Generation of Functional Human T Cell Development in NOD/SCID/IL2rγ <sup>null</sup> Humanized Mice Without Using Fetal Tissue: Application as a Model of HIV Infection and Persistence
Bibliographic record
Abstract
Abstract Generating humanized mice with fully functional T cells currently relies on co-implantation of hematopoietic stem cells from fetal liver and autologous fetal thymic tissue (BLT mouse). However, access to such tissues has ethical and logistical challenges. Herein, we show that NOD/SCID/IL2rγ null mice humanized with cord blood-derived CD34 + cells and implanted in quadriceps with pediatric thymic tissues excised during cardiac surgeries (CCST mice) are an alternative to BLT mice. Our data revealed a strong immune reconstitution in CCST mice, with T cells originating from CD34 + progenitor cells, proliferating efficiently in response to mitogenic stimulation ex vivo and capable of rejecting allogeneic human leukemic cells in vivo . Despite having less T cells than BLT mice, CCST mice were equally susceptible to mucosal or intraperitoneal HIV infection. Importantly, HIV-specific T cell responses were significantly higher in CCST-mice (median: 10.4% vs . 0.7%; p <0.0001 for CD8 + cells and 3.9% vs . 0.7%; p <0.01 for CD4 + cells). As well, antiretroviral therapy (ART) robustly suppressed viremia and reduced the frequencies of cells carrying integrated HIV DNA by up to 2 logs in various CCST mouse tissues. As in BLT mice, we observed a complete viral rebound in 67% of the animals by 2-4 weeks following ART interruption, suggesting the presence of HIV reservoirs. In conclusion, CCST mice represent an ethical and practical alternative to BLT mice, broadening the feasibility of utilizing humanized mice for research on HIV and other human diseases. One Sentence Summary We herein report a new humanized mouse model implanted with human cord blood hematopoietic stem cells and allogenic pediatric thymic tissue that develops a functional T cell compartment and supports efficient HIV infection and persistence during antiretroviral therapy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".