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Nursing Research and Practice
Volume 2013 (2013), Article ID 795784, 12 pages
Epigenetic Alterations and an Increased Frequency of Micronuclei in Women with Fibromyalgia
1Virginia Commonwealth University School of Nursing, 1100 East Leigh Street, Richmond, VA 23298-0567, USA
2Massey Cancer Center, Virginia Commonwealth University, VA 23298-0037, USA
3Department of Biostatistics, Virginia Commonwealth University, 830 East Main Street, Richmond, VA 23298, USA
4Department of Pathology, Virginia Commonwealth University, P.O. Box 980662, Richmond, VA 23298-0662, USA
5Neodiagnostix, 9700 Great Seneca Highway, Rockville, MD 20850, USA
6Department of Human and Molecular Genetics, Virginia Commonwealth University, P.O. Box 980033, Richmond, VA 23298-0003, USA
Received 30 April 2013; Accepted 14 July 2013
Academic Editor: Susan Dorsey
Copyright © 2013 Victoria Menzies et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- About Fibromyalgia: Economic Burden, 2013, http://fmaware.org/site/PageServerc145.html?pagename=fibromyalgia_fmFactSheet.
- M. A. Fitzcharles and M. B. Yunus, “The clinical concept of fibromyalgia as a changing paradigm in the past 20 years,” Pain Research and Treatment, vol. 2012, Article ID 184835, 8 pages, 2012.
- D. A. Williams, D. J. Clauw, and J. M. Glass, “Perceived cognitive dysfunction in fibromyalgia syndrome,” Journal of Musculoskeletal Pain, vol. 19, no. 2, pp. 66–75, 2011.
- L. Dreyer, S. Kendall, B. Danneskiold-Samsøe, E. M. Bartels, and H. Bliddal, “Mortality in a cohort of Danish patients with fibromyalgia: increased frequency of suicide,” Arthritis and Rheumatism, vol. 62, no. 10, pp. 3101–3108, 2010.
- F. Wolfe, A. L. Hassett, B. Walitt, and K. Michaud, “Mortality in fibromyalgia: a study of 8,186 patients over thirty-five years,” Arthritis Care and Research, vol. 63, no. 1, pp. 94–101, 2011.
- D. J. Wallace, “Is there a role for cytokine based therapies in fibromyalgia,” Current Pharmaceutical Design, vol. 12, no. 1, pp. 17–22, 2006.
- T. M. Brown, S. Garg, A. B. Chandran, M. McNett, S. L. Silverman, and N. Hadker, “The impact of ‘best-practice’ patient care in fibromyalgia on practice economics,” The Journal of Evaluation in Clinical Practice, vol. 18, no. 4, pp. 793–798, 2012.
- L. M. Arnold, J. Fan, I. J. Russell et al., “The fibromyalgia family study: a genome-wide linkage scan study,” Arthritis & Rheumatism, vol. 65, no. 4, pp. 1122–1128, 2013.
- K. C. Light, A. T. White, S. Tadler, E. Iacob, and A. R. Light, “Genetics and gene expression involving stress and distress pathways in fibromyalgia with and without comorbid chronic fatigue syndrome,” Pain Research and Treatment, vol. 2012, Article ID 427869, 13 pages, 2012.
- L. A. Bradley, “Pathophysiology of fibromyalgia,” American Journal of Medicine, vol. 122, no. 12, supplement, pp. S22–S30, 2009.
- S. Gürsoy, E. Erdal, H. Herken, E. Madenci, B. Alaşehirli, and N. Erdal, “Significance of catechol-O-methyltransferase gene polymorphism in fibromyalgia syndrome,” Rheumatology International, vol. 23, no. 3, pp. 104–107, 2003.
- J.-K. Zubieta, M. M. Heitzeg, Y. R. Smith et al., “COMT val158 genotype affects μ-opioid neurotransmitter responses to a pain stressor,” Science, vol. 299, no. 5610, pp. 1240–1243, 2003.
- H. Cohen, L. Neumann, Y. Glazer, R. P. Ebstein, and D. Buskila, “The relationship between a common catechol-O-methyltransferase (COMT) polymorphism val158met and fibromyalgia,” Clinical and Experimental Rheumatology, vol. 27, no. 5, supplement 56, pp. S51–S56, 2009.
- B. Bondy, M. Spaeth, M. Offenbaecher et al., “The T102C polymorphism of the 5-HT2A-receptor gene in fibromyalgia,” Neurobiology of Disease, vol. 6, no. 5, pp. 433–439, 1999.
- S. Gürsoy, E. Erdal, H. Herken, E. Madenci, and B. Alaşehirli, “Association of T102C polymorphism of the 5-HT2A receptor gene with pyschiatric status in fibromyalgia syndrome,” Rheumatology International, vol. 21, no. 2, pp. 58–61, 2001.
- M. Offenbaecher, K. Glatzeder, and M. Ackenheil, “Self-reported depression, familial history of depression and fibromyalgia (FM), and psychological distress in patients with FM,” Zeitschrift fur Rheumatologie, vol. 57, supplement 2, pp. 94–96, 1998.
- S. Gursoy, “Absence of association of the serotonin transporter gene polymorphism with the mentally healthy subset of fibromyalgia patients,” Clinical Rheumatology, vol. 21, no. 3, pp. 194–197, 2002.
- D. Buskila, H. Cohen, L. Neuman, and R. P. Ebstein, “An association between fibromyalgia and the dopamine D4 receptor exon III repeat polymorphism and relationship to novelty seeking personality traits,” Molecular Psychiatry, vol. 9, no. 8, pp. 730–727, 2004.
- G. Vargas-Alarcón, J.-M. Fragoso, D. Cruz-Robles et al., “Association of adrenergic receptor gene polymorphisms with different fibromyalgia syndrome domains,” Arthritis and Rheumatism, vol. 60, no. 7, pp. 2169–2173, 2009.
- S. B. Smith, D. W. Maixner, R. B. Fillingim et al., “Large candidate gene association study reveals genetic risk factors and therapeutic targets for fibromyalgia,” Arthritis and Rheumatism, vol. 64, no. 2, pp. 584–593, 2012.
- A. R. Light, L. Bateman, D. Jo et al., “Gene expression alterations at baseline and following moderate exercise in patients with Chronic Fatigue Syndrome and Fibromyalgia Syndrome,” Journal of Internal Medicine, vol. 271, no. 1, pp. 64–81, 2012.
- B. Frank, B. Niesler, B. Bondy et al., “Mutational analysis of serotonin receptor genes: HTR3A and HTR3B in fibromyalgia patients,” Clinical Rheumatology, vol. 23, no. 4, pp. 338–344, 2004.
- B. Tander, S. Gunes, O. Boke et al., “Polymorphisms of the serotonin-2A receptor and catechol-O-methyltransferase genes: a study on fibromyalgia susceptibility,” Rheumatology International, vol. 28, no. 7, pp. 685–691, 2008.
- M. von der Hagen, J. Schallner, A. M. Kaindl et al., “Facing the genetic heterogeneity in neuromuscular disorders: linkage analysis as an economic diagnostic approach towards the molecular diagnosis,” Neuromuscular Disorders, vol. 16, no. 1, pp. 4–13, 2006.
- B. I. Nicholl, K. L. Holliday, G. J. Macfarlane, et al., “No evidence for a role of the catechol-O-methyltransferase pain sensitivity haplotypes in chronic widespread pain,” Annals of the Rheumatic Diseases, vol. 69, no. 11, pp. 2009–2012, 2010.
- S. Katoa, Y. Katoa, T. Nakamuraa et al., “Genetic deficiency of carnitine/organic cation transporter 2 (slc22a5) is associated with altered tissue distribution of its substrate pyrilamine in mice,” Biopharmaceutics and Drug Disposition, vol. 30, no. 9, pp. 495–507, 2009.
- J. N. Ablin, H. Cohen, and D. Buskila, “Mechanisms of disease: genetics of fibromyalgia,” Nature Clinical Practice Rheumatology, vol. 2, no. 12, pp. 671–678, 2006.
- T. Klengel and E. B. Binder, “Allele-specific epigenetic modification: a molecular mechanism for gene-environment interactions in stress-related psychiatric disorders?” Epigenomics, vol. 5, no. 2, pp. 102–109, 2013.
- M. Szyf, “How do environments talk to genes?” Nature Neuroscience, vol. 16, no. 1, pp. 2–4, 2013.
- D. L. Molfese, “Advancing neuroscience through epigenetics: molecular mechanisms of learning and memory,” Developmental Neuropsychology, vol. 36, no. 7, pp. 810–827, 2011.
- G. M. Slavich and S. W. Cole, “The emerging field of human social genomics,” Clinical Psychological Science, vol. 1, no. 3, pp. 331–348, 2013.
- T. P. York, J. Brumelle, J. Juusola et al., “Increased frequency of micronuclei in adults with a history of childhood sexual abuse: a discordant monozygotic twin study,” PLoS One, vol. 8, no. 1, Article ID e55337, 2013.
- T. Kondo, M. P. Bobek, R. Kuick et al., “Whole-genome methylation scan in ICF syndrome: hypomethylation of non-satellite DNA repeats D4Z4 and NBL2,” Human Molecular Genetics, vol. 9, no. 4, pp. 597–604, 2000.
- N. T. Leach and C. Jackson-Cook, “The application of spectral karyotyping (SKY) and fluorescent in situ hybridization (FISH) technology to determine the chromosomal content(s) of micronuclei,” Mutation Research, vol. 495, no. 1-2, pp. 11–19, 2001.
- M. Fenech, “Cytokinesis-block micronucleus assay evolves into a “cytome” assay of chromosomal instability, mitotic dysfunction and cell death,” Mutation Research, vol. 600, no. 1-2, pp. 58–66, 2006.
- M. Fenech, M. Kirsch-Volders, A. T. Natarajan et al., “Molecular mechanisms of micronucleus, nucleoplasmic bridge and nuclear bud formation in mammalian and human cells,” Mutagenesis, vol. 26, no. 1, pp. 125–132, 2011.
- M. Kirsch-Volders, I. Decordier, A. Elhajouji, G. Plas, M. J. Aardema, and M. Fenech, “In vitro genotoxicity testing using the micronucleus assay in cell lines, human lymphocytes and 3D human skin models,” Mutagenesis, vol. 26, no. 1, pp. 177–184, 2011.
- V. Menzies, D. E. Lyon, R. K. Elswick Jr., N. L. McCain, and D. P. Gray, “Effects of guided imagery on biobehavioral factors in women with fibromyalgia,” Journal of Behavioral Medicine, vol. 3, p. 3, 2012.
- F. Wolfe, H. A. Smythe, M. B. Yunus, et al., “The American college of rheumatology 1990 criteria for the classification of fibromyalgia. Report of the multicenter criteria committee,” Arthritis & Rheumatism, vol. 33, no. 2, pp. 160–172, 1990.
- K. H. Jones, T. P. York, J. Juusola, A. Ferreira-Gonzalez, H. H. Maes, and C. Jackson-Cook, “Genetic and environmental influences on spontaneous micronuclei frequencies in children and adults: a twin study,” Mutagenesis, vol. 26, no. 6, pp. 745–752, 2011.
- M. Fenech and S. Bonassi, “The effect of age, gender, diet and lifestyle on DNA damage measured using micronucleus frequency in human peripheral blood lymphocytes,” Mutagenesis, vol. 26, no. 1, pp. 43–49, 2011.
- J. Jiang, Linear and Generalized Linear Mixed Models and Their Applications, Springer, New York, NY, USA, 2007.
- M. Bibikova, B. Barnes, C. Tsan et al., “High density DNA methylation array with single CpG site resolution,” Genomics, vol. 98, no. 4, pp. 288–295, 2011.
- P. Du, X. Zhang, C.-C. Huang et al., “Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis,” BMC Bioinformatics, vol. 11, article 587, 2010.
- J. Maksimovic, L. Gordon, and A. Oshlack, “SWAN: subset-quantile within array normalization for illumina infinium HumanMethylation450 BeadChips,” Genome Biology, vol. 13, no. 6, article R44, 2012.
- S. Dedeurwaerder, M. Defrance, E. Calonne, H. Denis, C. Sotiriou, and F. Fuks, “Evaluation of the infinium methylation 450K technology,” Epigenomics, vol. 3, no. 6, pp. 771–784, 2011.
- C. Zhu, Z. Xiong, Z. Zheng, Y. Chen, X. Qian, and X. Chen, “Association of serum gamma-glutamyltransferase with arterial stiffness in established coronary artery disease,” Angiology, vol. 64, no. 1, pp. 15–20, 2013.
- M. Bucan, B. S. Abrahams, K. Wang, et al., “Genome-wide analyses of exonic copy number variants in a family-based study point to novel autism susceptibility genes,” PLoS Genetics, vol. 5, no. 6, Article ID e1000536, 2009.
- M. A. Pearen, J. G. Ryall, M. A. Maxwell, N. Ohkura, G. S. Lynch, and G. E. O. Muscat, “The orphan nuclear receptor, NOR-1, is a target of β-adrenergic signaling in skeletal muscle,” Endocrinology, vol. 147, no. 11, pp. 5217–5227, 2006.
- Y. Niida and A. Yachie, “MAP7D2 is a brain expressing X-linked maternal imprinted gene in humans,” Nature Proceedings, 2011, http://hdl.handle.net/10101/npre.2011.6684.1.
- R. C. Gentleman, V. J. Carey, D. M. Bates et al., “Bioconductor: open software development for computational biology and bioinformatics,” Genome Biology, vol. 5, no. 10, article R80, 2004.
- G. K. Smyth, “Linear models and empirical bayes methods for assessing differential expression in microarray experiments,” Statistical Applications in Genetics and Molecular Biology, vol. 3, no. 1, article 3, 2004.
- R Development Core Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, 2011.
- Y. Benjamini and Y. Hochberg, “Controlling the false discovery rate: a practical and powerful approach to multiple testing,” Journal of the Royal Statistical Society. Series B, vol. 57, no. 1, pp. 289–300, 1995.
- D. W. Huang, B. T. Sherman, Q. Tan et al., “The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists,” Genome Biology, vol. 8, no. 9, article R183, 2007.
- P. F. Kuan, S. Wang, X. Zhou, and H. Chu, “A statistical framework for Illumina DNA methylation arrays,” Bioinformatics, vol. 26, no. 22, pp. 2849–2855, 2010.
- G. Iarmarcovai, M. Ceppi, A. Botta, T. Orsière, and S. Bonassi, “Micronuclei frequency in peripheral blood lymphocytes of cancer patients: a meta-analysis,” Mutation Research, vol. 659, no. 3, pp. 274–283, 2008.
- E. Murgia, M. Ballardin, S. Bonassi, A. M. Rossi, and R. Barale, “Validation of micronuclei frequency in peripheral blood lymphocytes as early cancer risk biomarker in a nested case-control study,” Mutation Research, vol. 639, no. 1-2, pp. 27–34, 2008.
- L. Migliore, F. Coppedè, M. Fenech, and P. Thomas, “Association of micronucleus frequency with neurodegenerative diseases,” Mutagenesis, vol. 26, no. 1, pp. 85–92, 2011.
- M. G. Andreassi, R. Barale, P. Iozzo, and E. Picano, “The association of micronucleus frequency with obesity, diabetes and cardiovascular disease,” Mutagenesis, vol. 26, no. 1, pp. 77–83, 2011.
- I. Y. Iourov, Y. B. Yurov, and S. G. Vorsanova, “Mosaic X chromosome aneuploidy can help to explain the male-to-female ratio in autism,” Medical Hypotheses, vol. 70, no. 2, p. 456, 2008.
- M. Fenech, A. El-Sohemy, L. Cahill et al., “Nutrigenetics and nutrigenomics: viewpoints on the current status and applications in nutrition research and practice,” Journal of Nutrigenetics and Nutrigenomics, vol. 4, no. 2, pp. 69–89, 2011.
- R. L. Jirtle and M. K. Skinner, “Environmental epigenomics and disease susceptibility,” Nature Reviews Genetics, vol. 8, no. 4, pp. 253–262, 2007.
- I. C. G. Weaver, N. Cervoni, F. A. Champagne et al., “Epigenetic programming by maternal behavior,” Nature Neuroscience, vol. 7, no. 8, pp. 847–854, 2004.
- N. T. Leach, C. Rehder, K. Jensen, S. Holt, and C. Jackson-Cook, “Human chromosomes with shorter telomeres and large heterochromatin regions have a higher frequency of acquired somatic cell aneuploidy,” Mechanisms of Ageing and Development, vol. 125, no. 8, pp. 563–573, 2004.
- N. T. Leach and C. Jackson-Cook, “Micronuclei with multiple copies of the X chromosome: do chromosomes replicate in micronuclei?” Mutation Research, vol. 554, no. 1-2, pp. 89–94, 2004.
- K. Brennan and J. M. Flanagan, “Is there a link between genome-wide hypomethylation in blood and cancer risk?” Cancer Prevention Research, vol. 5, no. 12, pp. 1345–1357, 2012.
- P. van Damme, K. Hole, A. Pimenta-Marques et al., “NatF contributes to an evolutionary shift in protein N-terminal acetylation and is important for normal chromosome segregation,” PLoS Genetics, vol. 7, no. 7, Article ID e1002169, 2011.
- M. Malcangio and V. Lessmann, “A common thread for pain and memory synapses? Brain-derived neurotrophic factor and trkB receptors,” Trends in Pharmacological Sciences, vol. 24, no. 3, pp. 116–121, 2003.
- B. J. Kerr, E. J. Bradbury, D. L. H. Bennett et al., “Brain-derived neurotrophic factor modulates nociceptive sensory inputs and NMDA-evoked responses in the rat spinal cord,” Journal of Neuroscience, vol. 19, no. 12, pp. 5138–5148, 1999.
- S. Pezet, M. Malcangio, and S. B. McMahon, “BDNF: a neuromodulator in nociceptive pathways?” Brain Research Reviews, vol. 40, no. 1–3, pp. 240–249, 2002.
- K. Yamada and T. Nabeshima, “Brain-derived neurotrophic factor/TrkB signaling in memory processes,” Journal Pharmacological Sciences, vol. 91, no. 4, pp. 267–270, 2003.
- M. F. Egan, M. Kojima, J. H. Callicott et al., “The BDNF val66met polymorphism affects activity-dependent secretion of BDNF and human memory and hippocampal function,” Cell, vol. 112, no. 2, pp. 257–269, 2003.
- D. Kofink, M. P. Boks, H. T. Timmers, and M. J. Kas, “Epigenetic dynamics in psychiatric disorders: environmental programming of neurodevelopmental processes,” Neuroscience & Biobehavioral Reviews, vol. 37, no. 5, pp. 831–845, 2013.
- M. Weber, J. J. Davies, D. Wittig et al., “Chromosome-wide and promoter-specific analyses identify sites of differential DNA methylation in normal and transformed human cells,” Nature Genetics, vol. 37, no. 8, pp. 853–862, 2005.
- K. Nakano, D. L. Boyle, and G. S. Firestein, “Regulation of DNA methylation in rheumatoid arthritis synoviocytes,” The Journal of Immunology, vol. 190, no. 3, pp. 1297–1303, 2013.
- M. K. Shanmugam and G. Sethi, “Role of epigenetics in inflammation-associated diseases,” Subcellular Biochemistry, vol. 61, pp. 627–657, 2012.