Is There any Link Between Visceral Obesityand Adenovirus Infections in the Polish Population?
Bibliographic record
Abstract
BACKGROUND: Obesity is a chronic disease of multiple etiologies. Alongside the traditionally recognized causes of obesity, such as genetic inheritance and behaviour/environmental factors, in recent years adenoviral infections have been considered as a possible cause of obesity. Although numerous studies involving animals confirmed a strong relation between adenoviral infection and increased predisposition to obesity, an association of AdVs with human obesity has not been established conclusively. OBJECTIVES: The main aim of this study was to establish an association between seroprevalence of adenoviruses and obesity in the Polish population. MATERIAL AND METHODS: Eighty-six subjects (both obese and non-obese) participated in this study. The presence and the concentration of typically non-specific antibodies to human adenoviruses in serum were determined using ELISA immunoassay. A serum lipid-profile was evaluated using commercial tests. RESULTS: A total of 89.5% of subjects were positive for AdV-IgG (n = 77); 10.5% (n = 9) were negative. In non-obese or lean AdV-IgG positive subjects, the parameters as: body weight (63.5 vs. 57.0, p = 0.02), WHR (0.77 vs. 0.73, p = 0.02) and waist circumference (74.5 vs. 69.0, p = 0.01) were significantly higher as AdV-IgG negative individuals. CONCLUSIONS: We showed that there is an association between the presence of type unspecific anti-AdV antibodies in the serum and elevated body weight, BMI, WHR and waist circumference in lean and non-obese subjects from the Polish population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".