Increased Transcriptional Activity of Milk-Related Genes following the Active Phase of Experimental Autoimmune Encephalomyelitis and Multiple Sclerosis
Bibliographic record
Abstract
We analyzed global transcriptional changes in the lymph nodes of mice with experimental autoimmune encephalomyelitis in a longitudinal fashion. Most of the transcriptional activity was observed between 3 and 5 days postimmunization. After that period, gene expression changes decayed sharply back to baseline levels. A comparison of transcriptional profiles between immunized and control mice at the time of peak disease activity revealed 266 transcripts, mostly involved in cell-cell interaction and protein synthesis. When the same comparison was performed at the time of recovery from an attack, increased expression of genes coding for milk components were identified. Specifically, casein alpha (Csn1s1), beta (Csn2), gamma (Csn1s2a), and kappa (Csn3), in addition to lactoalbumin alpha and extracellular proteinase were elevated >3-fold in immunized animals compared with CFA-injected controls. We confirmed these findings by quantitative RT-PCR and immunostaining of Csn3. Interestingly, the expression of Csn3 was also found elevated in the blood of multiple sclerosis (MS) patients after a relapse. Altogether, our data suggest that increased production of milk-related transcripts in the lymph nodes and blood succeeds an inflammatory event in experimental autoimmune encephalomyelitis and MS. The potential role of lactogenic hormones in MS is discussed.
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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".