Inflammatory profile associated with insulin resistance in non-overweight versus overweight people living with HIV in Pune, Western India
Bibliographic record
Abstract
BACKGROUND: People living with HIV have greater diabetes (T2DM) than the general population despite lower prevalence of overweight/obesity. Both insulin resistance (IR), a T2DM precursor, and HIV are independently associated with chronic inflammation. Inflammation may be a pathophysiological link explaining IR in people living with HIV who are not overweight but is not well understood. AIMS: To study the association between inflammation and IR in non-overweight and overweight people living with HIV. METHODS: . We used modified Poisson regression to evaluate the association between inflammatory markers and IR in overweight and non-overweight. RESULTS: Of 288 participants, 66% (n = 189) were non-overweight. Among non-overweight, prevalence of IR was 34% (n = 65). Each doubling of MCP-1 and leptin was associated with IR on univariate analysis (prevalence ratio (PR) 1.29, 95%CI 1.07-1.53, p < 0.01; PR 1.13 95%CI 1.01-1.26, p = 0.03). Leptin remained associated with IR after adjustment for age, MCP-1, gender, cholesterol, and waist circumference (adjusted PR 1.20 95%CI 1.06-1.36, p < 0.01). Among overweight, prevalence of IR was 69% and no markers were associated with IR. CONCLUSIONS: One in 3 non-overweight people living with HIV in India with controlled viremia have IR. Leptin was associated with IR among non-overweight people living with HIV and may provide insight into the pathophysiology of metabolic disease in this 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 | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".