Benhamouda Nadine, Besbes Anissa, Bauer Rebecca, Mabrouk Nesrine, Gadouas Gauthier, Desaint Corinne, Chevrier Lucie, Lefebvre Maeva, Radenne Anne, Roelens Marie, Parfait Béatrice, Weiskopf Daniela, Sette Alessandro, Gruel Nadège, Courbebaisse Marie, Appay Victor, Paul Stephane, Gorochov Guy, Ropers Jacques, Lebbah Said, Lelievre Jean-Daniel, Johannes Ludger, Ulmer Jonathan, Lebeaux David, Friedlander Gerard, De Lamballerie Xavier, Ravel Patrice, Kieny Marie Paule, Batteux Fréderic, Durier Christine, Launay Odile, Tartour Eric
Department of Immunology, Hôpital Européen Georges-Pompidou, Hôpital Necker Department of Immunology, Paris, France.
Université Paris Cité, INSERM U970, PARCC, Department of Immunology, Hôpital Européen Georges-Pompidou, Hôpital Necker Department of Immunology, Paris, France.
iScience. 2024 Jul 2;27(8):110441. doi: 10.1016/j.isci.2024.110441. eCollection 2024 Aug 16.
Coordinating immune responses - humoral and cellular - is vital for protection against severe Covid-19. Our study evaluates a multicytokine CD4T cell signature's predictive for post-vaccinal serological and CD8T cell responses. A cytokine signature composed of four cytokines (IL-2, TNF-α, IP10, IL-9) excluding IFN-γ, and generated through machine learning, effectively predicted the CD8T cell response following mRNA-1273 or BNT162b2 vaccine administration. Its applicability extends to murine vaccination models, encompassing diverse immunization routes (such as intranasal) and vaccine platforms (including adjuvanted proteins). Notably, we found correlation between CD4T lymphocyte-produced IL-21 and the humoral response. Consequently, we propose a test that offers a rapid overview of integrated immune responses. This approach holds particular relevance for scenarios involving immunocompromised patients because they often have low cell counts (lymphopenia) or pandemics. This study also underscores the pivotal role of CD4T cells during a vaccine response and highlights their value in vaccine immunomonitoring.
协调体液免疫和细胞免疫反应对于预防重症新冠病毒疾病至关重要。我们的研究评估了一种多细胞因子CD4T细胞特征对疫苗接种后血清学和CD8T细胞反应的预测作用。通过机器学习生成的由四种细胞因子(IL-2、TNF-α、IP10、IL-9)组成的细胞因子特征,不包括IFN-γ,有效地预测了接种mRNA-1273或BNT162b2疫苗后的CD8T细胞反应。其适用性扩展到小鼠疫苗接种模型,包括多种免疫途径(如鼻内接种)和疫苗平台(包括佐剂蛋白)。值得注意的是,我们发现CD4T淋巴细胞产生的IL-21与体液反应之间存在相关性。因此,我们提出了一种能够快速概述综合免疫反应的检测方法。这种方法对于免疫功能低下的患者(因为他们通常细胞计数低(淋巴细胞减少))或大流行的情况尤为重要。这项研究还强调了CD4T细胞在疫苗反应中的关键作用,并突出了它们在疫苗免疫监测中的价值。