Metabolomic Profiling of Extracellular Vesicles Reveals Distinct Metabolic Dysregulation and Treatment-Specific Signatures in Depression
Year: 2026
Type: article
Abstract: Major depressive disorder (MDD) is associated with complex metabolic alterations. In this study, we applied a multiplatform metabolomics approach (GC-MS and LC-MS) to characterize the plasma extracellular vesicle (EV) metabolome in healthy controls (N = 50), responsive MDD patients (N = 60), and patients with treatment-resistant depression (TRD; N = 65). Longitudinal analyses were performed following 8-week treatment with duloxetine (N = 30), bright-light therapy (BLT; N = 30), or esketamine (N = 35). A total of 230 metabolites were identified, with the most pronounced metabolic alterations observed in TRD patients, particularly in lipid, amino acid, and energy metabolism pathways. Elevated lysophospholipids and fatty acids in TRD suggested dysregulated lipid metabolism and inflammatory processes. All treatments resulted in clinical improvement, accompanied by partial normalization of metabolic profiles. Duloxetine treatment was associated with modulation of amino acid and glycerophospholipid metabolism, including increases in tryptophan-related metabolites and normalization of specific lipid species. BLT primarily reduced lysophospholipids and mannose levels, while esketamine modulated metabolites related to lipid turnover, short-chain fatty acids, carbohydrate metabolism, and neuroendocrine function, including increased thyrotropin-releasing hormone levels. These findings support the concept that TRD represents a biologically distinct and more metabolically dysregulated subtype of depression and highlight EV-based metabolomics as a promising approach for elucidating disease and treatment mechanisms.
Source: Biomolecules
DOI: 10.3390/biom16040533
Authors: Nikola Balic, Gordana Nedic Erjavec, Marcela Konjevod, Jorge Saiz, Tina Curkovic, Lucija Tudor, Dubravka Svob Strac, Alja Videtic Paska, Julija Smon, Magda Tusek-Znidaric, Marina Sagud, Bjanka Vuksan Cusa, Tea Fabijanic, Zrinka Pesut, Biljana Kosanovic Rajacic, Zoran Bradas, Nela Pivac, Matea Nikolac Perkovic
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,258
Awards: Circulating Extracellular Vesicles as Predictors of Antidepressant Response: Monitoring the Mechanism of Novel Therapeutic Approaches in Depression, Circulating Extracellular Vesicles as Predictors of Antidepressant Response: Monitoring the Mechanism of Novel Therapeutic Approaches in Depression, Functional Genomics and Biotechnology for Health
OpenAlex ID: W7148582501
