Cytoplasmic Distribution of HIV-1 Tat Sensitizes Jurkat T cells to Sulphamethoxazole-Hydroxylamine Induced Toxicity
Bibliographic record
Abstract
Background: One medication commonly used by HIV-1-infected individuals is the antimicrobial sulphamethoxazole (SMX), which is used in the treatment and prophylaxis of pneumocystis pneumonia. However, SMX is responsible for a very high incidence of hypersensitivity adverse drug reactions (ADRs) in the HIV-1 population. While the pathophysiology of ADRs in general is unknown, sulphamethoxazole-mediated ADRs have been linked to its reactive metabolite sulphamethoxazole-hydroxylamine (SMX-HA). Our previous work has shown that increased expression of the HIV-1 Tat protein in T cells correlated with increased apoptosis after incubation with SMX-HA. In this study we sought to determine the region of the Tat protein responsible for this effect and the mechanism by which Tat contributed to SMX-HA mediated apoptosis.\nMethods: We established Jurkat T and Cos 7 cell lines that stably expressed full-length Tat (Tat101) and deletion mutants (Tat86, Tat72, Tat48 and Tat∆). These cell lines were then incubated with SMX-HA and assayed for cell viability and production of reactive oxygen species (ROS). We further used confocal microscopy to assess the intracellular distribution of the Tat proteins and to determine if changes in the expression and/or localization of key cytoskeleton proteins contributed to Tat-mediated apoptosis after SMX-HA treatment.\nResults: Deletion of regions of Tat that lead to increased cytoplasmic accumulation significantly contributed to increased cell death in the presence of SMX-HA. The increased cell death did not require induction of ROS. Quantitative analysis also showed that the Tat-expressing cell lines had significantly lower levels of β-actin and α-tubulin present both before and after treatment with SMX-HA. Increased cytoplasmic localization of Tat correlated with greater disturbances in the distribution of actin filaments.\nConclusion: The presence of cytoplasmic Tat in T and epithelial cell lines increases their sensitivity to SMX-HA induced cell death, an effect mediated by the first 48 amino acids of TAT.
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 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) | 0.003 | 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".