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
Bibliographic record
Abstract
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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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".