Neonatal Porcine Sertoli Cells Inhibit Human Natural Antibody-Mediated Lysis1
Bibliographic record
Abstract
Sertoli cells protect cotransplanted cells from allogeneic and xenogeneic rejection. Additionally, neonatal porcine Sertoli cells (NPSCs) survive long-term as xenografts in nonimmunosuppressed rodents. This has led to the hypothesis that NPSCs could be used to prevent cellular rejection in clinical transplantation, thereby eliminating the need for chronic immunosuppression. Prior to transplantation of NPSCs in humans it is necessary to determine whether they are also protected from humoral-mediated xenograft rejection. The presence of Gal alpha(1,3)Gal beta(1,4)GlcNAc-R (alphaGal epitope) as well as binding of human immunoglobulin G (IgG) and IgM to NPSCs was examined by immunocytochemical and fluorescence-activated cell sorter analysis. alphaGal was detected on 88.5% +/- 3.0% of NPSCs. Consistent with this, 71.7% +/- 1.0% and 65.4% +/- 5.2% of NPSCs were bound by IgG and IgM, respectively. When cultured NPSCs underwent an in vitro cytotoxicity assay by incubation with human AB serum plus complement, no increase in cellular lysis was observed, while controls--porcine aorta endothelial cells--were shown to contain > 60% dead cells. Finally, activation of the complement cascade was examined by immunohistochemistry. C3 and C4 were deposited on the surface of the NPSC membrane, indicating activation of complement. Although the complement cascade was activated, the membrane attack complex (MAC) was not formed. These data demonstrate that despite expression of alphaGal, binding of xenoreactive antibodies, and the activation of complement, NPSCs survive human antibody and complement-mediated lysis by preventing MAC formation. This suggests that NPSCs may be able to survive humoral-mediated rejection in a clinical situation.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".