Treatment-Resistant Depression as a Heterogeneous Clinical Syndrome: A Personalized Medicine Framework for Diagnostic Reassessment, Suicide Risk, and Mechanism-Based Treatment

Background: Treatment-resistant depression (TRD) is an operational category based on inadequate outcome after adequate antidepressant treatment. The same label may encompass insufficient treatment exposure, an incorrect primary diagnosis, clinically important comorbidity, or depressive illnesses with different maintaining mechanisms. This heterogeneity limits the clinical meaning of treatment history alone and complicates individualized care. Objective: To integrate evidence on diagnostic reassessment, suicide risk, neurobiology, psychological and functional factors, and treatment, and to define a clinically testable personalized medicine framework for TRD. Methods: Targeted PubMed/MEDLINE searches were conducted from database inception through 31 July 2026 and supplemented by reference-list searching. Two authors independently assessed publications for relevance, and disagreements were resolved by discussion and consensus. Ninety-six sources were included and synthesized narratively. Results: Inadequate exposure or adherence can produce pseudo-resistance, whereas bipolar spectrum illness, neurodevelopmental or trauma-related conditions, personality pathology, sleep or substance-related disorders, and medical disease may represent alternative diagnoses, comorbidities, or modifiers of treatment course. Glutamatergic signaling, impaired plasticity, stress-system dysregulation, inflammation, circadian disturbance, metabolism, and neural circuitry contribute to heterogeneity at the group level but do not define validated individual subtypes. Established pharmacological, psychological, and neuromodulatory interventions should be selected according to diagnosis, severity, urgency, previous response, comorbidity, functional impairment, safety, feasibility, and patient preference. Conclusions: TRD is an operational treatment-history category, not a unitary disease. A personalized medicine approach begins with confirmation of major depressive disorder, adequate treatment exposure and adherence, followed by parallel treatment of depression and clinically relevant comorbidity. Biomarkers should guide allocation only when they provide prospectively validated predictive value beyond high-quality clinical and functional assessment.

Authors

Institutions

Publication Details

Journal
Journal of Personalized Medicine
Published
2026-09-13
DOI
https://doi.org/10.3390/jpm16090468
Primary Topic
Treatment of Major Depression
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Treatment-Resistant Depression as a Heterogeneous Clinical Syndrome: A Personalized Medicine Framework for Diagnostic Reassessment, Suicide Risk, and Mechanism-Based Treatment

Lamberto Briziarelli, Barry Karlsson, Swetang J Shah, Davoud Amiri et al.
Journal of Personalized Medicine
Treatment of Major Depression
article

Treatment-Resistant Depression as a Heterogeneous Clinical Syndrome: A Personalized Medicine Framework for Diagnostic Reassessment, Suicide Risk, and Mechanism-Based Treatment

Lamberto Briziarelli, Barry Karlsson, Swetang J Shah, Davoud Amiri, Sara Amiri
article en

Abstract

Background: Treatment-resistant depression (TRD) is an operational category based on inadequate outcome after adequate antidepressant treatment. The same label may encompass insufficient treatment exposure, an incorrect primary diagnosis, clinically important comorbidity, or depressive illnesses with different maintaining mechanisms. This heterogeneity limits the clinical meaning of treatment history alone and complicates individualized care. Objective: To integrate evidence on diagnostic reassessment, suicide risk, neurobiology, psychological and functional factors, and treatment, and to define a clinically testable personalized medicine framework for TRD. Methods: Targeted PubMed/MEDLINE searches were conducted from database inception through 31 July 2026 and supplemented by reference-list searching. Two authors independently assessed publications for relevance, and disagreements were resolved by discussion and consensus. Ninety-six sources were included and synthesized narratively. Results: Inadequate exposure or adherence can produce pseudo-resistance, whereas bipolar spectrum illness, neurodevelopmental or trauma-related conditions, personality pathology, sleep or substance-related disorders, and medical disease may represent alternative diagnoses, comorbidities, or modifiers of treatment course. Glutamatergic signaling, impaired plasticity, stress-system dysregulation, inflammation, circadian disturbance, metabolism, and neural circuitry contribute to heterogeneity at the group level but do not define validated individual subtypes. Established pharmacological, psychological, and neuromodulatory interventions should be selected according to diagnosis, severity, urgency, previous response, comorbidity, functional impairment, safety, feasibility, and patient preference. Conclusions: TRD is an operational treatment-history category, not a unitary disease. A personalized medicine approach begins with confirmation of major depressive disorder, adequate treatment exposure and adherence, followed by parallel treatment of depression and clinically relevant comorbidity. Biomarkers should guide allocation only when they provide prospectively validated predictive value beyond high-quality clinical and functional assessment.

Journal of Personalized MedicineVol. 16(9)
Uppsala University (SE), Uppsala University Hospital (SE), University of Perugia (IT), Bay Area Community Resources (US)
Good health and well-being
Openalex Percentile: Top 12%
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.