Selection of the R263K and H51Y resistance substitutions for DTG causes diminished integration and explains the lack of clinically significant drug resistance to this compound
Bibliographic record
Abstract
viral load measured by Generic HIV viral load*, Biocentric.Reproducibility and repeatability were assessed.In order to test real working conditions, DBS were made at 09 Hospital for 10 patients and carried to Saint-Paul Hospital (Hanoi) where all tests were performed.In parallel, DBS were made at Saint-Paul hospital for the same patients.Resistance associated mutations were determined for 9 treated patients using ANRS protocols.All tests (viral loads and resistance mutation detection) were conducted in parallel on plasmas and DBS.Results: Viral loads were <500 copies/mL for 19 plasmas and DBS; quantification was obtained for the 65 other samples in plasmas and DBS.PBS buffer gave better results for elution than AVL buffer (Qiagen).Best results were obtained for blood and elution volumes of 80μL and 400μL respectively.Reproductibility and repeatability were better for these conditions.It was impossible to obtain RT sequences for one DBS.For two other samples, differences in resistance profile were observed between DBS and plasmas.Conclusions: Some authors suggest that whole blood proviral DNA presence could result in a viral load over-quantification.Interestingly we did not observe such an over-quantification comparatively to plasma values.However, results obtained for viral resistance detection are less satisfactory; differences may be due to proviral DNA sequencing.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".