Abstract P032: Adiponectin is Significantly Associated with NT-pro BNP Levels: The Multi-Ethnic Study of Atherosclerosis
Bibliographic record
Abstract
Background: Increasing adiposity results in an increase in intravascular volume, while natriuretic peptides increase in response to pressure and volume overload. Adiponectin and leptin are cytokines released from adipose tissue (adipokines) that have purportedly opposite associations with CVD and measures of left ventricular structure and function. Methods: Subjects were 1970 individuals enrolled in the Multi-Ethnic Study of Atherosclerosis who were without clinical CVD at baseline and evaluated by extensive survey information, relevant physical measurements and fasting venous blood that was analyzed for NT-pro BNP (proBNP) and the adipokines adiponectin and leptin. proBNP was assayed from two different study visits about 4 years apart. Results: At baseline, the mean age was 64.8 years and 48% were female. Forty-two percent were White, 26% Hispanic American, 18% African American and 14% Chinese American. Median values for adiponectin, leptin and proBNP were 17.3 μg/ml, 13.1 ng/ml and 66.7 pg/ml, respectively, while the median change in proBNP was 11.6 pg/ml. With adjustment for traditional CVD risk factors, adiposity, renin, aldosterone and LV mass and volume, a 1-SD increment in adiponectin was associated with a 13.7 pg/ml higher proBNP level (p < 0.01), while, compared to the 1st quartile of adiponectin, the 2nd, 3rd and 4th quartiles were associated with 28, 45 and 67% higher proBNP levels (p < 0.01 for all). For changes in proBNP over the follow-up period, and after multivariable adjustment including baseline proBNP, a 1-SD increment in adiponectin was associated with a 25 pg/ml increase in proBNP (p < 0.01), while those in the 2nd, 3rd and 4th quartiles of adiponectin were associated increases of 5, 28 and 65 pg/ml (p = 0.74, 0.09 and < 0.01, respectively). There were no significant multiplicative interactions by race or obesity status. However, there was a significant interaction between adiponectin and gender for proBNP, such that the associations detailed above were significantly stronger in men. Leptin was not associated with proBNP (data now shown). Conclusions: Higher adiponectin, but not leptin, is significantly associated with higher levels of proBNP, as well as significant longitudinal increases in proBNP. The findings appear to be stronger in men.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".