Endosymbiotic Actinidic Archaea and Viroids-Role in Genomic Regulation
Bibliographic record
Abstract
Objective: A hypothesis regarding the role of endosymbiotic actinidic archaea and viroids in immune regulation is put forward. Endogenous digoxin has been related to the pathogenesis of multiple sclerosis and other autoimmune diseases like systemic lupus erythematosis and rheumatoid arthritis. The possibility of endogenous digoxin synthesis by actinidic archaea with a mevalonate pathway and cholesterol catabolism was considered. The role of archaeal derived viroids in immune regulation was also evaluated. Methods: 10 cases each of multiple sclerosis and other autoimmune diseases like systemic lupus erythematosis and rheumatoid arthritis before starting treatment and 10 age and sex matched healthy controls from general population were chosen for the study. Cholesterol substrate was added to the plasma of the patients and the generation of cytochrome F420, free RNA, free DNA, polycyclic aromatic hydrocarbon, hydrogen peroxide, serotonin, pyruvate, ammonia, glutamate, cytochrome C, hexokinase, ATP synthase, HMG CoA reductase, digoxin and bile acids were studied. The changes with the addition of antibiotics and rutile to the patient’s plasma were also studied. The statistical analysis was done by ANOVA. Results: The parameters mentioned above were increased the patient’s plasma with addition of cholesterol substrate. The addition of antibiotics to the patient’s plasma caused a decrease in all the parameters while addition of rutile increased their levels. Conclusions: An actinide dependent shadow biosphere of archaea and viroids is described in multiple sclerosis and other autoimmune diseases like systemic lupus erythematosis and rheumatoid arthritis contributing to their pathogenesis. The actinidic archaea and viroids play a role in immune regulation. Key words : Archaea; Viroids; Cholesterol; Actinide; Multiple sclerosis; Systemic lupus erythematosis; Rheumatoid arthritis; Immune regulation
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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 | 0.000 |
| 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) | 0.001 | 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".