Identification of genes related to immune enhancement caused by heterologous ChAdOx1-BNT162b2 vaccines in lymphocytes at single-cell resolution with machine learning methods

被引:7
作者
Li, Jing [1 ]
Huang, FeiMing [2 ]
Ma, QingLan [2 ]
Guo, Wei [3 ,4 ]
Feng, KaiYan [5 ]
Huang, Tao [6 ,7 ]
Cai, Yu-Dong [2 ]
机构
[1] Baicheng Normal Univ, Sch Comp Sci, Baicheng, Jilin, Peoples R China
[2] Shanghai Univ, Sch Life Sci, Shanghai, Peoples R China
[3] Shanghai Jiao Tong Univ, SJTUSM, Key Lab Stem Cell Biol, Sch Med, Shanghai, Peoples R China
[4] Chinese Acad Sci, Shanghai Inst Biol Sci SIBS, Shanghai, Peoples R China
[5] Guangdong AIB Polytech Coll, Dept Comp Sci, Guangzhou, Peoples R China
[6] Chinese Acad Sci, Univ Chinese Acad Sci, Shanghai Inst Nutr & Hlth, Biomed Big Data Ctr,CAS Key Lab Computat Biol, Shanghai, Peoples R China
[7] Chinese Acad Sci, Univ Chinese Acad Sci, Shanghai Inst Nutr & Hlth, CAS Key Lab Tissue Microenvironm & Tumor, Shanghai, Peoples R China
基金
国家重点研发计划;
关键词
ChAdOx1-BNT162b2; vaccine; immune; lymphocyte; machine learning; scRNA-seq profile; PRIME-BOOST VACCINATION; RIBOSOMAL-SUBUNIT; FEATURE-SELECTION; ACTIVATION; PROTEINS; COVID-19; HEALTH; MITOCHONDRIA; INFECTION; APOPTOSIS;
D O I
10.3389/fimmu.2023.1131051
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
The widely used ChAdOx1 nCoV-19 (ChAd) vector and BNT162b2 (BNT) mRNA vaccines have been shown to induce robust immune responses. Recent studies demonstrated that the immune responses of people who received one dose of ChAdOx1 and one dose of BNT were better than those of people who received vaccines with two homologous ChAdOx1 or two BNT doses. However, how heterologous vaccines function has not been extensively investigated. In this study, single-cell RNA sequencing data from three classes of samples: volunteers vaccinated with heterologous ChAdOx1-BNT and volunteers vaccinated with homologous ChAd-ChAd and BNT-BNT vaccinations after 7 days were divided into three types of immune cells (3654 B, 8212 CD4(+) T, and 5608 CD8(+) T cells). To identify differences in gene expression in various cell types induced by vaccines administered through different vaccination strategies, multiple advanced feature selection methods (max-relevance and min-redundancy, Monte Carlo feature selection, least absolute shrinkage and selection operator, light gradient boosting machine, and permutation feature importance) and classification algorithms (decision tree and random forest) were integrated into a computational framework. Feature selection methods were in charge of analyzing the importance of gene features, yielding multiple gene lists. These lists were fed into incremental feature selection, incorporating decision tree and random forest, to extract essential genes, classification rules and build efficient classifiers. Highly ranked genes include PLCG2, whose differential expression is important to the B cell immune pathway and is positively correlated with immune cells, such as CD8(+) T cells, and B2M, which is associated with thymic T cell differentiation. This study gave an important contribution to the mechanistic explanation of results showing the stronger immune response of a heterologous ChAdOx1-BNT vaccination schedule than two doses of either BNT or ChAdOx1, offering a theoretical foundation for vaccine modification.
引用
收藏
页数:20
相关论文
共 140 条
[41]   Comparing COVID-19 vaccines for their characteristics, efficacy and effectiveness against SARS-CoV-2 and variants of concern: a narrative review [J].
Fiolet, Thibault ;
Kherabi, Yousra ;
MacDonald, Conor-James ;
Ghosn, Jade ;
Peiffer-Smadja, Nathan .
CLINICAL MICROBIOLOGY AND INFECTION, 2022, 28 (02) :202-221
[42]  
Fisher A, 2019, J MACH LEARN RES, V20
[43]   AF2Complex predicts direct physical interactions in multimeric proteins with deep learning [J].
Gao, Mu ;
An, Davi Nakajima ;
Parks, Jerry M. ;
Skolnick, Jeffrey .
NATURE COMMUNICATIONS, 2022, 13 (01)
[44]   Mitochondrial respiratory-chain adaptations in macrophages contribute to antibacterial host defense [J].
Garaude, Johan ;
Acin-Perez, Rebeca ;
Martinez-Cano, Sarai ;
Enamorado, Michel ;
Ugolini, Matteo ;
Nistal-Villan, Estanislao ;
Hervas-Stubbs, Sandra ;
Pelegrin, Pablo ;
Sander, Leif E. ;
Enriquez, Jose A. ;
Sancho, David .
NATURE IMMUNOLOGY, 2016, 17 (09) :1037-1045
[45]  
Garg M., 2021, BIORXIV, DOI [10.1101/2021.01.24.427089, DOI 10.1101/2021.01.24.427089]
[46]   Phylogenetic-based propagation of functional annotations within the Gene Ontology consortium [J].
Gaudet, Pascale ;
Livstone, Michael S. ;
Lewis, Suzanna E. ;
Thomas, Paul D. .
BRIEFINGS IN BIOINFORMATICS, 2011, 12 (05) :449-462
[47]   Comparing two K-category assignments by a K-category correlation coefficient [J].
Gorodkin, J .
COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2004, 28 (5-6) :367-374
[48]   Heterologous ChAdOx1 nCoV-19 and BNT162b2 prime-boost vaccination elicits potent neutralizing antibody responses and T cell reactivity against prevalent SARS-CoV-2 variants [J].
Gross, Ruediger ;
Zanoni, Michelle ;
Seidel, Alina ;
Conzelmann, Carina ;
Gilg, Andrea ;
Krnavek, Daniela ;
Erdemci-Evin, Suemeyye ;
Mayer, Benjamin ;
Hoffmann, Markus ;
Poehlmann, Stefan ;
Liu, Weimin ;
Hahn, Beatrice H. ;
Beil, Alexandra ;
Kroschel, Joris ;
Jahrsdoerfer, Bernd ;
Schrezenmeier, Hubert ;
Kirchhoff, Frank ;
Muench, Jan ;
Mueller, Janis A. .
EBIOMEDICINE, 2022, 75
[49]   Covid-19 vaccines and variants of concern: A review [J].
Hassine, Ikbel Hadj .
REVIEWS IN MEDICAL VIROLOGY, 2022, 32 (04)
[50]   Safety, reactogenicity, and immunogenicity of homologous and heterologous prime-boost immunisation with ChAdOx1 nCoV-19 and BNT162b2: a prospective cohort study [J].
Hillus, David ;
Schwarz, Tatjana ;
Tober-Lau, Pinkus ;
Vanshylla, Kanika ;
Hastor, Hana ;
Thibeault, Charlotte ;
Jentzsch, Stefanie ;
Helbig, Elisa T. ;
Lippert, Lena J. ;
Tscheak, Patricia ;
Schmidt, Marie Luisa ;
Riege, Johanna ;
Solarek, Andre ;
von Kalle, Christof ;
Dang-Heine, Chantip ;
Gruell, Henning ;
Kopankiewicz, Piotr ;
Suttorp, Norbert ;
Drosten, Christian ;
Bias, Harald ;
Seybold, Joachim ;
Klein, Florian ;
Kurth, Florian ;
Corman, Victor Max ;
Sander, Leif Erik .
LANCET RESPIRATORY MEDICINE, 2021, 9 (11) :1255-1265