| Literature DB >> 34472032 |
Ester Díez-Sainz1, Fermín I Milagro2,3,4, José I Riezu-Boj1,5, Silvia Lorente-Cebrián6,7,8.
Abstract
Obesity and diabetes incidence rates are increasing dramatically, reaching pandemic proportions. Therefore, there is an urgent need to unravel the mechanisms underlying their pathophysiology. Of particular interest is the close interconnection between gut microbiota dysbiosis and obesity and diabetes progression. Hence, microbiota manipulation through diet has been postulated as a promising therapeutic target. In this regard, secretion of gut microbiota-derived extracellular vesicles is gaining special attention, standing out as key factors that could mediate gut microbiota-host communication. Extracellular vesicles (EVs) derived from gut microbiota and probiotic bacteria allow to encapsulate a wide range of bioactive molecules (such as/or including proteins and nucleic acids) that could travel short and long distances to modulate important biological functions with the overall impact on the host health. EV-derived from specific bacteria induce differential physiological responses. For example, a high-fat diet-induced increase of the proteobacterium Pseudomonas panacis-derived EV is closely associated with the progression of metabolic dysfunction in mice. In contrast, Akkermansia muciniphila EV are linked with the alleviation of high-fat diet-induced obesity and diabetes in mice. Here, we review the newest pieces of evidence concerning the potential role of gut microbiota and probiotic-derived EV on obesity and diabetes onset, progression, and management, through the modulation of inflammation, metabolism, and gut permeability. In addition, we discuss the role of certain dietary patterns on gut microbiota-derived EV profile and the clinical implication that dietary habits could have on metabolic diseases progression through the shaping of gut microbiota-derived EV.Entities:
Keywords: Akkermansia muciniphila; Dysbiosis; Exosomes; Inflammation; Probiotics; microRNA
Mesh:
Year: 2021 PMID: 34472032 PMCID: PMC8410452 DOI: 10.1007/s13105-021-00837-6
Source DB: PubMed Journal: J Physiol Biochem ISSN: 1138-7548 Impact factor: 5.080
Some pieces of evidence of the effect of extracellular vesicles derived from gut microbiota and probiotics bacteria on host health
| Bacteria-derived EVs | Model | Mediated effect | Mechanism | Refs |
|---|---|---|---|---|
| T-84 and Caco-2 cells (colon cell lines) monolayers | Reinforcement of gut barrier (↑ TER) | (1) ↑ ZO-1 and claudin-14 (2)↓ Claudin-2 | [ | |
| T-84 and Caco-2 cells monolayers infected by EPEC | Protection against EPEC-induced epithelial barrier permeability increase | Counteraction of EPEC-induced: (1) ↓ Occludin and claudin-14 gene expression (2) ZO-1 and occludin redistribution (3) F-actin cytoskeleton disorganization | [ | |
| Caco-2 cells | Modulation of innate immune responses | Activation of NF-kB thought NOD1-signaling pathway and subsequent secretion of pro-inflammatory cytokines IL-6 and IL-8 | [ | |
| Human colonic explants | Intestinal barrier protection and immune and defense responses activation | ↑ MIP1α, TNF- α, IL-6, IL-8, hBD-2, and IL-22 ↓ IL-12, TGF-β, and MUC1 | [ | |
| Colitis mouse model | Amelioration of experimental induced colitis progression | ↓ Body weight loss ↓ Disease Activity index Counteraction of colon length decrease ↓ Intestinal damage and inflammation by counteracting altered colonic expression of pro-inflammatory cytokines (i.e., IL-1β and IL-6), and TFF-3 colonic down-regulation | [ | |
| Caco-2 and HT29-19A intestinal cells | Pro-inflammatory response | ↑ IL-8 secretion | [ | |
| Caco-2 cells | Potential role on inflammation and intestinal barrier permeability (not determined) | ↓ ↑ O | [ | |
| LPS-treated Caco-2 cells | ↓ Permeability | ↑ Occludin expression | [ | |
| Counteraction of inflammatory response | Counteraction of pro-inflammatory cytokines production (IL-6) | [ | ||
| Colitis mouse model | Amelioration of experimental induced colitis progression | ↓ Body weight loss Counteraction of colon length decrease ↓ Epithelial barrier disruption and inflammatory cell infiltration of the colon wall ↓ Disease Activity index reduction | [ | |
| High-fat diet–induced diabetic mice | Improvement of gut barrier integrity Counteraction of high-fat diet–induced body weight gain Improvement of glucose tolerance | ↑ Tight junction protein expression (occludin, ZO-1, and claudin-5) | [ | |
| High-fat diet–induced obese mice | ↓ Food intake Counteraction of high-fat diet–induced body and adipose weight gain ↓ Cholesterol and plasma glucose levels ↓ Adipose inflammation ↓ Colon inflammation ↓ Gut barrier permeability | Modulation of expression of adipose genes involved in energy metabolism and fatty acid oxidation ( ↓ Pro-inflammatory cytokines ( ↓ Pro-inflammatory cytokines and ↑ ↑ Tight junction colon gene expression ( | [ | |
| HT-29 treated with | Attenuation of | Counteraction of pro-inflammatory cytokine IL-8 production | [ | |
| Bone marrow–derived macrophages and bone marrow progenitors cell cultures | Inflammation inhibition by activating TLR2 signaling pathway | Induction of M2-like macrophage polarization Promotion of myeloid-derived suppressor-like cell differentiation | [ | |
| Excisional wound healing model | Wound-healing rate acceleration | Inflammatory responses modulation and inflammatory suppressor cells recruitment | [ | |
| Mouse models of liver fibrosis, vaccination, peritonitis, and colitis | Inflammation suppression by promoting immunosuppressive responses | Induction of M2-like macrophage polarization Promotion of myeloid-derived suppressor-like cell differentiation | [ | |
| Colitis mouse model | Colitis development protection through inflammation suppression | ↑ Anti-inflammatory cytokine and regulatory T cells production through dendritic cells TLR2-activation | [ | |
| Genetically susceptible- colitis mice | Development of colitis through the enhancement of inflammatory responses | Inflammatory cytokines production (IL-6 and TNF-α) by intestinal macrophages Sulfatase dependent-activation of intestinal macrophages | [ | |
3T3-L1 adipocytes L6 myotubes | Impairment of insulin signaling in adipocytes and myotubes Blockage of insulin uptake by myotubes | ↓ Insulin signaling molecule pAKT in adipocytes and myotubes ↓ Myotubes GLUT4 translocation | [ | |
| Mice | Diabetic phenotype induction (insulin resistance in skeletal and adipose tissues and skeletal tissue glucose intolerance) | Adipose tissue and skeletal muscle insulin signaling pathway blockage at pAKT level | [ |
Fig. 1Schematic model of the hypothetical impact of dietary patterns on gut microbiota extracellular vesicle profile, and the effect of probiotic- and gut microbiota–derived extracellular vesicles on metabolic syndrome onset and/or progression. A mechanism by which unhealthy dietary patterns could contribute to obesity and/or diabetes progression could be the promotion of gut microbiota dysbiosis and the enhancement of detrimental gut microbiota-derived extracellular vesicles amount. In turn, these extracellular vesicles could potentially impair gut barrier permeability and intestinal inflammation, and could be distributed to peripheral organs through systemic circulation, impairing metabolism and promoting inflammation, and subsequently aggravating the severity of metabolic disorders. Enhancement of beneficial gut microbiota extracellular vesicles through plants and plant-derived extracellular vesicles from healthy dietary patterns and/or the administration of formulations based of probiotic- and gut microbiota–derived extracellular vesicles could potentially be a strategy to treat metabolic disorders by counteracting dysbiosis, gut permeability increase, inflammation, metabolic homeostasis disturbances, and nervous-system derangements. Formulations based on bacterial extracellular vesicles could be optimized in order to increase their properties and effects by designing efficient therapeutic agents (i.e., probiomimetics, which are bacterial derived extracellular vesicles coupled to microvesicles), establishing optimal cell culture conditions or administrating certain food-ingredients. All the hypotheses presented in this model must be further confirmed; especially the ones marked with dashed arrows should be proven. Brain template from BioRender (https://biorender.com)