Gimap5-dependent inactivation of GSK3β is required for CD4+ T cell homeostasis and prevention of immune pathology
Bibliographic record
Abstract
Abstract GTPase of immunity-associated protein 5 (Gimap5) has been linked with lymphocyte survival, autoimmunity and colitis, but its mechanisms of action are unclear. Here we show that Gimap5 is essential for inactivation of glycogen synthase kinase-3β (GSK3β) following T cell activation. In the absence of Gimap5, constitutive GSK3β activity constrains c-Myc induction as well as NFATc1 nuclear import, thereby reducing the frequency of CD4+ T cells that complete cell cycle. Additionally, Gimap5 facilitates phosphorylation of GSK3β at Ser389 and its nuclear translocation. Impairment in the latter steps of GSK3β regulation by Gimap5 is associated with increased DNA damage and reduced survival of activated CD4+ T cells. Importantly, pharmacological targeting and genetic deletion of GSK3β in mice can override Gimap5-deficiency in CD4+ T cells, limiting DNA damage and enhancing T cell proliferation and survival. Additionally, this ameliorates immune-mediated pathology in vivo caused by loss of Gimap5. Finally, we show that a human patient with a GIMAP5 loss-of-function mutation has lymphopenia and impaired T cell proliferation. T cells from this patient exhibit impaired proliferation, but can be rescued in vitro with GSK3 inhibitors. Given the restricted expression of Gimap5 in lymphocytes, we propose that its control of GSK3b activity is an important checkpoint in lymphocyte proliferation and function.
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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".