Changes in Peripheral Blood Mononuclear Cells - Novel Evidence for an Immunomodulatory Aspect in Bell’s Palsy?
Bibliographic record
Abstract
Background : Patients with Bell’s Palsy (BP): a very common neuropathy of the facial nerve-showed significant decreases of T- and B-lymphocytes in earlier studies. Besides a viral infection an autoimmune process leading to this disease has been discussed. Methods : 15 patients with BP and 15 healthy, age-matched individuals were included in this study. In addition to routine blood parameters peripheral blood mononuclear cells (PBMCs) were isolated by Ficoll density gradient. Afterwards, in CD14 + (monocytes), CD68 + (macrophages), CD3 + (T-lymphocytes) or CD19 + (B-lymphocytes) the percentage of cells, expressing pro-inflammatory (CD40, TNF- α , and COX-2), pro-apoptotic (Caspase-3, PARP), pro-adhesive (CD38) and oxidative stress-related (MnSOD) proteins were measured by two-color fluorescence-activated cell sorter analyses. Results: In comparison to healthy individuals, patients with BP revealed significantly elevated plasma levels of C-reactive protein and total leukocyte count, while levels of T- and B-lymphocytes were significantly decreased. In BP patients all subpopulations under test showed a significant increase in percentage of CD38 + as well as of pro-inflammatory (CD40 + , TNF- α + ) cells; additionally monocytes showed a significant increase in percentage of MnSOD positive cells. Conclusions: Our data shows new evidence for an involvement of the immune system in BP. Therefore, we suggest that future investigations of PBMCs in BP patients represent a very promising approach to further elucidate possible pathomechanisms. doi:10.4021/ jnr108 w
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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) | 0.004 | 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".