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朗格汉斯细胞在人乳头瘤病毒感染动态变化中作用的数学建模

Mathematical modelling of the role of Langerhans cells in the dynamics of HPV infection.

作者信息

Basir Fahad Al, Blyuss Konstantin B, Raezah Aeshah A, Rahman Bootan, Alsakaji Hebatallah J

机构信息

Department of Mathematics, Asansol Girls' College, Asansol-4, Asansol, West Bengal, 713304, India.

Department of Mathematics, University of Sussex, Falmer, Brighton, BN1 9QH, UK.

出版信息

Sci Rep. 2025 May 20;15(1):17505. doi: 10.1038/s41598-025-02608-5.

Abstract

Cervical cancer is the second most frequent gynaecological malignancy in the world. Human papillomavirus (HPV) infection is the primary etiologic agent of cervical cancer. However, HPV alone is not sufficient for tumor progression. The clinical display of HPV infection also depends on the host's immune status. Both innate and adaptive immunity recognize and fight foreign pathogens inside the body, but sometimes they prove ineffective against HPV. HPV has several mechanisms for evading the immune system. After infection, HPV multiplies in keratinocytes, which are distant from immune centers and have a naturally short lifespan. The naturally short life cycle of the keratinocyte removes the need for the virus to destroy the cells, which would trigger inflammation and immune response. In addition, HPV downregulates the expression of interferon genes. Despite viral immune evasion, the immune system effectively resists most HPV infections and mounts strong localized cell mediated immune responses. Despite significant progress in observations and clinical practice, many aspects of the complex interactions between HPV and the human immune system remain not fully understood. Langerhans cells (LCs) are known to play a critical role in producing innate and adaptive cellular immune responses against HPV infection. In this paper, we propose and analyze a mathematical of HPV infection with particular focus on the role of Langerhans cells in facilitating immune response, as well as on the treatment of HPV infection by induction of the appropriate virus-specific immune responses in patients. We determine equilibria of the model, analyse their stability, and derive the basic reproduction number. Sensitivity analysis is performed to investigate the effects of individual parameters on system dynamics. We explore the impulsive therapy for controlling HPV infection, and discuss how these findings may be helpful in development of immunotherapy against HPV infection.

摘要

宫颈癌是全球第二常见的妇科恶性肿瘤。人乳头瘤病毒(HPV)感染是宫颈癌的主要病因。然而,仅HPV不足以导致肿瘤进展。HPV感染的临床表现还取决于宿主的免疫状态。先天性免疫和适应性免疫都能识别并对抗体内的外来病原体,但有时它们对HPV无效。HPV有多种逃避免疫系统的机制。感染后,HPV在角质形成细胞中繁殖,角质形成细胞远离免疫中心且自然寿命较短。角质形成细胞自然较短的生命周期使病毒无需破坏细胞,而破坏细胞会引发炎症和免疫反应。此外,HPV下调干扰素基因的表达。尽管病毒能逃避免疫,但免疫系统能有效抵抗大多数HPV感染并引发强烈的局部细胞介导免疫反应。尽管在观察和临床实践方面取得了重大进展,但HPV与人体免疫系统之间复杂相互作用的许多方面仍未完全了解。已知朗格汉斯细胞(LCs)在产生针对HPV感染的先天性和适应性细胞免疫反应中起关键作用。在本文中,我们提出并分析了一个HPV感染的数学模型,特别关注朗格汉斯细胞在促进免疫反应中的作用,以及通过诱导患者适当的病毒特异性免疫反应来治疗HPV感染。我们确定了模型的平衡点,分析了它们的稳定性,并推导了基本再生数。进行敏感性分析以研究各个参数对系统动态的影响。我们探索了控制HPV感染的脉冲疗法,并讨论了这些发现如何有助于开发针对HPV感染的免疫疗法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e02/12092782/432181cfa123/41598_2025_2608_Fig1_HTML.jpg

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