An immunological insight into the origins of pre-eclampsia
Bibliographic record
Abstract
BACKGROUND: Pre-eclampsia is a syndrome of heterogeneous origin characterized by deficient placentation due to the inability of the cytotrophoblast to acquire an invasive phenotype and to remodel the uterine spiral arteries. One of the main problems observed early in pre-eclampsia is an altered regulation of the immune system, where the shift toward a Th2 cytokine profile observed in normal pregnancies, does not occur. In pre-eclampsia, high interferon (IFN)-gamma concentrations are present, along with transforming growth factor-beta cytokines, which retard migration of cytotrophoblasts. METHODS: A review of the scientific literature was performed on the immunological factors associated with the origins of pre-eclampsia. The various components of the immune system that may be participating in the aberrant immune activation that pathologically affect early pregnancy events and inhibit cytotrophoblast invasion were identified. RESULTS AND CONCLUSIONS: Cells and their signaling and regulatory molecules have been implicated in the immunological alterations found in the placental microenvironment of patients who develop pre-eclampsia. One of the main differences found in pre-eclampsia is a shift toward Th1 responses and the production of IFN-gamma. The origin of IFN-gamma is not clearly identified and could be the uterine natural killer cells, the placental dendritic cells modulating Th responses, alterations in synthesis of or response to regulatory molecules, or changes in the function of regulatory T cells in pregnancy. Aberrant immune responses promoting pre-eclampsia may also be due to an altered fetal allorecognition or to inflammatory triggers. Understanding the immunological basis for pre-eclampsia will expand knowledge regarding other adverse pregnancy outcomes.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".