Analysis of Clusterin Glycoforms in the Urine of BSE-Infected Fleckvieh–Simmental Cows
Bibliographic record
Abstract
Currently approved tests for bovine spongiform encephalopathy (BSE) monitoring in cattle are based on the detection of the disease-related isoform of the prion protein in brain tissue and consequently are only suitable for postmortem diagnosis. Previously, to meet the demand for an antemortem test based on a matrix that would permit easy access and repeated sampling, two-dimensional differential gel electrophoresis (2D-DIGE) was used to perform an unbiased screen of bovine urine. Data demonstrated the altered abundance of particular isoforms of the multifunctional glycoprotein clusterin in urine samples obtained from BSE-infected and age-matched Fleckvieh-Simmental cattle. Unfortunately, the use of particular isoforms of a relatively abundant urine protein such as clusterin for diagnosis faces many of the same challenges encountered in tests based on PrP(d) detection. In both instances the specific detection of the marker protein is complicated by the high background levels of proteins with identical amino acid sequences, but lacking the disease-specific posttranslational modifications or configuration. The goal of the current study was to define the distinguishing characteristics of the clusterin isoforms observed. Biochemical and mass spectrometry analyses in combination with the generation of bovine clusterin subunit-specific antibodies enabled us to demonstrate that it was β-subunits of clusterin possessing N-linked glycans of complex structure that exhibited differential abundance in response to BSE infection. The charateristic highly glycosylated clusterin β-subunit was detectable as early as 16 mo post infection (mpi) by one-dimensional (1D) Western blot analysis of urine obtained from BSE-infected cattle.
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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 | 0.001 | 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 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".