Analysis of salivary parameters of mucopolysaccharidosis individuals
Bibliographic record
Abstract
Mucopolysaccharidosis (MPS) is a heterogeneous group of rare, chronic, progressive and systemic inherited disorders resulting from deficiency or lack of lysosomal enzymes responsible for the degradation of glycosaminoglycans. Products of nitrosative stress have been previously detected in blood and urine samples of patients with MPS. However, it is unclear whether they are present in the saliva of MPS patients and also if they correlate with salivary parameters such as flow and pH. This study compared the salivary levels of NOX (NO2- + NO3-), nitrite (NO2-), protein (albumin), erythrocyte and leukocyte numbers, as well as the salivary flow rate and pH values of samples obtained from 10 MPS patients and 10 healthy subjects. MPS patients exhibited higher salivary levels of NOX and NO2- when compared to healthy subjects (p < 0.05). Albumin was only detected in six saliva samples of MPS patients and, erythrocytes and leukocytes were detected in 60% and 40% of the MPS patients, respectively. In addition, salivary flow rate and pH averages were statistically lower in this group when compared to healthy samples (p < 0.05). Overall, the data indicates that the salivary levels of NO products can be used in combination with other heath indicators to monitor MPS disorders.
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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 | 0.001 |
| 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".