| Literature DB >> 30886619 |
Xi Zen Yap1,2, Rachel J Lundie1,3, James G Beeson1,2,4, Meredith O'Keeffe1,3.
Abstract
Malaria remains a serious threat to global health. Sustained malaria control and, eventually, eradication will only be achieved with a broadly effective malaria vaccine. Yet a fundamental lack of knowledge about how antimalarial immunity is acquired has hindered vaccine development efforts to date. Understanding how malaria-causing parasites modulate the host immune system, specifically dendritic cells (DCs), key initiators of adaptive and vaccine antigen-based immune responses, is vital for effective vaccine design. This review comprehensively summarizes how exposure to Plasmodium spp. impacts human DC function in vivo and in vitro. We have highlighted the heterogeneity of the data observed in these studies, compared and critiqued the models used to generate our current understanding of DC function in malaria, and examined the mechanisms by which Plasmodium spp. mediate these effects. This review highlights potential research directions which could lead to improved efficacy of existing vaccines, and outlines novel targets for next-generation vaccine strategies to target malaria.Entities:
Keywords: Plasmodium falciparum; Plasmodium vivax; dendritic cells; malaria; vaccines
Year: 2019 PMID: 30886619 PMCID: PMC6409297 DOI: 10.3389/fimmu.2019.00357
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Figure 1Dendritic cells, located throughout the body at various stages of maturity, interact with all stages of the malaria parasite life cycle within the human host. The Plasmodium life cycle encompasses multiple life stages across a range of tissues. The asexual life cycle in the human host begins when mosquitoes inject sporozoites, the highly motile infectious life stage, into the host's skin. The sporozoite migrates to the liver, where it traverses multiple host cells before entering into an exoerythrocytic form. The exoerythrocytic form matures into a multinucleate schizont, which releases merozoites into the bloodstream upon lysis. Merozoites infect host red blood cells and mature into intraerythrocytic life stages known as trophozoites, which are highly metabolically active. After DNA replication the trophozoite will become a blood-stage schizont, which will lyse and release daughter merozoites into the bloodstream, resuming the process. Instead of becoming trophozoites, a fraction of merozoites will instead differentiate into sexual stages known as gametocytes, which sequester in the bone marrow. Only at the end of their maturation process do gametocytes re-enter the bloodstream, where they are taken up by mosquito bite to commence sexual replication in the mosquito host and continue the cycle.
Figure 2Dendritic cells link innate and adaptive arms of the immune system. (A) Uptake of pathogens and recognition of pathogen-associated “danger signals” by pattern recognition receptors (PRRs) triggers dramatic morphological and functional changes in DCs, termed maturation. These changes involve the formation of dendrites, down-regulation of antigen uptake, and redistribution of major histocompatibility complex (MHC) molecules from intracellular endocytic compartments to the cell surface. (B) Mature DCs migrate to draining lymph nodes and present information about the invading pathogen in the form of processed peptides loaded onto MHC molecules to naïve T cells. Upregulation of MHC and co-stimulation molecules enables activated DCs to initiate adaptive T and B cell immune responses, the nature of which are determined by the cytokine milieu. This initiates the cascade to an adaptive immune response, leading to clearance of infected cells, and extracellular pathogens. Activated mature DCs also secrete interferons and proinflammatory cytokines that recruit circulating innate immune cells to provide rapid defense against infection.
In vivo exposure to Plasmodium species modulates human DC responses.
| Urban et al. ( | Children | Holoendemic (Kenya) | HLA-DR+, CD83+ | Decreased: | Increased: | Decreased DC numbers |
| Pichyangkul et al. ( | Hospitalized adults | Mesoendemic (Thailand) | cDC (HLA-DR+CD11c+) | Increased: | Reduced numbers of circulating pDC | |
| Breitling et al. ( | Pregnant women | Holoendemic (Gabon) | cDC (BDCA1+) | No change: | Decrease in overall DC numbers | |
| Urban et al. ( | Children | Holoendemic (Kenya) | cDC (CD11c+BDCA1+, CD11c+BDCA3+) | Decreased: | Increased: TNF-α | Elevated number of BDCA-3+ cDC1 in circulating blood during and after malaria infection |
| Diallo et al. ( | Pregnant women | Hypoendemic (Senegal) | cDC (CD11c+CD123lo) | No change: | Increased: | Women who have had malaria have higher percentages of less differentiated DC |
| Loharungsikul et al. ( | Hospitalized adults | Mesoendemic (Thailand) | cDC (BDCA1+, BDCA3+) | Increased: | Decreased fraction of TLR2+ cDC in peripheral blood during infection | |
| Fievet et al. ( | Pregnant women | Mesoendemic (Benin) | cDC (BDCA1+, BDCA3+) | Increased: | No change: | Increased percentage of HLA-DR positive BDCA2+ cells during infection |
| Gonçalves et al. ( | Clinic admission | Hypo- to mesoendemic (Brazil) | cDC (HLA-DR+CD11c+) | No change: | Increased: | Decreased cDC number |
| Arama et al. ( | Children | Mesoendemic (Mali) | cDC (HLA-DR+BDCA1+, HLA-DR+BDCA3+, HLA-DR+CD16+) | Decreased: | Decreased: | Increased BDCA-2+ pDC and BDCA-3+ cDC1 populations in peripheral blood |
| Ibitokou et al. ( | Pregnant women | Mesoendemic (Benin) | cDC (HLA-DR+BDCA1+) | Decreased: | Decreased pDC and cDC fraction in peripheral blood | |
| Guermonprez et al. ( | Children | Holoendemic (Kenya) | cDC (CD11c+BDCA1+, CD11c+BDCA3+) | Increased: | Increased BDCA-3+ cDC1 fraction in peripheral blood | |
| Pinzon-Charry et al. ( | Infected adults | Holoendemic (Papua) | cDC (HLA-DR+CD11c+) | Decreased: | Increased: | Decreased pDC and cDC fractions |
| Fievet et al. ( | Pregnant women | Mesoendemic (Benin) | cDC (BDCA1+, BDCA3+) | No change: | Increased: | Increased production of proinflammatory cytokines by women ≤ 25 years independent of gravidity |
| Götz et al. ( | Adults | Holoendemic (Mali) | cDC (HLA-DR+BDCA1+, HLA-DR+BDCA3+, HLA-DR+CD16+) | Increased: | Increased: | |
| Jangpatarapongsa et al. ( | Hospitalized adults | Mesoendemic (Thailand) | cDC (HLA-DR+CD11c+) | Increased: | Decreased fraction of cDC and pDC during infection | |
| Gonçalves et al. ( | Clinic admission | Hypo- to mesoendemic (Brazil) | cDC (HLA-DR+CD11c+) | Increased: | Increased pDC fraction | |
| Pinzon-Charry et al. ( | Infected adults | Holoendemic (Papua) | cDC (HLA-DR+CD11c+) | Decreased: | Increased: | Decreased pDC and cDC fractions |
| Gonçalves et al. ( | Clinic admission | Hypo- to mesoendemic (Brazil) | cDC (HLA-DR+CD11c+) | No change: | Increased: | Decreased cDC fraction |
| Kho et al. ( | Children, adults, hospitalized children, and adults | Holoendemic (Papua) | cDC (HLA-DR+BDCA1+, HLA-DR+BDCA3+) | Increased: | Increased pDC fraction during asymptomatic | |
| Kho et al. ( | Adults | Holoendemic (Papua) | Decreased: | Decreased numbers of circulating pDC and BDCA-1+ cDC2 during symptomatic infections but not during subpatent infections | ||
| Woodberry et al. ( | Healthy adult males | N/A (CHMI) | cDC (HLA-DR+CD11c+) | Decreased: | No change: | Increased DC apoptosis Decreased overall DC numbers |
| Teirlinck et al. ( | Healthy adults | N/A (CHMI) | cDC (HLA-DR+BDCA1+, HLA-DR+BDCA3+) | Increased: | Increased expression of BDCA-1 and CD16 on all subsets except BDCA-3+ cDC1 | |
| Loughland et al. ( | Healthy adults | N/A (CHMI) | cDC (HLA-DR+CD11c+ BDCA-1+) | Decreased: | Increased: | Increased DC apoptosis |
| Loughland et al. ( | Healthy adults | N/A (CHMI) | pDC (HLA-DR+CD11c−CD123+) | Decreased: | No change: | Reduced circulating pDC at and 24 h after peak parasitaemia |
| Loughland et al. ( | Healthy adults | N/A (CHMI) | CD16+ DC (HLA-DR+CD14−CD11c+BDCA-1−CD16+CD86+) | Decreased:CD16 | Increased: | Increased proportion of CD16+ DCs among all CD11c+ DCs |
| Woodberry et al. ( | Healthy adults | N/A (CHMI) | cDC (HLA-DR+CD11c+ BDCA1+, HLA-DR+CD11c+ BDCA3+) | Decreased: | Increased: | Reduced circulating pDC, BDCA-1+ and BDCA-3+ DC |
Transmission intensity, reported intensity of transmission in the catchment area at the time of sample collection; DC subset gating strategy, subsets and markers used to define the subsets which were examined in the study; changes in surface molecule expression, change in activation marker expression after exposure to Plasmodium, relative to healthy controls; serum/plasma cytokines, cytokines assayed for in serum or plasma, change measured relative to healthy controls (no stimulation/no exposure); other effects, other observed changes in cell populations, numbers, or function. .
Surface molecule expression and cytokine secretion for DCs in these studies were measured in supernatants of purified DC cultures after restimulation with pRBCs (.
DC responses after in vitro exposure to P. falciparum.
| Urban et al. ( | Monocyte-derived | ITO/A4 ITO/C24 | Whole trophozoite | Decreased: | Suppressed DC ability to induce T cell activation | CD36 ligation by | |
| Urban et al, ( | Monocyte-derived | ITO/C24 MC | Whole trophozoite | Decreased: | Increased: | Suppressed DC ability to induce T cell activation | CD36 ligation by |
| Elliott et al, ( | Monocyte-derived | ItG | Whole trophozoite | Decreased: | Decreased: | pRBC lysate does not suppress LPS-mediated DC activation and can activate DCs | Parasite-to-DC ratio; |
| Mukherjee and Chauhan, ( | Monocyte-derived | 3D7 | Whole trophozoite | Increased: | Increased: | Stimulate CD4+ T cells to produce IFN-γ, IL-5, and IL-10 | Phosphorylation of p38MAPK |
| Free merozoite | Decreased: | Increased: | Decreased phosphorylation of p38MAPK | Modulation of IL-10/IL-12 secretion via altering ERK1/2 signaling | |||
| Clemente et al. ( | Monocyte-derived | 3D7 | Schizont lysate | Increased: | No change: | Malaria-exposed DCs induce naive T cell differentiation into TH1 and TREG subsets | |
| Götz et al. ( | Monocyte-derived | 3D7 | Intact schizont | No change: | No change: | ||
| Pichyangkul et al. ( | Blood pDC (HLA-DR+CD123+) | TM267R | Intact schizont | Increased: | Increased: | Schizont-stimulated pDCs can induce γδ T-cell proliferation and IFN-γ production | |
| Wu et al. ( | Blood cDC (HLA-DR+BDCA1+) | 3D7 | Merozoite lysate | Increased: | pDC-cDC cross-signaling is required for cytokine secretion by DCs | Cell-to-cell contact between DC subsets and other immune cells | |
| Gowda et al. ( | Blood cDC (HLA-DR+BDCA1+) | 3D7 | Intact trophozoite | Increased: | Increased: | DCs internalize CD36-binding pRBCs more efficiently | CD36 ligation by |
| Götz et al. ( | Blood cDC (HLA-DR+BDCA1+) | 3D7 | Intact schizont | Increased: | Increased: | Low ratios of pRBCs do not suppress DC activation by LPS | NFκB- and PPARγ- independent |
DC type, how DCs used in this study were derived; Parasite strain(s), P. falciparum laboratory strains used for stimulation; Stimulus type, parasite life stage used in this study and whether parasites were purified or processed. .
Bona fide DCs, DCs which have full DC function after purification from donor tissues, without requiring any cytokine maturation.
Figure 3A summary of dendritic cell responses to Plasmodium. While the dendritic cell response is heterogeneous, certain trends are evident when examining the entirety of the current literature. Downregulation of dendritic cell function is commonly observed in field studies of infected humans. In vitro studies have yielded insight into the complexities of dendritic cell activation by Plasmodium, particularly the types of ligands that can trigger an inflammatory response.
Research priorities in DCs and malaria.
| Understanding DC functionality to improve malaria vaccines | |
| Incorporating DC functional assays into vaccine trials as a measure of vaccine relevance and functionality | |
| Correlating DC function in malaria to protection | Controlled human malaria infection studies in naïve and previously exposed cohorts to understand how DC responses are altered by prior exposure and how this correlates with clinical immunity |
| In-depth data analyses of how changes in DC phenotypes correlate with protective immune responses and/or overall clinical immunity | |
| Understanding the mechanism of DC modulation by | Development of small animal or |
| Thorough mapping of the functional and transcriptional changes that DC undergo upon encountering | |
| Measuring DC responses to different |