ANTI-COMPULSIVE ACTION OF ESCITALOPRAM IN DEER MICE PARALLELS DECREASED PLASMA LIPOPOLYSACCHARIDE AND INCREASED FRONTAL-CORTICAL AND STRIATAL TRYPTOPHAN, BUT NOT SEROTONIN CONCENTRATIONS
Notice bibliographique
Résumé
Abstract Background Obsessive-compulsive disorder (OCD) is associated with cortico-striatal hyperactivation which is likely promulgated by hyposerotonergia. Selective serotonin reuptake inhibitors (SSRIs), e.g., escitalopram (ESC), are the first line pharmacotherapy for OCD, but treatment resistance remains a clinical dilemma. In fact, the mechanism of action of SSRIs in OCD remains unclear. Serotonin must be synthesised from dietary absorbed tryptophan (TRP) and reduced TRP availability may thus impact central serotonin concentrations. Systemic inflammation promotes TRP breakdown via the kynurenine, instead of the serotonin pathway. Lipopolysaccharide (LPS) is an inflammatory endotoxin that is associated with gut microbiota dysbiosis and compromised gut wall integrity. Considering the suboptimal response of OCD to current serotonergic therapies, as well as the paucity of data highlighting TRP and serotonin related gut-immune-brain interactions in OCD, continued investigation is needed. For this, pre- clinical animal model systems, are useful. Subpopulations of deer mice (Peromyscus maniculatus bairdii) that are housed in captivity spontaneously develop compulsive-like behaviours, e.g., persistent large nesting behaviour (LNB). We have previously shown LNB to associate with gut microbiota perturbations, compared to normal (NNB) behavioural controls (5). Since the neurobiological underpinnings of LNB have not yet been elucidated, we explored the potential associations between LNB, plasma LPS and central TRP and serotonin concentrations, before and after chronic exposure to ESC. Aims and Objectives The aim of this work was to investigate the potential associations between LNB, plasma LPS, and frontal cortical and striatal TRP and serotonin concentrations, before and after chronic exposure to ESC. In so doing, we also aimed to shed light on the anti-compulsive mechanism of action of ESC in this model. Methods Twenty-four (24) NNB and 24 LNB expressing mice were used (age 12 weeks; total n = 48; equal distribution between sexes, Ethical Approval Nr. NWU-00523-20-A5). Twelve (12) animals of each cohort were exposed to either normal water or escitalopram (50 mg/kg/day) for 28-days, with nesting expression analysed before and after said exposure. After the last nesting assessment, mice were euthanised and the trunk blood, frontal cortices and striata collected. LPS concentrations were determined in plasma by means of ELISA, while brain tissues were analysed for TRP and serotonin via LC/MS. Results We show that LNB, compared to NNB, associates with reduced frontal-cortical, but not striatal TRP and serotonin concentrations (p <0.01 for both) and that ESC significantly attenuates the expression of LNB, without affecting NNB (p <0.01). Importantly, the anti-compulsive action of ESC was associated with significantly increased frontal cortical and striatal TRP (p <0.05 for both), but not serotonin concentrations which paralleled a robust reduction in plasma LPS (p <0.001). Discussion We show that the anti-compulsive action of ESC in deer mice associates with TRP-specific, but not serotonergic mechanisms, which are likely related to its modulation of gut-microbiota associated systemic inflammation. The present data contribute to our understanding of LNB in deer mice and extend the current knowledge of how SSRIs may elicit their therapeutic actions by modulating gut-immune-brain interaction.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».