Application of Treatment Response Biomarkers from Major Depression to Perinatal Depression

<b>Background/Objectives</b>: Perinatal depression poses significant risks to maternal and fetal health, yet biomarkers for treatment response in the field remain limited. Given the overlap in symptoms with major depressive disorder (MDD) and the comparatively more vast MDD literature, identifying promising MDD biomarkers for treatment response and examining corresponding perinatal depression biomarkers can reveal translational opportunities. <b>Methods</b>: PUBMED searches were conducted for individual biomarkers and MDD and perinatal depression, as well as with treatment response to antidepressant pharmacological treatment and neuromodulation treatments. When available, evidence from meta-analyses and systematic reviews were preferentially summarized. <b>Review</b>: This narrative review presents the current evidence on MDD and perinatal depression treatment response biomarkers, including brain-derived neurotrophic factor (BDNF), S100 calcium-binding protein B (S100B), electroencephalography, event-related potentials, metabolomics, hypothalamic-pituitary-adrenal axis hormones, neuroimaging markers, inflammatory markers, and neuroactive steroids. <b>Conclusions</b>: Biomarker research in MDD yields insights on promising biomarkers for treatment response, including BDNF, S100B, theta band density and cordance, inflammatory markers IL-8, CRP, and TNF- α, and neuroactive steroids.

Authors

Institutions

Publication Details

Journal
Journal of Personalized Medicine
Published
2025-12-06
DOI
https://doi.org/10.3390/jpm15120607
Primary Topic
Maternal Mental Health During Pregnancy and Postpartum
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of Treatment Response Biomarkers from Major Depression to Perinatal Depression

Brandon Hage, Melissa Wagner-Schuman, Wan Y. Kwok, Tory A. Eisenlohr‐Moul
Journal of Personalized Medicine
Maternal Mental Health During Pregnancy and Postpartum
article

Application of Treatment Response Biomarkers from Major Depression to Perinatal Depression

Brandon Hage, Melissa Wagner-Schuman, Wan Y. Kwok, Tory A. Eisenlohr‐Moul
article en

Abstract

<b>Background/Objectives</b>: Perinatal depression poses significant risks to maternal and fetal health, yet biomarkers for treatment response in the field remain limited. Given the overlap in symptoms with major depressive disorder (MDD) and the comparatively more vast MDD literature, identifying promising MDD biomarkers for treatment response and examining corresponding perinatal depression biomarkers can reveal translational opportunities. <b>Methods</b>: PUBMED searches were conducted for individual biomarkers and MDD and perinatal depression, as well as with treatment response to antidepressant pharmacological treatment and neuromodulation treatments. When available, evidence from meta-analyses and systematic reviews were preferentially summarized. <b>Review</b>: This narrative review presents the current evidence on MDD and perinatal depression treatment response biomarkers, including brain-derived neurotrophic factor (BDNF), S100 calcium-binding protein B (S100B), electroencephalography, event-related potentials, metabolomics, hypothalamic-pituitary-adrenal axis hormones, neuroimaging markers, inflammatory markers, and neuroactive steroids. <b>Conclusions</b>: Biomarker research in MDD yields insights on promising biomarkers for treatment response, including BDNF, S100B, theta band density and cordance, inflammatory markers IL-8, CRP, and TNF- α, and neuroactive steroids.

Journal of Personalized MedicineVol. 15(12)
University of Illinois Chicago (US), University of Cincinnati (US)
Openalex Percentile: Top 50%
Maternal Mental Health During Pregnancy and Postpartum
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.