Potential role of alveolar macrophages in HIV persistence and lung disease
Bibliographic record
Abstract
While antiretroviral therapy (ART) has revolutionized the management of human immunodeficiency virus (HIV) and has enabled people living with HIV (PLWH) to achieve near-normal life expectancies, an HIV cure remains elusive due to the presence of HIV reservoirs. Furthermore, compared with individuals in the general population, PLWH support a higher burden of multimorbidity, including pulmonary diseases of both an infectious and non-infection nature, which may be a consequence of the formation of HIV reservoirs. Their gut, lymph nodes, brain, testes and lungs constitute important anatomic sites for the reservoirs. While CD4+ T cells, and particularly memory CD4+ T cells, are the best characterized cellular HIV reservoirs, tissue resident macrophages (TRM) and alveolar macrophages (AM) also harbor HIV infection. AM are the most abundant cells in bronchoalveolar (BAL) fluid in healthy conditions, and act as sentinels in the alveolar space by patrolling and clearing debris, microbes and surfactant recycling. Long-lived tissue-resident AM of embryonic origin have the capacity of self-renewal without replenishment from peripheral monocytes. As in other tissues, close cell-cell contacts in lungs also provide a milieu conducive for cell-to-cell spread of HIV infection and establishment of reservoirs. As lungs are in constant exposure to antigens from the external environment, this situation contributes to pro-inflammatory phenotype rendering pulmonary immune cells exhausted and senescent-an environment facilitating HIV persistence. Factors such as tobacco and e-cigarette smoking, lung microbiome dysbiosis and respiratory coinfections further drive antigenic stimulation and HIV replication. HIV replication, in turn, contributes to ongoing inflammation and clonal expansion. Herein, the potential role of AM in HIV persistence is discussed. Furthermore, their contribution towards pulmonary inflammation and immune dysregulation, which may in turn render PLWH susceptible to chronic lung disease, despite ART, is explored. Finally, strategies to eliminate HIV-infected AM are discussed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".