Peripheral Metabolic-Redox Signaling as a Core Mechanism of Major Depressive Disorder: Evidence From Deep Metabolomic Phenotyping
Maes, M.; Niu, M.; Maes, A.; Luo, Y.; Yangyang, C.; Li, J.; Almulla, A. F.; Zhang, Y.
Show abstract
BackgroundMajor depressive disorder (MDD) is a neuro-immune, oxidative, and nitrosative stress (NIMETOX) disorder, in which peripheral immune-redox pathways intersect with metabolic networks leading to neurotoxicity within the limbic-prefrontal affective circuits. Comprehensive metabolomics analysis in well-phenotyped patients is vital to elucidate their metabolic profile. ObjectivesTo identify metabolic abnormalities that differentiate inpatients with severe MDD from healthy controls through high-resolution, untargeted metabolomics. MethodsSerum samples from 125 MDD inpatients and 40 healthy controls were analyzed utilizing liquid chromatography and mass spectrometry. A meticulously regulated multistage machine learning pipeline with leakage-prevention protocols was employed to analyze differences between MDD and controls and to predict phenome scores. ResultsFeature selection showed that 16 metabolites and 6 functional modules reliably distinguished MDD. The functional profile of the metabolites indicates a convergence of lipotoxicity, phospholipid remodeling, disruptions in fatty acid metabolism, mitochondrial redox imbalance, ether-lipid metabolism, and antioxidant depletion. This MDD metabotype was not affected by metabolic syndrome. A substantial portion of the variance in overall depression severity (72.5%), physiosomatic symptoms (55.8%) and suicidal ideation (23.6%) was accounted for by increased lipitoxicity, phospholipid remodeling, and fatty acid storage/signaling. The recurrence of illness (27.7%) was associated with a self-reinforcing-lipid-redox-inflammatory module that maintains cellular stress. DiscussionThe MDD metabotype represents a cohesive metabolic network that is associated with the NIMETOX pathogenesis of MDD. Metabolomics provides a comprehensive foundation for subtyping and precision psychiatry. Lipoxygenase-15, lipotoxicity, phospholipase A2, and lipid-redox intersections are important drug targets to treat MDD.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Alterations in Acylcarnitines, Amines, and Lipids Inform about Mechanism of Action of Citalopram/Escitalopram in Major Depression 96%
- Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort 95%
- Proteomic insights into mental health status: plasma markers in young adults 94%
Similar papers in this journal
- Metabolic phenotyping reveals a potential link between elevated faecal amino acids, diet and symptom severity in individuals with severe mental illness 95%
- Neuro-transcriptomic signatures for mood disorder morbidity and suicide mortality 94%
- Divergent transcriptomic profiles in depressed individuals with hyper- and hypophagia implicating inflammatory status 94%
Similar papers in this journal
- Acylcarnitine Metabolomic Profiles Inform Clinically-Defined Major Depressive Phenotypes 95%
- Intersections between pneumonia, lowered oxygen saturation percentage and immune activation mediate depression, anxiety and chronic fatigue syndrome-like symptoms due to COVID-19: a nomothetic network approach 94%
- Estradiol Modulates Resting-State Connectivity in Perimenopausal Depression 93%
Similar papers in this journal
- Research and Diagnostic Algorithmic Rules (RADAR) for mood disorders, recurrence of illness, suicidal behaviors, and the patient’s lifetime trajectory 93%
- Lowered oxygen saturation and increased body temperature in acute COVID-19 largely predict chronic fatigue syndrome and affective symptoms due to LONG COVID: a precision nomothetic approach 93%
Similar papers in this journal
- Metabolomic and Inflammatory Signatures of Symptom Dimensions in Major Depression 98%
- Reverse cholesterol transport and lipid peroxidation biomarkers in major depression and bipolar disorder: a systematic review and meta-analysis 96%
- Proteomic evidence of depression-associated astrocytic dysfunction in the human male olfactory bulb 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.