Placental Apoptosis in Small for Gestational Age Babies: A Comparison between Swedish and Pakistani Populations
Bibliographic record
Abstract
Background: Foeto-placental growth is regulated by a complex balance of growth promoting and growth inhibiting factors and hormones, namely the insulin-like growth factors (IGF) and the intracellular caspase proteins. Changes in the IGF-axis appear to affect this balance, with deficiencies possibly triggering apoptosis. Aim: To ascertain levels of apoptosis in the placenta of infants born small for gestational age (SGA) and appropriate for gestational age (AGA), comparing samples from two population groups, Pakistani and Swedish, in an attempt to better understand the mechanism behind foetal-placental growth restriction. Methods: Placental samples were taken immediately following delivery in both Karachi and Stockholm. In total 36 samples were included for further analysis (Pakistani: SGA n = 12, AGA n = 12; Swedish: SGA n = 7, AGA n = 5). Protein extraction was conducted for cell-death ELISA, and the remaining tissue samples were then paraffin embedded for further immunohistochemical and immunoflourescent analysis, looking at the apoptotic proteins, p53, caspase 8, and caspase 3. Furthermore, we compared maternal and newborn anthropometry between populations. Results: A higher apoptotic index, for caspase 8 and caspase 3, was seen in the Pakistani samples, as compared to the Swedish samples (p<0.01). TUNEL assays showed higher levels of apoptosis in the Pakistani population as compared to the Swedish population (p<0.01). Cell death ELISA analysis showed greater apoptotic activity in placenta from the Pakistani population as compared to the Swedish groups (p<0.05) as well as increased apoptotic activity in the SGA groups as compared to the AGA groups within each population (ELISA, p<0.05). No differences were seen in p53 levels as assessed by immunohistochemistry. Pakistani mothers were, on average, shorter than their Swedish counterparts (p<0.01). Conclusion: Increased apoptotic activity in placenta of the Pakistani population, as compared to their Swedish counterparts, may be associated with decreased foetal-placental growth seen in this population, particularly in babies born SGA. These findings, along with previously published results of the IGF-axis, and birth weight outcomes, suggests that lower IGF levels may be involved in the extracellular triggering of apoptosis, through caspase 8. This may further suggest a possible mechanism of foetal-placental growth restriction.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".