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Michael Maes

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Aug 2026

Psychological stress-associated ceramide and diacylglyceride lipotoxicity as contributors to first-episode depression pathophysiology: A neuroimmune-metabolic-oxidative stress (NIMETOX) perspective.

BACKGROUND Aberrations in neuro-immune, metabolic, and oxidative stress (NIMETOX) pathways are implicated in major depressive disorder (MDD). First-episode simple dysmood disorder (FE-SDMD) without metabolic syndrome offers a unique model to investigate early lipid alterations using a systems biology approach. METHODS Plasma samples were collected from 88 university students (44 FE-SDMD, 44 healthy controls). Participants underwent psychiatric assessments, including adverse childhood experiences (ACEs), negative life events (NLEs), depression, anxiety, suicidal behaviors, and insomnia. Untargeted lipid profiling was performed using LC-QTOF-MS, while indices of oxidative and nitrosative stress (ONS) and lecithin-cholesterol acyltransferase (LCAT) activity were assessed. Data was analyzed using machine learning approaches with recursive feature elimination and cross-validation. RESULTS FE-SDMD was characterized by increased ceramides (CER), diacylglycerides (DAG), triacylglycerides (TG), sphingomyelins (SM), bis-monoacylglycerol phosphates (BMP), cholestone, and fatty-acyl amino acids (FAAA). DAG, CER, and BMP were the strongest predictors of depression severity and physiosomatic symptoms, whereas cholestone, CER, and SM predicted suicidal behaviors. These lipid modules, together with lowered LCAT and increased ONS, explained substantial variance in depression severity (46.4%), physiosomatic symptoms (42.4%), cognitive-affective symptoms (37.9%), suicidal behaviors (30.1%), insomnia (32%), and anxiety (19.5%). ACEs and NLEs were strongly associated with CER (p < 0.001), DAG (p < 0.01), and cholestone (p < 0.01), revealing coordinated lipidomic networks within a systems biology framework. CONCLUSION Early-stage MDD is characterized by lipid dysregulations, which are linked to psychosocial stress exposure, oxidative stress and attenuated reverse cholesterol transport. These lipid modules identify biologically functional pathways associated with early disease and may inform the development of future therapeutic strategies.

V. Sirivatanapa, Pannipa Janta, A. Almulla et al. · 0 citations
Review Open access Jul 2026

Unifying the hallmarks of major depression through neuroimmune–metabolic–oxidative (NIMETOX) dysregulation: a mechanistic systems framework

Current state-of-the-art neuroimmune, metabolic, and oxidative stress (NIMETOX) knowledge that has been developed in clinical major depressive disorder (MDD) research over the past three decades is explored in this review. Between 1990 and 2000, the acute phase of severe MDD was characterized by the activation of T helper (Th)1 cells and M1 macrophages, leading to immune dysregulation that affects nutritional immunity and alters protein, tryptophan, iron, and lipid metabolism. The latter comprises lower high-density lipoprotein cholesterol, reverse cholesterol transport (RCT), ω3 polyunsaturated fatty acids, heightened lipid peroxidation and atherogenicity. Additionally, immune alterations regulate stress-responsive systems and modify the biological basis of depressive symptoms through neurotoxic effects and reduced neuroprotection. The incremental information acquired from 2000 to 2026 revealed that the acute phase of severe MDD is characterized by immune sensitization, imbalances between the compensatory immunoregulatory system (CIRS) and the immune-inflammatory response system (IRS) and that there are multiple interactions between increased atherogenicity, metabolic syndrome, oxidative stress, and lower antioxidant activity and RCT. Additionally, the NIMETOX pathway may be fuelled by increased expression of TLR4 and NF-κB intracellular signaling driven by increased lipopolysaccharides, lipids, and oxidatively modified epitopes. This paper presents evidence that peripheral NIMETOX pathways may lead to neuroinflammation, microglial activation, and neuronal damage and that increased lipid load impairs these central pathways. This paper assesses the field’s future advancements by conducting a comprehensive examination of the reviewed knowledge base, deep phenotyping, panomics methodologies, and machine learning techniques, including the nomothetic precision approach.

Michael Maes, A. Almulla, D. Stoyanov et al. · 0 citations