Increased small intestinal and colonic permeability, and loss of villus tip surface area, correlates with microbial translocation and immune activation in HIV (71.5)
Bibliographic record
Abstract
Abstract As early diagnosis and viremic control of HIV becomes more prevalent, the clinical focus has turned to preventing co-morbidities that include cardiovascular, hepatic, neurological, and metabolic abnormalities and immune exhaustion. Immune activation, as measured by leukocyte activation and soluble inflammatory mediators in circulation, is increased in HIV patients, even those on effective HAART therapy, and is a better predictor of disease progression and of all-cause mortality than viral load. Intestinal permeability, which often leads to microbial products in the bloodstream, may provide a cause for chronic inflammation in HIV patients. Here, we provide corroborating evidence of small intestinal and colonic permeability in a cohort of HIV patients with increased LPS, determined by measuring the excretion of various saccharides. Levels of lactulose and mannitol (small intestinal permeability) and sucralose (colonic permeability) were elevated (p=0.0014 and p<0.001, respectively) in the urine of HIV patients, independent of HAART status. Further analysis of the saccharide excretion profile revealed that HIV patients have a loss of villus tip surface area in the small intestine as compared to controls (p<0.001). These results were correlated to markers of bowel damage and microbial translocation (LPS Binding Protein, EndoCAb, sCD14, I-FABP) and immune activation (CRP, IL-6, IFN-α) and to clinical parameters in hopes of identifying key risk factors for disease progression.
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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 | 0.000 | 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) | 0.002 | 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".