Lack of IL-7 Receptor Alpha Chain (CD127) Expression In T Cells Is a Hallmark of T-Cell Immunodeficiency In Schimke Immuno-Osseous Dysplasia (SIOD)
Bibliographic record
Abstract
Abstract Abstract 2767 Schimke immuno-osseous dysplasia (SIOD) is an autosomal recessive, incompletely penetrant, childhood disorder associated with biallelic loss-of-function mutations of SMARCAL1 (swi/snf-related matrix-associated actin-dependent regulator of chromatin, subfamily-a-like-1) gene. The SMARCAL1 gene encodes for the DNA annealing helicase although it is unknown why this impairment results in skeletal dysplasia, renal dysfunction, and T-cell lymphopenia. The representation of T-cell subsets in SIOD patients is further characterized by a high proportion of memory (CD45RA−CD45RO+) T cells, however, the etiology of T-cell immunodeficiency has not been elucidated. Here, we demonstrate that T cells in individuals affected by SIOD express markedly reduced surface levels of IL-7 receptor alpha chain (CD127) as compared to their unaffected sibling or normal individuals. In contrast, the alpha-chain component of the IL-2 receptor (CD25) was expressed normally. This reduction in IL-7 receptor alpha chain was observed in all T-cell subsets including naïve T cells. This suggests that the origin of the IL-7 receptor alpha chain deficiency is likely intrathymic, rather than occurring after emigration to the periphery. In addition, T cells from SIOD patients were less responsive to stimulation with IL-7, indicating a loss of functional receptor. From these observations, we propose the lack of functional IL-7 receptor expression in T cells, and possibly their earlier progenitors, may have restricted T-cell development in SIOD patients. The mechanism for reduced IL-7 receptor expression is currently under investigation. Disclosures: No relevant conflicts of interest to declare.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".