The Monoamine–Glutamate Continuum of Depression: A Neurobiological Framework for Precision Psychiatry

Background/Objectives: Major depressive disorder (MDD) remains a leading cause of disability worldwide and exhibits substantial biological heterogeneity that is not adequately captured by current symptom-based diagnostic systems. While the classical monoamine hypothesis has historically guided antidepressant development, it does not fully account for variability in treatment response, delayed therapeutic onset, or the persistence of cognitive and anhedonic symptoms. Converging evidence from molecular, neuroimaging, and translational studies increasingly implicates glutamatergic dysregulation and impaired neuroplasticity as key mechanisms in depressive pathology. This narrative review aims to integrate monoaminergic and glutamatergic perspectives within a dimensional framework that may help explain clinical heterogeneity and inform mechanism-based treatment strategies. Methods: A narrative synthesis of the literature was conducted using major biomedical databases including PubMed, Scopus, and Web of Science. Preclinical studies, neuroimaging investigations, biomarker research, randomized clinical trials, and meta-analyses examining monoaminergic dysfunction, glutamatergic signaling, neuroplasticity pathways, and rapid-acting antidepressants were reviewed and thematically integrated. Results: Evidence indicates that depressive syndromes may reflect varying contributions of monoaminergic dysregulation and glutamatergic–neuroplastic impairment. Monoaminergic disturbances interact with inflammatory and neuroendocrine processes, including cytokine-driven activation of the kynurenine pathway. In parallel, alterations in glutamatergic signaling, glial function, and BDNF–TrkB–mTOR pathways contribute to synaptic atrophy and network dysfunction. Rapid-acting antidepressants such as ketamine, esketamine, and dextromethorphan–bupropion provide clinical proof-of-concept that direct engagement of synaptic plasticity mechanisms can accelerate symptom improvement, particularly in treatment-resistant depression. Conclusions: Integrating monoaminergic and glutamatergic mechanisms within a “monoamine–glutamate continuum” offers a conceptual framework for understanding depressive heterogeneity and treatment response. Multimodal approaches combining clinical phenotyping with inflammatory, neuroimaging, and molecular markers may ultimately support mechanism-informed precision psychiatry strategies in major depressive disorder.

Authors

Institutions

Publication Details

Journal
Pharmaceuticals
Published
2026-04-24
DOI
https://doi.org/10.3390/ph19050662
Primary Topic
Treatment of Major Depression
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Monoamine–Glutamate Continuum of Depression: A Neurobiological Framework for Precision Psychiatry

Andrea M. Fagiolini, Pietro Carmellini, Mario Pinzi, Maria Beatrice Rescalli et al.
Pharmaceuticals
Treatment of Major Depression
article

The Monoamine–Glutamate Continuum of Depression: A Neurobiological Framework for Precision Psychiatry

Andrea M. Fagiolini, Pietro Carmellini, Mario Pinzi, Maria Beatrice Rescalli, Alessandro Cuomo, Afendra Dourmas
article en

Abstract

Background/Objectives: Major depressive disorder (MDD) remains a leading cause of disability worldwide and exhibits substantial biological heterogeneity that is not adequately captured by current symptom-based diagnostic systems. While the classical monoamine hypothesis has historically guided antidepressant development, it does not fully account for variability in treatment response, delayed therapeutic onset, or the persistence of cognitive and anhedonic symptoms. Converging evidence from molecular, neuroimaging, and translational studies increasingly implicates glutamatergic dysregulation and impaired neuroplasticity as key mechanisms in depressive pathology. This narrative review aims to integrate monoaminergic and glutamatergic perspectives within a dimensional framework that may help explain clinical heterogeneity and inform mechanism-based treatment strategies. Methods: A narrative synthesis of the literature was conducted using major biomedical databases including PubMed, Scopus, and Web of Science. Preclinical studies, neuroimaging investigations, biomarker research, randomized clinical trials, and meta-analyses examining monoaminergic dysfunction, glutamatergic signaling, neuroplasticity pathways, and rapid-acting antidepressants were reviewed and thematically integrated. Results: Evidence indicates that depressive syndromes may reflect varying contributions of monoaminergic dysregulation and glutamatergic–neuroplastic impairment. Monoaminergic disturbances interact with inflammatory and neuroendocrine processes, including cytokine-driven activation of the kynurenine pathway. In parallel, alterations in glutamatergic signaling, glial function, and BDNF–TrkB–mTOR pathways contribute to synaptic atrophy and network dysfunction. Rapid-acting antidepressants such as ketamine, esketamine, and dextromethorphan–bupropion provide clinical proof-of-concept that direct engagement of synaptic plasticity mechanisms can accelerate symptom improvement, particularly in treatment-resistant depression. Conclusions: Integrating monoaminergic and glutamatergic mechanisms within a “monoamine–glutamate continuum” offers a conceptual framework for understanding depressive heterogeneity and treatment response. Multimodal approaches combining clinical phenotyping with inflammatory, neuroimaging, and molecular markers may ultimately support mechanism-informed precision psychiatry strategies in major depressive disorder.

PharmaceuticalsVol. 19(5)
University of Siena (IT)
European Commission
Good health and well-being
Openalex Percentile: Top 8%
Treatment of Major Depression
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.