Triggering the adaptive immune system with commensal gut bacteria protects against insulin resistance and dysglycemia
Objective: To demonstrate that glycemia and insulin resistance are controlled by a mechanism involving the adaptive immune system and gut microbiota crosstalk. Methods: We triggered the immune system with microbial extracts specifically from the intestinal ileum contents of HFD-diabetic mice by the...
| Published in: | Molecular Metabolism |
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| Main Authors: | , , , , , , , , , , , , , , , , |
| Format: | Article |
| Language: | English |
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Elsevier
2016-06-01
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2212877816300047 |
| _version_ | 1851901281494368256 |
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| author | Céline Pomié Vincent Blasco-Baque Pascale Klopp Simon Nicolas Aurélie Waget Pascale Loubières Vincent Azalbert Anthony Puel Frédéric Lopez Cédric Dray Philippe Valet Benjamin Lelouvier Florence Servant Michael Courtney Jacques Amar Rémy Burcelin Lucile Garidou |
| author_facet | Céline Pomié Vincent Blasco-Baque Pascale Klopp Simon Nicolas Aurélie Waget Pascale Loubières Vincent Azalbert Anthony Puel Frédéric Lopez Cédric Dray Philippe Valet Benjamin Lelouvier Florence Servant Michael Courtney Jacques Amar Rémy Burcelin Lucile Garidou |
| author_sort | Céline Pomié |
| collection | DOAJ |
| container_title | Molecular Metabolism |
| description | Objective: To demonstrate that glycemia and insulin resistance are controlled by a mechanism involving the adaptive immune system and gut microbiota crosstalk. Methods: We triggered the immune system with microbial extracts specifically from the intestinal ileum contents of HFD-diabetic mice by the process of immunization. 35 days later, immunized mice were fed a HFD for up to two months in order to challenge the development of metabolic features. The immune responses were quantified. Eventually, adoptive transfer of immune cells from the microbiota-immunized mice to naïve mice was performed to demonstrate the causality of the microbiota-stimulated adaptive immune system on the development of metabolic disease. The gut microbiota of the immunized HFD-fed mice was characterized in order to demonstrate whether the manipulation of the microbiota to immune system interaction reverses the causal deleterious effect of gut microbiota dysbiosis on metabolic disease. Results: Subcutaneous injection (immunization procedure) of ileum microbial extracts prevented hyperglycemia and insulin resistance in a dose-dependent manner in response to a HFD. The immunization enhanced the proliferation of CD4 and CD8 T cells in lymphoid organs, also increased cytokine production and antibody secretion. As a mechanism explaining the metabolic improvement, the immunization procedure reversed gut microbiota dysbiosis. Finally, adoptive transfer of immune cells from immunized mice improved metabolic features in response to HFD. Conclusions: Glycemia and insulin sensitivity can be regulated by triggering the adaptive immunity to microbiota interaction. This reduces the gut microbiota dysbiosis induced by a fat-enriched diet. Keywords: Gut microbiota and metabolic diseases, Immunity, Insulin resistance |
| format | Article |
| id | doaj-art-e5665fbf701e453c8a5af6d69022b99a |
| institution | Directory of Open Access Journals |
| issn | 2212-8778 |
| language | English |
| publishDate | 2016-06-01 |
| publisher | Elsevier |
| record_format | Article |
| spelling | doaj-art-e5665fbf701e453c8a5af6d69022b99a2025-08-19T22:05:44ZengElsevierMolecular Metabolism2212-87782016-06-015639240310.1016/j.molmet.2016.03.004Triggering the adaptive immune system with commensal gut bacteria protects against insulin resistance and dysglycemiaCéline Pomié0Vincent Blasco-Baque1Pascale Klopp2Simon Nicolas3Aurélie Waget4Pascale Loubières5Vincent Azalbert6Anthony Puel7Frédéric Lopez8Cédric Dray9Philippe Valet10Benjamin Lelouvier11Florence Servant12Michael Courtney13Jacques Amar14Rémy Burcelin15Lucile Garidou16Institut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France; Université Paul Sabatier (UPS), Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Team 2: « Intestinal Risk Factors, Diabetes, Dyslipidemia », 1 avenue Jean Poulhès, BP 84225, F-31432 Toulouse Cedex 4, FranceInstitut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France; Université Paul Sabatier (UPS), Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Team 2: « Intestinal Risk Factors, Diabetes, Dyslipidemia », 1 avenue Jean Poulhès, BP 84225, F-31432 Toulouse Cedex 4, FranceInstitut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France; Université Paul Sabatier (UPS), Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Team 2: « Intestinal Risk Factors, Diabetes, Dyslipidemia », 1 avenue Jean Poulhès, BP 84225, F-31432 Toulouse Cedex 4, FranceInstitut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France; Université Paul Sabatier (UPS), Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Team 2: « Intestinal Risk Factors, Diabetes, Dyslipidemia », 1 avenue Jean Poulhès, BP 84225, F-31432 Toulouse Cedex 4, FranceInstitut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France; Université Paul Sabatier (UPS), Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Team 2: « Intestinal Risk Factors, Diabetes, Dyslipidemia », 1 avenue Jean Poulhès, BP 84225, F-31432 Toulouse Cedex 4, FranceInstitut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France; Université Paul Sabatier (UPS), Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Team 2: « Intestinal Risk Factors, Diabetes, Dyslipidemia », 1 avenue Jean Poulhès, BP 84225, F-31432 Toulouse Cedex 4, FranceInstitut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France; Université Paul Sabatier (UPS), Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Team 2: « Intestinal Risk Factors, Diabetes, Dyslipidemia », 1 avenue Jean Poulhès, BP 84225, F-31432 Toulouse Cedex 4, FranceInstitut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France; Université Paul Sabatier (UPS), Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Team 2: « Intestinal Risk Factors, Diabetes, Dyslipidemia », 1 avenue Jean Poulhès, BP 84225, F-31432 Toulouse Cedex 4, FranceGroupe Protéomique Centre Recherche Cancer Toulouse, Université Paul Sabatier (UPS), Unité Mixte de Recherche (UMR) 1037, 2 avenue Hubert Curien, CS 53717, 31037 Toulouse Cedex 1, FranceUniversité Paul Sabatier (UPS), Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Team 3: « Adipokines, obesity and associated Pathologies », 1 avenue Jean Poulhès, BP 84225, F-31432 Toulouse Cedex 4, FranceUniversité Paul Sabatier (UPS), Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Team 3: « Adipokines, obesity and associated Pathologies », 1 avenue Jean Poulhès, BP 84225, F-31432 Toulouse Cedex 4, FranceVAIOMER SAS, 516 Rue Pierre et Marie Curie, 31670 Labège, FranceVAIOMER SAS, 516 Rue Pierre et Marie Curie, 31670 Labège, FranceVAIOMER SAS, 516 Rue Pierre et Marie Curie, 31670 Labège, FranceInstitut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France; Université Paul Sabatier (UPS), Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Team 2: « Intestinal Risk Factors, Diabetes, Dyslipidemia », 1 avenue Jean Poulhès, BP 84225, F-31432 Toulouse Cedex 4, FranceInstitut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France; Université Paul Sabatier (UPS), Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Team 2: « Intestinal Risk Factors, Diabetes, Dyslipidemia », 1 avenue Jean Poulhès, BP 84225, F-31432 Toulouse Cedex 4, France; Corresponding author. INSERM UMR1048-I2MC, Team 2 “Intestinal Risk Factors, Diabetes and Dyslipidemia”, 1 avenue Jean Poulhès, BP84225, F-31432 Toulouse Cedex 4, France. Tel. +33 561 325 614; fax: +33 5 31 22 41 36.Institut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France; Université Paul Sabatier (UPS), Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Team 2: « Intestinal Risk Factors, Diabetes, Dyslipidemia », 1 avenue Jean Poulhès, BP 84225, F-31432 Toulouse Cedex 4, France; Corresponding author. INSERM UMR1048-I2MC, Team 2 “Intestinal Risk Factors, Diabetes and Dyslipidemia”, 1 avenue Jean Poulhès, BP84225, F-31432 Toulouse Cedex 4, France. Tel. +33 561 325 614; fax: +33 5 31 22 41 36.Objective: To demonstrate that glycemia and insulin resistance are controlled by a mechanism involving the adaptive immune system and gut microbiota crosstalk. Methods: We triggered the immune system with microbial extracts specifically from the intestinal ileum contents of HFD-diabetic mice by the process of immunization. 35 days later, immunized mice were fed a HFD for up to two months in order to challenge the development of metabolic features. The immune responses were quantified. Eventually, adoptive transfer of immune cells from the microbiota-immunized mice to naïve mice was performed to demonstrate the causality of the microbiota-stimulated adaptive immune system on the development of metabolic disease. The gut microbiota of the immunized HFD-fed mice was characterized in order to demonstrate whether the manipulation of the microbiota to immune system interaction reverses the causal deleterious effect of gut microbiota dysbiosis on metabolic disease. Results: Subcutaneous injection (immunization procedure) of ileum microbial extracts prevented hyperglycemia and insulin resistance in a dose-dependent manner in response to a HFD. The immunization enhanced the proliferation of CD4 and CD8 T cells in lymphoid organs, also increased cytokine production and antibody secretion. As a mechanism explaining the metabolic improvement, the immunization procedure reversed gut microbiota dysbiosis. Finally, adoptive transfer of immune cells from immunized mice improved metabolic features in response to HFD. Conclusions: Glycemia and insulin sensitivity can be regulated by triggering the adaptive immunity to microbiota interaction. This reduces the gut microbiota dysbiosis induced by a fat-enriched diet. Keywords: Gut microbiota and metabolic diseases, Immunity, Insulin resistancehttp://www.sciencedirect.com/science/article/pii/S2212877816300047 |
| spellingShingle | Céline Pomié Vincent Blasco-Baque Pascale Klopp Simon Nicolas Aurélie Waget Pascale Loubières Vincent Azalbert Anthony Puel Frédéric Lopez Cédric Dray Philippe Valet Benjamin Lelouvier Florence Servant Michael Courtney Jacques Amar Rémy Burcelin Lucile Garidou Triggering the adaptive immune system with commensal gut bacteria protects against insulin resistance and dysglycemia |
| title | Triggering the adaptive immune system with commensal gut bacteria protects against insulin resistance and dysglycemia |
| title_full | Triggering the adaptive immune system with commensal gut bacteria protects against insulin resistance and dysglycemia |
| title_fullStr | Triggering the adaptive immune system with commensal gut bacteria protects against insulin resistance and dysglycemia |
| title_full_unstemmed | Triggering the adaptive immune system with commensal gut bacteria protects against insulin resistance and dysglycemia |
| title_short | Triggering the adaptive immune system with commensal gut bacteria protects against insulin resistance and dysglycemia |
| title_sort | triggering the adaptive immune system with commensal gut bacteria protects against insulin resistance and dysglycemia |
| url | http://www.sciencedirect.com/science/article/pii/S2212877816300047 |
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