Levels of antibodies against cytomegalovirus and <i>Chlamydophila pneumoniae</i> are increased in early onset pre‐eclampsia
Bibliographic record
Abstract
OBJECTIVE: The origins of pre-eclampsia/eclampsia lie in a mismatch between feto-placental demands and utero-placental supply, a situation that also arises in normotensive intrauterine growth restriction (IUGR). Could reactivated chronic infection be both a trigger for these differential maternal responses to the same underlying pathology and a link between pre-eclampsia and its attendant lifelong risks of atherosclerosis? DESIGN: Nested case-control study. SETTING: Tertiary obstetric centre. POPULATION: Cases of pre-eclampsia, normotensive IUGR and controls. METHODS: A nested case-control study of serum from a population-based bank was performed. Seroprevalence and levels of anti-cytomegalovirus (CMV) and Chlamydophila pneumoniae immunoglobulin G (IgG) were compared (non-parametrically) between women with early onset pre-eclampsia (<34 weeks of gestation, n = 9), late onset pre-eclampsia (> or =34 + 0 weeks of gestation, n = 29), normotensive IUGR (birthweight less than third centile, n = 33) and matched normal pregnancy (n = 113, up to 2 per case). RESULTS: There was a significant difference in both anti-CMV and Chl. pneumoniae antibodies between groups (Kruskal-Wallis test, P < 0.05). Women with early onset pre-eclampsia had higher anti-CMV levels (median: 79, 95% confidence interval [95% CI] = 47, 164) than women with late onset pre-eclampsia (26 [95% CI = 22, 82], P < 0.05), normotensive IUGR (40 [95% CI = 31, 72], P < 0.05) and normal pregnancy (49 [95% CI = 45, 70], P < 0.05). Women with normotensive IUGR had significantly lower anti-Chl. pneumoniae antibodies (0.10 [95% CI = 0.08, 0.38]) than did normal pregnancy controls (0.21 [95% CI = 0.20, 0.28], P <0.05). CONCLUSIONS: The anti-CMV and anti-Chl. pneumoniae antibodies were higher in early onset pre-eclampsia than in late onset pre-eclampsia, normotensive IUGR and normal pregnancy. This may provide a pathophysiological link between pre-eclampsia and the known increased risk for subsequent atherosclerosis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".