ArticleTranslational psychiatry2021
Transcriptomic signaling pathways involved in a naturalistic model of inflammation-related depression and its remission.
Article in Translational psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 21 citations in OpenAlex.
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- The Relationship Between Trace Elements and Depression.Nutrients · 2026Review
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- Peripheral blood transcriptomic differences predict depression status in individuals undergoing bariatric surgery.Brain, behavior, & immunity - health · 2025Article
- Nuclear factor kappa-B cell (NF-κB), interferon regulatory Factor, and glucocorticoid receptor pathway activation in major depressive Disorder: The role of cytomegalovirus infection.Brain, behavior, and immunity · 2025Article
- Anti-depression molecular mechanism elucidation of the phytochemicals in edible flower ofFood science & nutrition · 2024Article
- A network pharmacology and molecular docking approach to reveal the mechanism of Chaihu Anxin Capsule in depression.Frontiers in endocrinology · 2023Article
- Mangiferin Alleviates Postpartum Depression-Like Behaviors by Inhibiting MAPK Signaling in Microglia.Frontiers in pharmacology · 2022Article
- Discovery of Biomarkers and Potential Mechanisms of Agarwood Incense Smoke Intervention by Untargeted Metabolomics and Network Pharmacology.Drug design, development and therapy · 2022Article
- Gene expression profiling in peripheral blood lymphocytes for major depression: preliminary cues from Chinese discordant sib-pair study.Translational psychiatry · 2021Article
- Bioinformatics and Network Pharmacology-Based Approaches to Explore the Potential Mechanism of the Antidepressant Effect of Cyperi Rhizoma through Soothing the Liver.Evidence-based complementary and alternative medicine : eCAM · 2021Article
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
This study aimed at identifying molecular biomarkers of inflammation-related depression in order to improve diagnosis and treatment. For this, we performed whole-genome expression profiling from peripheral blood in a naturalistic model of inflammation-associated major depressive disorder (MDD) represented by comorbid depression in obese patients. We took advantage of the marked reduction of depressive symptoms and inflammation following bariatric surgery to test the robustness of the identified biomarkers. Depression was assessed during a clinical interview using Mini-International Neuropsychiatric Interview and the 10-item, clinician-administered, Montgomery-Asberg Depression Rating Scale. From a cohort of 100 massively obese patients, we selected 33 of them for transcriptomic analysis. Twenty-four of them were again analyzed 4-12 months after bariatric surgery. We conducted differential gene expression analyses before and after surgery in unmedicated MDD and non-depressed obese subjects. We found that TP53 (Tumor Protein 53), GR (Glucocorticoid Receptor), and NFκB (Nuclear Factor kappa B) pathways were the most discriminating pathways associated with inflammation-related MDD. These signaling pathways were processed in composite z-scores of gene expression that were used as biomarkers in regression analyses. Results showed that these transcriptomic biomarkers highly predicted depressive symptom intensity at baseline and their remission after bariatric surgery. While inflammation was present in all patients, GR signaling over-activation was found only in depressed ones where it may further increase inflammatory and apoptosis pathways. In conclusion, using an original model of inflammation-related depression and its remission without antidepressants, we provide molecular predictors of inflammation-related MDD and new insights in the molecular pathways involved.
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