Association between the indole pathway of tryptophan metabolism and subclinical depressive symptoms in obesity: a preliminary study

12partially_openInternationalInternational coauthor/editorConverging data support the role of chronic low-grade inflammation in depressive symptomatology in obesity. One mechanism likely to be involved relies on the effects of inflammation on tryptophan (TRP) metabolism. While recent data document alterations in the indole pathway of TRP metabolism in obesity, the relevance of this mechanism to obesity-related depressive symptoms has not been investigated. The aim of this preliminary study was to assess the association between plasma levels of TRP and indole metabolites and depressive symptoms in 44 subjects with severe or morbid obesity, free of clinically relevant neuropsychiatric disorders. The interaction effect of inflammation, reflected in serum high-sensitive C-reactive protein (hsCRP) levels, and indoles on depressive symptoms was also determined. Higher serum levels of hsCRP and lower concentrations of TRP and indoles, particularly indole-3-carboxaldehyde (IAld), correlated with more severe depressive symptoms. Interestingly, the effect of high hsCRP levels in predicting greater depressive symptoms was potentiated by low IAld levels. These results comfort the link between inflammation, the indole pathway of TRP metabolism, and obesity-related depressive symptomsmixedDelgado, Inês; Cussotto, Sofia; Anesi, Andrea; Dexpert, Sandra; Aubert, Agnès; Aouizerate, Bruno; Beau, Cédric; Forestier, Damien; Ledaguenel, Patrick; Magne, Eric; Mattivi, Fulvio; Capuron, LucileDelgado, I.; Cussotto, S.; Anesi, A.; Dexpert, S.; Aubert, A.; Aouizerate, B.; Beau, C.; Forestier, D.; Ledaguenel, P.; Magne, E.; Mattivi, F.; Capuron, L

Transcriptomic signaling pathways involved in a naturalistic model of inflammation-related depression and its remission

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 NF kappa B (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

Relationship between body mass index and neuropsychiatric symptoms: Evidence and inflammatory correlates

Objective : Neuropsychiatric symptoms are frequent in obese individuals. Mounting evidence suggests that adiposity-related inflammation contributes to this effect. This study assessed the relationship between adiposity, neuropsychiatric symptom dimensions and systemic inflammation in subjects stratified by body-mass-index (BMI). Methods : The study included 165 subjects, of whom 70 were very severely obese (BMI ≥ 40 kg/m2), 50 severely obese (BMI: 35–39.99 kg/m2), 21 overweight or moderately obese (BMI: 25–34.9 kg/m2), and 24 lean (BMI < 25 kg/m2). Depressive symptoms were assessed using the Montgomery-Asberg Depression Rating Scale (MADRS) and the Mini-International Neuropsychiatric Interview (MINI). Fatigue and general neurobehavioral symptoms were assessed using the Multidimensional Fatigue Inventory (MFI) and Neurotoxicity Rating Scale (NRS) respectively. Serum levels of the inflammatory markers, high-sensitive (hs) CRP and hsIL-6, were determined by ELISA. Results : Severely obese subjects exhibited higher MADRS, MFI and NRS scores and were more frequently afflicted with current diagnosis of major depression than lean participants. Scores on psychometric scales were also increased in very severely obese subjects, although to a lesser extent. Alterations in neuropsychiatric dimensions were highly inter-related. HsCRP was significantly increased in subjects with severe or very severe obesity, while hsIL-6 was augmented in all obese groups. Overall, increased neuropsychiatric comorbidity was associated with greater systemic inflammation, notably hsCRP. Conclusion : Obesity is characterized by an increased prevalence of inter-related neuropsychiatric symptoms together with low-grade systemic inflammation augmenting with adiposity. The association between adiposity, systemic inflammation and neuropsychiatric alterations supports the contribution of adiposity-related inflammatory processes to neuropsychiatric comorbidities in obesity. These data suggest that consideration of adiposity characteristics may help identifying subjects at increased risk for neuropsychiatric comorbidity.Rôle de l'Inflammation dans la Symptomatologie Neuropsychiatrique chez le Sujet Obès

Tryptophan metabolic pathways are altered in obesity and are associated with systemic inflammation

Background: Obesity is a condition with a complex pathophysiology characterized by both chronic low-grade inflammation and changes in the gut microbial ecosystem. These alterations can affect the metabolism of tryptophan (TRP), an essential amino acid and precursor of serotonin (5-HT), kynurenine (KYN), and indoles. This study aimed to investigate alterations in KYN and microbiota-mediated indole routes of TRP metabolism in obese subjects relatively to non-obese controls and to determine their relationship with systemic inflammation. Methods: Eighty-five obese adults (avg. BMI = 40.48) and 42 non-obese control individuals (avg. BMI = 24.03) were recruited. Plasma levels of TRP catabolites were assessed using Ultra High Performance Liquid Chromatography-ElectroSpray-Ionization-Tandem Mass Spectrometry. High-sensitive C-reactive protein (hsCRP) and high-sensitive interleukin 6 (hsIL-6) were measured in the serum as markers of systemic inflammation using enzyme-linked immunosorbent assay. Results: Both KYN and microbiota-mediated indole routes of TRP metabolism were altered in obese subjects, as reflected in higher KYN/TRP ratio and lower 5-HT and indoles levels, relatively to non-obese controls. HsIL-6 and hsCRP were increased in obesity and were overall associated with TRP metabolic pathways alterations. Conclusion: These results indicate for the first time that KYN and indole TRP metabolic pathways are concomitantly altered in obese subjects and highlight their respective associations with obesity-related systemic inflammation.A Menu for Brain Responses Opposing Stress-Induced Alterations in CognitionMetabolic HEALTH through nutrition, microbiota and tryptophan bioMARKer

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements