| Literature DB >> 32487227 |
Bruno Lamas1, Natalia Martins Breyner2, Eric Houdeau3.
Abstract
BACKGROUND: In food toxicology, there is growing interest in studying the impacts of foodborne nanoparticles (NPs, originating from food additives, food supplements or food packaging) on the intestinal microbiome due to the important and complex physiological roles of these microbial communities in host health. Biocidal activities, as described over recent years for most inorganic and metal NPs, could favour chronic changes in the composition and/or metabolic activities of commensal bacteria (namely, intestinal dysbiosis) with consequences on immune functions. Reciprocally, direct interactions of NPs with the immune system (e.g., inflammatory responses, adjuvant or immunosuppressive properties) may in turn have effects on the gut microbiota. Many chronic diseases in humans are associated with alterations along the microbiota-immune system axis, such as inflammatory bowel diseases (IBD) (Crohn's disease and ulcerative colitis), metabolic disorders (e.g., obesity) or colorectal cancer (CRC). This raises the question of whether chronic dietary exposure to inorganic NPs may be viewed as a risk factor facilitating disease onset and/or progression. Deciphering the variety of effects along the microbiota-immune axis may aid the understanding of how daily exposure to inorganic NPs through various foodstuffs may potentially disturb the intricate dialogue between gut commensals and immunity, hence increasing the vulnerability of the host. In animal studies, dose levels and durations of oral treatment are key factors for mimicking exposure conditions to which humans are or may be exposed through the diet on a daily basis, and are needed for hazard identification and risk assessment of foodborne NPs. This review summarizes relevant studies to support the development of predictive toxicological models that account for the gut microbiota-immune axis.Entities:
Keywords: Colorectal cancer; Gut dysbiosis; Gut inflammation; Intestinal microbiota; Nanoparticles; Obesity; Silicon dioxide; Silver; Titanium dioxide; Zinc oxide
Mesh:
Substances:
Year: 2020 PMID: 32487227 PMCID: PMC7268708 DOI: 10.1186/s12989-020-00349-z
Source DB: PubMed Journal: Part Fibre Toxicol ISSN: 1743-8977 Impact factor: 9.400
Fig. 1The gut microbiota modulates the intestinal immune response. The gut microbiota influences the development of T cell subsets, intraepithelial lymphocytes (IELs) and are critical for the induction of plasma cells which produce immunoglobulin A (IgA). Dendritic cells (DCs) sample microbial antigens that pass through the epithelial barrier via microfold (M) cells or capture antigens from the lumen directly by extending dendrites between the intestinal epithelial cells. Some of these DCs migrate to the mesenteric lymph nodes and induce naïve T cells differentiation into regulatory T-cell (Treg) by production of transforming growth factor β (TGF-β) and retinoic acid. Segmented filamentous bacteria (SFB) exhibit pro-inflammatory effects by inducing IL-17 and IgA production, whereas Bacteroides fragilis, Faecalibacterium prausnitzii and short-chain fatty acids (SCFAs) exhibit anti-inflammatory effects via recruitment of Treg that produce the immunosuppressive cytokine IL-10. The intestinal flora also regulates immune response by the production of aryl hydrocarbon receptor (AhR) ligands able to activate AhR, highly expressed on IELs, Th17, Th22, innate lymphoid cells group 3 (ILC3) that produce IL-17 and/or IL-22. These cytokines induce secretion of antimicrobial peptides (AMPs) from Paneth cells and intestinal epithelial cells. AMPs shape the microbiota and are also involved in colonization resistance against pathogens
Studies using animal models to determine the impact of NPs on the gut microbiota
| Ag-NP | TiO2-NP | SiO2-NP | ZnO-NP | ||||
|---|---|---|---|---|---|---|---|
| Duration (days) | ≤14 | ≥28 | 7 | ≥28 | 7 | ≤14 | ≥28 |
| Actinobacteria | ↗[ | ||||||
| ↙[ | |||||||
| ↙[ | |||||||
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| Bacteroidetes | ↗[ | ↗[ | ↙[ | ↙[ | ↙[ | ↙[ | ↗[ |
| ↙[ | ↗[ | ||||||
| ↗[ | ↙[ | ↙[ | ↗[ | ||||
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| ↗[ | ↙[ | ↗[ | ↙[ | ||||
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| ↗[ | ↗[ | ↙[ | |||||
| ↙[ | ↙[ | ||||||
| ↙[ | |||||||
| Firmicutes | ↙[ | ↙[ | ↙[ | ↗[ | ↗colon, ↙ileum [ | ↙[ | |
| ↗[ | |||||||
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| ↙[ | ↗[ | ↗[ | |||||
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| ↗[ | ↗colon, ↙ileum [ | ↙[ | |||||
| ↙[ | ↙[ | ↙[ | ↙[ | ↗colon, ↙ileum [ | ↙[ | ||
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| Proteobacteria | ↗[ | ↗[ | ↗[ | ↙[ | |||
| ↗[ | |||||||
| ↗[ | |||||||
| ↗[ | |||||||
| ↗[ | |||||||
| ↙[ | |||||||
♦ Studies using NPs at human relevant doses
In vitro studies exploring the impact of NPs on human microbiota
| Ag-NP | TiO2-NP | |
|---|---|---|
| Duration (days) | 2 | 2 |
| Bacteroidetes | ||
| ↙[ | ↙[ | |
| Firmicutes | ||
| ↗[ | ||
| ↗[ | ||
| ↙[ | ↗[ | |
| ↗[ | ||
| ↙[ | ||
| ↙[ | ||
| ↙[ | ||
| ↙[ | ||
| Proteobacteria | ||
| ↗[ | ||
| ↗[ | ||
In vitro studies on immunological properties of NPs
| NPs | cell response | cell frequence/activity | Potential effect |
|---|---|---|---|
| TiO2 (6-48 h) | Innate inflammatory response [ | ||
| Cytotoxicity and inflammation [ | |||
| Adjuvant [ | |||
| Allergic response [ | |||
| Tissue damage [ | |||
| NETosis: inflammation, necrosis and apoptosis [ | |||
| inflammasome activation [ | |||
| activation of NFkB pathway [ | |||
| SiO2 (6-48 h) | Imbalance of immune response [ | ||
| Immunogenic or adjuvant potential [ | |||
| Inflammation [ | |||
| NETosis: inflammation, necrosis and apoptosis [ | |||
| inflammasome activation [ | Cytotoxic effect [ | ||
| NFkB activation [ | Susceptibility to infection [ | ||
| Allergic response [ | |||
| ZnO (6-48 h) | Cytotoxicity and inflammation [ | ||
| Imbalance of immune response [ | |||
| Chronic pathologies [ | |||
| induces neo-synthesis of polypeptides [ | Allergenic response [ | ||
| Protective effect [ | |||
| Genomic instability [ | |||
| Cell cycle imbalanced [ | |||
| Ag (6-48 h) | Apoptosis and cytotoxicity [ | ||
| Inflammation/imbalance of immune response [ | |||
| Allergic response [ | |||
| inflammasome activation [ | |||
CD Cluster of differentiation, CXCL1 chemokine ligand 1, DC dendritic cell, IBD Inflammatory bowel disease, Ig immunoglobulin, IL interleukin, μɸ macrophage, MHCII major histocompatibility complex II, MMP-9 matrix metalloproteinase 9, MPO myeloperoxidase, NET Neutrophil extracellular trap, NFkB nuclear factor-kappa B, ROS reactive oxygen species, TLR Toll-like receptor
In vivo studies on immunological properties of NPs
| NPs | Time | Cell response | Cell frequency/activity | Dose range | Potential effect | Ref |
|---|---|---|---|---|---|---|
| TiO2 | 1 -14 d | ↗ IFN-ɣ and IL-17 in spleen | ↗ Th17 and Th1 in spleen | inflammation | [ | |
| ↗ DC frequency in PP | imbalance immune response | |||||
| ↙ Treg and T helper cells in PP | immunossuppression | |||||
↗ inflammatory cytokines in ileum (IL-12, IL-4, IL-23, TNF-α, IFN-γ) | ↗ T cells CD4+ in small intestin | 100 mg/kg bw/d | inflammation | [ | ||
| 5 g/kg bw (single oral gavage) | no toxic effects | [ | ||||
| > 28 d | ↗ TNF-α, IL-10 and IL-8 in colon | ↙ Treg and T helper cells in PP | risk of preneoplasic lesions in colon | [ | ||
↗ IL-6, TNF-α, IL1-β in ovary (expression and production) | ↙ white cells and lymphocytes in blood | inflammation and follicule atresia | [ | |||
| fertility reduction | ||||||
| ↗ glucose in blood of young rats | ↗ mast cells activation in stomach | alteration of gastrointestinal functions | [ | |||
| Heart, Liver and Kidney injuries | ||||||
| SiO2 | 7 -14 d | ↙ inflammatory cytokines in blood (IL1-β, TNF-α, IL-12p70, IL-6 and IFN-ɣ) | ↙ Natural Killer acitivity in spleen | 750 mg/kg bw/d | immunossuppression | [ |
| ↙ T cells and B cells proliferation in spleen | dysregulation of immune response | |||||
| ↙ Lymphocytes population in blood | ||||||
| ↗ IgG and IgE in blood | ↗ splenocyte proliferation | imbalance immune response (dose dependent) | [ | |||
↗ inflammatory cytokines in spleen (INF-ɣ, IL-4, IL-5 and IL-17) | risk of food allergy development | |||||
| ≥ 28 d | slight ↗ lymphocytes in blood | 2.5 mg/mouse/d | no effect | [ | ||
| Ag | 7-14 d | ↗ TGF-β in blood | ↗ B and Natural Killer cells in blood ↗ T CD8+ population in blood | 1 mg/kg bw/d | imbalance immune response | [ |
↗ IgG in blood, ↗ TGF-β and IFN-ɣ in spleen | ↗ splenocyte proliferation | 0.01; 0.1; 1; 10 mg/kg bw/d | imbalance immune response | [ | ||
| ≥ 28 d | ↗ inflammatory cytokines in blood (IL1-β, IL-6, IL-4, IL-10, IL-12 and TGF-β) | ↗ T CD8+ population in blood | 0.25; 0.50; 1 mg/kg bw/d | inflammation | [ | |
| ↗ IgE in blood | ↗ B cell in blood | risk of food allergy development | ||||
↙ gene expression in ileum (MUC3, TLR2, TLR4, FOXP3, IL-10, TGF-β) | 9 mg/kg bw/d | immunossuppression | [ | |||
| sexual dimorphism response |
The relevant doses for humans are indicated in bold. DC dendritic cell, FOXP3 forkhead box P3, GPR43 G-protein coupled receptor 43, IFN-γ interferon-gamma, Ig immunoglobulin, IL interleukin, MUC3 mucin 3, NOD2 nucleotide-binding oligomerization domain 2, TGF-β transforming growth factor beta, Th T helper, TLR Toll-like receptor, TNF-α tumor necrosis factor alpha, Treg regulatory T-cell
Fig. 2Potential impact of NP ingestion on the crosstalk between the microbiota and the immune system. After ingestion, NPs interact with the gastrointestinal environment and can alter the gut microbiota, characterized by an alteration of the F/B ratio, a depletion of Lactobacillus strains and an increase in the abundance of Proteobacteria. NPs exhibit also deleterious effects on the epithelial barrier and the intestinal immune response, which can amplifies the dysbiosis in a vicious circle favouring intestinal inflammation in susceptible individuals
Microbiota alteration observed in IBD, CRC and obesity compared to those induced after NP ingestion
| IBD | CRC | Obesity | NPs effects on microbiota | |
|---|---|---|---|---|
| Actinobacteria | ↗[ | ↗[ | ↗[ | ↗TiO2 [ |
| ↗[ | ||||
| ↗[ | ||||
| ↗[ | ||||
| ↗[ | ||||
| ↗[ | ||||
| ↗[ | ||||
| ↙[ | ↙[ | ↙[ | ↙Ag [ | |
| ↙[ | ||||
| ↗[ | ↗[ | |||
| ↗[ | ||||
| Bacteroidetes | ↙[ | ↙[ | ↙[ | ↙Ag, TiO2, SiO2, ZnO [ |
| ↙[ | ↙[ | ↗[ | ↙Ag, TiO2, SiO2 [ | |
| ↙[ | ↙[ | ↙Ag, TiO2 [ | ||
| ↙[ | ↙[ | ↙[ | ↙Ag [ | |
| ↗[ | ↙ZnO [ | |||
| ↙[ | ↙[ | ↗[ | ↙TiO2, ZnO [ | |
| ↙[ | ↙[ | ↙ZnO [ | ||
| ↙[ | ↗[ | ↙[ | ↙ZnO [ | |
| Firmicutes | ↙[ | ↙[ | ↗[ | ↙Ag, TiO2, ZnO [ |
| ↙[ | ↗[ | ↗[ | ↙TiO2 [ | |
| ↙[ | ↙TiO2 [ | |||
| ↙[ | ↙[ | ↙[ | ↙Ag [ | |
| ↙[ | ↙[ | ↙[ | ↗Ag [ | |
| ↙[ | ||||
| ↙[ | ↙[ | ↗Ag [ | ||
| ↙[ | ↙[ | ↙[ | ||
| ↙[ | ↗[ | ↙Ag [ | ||
| ↙[ | ||||
| ↙[ | ↗[ | |||
| ↙[ | ||||
| ↙[ | ||||
| ↗[ | ||||
| ↙[ | ↙[ | |||
| ↙[ | ↗[ | ↙Ag [ | ||
| ↙[ | ↗[ | ↗TiO2 [ | ||
| ↙[ | ↙[ | ↙[ | ||
| ↙[ | ↙[ | ↙[ | ↙Ag [ | |
| ↙[ | ↙[ | ↙[ | ↙Ag, TiO2, SiO2, ZnO [ | |
| ↙[ | ↙Ag, ZnO [ | |||
| ↗[ | ||||
| ↙[ | ↙Ag [ | |||
| ↗[ | ↗ZnO [ | |||
| Proteobacteria | ↗[ | ↗[ | ↗[ | ↗TiO2, SiO2, ZnO [ |
| ↗[ | ↗[ | ↗[ | ↗Ag [ | |
| ↗[ | ↗[ | ↗ Ag, TiO2 [ | ||
| ↗[ | ↗[ | ↗ TiO2 [ | ||
| ↗[ | ||||
| ↗[ |