In vivo imaging of a diabetogenic CD8+ T cell response during type 1 diabetes progression
Bibliographic record
Abstract
Type 1 diabetes is preceded by a long, protracted period of pancreatic islet inflammation by autoreactive lymphocytes. Noninvasive imaging of islet inflammation prior to the onset of hyperglycemia might have diagnostic and therapeutic implications, but this is not currently possible. Here, MRI is used to track, noninvasively, the accumulation diabetogenic CD8+ T-cells during type 1 diabetes progression in nonobese diabetic (NOD) mice. The contrast agent is an MRI probe (MN-NRP-V7) that specifically labels CD8+ T-cells recognizing residues 206-214 of islet-specific glucose-6-phosphatase catalytic subunit related protein (IGRP(206-214)) in the context of the major histocompatibility complex (MHC) class I molecule H-2K(d). This probe consists of superparamagnetic iron oxide nanoparticles (MN) coated with K(d) molecules presenting NRP-V7, a high-avidity mimotope of IGRP(206-214). NOD mice of different ages (5, 8, 15, and 24 weeks) were imaged by MRI before and after a single intravenous injection of MN-NRP-V7 or unmodified MN nanoparticles. MN-NRP-V7 accumulation, as determined by semiquantitative MRI analysis of pancreas-associated T(2) relaxation time, was antigen-specific, age-dependent, and well correlated with the numbers of MN-NRP-V7-labeled CD8+ T-cells recovered from the pancreata of the treated mice. Antigen/MHC-coupled nanoparticles represent a promising new avenue for noninvasive imaging of lymphocyte inflammation in organ-specific autoimmunity and transplantation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".