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Lipid-rich diet enhances L-cell density in obese subjects and in mice through improved L-cell differentiation

Published online by Cambridge University Press:  20 May 2015

Thomas Aranias
Affiliation:
Inserm UMR_S 1138, Centre de Recherche des Cordeliers; Sorbonne universités, UPMC Univ Paris 06; Sorbonne Cités, UPD Univ Paris 05; F-75006, Paris, France
Alexandra Grosfeld*
Affiliation:
Inserm UMR_S 1138, Centre de Recherche des Cordeliers; Sorbonne universités, UPMC Univ Paris 06; Sorbonne Cités, UPD Univ Paris 05; F-75006, Paris, France Institut de Cardiométabolisme et Nutrition, ICAN, Pitié-Salpêtrière Hospital, Paris, France
Christine Poitou
Affiliation:
Institut de Cardiométabolisme et Nutrition, ICAN, Pitié-Salpêtrière Hospital, Paris, France Sorbonne universités, UPMC Univ Paris 06, UMR_S ICAN U1166; Inserm; Nutriomic Team, F-75013, Paris, France Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Heart and Metabolism Department, Nutrition Unit, 47–83 Boulevard de l'Hôpital, 75651 Paris Cedex 13, France
Amal Ait Omar
Affiliation:
Inserm UMR_S 1138, Centre de Recherche des Cordeliers; Sorbonne universités, UPMC Univ Paris 06; Sorbonne Cités, UPD Univ Paris 05; F-75006, Paris, France
Maude Le Gall
Affiliation:
Inserm UMR_S 1138, Centre de Recherche des Cordeliers; Sorbonne universités, UPMC Univ Paris 06; Sorbonne Cités, UPD Univ Paris 05; F-75006, Paris, France Inserm UMR_S 1149, DHU Unity, UFR de Médecine Paris Diderot; Sorbonne Cités, UPD Univ Paris 05, F-75890, Paris, France
Sylvie Miquel
Affiliation:
INRA UMR 1319 Micalis, Interactions des Commensales et Probiotiques avec l'Hôte, F-78350 Jouy-en-Josas, France AgroParisTech, UMR 1319 Micalis, F-78350 Jouy-en-Josas, France
Kévin Garbin
Affiliation:
Inserm UMR_S 1138, Centre de Recherche des Cordeliers; Sorbonne universités, UPMC Univ Paris 06; Sorbonne Cités, UPD Univ Paris 05; F-75006, Paris, France
Agnès Ribeiro
Affiliation:
Inserm UMR_S 1138, Centre de Recherche des Cordeliers; Sorbonne universités, UPMC Univ Paris 06; Sorbonne Cités, UPD Univ Paris 05; F-75006, Paris, France Institut de Cardiométabolisme et Nutrition, ICAN, Pitié-Salpêtrière Hospital, Paris, France
Jean-Luc Bouillot
Affiliation:
Assistance Publique-Hôpitaux de Paris, Surgery Department, Ambroise Paré Hospital, Boulogne-Billancourt, France
André Bado
Affiliation:
Inserm UMR_S 1149, DHU Unity, UFR de Médecine Paris Diderot; Sorbonne Cités, UPD Univ Paris 05, F-75890, Paris, France
Edith Brot-Laroche
Affiliation:
Inserm UMR_S 1138, Centre de Recherche des Cordeliers; Sorbonne universités, UPMC Univ Paris 06; Sorbonne Cités, UPD Univ Paris 05; F-75006, Paris, France Institut de Cardiométabolisme et Nutrition, ICAN, Pitié-Salpêtrière Hospital, Paris, France
Karine Clément
Affiliation:
Institut de Cardiométabolisme et Nutrition, ICAN, Pitié-Salpêtrière Hospital, Paris, France Sorbonne universités, UPMC Univ Paris 06, UMR_S ICAN U1166; Inserm; Nutriomic Team, F-75013, Paris, France Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Heart and Metabolism Department, Nutrition Unit, 47–83 Boulevard de l'Hôpital, 75651 Paris Cedex 13, France
Armelle Leturque
Affiliation:
Inserm UMR_S 1138, Centre de Recherche des Cordeliers; Sorbonne universités, UPMC Univ Paris 06; Sorbonne Cités, UPD Univ Paris 05; F-75006, Paris, France Institut de Cardiométabolisme et Nutrition, ICAN, Pitié-Salpêtrière Hospital, Paris, France
Sandra Guilmeau
Affiliation:
Inserm UMR_S 1149, DHU Unity, UFR de Médecine Paris Diderot; Sorbonne Cités, UPD Univ Paris 05, F-75890, Paris, France Institut Cochin, Inserm UMR_S 1016, CNRS UMR 8104, Sorbonne Cités, UPD Univ Paris 05; Endocrinology, Metabolism and Diabetes Department, F-75014; Paris, France
Patricia Serradas
Affiliation:
Inserm UMR_S 1138, Centre de Recherche des Cordeliers; Sorbonne universités, UPMC Univ Paris 06; Sorbonne Cités, UPD Univ Paris 05; F-75006, Paris, France Institut de Cardiométabolisme et Nutrition, ICAN, Pitié-Salpêtrière Hospital, Paris, France
*
* Corresponding author: Dr Alexandra Grosfeld, fax +33 143251615, email alexandra.grosfeld@crc.jussieu.fr

Abstract

The enterohormone glucagon-like peptide-1 (GLP-1) is required to amplify glucose-induced insulin secretion that facilitates peripheral glucose utilisation. Alteration in GLP-1 secretion during obesity has been reported but is still controversial. Due to the high adaptability of intestinal cells to environmental changes, we hypothesised that the density of GLP-1-producing cells could be modified by nutritional factors to prevent the deterioration of metabolic condition in obesity. We quantified L-cell density in jejunum samples collected during Roux-en-Y gastric bypass in forty-nine severely obese subjects analysed according to their fat consumption. In mice, we deciphered the mechanisms by which a high-fat diet (HFD) makes an impact on enteroendocrine cell density and function. L-cell density in the jejunum was higher in obese subjects consuming >30 % fat compared with low fat eaters. Mice fed a HFD for 8 weeks displayed an increase in GLP-1-positive cells in the jejunum and colon accordingly to GLP-1 secretion. The regulation by the HFD appears specific to GLP-1-producing cells, as the number of PYY (peptide YY)-positive cells remained unchanged. Moreover, genetically obese ob/ob mice did not show alteration of GLP-1-positive cell density in the jejunum or colon, suggesting that obesity per se is not sufficient to trigger the mechanism. The higher L-cell density in HFD-fed mice involved a rise in L-cell terminal differentiation as witnessed by the increased expression of transcription factors downstream of neurogenin3 (Ngn3). We suggest that the observed increase in GLP-1-positive cell density triggered by high fat consumption in humans and mice might favour insulin secretion and therefore constitute an adaptive response of the intestine to balance diet-induced insulin resistance.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s) 2015
Figure 0

Table 1. Composition of mouse diets*

Figure 1

Table 2. Bioclinical parameters and endocrine L-cell density in obese subjects(Mean values with their standard errors, or numbers of subjects and percentages)

Figure 2

Table 3. Metabolic parameters of mice fed the control diet (CD) or the high-fat diet (HFD)†(Mean values with their standard errors)

Figure 3

Fig. 1. High-fat diet (HFD; ■) consumption increases glucose-stimulated glucagon-like peptide-1 (GLP-1) secretion and GLP-1 cell density in the intestine of mice. Mice fed a control diet (CD; □) or the HFD for 2 or 8 weeks were sampled 15 min after an oral glucose test (4 g/kg) for the measurement of plasma total GLP-1 (a) and plasma glucose-dependent insulinotropic polypeptide (GIP) (b) concentrations (n 5–8). mRNA analysis (c–e) and enteroendocrine cell quantification (f–i) of mice fed the CD or HFD. mRNA expression (n 7–8) of preproglucagon (PPG) (c, d) and peptide YY (PYY) (e). Fluorescence activated cell sorting (FACS) quantification (f) of GLP-1-positive cells relative to total isolated epithelial cells (n 7–10). Immunostaining quantification (g) of GLP-1 cells in the jejunum of mice after 8 weeks of diet (n 4). Immunostaining quantification (h) of GLP-1 cells in the colon of mice (n 4). Immunostaining quantification (i) of PYY cells in the colon of mice (n 4). Values are means, with standard errors represented by vertical bars. Mean value was significantly different from that of the CD group: * P < 0·05, ** P < 0·01, *** P < 0·001 (non-parametric Mann–Whitney test).

Figure 4

Fig. 2. No modification of enteroendocrine cell density in genetically obese ob/ob () mice. Enteroendocrine cell density in lean (wild type; □) and ob/ob mice fed the control diet. Quantification after immunostaining (n 3–4) of glucagon-like peptide-1 (GLP-1) cells in the jejunum (a), GLP-1 cells in the colon (b) and peptide YY (PYY) cells in the colon (c). Values are means, with standard errors represented by vertical bars. Statistical analysis was performed using a non-parametric Mann–Whitney test; there were no significant differences between the groups.

Figure 5

Fig. 3. High-fat diet (HFD; ■) consumption does not modify enteroendocrine cell proliferation or apoptosis in mice. Representative double immunofluorescent staining (n 7–8) of glucagon-like peptide-1 (GLP-1) (green) and bromodeoxyuridine (BrdU) (red) with DAPI (4′,6-diamidino-2-phenylindole) staining (blue) in the jejunum (a) of mice fed a control diet (CD; □) or the HFD for 2 weeks. The lower panels of (a) show GLP-1 and BrdU double-positive cells whereas the upper panels of (a) show GLP-1-positive BrdU-negative cells (highlighted with dotted circles). The scale bar represents 10 μm. Quantification as percentage of proliferating GLP-1 cells over total GLP-1 cells in the jejunum (b) and colon (c). Representative immunostaining (n 6–8) of cleaved caspase-3 positive cells in the jejunum (d) of mice fed the CD or HFD for 2 weeks. The scale bar represents 20 μm. Quantification of stained cells in the jejunum (e) and colon (f). Values are means, with standard errors represented by vertical bars. Statistical analysis was performed using a non-parametric Mann–Whitney test; there were no significant differences between the groups.

Figure 6

Fig. 4. High-fat diet (HFD) consumption increases the mRNA abundance of transcription factors involved in L-enteroendocrine cell differentiation downstream of neurogenin3 (Ngn3). mRNA expression of mice fed a control diet (CD) for 2 weeks (□) or 8 weeks (=) or the HFD for 2 weeks (■) or 8 weeks (≡) were quantified by quantitative PCR and expression was normalised to TATA-binding protein (TBP). mRNA expression (n 6–8) of Ngn3 (a), paired box protein-6 (Pax6) (b), insulin gene enhancer protein-1 (Isl1) (c), forkhead box protein A1 (Foxa1) (d) and forkhead box protein A2 (Foxa2) (e). Values are means, with standard errors represented by vertical bars. Mean value was significantly different from that of the CD group: * P < 0·05, ** P < 0·01 (non-parametric Mann–Whitney test).

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