Suppr超能文献

靶向CD4+ T细胞耗竭以改善未来的免疫治疗策略。

Targeting CD4+ T cell Exhaustion to Improve Future Immunotherapy Strategies.

作者信息

Simmons Tyler, Levy Doron

机构信息

Institute for Physical Science and Technology, University of Maryland, College Park, MD, 20742, USA.

Department of Mathematics, University of Maryland, College Park, MD, 20742, USA.

出版信息

Bull Math Biol. 2024 Dec 2;87(1):10. doi: 10.1007/s11538-024-01389-8.

Abstract

As of late, reinvigoration of exhausted T cells as a form of immunotherapy against cancer has been a promising strategy. However, inconsistent results highlight the uncertainties in the current understanding of cellular exhaustion and the need for research and better treatment design. In our previous work, we utilized mathematical modeling and analysis to recapitulate and complement the biological understanding of exhaustion in response to growing tumors. The results of this work recognized that the population size of progenitor exhausted CD8+ T cells played a larger factor in tumor control compared to cytotoxic abilities. From this notion, it was theorized that exhaustion in CD4+ T cells, which are known to help coordinate and promote the size of the CD8+ T cell response, would be a significant component of tumor control. To test this theory, this paper expands on the previous mathematical framework by incorporating CD4+ T cells and the exhaustion they face in response to tumoral settings. Analysis of this model supports our theory, indicating that targeting CD4+ T cell exhaustion would have a potentially large impact on tumor burden and should be investigated along with current immunotherapy strategies of exhausted CD8+ T cell reinvigoration. Ultimately, this work narrows the scope of future research, providing a potential target for improved therapeutic efforts.

摘要

近来,使耗竭的T细胞恢复活力作为一种抗癌免疫疗法已成为一种很有前景的策略。然而,不一致的结果凸显了当前对细胞耗竭理解的不确定性以及研究和更好治疗设计的必要性。在我们之前的工作中,我们利用数学建模和分析来概括和补充对肿瘤生长时耗竭现象的生物学理解。这项工作的结果认识到,与细胞毒性能力相比,祖细胞样耗竭CD8+ T细胞的群体大小在肿瘤控制中起更大作用。基于这一概念,理论推测已知有助于协调和促进CD8+ T细胞反应规模的CD4+ T细胞耗竭将是肿瘤控制的一个重要组成部分。为了验证这一理论,本文通过纳入CD4+ T细胞及其在肿瘤环境中面临的耗竭情况,对先前的数学框架进行了扩展。对该模型的分析支持了我们的理论,表明靶向CD4+ T细胞耗竭可能对肿瘤负荷产生重大影响,应与当前使耗竭的CD8+ T细胞恢复活力的免疫疗法策略一起进行研究。最终,这项工作缩小了未来研究的范围,为改进治疗努力提供了一个潜在靶点。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验