SEQUENTIAL HISTOLOGICAL AND IMMUNOHISTOCHEMICAL STUDY OF THE SKIN OF THE FIRST HUMAN HAND ALLOGRAFT
Bibliographic record
Abstract
BACKGROUND: On September 1998, the first human hand allograft was successfully performed in Lyon. METHODS: A 48-year-old white man who had suffered accidental amputation of the arm in 1984, received a forearm and hand allograft from a 42-year-old white male cadaveric heart-beating donor. Immunosuppressive therapy included prednisone, mycophenolate mofetil, FK506, and antithymocyte globulins. Sequential skin biopsies were taken from the grafted limb and examined (immuno)histologically to detect a possible graft rejection and to evaluate the structural integrity of the skin of the allograft. RESULTS: The skin showed histologically a normal appearance, except on days 57 and 63, when a mononuclear perivascular cell infiltrate was observed in the dermis; this appeared concomitantly with erythematous lesions of the skin that developed after a slight decrease of the immunosuppressive treatment. These changes were considered as signs of graft rejection, and were reversed by an increase of the immunosuppressive treatment. No skin necrosis was seen at any time. Immunohistochemically, the main cell types of the skin were present throughout the study. From day 77 onward the epidermis of the grafted hand harbored some epidermal Langerhans cells of recipient's origin. CONCLUSION: This study shows that the skin of the hand allograft maintains overall a normal histological structure and contains most essential cell types, including cells of recipient origin, such as Langerhans cells. Furthermore, it shows that in this system of composite tissue transplantation, skin biopsies may reveal a starting graft rejection, before the appearance of clinically obvious lesions.
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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 | 0.000 |
| 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 | 0.001 |
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".