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人类对多种疫苗抗体反应持久性的预测因素和机制的系统疫苗学分析。

System vaccinology analysis of predictors and mechanisms of antibody response durability to multiple vaccines in humans.

作者信息

Cortese Mario, Hagan Thomas, Rouphael Nadine, Wu Sheng-Yang, Xie Xia, Kazmin Dmitri, Wimmers Florian, Gupta Shakti, van der Most Robbert, Coccia Margherita, Aranuchalam Prabhu S, Nakaya Helder I, Wang Yating, Coyle Elizabeth, Horiuchi Shu, Wu Hanchih, Bower Mary, Mehta Aneesh, Gunthel Clifford, Bosinger Steve E, Kotliarov Yuri, Cheung Foo, Schwartzberg Pamela L, Germain Ronald N, Tsang John, Li Shuzhao, Albrecht Randy, Ueno Hideki, Subramaniam Shankar, Mulligan Mark J, Khurana Surender, Golding Hana, Pulendran Bali

机构信息

Institute for Immunity, Transplantation and Infection, School of Medicine, Stanford University, Stanford, CA, USA.

Division of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.

出版信息

Nat Immunol. 2025 Jan;26(1):116-130. doi: 10.1038/s41590-024-02036-z. Epub 2025 Jan 2.

Abstract

We performed a systems vaccinology analysis to investigate immune responses in humans to an H5N1 influenza vaccine, with and without the AS03 adjuvant, to identify factors influencing antibody response magnitude and durability. Our findings revealed a platelet and adhesion-related blood transcriptional signature on day 7 that predicted the longevity of the antibody response, suggesting a potential role for platelets in modulating antibody response durability. As platelets originate from megakaryocytes, we explored the effect of thrombopoietin (TPO)-mediated megakaryocyte activation on antibody response longevity. We found that TPO administration enhanced the durability of vaccine-induced antibody responses. TPO-activated megakaryocytes also promoted survival of human bone-marrow plasma cells through integrin β1/β2-mediated cell-cell interactions, along with survival factors APRIL and the MIF-CD74 axis. Using machine learning, we developed a classifier based on this platelet-associated signature, which predicted antibody response longevity across six vaccines from seven independent trials, highlighting a conserved mechanism for vaccine durability.

摘要

我们进行了一项系统疫苗学分析,以研究人类对含和不含AS03佐剂的H5N1流感疫苗的免疫反应,从而确定影响抗体反应强度和持久性的因素。我们的研究结果显示,在第7天出现了一种与血小板和黏附相关的血液转录特征,该特征可预测抗体反应的持久性,这表明血小板在调节抗体反应持久性方面可能发挥作用。由于血小板起源于巨核细胞,我们探讨了血小板生成素(TPO)介导的巨核细胞激活对抗体反应持久性的影响。我们发现,给予TPO可提高疫苗诱导的抗体反应的持久性。TPO激活的巨核细胞还通过整合素β1/β2介导的细胞间相互作用以及生存因子增殖诱导配体(APRIL)和巨噬细胞移动抑制因子- CD74轴促进人骨髓浆细胞的存活。利用机器学习,我们基于这种与血小板相关的特征开发了一种分类器,该分类器可预测来自七项独立试验的六种疫苗的抗体反应持久性,突出了疫苗持久性的一种保守机制。

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