Growth-promoting hormonal alterations in pregnant women living with HIV receiving dolutegravir-based antiretroviral treatment are associated with lower infant 1-year weight z-scores
Bibliographic record
Abstract
Background Several maternal hormones regulate fetal growth, but concentrations of these hormones in pregnancy among women living with HIV and associations between hormone levels and infant anthropometrics is limited. Methods Pregnant women with HIV receiving dolutegravir/tenofovir/emtricitabine and HIV-seronegative women and their infants prospectively enrolled in the Botswana-based Tshilo Dikotla study were included in this analysis. Estradiol, sex-hormone binding globulin (SHBG), progesterone, cortisol, pituitary growth hormone-1 (GH1), insulin-like growth factor-1 (IGF-1), and insulin-like growth factor binding protein-1 (IGFBP-1) concentrations were measured in maternal plasma collected between 24 and 29 weeks’ gestation. Bioavailable estradiol was derived using estradiol and SHBG concentrations. Generalized linear models were fit to evaluate associations between HIV status and each maternal hormone. Similar models were fit to assess effect modification by HIV status on the relationship between each maternal hormone and infant anthropometrics at birth and 1-year of age. Results Maternal plasma specimens were available from 114 women (46 with HIV). Women with HIV had lower mean log bioavailable estradiol (β: −0.22, p = 0.031), cortisol (β: −0.22, p = 0.001), and IGF-1 (β: −0.81, p = 0.007), but higher GH1 (β: 0.91, p = 0.007) than women without HIV. Infant HIV-exposure status modified associations of log GH1 (β: −0.21, p = 0.05) and log IGF-1 (β: 0.40, p = 0.004) with infant 1-year weight-for-age z-score (WAZ), adjusting for maternal age, BMI, exclusive breastfeeding duration, and birth WAZ. Among infants who were HIV exposed uninfected, lower GH1 and higher IGF1 levels were associated with higher WAZ at 1 year of age. These associations were not observed in HIV-unexposed infants. Conclusion Associations between maternal growth-promoting hormones and infant weight at 1 year of life differ significantly by maternal HIV status, reflecting potential perturbations in the maternal-fetal-infant growth axis among pregnant women with HIV. Additional research is needed to identify mechanisms and possible interventions.
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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".