Definitive class I human leukocyte antigen expression in gestational placentation: <scp>HLA</scp> ‐F, <scp>HLA</scp> ‐E, <scp>HLA</scp> ‐C, and <scp>HLA</scp> ‐G in extravillous trophoblast invasion on placentation, pregnancy, and parturition
Why this work is in the frame
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Bibliographic record
Abstract
PROBLEM: The extravillous trophoblasts (EVT) express HLA-C and HLA-G, but HLA-E and HLA-F are the subject of conflicting reports. In this study, we define the HLA expression profile during active EVT placental implantation, pregnancy development, and parturition. METHOD OF STUDY: Immunohistochemistry, q-PCR, and Western blot were used to investigate HLA-C, HLA-E, and HLA-F placental expression across gestation from the early first trimester, late first trimester, second trimester (n=10 in each), preterm gestation (n=6) to elective term cesarean section and term vaginal deliveries (n=12, 38-41 weeks). EVT explants and Swan71 cells were used to assess HLA-C and HLA-F during active EVT migration. RESULTS: HLA-G, HLA-C, and HLA-F were expressed by 1st-trimester EVT and became intracellular and weaker as gestation progressed. HLA-E was only expressed in 1st-trimester placenta. HLA-F and HLA-C mRNA and protein expression levels showed a significant increase in the fetal villous mesenchyme across gestation. HLA-C levels increased with labor. We detected a 100-kDa HLA-F band in early pregnancy suggesting dimer formation on the EVT surface. These results were confirmed in EVT outgrowths and Swan71 trophoblast which showed that HLA-F and HLA-G are increased on the cell surface of migrating EVT, while HLA-C was internalized. CONCLUSION: Expression of HLA-F and HLA-G on the cell surface of actively migrating EVT supports their specific role in early EVT invasion and interactions with uterine natural killer cells. HLA-C's limited expression to the proliferative EVT suggests a protective role in the earliest events of implantation but not in active EVT invasion. We also show for the first time that HLA-C may be involved in parturition.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it