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2025
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| Online-Zugang: | https://doi.org/10.5281/zenodo.15537526 |
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| _version_ | 1866901725451911168 |
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| author | Perez de la Cruz, Jose |
| author_facet | Perez de la Cruz, Jose |
| contents | <p>This white paper presents a mathematical model projecting the progressive reduction of the latent HIV reservoir under a cyclic, low-toxicity latency reversal protocol using oral Resveratrol and N-acetylcysteine (NAC), administered alongside ART. The study simulates multiple treatment cycles and estimates functional cure probability based on reservoir decay thresholds.</p> <p>The modeling framework explores reservoir dynamics across varying per-cycle reduction rates and quantifies the relationship between residual reservoir size and the theoretical probability of post-treatment viral control. This report includes full methodological assumptions, simulation outputs, visualizations, and complete source code (Appendix A) for independent reproduction or adaptation.</p> <p>This manuscript builds upon an earlier white paper published by the author on Zenodo (DOI: <a href="https://doi.org/10.5281/zenodo.15390536">10.5281/zenodo.15390536</a>) and is intended to support early-stage HIV cure research, protocol design, and physiological modeling development. The author encourages open scientific discussion and future in vitro or in vivo validation.</p> <p>The document includes:</p> <ul> <li>Mathematical modeling assumptions</li> <li>Cycle-based simulation outputs</li> <li>Functional cure probability estimates</li> <li>Python code (Appendix A)</li> <li>Visual figures (in-line)</li> <li>A full reference list</li> </ul> <p>This version has not undergone peer review and is shared openly under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15537526 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Projected Reservoir Reduction and Functional Cure Probability Under a Cyclic Resveratrol + NAC Protocol for HIV Latency Reversal Perez de la Cruz, Jose HIV latency HIV Functional cure Latency reversal agents Resveratrol N-acetylcysteine NAC Reservoir modeling HIV cure strategies <p>This white paper presents a mathematical model projecting the progressive reduction of the latent HIV reservoir under a cyclic, low-toxicity latency reversal protocol using oral Resveratrol and N-acetylcysteine (NAC), administered alongside ART. The study simulates multiple treatment cycles and estimates functional cure probability based on reservoir decay thresholds.</p> <p>The modeling framework explores reservoir dynamics across varying per-cycle reduction rates and quantifies the relationship between residual reservoir size and the theoretical probability of post-treatment viral control. This report includes full methodological assumptions, simulation outputs, visualizations, and complete source code (Appendix A) for independent reproduction or adaptation.</p> <p>This manuscript builds upon an earlier white paper published by the author on Zenodo (DOI: <a href="https://doi.org/10.5281/zenodo.15390536">10.5281/zenodo.15390536</a>) and is intended to support early-stage HIV cure research, protocol design, and physiological modeling development. The author encourages open scientific discussion and future in vitro or in vivo validation.</p> <p>The document includes:</p> <ul> <li>Mathematical modeling assumptions</li> <li>Cycle-based simulation outputs</li> <li>Functional cure probability estimates</li> <li>Python code (Appendix A)</li> <li>Visual figures (in-line)</li> <li>A full reference list</li> </ul> <p>This version has not undergone peer review and is shared openly under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.</p> |
| title | Projected Reservoir Reduction and Functional Cure Probability Under a Cyclic Resveratrol + NAC Protocol for HIV Latency Reversal |
| topic | HIV latency HIV Functional cure Latency reversal agents Resveratrol N-acetylcysteine NAC Reservoir modeling HIV cure strategies |
| url | https://doi.org/10.5281/zenodo.15537526 |