Early life trauma is associated with decreased peripheral levels of thyroid‐hormone T3 in adolescents
Bibliographic record
Abstract
An adverse early life environment can induce changes on behavioral and metabolic responses later in life. Recent studies in rats showed that the quality of maternal care as measured by high levels of pup licking and grooming (LG) was associated with changes in the relationship between the precursor thyroid-hormone T4 and the more active T3. Here we investigated if early exposure to childhood abuse is associated with thyroid-hormone levels in human adolescents. Given the empirical evidence from animal models showing that good maternal care was associated with increased conversion of T4 to T3, we hypothesized that early adversity would be associated with a decreased peripheral conversion of T4 to T3. A sample of 80 adolescents (10-18 years) participated in this study. We used the Childhood Trauma Questionnaire to investigate early life stress. We calculate the body mass index (BMI) assessing weight and height and sexual maturation stage was determined by self-assessment. Blood samples were collected to measure T3 and T4 levels. ANCOVA were used to evaluate the influence of the Physical Abuse domain of the Childhood Trauma Questionnaire as the early life stress variable in T3 and T4 separately, adjusted for potential confounders such as pubertal status, gender, socioeconomic status and BMI. Early life trauma was associated with reduced T3 levels in adolescents, when adjusted for potential confounders (p=0.013), but not with peripheral T4 levels (p=0.625). We extended findings from animal models showing that adverse early experience persistently impacts on the individual's responses to stress, which is marked by an abnormal metabolism of thyroid hormones. Further studies are needed to further investigate the nature of such associations.
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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".