Visceral fat reduction with tesamorelin is associated with improved liver enzymes in HIV
Bibliographic record
Abstract
OBJECTIVE: Tesamorelin reduces visceral adipose tissue (VAT) in HIV. We investigated whether reductions in VAT with tesamorelin are associated with changes in alanine aminotransferase (ALT) and aspartate aminotransferase (AST). DESIGN AND METHODS: We utilized data from two multicenter Phase III trials of tesamorelin among 806 HIV-infected patients with abdominal obesity. These studies showed that the majority of patients treated with tesamorelin are 'responders', defined a priori by the Food and Drug Administration as achieving at least 8% reduction in VAT. In the current analysis, we sought to examine the impact of VAT reduction on ALT and AST among patients participating in the Phase III trials with baseline elevated ALT or AST. Within this group, we compared changes in ALT and AST in VAT responders vs. nonresponders after 26 weeks of treatment, and then assessed the effects of drug discontinuation on these endpoints over a subsequent 26-week period. RESULTS: At baseline, VAT was positively associated with ALT (P = 0.01). In study participants assigned to tesamorelin with baseline ALT or AST more than 30 U/l, VAT responders experienced greater reductions in ALT (-8.9 ± 22.6 vs. 1.4 ± 34.7 U/l, P = 0.004) and AST (-3.8 ± 12.9 vs. 0.4 ± 22.4 U/l, P = 0.04) compared with nonresponders over 26 weeks. This improvement among VAT responders persisted over 52 weeks even in those switched to placebo despite a partial reaccumulation of VAT. CONCLUSION: A clinically significant VAT reduction with tesamorelin was associated with improved liver enzymes among HIV-infected patients with abdominal obesity and elevated baseline transaminases.
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 | 0.000 |
| 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".