Development and multi-center evaluation of a novel immunoadsorption method for anti-DFS70 antibodies
Bibliographic record
Abstract
OBJECTIVE: Antinuclear antibodies (ANA) represent a hallmark in the diagnosis of ANA-associated rheumatic diseases (AARD). However, anti-DFS70 antibodies are present in a higher portion of the healthy individuals (HI) than in patients with AARD. Consequently, we developed a novel, highly specific indirect immunofluorescence (IIF) method that blocks anti-DFS70 antibodies from binding to HEp-2 cells and to evaluate the method in a multi-center study. METHODS: A total of 18 samples from systemic lupus erythematosus patients (SLE, n = 7) and HI (n = 11) were used for the initial development of the immunoadsorption method. For the multi-center evaluation, samples with a dense fine speckled (DFS) pattern (n = 99) were collected at three different sites based on their established IIF screening procedure at the respective laboratories. Additionally, four characterized samples with established clinically relevant IIF patterns (centromere, nucleolar, speckled, homogeneous) were blended in five different ratios (10%, 25%, 50%, 75%, 90%) with a sample positive for anti-DFS70 antibodies, which by itself showed a dense fine speckled (DFS) IIF pattern. All samples were tested by IIF with NOVA Lite HEp-2 ANA and NOVA Lite HEp-2 Select on the NOVA View® instrument, and also tested by QUANTA Flash DFS70 chemiluminescent immunoassay (CIA) for confirmation of anti-DFS70 antibodies (Inova Diagnostics, San Diego, CA, USA). RESULTS: For the development of the immunoadsorption method, only 1/7 ANA-positive samples from SLE patients, but 8/10 ANA-positive samples from healthy individuals turned negative using the immunoadsorption. Subsequently, 73/99 (73.7%) of the DFS pattern samples were positive by CIA for anti-DFS70 antibodies showing a strong quantitative Spearman's correlation (rho = 0.57 (95% CI, 0.39-0.71, p < 0.0001)) between light intensity units (LIU) measured by NOVA View and CIA. Intensities measured with NOVA Lite HEp-2 and NOVA Lite HEp-2 Select demonstrated significantly lower intensity values after inhibition with DFS70 antigen (p < 0.0001). When samples were processed to mimic samples with mixed patterns (DFS + clinically relevant pattern), the new immunoadsorption method demonstrated that all clinically relevant patterns remained unchanged whereas the LIUs from NOVA View analysis significantly decreased after inhibition (p < 0.0001). CONCLUSION: The data showed that the NOVA Lite HEp-2 Select kit effectively inhibits anti-DFS70 antibody binding to its cellular target antigen.
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 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 | 0.002 | 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 | 0.000 |
| 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".