Relationship between salivary adiponectin, IGF-1, obesity and breast cancer
Bibliographic record
Abstract
Objective: The objective of this study was to determine if adiponectin and IGF-1 salivary concentrations are altered in combination with the presence of obesity and breast cancer. The null hypothesis is that there are no significant adiponectin and IGF-1 concentration alterations secondary to the presence of obesity and/or carcinoma of the breast.Methods: There were two groups of test subjects: healthy controls (n = 20) and individuals diagnosed with breast cancer (n = 20). The two cohorts were further stratified into four groups. These included subjects who are healthy and of normal BMI (n = 10); are healthy but have an elevated BMI (n = 10); have breast cancer and a normal BMI (n = 10); and have cancer and an elevated BMI (n = 10). The presence and concentration of adiponectin and IGF-1 was determined using the ELISA methodology.Results: The investigation revealed a significant increase in mean adiponectin levels in subjects with cancer compared to the controls (t = -2.57; p < .01). Individuals that were diagnosed with breast cancer and were obese exhibited the highest concentrations (F = 5.13; p < .005) of adiponectin. Adiponectin concentrations were also found to be correlated to IGF-I levels (r = 0.05; p < .001).Conclusion: Salivary adiponectin levels were significantly higher among cancer group. There were no significant differences between the cancer and control groups for IGF-I levels.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| 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".