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      BCG-induced trained immunity enhances acellular pertussis vaccination responses in an explorative randomized clinical trial

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          Abstract

          Acellular pertussis (aP) booster vaccines are central to pertussis immunization programs, although their effectiveness varies. The Bacille Calmette-Guérin (BCG) vaccine is a prototype inducer of trained immunity, which enhances immune responses to subsequent infections or vaccinations. While previous clinical studies have demonstrated that trained immunity can protect against heterologous infections, its effect on aP vaccines in humans is unknown. We conducted a clinical study in order to determine the immunological effects of trained immunity on pertussis vaccination. Healthy female volunteers were randomly assigned to either receive BCG followed by a booster dose of tetanus-diphteria-pertussis inactivated polio vaccine (Tdap-IPV) 3 months later (BCG-trained), BCG + Tdap-IPV concurrently, or Tdap-IPV followed by BCG 3 months later. Primary outcomes were pertussis-specific humoral, T- and B-cell responses and were quantified at baseline of Tdap-IPV vaccination and 2 weeks thereafter. As a secondary outcome in the BCG-trained cohort, ex vivo leukocyte responses were measured in response to unrelated stimuli before and after BCG vaccination. BCG vaccination 3 months prior to, but not concurrent with, Tdap-IPV improves pertussis-specific Th1-cell and humoral responses, and also increases total memory B cell responses. These responses were correlated with enhanced IL-6 and IL-1β production at the baseline of Tdap-IPV vaccination in the BCG-trained cohort. Our study demonstrates that prior BCG vaccination potentiates immune responses to pertussis vaccines and that biomarkers of trained immunity are the most reliable correlates of those responses.

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          Fitting Linear Mixed-Effects Models Usinglme4

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            Fitting Linear Mixed-Effects Models Using lme4

            Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixed- and random-effects terms. The formula and data together determine a numerical representation of the model from which the profiled deviance or the profiled REML criterion can be evaluated as a function of some of the model parameters. The appropriate criterion is optimized, using one of the constrained optimization functions in R, to provide the parameter estimates. We describe the structure of the model, the steps in evaluating the profiled deviance or REML criterion, and the structure of classes or types that represents such a model. Sufficient detail is included to allow specialization of these structures by users who wish to write functions to fit specialized linear mixed models, such as models incorporating pedigrees or smoothing splines, that are not easily expressible in the formula language used by lmer. Journal of Statistical Software, 67 (1) ISSN:1548-7660
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              Building Predictive Models inRUsing thecaretPackage

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                Author and article information

                Contributors
                dimitri.diavatopoulos@radboudumc.nl
                Journal
                NPJ Vaccines
                NPJ Vaccines
                NPJ Vaccines
                Nature Publishing Group UK (London )
                2059-0105
                17 February 2022
                17 February 2022
                2022
                : 7
                : 21
                Affiliations
                [1 ]GRID grid.10417.33, ISNI 0000 0004 0444 9382, Section Pediatric Infectious Diseases, Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, , Radboud University Medical Center, ; 6500 HB Nijmegen, The Netherlands
                [2 ]GRID grid.10417.33, ISNI 0000 0004 0444 9382, Radboud Center for Infectious Diseases, , Radboud University Medical Center, ; 6500 HB Nijmegen, The Netherlands
                [3 ]GRID grid.10417.33, ISNI 0000 0004 0444 9382, Center for Molecular and Biomolecular Informatics, , Radboud University Medical Center, ; 6526 GA Nijmegen, The Netherlands
                [4 ]GRID grid.10417.33, ISNI 0000 0004 0444 9382, Laboratory for Medical Immunology, , Radboud University Medical Center, ; 6500 HB Nijmegen, the Netherlands
                [5 ]GRID grid.10417.33, ISNI 0000 0004 0444 9382, Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), , Radboud University Medical Center, ; 6526 GA Nijmegen, The Netherlands
                [6 ]GRID grid.6203.7, ISNI 0000 0004 0417 4147, Research Center for Vitamins and Vaccines, Bandim Health Project, , Statens Serum Institut, ; DK-2300 Copenhagen, Denmark
                [7 ]GRID grid.10825.3e, ISNI 0000 0001 0728 0170, Odense Patient Data Explorative Network, , University of Southern Denmark/Odense University Hospital, ; DK-5000 Odense, Denmark
                [8 ]GRID grid.31147.30, ISNI 0000 0001 2208 0118, Centre for Infectious Disease Control, , National Institute of Public Health and the Environment, ; 3720 BA Bilthoven, The Netherlands
                [9 ]GRID grid.10388.32, ISNI 0000 0001 2240 3300, Department for Genomics & Immunoregulation, Life and Medical Sciences Institute (LIMES), , University of Bonn, ; Bonn, Germany
                Author information
                http://orcid.org/0000-0003-2753-9674
                http://orcid.org/0000-0001-6189-5491
                http://orcid.org/0000-0003-2421-6052
                http://orcid.org/0000-0001-7065-7807
                Article
                438
                10.1038/s41541-022-00438-4
                8854388
                35177621
                b331c0b5-3a95-44ec-8119-7af852a45fde
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 19 July 2021
                : 14 December 2021
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                © The Author(s) 2022

                vaccines,infectious diseases
                vaccines, infectious diseases

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