Anticuerpos contra células del trofoblasto en el primer trimestre del embarazo Antibodies against trophoblast cells in the first quarter of pregnancy
Bibliographic record
Abstract
Las células del trofoblasto no expresan los antígenos HLA clásicos de clase I (A, B, C), pero sí los antígenos HLA G que pueden generar anticuerpos capaces de tener reacción cruzada con los primeros. Se estudiaron 24 mujeres en el primer trimestre del embarazo, sin antecedentes de embarazos o transfusiones de sangre, con anticuerpos reactivos contra leucocitos, plaquetas o ambos (9 antigranulocitarios y 15 anti-HLA), para determinar la presencia de anticuerpos antitrofoblasto, mediante técnica de inmunofluorescencia indirecta en lámina. El 54,16 % presentó anticuerpos antitrofoblasto. El 86,66 % de las embarazadas con anticuerpos anti-HLA, presentó anticuerpos contra trofoblasto, mientras que ninguno de los sueros con anticuerpos específicos de granulocitos reaccionó con las células trofoblásticas (p=0,00). Después de la adsorción con tejido trofoblástico, los sueros con anticuerpos con especificidad granulocitaria mantuvieron la reactividad con leucocitos de sangre periférica, y solo 2 de los que presentaban especificidad HLA. Los resultados sugieren que la mayoría de los anticuerpos anti-HLA, reactivos con leucocitos, plaquetas o ambos, pueden estar dirigidos contra antígenos HLA-G del trofoblasto y muestran reacción cruzada con los antígenos HLA leucocitarios, lo cual favorece el bloqueo de la respuesta de los leucocitos maternos contra las células fetales, lo que pudiera explicar, además, la alta prevalencia de anticuerpos anti-HLA en el embarazo temprano. Trophoblast cells do not express classical HLA class I antigens (A, B, C), but they do express HLA G antigens which may generate antibodies capable of cross-reacting with the former. A study was conducted of 24 women in the first quarter of pregnancy, with no previous pregnancies or blood transfusions, with reactive antibodies against leukocytes, platelets or both (9 antigranulocytary and 15 anti-HLA), to determine the presence of antitrophoblast antibodies, by plate indirect immunofluorescence technique. 54.16 % had antitrophoblast antibodies. 86.66 % of the pregnant women with anti-HLA antibodies had antibodies against the trophoblast, whereas none of the sera with granulocyte specific antibodies reacted with trophoblastic cells (p=0,00). Following adsorption with trophoblastic tissue, the sera with antibodies showing granulocyte specificity remained reactive with peripheral blood leukocytes, as opposed to just 2 of those showing HLA specificity. Results suggest that most anti-HLA antibodies reactive with leukocytes, platelets or both, may be aimed against trophoblast HLA-G antigens, and cross-react with leukocyte HLA antigens, which facilitates blockage of the response of maternal leukocytes against fetal cells. This may also explain the high prevalence of anti-HLA antibodies during early pregnancy.
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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".