Is Chromium an Important Element in HIV-Positive Patients with Metabolic Abnormalities? An Hypothesis Generating Pilot Study
Bibliographic record
Abstract
BACKGROUND: Chromium plays a role in insulin sensitivity. OBJECTIVES: To compare chromium measurements in HIV-positive patients with or without (N) antiretroviral therapy (ART) to that of healthy controls (HC) and, to determine if there is any association between chromium levels and abnormalities in body composition, glucose and lipid metabolism. DESIGN: A cross-sectional study in 91 HIV patients (75 HIV-ART, 16 HIV-N) and 13 HC. Chromium was assessed in the diet, plasma, toenails, and urine. Fasting blood glycemia and lipids, lipodystrophy score and body fat were also determined. RESULTS: Dietary intake of chromium was similar in the 3 groups. Plasma and toenail Cr were lower in HIV compared to HC, but urinary chromium was similar. However, when the HIV-positive patients on ART were compared to those who were naïve to therapies, urinary excretion of chromium was higher in HIV-ART. In addition, urinary excretion of chromium significantly and positively correlated with lipodystrophy score and negatively with various parameters of metabolic syndrome. CONCLUSION: Despite a similar dietary intake, chromium levels were lower in HIV-positive patients and urinary chromium excretion correlated with some metabolic parameters. Low chromium levels may be due to increased chromium losses. These results support further studies on chromium in HIV patients.
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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 | 0.000 | 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".