Discrimination of agonist and antagonist forms of CXCL10 in biological samples
Bibliographic record
Abstract
The ready access to commercially available multiplex assays and the importance of inflammation in disease pathogenesis has resulted in an abundance of studies aimed at identifying surrogate biomarkers for different clinically important questions. Establishing a link between a biomarker and disease pathogenesis, however, is quite complex, and in some instances this complexity is compounded by post-translational modifications and the use of immunoassays that do not always discriminate between the different forms of the same protein. Herein, we provide a detailed description of an assay system that has been established to discriminate the agonist form of CXCL10 from the NH(2) -terminal truncated form of the molecule generated by dipeptidylpeptidase IV (DPP4) cleavage. We demonstrate the utility of this assay system for monitoring agonist and antagonist forms of CXCL10 in culture supernatant, patient plasma and urine samples. Given the important role of CXCL10 in chronic inflammatory diseases and its suggested role as a predictive marker in managing patients with chronic hepatitis C, asthma, atopic dermatitis, transplantation, tuberculosis, kidney injury, cancer and other diseases, we believe that our method will be of general interest to the research and medical community.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 teacher head, 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".