ArticlePsychological medicine2023
A network analysis of depressive symptoms and metabolomics.
Article in Psychological medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed, 18 citations in OpenAlex.
- External factors show reproducible local symptom-biomarker associations in middle-aged and older adults with heart disease.Frontiers in psychiatry · 2026Article
- Symptom clusters and core symptoms in early postoperative esophageal cancer patients.Frontiers in gastroenterology (Lausanne, Switzerland) · 2026Article
- Towards precision psychiatry: Metabolomics identifies three biological subtypes of depression.PLOS digital health · 2025Article
- A multilayer network analysis of cardiovascular-depression comorbidity reveals symptom-specific molecular biomarkers.Psychological medicine · 2025Article
- Morbidity-bridging metabolic pathways: linking early cardiovascular disease risk and depression symptoms using a multi-modal approach.European heart journal open · 2025Article
- Major Depression as a Catalyst for Nonalcoholic Fatty Liver Disease: Insights From a Comprehensive Mendelian Randomization Study.Canadian journal of gastroenterology & hepatology · 2025Article
- Gut-kidney-brain axis and daytime sleepiness in Parkinson's disease and chronic kidney disease: an expert narrative review.Frontiers in aging neuroscience · 2025Review
- Prevalence and factors associated with dyslipidemia in patients with first hospitalization for major depressive disorder: a large sample cross-sectional study.BMC psychiatry · 2024Article
- Recent Progress in Mass Spectrometry-Based Metabolomics in Major Depressive Disorder Research.Molecules (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDepression is associated with metabolic alterations including lipid dysregulation, whereby associations may vary across individual symptoms. Evaluating these associations using a network perspective yields a more complete insight than single outcome-single predictor models.
methodsWe used data from the Netherlands Study of Depression and Anxiety (
resultsThe network yielded 28 symptom-metabolite associations. There were 15 highly-central variables (8 symptoms, 7 metabolites), and 3 stable links involving the symptoms Low energy (fatigue), and Hypersomnia. Specifically, fatigue showed consistent associations with higher mean diameter for VLDL particles and lower estimated degree of (fatty acid) unsaturation. These remained present after adjustment for lifestyle and health-related factors and using another data wave.
conclusionsThe somatic symptoms Fatigue and Hypersomnia and cholesterol and fatty acid measures showed central, stable, and consistent relationships in our network. The present analyses showed how metabolic alterations are more consistently linked to specific symptom profiles.
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