Animal Models for Autoimmune Myocarditis and Autoimmune Thyroiditis
Bibliographic record
Abstract
This chapter describes four murine models of autoimmune diseases: two related to autoimmune myocarditis and two related to autoimmune thyroiditis. The first model, Coxsackie virus B3 (CB3)-induced myocarditis, results in the development of acute myocarditis in susceptible as well as resistant mouse strains, whereas chronic myocarditis develops only in genetically susceptible mice. CB3-induced myocarditis closely resembles the course of human myocarditis, which is believed to be initiated by viral infection. Mouse cardiac myosin heavy chain has been identified as the major antigen associated with the late chronic phase of viral myocarditis. The second model is cardiac myosin-induced experimental autoimmune myocarditis (EAM) and, in a modification, cardiac alpha-myosin heavy chain peptide-induced myocarditis. In the EAM model, cardiac myosin or the relevant peptide in Freund's complete adjuvant (FCA) is injected subcutaneously into mice. The immune response, the histological changes, and the genetic susceptibility seen in EAM are similar to those of CB3-induced myocarditis. The third model is experimental autoimmune thyroiditis (EAT). EAT can be induced in genetically susceptible strains of mice by immunization with mouse thyroglobulin in FCA or lipopolysaccharide. Mice susceptible to EAT have the H-2A(k), H-2A(s), or H-2A(q) alleles. We describe here a standard technique for the induction of EAT; it was developed in our laboratory and is widely used as a model for studying Hashimoto's thyroiditis. The fourth model presented in this chapter is that of spontaneous autoimmune thyroiditis in NOD.H2h4 mice. These mice express the H-2A(k) allele on an NOD genetic background and develop spontaneous thyroiditis, which is exacerbated with dietary iodine.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".