MON-722 Cross-Species Glucocorticoid-Sensitive Posterior Dentate Gyrus Gene Network: Developing a Polygenic Score Associated to Susceptibility to Depression After Early Life Adversity Exposure in Humans
Notice bibliographique
Résumé
Abstract Exposure to stress during the life-course has consistently been associated with neuropsychological disorders, but the precise role of stress released glucocorticoids remains unclear in this context. We aimed at using hippocampal gene expression data from macaques to identify clusters of genes sensible to glucocorticoid exposure and create a biologically relevant polygenic score to investigate emotional disorders in a child and adult humans exposed to early adversity. RNA-sequencing data from the posterior dentate gyrus (pDG) of adult Macaca fascicularis females treated with Betamethasone (glucocorticoid) or saline injections for 8 consecutive days were analyzed from two cohorts: Singapore (reference) and Vietnam (replication) with N=12/each. Weighted gene co-expression network analysis (WGCNA) was used to identify clusters (modules) of co-expressed genes associated with betamethasone. In Singaporean animals, genes were clustered in 52 modules, in which 5 were associated with betamethasone. Two modules were preserved in a replication dataset (Vietnam) and in data from female rats treated with corticosterone for 6 weeks, being the black module (557 genes, P=0.01, r=0.7) the one having the highest correlation with glucocorticoid exposure. Gene ontology analysis (FDR<0.05, Metacore®) revealed that this module is associated with transcription processes. The SNPs derived from genes within the module were used to calculate an expression-based polygenic risk score (ePRS) in the human samples, weighing each SNP by the slope of the association between genotype and gene expression (GTex). Linear regression analysis showed a significant interaction between ePRS and early adversity on the Dominique - major depressive disorder domain (β=1304; P=0.003; N=65) in girls aged 6 years (MAVAN), in which a higher ePRS was associated with more symptoms as the adversity scores increases (simple slope analysis,P=0.004). A comparable interaction between the ePRS and postnatal adversity was also observed in adult women (UK Biobank), in which there was an increased risk for early depression onset (β= -424.3, P=0.04; N=13899). In the adult cohort, whole brain gray matter volume was also associated with differences in the expression of the genes that composed the ePRS-black network (main ePRS effect, β=1865776, P=0.03, N=10902). Glucocorticoid exposure affects a specific group of genes in pDG of adult female macaques and rats, influencing transcriptional processes. Variations in the expression of this gene network sensible to glucocorticoids were associated with susceptibility for the development of depression in girls and adult women exposed to early life adversity. These show the importance of glucocorticoids on the development of depressive symptoms. The gene network affected by glucocorticoids can guide future pharmacological or mechanistic studies in other samples or species.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».