Bibliographic record
Abstract
PV099 / #84 Poster Topic: AS12 - Genetics, Epigenetics, Transcriptomics Background/Purpose Autoimmune disease tautology (ie, common features of autoimmune diseases such as female predominance among patients) suggests there may be similar cellular level mechanisms in many autoimmune diseases with the subsequent symptoms varying based on the cell type, triggers involved, and immune system accessibility. This tautology can also include Alzheimer’s and other neurodegenerative diseases. The purpose of this project was to search published research to develop a mechanistic hypothesis based on synergies among these diseases. Methods The author’s previously published hypothesis, the “X chromosome-nucleolus nexus” which focused primarily on lupus, provided a starting point. That hypothesis proposed that nucleolar dynamics during extraordinary cellular stress could disrupt the inactive X chromosome (Xi; aka, the “nucleolar satellite” or Barr body). This could open expression of normally silent X-linked polyamine enzyme alleles and an abundance of Alu elements on the Xi. Increased polyamine metabolism could drive further nucleolar dynamics. RNA polymerase III generated Alu RNA transcripts could competitively bind nucleolin, disrupting the nucleolar shell normally stabilized by nucleolin and structural RNAs. Disruption of the nucleolar shell could release autoantigenic material leading to the lupus autoimmune reaction. Online queries (eg, PubMed) with key word combinations (eg, nucleolin, lupus, Alzheimer’s) were used and retrieved research results that supported potential abnormalities in polyamine metabolism, disruption of peri-nucleolar chromatin, abnormal expression of Alu elements, and loss of nucleolar integrity. Results It was found that many aspects of Alzheimer’s and other diseases could be explained by expansion of the original “X chromosome-nucleolus nexus” hypothesis and such expansion gives further details for the original lupus hypothesis. When key genes in Alzheimer’s were queried, it was found that they were in peri-nucleolar chromatin: presenilin-1 on chromosome 14; amyloid precursor protein on chromosome 21; tau on chromosome 17, and ApoE4 on chromosome 19. Chromosomes 14 and 21 with nucleolar organizing regions are in the nucleolar shell and chromosomes 17 and 19, with DNA repair genes, are associated with the nucleolus (ie, TADs, topological associated domains) to assist in the nucleolar function of DNA repair. Therefore, nucleolar dynamics could potentially adversely impact epigenetic control in these peri-nucleolar chromosomes. Alu elements comprise 11% of the human genome, with more than 1 million Alu copies, whereas non-primate animals do not have Alu elements. Alu elements account for 28.8% of the pseudo-autosomal region 1 (PAR1) of the X chromosome (~2,500 Alu copies). The chromosome 22 long arm (22q) in the nucleolar shell is 18% Alu, chromosome 19 is 25.8% Alu, chromosome 17 is 18% Alu with 30% in 17p13.3. Such Alu clusters could have a significant role in disruption of the nucleolus in lupus, Alzheimer’s and other autoimmune and neurodegenerative diseases. Conclusions The hypothesis proposes mutual disruption of the nucleolus and peri-nucleolar chromatin in these diseases with loss of epigenetic control that allows altered expression of Alzheimer’s related genes and, in lupus, formation of autoantigens, many of which are components of the nucleolus. Increased polyamine metabolism (eg, triggered by EBV or UV light) can reduce S-adenosylmethionine (SAM) which, at low levels seen in Alzheimer’s, can induce tau phosphorylation by p38 kinase followed by polyamine-induced aggregation of hyperphosphorylated tau. Polyamine recycling can reduce acetyl-CoA leading to low acetylcholine seen in Alzheimer’s. This hypothesis suggests new directions for therapeutic research in autoimmune and neurodegenerative diseases.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".