutrient intake, as well as a healthy lifestyle, may have a role in the regulation of DNA methylation in WBC and the subsequent metabolic changes may affect epigenetic biomarkers.
Collapse
Affiliation(s)
| | - Fermin I Milagro
- b Department of Nutrition , Food Science and Physiology, Center for Nutrition Research, University of Navarra , Pamplona , Spain.,c CIBERobn, Fisiopatología de la Obesidad y la Nutrición, Carlos III Health Institute , Madrid , Spain
| | - Maria Luisa Mansego
- b Department of Nutrition , Food Science and Physiology, Center for Nutrition Research, University of Navarra , Pamplona , Spain
| | - Denise Machado Mourão
- a Department of Nutrition and Health , Universidade Federal de Viçosa , Viçosa , Brazil
| | - J Alfredo Martínez
- b Department of Nutrition , Food Science and Physiology, Center for Nutrition Research, University of Navarra , Pamplona , Spain.,c CIBERobn, Fisiopatología de la Obesidad y la Nutrición, Carlos III Health Institute , Madrid , Spain.,d IdiSNA, Navarra Institute for Health Research , Pamplona , Spain
| | - Josefina Bressan
- a Department of Nutrition and Health , Universidade Federal de Viçosa , Viçosa , Brazil
| |
Collapse
|
214
|
Ladd-Acosta C, Shu C, Lee BK, Gidaya N, Singer A, Schieve LA, Schendel DE, Jones N, Daniels JL, Windham GC, Newschaffer CJ, Croen LA, Feinberg AP, Daniele Fallin M. Presence of an epigenetic signature of prenatal cigarette smoke exposure in childhood. ENVIRONMENTAL RESEARCH 2016; 144:139-148. [PMID: 26610292 PMCID: PMC4915563 DOI: 10.1016/j.envres.2015.11.014] [Citation(s) in RCA: 81] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Revised: 11/11/2015] [Accepted: 11/12/2015] [Indexed: 05/20/2023]
Abstract
Prenatal exposure to tobacco smoke has lifelong health consequences. Epigenetic signatures such as differences in DNA methylation (DNAm) may be a biomarker of exposure and, further, might have functional significance for how in utero tobacco exposure may influence disease risk. Differences in infant DNAm associated with maternal smoking during pregnancy have been identified. Here we assessed whether these infant DNAm patterns are detectible in early childhood, whether they are specific to smoking, and whether childhood DNAm can classify prenatal smoke exposure status. Using the Infinium 450K array, we measured methylation at 26 CpG loci that were previously associated with prenatal smoking in infant cord blood from 572 children, aged 3-5, with differing prenatal exposure to cigarette smoke in the Study to Explore Early Development (SEED). Striking concordance was found between the pattern of prenatal smoking associated DNAm among preschool aged children in SEED and those observed at birth in other studies. These DNAm changes appear to be tobacco-specific. Support vector machine classification models and 10-fold cross-validation were applied to show classification accuracy for childhood DNAm at these 26 sites as a biomarker of prenatal smoking exposure. Classification models showed prenatal exposure to smoking can be assigned with 81% accuracy using childhood DNAm patterns at these 26 loci. These findings support the potential for blood-derived DNAm measurements to serve as biomarkers for prenatal exposure.
Collapse
Affiliation(s)
- Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Chang Shu
- Department of Mental Health, Johns Hopkins School of Public Health, Baltimore, MD, USA
| | - Brian K Lee
- Drexel University School of Public Health, Philadelphia, PA, USA
| | - Nicole Gidaya
- Drexel University School of Public Health, Philadelphia, PA, USA
| | - Alison Singer
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Laura A Schieve
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Diana E Schendel
- Department of Public Health, Institute of Epidemiology and Social Medicine, Department of Economics and Business, National Centre for Register-based Research, Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University, Aarhus, Denmark
| | - Nicole Jones
- Biomedical Research Informatics Core, Michigan State University, East Lansing, MI, USA
| | - Julie L Daniels
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Gayle C Windham
- Division of Environmental and Occupational Disease Control, California Department of Public Health, Richmond, CA, USA
| | - Craig J Newschaffer
- Drexel University School of Public Health, Philadelphia, PA, USA; The A.J. Drexel Autism Institute, Drexel University School of Public Health, Philadelphia, PA, USA
| | - Lisa A Croen
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Andrew P Feinberg
- Center for Epigenetics, Institute for Basic Biomedical Science, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - M Daniele Fallin
- Department of Mental Health, Johns Hopkins School of Public Health, Baltimore, MD, USA.
| |
Collapse
|
215
|
Differential DNA methylation of microRNAs within promoters, intergenic and intragenic regions of type 2 diabetic, pre-diabetic and non-diabetic individuals. Clin Biochem 2015; 49:433-438. [PMID: 26656639 DOI: 10.1016/j.clinbiochem.2015.11.021] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Revised: 11/24/2015] [Accepted: 11/30/2015] [Indexed: 01/05/2023]
Abstract
OBJECTIVE Accumulating evidence supports the role of epigenetic modifications, and in particular DNA methylation and non-coding RNAs in the pathophysiology of type 2 diabetes. Alterations in methylation patterns within promoter regions are linked with aberrant transcription and pathological gene expression; however the role of methylation within non-promoter regions is not yet fully elucidated. DESIGN AND METHODS We performed whole genome methylated DNA immunoprecipitation sequencing (MeDIP-Seq) in peripheral-blood-derived DNA from age-gender-body mass index (BMI)-ethnicity matched type 2 diabetic, pre-diabetic and non-diabetic individuals. RESULTS The density of methylation normalized to the average length of the promoter, intergenic and intragenic regions and to CpG count was 3.17, 9.80 and 0.09 for the promoter, intergenic and intragenic regions, respectively. Methylation within these regions varied according to glucose tolerance status and was associated with hypermethylation rather than hypomethylation. MicroRNA-DNA methylation peaks accounted for 4.8% of the total number of peaks detected. Differential DNA methylation of these microRNA peaks was observed during dysglycemia, with the promoter, intergenic and intragenic regions accounting for 2%, 95% and 3% respectively, of the differentially methylated microRNA peaks. CONCLUSION Genome-wide DNA methylation varied according to glucose tolerance. Methylation within non-promoter regions accounted for the majority of differentially methylated peaks identified, thus highlighting the importance of DNA methylation within these non-promoter regions in the pathogenesis of type 2 diabetes. This study suggests that DNA methylation within intergenic regions is a mechanism regulating microRNAs, another increasingly important epigenetic factor, during type 2 diabetes.
Collapse
|
216
|
Mu Q, Zhang H, Luo XM. SLE: Another Autoimmune Disorder Influenced by Microbes and Diet? Front Immunol 2015; 6:608. [PMID: 26648937 PMCID: PMC4663251 DOI: 10.3389/fimmu.2015.00608] [Citation(s) in RCA: 92] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2015] [Accepted: 11/16/2015] [Indexed: 12/20/2022] Open
Abstract
Systemic lupus erythematosus (SLE) is a multi-system autoimmune disease. Despite years of study, the etiology of SLE is still unclear. Both genetic and environmental factors have been implicated in the disease mechanisms. In the past decade, a growing body of evidence has indicated an important role of gut microbes in the development of autoimmune diseases, including type 1 diabetes, rheumatoid arthritis, and multiple sclerosis. However, such knowledge on SLE is little, though we have already known that environmental factors can trigger the development of lupus. Several recent studies have suggested that alterations of the gut microbial composition may be correlated with SLE disease manifestations, while the exact roles of either symbiotic or pathogenic microbes in this disease remain to be explored. Elucidation of the roles of gut microbes - as well as the roles of diet that can modulate the composition of gut microbes - in SLE will shed light on how this autoimmune disorder develops, and provide opportunities for improved biomarkers of the disease and the potential to probe new therapies. In this review, we aim to compile the available evidence on the contributions of diet and gut microbes to SLE occurrence and pathogenesis.
Collapse
Affiliation(s)
- Qinghui Mu
- Department of Biomedical Sciences and Pathobiology, Virginia Tech , Blacksburg, VA , USA
| | - Husen Zhang
- Department of Civil and Environmental Engineering, Virginia Tech , Blacksburg, VA , USA
| | - Xin M Luo
- Department of Biomedical Sciences and Pathobiology, Virginia Tech , Blacksburg, VA , USA
| |
Collapse
|
217
|
|
218
|
Expression of epigenetic modifiers is not significantly altered by exposure to secondhand smoke. Lung Cancer 2015; 90:598-603. [PMID: 26525280 DOI: 10.1016/j.lungcan.2015.10.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2015] [Revised: 10/20/2015] [Accepted: 10/22/2015] [Indexed: 12/29/2022]
Abstract
OBJECTIVES Secondhand smoke (SHS) is a major risk factor for lung cancer in nonsmokers. DNA damage-derived mutagenicity is a well-established mechanism of SHS-carcinogenicity; however very little is known about the impact of SHS exposure on the epigenome. MATERIALS AND METHODS We have investigated whether exposure to SHS can modulate the expression of key epigenetic regulators responsible for the establishment and/or maintenance of DNA methylation and histone modification patterns in vivo. We have sub-chronically exposed mice to a mutagenic but non-tumorigenic dose of SHS, and subsequently determined the expression levels of major epigenetic modifiers in the lungs of SHS-exposed mice, immediately after termination of exposure and following 7-month recovery in clean air. RESULTS AND CONCLUSION Quantification of the expression of genes encoding DNA methyltransferases (Dnmt1, Dnmt3a, Dnmt3b and Dnmt3l), methyl binding domain proteins (Mecp2, Mbd2 and Mbd3) and histone deacetylases (Hdac1 and Hdac2) by quantitative reverse-transcription polymerase chain reaction analysis showed modest but not statistically significant differences in the relative transcription of these key epigenetic regulators between SHS-exposed mice and age-matched controls. The non-significant changes in the expression of main epigenetic modifiers in SHS-exposed mice imply that SHS may predominantly induce genotoxic effects, particularly at non-tumorigenic doses, whereas epigenetic effects may only be secondary and manifest en route to tumor formation.
Collapse
|
219
|
Abstract
Tic disorders are moderately heritable common psychiatric disorders that can be highly troubling, both in childhood and in adulthood. In this study, we report results obtained in the first epigenome-wide association study (EWAS) of tic disorders. The subjects are participants in surveys at the Netherlands Twin Register (NTR) and the NTR biobank project. Tic disorders were measured with a self-report version of the Yale Global Tic Severity Scale Abbreviated version (YGTSS-ABBR), included in the 8th wave NTR data collection (2008). DNA methylation data consisted of 411,169 autosomal methylation sites assessed by the Illumina Infinium HumanMethylation450 BeadChip Kit (HM450k array). Phenotype and DNA methylation data were available in 1,678 subjects (mean age = 41.5). No probes reached genome-wide significance (p < 1.2 × 10(-7)). The strongest associated probe was cg15583738, located in an intergenic region on chromosome 8 (p = 1.98 × 10(-6)). Several of the top ranking probes (p < 1 × 10(-4)) were in or nearby genes previously associated with neurological disorders (e.g., GABBRI, BLM, and ADAM10), warranting their further investigation in relation to tic disorders. The top significantly enriched gene ontology (GO) terms among higher ranking methylation sites included anatomical structure morphogenesis (GO:0009653, p = 4.6 × 10-(15)) developmental process (GO:0032502, p = 2.96 × 10(-12)), and cellular developmental process (GO:0048869, p = 1.96 × 10(-12)). Overall, these results provide a first insight into the epigenetic mechanisms of tic disorders. This first study assesses the role of DNA methylation in tic disorders, and it lays the foundations for future work aiming to unravel the biological mechanisms underlying the architecture of this disorder.
Collapse
|
220
|
Establishment of the MethyLight Assay for Assessing Aging, Cigarette Smoking, and Alcohol Consumption. BIOMED RESEARCH INTERNATIONAL 2015; 2015:451981. [PMID: 26579533 PMCID: PMC4633697 DOI: 10.1155/2015/451981] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/21/2015] [Revised: 08/13/2015] [Accepted: 10/05/2015] [Indexed: 12/22/2022]
Abstract
The environmental factors such as aging, smoking, and alcohol consumption have been reported to influence DNA methylation (DNAm). However, the versatility of DNAm measurement by DNAm array systems is low in clinical use. Thus, we developed the MethyLight assay as a simple method to measure DNAm. In the present study, we isolated peripheral blood DNA from 33 healthy volunteers and selected cg25809905, cg02228185, and cg17861230 as aging, cg23576855 as smoking, and cg02583484 as alcohol consumption biomarkers. The predicted age by methylation rates of cg25809905 and cg17861230 significantly correlated with chronological age. In immortalized B-cells, DNAm rates of two sites showed a younger status than the chronological age of donor. On the other hand, the predicted age of the patients with myocardial infarction (MI) was not accelerated. The methylation rate of cg23576855 was able to discriminate the groups based on the smoking status. The DNAm rate of cg02583484 was reduced in subjects with habitual alcohol consumption compared to that of subjects without habitual alcohol consumption. In conclusion, our MethyLight assay system reconfirms that aging, smoking, and alcohol consumption influenced DNAm in peripheral blood in the Japanese. This MethyLight system will facilitate DNAm measurement in epidemiological and clinical studies.
Collapse
|
221
|
Gao X, Jia M, Zhang Y, Breitling LP, Brenner H. DNA methylation changes of whole blood cells in response to active smoking exposure in adults: a systematic review of DNA methylation studies. Clin Epigenetics 2015; 7:113. [PMID: 26478754 PMCID: PMC4609112 DOI: 10.1186/s13148-015-0148-3] [Citation(s) in RCA: 285] [Impact Index Per Article: 31.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2015] [Accepted: 10/06/2015] [Indexed: 01/10/2023] Open
Abstract
Active smoking is a major preventable public health problem and an established critical factor for epigenetic modification. In this systematic review, we identified 17 studies addressing the association of active smoking exposure with methylation modifications in blood DNA, including 14 recent epigenome-wide association studies (EWASs) and 3 gene-specific methylation studies (GSMSs) on the gene regions identified by EWASs. Overall, 1460 smoking-associated CpG sites were identified in the EWASs, of which 62 sites were detected in multiple (≥3) studies. The three most frequently reported CpG sites (genes) in whole blood samples were cg05575921 (AHRR), cg03636183 (F2RL3), and cg19859270 (GPR15), followed by other loci within intergenic regions 2q37.1 and 6p21.33. These significant smoking-related genes were further assessed by specific methylation assays in three GSMSs and reflected not only current but also lifetime or long-term exposure to active smoking. In conclusion, this review summarizes the evidences for the use of blood DNA methylation patterns as biomarkers of smoking exposure for research and clinical practice. In particular, it provides a reservoir for constructing a smoking exposure index score which could be used to more precisely quantify long-term smoking exposure and evaluate the risks of smoking-induced diseases.
Collapse
Affiliation(s)
- Xu Gao
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany
| | - Min Jia
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany
| | - Yan Zhang
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany
| | - Lutz Philipp Breitling
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany ; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 460, D-69120 Heidelberg, Germany ; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany
| |
Collapse
|
222
|
Loukola A, Buchwald J, Gupta R, Palviainen T, Hällfors J, Tikkanen E, Korhonen T, Ollikainen M, Sarin AP, Ripatti S, Lehtimäki T, Raitakari O, Salomaa V, Rose RJ, Tyndale RF, Kaprio J. A Genome-Wide Association Study of a Biomarker of Nicotine Metabolism. PLoS Genet 2015; 11:e1005498. [PMID: 26407342 PMCID: PMC4583245 DOI: 10.1371/journal.pgen.1005498] [Citation(s) in RCA: 91] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2015] [Accepted: 08/14/2015] [Indexed: 11/25/2022] Open
Abstract
Individuals with fast nicotine metabolism typically smoke more and thus have a greater risk for smoking-induced diseases. Further, the efficacy of smoking cessation pharmacotherapy is dependent on the rate of nicotine metabolism. Our objective was to use nicotine metabolite ratio (NMR), an established biomarker of nicotine metabolism rate, in a genome-wide association study (GWAS) to identify novel genetic variants influencing nicotine metabolism. A heritability estimate of 0.81 (95% CI 0.70-0.88) was obtained for NMR using monozygotic and dizygotic twins of the FinnTwin cohort. We performed a GWAS in cotinine-verified current smokers of three Finnish cohorts (FinnTwin, Young Finns Study, FINRISK2007), followed by a meta-analysis of 1518 subjects, and annotated the genome-wide significant SNPs with methylation quantitative loci (meQTL) analyses. We detected association on 19q13 with 719 SNPs exceeding genome-wide significance within a 4.2 Mb region. The strongest evidence for association emerged for CYP2A6 (min p = 5.77E-86, in intron 4), the main metabolic enzyme for nicotine. Other interesting genes with genome-wide significant signals included CYP2B6, CYP2A7, EGLN2, and NUMBL. Conditional analyses revealed three independent signals on 19q13, all located within or in the immediate vicinity of CYP2A6. A genetic risk score constructed using the independent signals showed association with smoking quantity (p = 0.0019) in two independent Finnish samples. Our meQTL results showed that methylation values of 16 CpG sites within the region are affected by genotypes of the genome-wide significant SNPs, and according to causal inference test, for some of the SNPs the effect on NMR is mediated through methylation. To our knowledge, this is the first GWAS on NMR. Our results enclose three independent novel signals on 19q13.2. The detected CYP2A6 variants explain a strikingly large fraction of variance (up to 31%) in NMR in these study samples. Further, we provide evidence for plausible epigenetic mechanisms influencing NMR.
Collapse
Affiliation(s)
- Anu Loukola
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Jadwiga Buchwald
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Richa Gupta
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Teemu Palviainen
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Jenni Hällfors
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland
| | - Emmi Tikkanen
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland
| | - Tellervo Korhonen
- Department of Public Health, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Miina Ollikainen
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Antti-Pekka Sarin
- Institute for Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
| | - Samuli Ripatti
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland
- Wellcome Trust Sanger Institute, Cambridge, United Kingdom
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere, Finland
| | - Olli Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Veikko Salomaa
- National Institute for Health and Welfare, Helsinki, Finland
| | - Richard J. Rose
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, United States of America
| | - Rachel F. Tyndale
- Campbell Family Mental Health Research Institute, CAMH, and Departments of Pharmacology & Toxicology and Psychiatry, University of Toronto, Toronto, Canada
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
| |
Collapse
|
223
|
Bierut L, Cesarini D. How Genetic and Other Biological Factors Interact with Smoking Decisions. BIG DATA 2015; 3:198-202. [PMID: 26487990 PMCID: PMC4605479 DOI: 10.1089/big.2015.0013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Despite clear links between genes and smoking, effective public policy requires far richer measurement of the feedback between biological, behavioral, and environmental factors. The Kavli HUMAN Project (KHP) plans to exploit the plummeting costs of data gathering and to make creative use of new technologies to construct a longitudinal panel data set that would compare favorably to existing longitudinal surveys, both in terms of the richness of the behavioral measures and the cost-effectiveness of the data collection. By developing a more comprehensive approach to characterizing behavior than traditional methods, KHP will allow researchers to paint a much richer picture of an individual's life-cycle trajectory of smoking, alcohol, and drug use, and interactions with other choices and environmental factors. The longitudinal nature of KHP will be particularly valuable in light of the increasing evidence for how smoking behavior affects physiology and health. The KHP could have a transformative impact on the understanding of the biology of addictive behaviors such as smoking, and of a rich range of prevention and amelioration policies.
Collapse
Affiliation(s)
- Laura Bierut
- Washington University in St. Louis, St. Louis, Missouri
| | | |
Collapse
|
224
|
Weidmann H, Touat-Hamici Z, Durand H, Mueller C, Chardonnet S, Pionneau C, Charlotte F, Janssen KP, Verdugo R, Cambien F, Blankenberg S, Tiret L, Zeller T, Ninio E. SASH1, a new potential link between smoking and atherosclerosis. Atherosclerosis 2015; 242:571-9. [PMID: 26318107 DOI: 10.1016/j.atherosclerosis.2015.08.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Revised: 08/03/2015] [Accepted: 08/06/2015] [Indexed: 01/10/2023]
Abstract
OBJECTIVE We have previously reported that SASH1 expression is increased in circulating human monocytes from smokers and was positively correlated with the number of carotid atherosclerotic plaques. The aim of this study was to further validate the link between smoking, SASH1 and atherosclerosis within the vascular wall and to assess the impact of SASH1 expression on endothelial cell functions. METHOD Human carotids with atherosclerotic plaques were obtained from 58 patients (45 of them with known smoking status: smoker, non-smoker, ex-smokers), and were processed for gene expression analyses and immunostaining. To investigate its function, SASH1 was silenced in human aortic endothelial cells (HAECs) using two different siRNA and subcellular localization of SASH1 was determined by immunostaining and subcellular fractionation. Subsequently the transcriptomic analyses and functional experiments (wound healing, WST-1 proliferation or Matrigel assays) were performed to characterize SASH1 function. RESULTS SASH1 was expressed in human vascular cells (HAECs, smooth muscle cells) and in monocytes/macrophages. Its tissue expression was significantly higher in the atherosclerotic carotids of smokers compared to non-smokers (p < 0.01). In HAECs, SASH1 was expressed mostly in the cytoplasm and SASH1 knockdown resulted in an increased cell migration, proliferation and angiogenesis. Transcriptomic and pathway analyses showed that SASH1 silencing results in a decreased CYP1A1 expression possibly through the inhibition of TP53 activity. CONCLUSION We showed that SASH1 expression is increased in atherosclerotic carotids in smokers and its silencing affects endothelial angiogenic functions; therefore we provide a potential link between smoking and atherosclerosis through SASH1 expression.
Collapse
Affiliation(s)
- Henri Weidmann
- Sorbonne Universités, UPMC, UMR_S 1166-ICAN, Genomics and Pathophysiology of Cardiovascular Diseases, Institute of Cardiometabolism and Nutrition, ICAN, Pitié-Salpêtrière Hospital, F-75013, Paris, France; University Heart Center Hamburg, Clinic for General and Interventional Cardiology, Hamburg, Germany; German Center for Cardiovascular Research (DZHK e.V.) Partner Site Hamburg, Lübeck, Kiel, Hamburg, Germany.
| | - Zahia Touat-Hamici
- Sorbonne Universités, UPMC, UMR_S 1166-ICAN, Genomics and Pathophysiology of Cardiovascular Diseases, Institute of Cardiometabolism and Nutrition, ICAN, Pitié-Salpêtrière Hospital, F-75013, Paris, France
| | - Herve Durand
- Sorbonne Universités, UPMC, UMR_S 1166-ICAN, Genomics and Pathophysiology of Cardiovascular Diseases, Institute of Cardiometabolism and Nutrition, ICAN, Pitié-Salpêtrière Hospital, F-75013, Paris, France
| | - Christian Mueller
- University Heart Center Hamburg, Clinic for General and Interventional Cardiology, Hamburg, Germany; German Center for Cardiovascular Research (DZHK e.V.) Partner Site Hamburg, Lübeck, Kiel, Hamburg, Germany
| | - Solenne Chardonnet
- Sorbonne Universités, UPMC, UMS_2 Omique, Plateforme P3S, F-75005, Paris, France; INSERM, UMS 29 Omique, Plateforme P3S, F-75005, Paris, France
| | - Cedric Pionneau
- Sorbonne Universités, UPMC, UMS_2 Omique, Plateforme P3S, F-75005, Paris, France; INSERM, UMS 29 Omique, Plateforme P3S, F-75005, Paris, France
| | - Frédéric Charlotte
- Department of Pathology, Hôpital de la Pitié-Salpêtrière, AP-HP, Paris, France
| | - Klaus-Peter Janssen
- Department of Surgery, Klinikum rechts der Isar, Technische Universität München, IsmaningerStrasse 22, Munich, Germany
| | - Ricardo Verdugo
- Programa de Genetica Humana ICBM, Facultad de Medicina, Universidad de Chile, Chile
| | - Francois Cambien
- Sorbonne Universités, UPMC, UMR_S 1166-ICAN, Genomics and Pathophysiology of Cardiovascular Diseases, Institute of Cardiometabolism and Nutrition, ICAN, Pitié-Salpêtrière Hospital, F-75013, Paris, France
| | - Stefan Blankenberg
- University Heart Center Hamburg, Clinic for General and Interventional Cardiology, Hamburg, Germany; German Center for Cardiovascular Research (DZHK e.V.) Partner Site Hamburg, Lübeck, Kiel, Hamburg, Germany
| | - Laurence Tiret
- Sorbonne Universités, UPMC, UMR_S 1166-ICAN, Genomics and Pathophysiology of Cardiovascular Diseases, Institute of Cardiometabolism and Nutrition, ICAN, Pitié-Salpêtrière Hospital, F-75013, Paris, France
| | - Tanja Zeller
- University Heart Center Hamburg, Clinic for General and Interventional Cardiology, Hamburg, Germany; German Center for Cardiovascular Research (DZHK e.V.) Partner Site Hamburg, Lübeck, Kiel, Hamburg, Germany
| | - Ewa Ninio
- Sorbonne Universités, UPMC, UMR_S 1166-ICAN, Genomics and Pathophysiology of Cardiovascular Diseases, Institute of Cardiometabolism and Nutrition, ICAN, Pitié-Salpêtrière Hospital, F-75013, Paris, France.
| |
Collapse
|
225
|
Environmental Impact on DNA Methylation in the Germline: State of the Art and Gaps of Knowledge. BIOMED RESEARCH INTERNATIONAL 2015; 2015:123484. [PMID: 26339587 PMCID: PMC4538313 DOI: 10.1155/2015/123484] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Accepted: 05/03/2015] [Indexed: 12/19/2022]
Abstract
The epigenome consists of chemical changes in DNA and chromatin that without modifying the DNA sequence modulate gene expression and cellular phenotype. The epigenome is highly plastic and reacts to changing external conditions with modifications that can be inherited to daughter cells and across generations. Whereas this innate plasticity allows for adaptation to a changing environment, it also implies the potential of epigenetic derailment leading to so-called epimutations. DNA methylation is the most studied epigenetic mark. DNA methylation changes have been associated with cancer, infertility, cardiovascular, respiratory, metabolic, immunologic, and neurodegenerative pathologies. Experiments in rodents demonstrate that exposure to a variety of chemical stressors, occurring during the prenatal or the adult life, may induce DNA methylation changes in germ cells, which may be transmitted across generations with phenotypic consequences. An increasing number of human biomonitoring studies show environmentally related DNA methylation changes mainly in blood leukocytes, whereas very few data have been so far collected on possible epigenetic changes induced in the germline, even by the analysis of easily accessible sperm. In this paper, we review the state of the art on factors impinging on DNA methylation in the germline, highlight gaps of knowledge, and propose priorities for future studies.
Collapse
|
226
|
Mansego ML, Milagro FI, Zulet MÁ, Moreno-Aliaga MJ, Martínez JA. Differential DNA Methylation in Relation to Age and Health Risks of Obesity. Int J Mol Sci 2015. [PMID: 26213922 PMCID: PMC4581172 DOI: 10.3390/ijms160816816] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
The aim of this study was to evaluate whether genome-wide levels of DNA methylation are associated with age and the health risks of obesity (HRO); defined according to BMI categories as "Low HRO" (overweight and class 1 obesity) versus "High HRO" (class 2 and class 3 obesity). Anthropometric measurements were assessed in a subsample of 48 volunteers from the Metabolic Syndrome Reduction in Navarra (RESMENA) study and 24 women from another independent study, Effects of Lipoic Acid and Eicosapentaenoic Acid in Human Obesity (OBEPALIP study). In the pooled population; the methylation levels of 55 CpG sites were significantly associated with age after Benjamini-Hochberg correction. In addition, DNA methylation of three CpG sites located in ELOVL2; HOXC4 and PI4KB were further negatively associated with their mRNA levels. Although no differentially methylated CpG sites were identified in relation to HRO after multiple testing correction; several nominally significant CpG sites were identified in genes related to insulin signaling; energy and lipid metabolism. Moreover, statistically significant associations between BMI or mRNA levels and two HRO-related CpG sites located in GPR133 and ITGB5 are reported. As a conclusion, these findings from two Spanish cohorts add knowledge about the important role of DNA methylation in the age-related regulation of gene expression. In addition; a relevant influence of age on DNA methylation in white blood cells was found, as well as, on a trend level, novel associations between DNA methylation and obesity.
Collapse
Affiliation(s)
- María Luisa Mansego
- CIBERobn, Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain and Department of Nutrition, Food Science and Physiology, Nutrition Research Center, University of Navarra, Pamplona 31008, Spain.
| | - Fermín I Milagro
- CIBERobn, Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain and Department of Nutrition, Food Science and Physiology, Nutrition Research Center, University of Navarra, Pamplona 31008, Spain.
| | - María Ángeles Zulet
- CIBERobn, Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain and Department of Nutrition, Food Science and Physiology, Nutrition Research Center, University of Navarra, Pamplona 31008, Spain.
- Navarra Institute for Health Research (IdiSNA), Pamplona 31008, Spain.
| | - María J Moreno-Aliaga
- CIBERobn, Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain and Department of Nutrition, Food Science and Physiology, Nutrition Research Center, University of Navarra, Pamplona 31008, Spain.
- Navarra Institute for Health Research (IdiSNA), Pamplona 31008, Spain.
| | - José Alfredo Martínez
- CIBERobn, Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain and Department of Nutrition, Food Science and Physiology, Nutrition Research Center, University of Navarra, Pamplona 31008, Spain.
- Navarra Institute for Health Research (IdiSNA), Pamplona 31008, Spain.
| |
Collapse
|
227
|
The potential role of DNA methylation in the pathogenesis of abdominal aortic aneurysm. Atherosclerosis 2015; 241:121-9. [DOI: 10.1016/j.atherosclerosis.2015.05.001] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Revised: 04/20/2015] [Accepted: 05/03/2015] [Indexed: 12/18/2022]
|
228
|
Backlund L, Wei YB, Martinsson L, Melas PA, Liu JJ, Mu N, Östenson CG, Ekström TJ, Schalling M, Lavebratt C. Mood Stabilizers and the Influence on Global Leukocyte DNA Methylation in Bipolar Disorder. MOLECULAR NEUROPSYCHIATRY 2015; 1:76-81. [PMID: 27602359 DOI: 10.1159/000430867] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2015] [Accepted: 04/21/2015] [Indexed: 11/19/2022]
Abstract
Little is known about the relationship between treatments for bipolar disorder (BD), their therapeutic responses and the DNA methylation status. We investigated whether global DNA methylation levels differ between healthy controls and bipolar patients under different treatments. Global DNA methylation was measured in leukocyte DNA from bipolar patients under lithium monotherapy (n = 29) or combination therapy (n = 32) and from healthy controls (n = 26). Lithium response was assessed using the Alda scale. Lithium in monotherapy was associated with hypomethylation (F = 4.63, p = 0.036). Lithium + valproate showed a hypermethylated pattern compared to lithium alone (F = 7.27, p = 0.011). Lithium response was not associated with DNA methylation levels. These data suggest that the choice of treatment in BD may lead to different levels of global DNA methylation. However, further research is needed to understand its clinical significance.
Collapse
Affiliation(s)
- Lena Backlund
- Neurogenetics Unit, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Centre for Psychiatric Research and Education, Karolinska University Hospital, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Ya Bin Wei
- Neurogenetics Unit, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Lina Martinsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Neurogenetics Unit, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Philippe A Melas
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Jia Jia Liu
- Neurogenetics Unit, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; School of Nursing, Shandong University, Jinan, China
| | - Ninni Mu
- Neurogenetics Unit, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Claes-Göran Östenson
- Endocrine and Diabetes Unit, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Tomas J Ekström
- Neurogenetics Unit, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Martin Schalling
- Neurogenetics Unit, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Catharina Lavebratt
- Neurogenetics Unit, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| |
Collapse
|
229
|
Ruhrmann S, Stridh P, Kular L, Jagodic M. Genomic imprinting: A missing piece of the Multiple Sclerosis puzzle? Int J Biochem Cell Biol 2015; 67:49-57. [PMID: 26002250 DOI: 10.1016/j.biocel.2015.05.010] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2015] [Revised: 05/10/2015] [Accepted: 05/11/2015] [Indexed: 12/14/2022]
Abstract
Evidence for parent-of-origin effects in complex diseases such as Multiple Sclerosis (MS) strongly suggests a role for epigenetic mechanisms in their pathogenesis. In this review, we describe the importance of accounting for parent-of-origin when identifying new risk variants for complex diseases and discuss how genomic imprinting, one of the best-characterized epigenetic mechanisms causing parent-of-origin effects, may impact etiology of complex diseases. While the role of imprinted genes in growth and development is well established, the contribution and molecular mechanisms underlying the impact of genomic imprinting in immune functions and inflammatory diseases are still largely unknown. Here we discuss emerging roles of imprinted genes in the regulation of inflammatory responses with a particular focus on the Dlk1 cluster that has been implicated in etiology of experimental MS-like disease and Type 1 Diabetes. Moreover, we speculate on the potential wider impact of imprinting via the action of imprinted microRNAs, which are abundantly present in the Dlk1 locus and predicted to fine-tune important immune functions. Finally, we reflect on how unrelated imprinted genes or imprinted genes together with non-imprinted genes can interact in so-called imprinted gene networks (IGN) and suggest that IGNs could partly explain observed parent-of-origin effects in complex diseases. Unveiling the mechanisms of parent-of-origin effects is therefore likely to teach us not only about the etiology of complex diseases but also about the unknown roles of this fascinating phenomenon underlying uneven genetic contribution from our parents. This article is part of a Directed Issue entitled: Epigenetics dynamics in development and disease.
Collapse
Affiliation(s)
- Sabrina Ruhrmann
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Pernilla Stridh
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Lara Kular
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Maja Jagodic
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.
| |
Collapse
|
230
|
Jiménez-Chillarón JC, Nijland MJ, Ascensão AA, Sardão VA, Magalhães J, Hitchler MJ, Domann FE, Oliveira PJ. Back to the future: transgenerational transmission of xenobiotic-induced epigenetic remodeling. Epigenetics 2015; 10:259-73. [PMID: 25774863 DOI: 10.1080/15592294.2015.1020267] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Epigenetics, or regulation of gene expression independent of DNA sequence, is the missing link between genotype and phenotype. Epigenetic memory, mediated by histone and DNA modifications, is controlled by a set of specialized enzymes, metabolite availability, and signaling pathways. A mostly unstudied subject is how sub-toxic exposure to several xenobiotics during specific developmental stages can alter the epigenome and contribute to the development of disease phenotypes later in life. Furthermore, it has been shown that exposure to low-dose xenobiotics can also result in further epigenetic remodeling in the germ line and contribute to increase disease risk in the next generation (multigenerational and transgenerational effects). We here offer a perspective on current but still incomplete knowledge of xenobiotic-induced epigenetic alterations, and their possible transgenerational transmission. We also propose several molecular mechanisms by which the epigenetic landscape may be altered by environmental xenobiotics and hypothesize how diet and physical activity may counteract epigenetic alterations.
Collapse
|
231
|
Zampieri M, Ciccarone F, Calabrese R, Franceschi C, Bürkle A, Caiafa P. Reconfiguration of DNA methylation in aging. Mech Ageing Dev 2015; 151:60-70. [PMID: 25708826 DOI: 10.1016/j.mad.2015.02.002] [Citation(s) in RCA: 183] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Revised: 01/20/2015] [Accepted: 02/19/2015] [Indexed: 12/12/2022]
Abstract
A complex interplay between multiple biological effects shapes the aging process. The advent of genome-wide quantitative approaches in the epigenetic field has highlighted the effective impact of epigenetic deregulation, particularly of DNA methylation, on aging. Age-associated alterations in DNA methylation are commonly grouped in the phenomenon known as "epigenetic drift" which is characterized by gradual extensive demethylation of genome and hypermethylation of a number of promoter-associated CpG islands. Surprisingly, specific DNA regions show directional epigenetic changes in aged individuals suggesting the importance of these events for the aging process. However, the epigenetic information obtained until now in aging needs a re-consideration due to the recent discovery of 5-hydroxymethylcytosine, a new DNA epigenetic mark present on genome. A recapitulation of the factors involved in the regulation of DNA methylation and the changes occurring in aging will be described in this review also considering the data available on 5 hmC.
Collapse
Affiliation(s)
- Michele Zampieri
- Department of Cellular Biotechnologies and Hematology, "Sapienza" University of Rome, Rome 00161, Italy; Pasteur Institute-Fondazione Cenci Bolognetti, Rome 00161, Italy
| | - Fabio Ciccarone
- Department of Cellular Biotechnologies and Hematology, "Sapienza" University of Rome, Rome 00161, Italy; Pasteur Institute-Fondazione Cenci Bolognetti, Rome 00161, Italy
| | - Roberta Calabrese
- Department of Cellular Biotechnologies and Hematology, "Sapienza" University of Rome, Rome 00161, Italy; Pasteur Institute-Fondazione Cenci Bolognetti, Rome 00161, Italy
| | - Claudio Franceschi
- Department of Experimental Pathology, Alma Mater Studiorum, University of Bologna, Bologna 40126, Italy
| | - Alexander Bürkle
- Molecular Toxicology Group, Department of Biology, University of Konstanz, Konstanz D-78457, Germany
| | - Paola Caiafa
- Department of Cellular Biotechnologies and Hematology, "Sapienza" University of Rome, Rome 00161, Italy; Pasteur Institute-Fondazione Cenci Bolognetti, Rome 00161, Italy.
| |
Collapse
|
232
|
Microsatellite instability in gallbladder carcinoma. Virchows Arch 2015; 466:393-402. [PMID: 25680569 DOI: 10.1007/s00428-015-1720-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Revised: 01/06/2015] [Accepted: 01/19/2015] [Indexed: 01/28/2023]
Abstract
The genetic abnormalities involved in the pathogenesis of gallbladder carcinoma (GBC) remain unclear. Microsatellite instability (MSI) has been described in many carcinomas, but little is known about the significance of mismatch repair in gallbladder carcinogenesis. Additionally, methylation status of long interspersed element-1 (LINE-1), a surrogate marker of global DNA methylation, has defined distinct subsets of other cancer types but has not been explored in GBC. Immunohistochemical expression of MSH2, MSH6, MLH1, and PMS2 and LINE-1 mRNA in situ hybridization was evaluated in 67 primary and 15 metastatic GBCs from 77 patients. Amplification of human epidermal growth factor receptor 2 (HER2) was evaluated by fluorescence in situ hybridization. Genotyping for 24 genes involved in carcinogenesis was performed using a multiplex PCR-based platform. MSI was present in 6 of 77 GBCs (7.8 %). Loss of MSH2/MSH6 was detected in five cases and loss of MLH1/PMS2 in one case. MSI status was not associated with Lynch syndrome, tumor grade, extracellular mucin, or tumor-infiltrating lymphocytes. There was no significant difference in mean overall survival of patients with and without MSI. Strong LINE-1 staining was identified in none of the GBC with MSI and in 36 of 69 (52 %) of those without MSI (p = 0.005), suggesting that LINE-1 in the former cohort was hypermethylated. All MSI tumors were negative for HER2 amplification, and TP53 and NRAS mutations were only found in GBC without MSI. MSI was identified in a minority of GBC cases. The strong correlation between global DNA methylation as measured by LINE-1 and loss of mismatch repair proteins suggests that methylation may account for the loss of these proteins. These hypermethylated tumors appear to represent a genetically unique cohort of gallbladder neoplasms, and the data suggests that demethylating agents may have a therapeutic value in this class of tumors.
Collapse
|
233
|
Lee KWK, Richmond R, Hu P, French L, Shin J, Bourdon C, Reischl E, Waldenberger M, Zeilinger S, Gaunt T, McArdle W, Ring S, Woodward G, Bouchard L, Gaudet D, Smith GD, Relton C, Paus T, Pausova Z. Prenatal exposure to maternal cigarette smoking and DNA methylation: epigenome-wide association in a discovery sample of adolescents and replication in an independent cohort at birth through 17 years of age. ENVIRONMENTAL HEALTH PERSPECTIVES 2015; 123:193-9. [PMID: 25325234 PMCID: PMC4314251 DOI: 10.1289/ehp.1408614] [Citation(s) in RCA: 136] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2014] [Accepted: 10/16/2014] [Indexed: 05/17/2023]
Abstract
BACKGROUND Prenatal exposure to maternal cigarette smoking (prenatal smoke exposure) had been associated with altered DNA methylation (DNAm) at birth. OBJECTIVE We examined whether such alterations are present from birth through adolescence. METHODS We used the Infinium HumanMethylation450K BeadChip to search across 473,395 CpGs for differential DNAm associated with prenatal smoke exposure during adolescence in a discovery cohort (n = 132) and at birth, during childhood, and during adolescence in a replication cohort (n = 447). RESULTS In the discovery cohort, we found five CpGs in MYO1G (top-ranking CpG: cg12803068, p = 3.3 × 10-11) and CNTNAP2 (cg25949550, p = 4.0 × 10-9) to be differentially methylated between exposed and nonexposed individuals during adolescence. The CpGs in MYO1G and CNTNAP2 were associated, respectively, with higher and lower DNAm in exposed versus nonexposed adolescents. The same CpGs were differentially methylated at birth, during childhood, and during adolescence in the replication cohort. In both cohorts and at all developmental time points, the differential DNAm was in the same direction and of a similar magnitude, and was not altered appreciably by adjustment for current smoking by the participants or their parents. In addition, four of the five EWAS (epigenome-wide association study)-significant CpGs in the adolescent discovery cohort were also among the top sites of differential methylation in a previous birth cohort, and differential methylation of CpGs in CYP1A1, AHRR, and GFI1 observed in that study was also evident in our discovery cohort. CONCLUSIONS Our findings suggest that modifications of DNAm associated with prenatal maternal smoking may persist in exposed offspring for many years-at least until adolescence.
Collapse
Affiliation(s)
- Ken W K Lee
- The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
234
|
Gene promoter methylation and DNA repair capacity in monozygotic twins with discordant smoking habits. MUTATION RESEARCH-GENETIC TOXICOLOGY AND ENVIRONMENTAL MUTAGENESIS 2015; 779:57-64. [DOI: 10.1016/j.mrgentox.2015.01.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2014] [Revised: 12/11/2014] [Accepted: 01/13/2015] [Indexed: 11/24/2022]
|
235
|
Nuclear and mitochondrial DNA alterations in newborns with prenatal exposure to cigarette smoke. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2015; 12:1135-55. [PMID: 25648174 PMCID: PMC4344659 DOI: 10.3390/ijerph120201135] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Accepted: 01/13/2015] [Indexed: 12/17/2022]
Abstract
Newborns exposed to maternal cigarette smoke (CS) in utero have an increased risk of developing chronic diseases, cancer, and acquiring decreased cognitive function in adulthood. Although the literature reports many deleterious effects associated with maternal cigarette smoking on the fetus, the molecular alterations and mechanisms of action are not yet clear. Smoking may act directly on nuclear DNA by inducing mutations or epigenetic modifications. Recent studies also indicate that smoking may act on mitochondrial DNA by inducing a change in the number of copies to make up for the damage caused by smoking on the respiratory chain and lack of energy. In addition, individual genetic susceptibility plays a significant role in determining the effects of smoking during development. Furthermore, prior exposure of paternal and maternal gametes to cigarette smoke may affect the health of the developing individual, not only the in utero exposure. This review examines the genetic and epigenetic alterations in nuclear and mitochondrial DNA associated with smoke exposure during the most sensitive periods of development (prior to conception, prenatal and early postnatal) and assesses how such changes may have consequences for both fetal growth and development.
Collapse
|
236
|
Yoo S, Takikawa S, Geraghty P, Argmann C, Campbell J, Lin L, Huang T, Tu Z, Feronjy R, Spira A, Schadt EE, Powell CA, Zhu J. Integrative analysis of DNA methylation and gene expression data identifies EPAS1 as a key regulator of COPD. PLoS Genet 2015; 11:e1004898. [PMID: 25569234 PMCID: PMC4287352 DOI: 10.1371/journal.pgen.1004898] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2014] [Accepted: 11/17/2014] [Indexed: 01/11/2023] Open
Abstract
Chronic Obstructive Pulmonary Disease (COPD) is a complex disease. Genetic, epigenetic, and environmental factors are known to contribute to COPD risk and disease progression. Therefore we developed a systematic approach to identify key regulators of COPD that integrates genome-wide DNA methylation, gene expression, and phenotype data in lung tissue from COPD and control samples. Our integrative analysis identified 126 key regulators of COPD. We identified EPAS1 as the only key regulator whose downstream genes significantly overlapped with multiple genes sets associated with COPD disease severity. EPAS1 is distinct in comparison with other key regulators in terms of methylation profile and downstream target genes. Genes predicted to be regulated by EPAS1 were enriched for biological processes including signaling, cell communications, and system development. We confirmed that EPAS1 protein levels are lower in human COPD lung tissue compared to non-disease controls and that Epas1 gene expression is reduced in mice chronically exposed to cigarette smoke. As EPAS1 downstream genes were significantly enriched for hypoxia responsive genes in endothelial cells, we tested EPAS1 function in human endothelial cells. EPAS1 knockdown by siRNA in endothelial cells impacted genes that significantly overlapped with EPAS1 downstream genes in lung tissue including hypoxia responsive genes, and genes associated with emphysema severity. Our first integrative analysis of genome-wide DNA methylation and gene expression profiles illustrates that not only does DNA methylation play a ‘causal’ role in the molecular pathophysiology of COPD, but it can be leveraged to directly identify novel key mediators of this pathophysiology. Chronic Obstructive Pulmonary Disease (COPD) is a common lung disease. It is the fourth leading cause of death in the world and is expected to be the third by 2020. COPD is a heterogeneous and complex disease consisting of obstruction in the small airways, emphysema, and chronic bronchitis. COPD is generally caused by exposure to noxious particles or gases, most commonly from cigarette smoking. However, only 20–25% of smokers develop clinically significant airflow obstruction. Smoking is known to cause epigenetic changes in lung tissues. Thus, genetics, epigenetic, and their interaction with environmental factors play an important role in COPD pathogenesis and progression. Currently, there are no therapeutics that can reverse COPD progression. In order to identify new targets that may lead to the development of therapeutics for curing COPD, we developed a systematic approach to identify key regulators of COPD that integrates genome-wide DNA methylation, gene expression, and phenotype data in lung tissue from COPD and control samples. Our integrative analysis identified 126 key regulators of COPD. We identified EPAS1 as the only key regulator whose downstream genes significantly overlapped with multiple genes sets associated with COPD disease severity.
Collapse
Affiliation(s)
- Seungyeul Yoo
- Institute of Genomics and Multiscale Biology, Mount Sinai School of Medicine, New York, New York, United States of America
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Sachiko Takikawa
- Division of Pulmonary, Critical Care and Sleep Medicine, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Patrick Geraghty
- Department of Medicine, St. Luke's Roosevelt Medical Center, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Carmen Argmann
- Institute of Genomics and Multiscale Biology, Mount Sinai School of Medicine, New York, New York, United States of America
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Joshua Campbell
- Division of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Luan Lin
- Institute of Genomics and Multiscale Biology, Mount Sinai School of Medicine, New York, New York, United States of America
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Tao Huang
- Institute of Genomics and Multiscale Biology, Mount Sinai School of Medicine, New York, New York, United States of America
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Zhidong Tu
- Institute of Genomics and Multiscale Biology, Mount Sinai School of Medicine, New York, New York, United States of America
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Robert Feronjy
- Department of Medicine, St. Luke's Roosevelt Medical Center, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Avrum Spira
- Division of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Eric E. Schadt
- Institute of Genomics and Multiscale Biology, Mount Sinai School of Medicine, New York, New York, United States of America
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Charles A. Powell
- Division of Pulmonary, Critical Care and Sleep Medicine, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Jun Zhu
- Institute of Genomics and Multiscale Biology, Mount Sinai School of Medicine, New York, New York, United States of America
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
- * E-mail:
| |
Collapse
|
237
|
Miozzo M, Vaira V, Sirchia SM. Epigenetic alterations in cancer and personalized cancer treatment. Future Oncol 2015; 11:333-48. [DOI: 10.2217/fon.14.237] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
ABSTRACT Based on the pivotal importance of epigenetics for transcription regulation, it is not surprising that cancer is characterized by several epigenetic abnormalities. Conversely to genetic alterations, epigenetic changes are not permanent, thus represent opportunities for therapeutic strategies designed to reverse transcriptional abnormalities, and cancer is the first disease in which epigenetic therapies with chromatin remodeling agents were introduced. The role of miRNAs in gene regulation supports their potential as innovative therapeutic strategy. Recent evidences have proven that the environment can profoundly influence the epigenome: diet, smoking and alcohol consumption can negatively impact the expression profile. Given the plasticity of epigenetic marks, it is challenging the idea that the epigenetic alterations are ‘druggable’ sites using specific food components.
Collapse
Affiliation(s)
- Monica Miozzo
- Division of Pathology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milano, Italy
- Department of Pathophysiology & Transplantation, Università degli Studi di Milano, Milano, Italy
| | - Valentina Vaira
- Division of Pathology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milano, Italy
- Istituto Nazionale di Genetica Molecolare ‘Romeo ed Enrica Invernizzi’, Integrative Biology Unit, Milano, Italy
| | | |
Collapse
|
238
|
Lee KW, Abrahamowicz M, Leonard GT, Richer L, Perron M, Veillette S, Reischl E, Bouchard L, Gaudet D, Paus T, Pausova Z. Prenatal exposure to cigarette smoke interacts with OPRM1 to modulate dietary preference for fat. J Psychiatry Neurosci 2015; 40:38-45. [PMID: 25266401 PMCID: PMC4275330 DOI: 10.1503/jpn.130263] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Preference for fatty foods is a risk factor for obesity. It is a complex behaviour that involves the brain reward system and is regulated by genetic and environmental factors, such as the opioid receptor mu-1 gene (OPRM1) and prenatal exposure to maternal cigarette smoking (PEMCS). We examined whether OPRM1 and PEMCS interact in influencing fat intake and whether exposure-associated epigenetic modifications of OPRM1 may mediate this gene-environment interaction. METHODS We studied adolescents from a French Canadian genetic founder population, half of whom were exposed prenatally to maternal cigarette smoking. Fat intake was assessed with a 24-hour food recall in the form of a structured interview conducted by a trained nutritionist. The OPRM1 variant rs2281617 was genotyped for the whole sample with the Illumina Human610-Quad and HumanOmniExpress BeadChips. Methylation of blood DNA was assessed at 21 CpGs across OPRM1 in a subset of the sample using the Illumina HumanMethylation450 BeadChip. RESULTS We included 956 adolescents in our study. In the whole sample, OPRM1 (T carrier in rs2281617) was associated with lower fat intake (-1.6%, p = 0.017), and PEMCS was associated with higher fat intake (+1.6%, p = 0.005). OPRM1 and PEMCS interacted with each other (p = 0.003); the "protective" (fat intake-lowering) allele of OPRM1 was associated with lower fat intake in nonexposed (-3.2%, p < 0.001) but not in exposed individuals (+0.8%, p = 0.42). Further, PEMCS was associated with lower DNA methylation across multiple CpGs across OPRM1 in exposed versus nonexposed individuals (p = 0.031). LIMITATIONS A limitation of our study was its cross-sectional design. CONCLUSION Our study suggests that PEMCS may interact with OPRM1 in increasing fat preference. Silencing of the protective OPRM1 allele in exposed adolescents might be related to epigenetic modification of this gene.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Zdenka Pausova
- Correspondence to: Z. Pausova, Peter Gilgan Centre for Research and Learning, 686 Bay St., 10–9705, Toronto ON M5G 0A4;
| |
Collapse
|
239
|
Richmond RC, Simpkin AJ, Woodward G, Gaunt TR, Lyttleton O, McArdle WL, Ring SM, Smith ADAC, Timpson NJ, Tilling K, Davey Smith G, Relton CL. Prenatal exposure to maternal smoking and offspring DNA methylation across the lifecourse: findings from the Avon Longitudinal Study of Parents and Children (ALSPAC). Hum Mol Genet 2014; 24:2201-17. [PMID: 25552657 PMCID: PMC4380069 DOI: 10.1093/hmg/ddu739] [Citation(s) in RCA: 266] [Impact Index Per Article: 26.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Maternal smoking during pregnancy has been found to influence newborn DNA methylation in genes involved in fundamental developmental processes. It is pertinent to understand the degree to which the offspring methylome is sensitive to the intensity and duration of prenatal smoking. An investigation of the persistence of offspring methylation associated with maternal smoking and the relative roles of the intrauterine and postnatal environment is also warranted. In the Avon Longitudinal Study of Parents and Children, we investigated associations between prenatal exposure to maternal smoking and offspring DNA methylation at multiple time points in approximately 800 mother–offspring pairs. In cord blood, methylation at 15 CpG sites in seven gene regions (AHRR, MYO1G, GFI1, CYP1A1, CNTNAP2, KLF13 and ATP9A) was associated with maternal smoking, and a dose-dependent response was observed in relation to smoking duration and intensity. Longitudinal analysis of blood DNA methylation in serial samples at birth, age 7 and 17 years demonstrated that some CpG sites showed reversibility of methylation (GFI1, KLF13 and ATP9A), whereas others showed persistently perturbed patterns (AHRR, MYO1G, CYP1A1 and CNTNAP2). Of those showing persistence, we explored the effect of postnatal smoke exposure and found that the major contribution to altered methylation was attributed to a critical window of in utero exposure. A comparison of paternal and maternal smoking and offspring methylation showed consistently stronger maternal associations, providing further evidence for causal intrauterine mechanisms. These findings emphasize the sensitivity of the methylome to maternal smoking during early development and the long-term impact of such exposure.
Collapse
Affiliation(s)
- Rebecca C Richmond
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK and
| | - Andrew J Simpkin
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK and
| | - Geoff Woodward
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK and
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK and
| | - Oliver Lyttleton
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK and
| | - Wendy L McArdle
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK and
| | - Susan M Ring
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK and
| | - Andrew D A C Smith
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK and
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK and
| | - Kate Tilling
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK and
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK and
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK and Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne NE1 3BZ, UK
| |
Collapse
|
240
|
Karambataki M, Malousi A, Kouidou S. Risk-associated coding synonymous SNPs in type 2 diabetes and neurodegenerative diseases: genetic silence and the underrated association with splicing regulation and epigenetics. Mutat Res 2014; 770:85-93. [PMID: 25771874 DOI: 10.1016/j.mrfmmm.2014.09.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2014] [Revised: 09/15/2014] [Accepted: 09/16/2014] [Indexed: 06/04/2023]
Abstract
Single nucleotide polymorphisms (SNPs) are tentatively critical with regard to disease predisposition, but coding synonymous SNPs (sSNPs) are generally considered "neutral". Nevertheless, sSNPs in serine/arginine-rich (SR) and splice-site (SS) exonic splicing enhancers (ESEs) or in exonic CpG methylation targets, could be decisive for splicing, particularly in aging-related conditions, where mis-splicing is frequently observed. We presently identified 33 genes T2D-related and 28 related to neurodegenerative diseases, by investigating the impact of the corresponding coding sSNPs on splicing and using gene ontology data and computational tools. Potentially critical (prominent) sSNPs comply with the following criteria: changing the splicing potential of prominent SR-ESEs or of significant SS-ESEs by >1.5 units (Δscore), or formation/deletion of ESEs with maximum splicing score. We also noted the formation/disruption of CpGs (tentative methylation sites of epigenetic sSNPs). All disease association studies involving sSNPs are also reported. Only 21/670 coding SNPs, mostly epigenetic, reported in 33 T2D-related genes, were found to be prominent coding synonymous. No prominent sSNPs have been recorded in three key T2D-related genes (GCGR, PPARGC1A, IGF1). Similarly, 20/366 coding synonymous were identified in ND related genes, mostly epigenetic. Meta-analysis showed that 17 of the above prominent sSNPs were previously investigated in association with various pathological conditions. Three out of four sSNPs (all epigenetic) were associated with T2D and one with NDs (branch site sSNP). Five were associated with other or related pathological conditions. None of the four sSNPs introducing new ESEs was found to be disease-associated. sSNPs introducing smaller Δscore changes (<1.5) in key proteins (INSR, IRS1, DISC1) were also correlated to pathological conditions. This data reveals that genetic variation in splicing-regulatory and particularly CpG sites might be related to disease predisposition and that in-silico analysis is useful for identifying sSNPs, which might be falsely identified as silent or synonymous.
Collapse
Affiliation(s)
- M Karambataki
- Lab of Biological Chemistry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - A Malousi
- Lab of Biological Chemistry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - S Kouidou
- Lab of Biological Chemistry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.
| |
Collapse
|
241
|
Mather KA, Kwok JB, Armstrong N, Sachdev PS. The role of epigenetics in cognitive ageing. Int J Geriatr Psychiatry 2014; 29:1162-71. [PMID: 25098266 DOI: 10.1002/gps.4183] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2014] [Accepted: 07/02/2014] [Indexed: 01/01/2023]
Abstract
OBJECTIVE As the population is ageing, a better understanding of the underlying causes of age-related cognitive decline (cognitive ageing) is required. Epigenetic dysregulation is proposed as one of the underlying mechanisms for cognitive ageing. We review the current knowledge on epigenetics and cognitive ageing and appraise the potential of epigenetic preventative and therapeutic interventions. DESIGN Articles on cognitive ageing and epigenetics in English were identified. RESULTS Epigenetic dysregulation occurs with cognitive ageing, with changes in histone post-translational modifications, DNA methylation and non-coding RNA reported. However, human studies are lacking, with most being cross-sectional using peripheral blood samples. Pharmacological and lifestyle factors have the potential to change aberrant epigenetic profiles; but few studies have examined this in relation to cognitive ageing. CONCLUSIONS The relationship between epigenetic modifications and cognitive ageing is only beginning to be investigated. Epigenetic dysregulation appears to be an important feature in cognitive ageing, but whether it is an epiphenomenon or a causal factor remains to be elucidated. Clarification of the relationship between epigenetic profiles of different cell types is essential and would determine whether epigenetic marks of peripheral tissues can be used as a proxy for changes occurring in the brain. The use of lifestyle and pharmacological interventions to improve cognitive performance and quality of life of older adults needs more investigation.
Collapse
Affiliation(s)
- Karen A Mather
- Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales, Sydney, Australia
| | | | | | | |
Collapse
|
242
|
Laird A, Thomson JP, Harrison DJ, Meehan RR. 5-hydroxymethylcytosine profiling as an indicator of cellular state. Epigenomics 2014; 5:655-69. [PMID: 24283880 DOI: 10.2217/epi.13.69] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
DNA methylation is widely studied in the context of cancer. However, the rediscovery of 5-hydroxymethylation of DNA adds a new layer of complexity to understanding the epigenetic basis of development and disease, including carcinogenesis. There have been significant advances in techniques for the detection of 5-hydroxymethylcytosine and, with this, greater insight into the distribution, regulation and function of this mark, which are reviewed here. Better understanding of the associated pathways involved in regulation of, and by, 5-hydroxymethylcytosine may give promise to new therapeutic targets. We discuss evidence to support the view of 5-hydroxymethylcytosine as a unique and dynamic mark of cellular state. These 5-hydroxymethylcytosine profiles may offer optimism for the development of diagnostic, prognostic and predictive biomarkers.
Collapse
Affiliation(s)
- Alexander Laird
- MRC Human Genetics Unit, Institute of Genetics & Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | | | | | | |
Collapse
|
243
|
Tao MH, Zhou J, Rialdi AP, Martinez R, Dabek J, Scelo G, Lissowska J, Chen J, Boffetta P. Indoor air pollution from solid fuels and peripheral blood DNA methylation: findings from a population study in Warsaw, Poland. ENVIRONMENTAL RESEARCH 2014; 134:325-30. [PMID: 25199973 DOI: 10.1016/j.envres.2014.08.017] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2014] [Revised: 08/06/2014] [Accepted: 08/15/2014] [Indexed: 06/03/2023]
Abstract
DNA methylation is a potential mechanism linking indoor air pollution to adverse health effects. Fetal and early-life environmental exposures have been associated with altered DNA methylation and play a critical role in progress of diseases in adulthood. We investigated whether exposure to indoor air pollution from solid fuels at different lifetime periods was associated with global DNA methylation and methylation at the IFG2/H19 imprinting control region (ICR) in a population-based sample of non-smoking women from Warsaw, Poland. Global methylation and IFG2/H19 ICR methylation were assessed in peripheral blood DNA from 42 non-smoking women with Luminometric Methylation Assay (LUMA) and quantitative pyrosequencing, respectively. Linear regression models were applied to estimate associations between indoor air pollution and DNA methylation in the blood. Compared to women without exposure, the levels of LUMA methylation for women who had ever exposed to both coal and wood were reduced 6.70% (95% CI: -13.36, -0.04). Using both coal and wood before age 20 was associated with 6.95% decreased LUMA methylation (95% CI: -13.79, -0.11). Further, the negative correlations were more significant with exposure to solid fuels for cooking before age 20. There were no clear associations between indoor solid fuels exposure before age 20 and through the lifetime and IFG2/H19 ICR methylation. Our study of non-smoking women supports the hypothesis that exposure to indoor air pollution from solid fuels, even early-life exposure, has the capacity to modify DNA methylation that can be detected in peripheral blood.
Collapse
Affiliation(s)
- Meng-Hua Tao
- Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States; Department of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, TX 76107, United States.
| | - Jiachen Zhou
- Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States
| | - Alexander P Rialdi
- Department of Community and Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States
| | - Regina Martinez
- Department of Biochemistry, Baylor University, Waco, TX 76798, United States
| | - Joanna Dabek
- Department of Cancer Epidemiology and Prevention, Cancer Center and M. Sklodowska-Curie Memorial Institute of Oncology, Warsaw 02781, Poland
| | - Ghislaine Scelo
- Section of Genetic Epidemiology, International Agency for Research on Cancer, Lyon 69372, France
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, Cancer Center and M. Sklodowska-Curie Memorial Institute of Oncology, Warsaw 02781, Poland
| | - Jia Chen
- Department of Community and Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States; Ruttenberg Cancer Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States
| | - Paolo Boffetta
- Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States
| |
Collapse
|
244
|
Xiao D, Dasgupta C, Li Y, Huang X, Zhang L. Perinatal nicotine exposure increases angiotensin II receptor-mediated vascular contractility in adult offspring. PLoS One 2014; 9:e108161. [PMID: 25265052 PMCID: PMC4179262 DOI: 10.1371/journal.pone.0108161] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2014] [Accepted: 08/18/2014] [Indexed: 12/18/2022] Open
Abstract
Previous studies have reported that perinatal nicotine exposure causes development of hypertensive phenotype in adult offspring. Aims The present study was to determine whether perinatal nicotine exposure causes an epigenetic programming of vascular Angiotensin II receptors (ATRs) and their-mediated signaling pathway leading to heightened vascular contraction in adult offspring. Main methods Nicotine was administered to pregnant rats via subcutaneous osmotic minipumps from day 4 of gestation to day 10 after birth. The experiments were conducted at 5 months of age of male offspring. Key Findings Nicotine treatment enhanced Angitension II (Ang II)-induced vasoconstriction and 20-kDa myosin light chain phosphorylation (MLC20-P) levels. In addition, the ratio of Ang II-induced tension/MLC-P was also significantly increased in nicotine-treated group compared with the saline group. Nicotine-mediated enhanced constrictions were not directly dependent on the changes of [Ca2+]i concentrations but dependent on Ca2+ sensitivity. Perinatal nicotine treatment significantly enhanced vascular ATR type 1a (AT1aR) but not AT1bR mRNA levels in adult rat offspring, which was associated with selective decreases in DNA methylation at AT1aR promoter. Contrast to the effect on AT1aR, nicotine decreased the mRNA levels of vascular AT2R gene, which was associated with selective increases in DNA methylation at AT2R promoter. Significance Our results indicated that perinatal nicotine exposure caused an epigenetic programming of vascular ATRs and their-mediated signaling pathways, and suggested that differential regulation of AT1R/AT2R gene expression through DNA methylation mechanism may be involved in nicotine-induced heightened vasoconstriction and development of hypertensive phenotype in adulthood.
Collapse
Affiliation(s)
- DaLiao Xiao
- Center for Perinatal Biology, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, California, United States of America
- * E-mail:
| | - Chiranjib Dasgupta
- Center for Perinatal Biology, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, California, United States of America
| | - Yong Li
- Center for Perinatal Biology, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, California, United States of America
| | - Xiaohui Huang
- Center for Perinatal Biology, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, California, United States of America
| | - Lubo Zhang
- Center for Perinatal Biology, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, California, United States of America
| |
Collapse
|
245
|
Oliver VF, Franchina M, Jaffe AE, Branham KE, Othman M, Heckenlively JR, Swaroop A, Campochiaro B, Vote BJ, Craig JE, Saffery R, Mackey DA, Qian J, Zack DJ, Hewitt AW, Merbs SL. Hypomethylation of the IL17RC promoter in peripheral blood leukocytes is not a hallmark of age-related macular degeneration. Cell Rep 2014; 5:1527-35. [PMID: 24373284 DOI: 10.1016/j.celrep.2013.11.042] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2013] [Revised: 10/25/2013] [Accepted: 11/26/2013] [Indexed: 01/06/2023] Open
Abstract
Age-related macular degeneration (AMD) is a leading cause of visual impairment worldwide. Aberrant DNA methylation within the promoter of IL17RC in peripheral blood mononuclear cells has recently been reported in AMD. To validate this association, we examined DNA methylation of the IL17RC promoter in peripheral blood. First, we used Illumina Human Methylation450 Bead Arrays, a widely accepted platform for measuring global DNA methylation. Second, methylation status at multiple sites within the IL17RC promoter was determined by bisulfite pyrosequencing in two cohorts. Third, a methylation-sensitive quantitative PCR-based assay was performed on a subset of samples. In contrast to previous findings, we did not find evidence of differential methylation between AMD cases and age-matched controls. We conclude that hypomethylation within the IL17RC gene promoter in peripheral blood is not suitable for use as a clinical biomarker of AMD. This study highlights the need for considerable replication of epigenetic association studies prior to clinical application.
Collapse
Affiliation(s)
- Verity F Oliver
- Department of Ophthalmology, Wilmer Institute, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD 21287, USA
| | - Maria Franchina
- Centre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, WA 6009, Australia
| | - Andrew E Jaffe
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21287, USA
| | - Kari E Branham
- Kellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI 48105, USA
| | - Mohammad Othman
- Kellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI 48105, USA
| | - John R Heckenlively
- Kellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI 48105, USA
| | - Anand Swaroop
- National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Betsy Campochiaro
- Department of Ophthalmology, Wilmer Institute, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD 21287, USA
| | - Brendan J Vote
- Launceston Eye Institute, University of Tasmania, Launceston 7249, Australia
| | - Jamie E Craig
- Department of Ophthalmology, Flinders University, Flinders Medical Centre, Adelaide, SA 5042, Australia
| | - Richard Saffery
- Cancer and Disease Epigenetics, Murdoch Childrens Research Institute, University of Melbourne, Royal Children's Hospital, Melbourne, VIC 3052, Australia
| | - David A Mackey
- Centre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, WA 6009, Australia
| | - Jiang Qian
- Department of Ophthalmology, Wilmer Institute, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD 21287, USA
| | - Donald J Zack
- Department of Ophthalmology, Wilmer Institute, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD 21287, USA; Department of Molecular Biology and Genetics, Department of Neuroscience, and Institute of Genetic Medicine, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD 21287, USA; Institut de la Vision, Université Pierre et Marie Curie, Paris 75012, France
| | - Alex W Hewitt
- Centre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, WA 6009, Australia; Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC 3002, Australia.
| | - Shannath L Merbs
- Department of Ophthalmology, Wilmer Institute, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD 21287, USA.
| |
Collapse
|
246
|
Pembrey M, Northstone K, Gregory S, Miller LL, Golding J. Is the growth of the child of a smoking mother influenced by the father's prenatal exposure to tobacco? A hypothesis generating longitudinal study. BMJ Open 2014; 4:e005030. [PMID: 25015471 PMCID: PMC4120379 DOI: 10.1136/bmjopen-2014-005030] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVES Transgenerational effects of different environmental exposures are of major interest, with rodent experiments focusing on epigenetic mechanisms. Previously, we have shown that if the study mother is a non-smoker, there is increased mean birth weight, length and body mass index (BMI) in her sons if she herself had been exposed prenatally to her mother's smoking. The aim of this study was to determine whether the prenatal smoke exposure of either parent influenced the growth of the fetus of a smoking woman, and whether any effects were dependent on the fetal sex. DESIGN Population-based prebirth cohort study. SETTING Avon Longitudinal Study of Parents and Children. PARTICIPANTS Participants were residents of a geographic area with expected date of delivery between April 1991 and December 1992. Among pregnancies of mothers who smoked during pregnancy, data were available concerning maternal and paternal prenatal exposures to their own mother smoking for 3502 and 2354, respectively. PRIMARY AND SECONDARY OUTCOME MEASURES Birth weight, length, BMI and head circumference. RESULTS After controlling for confounders, there were no associations with birth weight, length or BMI. There was a strong adjusted association of birth head circumference among boys whose fathers had been exposed prenatally (mean difference -0.35 cm; 95% CI -0.57 to -0.14; p=0.001). There was no such association with girls (interaction p=0.006). Similar associations were found when primiparae and multiparae were analysed separately. In order to determine whether this was reflected in child development, we examined the relationships with IQ; we found that the boys born to exposed fathers had lower IQ scores on average, and that this was particularly due to the verbal component (mean difference in verbal IQ -3.65 points; 95% CI -6.60 to -0.70). CONCLUSIONS Head size differences concerning paternal fetal exposure to smoking were unexpected and, as such, should be regarded as hypothesis generating.
Collapse
Affiliation(s)
- Marcus Pembrey
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- Centre for Child and Adolescent Health, University of Bristol, Bristol, UK
- Institute of Child Health, University College London, London, UK
| | - Kate Northstone
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Steven Gregory
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- Centre for Child and Adolescent Health, University of Bristol, Bristol, UK
| | - Laura L Miller
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Jean Golding
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- Centre for Child and Adolescent Health, University of Bristol, Bristol, UK
| |
Collapse
|
247
|
Vogelsang M, Paccez JD, Schäfer G, Dzobo K, Zerbini LF, Parker MI. Aberrant methylation of the MSH3 promoter and distal enhancer in esophageal cancer patients exposed to first-hand tobacco smoke. J Cancer Res Clin Oncol 2014; 140:1825-33. [PMID: 24934723 DOI: 10.1007/s00432-014-1736-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2014] [Accepted: 06/04/2014] [Indexed: 12/15/2022]
Abstract
PURPOSE Polymorphisms in MSH3 gene confer risk of esophageal cancer when in combination with tobacco smoke exposure. The purpose of this study was to investigate the methylation status of MSH3 gene in esophageal cancer patients in order to further elucidate possible role of MSH3 in esophageal tumorigenesis. METHODS We applied nested methylation-specific polymerase chain reaction to investigate the methylation status of the MSH3 promoter in tumors and matching adjacent normal-looking tissues of 84 esophageal cancer patients from a high-risk South African population. The Cancer Genome Atlas data were used to examine DNA methylation profiles at 17 CpG sites located in the MSH3 locus. RESULTS Overall, promoter methylation was detected in 91.9 % of tumors, which was significantly higher compared to 76.0 % in adjacent normal-looking esophageal tissues (P = 0.008). When samples were grouped according to different demographics (including age, gender and ethnicity) and smoking status of patients, methylation frequencies were found to be significantly higher in tumor tissues of Black subjects (P = 0.024), patients of 55-65 years of age (P = 0.032), males (P = 0.037) and tobacco smokers (P = 0.015). Furthermore, methylation of the MSH3 promoter was significantly more frequent in tumor samples from smokers compared to tumor samples from non-smokers [odds ratio (OR) = 31.9, P = 0.031]. The TCGA data confirmed significantly higher DNA methylation level at the MSH3 promoter region in tumors (P = 0.0024). In addition, we found evidence of an aberrantly methylated putative MSH3-associated distal enhancer element. CONCLUSION Our results suggest that methylation of MSH3 together with exposure to tobacco smoke is involved in esophageal carcinogenesis. Due to the active role of the MSH3 protein in modulating chemosensitivity of cells, methylation of MSH3 should further be examined in association with the outcome of esophageal cancer treatment using anticancer drugs.
Collapse
Affiliation(s)
- Matjaz Vogelsang
- International Centre for Genetic Engineering and Biotechnology (ICGEB), Cape Town Component, UCT Medical Campus, Anzio Road, Observatory, Cape Town, 7925, South Africa
| | | | | | | | | | | |
Collapse
|
248
|
Lin J, Chen Q, Yang J, Qian J, Deng ZQ, Qian W, Chen XX, Ma JC, Xiong DS, Ma YJ, An C, Tang CY. DDX43 promoter is frequently hypomethylated and may predict a favorable outcome in acute myeloid leukemia. Leuk Res 2014; 38:601-7. [DOI: 10.1016/j.leukres.2014.02.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2013] [Revised: 02/15/2014] [Accepted: 02/24/2014] [Indexed: 12/30/2022]
|
249
|
Joubert BR, Håberg SE, Bell DA, Nilsen RM, Vollset SE, Midttun O, Ueland PM, Wu MC, Nystad W, Peddada SD, London SJ. Maternal smoking and DNA methylation in newborns: in utero effect or epigenetic inheritance? Cancer Epidemiol Biomarkers Prev 2014; 23:1007-17. [PMID: 24740201 DOI: 10.1158/1055-9965.epi-13-1256] [Citation(s) in RCA: 94] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Maternal smoking in pregnancy is associated with adverse health outcomes in children, including cancers; underlying mechanisms may include epigenetic modifications. Using Illumina's 450K array, we previously identified differential DNA methylation related to maternal smoking during pregnancy at 26 CpG sites (CpGs) in 10 genes in newborn cord bloods from the Norwegian Mother and Child Cohort Study (MoBa). Whether these methylation signals in newborns reflect in utero exposure only or possibly epigenetic inheritance of smoking-related modifications is unclear. METHODS We therefore evaluated the impact of the timing of mother's smoking (before or during pregnancy using cotinine measured at 18 weeks gestation), the father's smoking before conception, and the grandmother's smoking during her pregnancy with the mother on methylation at these 26 CpGs in 1,042 MoBa newborns. We used robust linear regression, adjusting for covariates, applying Bonferroni correction. RESULTS The strongest and only statistically significant associations were observed for sustained smoking by the mother during pregnancy through at least gestational week 18 (P < 1.6 × 10(-5) for all 26 CpGs). We observed no statistically significant differential methylation due to smoking by the mother before pregnancy or that ceased by week 18, father's smoking before conception, or grandmother's smoking while pregnant with the mother. CONCLUSIONS Differential methylation at these CpGs in newborns seems to reflect sustained in utero exposure rather than epigenetic inheritance. IMPACT Smoking cessation in early pregnancy may negate effects on methylation. Analyses of maternal smoking during pregnancy and offspring health outcomes, including cancer, limited to ever smoking might miss true associations. Cancer Epidemiol Biomarkers Prev; 23(6); 1007-17. ©2014 AACR.
Collapse
Affiliation(s)
- Bonnie R Joubert
- Authors' Affiliations: Division of Intramural Research, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina; Fred Hutchinson Cancer Research Center, Seattle, Washington; Norwegian Institute of Public Health, Oslo; Haukeland University Hospital; University of Bergen; and Bevital A/S, Laboratoriebygget, Bergen, Norway
| | - Siri E Håberg
- Authors' Affiliations: Division of Intramural Research, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina; Fred Hutchinson Cancer Research Center, Seattle, Washington; Norwegian Institute of Public Health, Oslo; Haukeland University Hospital; University of Bergen; and Bevital A/S, Laboratoriebygget, Bergen, Norway
| | - Douglas A Bell
- Authors' Affiliations: Division of Intramural Research, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina; Fred Hutchinson Cancer Research Center, Seattle, Washington; Norwegian Institute of Public Health, Oslo; Haukeland University Hospital; University of Bergen; and Bevital A/S, Laboratoriebygget, Bergen, Norway
| | - Roy M Nilsen
- Authors' Affiliations: Division of Intramural Research, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina; Fred Hutchinson Cancer Research Center, Seattle, Washington; Norwegian Institute of Public Health, Oslo; Haukeland University Hospital; University of Bergen; and Bevital A/S, Laboratoriebygget, Bergen, NorwayAuthors' Affiliations: Division of Intramural Research, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina; Fred Hutchinson Cancer Research Center, Seattle, Washington; Norwegian Institute of Public Health, Oslo; Haukeland University Hospital; University of Bergen; and Bevital A/S, Laboratoriebygget, Bergen, Norway
| | - Stein Emil Vollset
- Authors' Affiliations: Division of Intramural Research, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina; Fred Hutchinson Cancer Research Center, Seattle, Washington; Norwegian Institute of Public Health, Oslo; Haukeland University Hospital; University of Bergen; and Bevital A/S, Laboratoriebygget, Bergen, NorwayAuthors' Affiliations: Division of Intramural Research, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina; Fred Hutchinson Cancer Research Center, Seattle, Washington; Norwegian Institute of Public Health, Oslo; Haukeland University Hospital; University of Bergen; and Bevital A/S, Laboratoriebygget, Bergen, Norway
| | - Oivind Midttun
- Authors' Affiliations: Division of Intramural Research, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina; Fred Hutchinson Cancer Research Center, Seattle, Washington; Norwegian Institute of Public Health, Oslo; Haukeland University Hospital; University of Bergen; and Bevital A/S, Laboratoriebygget, Bergen, Norway
| | - Per Magne Ueland
- Authors' Affiliations: Division of Intramural Research, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina; Fred Hutchinson Cancer Research Center, Seattle, Washington; Norwegian Institute of Public Health, Oslo; Haukeland University Hospital; University of Bergen; and Bevital A/S, Laboratoriebygget, Bergen, Norway
| | - Michael C Wu
- Authors' Affiliations: Division of Intramural Research, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina; Fred Hutchinson Cancer Research Center, Seattle, Washington; Norwegian Institute of Public Health, Oslo; Haukeland University Hospital; University of Bergen; and Bevital A/S, Laboratoriebygget, Bergen, Norway
| | - Wenche Nystad
- Authors' Affiliations: Division of Intramural Research, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina; Fred Hutchinson Cancer Research Center, Seattle, Washington; Norwegian Institute of Public Health, Oslo; Haukeland University Hospital; University of Bergen; and Bevital A/S, Laboratoriebygget, Bergen, Norway
| | - Shyamal D Peddada
- Authors' Affiliations: Division of Intramural Research, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina; Fred Hutchinson Cancer Research Center, Seattle, Washington; Norwegian Institute of Public Health, Oslo; Haukeland University Hospital; University of Bergen; and Bevital A/S, Laboratoriebygget, Bergen, Norway
| | - Stephanie J London
- Authors' Affiliations: Division of Intramural Research, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina; Fred Hutchinson Cancer Research Center, Seattle, Washington; Norwegian Institute of Public Health, Oslo; Haukeland University Hospital; University of Bergen; and Bevital A/S, Laboratoriebygget, Bergen, Norway
| |
Collapse
|
250
|
Hayashi M, Guerrero-Preston R, Okamura J, Michailidi C, Kahn Z, Li X, Ahn J, Goldsmith M, Koch W. Innovative rapid gene methylation analysis of surgical margin tissues in head and neck cancer. Ann Surg Oncol 2014; 21:3124-31. [PMID: 24671639 DOI: 10.1245/s10434-014-3661-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2014] [Indexed: 12/15/2022]
Abstract
BACKGROUND Securing the negative surgical margin is the first step in surgical cancer treatment. However, tumor recurrence sometimes occurs even with histologically negative surgical margins. To detect minimal residual cancer cells in the deep margin intraoperatively, a time-efficient molecular approach is required. METHODS We established an innovative rapid quantitative methylation PCR (QMSP) assay, which consists of substantially time-minimized DNA extraction, bisulfite treatment, and QMSP assays. To demonstrate the feasibility of this procedure, 10 serial surgical specimens of primary head and neck squamous cell carcinoma (HNSCC) were evaluated by both rapid and conventional QMSP. Two frequently methylated genes in head and neck cancer, homeobox A9 (HOXA9) and endothelin receptor type B (EDNRB) were analyzed in 10 HNSCCs and surgical margin tissues, as well as normal muscle and oral mucosa samples. RESULTS The product quality of DNA extraction and bisulfite treatment using the time-saving procedure was comparable to the conventional procedure. In the QMSP assay, target gene methylation and reference gene methylation were equally detected by both the rapid and conventional method. Finally, relative results of rapid and conventional QMSP were quite similar to each other in tumors, margins, and normal tissues. The average total time required for the rapid QMSP procedure was less than 3 h and could be accomplished by a single person. CONCLUSION From the viewpoint of accuracy, cost, and time consumption, the innovative rapid QMSP maintains highly sensitive methylation detection accomplished within the time frame of a major ablative and reconstructive procedure.
Collapse
Affiliation(s)
- Masamichi Hayashi
- Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | | | | | | | | | | | | | | |
Collapse
|