Sex differences in subcutaneous adipose tissue redox homeostasis and inflammation markers in control and high-fat diet fed rats
Bibliographic record
Abstract
The development of obesity-related metabolic disorders is more evident in male in comparison with female subjects, but the mechanisms are unknown. Several studies have shown that oxidative stress is involved in the pathophysiology of obesity, but the majority of these studies were performed with male animals. The aim of this study was to evaluate the sex-related differences in subcutaneous adipose tissue redox homeostasis and inflammation of rats chronically fed a high-fat diet. NADPH oxidase (NOX), glutathione peroxidase (GPx), superoxide dismutase (SOD), and catalase activities were evaluated in the subcutaneous adipose tissue (SC) of adult male and female rats fed either a standard chow (SCD) or a high-fat diet (HFD) for 11 weeks. NOX2 and NOX4 messenger RNA (mRNA) levels, total reduced thiols, interleukin (IL)-1β, tumor necrosis factor α (TNF-α), and IL-6 were also determined. Higher antioxidant enzyme activities and total reduced thiol levels were detected in SC of control male compared with female rats. Chronic HFD administration increased NOX activity and NOX2 and NOX4 mRNA levels and decreased SOD and GPx activities only in male animals. IL-1β, TNF-α, and IL-6 levels, as well as Adgre1, CD11b, and CD68 mRNA levels, were also higher in SC of males after HFD feeding. In SC of females, catalase activity was higher after HFD feeding. Taken together, our results show that redox homeostasis and inflammation of SC is sexually dimorphic. Furthermore, males show higher oxidative stress in SC after 11 weeks of HFD feeding owing to both increased reactive oxygen species (ROS) production through NOX2 and NOX4 and decreased ROS detoxification.
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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) | 0.002 | 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".