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The role of epigenetics in perinatal depression: Are there any candidate biomarkers?
Greta Silvia Carnevali1, Massimiliano Buoli2
1Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122 Milan, Italy.
Insights
Perinatal depression (PD) affects 12% of women and may involve epigenetic changes in systems like the HPA axis. Further research with larger samples is needed to confirm these preliminary findings for biomarker development.
Area of Science:
- Reproductive health
- Neuroscience
- Genetics
Background:
- Perinatal depression (PD) affects approximately 12% of women.
- PD is linked to adverse outcomes like low birth weight and increased risk of maternal suicide.
- Identifying biomarkers for PD is crucial for early detection and treatment development.
Purpose of the Study:
- To review potential epigenetic biomarkers associated with Perinatal Depression (PD).
Main Methods:
- A bibliographic search was conducted on PubMed.
- Nine studies met the inclusion criteria for the review.
Main Results:
- Women with PD show epigenetic alterations compared to healthy controls.
- Alterations are noted in the Hypothalamic Pituitary Adrenal (HPA) axis, oxytocin system, inflammatory response, neuronal differentiation, and circadian rhythms.
- Preliminary data suggest PD may involve specific epigenetic changes.
Conclusions:
- Epigenetic changes in various biological systems may contribute to the etiology of PD.
- Current data are preliminary and require larger sample sizes for confirmation.
- Future research with larger cohorts is necessary to validate findings and hypotheses.
Background:
Approximately 12% of all women will be affected by Perinatal Depression (PD), a condition associated with an increased risk for low birth weight, preterm birth, preeclampsia, maternal suicide and infanticide. The identification of biomarkers for PD could be useful for early identification and for the development of new treatments. Purpose of the present manuscript is to review the potential epigenetic biomarkers which were associated with PD.
Methods:
We performed a bibliographic research on PubMed, in order to find studies that proposed epigenetic biomarkers for PD. A total of 9 studies met our inclusion criteria.
Results:
Most available data are concordant in showing that women affected by PD have epigenetic alterations versus Healthy Controls (HC), especially with regard to Hypothalamic Pituitary Adrenal (HPA) axis, oxytocin system, inflammatory response, neuronal differentiation and circadian rhythms. PD might be characterized by specific epigenetic changes; however, the available data are preliminary.
Limitations:
Many articles report results obtained on a limited sample size, in different cell types or tissues. Furthermore, sometimes the studies selected a restricted number of genes. As a result, most available data have not been replicated.
Conclusions:
Epigenetic changes of different biological systems could be involved in the etiology of PD. However, until now data are too scanty to draw definitive conclusions. Future studies with larger samples can confirm the results and hypothesis presented in this review.
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