BACKGROUND To date, only limited data are available on the mechanisms of protection against colonization with Bordetella pertussis in humans.METHODS In this study, the cellular responses to B. pertussis challenge were monitored longitudinally using high-dimensional EuroFlow-based flow cytometry, allowing quantitative detection of more than 250 different immune cell subsets in the blood of 15 healthy donors.RESULTS Participants who were protected against colonization showed different early cellular responses compared with colonized participants. Especially prominent for colonization-protected participants were the early expansion of CD36– nonclassical monocytes on day 1 (D1), natural killer cells (D3), follicular T helper cells (D1–D3), and plasma cells (D3). Plasma cell expansion on D3 correlated negatively with the CFU load on D7 and D9 after challenge. Increased plasma cell maturation on D11–D14 was found in participants with seroconversion.CONCLUSION These early cellular immune responses following experimental infection can now be further characterized and potentially linked to an efficient mucosal immune response, preventing colonization. Ultimately, their presence may be used to evaluate whether new B. pertussis vaccine candidates are protective against B. pertussis colonization, e.g., by bacterial challenge after vaccination.TRIAL REGISTRATION ClinicalTrials.gov NCT03751514.FUNDING Innovative Medicines Initiative 2 Joint Undertaking and the EuroFlow Consortium.
Annieck M. Diks, Hans de Graaf, Cristina Teodosio, Rick J. Groenland, Bas de Mooij, Muktar Ibrahim, Alison R. Hill, Robert C. Read, Jacques J.M. van Dongen, Magdalena A. Berkowska, on behalf of the IMI-2 PERISCOPE Consortium
Usage data is cumulative from May 2023 through May 2024.
Usage | JCI | PMC |
---|---|---|
Text version | 755 | 127 |
241 | 117 | |
Figure | 415 | 0 |
Table | 63 | 0 |
Supplemental data | 85 | 11 |
Citation downloads | 30 | 0 |
Totals | 1,589 | 255 |
Total Views | 1,844 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.