Abstract 17176: Adiponectin, Metabolic Factors and CRP Changes with a Lifestyle Intervention for Weight Loss in Men and Women with Diabetes: Insights From the Look Ahead (Action for Health in Diabetes) Study
Bibliographic record
Abstract
Adiponectin (ADN) has anti-inflammatory effects. In obese diabetic persons, ADN levels are low and CRP levels are high. The associations of changes in total (T) ADN and its high molecular-weight oligomer (HMW-ADN) with CRP change (Δ) in response to an intensive lifestyle intervention for weight loss (ILI) have not been examined within a clinical trial. Little is known about the effects of metabolic changes by sex on these associations in diabetes. Methods: Using regression analyses, we examined whether T-ADN and HMW-ADN changes with a 1-year ILI would be associated with CRP Δ in a subset of 1,397 Look AHEAD participants with biomarker data, when compared to usual care, after accounting for weight, HbA1c, HDL-C and fitness changes. Look AHEAD is a randomized trial examining whether ILI, when compared to usual care, will reduce CV events in obese type 2 diabetic persons. Results: ILI resulted in greater CRP reductions and increases in T-ADN and HMW-ADN, when compared to usual care (p≤ 0.0001 for all). CRP Δ with ILI was similar in men and women (≈ -40%). The increases in T-ADN and HMW-ADN were greater in men (23.6 and 13.5%) than in women (6.2% and 14.8%), respectively. Change in T-ADN and HMW-ADN in men and in T-ADN in women were significantly associated with CRP Δ, independently of weight, HDL-C, fitness and HbA1c changes (See Table). Fitness change in men and weight change in women, but not HbA1c or HDL-C changes, were associated with CRP Δ after adjusting for T-ADN and HMW-ADN change in separate models. Conclusion: In obese diabetic subjects, T-ADN and HMW-ADN are associated with changes in CRP with differential effects in male and female participants, with weight playing a greater role in women and fitness a greater role 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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".