Translocating bacteria in SIV infection are not stochastic and preferentially express cytosine methyltransferases
Bibliographic record
Abstract
Microbial translocation is a significant contributor to chronic inflammation in people living with HIV (PLWH) and is associated with increased mortality and morbidity in individuals treated for long periods with antiretrovirals. The use of therapeutics to treat microbial translocation has yielded mixed effects, in part, because the species and mechanisms contributing to translocation in HIV remain incompletely characterized. To characterize translocating bacteria, we cultured translocators from chronically SIV-infected rhesus macaques. Proteomic profiling of these bacteria identified cytosine-specific methyltransferases as a common feature and therefore, a potential driver of translocation. Treatment of translocating bacteria with the cytosine methyltransferase inhibitor decitabine significantly impaired growth for several species in vitro. In rhesus macaques, oral treatment with decitabine led to some transient decreases in translocator taxa in the gut microbiome. These data provide mechanistic insight into bacterial translocation in lentiviral infection and explore a novel therapeutic intervention that may improve the prognosis of PLWH.
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".