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Biomarkers of reproductive psychiatric disorders

Published online by Cambridge University Press:  20 June 2025

Semra Etyemez
Affiliation:
Department of Obstetrics & Gynecology, Weill Cornell Medical College, New York, NY, USA Department of Psychiatry, Weill Cornell Medical College, New York, NY, USA
Kruti Mehta
Affiliation:
Department of Obstetrics & Gynecology, Weill Cornell Medical College, New York, NY, USA
Sonali Iyer
Affiliation:
Department of Obstetrics & Gynecology, Weill Cornell Medical College, New York, NY, USA
İpek Özdemir
Affiliation:
Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
Lauren M. Osborne*
Affiliation:
Department of Obstetrics & Gynecology, Weill Cornell Medical College, New York, NY, USA Department of Psychiatry, Weill Cornell Medical College, New York, NY, USA
*
Correspondence: Lauren M. Osborne. Email: lmo2003@med.cornell.edu
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Abstract

Background

While biomarkers are widely used in other medical fields, psychiatry has yet to introduce reliable biological diagnostic tools. Female reproductive transitions provide a unique window of opportunity for investigating psychiatric biomarkers. Hormonal changes across menstruation, pregnancy, parturition and perimenopause can have dramatic effects on mental health in vulnerable individuals, enabling the identification of unique biomarkers associated with these fluctuations.

Aims

This review integrates current evidence concerning potential biomarkers, with focus on recent human studies in perinatal depression, anxiety and obsessive–compulsive disorder, postpartum psychosis, premenstrual dysphoric disorder and perimenopausal depression.

Method

We identified potential articles to be included in this narrative review by using PubMed to obtain articles in English since 2010 on the six conditions listed above, with the additional keywords of ‘biomarker’, ‘epigenetics’, ‘neuroactive steroid’, ‘immune’, ‘inflammatory’ and ‘neuroimaging’.

Results

There is substantial published evidence regarding potential biomarkers of reproductive psychiatric disorders in the areas of epigenetics, neuroactive steroids, immune function and neuroimaging. This body of research holds significant potential to advance biomarker development, uncover disease mechanisms and improve diagnostic and therapeutic strategies, but there is as yet no clinically useful biomarker in commercial development for any reproductive psychiatric disorder.

Conclusion

There is an urgent need for longitudinal, large-scale and multi-modal studies to examine potential biomarkers and better understand their functions across various stages of reproduction.

Information

Type
Review
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Royal College of Psychiatrists
Figure 0

Table 1 Summary of potential biomarkers

Figure 1

Fig. 1 Potential biomarkers of reproductive psychiatric disorders (created with BioRender.com). HP1BP3, heterochromatin protein 1, binding protein 3; TTC9B, tetratricopeptide repeat domain 9B; OXTR, oxytocin receptor gene; NR3C1, nuclear receptor subfamily 3 group C member 1; FOXP3, Forkhead box P3; ESC/E(Z), extra sex combs/enhancer of zeste; ADAM23, a disintegrin and metalloproteinase domain-containing protein 23; CTDP1, CTD phosphatase subunit 1; IL-6, interleukin-6; TNF-α, tumour necrosis factor-alpha; IL-1β, interleukin-1β; KYN, kynurenine; Trp, tryptophan; QUIN, quinolinic acid; Th17, T-helper 17; GABA, gamma-aminobutyric acid; HPA, hypothalamic–pituitary–adrenal; MRI, magnetic resonance imaging; PFC, prefrontal cortex; fMRI, functional magnetic resonance imaging; DMN, default mode network; MRS, magnetic resonance spectroscopy; PET, positron emission tomography; MAO-A, monoamine oxidase-A.

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