ArticleThe international journal of neuropsychopharmacology2023
Erythrocyte Membrane Fatty Acid Composition as a Potential Biomarker for Depression.
Article in The international journal of neuropsychopharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 10 citations in OpenAlex.
- N-3 PUFA supplementation alleviates anxiety symptoms by manipulating erythrocyte fatty acid levels in depression.European journal of nutrition · 2024Trial
- Blood Fatty Acid Profile as a Predictor of Antidepressant Efficacy-A Prospective Cohort Pilot Study Protocol.Journal of clinical medicine · 2026Article
- Article
- Insights into the interplay between stroke and depression through lipid metabolism-related diagnostic genes.Molecular brain · 2026Article
- Untargeted metabolomics revealed that quercetin improves rat renal metabolic disorders induced by chronic unpredictable mild stress.Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
- Childhood insulin resistance and neural stem cell dysfunction in psychiatric disorders: Role ofWorld journal of stem cells · 2025Review
- Depression in Diarrhea-Predominant IBS Patients: Exploring the Link Between Gut Barrier Dysfunction and Erythrocyte Polyunsaturated Fatty Acid Levels.Journal of clinical medicine · 2025Article
- Adrenic acid: A promising biomarker and therapeutic target (Review).International journal of molecular medicine · 2025Review
- The role of fatty acids in the emotional well-being of young adults: associations between fatty acid levels and symptoms of depression, anxiety, stress, and sleep disturbances.Postepy psychiatrii neurologii · 2024Article
- Metabolic complications of psychotropic medications in psychiatric disorders: Emerging role ofWorld journal of psychiatry · 2024Review
- Association between plasma polyunsaturated fatty acids and depressive among US adults.Frontiers in nutrition · 2024Article
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundMajor depressive disorders is a chronic and severe psychiatric disorder with poor prognosis and quality of life. Abnormal erythrocyte fatty acid (FA) composition in depressed patients were found in our previous study, but the relationship between erythrocyte membrane FA levels and different severity of depressive and anxiety symptoms remains to be explored.
methodsThis cross-sectional study included 139 patients with first-diagnosed, drug-naïve depression and 55 healthy controls whose erythrocyte FA composition was analyzed. Patients with depression were divided into severe depression and mild to moderate depression or depression with severe anxiety and mild to moderate anxiety. Then the differences of FA levels among different groups were analyzed. Finally, the receiver operating characteristic curve analysis was applied to identify potential biomarkers in distinguishing the severity of depressive symptoms.
resultsLevels of erythrocyte membrane FAs were elevated among patients with severe depression compared with healthy controls or patients with mild to moderate depression of almost all kinds. While C18:1n9t (elaidic acid), C20:3n6 (eicosatrienoic acid), C20:4n6 (arachidonic acid), C22:5n3 (docosapentaenoic acid), total fatty acids (FAs), and total monounsaturated FAs were elevated in patients with severe anxiety compared with patients with mild to moderate anxiety. Furthermore, the level of arachidonic acid, C22:4n6 (docosatetraenoic acid), elaidic acid, and the combination of all 3 were associated with the severity of depressive symptoms.
conclusionsThe results suggested that erythrocyte membrane FA levels have the potential to be the biological indicator of clinical characteristics for depression, such as depressive symptoms and anxiety. In the future, more research is needed to explore the causal association between FA metabolism and depression.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.