Intestinal RORrt-generated Th17 cells control type 2 diabetes: A first antidiabetic target identified from the host to microbiota crosstalk

The recent discovery of the role played by gut microbiota on the control of metabolic disease opens novel routes for the identification of the causes of type 2 diabetes and obesity. This paradigm could explain the infiltration, by innate and adaptive immune cells, of the adipose tissue, liver, and islets of Langerhans which is responsible for the metabolic inflammation state that leads to impaired insulin action and secretion, and therefore, type 2 diabetes. The identification of the causal role of circulating lipopolysaccharides LPS and peptidoglycans in the development of metabolic inflammation, due to an increased intestinal permeability, led to the leaky gut hypothesis. In addition, whole live bacteria were found in metabolic tissues establishing a tissue microbiota which upon a fat-enriched diet becomes dysbiotic. The process of intestinal bacterial translocation was responsible for the onset of a leaky gut causal to the disease. The translocation of selective sets of intestinal bacteria to the blood could be identified. These blood bacterial 16SrRNA-DNA sequences are considered as biomarkers of the bacterial translocation process. An increased of the corresponding bacterial DNA concentration was predicting the occurrence of type 2 diabetes. Associated to the dysbiotic microbiota translocation, an impaired intestinal immune defense was identified as a cause of the selective leaky gut. The change in small intestine mucosal microbiota induced by a fat-enriched diet reduces the number of IL17-secreting CD4 T cells within the lamina propria of the intestine. This loss of IL17-secreting CD4 T cells is the consequence of an impaired capacity of intestinal antigen presenting cells to activate and trigger the expression of RORgt and the production of IL17 by CD4 T cells. Altogether, an impaired intestinal immune defense, notably the reduced differentiation of RORgt expressing IL17-producing CD4 T cells, favors the onset of a leaky gut leading to the translocation of bacterial factors and live bacteria towards tissues triggering metabolic inflammation; insulin resistance and type 2 diabetes. Hence, the triggering of intestinal defense surrounding RORgt pathway now appears as a potential target mechanism for the control of type 2 diabetes

The Gut Microbiota Regulates Intestinal CD4 T Cells Expressing RORγt and Controls Metabolic Disease

SummaryA high-fat diet (HFD) induces metabolic disease and low-grade metabolic inflammation in response to changes in the intestinal microbiota through as-yet-unknown mechanisms. Here, we show that a HFD-derived ileum microbiota is responsible for a decrease in Th17 cells of the lamina propria in axenic colonized mice. The HFD also changed the expression profiles of intestinal antigen-presenting cells and their ability to generate Th17 cells in vitro. Consistent with these data, the metabolic phenotype was mimicked in RORγt-deficient mice, which lack IL17 and IL22 function, and in the adoptive transfer experiment of T cells from RORγt-deficient mice into Rag1-deficient mice. We conclude that the microbiota of the ileum regulates Th17 cell homeostasis in the small intestine and determines the outcome of metabolic disease

Immuno-microbiota cross and talk: the new paradigm of metabolic diseases.

International audienceOver the last decades the rising occurrence of metabolic diseases throughout the world points to the failure of preventive and therapeutic strategies and of the corresponding molecular and physiological concepts. Therefore, a new paradigm needs to be elucidated. Very recently the intimate cross talk of the intestinal microbiota with the host immune system has opened new avenues. The large diversity of the intestinal microbes' genome, i.e. the metagenome, and the extreme plasticity of the immune system provide a unique balance which, when finely tuned, maintains a steady homeostasis. The discovery that a new microbiota repertoire is one of the causes responsible for the onset of metabolic disease suggests that the relationship with the immune system is impaired. Therefore, we here review the recent arguments that support the view that an alteration in the microbiota to host immune system balance leads to an increased translocation of bacterial antigens towards metabolically active tissues, and could result in a chronic inflammatory state and consequently impaired metabolic functions such as insulin resistance, hepatic fat deposition, insulin unresponsiveness, and excessive adipose tissue development. This imbalance could be at the onset of metabolic disease, and therefore the early treatment of the microbiota dysbiosis or immunomodulatory strategies should prevent and slow down the epidemic of metabolic diseases and hence the corresponding lethal cardiovascular consequences

Intestinal RORrt-generated Th17 cells control type 2 diabetes: A first antidiabetic target identified from the host to microbiota crosstalk: DOI: 10.14800/ics.1074

The recent discovery of the role played by gut microbiota on the control of metabolic disease opens novel routes for the identification of the causes of type 2 diabetes and obesity. This paradigm could explain the infiltration, by innate and adaptive immune cells, of the adipose tissue, liver, and islets of Langerhans which is responsible for the metabolic inflammation state that leads to impaired insulin action and secretion, and therefore, type 2 diabetes. The identification of the causal role of circulating lipopolysaccharides LPS and peptidoglycans in the development of metabolic inflammation, due to an increased intestinal permeability, led to the leaky gut hypothesis. In addition, whole live bacteria were found in metabolic tissues establishing a tissue microbiota which upon a fat-enriched diet becomes dysbiotic. The process of intestinal bacterial translocation was responsible for the onset of a leaky gut causal to the disease. The translocation of selective sets of intestinal bacteria to the blood could be identified. These blood bacterial 16SrRNA-DNA sequences are considered as biomarkers of the bacterial translocation process. An increased of the corresponding bacterial DNA concentration was predicting the occurrence of type 2 diabetes. Associated to the dysbiotic microbiota translocation, an impaired intestinal immune defense was identified as a cause of the selective leaky gut. The change in small intestine mucosal microbiota induced by a fat-enriched diet reduces the number of IL17-secreting CD4 T cells within the lamina propria of the intestine. This loss of IL17-secreting CD4 T cells is the consequence of an impaired capacity of intestinal antigen presenting cells to activate and trigger the expression of RORgt and the production of IL17 by CD4 T cells. Altogether, an impaired intestinal immune defense, notably the reduced differentiation of RORgt expressing IL17-producing CD4 T cells, favors the onset of a leaky gut leading to the translocation of bacterial factors and live bacteria towards tissues triggering metabolic inflammation; insulin resistance and type 2 diabetes. Hence, the triggering of intestinal defense surrounding RORgt pathway now appears as a potential target mechanism for the control of type 2 diabetes

CD8+CD28- regulatory T lymphocytes prevent experimental inflammatory bowel disease in mice.

BACKGROUND & AIMS: Immune responses to innocuous intestinal antigens appear tightly controlled by regulatory T lymphocytes. While CD4+ T lymphocytes have recently attracted the most attention, CD8+ regulatory T-cell populations are also believed to play an important role in control of mucosal immunity. However, CD8+ regulatory T-cell function has mainly been studied in vitro and no direct in vivo evidence exists that they can control mucosal immune responses. We investigated the capacity of CD8+CD28- T cells to prevent experimental inflammatory bowel disease (IBD) in mice. METHODS: CD8+CD28- regulatory T cells were isolated from unmanipulated mice and tested for their capacity to inhibit T-cell activation in allogeneic mixed lymphocyte cultures in vitro and to prevent IBD induced by injection of CD4+CD45RB(high) cells into syngeneic immunodeficient RAG-2 mutant mice. RESULTS: CD8+CD28- T lymphocytes inhibited proliferation and interferon gamma production by CD4+ responder T cells in vitro. CD8+CD28- regulatory T cells freshly isolated from spleen or gut efficiently prevented IBD induced by transfer of colitogenic T cells into immunodeficient hosts. Regulatory CD8+CD28- T cells incapable of producing interleukin-10 did not prevent colitis. Moreover, IBD induced with colitogenic T cells incapable of responding to transforming growth factor beta could not be prevented with CD8+CD28- regulatory T cells. CD8+CD28+ T cells did not inhibit in vitro or in vivo immune responses. CONCLUSIONS: Our findings show that naturally occurring CD8+CD28- regulatory T lymphocytes can prevent experimental IBD in mice and suggest that these cells may play an important role in control of mucosal immunity

Simulation supported POD curves for automated ultrasonic testing of pipeline girth welds

International audienceA probability of detection (POD) curve relates the detectability of a flaw to its size. It plays an important role in the qualification process of nondestructive testing (NDT) methods since it gathers the influence of all the parameters that can alter the detectability of the flaw and, therefore, gives a measure of the performance of the NDT method (in terms of detection capabilities). POD curves were before exclusively obtained thru expensive and time consuming experimental campaigns. Simulation based POD calculations have recently been introduced in the NDT community. The determination of POD curves based on the simulation of the inspection method is presented in the case of the automated ultrasonic (AUT) inspection of girth welds using the zonal discrimination approach. The methodology to obtain these curves is divided into different steps that are derived from the ASTM standard practices and Det Norske Veritas (DNV) recommendations for these AUT inspection procedures using hit/miss analysis. The simulations and the computation of the POD curves are performed using the software CIVA developed by the CEA-LIS

Simulation-based POD study for welded pipe inspection

International audienceFlowlines used in the Oil and Gas industry are composed of several pipelines welded all together. The girth weld shall withstand pressure and temperature conditions during the life cycle of the flowline and thus has to be inspected for unacceptable defects during production and before installation. One reference nondestructive testing method of such girth welds is the Zonal Discrimination Method, which uses ultrasound phased array transducers. For a given weld geometry and transducer, the performance of the inspection has to be demonstrated during qualification using statistical quantification tools such as Probability of Detection (POD) and sizing accuracy curves. So far, the qualification is based on a substantial number of experiments on representative welded mock-ups, some with machined calibration defects, and others with realistic defects induced intentionally by artificial means. Such realistic defects are very difficult to create and have to be destructively characterized to measure their real height and location. Thus, the whole procedure is costly and the number of defects is limited. In this communication, we present the results of a study performed in collaboration between CEA, Bureau Veritas and TechnipFMC. The aim is to use numerical simulations to support and complete experiments and to provide robust qualification procedures. State-of-the-art numerical tools based on CIVA 2017 are used to simulate phased array inspection on various defects located in the weld and to rank the criticality of the different variables of AUT set up and procedures and compute model-assisted POD curves

Limosilactobacillus reuteri BIO7251 administration improves metabolic phenotype in obese mice fed a high fat diet: an inter-organ crosstalk between gut, adipose tissue and nervous system

Gut microbiota is implicated in the control of host physiology by releasing bioactive actors that could exert a direct or indirect effect on tissue. A dysfunction of the gut microbiota to tissue axis could participate in the development of pathological states such as obesity and diabetes. The aim of this study was to identify the metabolic effect of Limosilactobacillus reuteri (known as Lactobacillus reuteri) BIO7251 (L. reuteri BIO7251) isolated from Corsican clementine orange. Body weight gain, adiposity, glucose tolerance, glucose absorption and food intake were measured in mice fed a high-fat diet in response to a preventive oral administration of L. reuteri BIO7251. This strain of bacteria exerts a beneficial effect on body weight gain by decreasing the subcutaneous adipose tissue mass. The treatment with L. reuteri BIO7251 decreases glucose absorption and food intake in obese/diabetic mice. L. reuteri BIO7251 could be tested as new probiotic strain that could manage body weight during obesity

Metagenome and metabolism: the tissue microbiota hypothesis.

International audienceOver the last decade, the research community has revealed the role of a new organ: the intestinal microbiota. It is considered as a symbiont that is part of our organism since, at birth, it educates the immune system and contributes to the development of the intestinal vasculature and most probably the nervous system. With the advent of new generation sequencing techniques, a catalogue of genes that belong to this microbiome has been established that lists more than 5 million non-redundant genes called the metagenome. Using germ free mice colonized with the microbiota from different origins, it has been formally demonstrated that the intestinal microbiota causes the onset of metabolic diseases. Further to the role of point mutations in our genome, the microbiota can explain the on-going worldwide pandemic of obesity and diabetes, its dissemination and family inheritance, as well as the diversity of the associated metabolic phenotypes. More recently, the discovery of bacterial DNA within host tissues, such as the liver, the adipose tissue and the blood, which establishes a tissue microbiota, introduces new opportunities to identify targets and predictive biomarkers based on the host to microbiota interaction, as well as to define new strategies for pharmacological, immunomodulatory vaccines and nutritional applications