The Association Between Reactive Oxygen Metabolites and Metabolic Syndrome in Asymptomatic Japanese Men
Bibliographic record
Abstract
BACKGROUND: The association between the oxidative status and metabolic syndrome (MetS) should be studied in various populations with various oxidative stress-related markers. The aim of this cross-sectional study was to investigate the association between oxidative status, as assessed by the reactive oxygen metabolites (d-ROMs) test, and MetS in asymptomatic Japanese men, in relation to age. METHODS: The serum d-ROMs levels were measured in cardiovascular disease-free, non-smoking, non-medicated males (n = 140), who were divided into groups as follows: Group 1, < 60 years (n = 75, mean age 46 ± 9 [SD] years), and Group 2, ≥ 60 years (n = 65, mean 68 ± 6 years). The MetS was determined by the NCEP-ATP recommendations with minor modifications for a Japanese population. RESULTS: There was no significant difference in the d-ROMs levels between the subjects with and without MetS in Group 2 (≥ 60 years), but the subjects with MetS (n = 38, 324 ± 59 U. Curr.) exhibited significantly higher d-ROMs levels than those without MetS (n = 37, 290 ± 49 U. Curr., P < 0.01) in Group 1 (< 60 years). These differences did not change even after adjustments for basic confounders. CONCLUSIONS: These results suggest that oxidative status, as assessed by the d-ROMs, can be enhanced among asymptomatic younger, but not older, Japanese males with MetS. Further studies are required to establish the observed associations. KEYWORDS: Oxidative stress; Reactive oxygen species; D-ROMs; Obesity; Metabolic syndrome.
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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 | 0.000 | 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) | 0.001 | 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".