| Literature DB >> 31623187 |
Filomena Nogueira1,2,3, Shirin Sharghi4,5,6, Karl Kuchler7, Thomas Lion8,9,10.
Abstract
Polymicrobial infections are of paramount importance because of the potential severity of clinical manifestations, often associated with increased resistance to antimicrobial treatment. The intricate interplay with the host and the immune system, and the impact on microbiome imbalance, are of importance in this context. The equilibrium of microbiota in the human host is critical for preventing potential dysbiosis and the ensuing development of disease. Bacteria and fungi can communicate via signaling molecules, and produce metabolites and toxins capable of modulating the immune response or altering the efficacy of treatment. Most of the bacterial-fungal interactions described to date focus on the human fungal pathogen Candida albicans and different bacteria. In this review, we discuss more than twenty different bacterial-fungal interactions involving several clinically important human pathogens. The interactions, which can be synergistic or antagonistic, both in vitro and in vivo, are addressed with a focus on the quorum-sensing molecules produced, the response of the immune system, and the impact on clinical outcome.Entities:
Keywords: bacterial–fungal interactions; immune response; in vivo models; microbiome; molecules
Year: 2019 PMID: 31623187 PMCID: PMC6843596 DOI: 10.3390/microorganisms7100459
Source DB: PubMed Journal: Microorganisms ISSN: 2076-2607
Figure 1Molecules and factors mediating the interaction between different Candida species and a variety of bacteria. Candida species include Candida (C.) albicans, Candida (C.) glabrata and Candida (C.) dubliniensis. Gram-positive bacteria are represented in lilac (Enterococcus (E.) faecalis) and Gram-negative bacteria in red (Pseudomonas (P.) aeruginosa, Escherichia (E.) coli, Acinetobacter (A.) baumannii, Aggregatibacter (A.) actinomycetemcomitans, Serratia (S.) marcescens, Bacteroides (B.) fragilis, Salmonella (S.) enterica, Klebsiella (K.) pneumoniae). Green arrows indicate supportive interactions and red lines represent inhibitory effects. If not indicated above the green arrows and red lines, the molecules mediating the interaction are currently unknown.
Figure 2Molecules and factors mediating the interaction between Aspergillus species and bacteria. Aspergillus species include Aspergillus (A.) fumigatus, Aspergillus (A.) nidulans, Aspergillus (A.) niger, Aspergillus (A.) terreus and Aspergillus (A.) flavus. Gram-positive bacteria are represented in lilac (Streptomyces (S.) rapamycinicus) and Gram-negative bacteria in red (Klebsiella (K.) pneumoniae, Pseudomonas (P.) aeruginosa). Green arrows indicate supportive interactions and red lines represent inhibitory effects. If not indicated above the green arrows and red lines, the molecules mediating the interaction are currently unknown.
Figure 3Molecules and factors mediating the interaction between Cryptococcus spp., Cladosporium spp., Rhizopus microsporus, Saccharomyces cerevisiae, Scedosporium aurantiacum, and different bacteria. Gram- positive bacteria are represented in lilac (Bacillus (B.) subtilis) and Gram-negative bacteria are represented in red (Pseudomonas (P.) aeruginosa, Klebsiella (K.) aerogenes). Green arrows indicate supportive interactions and red lines represent inhibitory effects. If not indicated above the green arrows and red lines, the molecules mediating the interaction are currently unknown.
Animal models used for studies of bacterial–fungal interactions and immune response.
| Bacterial–Fungal Interaction | Host | Immune Response | References | ||
|---|---|---|---|---|---|
| Mortality | Cytokines/Chemokines/Molecules | Effect | |||
| Rat | Elevated pro-inflammatory cytokines: TNF-α, IFN-γ, IL-6 | Higher bacterial loads in the lungs; impaired macrophage function in the lungs | [ | ||
| Mouse | ↑ | High mortality mostly due to protease activity of | [ | ||
| Mouse | ↓ | IL-22; IL-17 pathway; AMPs | Colonization by | [ | |
| Mouse | ↓ | Factors secreted by | [ | ||
| Zebrafish | ↑ | Elevated pro-inflammatory cytokine: IL-6; Elevated neutrophil chemoattractant: IL-8 | Increased | [ | |
| Mouse | Toll-like receptor (TLR)-2 signalling; cytokines IL-17C, CXCL1, MIP-2/CXCL2, TNF, IL-1α, IL-1β; neutrophil protein CD177, CD14, MMP8 | Increased | [ | ||
| Mouse | ↑ | IL-6; PGE2; IL-1β; TNF-α | Yeast-to-hyphae transition of | [ | |
|
| ↑ | C-type lectins; CUB domain containing factors; AMPs | Increased virulence of both species | [ | |
|
| ↑ | Increased pathogenicity; | [ | ||
|
| ↓ | Exposure to | [ | ||
| Mouse | ↑ | Endotoxin mediating synergistic lethality | Currently unknown | [ | |
| Mouse | ↓ | TNF-α; IFN-γ; IL-6; IL-10; IL-22 | Bacterial treatment followed by | [ | |
|
| ↓ | [ | |||
|
| ↑ | Activation of mitogen-activated protein kinases (MAPKs) ERK and p38 | No additive of the co-infection on inflammation; lack of synergistic inflammatory response; saturation of signaling pathways | [ | |
The documented mortality of these bacterial–fungal interactions (BFI) is presented as higher (upward arrows) or lower (downward arrows) compared to the respective single infections. Cytokines, chemokines, and other molecules involved during the BFI, the immune system interaction and a brief description of the mechanisms are indicated. PGE2—prostaglandin E2; IS—immune system; CUB—C1s/C1r complement components, the embryonic sea urchin protein (Uegf), and bone morphogenetic protein 1 (Bmp1) [229]; AMPs—antimicrobial peptides.