Placental mitochondria in high-altitude pregnancy: metabolic adaptations and a toolkit for respiratory assessment
Bibliographic record
Abstract
) remains low and tissue hypoxia persists, posing a challenge for metabolic and redox homeostasis, and therefore function. The physiological challenge of life at high altitude is well exemplified by human pregnancy. Infant birthweight falls at high altitude, and there is a greater incidence of pregnancy complications, such as preeclampsia and fetal growth restriction; however, relative protection is seen in Tibetan and Andean populations. There is evidence to implicate a role for placental metabolic reprogramming and mitochondrial alterations in this context, while metabolic adaptations likely contribute to an integrated response that supports healthy pregnancies in highlander populations at altitude. Here, we outline the evidence to support a role for placental mitochondria in healthy and pathological pregnancies at high altitude. We propose that a better understanding of placental metabolic responses to tissue hypoxia would have important implications both for pregnancies at high altitude and in complicated pregnancies more generally, and we outline technical developments that allow the comprehensive assessment of placental mitochondrial respiration in an integrated, physiologically relevant context.This article is part of the discussion meeting issue 'Pregnancy at high altitude: the challenge of hypoxia'.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".