Targeted Rejection Triggers Differential Pro- and Anti-Inflammatory Gene Expression in Adolescents as a Function of Social Status
Bibliographic record
Abstract
Social difficulties during adolescence influence life-span health. To elucidate underlying mechanisms, we examined whether a noxious social event, targeted rejection (TR), influences the signaling pathways that regulate inflammation, which is implicated in a number of health problems. For this study, 147 adolescent women at risk for developing a first episode of major depression were interviewed every 6 months for 2.5 years to assess recent TR exposure, and blood was drawn to quantify leukocyte messenger RNA (mRNA) for nuclear factor-κB (NF-κB) and inhibitor of κB (I-κB) and the inflammatory biomarkers C-reactive protein and interleukin-6. Participants had more NF-κB and I-κB mRNA at visits when TR had occurred. These shifts in inflammatory signaling were most pronounced for adolescents high in perceived social status. These findings demonstrate that social rejection upregulates inflammatory gene expression in youth at risk for depression, particularly for those high in status. If sustained, this heightened inflammatory signaling could have implications for life-span health.
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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) | 0.001 | 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".