SUN-722 Liver Leptin Receptor Gene Network Moderates the Effects of Early Life Adversity on Anxiety and Depression Problems in Children and Adolescents
Bibliographic record
Abstract
Abstract Leptin is a hormone involved in the regulation of food intake, with receptors largely expressed centrally and peripherally, in structures like the hypothalamus and the liver. Beyond its well-known actions as an energy-balance regulator, leptin is linked to psychiatric disorders. Considering that the association between genetic and early environmental factors contributes to psychopathology, disruptions of leptin signaling could be a key mechanism in this interaction. To investigate this possibility, we created an expression-based polygenic risk score (ePRS) reflecting variations in the function of the LepR gene network in the liver and hypothalamus, and investigated its interaction with postnatal adversity on Child Behavior Checklist in 4 years old children (main cohort: MAVAN, N=137) and 17 years old teenagers (Replication Cohort: ALSPAC, N=2630). There is an interaction effect between adversity exposure and liver-based LepR-ePRS, increasing depressive and anxiety problems on the MAVAN cohort (β=78.16, p=0.02, β=83.77, p=0.01). In ALSPAC, the results were replicated, showing an interaction between adversity exposure and liver-based LepR-ePRS, increasing the depression score and somatic symptoms (β=24.65, p=0.005; β=33.51, p=0.009). No significant interactions were found using the hypothalamus-based LepR-ePRS (p>0.05), suggesting specificity for the liver LepR gene network to predict these behavioral outcomes. A parallel-independent component analysis showed relationships between the SNPs from the liver ePRS-LepR and gray matter density in cortical areas involved in emotion regulation (middle frontal gyrus, inferior parietal lobule and anterior cingulate). Finally, the relationship between gene and MRI components in this analysis is moderated by the history of early life adversity exposure. Enrichment analysis of the liver LepR co-expression network shows that these genes are related to biological processes including regulation of glucose transport, cholesterol metabolism and cellular glucose homeostasis, which indicates possible underlying mechanisms linking peripheral metabolism-related gene expression and the development of emotional symptoms. Our data supports the hypothesis that exposure to early adversity affects emotional behavior, and the liver LepR gene network is an important moderator of these effects. Further studies on development of emotional symptoms should consider metabolic markers to understand these complex phenotypes.
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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 | 0.000 | 0.000 |
| 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) | 0.003 | 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".