Endoplasmic Reticulum Stress Caused by Overexpression of Islet-Specific Glucose-6-Phosphatase Catalytic Subunit-Related Protein in Pancreatic Beta-Cells
Bibliographic record
Abstract
The high rate of protein synthesis in beta-cells renders them susceptible to endoplasmic reticulum (ER) stress, a condition that can be aggravated by additional imbalances in ER homeostasis and could potentially contribute to the pathogenesis of type-1 and type-2 diabetes. Islet-specific glucose-6-phosphatase catalytic subunit-related protein (IGRP) is an ER-resident protein that is specifically expressed in pancreatic beta-cells and is a major target of diabetogenic CD8(+) T cell responses in non-obese diabetic (NOD) mice. We produced transgenic mice expressing human IGRP (hIGRP) under the control of rat insulin promoter (RIP) to study epitopes in hIGRP capable of driving diabetogenic human leukocyte antigen (HLA)-restricted CD8(+) T-cell responses in hIGRP/HLA transgenic NOD mice. Surprisingly, we found that 3 out of 14 lines expressing RIP-hIGRP in a non-T1D-prone genetic background developed a form of early-onset diabetes that was dissociated from autoimmune inflammation of pancreatic islets. We show that diabetes in these 3 lines resulted from increased rates of beta-cell death because of ER stress. We hypothesize that IGRP compounds the viability of beta-cells undergoing ER stress by generating unfolded proteins in the ER lumen, and that IGRP's location in the ER accounts, in part, for its exquisite immunogenicity in T1D-prone genetic backgrounds.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".