Pleiotropic Roles of Cytokines in HIV-1 Pathogenesis and Control: A Literature Review
Bibliographic record
Abstract
Introduction: Human Immunodeficiency Virus 1 (HIV-1) is a retrovirus that infects human immune cells, primarily CD4+ T cells and macrophages. During HIV-1 disease progression, infected individuals have declining CD4+ T cell counts and increasing HIV-1 RNA, indicative of virus replication. Numerous studies have identified important roles for cytokines in immune responses during the course of HIV-1 infection. Cytokines are small molecular weight proteins that communicate signals between a broad range of cells in the immune system. This review aims to highlight a key subset of cytokines that bear potential as targets for the prevention and treatment of HIV-1 infection. Methods: We conducted a literature review categorizing pertinent cytokines on the basis of four criteria: correlations with HIV-1 replication, impact on host innate immune cells, characteristic expression in elite controllers, and therapeutic applications. Results: We identified several cytokines in the interleukin (IL) family and the C-C and C-X-C chemokine families with important roles in HIV-1 control. Indeed, the expression of many cytokines was correlated with reduced HIV-1 replication (e.g. IL-21, IL-32, IL-27). Several cytokines directly impact cells of the innate immune system in their HIV-1 control mechanisms. Among many, IL-7 and IL-15 are able to enhance natural killer cell function, while IL-27 enhances macrophage resistance to HIV-1 infection. Elite controllers, individuals who have suppressed HIV-1 replication and preserved CD4+ T cell levels without exogenous antiviral drug treatment, express a uniquely characteristic array of chemokines. Namely, CCL14, CCL27, CCL21, XCL1 and CXCL12 are upregulated in elite controllers compared to non-controllers. Finally, considering the diversity and pleiotropic roles of cytokines during HIV-1 infection, many show potential for inclusion in therapeutic designs. Conclusion: Herein, we have highlighted the antiviral roles of several cytokines, demonstrating that many cytokines are key regulators of HIV-1 replication. This work provides a focus for future research aiming to better understand HIV pathogenesis and informs novel preventative and therapeutic designs.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".