A rapid assay of human thyroid peroxidase activity
Bibliographic record
Abstract
Impaired synthesis or action of thyroid hormones (THs) during critically sensitive periods of development can have long term adverse effects on health. Development of rapid assays to identify chemicals that impair THs physiology is an important goal for reducing risks from chemical use. Thyroid peroxidase (TPO) is a key enzyme regulating THs synthesis in thyroid gland and a vulnerable target for chemicals that disrupt THs synthesis. To develop a human-relevant, rapid assay for TPO inhibition, we have engineered two cell lines (CHO and LentiX- 293) to express active human TPO (hTPO) enzyme and applied them in a recently-described assay using a stable fluorescent product (Amplex UltraRed). Assay performance was assessed by comparing activity of 19 reference chemicals with known strong, weak or no TPO inhibitory activity. The assay using hTPO from either cell line consistently identified the relative potency of strong to moderate inhibitors and chemicals known to be inactive. Results were less consistent for chemicals reported to be weak inhibitors of rodent TPO, possibly suggesting some species specificity. Our studies support the use of hTPO from stably transfected cell lines to substitute for animal-derived thyroid microsomes for rapid high throughput screening assays to identify and characterize TPO inhibitors.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".