Evaluation of the intestinal microbiota and correlation with functioning in patients suffering from knee osteoarthritis: a cross-sectional study
Bibliographic record
Abstract
Purpose: The aim of this study was to evaluate the composition and metabolic activity of the gut microbiota (GM) in a cohort of patients suffering from knee osteoarthritis (OA) and its impact on their functional status. Methods: We recruited patients with a radiological diagnosis of mild-moderate knee OA (grade II or III according to the Kellgren and Lawrence classification). The primary outcome was the analysis of the intestinal microbiota (with stool sampling, DNA extraction and PCR and sequencing of the microbiota). The secondary outcomes were: Western Ontario and McMaster University Osteoarthritis index (WOMAC), Visual Analog Scale (VAS), Short Physical Performance Battery (SPPB), Timed Up and GO (TUG), Hand Grip Strength (HGS) test, and Berg Balance Scale (BBS). Results: This preliminary study included 17 patients aged 72.1±8.2 years. In these patients suffering from knee OA, in addition to alterations on the main physiatric scales administered (BBS: 40.727±11.22; HGS test: 18.73± 7.15; SPPB: 7.1± 3.13; WOMAC: 41.0±16.4; VAS 6/10), we were able to highlight an alteration in the composition of the microbiota, and in particular an increase in the physiological ratio, in favor of the Firmicutes vs. the Bacteroidetes phylum (v: 2.56 ± 1.78). Conclusions: These results, showing an alteration in the composition of the microbiota with an increase in the Firmicutes/Bacteroidetes ratio, point to a potential correlation between intestinal dysbiosis and arthrosis. There is therefore a need for more specific understanding of the role of the intestinal microbiota in the pathogenesis of OA, and of the pathogenetic mechanism of the gut-joint axis. KEY WORDS: Gut microbiota, osteoarthritis, Firmicutes, Bacteroidetes, gut-joint axis.
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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 | 0.001 |
| 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) | 0.002 | 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".