The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Alterations in DNA methylation of Fkbp5 as a determinant of blood–brain correlation of glucocorticoid exposure
Open accessAbstract
Background Epigenetic studies that utilize peripheral tissues to identify molecular substrates of neuropsychiatric disorders rely on the assumption that disease-relevant, cellular alterations that occur in the brain are mirrored and detectable in peripheral tissues such as blood. We sought to test this assumption by using a mouse model of Cushing's disease and asking whether epigenetic changes induced by glucocorticoids can be correlated between these tissue types. Methods Mice were treated with different doses of glucocorticoids in their drinking water for four weeks to assess gene expression and DNA methylation (DNAm) changes in the stress response gene Fkbp5. Results Significant linear relationships were observed between DNAm and four-week mean plasma corticosterone levels for both blood (R(2)=0.68, P=7.1×10(-10)) and brain (R(2)=0.33, P=0.001). Further, degree of methylation change in blood correlated significantly with both methylation (R(2)=0.49, P=2.7×10(-5)) and expression (R(2)=0.43, P=3.5×10(-5)) changes in hippocampus, with the notable observation that methylation changes occurred at different intronic regions between blood and brain tissues. Conclusion Although our findings are limited to several intronic CpGs in a single gene, our results demonstrate that DNA from blood can be used to assess dynamic, glucocorticoid-induced changes occurring in the brain. However, for such correlation analyses to be effective, tissue-specific locations of these epigenetic changes may need to be considered when investigating brain-relevant changes in peripheral tissues.
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“Previous work indicates some overlap between MDD-associated differentially methylated regions (DMRs) in blood and the MDD-associated DMRs in the prefrontal cortex and other brain regions.82–85”
From Epigenetic regulation in major depression and other stress-related disorders: molecular mechanisms, clinical relevance and therapeutic potential (2023) · cites this paper as [83]
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
DNA methylation arrays as surrogate measures of cell mixture distribution
Houseman, E. A., Accomando, W. P., Koestler, D. C., Christensen, B. C., Marsit, C. J., Nelson, H. H., Wiencke, J. K., & Kelsey, K. T. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-86 · Cited by 3,175
Irizarry, R. A., Ladd-Acosta, C., Wen, B., Wu, Z., Montano, C., Onyango, P., Cui, H., Gabo, K., Rongione, M., Webster, M., et al. (2009) · Nature Genetics · doi:10.1038/ng.298 · Cited by 2,177
Self-citationMcEwen, B. S., & Gianaros, P. J. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.05331.x · Cited by 1,715
Allele-specific FKBP5 DNA demethylation mediates gene–childhood trauma interactions
Klengel, T., Mehta, D., Anacker, C., Rex-Haffner, M., Pruessner, J. C., Pariante, C. M., Pace, T. W. W., Mercer, K. B., Mayberg, H. S., Bradley, B., et al. (2013) · Nature Neuroscience · doi:10.1038/nn.3275 · Cited by 1,447
High-Resolution Mapping and Characterization of Open Chromatin across the Genome
Boyle, A. P., Davis, S., Shulha, H. P., Meltzer, P., Margulies, E. H., Weng, Z., Furey, T. S., & Crawford, G. E. (2008) · Cell · doi:10.1016/j.cell.2007.12.014 · Cited by 1,415
Binder, E. B. (2008) · JAMA · doi:10.1001/jama.299.11.1291 · Cited by 1,362
Binder, E. B., Salyakina, D., Lichtner, P., Wochnik, G. M., Ising, M., Pütz, B., Papiol, S., Seaman, S., Lucae, S., Kohli, M. A., et al. (2004) · Nature Genetics · doi:10.1038/ng1479 · Cited by 977
Aging effects on DNA methylation modules in human brain and blood tissue
Horvath, S., Zhang, Y., Langfelder, P., Kahn, R. S., Boks, M. P., van Eijk, K. R., van den Berg, L. H., & Ophoff, R. A. (2012) · Genome biology · doi:10.1186/gb-2012-13-10-r97 · Cited by 652
Wochnik, G. M., Rüegg, J., Abel, G. A., Schmidt, U., Holsboer, F., & Rein, T. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m407498200 · Cited by 638
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Metadata
- Authors
- Ewald, E. R., Wand, G. S., Seifuddin, F., Yang, X., Tamashiro, K. L., Potash, J. B., Zandi, P., & Lee, R. S.
- Affiliations
- Johns Hopkins University (US)
- University of Iowa (US)
- Corresponding author
- Lee, Richard S.
- Venue
- Psychoneuroendocrinology
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 44
- Pages
- 112-122
- ISSN
- 0306-4530 (ISSN-L)
- PMC
- PMC4047971
- OpenAlex
- W2117041810
- Cited by
- 105
- References
- 43
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 5 · 2023: 6 · 2022: 8 · 2021: 7 · 2020: 10 · 2019: 11 · 2018: 13 · 2017: 15 · 2016: 8 · 2015: 11 · 2014: 5
- FWCI
- 4.91
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Psychoneuroendocrinology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (UO1 AA020890, K05AA020342, U01AA020890)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD-055030, R00HD055030, K99HD055030)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Syndromes and Imprinting
- Keywords
- DNA methylation, FKBP5, glucocorticoids, Cushing's disease, epigenetic biomarkers, corticosterone, hippocampus
- MeSH terms
- Tacrolimus Binding Protein 5, Animals, Brain, Corticosterone, Glucocorticoids, Male, Mice, Inbred C57BL, DNA Methylation, Tacrolimus Binding Proteins, Mice
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