Assessment of the impact of aerosol from heated-tobacco system compared with conventional cigarette smoke on experimental rheumatoid arthritis
Bibliographic record
Abstract
Rheumatoid arthritis (RA) is chronic autoimmune disease which is aggravated in smokers. Alternative modified-risk tobacco products are being developed to provide substitute products for smokers who are unable or unwilling to quit. Among then, heat-not-burn tobacco (HNBT) products generate reduced yields of toxicants compared with cigarettes and hold great potential for reducing the harms associated with tobacco. We aimed to investigate and compare the effects of CS exposure and the aerosol from HNBT on an experimental RA model. Male adults C57BL/6 mice were exposed to air, HNBT or commercial cigarettes in smoking chambers, following the Canada regimen, for 1 hour, twice a day, during the developmental phase of antigen-induced arthritis (AIA), between days 14 to 20. Mice were injected s.c. on day 0 with 500 μg of mBSA in an emulsion of saline and CFA, and boosted on days 7 and 14 with the same preparation in IFA. Intra-articular challenge was carried out on day 21 and after 24 h clinical symptoms were evaluated. Data obtained showed CS-exposed mice presented higher levels of blood carboxihemoglobin, higher articular hyperalgesia and edema, higher amount of NETs and MCP-1 in the synovia and higher number of granulocytes in the bone marrow than their counterparts. HNBT-exposed mice presented similar picture of the disease than air-exposed mice, except by reduced influx of cells in the synovial fluid. Nevertheless, such CS or HNBT exposures reduced the amount of IL-10 in the synovia and number of splenocytes and cells in the DLNs. Moreover, CS delivered higher amounts of toxic metals into exposure chambers, and lungs of CS-exposed mice showed higher histopathological score than other groups. Our data highlight HNBT exposure does not worse the local and systemic AIA symptomatology as CS exposure does, providing novel evidence surrounding the HNBT as a possible alternative to reduce the smoking-related health risks, mainly in chronic diseases. Financial support: FAPESP (2017/26998-9).
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".