Conditional Inactivation of TACE by a <i>Sox9</i> Promoter Leads to Osteoporosis and Increased Granulopoiesis via Dysregulation of IL-17 and G-CSF
Bibliographic record
Abstract
The TNF-alpha converting enzyme (TACE/ADAM17) is involved in the proteolytic release of the ectodomain of diverse cell surface proteins with critical roles in development, immunity, and hematopoiesis. As the perinatal lethality of TACE-deficient mice has prevented an analysis of the roles of TACE in adult animals, we generated mice in which floxed Tace alleles were deleted by Cre recombinase driven by a Sox9 promoter. These mutant mice survived up to 9-10 mo, but exhibited severe growth retardation as well as skin defects and infertility. The analysis of the skeletal system revealed shorter long bones and prominent bone loss, characterized by an increase in osteoclast and osteoblast activity. In addition, these mice exhibited hypercellularity in the bone marrow and extramedullary hematopoiesis in the spleen and liver. Flow cytometric analysis of the bone marrow cells showed a sharp increase in granulopoiesis and in the population of c-Kit-1(+) Sca-1(+) lineage(-) cells, and a decrease in lymphopoiesis. Moreover, we found that serum levels of IL-17 and G-CSF were significantly elevated compared with control littermates. These findings indicate that TACE is associated with a regulation of IL-17 and G-CSF expression in vivo, and that the dysregulation in G-CSF production is causally related to both the osteoporosis-like phenotype and the defects in the hematopoietic system.
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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 | 0.000 | 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 | 0.001 |
| 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".