Epigenetic prediction of 17β-estradiol and relationship to trauma-related outcomes in women
17β-estradiol (E2) levels in women correlate with multiple neuropsychiatric symptoms, including those that are stress-related. Furthermore, prior work from our group has demonstrated that E2 status influences DNA methylation (DNAm) across the genome. We developed and validated a DNAm-based predictor...
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Format: | Article |
Language: | English |
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Elsevier
2021-05-01
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Series: | Comprehensive Psychoneuroendocrinology |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2666497621000199 |
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doaj-ff4c27568b784f5c9f3ef932fbdec4fe |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Laura M. Hack Shota Nishitani Anna K. Knight Varun Kilaru Stephanie A. Maddox Antonia V. Seligowski Tanja Jovanovic Kerry J. Ressler Alicia K. Smith Vasiliki Michopoulos |
spellingShingle |
Laura M. Hack Shota Nishitani Anna K. Knight Varun Kilaru Stephanie A. Maddox Antonia V. Seligowski Tanja Jovanovic Kerry J. Ressler Alicia K. Smith Vasiliki Michopoulos Epigenetic prediction of 17β-estradiol and relationship to trauma-related outcomes in women Comprehensive Psychoneuroendocrinology DNA methylation Estrogen Random forests (RFs) Machine learning Biomarker Trauma |
author_facet |
Laura M. Hack Shota Nishitani Anna K. Knight Varun Kilaru Stephanie A. Maddox Antonia V. Seligowski Tanja Jovanovic Kerry J. Ressler Alicia K. Smith Vasiliki Michopoulos |
author_sort |
Laura M. Hack |
title |
Epigenetic prediction of 17β-estradiol and relationship to trauma-related outcomes in women |
title_short |
Epigenetic prediction of 17β-estradiol and relationship to trauma-related outcomes in women |
title_full |
Epigenetic prediction of 17β-estradiol and relationship to trauma-related outcomes in women |
title_fullStr |
Epigenetic prediction of 17β-estradiol and relationship to trauma-related outcomes in women |
title_full_unstemmed |
Epigenetic prediction of 17β-estradiol and relationship to trauma-related outcomes in women |
title_sort |
epigenetic prediction of 17β-estradiol and relationship to trauma-related outcomes in women |
publisher |
Elsevier |
series |
Comprehensive Psychoneuroendocrinology |
issn |
2666-4976 |
publishDate |
2021-05-01 |
description |
17β-estradiol (E2) levels in women correlate with multiple neuropsychiatric symptoms, including those that are stress-related. Furthermore, prior work from our group has demonstrated that E2 status influences DNA methylation (DNAm) across the genome. We developed and validated a DNAm-based predictor of E2 (one of four naturally occurring estrogens) using a training set of 183 females and a test set of 79 females from the same traumatized cohort. We showed that predicted E2 levels were highly correlated with measured E2 concentrations in our testing set (r = 0.75, p = 1.8e-15). We further demonstrated that predicted E2 concentrations, in combination with measured values, negatively correlated with current post-traumatic stress disorder (PTSD) (β = −0.38, p = 0.01) and major depressive disorder (MDD) diagnoses (β = −0.45, p = 0.02), as well as a continuous measure of PTSD symptom severity (β = −2.3, p = 0.007) in females. Finally, we tested our predictor in an independent data set (n = 85) also comprised of recently traumatized female subjects to determine if the predictor would generalize to a different population than the one on which it was developed. We found that the correlation between predicted and actual E2 concentrations in the external validation data set was also high (r = 0.48, p = 3.0e-6). While further validation is warranted, a DNAm predictor of E2 concentrations will advance our understanding of hormone-epigenetic interactions. Furthermore, such a DNAm predictor may serve as an epigenetic proxy for E2 concentrations and thus provide an important biomarker to better evaluate the contribution of E2 to current and potentially future psychiatric symptoms in samples for which E2 is not measured. |
topic |
DNA methylation Estrogen Random forests (RFs) Machine learning Biomarker Trauma |
url |
http://www.sciencedirect.com/science/article/pii/S2666497621000199 |
work_keys_str_mv |
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spelling |
doaj-ff4c27568b784f5c9f3ef932fbdec4fe2021-05-22T04:38:30ZengElsevierComprehensive Psychoneuroendocrinology2666-49762021-05-016100045Epigenetic prediction of 17β-estradiol and relationship to trauma-related outcomes in womenLaura M. Hack0Shota Nishitani1Anna K. Knight2Varun Kilaru3Stephanie A. Maddox4Antonia V. Seligowski5Tanja Jovanovic6Kerry J. Ressler7Alicia K. Smith8Vasiliki Michopoulos9Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA; Sierra Pacific Mental Illness Research Education and Clinical Centers, VA Palo Alto Health Care System, Palo Alto, CA, USADepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA; Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USADepartment of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USADepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USANeurobiology of Fear Laboratory, Depression and Anxiety Disorders Division, McLean Hospital, Belmont, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USANeurobiology of Fear Laboratory, Depression and Anxiety Disorders Division, McLean Hospital, Belmont, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USADepartment of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USADepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA; Neurobiology of Fear Laboratory, Depression and Anxiety Disorders Division, McLean Hospital, Belmont, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USADepartment of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA; Corresponding author. Gynecology and Obstetrics Emory University, SOM 101 Woodruff Circle NE, Ste 4217, Atlanta, GA, 30322, USA.Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA17β-estradiol (E2) levels in women correlate with multiple neuropsychiatric symptoms, including those that are stress-related. Furthermore, prior work from our group has demonstrated that E2 status influences DNA methylation (DNAm) across the genome. We developed and validated a DNAm-based predictor of E2 (one of four naturally occurring estrogens) using a training set of 183 females and a test set of 79 females from the same traumatized cohort. We showed that predicted E2 levels were highly correlated with measured E2 concentrations in our testing set (r = 0.75, p = 1.8e-15). We further demonstrated that predicted E2 concentrations, in combination with measured values, negatively correlated with current post-traumatic stress disorder (PTSD) (β = −0.38, p = 0.01) and major depressive disorder (MDD) diagnoses (β = −0.45, p = 0.02), as well as a continuous measure of PTSD symptom severity (β = −2.3, p = 0.007) in females. Finally, we tested our predictor in an independent data set (n = 85) also comprised of recently traumatized female subjects to determine if the predictor would generalize to a different population than the one on which it was developed. We found that the correlation between predicted and actual E2 concentrations in the external validation data set was also high (r = 0.48, p = 3.0e-6). While further validation is warranted, a DNAm predictor of E2 concentrations will advance our understanding of hormone-epigenetic interactions. Furthermore, such a DNAm predictor may serve as an epigenetic proxy for E2 concentrations and thus provide an important biomarker to better evaluate the contribution of E2 to current and potentially future psychiatric symptoms in samples for which E2 is not measured.http://www.sciencedirect.com/science/article/pii/S2666497621000199DNA methylationEstrogenRandom forests (RFs)Machine learningBiomarkerTrauma |