Gut Microbiota Interacts with Markers of Adipose Tissue Browning, Insulin Action and Plasma Acetate in Morbid Obesity
Scope To examine the potential relationship among gene expression markers of adipose tissue browning, gut microbiota, and insulin sensitivity in humans. Methods and results Gut microbiota composition and gene markers of browning are analyzed in subcutaneous (SAT) and visceral (VAT) adipose tissue fr...
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Published in | Molecular nutrition & food research Vol. 62; no. 3 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Germany
Wiley Subscription Services, Inc
01.02.2018
Wiley-VCH Verlag |
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Abstract | Scope
To examine the potential relationship among gene expression markers of adipose tissue browning, gut microbiota, and insulin sensitivity in humans.
Methods and results
Gut microbiota composition and gene markers of browning are analyzed in subcutaneous (SAT) and visceral (VAT) adipose tissue from morbidly obese subjects (n = 34). Plasma acetate is measured through 1H NMR and insulin sensitivity using euglycemic hyperinsulinemic clamp. Subjects with insulin resistance show an increase in the relative abundance (RA) of the phyla Bacteroidetes and Proteobacteria while RA of Firmicutes is decreased. In all subjects, Firmicutes RA is negatively correlated with HbA1c and fasting triglycerides, whereas Proteobacteria RA was negatively correlated with insulin sensitivity. Firmicutes RA is positively associated with markers of brown adipocytes (PRDM16, UCP1, and DIO2) in SAT, but not in VAT. Multivariate regression analysis indicates that Firmicutes RA contributes significantly to SAT PRDM16, UCP1, and DIO2 mRNA variance after controlling for age, BMI, HbA1c, or insulin sensitivity. Interestingly, Firmicutes RA, specifically those bacteria belonging to the Ruminococcaceae family, is positively associated with plasma acetate levels, which are also linked to SAT PRDM16 mRNA and insulin sensitivity.
Conclusion
Gut microbiota composition is linked to adipose tissue browning and insulin action in morbidly obese subjects, possibly through circulating acetate.
This figure indicates the association among Ruminococcaceae family, plasma acetate levels, SAT expression of browning‐related genes and insulin sensitivity, suggesting that increased Ruminococcaceae‐enhanced acetate biosynthesis might promote SAT browning and systemic insulin sensitivity in morbidily obese subjects. |
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AbstractList | Scope
To examine the potential relationship among gene expression markers of adipose tissue browning, gut microbiota, and insulin sensitivity in humans.
Methods and results
Gut microbiota composition and gene markers of browning are analyzed in subcutaneous (SAT) and visceral (VAT) adipose tissue from morbidly obese subjects (
n
= 34). Plasma acetate is measured through
1
H NMR and insulin sensitivity using euglycemic hyperinsulinemic clamp. Subjects with insulin resistance show an increase in the relative abundance (RA) of the phyla Bacteroidetes and Proteobacteria while RA of Firmicutes is decreased. In all subjects, Firmicutes RA is negatively correlated with HbA
1c
and fasting triglycerides, whereas Proteobacteria RA was negatively correlated with insulin sensitivity. Firmicutes RA is positively associated with markers of brown adipocytes (
PRDM16
,
UCP1
, and
DIO2
) in SAT, but not in VAT. Multivariate regression analysis indicates that Firmicutes RA contributes significantly to SAT
PRDM16
,
UCP1
, and
DIO2
mRNA variance after controlling for age, BMI, HbA
1c
, or insulin sensitivity. Interestingly, Firmicutes RA, specifically those bacteria belonging to the
Ruminococcaceae
family, is positively associated with plasma acetate levels, which are also linked to SAT
PRDM16
mRNA and insulin sensitivity.
Conclusion
Gut microbiota composition is linked to adipose tissue browning and insulin action in morbidly obese subjects, possibly through circulating acetate. Scope To examine the potential relationship among gene expression markers of adipose tissue browning, gut microbiota, and insulin sensitivity in humans. Methods and results Gut microbiota composition and gene markers of browning are analyzed in subcutaneous (SAT) and visceral (VAT) adipose tissue from morbidly obese subjects (n = 34). Plasma acetate is measured through 1H NMR and insulin sensitivity using euglycemic hyperinsulinemic clamp. Subjects with insulin resistance show an increase in the relative abundance (RA) of the phyla Bacteroidetes and Proteobacteria while RA of Firmicutes is decreased. In all subjects, Firmicutes RA is negatively correlated with HbA1c and fasting triglycerides, whereas Proteobacteria RA was negatively correlated with insulin sensitivity. Firmicutes RA is positively associated with markers of brown adipocytes (PRDM16, UCP1, and DIO2) in SAT, but not in VAT. Multivariate regression analysis indicates that Firmicutes RA contributes significantly to SAT PRDM16, UCP1, and DIO2 mRNA variance after controlling for age, BMI, HbA1c, or insulin sensitivity. Interestingly, Firmicutes RA, specifically those bacteria belonging to the Ruminococcaceae family, is positively associated with plasma acetate levels, which are also linked to SAT PRDM16 mRNA and insulin sensitivity. Conclusion Gut microbiota composition is linked to adipose tissue browning and insulin action in morbidly obese subjects, possibly through circulating acetate. This figure indicates the association among Ruminococcaceae family, plasma acetate levels, SAT expression of browning‐related genes and insulin sensitivity, suggesting that increased Ruminococcaceae‐enhanced acetate biosynthesis might promote SAT browning and systemic insulin sensitivity in morbidily obese subjects. Scope To examine the potential relationship among gene expression markers of adipose tissue browning, gut microbiota, and insulin sensitivity in humans. Methods and results Gut microbiota composition and gene markers of browning are analyzed in subcutaneous (SAT) and visceral (VAT) adipose tissue from morbidly obese subjects (n = 34). Plasma acetate is measured through 1H NMR and insulin sensitivity using euglycemic hyperinsulinemic clamp. Subjects with insulin resistance show an increase in the relative abundance (RA) of the phyla Bacteroidetes and Proteobacteria while RA of Firmicutes is decreased. In all subjects, Firmicutes RA is negatively correlated with HbA1c and fasting triglycerides, whereas Proteobacteria RA was negatively correlated with insulin sensitivity. Firmicutes RA is positively associated with markers of brown adipocytes (PRDM16, UCP1, and DIO2) in SAT, but not in VAT. Multivariate regression analysis indicates that Firmicutes RA contributes significantly to SAT PRDM16, UCP1, and DIO2 mRNA variance after controlling for age, BMI, HbA1c, or insulin sensitivity. Interestingly, Firmicutes RA, specifically those bacteria belonging to the Ruminococcaceae family, is positively associated with plasma acetate levels, which are also linked to SAT PRDM16 mRNA and insulin sensitivity. Conclusion Gut microbiota composition is linked to adipose tissue browning and insulin action in morbidly obese subjects, possibly through circulating acetate. To examine the potential relationship among gene expression markers of adipose tissue browning, gut microbiota, and insulin sensitivity in humans. Gut microbiota composition and gene markers of browning are analyzed in subcutaneous (SAT) and visceral (VAT) adipose tissue from morbidly obese subjects (n = 34). Plasma acetate is measured through H NMR and insulin sensitivity using euglycemic hyperinsulinemic clamp. Subjects with insulin resistance show an increase in the relative abundance (RA) of the phyla Bacteroidetes and Proteobacteria while RA of Firmicutes is decreased. In all subjects, Firmicutes RA is negatively correlated with HbA and fasting triglycerides, whereas Proteobacteria RA was negatively correlated with insulin sensitivity. Firmicutes RA is positively associated with markers of brown adipocytes (PRDM16, UCP1, and DIO2) in SAT, but not in VAT. Multivariate regression analysis indicates that Firmicutes RA contributes significantly to SAT PRDM16, UCP1, and DIO2 mRNA variance after controlling for age, BMI, HbA , or insulin sensitivity. Interestingly, Firmicutes RA, specifically those bacteria belonging to the Ruminococcaceae family, is positively associated with plasma acetate levels, which are also linked to SAT PRDM16 mRNA and insulin sensitivity. Gut microbiota composition is linked to adipose tissue browning and insulin action in morbidly obese subjects, possibly through circulating acetate. SCOPETo examine the potential relationship among gene expression markers of adipose tissue browning, gut microbiota, and insulin sensitivity in humans.METHODS AND RESULTSGut microbiota composition and gene markers of browning are analyzed in subcutaneous (SAT) and visceral (VAT) adipose tissue from morbidly obese subjects (n = 34). Plasma acetate is measured through 1 H NMR and insulin sensitivity using euglycemic hyperinsulinemic clamp. Subjects with insulin resistance show an increase in the relative abundance (RA) of the phyla Bacteroidetes and Proteobacteria while RA of Firmicutes is decreased. In all subjects, Firmicutes RA is negatively correlated with HbA1c and fasting triglycerides, whereas Proteobacteria RA was negatively correlated with insulin sensitivity. Firmicutes RA is positively associated with markers of brown adipocytes (PRDM16, UCP1, and DIO2) in SAT, but not in VAT. Multivariate regression analysis indicates that Firmicutes RA contributes significantly to SAT PRDM16, UCP1, and DIO2 mRNA variance after controlling for age, BMI, HbA1c , or insulin sensitivity. Interestingly, Firmicutes RA, specifically those bacteria belonging to the Ruminococcaceae family, is positively associated with plasma acetate levels, which are also linked to SAT PRDM16 mRNA and insulin sensitivity.CONCLUSIONGut microbiota composition is linked to adipose tissue browning and insulin action in morbidly obese subjects, possibly through circulating acetate. Scope: To examine the potential relationship among gene expression markers of adipose tissue browning, gut microbiota, and insulin sensitivity in humans. Methods and results: Gut microbiota composition and gene markers of browning are analyzed in subcutaneous (SAT) and visceral (VAT) adipose tissue from morbidly obese subjects (n = 34). Plasma acetate is measured through H-1 NMR and insulin sensitivity using euglycemic hyperinsulinemic clamp. Subjects with insulin resistance show an increase in the relative abundance (RA) of the phyla Bacteroidetes and Proteobacteria while RA of Firmicutes is decreased. In all subjects, Firmicutes RA is negatively correlated with HbA(1c) and fasting triglycerides, whereas Proteobacteria RA was negatively correlated with insulin sensitivity. Firmicutes RA is positively associated with markers of brown adipocytes (PRDM16, UCP1, and DIO2) in SAT, but not in VAT. Multivariate regression analysis indicates that Firmicutes RA contributes significantly to SAT PRDM16, UCP1, and DIO2 mRNA variance after controlling for age, BMI, HbA(1c), or insulin sensitivity. Interestingly, Firmicutes RA, specifically those bacteria belonging to the Ruminococcaceae family, is positively associated with plasma acetate levels, which are also linked to SAT PRDM16 mRNA and insulin sensitivity. Conclusion: Gut microbiota composition is linked to adipose tissue browning and insulin action in morbidly obese subjects, possibly through circulating acetate. |
Author | Fernández‐Real, José Manuel Azalbert, Vincent Ricart, Wifredo Cardellini, Marina Sabater‐Masdeu, Mònica Moreno‐Navarrete, José María Latorre, Jèssica Federici, Massimo Blasco‐Baque, Vincent Serino, Matteo Burcelin, Rémy Barton, Richard H. Ortega, Francisco Dumas, Marc‐Emmanuel |
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Cites_doi | 10.1016/j.cmet.2017.08.019 10.3164/jcbn.16-23 10.1172/JCI86080 10.1271/bbb.80634 10.1038/oby.2011.111 10.1159/000447690 10.1155/2017/3831972 10.1038/s41598-017-02546-x 10.2337/db15-0227 10.1016/j.celrep.2016.01.026 10.1038/nmeth.1923 10.1016/j.tem.2015.07.002 10.1136/gutjnl-2011-301012 10.1038/srep13212 10.1007/s00125-015-3712-7 10.1186/s13073-016-0312-1 10.2337/dc13-1602 10.1042/CS20160263 10.1172/JCI78362 10.1016/j.cell.2015.11.004 10.1007/s00125-012-2648-4 10.1038/nrendo.2015.128 10.1126/science.aac4812 10.1093/femsle/fnv104 10.1016/j.numecd.2012.09.002 10.1016/j.mce.2015.01.042 10.1038/nature12198 10.1093/bioinformatics/btr026 10.1017/S0007114516002245 10.15252/msb.20167356 10.1016/j.cell.2013.12.021 10.1038/nature11450 10.1038/nmeth.f.303 10.1038/nature07540 10.1210/jc.2016-1797 10.1007/s00125-016-4028-y 10.3945/ajcn.110.010132 10.1210/jc.2015-3351 10.1210/en.2015-1944 10.1053/j.gastro.2014.03.001 10.1016/j.febslet.2014.09.039 10.1038/srep37589 10.1101/gr.085464.108 10.1038/ijo.2016.23 |
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Copyright | 2017 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Distributed under a Creative Commons Attribution 4.0 International License |
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Keywords | microbiota adipose tissue insulin sensitivity metabolome obesity Metabolome Obesity Microbiota Adipose tissue Insulin sensitivity |
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References | 2012; 61 2015; 163 2017; 7 2015; 58 2015; 5 2017; 26 2017; 2017 2011 2013; 23 2015; 125 2015; 11 2015; 362 2016; 101 2016; 94 2015; 405 2016; 126 2015; 349 2016; 59 2012; 55 2016; 14 2014; 156 2009; 457 2015; 26 2016; 6 2009; 73 2015; 64 2017; 13 2011; 94 2012; 490 2016; 157 2016; 21 2014; 37 2016; 40 2013; 498 2016; 116 2009; 19 2011; 27 2016; 8 2010; 7 2012; 20 2014; 588 2016; 130 2014; 146 2012; 9 e_1_2_8_28_1 e_1_2_8_29_1 e_1_2_8_47_1 e_1_2_8_25_1 e_1_2_8_46_1 e_1_2_8_26_1 e_1_2_8_27_1 Ravussin Y. (e_1_2_8_6_1) 2012; 20 e_1_2_8_3_1 e_1_2_8_2_1 e_1_2_8_5_1 e_1_2_8_4_1 e_1_2_8_7_1 e_1_2_8_9_1 Gagen E. J. (e_1_2_8_44_1) 2015; 362 e_1_2_8_8_1 e_1_2_8_20_1 e_1_2_8_43_1 e_1_2_8_21_1 e_1_2_8_42_1 e_1_2_8_22_1 e_1_2_8_45_1 e_1_2_8_23_1 der Beek C. M. (e_1_2_8_24_1) 2016; 130 e_1_2_8_41_1 e_1_2_8_40_1 e_1_2_8_17_1 e_1_2_8_18_1 e_1_2_8_39_1 e_1_2_8_19_1 e_1_2_8_13_1 e_1_2_8_36_1 e_1_2_8_14_1 e_1_2_8_35_1 e_1_2_8_15_1 e_1_2_8_38_1 e_1_2_8_16_1 e_1_2_8_37_1 Pedersen H. K. (e_1_2_8_32_1) 2016; 21 e_1_2_8_10_1 e_1_2_8_31_1 e_1_2_8_11_1 e_1_2_8_34_1 e_1_2_8_12_1 e_1_2_8_33_1 e_1_2_8_30_1 |
References_xml | – year: 2011 – volume: 2017 start-page: 3831972 year: 2017 publication-title: Oxid. Med. Cell Longev. – volume: 64 start-page: 2361 year: 2015 publication-title: Diabetes – volume: 73 start-page: 570 year: 2009 publication-title: Biosci. Biotechnol. Biochem. – volume: 349 start-page: 1101 year: 2015 publication-title: Science – volume: 498 start-page: 99 year: 2013 publication-title: Nature – volume: 7 start-page: 335 year: 2010 publication-title: Nat. Methods – volume: 58 start-page: 2206 year: 2015 publication-title: Diabetologia – volume: 6 start-page: 37589 year: 2016 publication-title: Sci. Rep. – volume: 588 start-page: 4223 year: 2014 publication-title: FEBS Lett. – volume: 14 start-page: 1655 year: 2016 publication-title: Cell Rep. – volume: 362 start-page: 14 year: 2015 publication-title: FEMS Microbiol. Lett. – volume: 19 start-page: 1141 year: 2009 publication-title: Genome Res. – volume: 94 start-page: 66 year: 2016 publication-title: Digestion – volume: 27 start-page: 863 year: 2011 publication-title: Bioinformatics – volume: 9 start-page: 357 year: 2012 publication-title: Nat. Methods – volume: 101 start-page: 233 year: 2016 publication-title: J. Clin. Endocrinol. Metab. – volume: 101 start-page: 4367 year: 2016 publication-title: J. Clin. Endocrinol. Metab. – volume: 163 start-page: 1360 year: 2015 publication-title: Cell – volume: 61 start-page: 543 year: 2012 publication-title: Gut – volume: 8 start-page: 67 year: 2016 publication-title: Genome Med. – volume: 13 start-page: 921 year: 2017 publication-title: Mol. Syst. Biol. – volume: 11 start-page: 577 year: 2015 publication-title: Nat. Rev. Endocrinol. – volume: 157 start-page: 1881 year: 2016 publication-title: Endocrinology – volume: 59 start-page: 207 year: 2016 publication-title: J. Clin. Biochem. Nutr. – volume: 125 start-page: 478 year: 2015 publication-title: J. Clin. Invest. – volume: 59 start-page: 2208 year: 2016 publication-title: Diabetologia – volume: 457 start-page: 480 year: 2009 publication-title: Nature – volume: 490 start-page: 55 year: 2012 publication-title: Nature – volume: 26 start-page: 493 year: 2015 publication-title: Trends Endocrinol. Metab. – volume: 5 start-page: 13212 year: 2015 publication-title: Sci. Rep. – volume: 130 start-page: 2073 year: 2016 publication-title: Clin. Sci. (Lond) – volume: 7 start-page: 2360 year: 2017 publication-title: Sci Rep. – volume: 405 start-page: 84 year: 2015 publication-title: Mol. Cell. Endocrinol. – volume: 23 start-page: 160 year: 2013 publication-title: Nutr. Metab. Cardiovasc. Dis. – volume: 40 start-page: 955 year: 2016 publication-title: Int. J. Obes. (Lond) – volume: 116 start-page: 451 year: 2016 publication-title: Br. J. Nutr. – volume: 21 start-page: 535 year: 2016 publication-title: Nature – volume: 26 start-page: 672 year: 2017 publication-title: Cell Metab. – volume: 146 start-page: 1470 year: 2014 publication-title: Gastroenterology – volume: 55 start-page: 2823 year: 2012 publication-title: Diabetologia – volume: 20 start-page: 736 year: 2012 publication-title: Obesity (Silver Spring) – volume: 94 start-page: 58 year: 2011 publication-title: Am. J. Clin. Nutr. – volume: 156 start-page: 304 year: 2014 publication-title: Cell – volume: 126 start-page: 2839 year: 2016 publication-title: J. Clin. Invest. – volume: 37 start-page: 1092 year: 2014 publication-title: Diabetes Care – ident: e_1_2_8_10_1 doi: 10.1016/j.cmet.2017.08.019 – ident: e_1_2_8_28_1 doi: 10.3164/jcbn.16-23 – ident: e_1_2_8_12_1 doi: 10.1172/JCI86080 – ident: e_1_2_8_26_1 doi: 10.1271/bbb.80634 – volume: 20 start-page: 736 year: 2012 ident: e_1_2_8_6_1 publication-title: Obesity (Silver Spring) doi: 10.1038/oby.2011.111 contributor: fullname: Ravussin Y. – ident: e_1_2_8_40_1 doi: 10.1159/000447690 – ident: e_1_2_8_46_1 doi: 10.1155/2017/3831972 – ident: e_1_2_8_45_1 doi: 10.1038/s41598-017-02546-x – ident: e_1_2_8_13_1 doi: 10.2337/db15-0227 – ident: e_1_2_8_30_1 doi: 10.1016/j.celrep.2016.01.026 – ident: e_1_2_8_22_1 doi: 10.1038/nmeth.1923 – ident: e_1_2_8_5_1 doi: 10.1016/j.tem.2015.07.002 – ident: e_1_2_8_17_1 doi: 10.1136/gutjnl-2011-301012 – ident: e_1_2_8_21_1 – ident: e_1_2_8_34_1 doi: 10.1038/srep13212 – ident: e_1_2_8_36_1 doi: 10.1007/s00125-015-3712-7 – ident: e_1_2_8_7_1 doi: 10.1186/s13073-016-0312-1 – ident: e_1_2_8_16_1 doi: 10.2337/dc13-1602 – volume: 130 start-page: 2073 year: 2016 ident: e_1_2_8_24_1 publication-title: Clin. Sci. (Lond) doi: 10.1042/CS20160263 contributor: fullname: der Beek C. M. – ident: e_1_2_8_14_1 doi: 10.1172/JCI78362 – ident: e_1_2_8_9_1 doi: 10.1016/j.cell.2015.11.004 – volume: 21 start-page: 535 year: 2016 ident: e_1_2_8_32_1 publication-title: Nature contributor: fullname: Pedersen H. K. – ident: e_1_2_8_42_1 doi: 10.1007/s00125-012-2648-4 – ident: e_1_2_8_29_1 doi: 10.1038/nrendo.2015.128 – ident: e_1_2_8_35_1 doi: 10.1126/science.aac4812 – volume: 362 start-page: 14 year: 2015 ident: e_1_2_8_44_1 publication-title: FEMS Microbiol. Lett. doi: 10.1093/femsle/fnv104 contributor: fullname: Gagen E. J. – ident: e_1_2_8_4_1 doi: 10.1016/j.numecd.2012.09.002 – ident: e_1_2_8_15_1 doi: 10.1016/j.mce.2015.01.042 – ident: e_1_2_8_37_1 doi: 10.1038/nature12198 – ident: e_1_2_8_20_1 doi: 10.1093/bioinformatics/btr026 – ident: e_1_2_8_39_1 doi: 10.1017/S0007114516002245 – ident: e_1_2_8_19_1 doi: 10.15252/msb.20167356 – ident: e_1_2_8_11_1 doi: 10.1016/j.cell.2013.12.021 – ident: e_1_2_8_38_1 doi: 10.1038/nature11450 – ident: e_1_2_8_23_1 doi: 10.1038/nmeth.f.303 – ident: e_1_2_8_18_1 doi: 10.1038/nature07540 – ident: e_1_2_8_43_1 doi: 10.1210/jc.2016-1797 – ident: e_1_2_8_47_1 doi: 10.1007/s00125-016-4028-y – ident: e_1_2_8_31_1 doi: 10.3945/ajcn.110.010132 – ident: e_1_2_8_33_1 doi: 10.1210/jc.2015-3351 – ident: e_1_2_8_25_1 doi: 10.1210/en.2015-1944 – ident: e_1_2_8_3_1 doi: 10.1053/j.gastro.2014.03.001 – ident: e_1_2_8_8_1 doi: 10.1016/j.febslet.2014.09.039 – ident: e_1_2_8_41_1 doi: 10.1038/srep37589 – ident: e_1_2_8_2_1 doi: 10.1101/gr.085464.108 – ident: e_1_2_8_27_1 doi: 10.1038/ijo.2016.23 |
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To examine the potential relationship among gene expression markers of adipose tissue browning, gut microbiota, and insulin sensitivity in humans.... To examine the potential relationship among gene expression markers of adipose tissue browning, gut microbiota, and insulin sensitivity in humans. Gut... Scope To examine the potential relationship among gene expression markers of adipose tissue browning, gut microbiota, and insulin sensitivity in humans.... SCOPETo examine the potential relationship among gene expression markers of adipose tissue browning, gut microbiota, and insulin sensitivity in humans.METHODS... Scope: To examine the potential relationship among gene expression markers of adipose tissue browning, gut microbiota, and insulin sensitivity in humans.... |
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SubjectTerms | Acetates - blood Acetic acid Adipocytes Adipose tissue Adipose Tissue - physiology Adipose Tissue - physiopathology Adipose Tissue, White - metabolism Adipose Tissue, White - physiopathology Adult Bacteria Biomarkers Body mass Browning DNA-Binding Proteins - genetics Female Firmicutes Gastrointestinal Microbiome - physiology Gene expression Glucose Glucose Transporter Type 4 - genetics Human health and pathology Humans Hépatology and Gastroenterology Insulin Insulin Receptor Substrate Proteins - genetics Insulin Resistance insulin sensitivity Intestinal microflora Iodide Peroxidase - genetics Iodothyronine Deiodinase Type II Life Sciences Male Markers metabolome Microbiota Middle Aged NMR Nuclear magnetic resonance Obesity Obesity, Morbid - microbiology Obesity, Morbid - physiopathology Proteobacteria Regression analysis Relative abundance Sensitivity Transcription Factors - genetics Triglycerides Uncoupling Protein 1 - genetics |
Title | Gut Microbiota Interacts with Markers of Adipose Tissue Browning, Insulin Action and Plasma Acetate in Morbid Obesity |
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