Probiotic Yogurt Consumption is Associated With an Increase of CD4 Count Among People Living With HIV/AIDS
Bibliographic record
Abstract
AIM: To evaluate the long term effect of yogurt supplemented with Lactobacillus rhamnosus Fiti on the immune function (CD4 count) of people living with HIV/AIDS. BACKGROUND: Gastrointestinal infections and the leakage of microbial products from the gut have a profound impact on the deterioration of the immune system among people living with HIV/AIDS. Among persons not infected with the virus, probiotics can prevent gastrointestinal infections and restore an effective gut barrier, suggesting they might have a beneficial effect on the immune function of people living with HIV/AIDS. STUDY: We carried out an observational retrospective study over a period of 3 years, with longitudinal comparison of the CD4 count within participants (n=68) before and during probiotic yogurt consumption, and compared with a control group of participants not consuming the yogurt (n=82). RESULTS: Among the yogurt consumers before use and the nonconsumers, an average increase in CD4 count was seen of 0.13 cells/μL/day (95% CI; 0.07-0.20, P=<0.001). After commencing consumption, yogurt consumers experienced an additional increase of 0.28 cells/μL/day (95% CI; 0.10-0.46, P=0.003). When adjusting for length of time using antiretroviral medication, the additional increase explained by yogurt consumption remained 0.17 cells/μL/day (95% CI; 0.01-0.34, P=0.04). Treatment with antiretroviral medication was associated with an increase of 0.27 cells/μL/day (95% CI; 0.17-0.38, P=<0.001). CONCLUSION: The introduction of probiotic yogurt, made by local women in a low-income community in Tanzania, was significantly associated with an increase in CD4 count among consumers living with HIV.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".