Pre-treatment allostatic load and metabolic dysregulation predict SSRI response in major depressive disorder: a preliminary report.

TitlePre-treatment allostatic load and metabolic dysregulation predict SSRI response in major depressive disorder: a preliminary report.
Publication TypeJournal Article
Year of Publication2021
AuthorsHough, CM, F Bersani, S, Mellon, SH, Morford, AE, Lindqvist, D, Reus, VI, Epel, ES, Wolkowitz, OM
JournalPsychol Med
Volume51
Issue12
Pagination2117-2125
Date Published2021 Sep
ISSN1469-8978
KeywordsAllostasis, Antidepressive Agents, Cross-Sectional Studies, Depressive Disorder, Major, Humans, Selective Serotonin Reuptake Inhibitors
Abstract

BACKGROUND: Major depressive disorder (MDD) is associated with increased allostatic load (AL; a measure of physiological costs of repeated/chronic stress-responding) and metabolic dysregulation (MetD; a measure of metabolic health and precursor to many medical illnesses). Though AL and MetD are associated with poor somatic health outcomes, little is known regarding their relationship with antidepressant-treatment outcomes.

METHODS: We determined pre-treatment AL and MetD in 67 healthy controls and 34 unmedicated, medically healthy MDD subjects. Following this, MDD subjects completed 8-weeks of open-label selective serotonin reuptake inhibitor (SSRI) antidepressant treatment and were categorized as 'Responders' (⩾50% improvement in depression severity ratings) or 'Non-responders' (<50% improvement). Logistic and linear regressions were performed to determine if pre-treatment AL or MetD scores predicted SSRI-response. Secondary analyses examined cross-sectional differences between MDD and control groups.

RESULTS: Pre-treatment AL and MetD scores significantly predicted continuous antidepressant response (i.e. absolute decreases in depression severity ratings) ( = 0.012 and 0.014, respectively), as well as post-treatment status as a Responder or Non-responder ( = 0.022 and 0.040, respectively), such that higher pre-treatment AL and MetD were associated with poorer SSRI-treatment outcomes. Pre-treatment AL and MetD of Responders were similar to Controls, while those of Non-responders were significantly higher than both Responders ( = 0.025 and 0.033, respectively) and Controls ( = 0.039 and 0.001, respectively).

CONCLUSIONS: These preliminary findings suggest that indices of metabolic and hypothalamic-pituitary-adrenal-axis dysregulation are associated with poorer SSRI-treatment response. To our knowledge, this is the first study to demonstrate that these markers of medical disease risk also predict poorer antidepressant outcomes.

DOI10.1017/S0033291720000896
Alternate JournalPsychol Med
PubMed ID32438932
Grant ListR01 MH083784 / MH / NIMH NIH HHS / United States
UL1 RR024131 / RR / NCRR NIH HHS / United States