A035 Identification of neurodevelopmental organization of the ChP cell population and TTR in HD fused organoids
Bibliographic record
Abstract
The impact of Huntington’s Disease (HD) on neurodevelopment is still not fully elucidated. Our latest study demonstrates a new fused dorso-ventral forebrain organoid model of HD for providing new insights into the altered cellular organization of brain structures in HD neurodevelopment. The dorso-ventral organoids from juvenile HD or control iPSC mimick cortex and striatum brain regions affected in HD. HD organoids grew significantly larger than the control and showed more NSC rosettes and specific gene expression profiles, indicating a commitment to proliferation over differentiation. We demonstrate that a molecular marker TTR is highly upregulated as early as brain dorso-ventral organoids and embryonic brains of the Hu128/21 HD mouse model. By scRNAseq, we found that both HD models also show upregulation of a specific choroid plexus (ChP) cell population, which hardly occurs in control 60-day organoids and control embryos. Increased TTR expression in human HD organoids and mosaic organoids, HD mouse embryos, and the HD mouse blood serum underscores TTR’s potential significance in HD pathogenesis. ChP population early growth and the indication that early TTR biomarkers can be identified in blood serum may enable very early detection and monitoring of HD. Our results connecting the TTR marker and ChP structure brain and its increased cellular population in organoids and embryos may ultimately lead to developing novel and more effective HD therapies that target the ChP.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".