Evidence map›Paper›PMID 35757356›Full record

ArticleComprehensive psychoneuroendocrinology2021

Epigenetic prediction of 17β-estradiol and relationship to trauma-related outcomes in women.

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

Abstract read
In one paragraph

Article in Comprehensive psychoneuroendocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Laura M HackDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.
Shota NishitaniDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.
Anna K KnightDepartment of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA.
Varun KilaruDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.
Stephanie A MaddoxNeurobiology of Fear Laboratory, Depression and Anxiety Disorders Division, McLean Hospital, Belmont, MA, USA.
Antonia V SeligowskiNeurobiology of Fear Laboratory, Depression and Anxiety Disorders Division, McLean Hospital, Belmont, MA, USA.
Tanja JovanovicDepartment of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA.
Kerry J ResslerDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.
Alicia K SmithDepartment of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA.
Vasiliki MichopoulosDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

BiomarkerDNA methylationEstrogenMachine learningRandom forests (RFs)Trauma

Identifiers

PMID35757356
PMCPMC9216622

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.