Detection S100B, P-Tau and Aβ1-42 proteins in the plasma of rheumatoid arthritis patients with mild cognitive impairment
Bibliographic record
Abstract
Objective To investigate the plasma protein concentration of S100B protein, hyperphos-phorylated tau protein (P-tau) and β-amyloid (Aβ1-42) of rheumatoid arthritis (RA) patients with mild co- gnitive impairment (MCI) and to provide a reference for clinical diagnosis and prevention of cognitive dysfunction of RA patients. Methods The subjects were consisted of three groups: RA patients with MCI, RA patients with normal cognitive function (NC) and healthy controls. The Montreal Cognitive Assessment (MoCA) was used to test patients' cognitive function, generalized anxiety disorder scale-7 (GAD-7) scale and 9-item patient health questionnaire-9 (PHQ-9) were used to exclude anxiety and depression of RA patients. The concentration of S100B protein, P-tau protein and Aβ1-42 protein in plasma was detected by enzyme-linked immunosorbent assay (ELISA), and the correlation among the concentration of S100B protein, P-tau protein and MoCA scores was analyzed by Pearson's chi-squared test. Results ① Cognitive scores showed that some RA patients had MCI. ② The plasma levels of S100B (F=11.81, P<0.05), P-tau (F=3.3, P<0.05) protein in RA patients with MCI were higher than that in NC RA patients and the control group (P<0.05). ③ The clinical index analysis showed that the concentration of C reactive protein (CRP) in RA patients with MCI was higher than that in NC RA patients and healthy control, the difference was statistically significant (t=6.44, P<0.05). ④ The levels of plasma P-tau (r=-0.539, P<0.05), S100B (r=-0.346, P<0.05), CRP (r=-0.358, P<0.05) protein were negatively correlated with cognitive scores (P<0.05). Conclusion CRP, S100B protein and P-tau protein are associated with the pathogenesis of RA patients with MCI. The consequences of plasma concentration test can be com-bined with cognitive assessment questionnaire to provide reference for clinical diagnosis of RA patients with MCI. Key words: Arthritis, rheumatoid; Mild cognitive dysfunction; S100 proteins; Tau proteins; Amyloid beta-protein
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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".