Autophagy in Mononuclear Cells from Patients with Autoimmune Thyroiditis
Bibliographic record
Abstract
Autoimmune thyroiditis (AIT) is a chronic thyroid disorder wherein overstimulated CD4+T lymphocytes activate CD8+ cytotoxic T lymphocytes, thereby inducing Fas-mediated apoptosis of thyrocytes and reducing the hormonal activity of the thyroid gland. Recent studies suggest that autophagy, a process vital for maintaining cellular homeostasis through the degradation of damaged proteins and organelles in autolysosomes, is involved in the pathogenesis of autoimmune diseases. This article examines autophagy in peripheral blood mononuclear cells and the expression of key autophagy proteins (Vps34, p62, and LC3) in patients with AIT. The number of autophagosomes in the cells was tracked and assessed using flow cytometry. The expression of the protein markers was measured by western blotting. It was demonstrated that the levels of Vps34, LC3-II, and p62 increased significantly in the lymphocytes of all patients with AIT. The high level of the autophagosome protein LC3-II correlated with that of the ubiquitin-binding protein p62, which may indicate a disruption in the late stage of autophagy, i.e., in the fusion of autophagosomes with lysosomes. Impaired autophagy promotes excessive accumulation of autophagosomes in the cytoplasm, which, in turn, triggers apoptotic or necrotic cell death. Therefore, understanding the mechanisms of impaired autophagy in lymphocytes could be a promising avenue for slowing and limiting the damage associated with the onset and development of AIT.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".