Dietary switch to Western diet induces hypothalamic adaptation associated with gut microbiota dysbiosis in rats.


Journal

International journal of obesity (2005)
ISSN: 1476-5497
Titre abrégé: Int J Obes (Lond)
Pays: England
ID NLM: 101256108

Informations de publication

Date de publication:
06 2021
Historique:
received: 03 06 2020
accepted: 23 02 2021
revised: 01 02 2021
pubmed: 15 3 2021
medline: 27 1 2022
entrez: 14 3 2021
Statut: ppublish

Résumé

Early hyperphagia and hypothalamic inflammation encountered after Western diet (WD) are linked to rodent propensity to obesity. Inflammation in several brain structures has been associated with gut dysbiosis. Since gut microbiota is highly sensitive to dietary changes, we hypothesised that immediate gut microbiota adaptation to WD in rats is involved in inflammation-related hypothalamic modifications. We evaluated short-term impact of WD consumption (2 h, 1, 2 and 4 days) on hypothalamic metabolome and caecal microbiota composition and metabolome. Data integration analyses were performed to uncover potential relationships among these three datasets. Finally, changes in hypothalamic gene expression in absence of gut microbiota were evaluated in germ-free rats fed WD for 2 days. WD quickly and profoundly affected the levels of several hypothalamic metabolites, especially oxidative stress markers. In parallel, WD consumption reduced caecal microbiota diversity, modified its composition towards pro-inflammatory profile and changed caecal metabolome. Data integration identified strong correlations between gut microbiota sub-networks, unidentified caecal metabolites and hypothalamic oxidative stress metabolites. Germ-free rats displayed reduced energy intake and no changes in redox homoeostasis machinery expression or pro-inflammatory cytokines after 2 days of WD, in contrast to conventional rats, which exhibited increased SOD2, GLRX and IL-6 mRNA levels. A potentially pro-inflammatory gut microbiota and an early hypothalamic oxidative stress appear shortly after WD introduction. Tripartite data integration highlighted putative links between gut microbiota sub-networks and hypothalamic oxidative stress. Together with the absence of hypothalamic modifications in germ-free rats, this strongly suggests the involvement of the microbiota-hypothalamus axis in rat adaptation to WD introduction and in energy homoeostasis regulation.

Sections du résumé

BACKGROUND
Early hyperphagia and hypothalamic inflammation encountered after Western diet (WD) are linked to rodent propensity to obesity. Inflammation in several brain structures has been associated with gut dysbiosis. Since gut microbiota is highly sensitive to dietary changes, we hypothesised that immediate gut microbiota adaptation to WD in rats is involved in inflammation-related hypothalamic modifications.
METHODS
We evaluated short-term impact of WD consumption (2 h, 1, 2 and 4 days) on hypothalamic metabolome and caecal microbiota composition and metabolome. Data integration analyses were performed to uncover potential relationships among these three datasets. Finally, changes in hypothalamic gene expression in absence of gut microbiota were evaluated in germ-free rats fed WD for 2 days.
RESULTS
WD quickly and profoundly affected the levels of several hypothalamic metabolites, especially oxidative stress markers. In parallel, WD consumption reduced caecal microbiota diversity, modified its composition towards pro-inflammatory profile and changed caecal metabolome. Data integration identified strong correlations between gut microbiota sub-networks, unidentified caecal metabolites and hypothalamic oxidative stress metabolites. Germ-free rats displayed reduced energy intake and no changes in redox homoeostasis machinery expression or pro-inflammatory cytokines after 2 days of WD, in contrast to conventional rats, which exhibited increased SOD2, GLRX and IL-6 mRNA levels.
CONCLUSION
A potentially pro-inflammatory gut microbiota and an early hypothalamic oxidative stress appear shortly after WD introduction. Tripartite data integration highlighted putative links between gut microbiota sub-networks and hypothalamic oxidative stress. Together with the absence of hypothalamic modifications in germ-free rats, this strongly suggests the involvement of the microbiota-hypothalamus axis in rat adaptation to WD introduction and in energy homoeostasis regulation.

Identifiants

pubmed: 33714973
doi: 10.1038/s41366-021-00796-4
pii: 10.1038/s41366-021-00796-4
doi:

Substances chimiques

Cytokines 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1271-1283

Références

Berthoud H-R. Homeostatic and non-homeostatic pathways involved in the control of food intake and energy balance. Obesity. 2006;14:197S–200S.
pubmed: 17021366
Ciofi P, Garret M, Lapirot O, Lafon P, Loyens A, Prévot V, et al. Brain-endocrine interactions: a microvascular route in the mediobasal hypothalamus. Endocrinology. 2009;150:5509–19.
pubmed: 19837874 pmcid: 2819742
Dietrich MO, Horvath TL. Hypothalamic control of energy balance: insights into the role of synaptic plasticity. Trends Neurosci. 2013;36:65–73.
pubmed: 23318157
Nuzzaci D, Laderrière A, Lemoine A, Nédélec E, Pénicaud L, Rigault C, et al. Plasticity of the melanocortin system: determinants and possible consequences on food intake. Front Endocrinol. 2015;6. https://doi.org/10.3389/fendo.2015.00143 .
Pinto S. Rapid rewiring of arcuate nucleus feeding circuits by leptin. Science. 2004;304:110–5.
pubmed: 15064421
Pierce AA, Xu AW. De novo neurogenesis in adult hypothalamus as a compensatory mechanism to regulate energy balance. J Neurosci. 2010;30:723–30.
pubmed: 20071537 pmcid: 3080014
Benani A, Hryhorczuk C, Gouaze A, Fioramonti X, Brenachot X, Guissard C, et al. Food intake adaptation to dietary fat involves PSA-dependent rewiring of the arcuate melanocortin system in mice. J Neurosci. 2012;32:11970–9.
pubmed: 22933782 pmcid: 6621529
Hamilton MK, Boudry G, Lemay DG, Raybould HE. Changes in intestinal barrier function and gut microbiota in high-fat diet-fed rats are dynamic and region dependent. Am J Physiol Gastrointest Liver Physiol. 2015;308:G840–51.
pubmed: 25747351 pmcid: 4437018
Guerville M, Hamilton MK, Ronveaux CC, Ellero-Simatos S, Raybould HE, Boudry G. Chronic refined low-fat diet consumption reduces cholecystokinin satiation in rats. Eur J Nutr. 2019;58:2497–510.
pubmed: 30069617
Argueta DA, DiPatrizio NV. Peripheral endocannabinoid signaling controls hyperphagia in western diet-induced obesity. Physiol Behav. 2017;171:32–9.
pubmed: 28065722 pmcid: 5296283
Argueta DA, Perez PA, Makriyannis A, DiPatrizio NV. Cannabinoid CB1 receptors inhibit gut-brain satiation signaling in diet-induced obesity. Front Physiol. 2019;10:704.
pubmed: 31281260 pmcid: 6597959
Brenachot X, Nédélec E, Ben Fradj S, Boudry G, Douard V, Laderrière A, et al. Lack of hypothalamus polysialylation inducibility correlates with maladaptive eating behaviors and predisposition to obesity. Front Nutr. 2018;5:6.
Valdivia S, Patrone A, Reynaldo M, Perello M. Acute high fat diet consumption activates the mesolimbic circuit and requires orexin signaling in a mouse model. PLoS ONE. 2014;9:e87478.
pubmed: 24466352 pmcid: 3900715
Butler AA, Marks DL, Fan W, Kuhn CM, Bartolome M, Cone RD. Melanocortin-4 receptor is required for acute homeostatic responses to increased dietary fat. Nat Neurosci. 2001;4:605–11.
pubmed: 11369941
Buckman LB, Thompson MM, Lippert RN, Blackwell TS, Yull FE, Ellacott KLJ. Evidence for a novel functional role of astrocytes in the acute homeostatic response to high-fat diet intake in mice. Mol Metab. 2015;4:58–63.
pubmed: 25685690
Gouazé A, Brenachot X, Rigault C, Krezymon A, Rauch C, Nédélec E, et al. Cerebral cell renewal in adult mice controls the onset of obesity. PLoS ONE. 2013;8:e72029.
pubmed: 23967273 pmcid: 3742483
Thaler JP, Yi C-X, Schur EA, Guyenet SJ, Hwang BH, Dietrich MO, et al. Obesity is associated with hypothalamic injury in rodents and humans. J Clin Invest. 2012;122:153–62.
pubmed: 22201683
Mendes NF, Kim Y-B, Velloso LA, Araújo EP. Hypothalamic microglial activation in obesity: a mini-review. Front Neurosci. 2018;12:846.
pubmed: 30524228 pmcid: 6262396
Terrien J, Seugnet I, Seffou B, Herrero MJ, Bowers J, Chamas L, et al. Reduced central and peripheral inflammatory responses and increased mitochondrial activity contribute to diet-induced obesity resistance in WSB/EiJ mice. Sci Rep. 2019;9:19696.
pubmed: 31873127 pmcid: 6928236
Souza ACP, Souza CM, Amaral CL, Lemes SF, Santucci LF, Milanski M, et al. Short-term high-fat diet consumption reduces hypothalamic expression of the nicotinic acetylcholine receptor α7 subunit (α7nAChR) and affects the anti-inflammatory response in a mouse model of sepsis. Front Immunol. 2019;10:565.
pubmed: 30967878 pmcid: 6438922
Sugiyama M, Banno R, Yaginuma H, Taki K, Mizoguchi A, Tsunekawa T, et al. Hypothalamic glial cells isolated by MACS reveal that microglia and astrocytes induce hypothalamic inflammation via different processes under high-fat diet conditions. Neurochem Int. 2020;136:104733.
pubmed: 32222288
Morari J, Anhe GF, Nascimento LF, de Moura RF, Razolli D, Solon C, et al. Fractalkine (CX3CL1) is involved in the early activation of hypothalamic inflammation in experimental obesity. Diabetes. 2014;63:3770–84.
pubmed: 24947351
André C, Guzman-Quevedo O, Rey C, Rémus-Borel J, Clark S, Castellanos-Jankiewicz A, et al. Inhibiting microglia expansion prevents diet-induced hypothalamic and peripheral inflammation. Diabetes. 2017;66:908–19.
pubmed: 27903745
Dourmashkin JT, Chang G-Q, Hill JO, Gayles EC, Fried SK, Leibowitz SF. Model for predicting and phenotyping at normal weight the long-term propensity for obesity in Sprague–Dawley rats. Physiol Beh. 2006;87:666–78.
Vaanholt LM, Sinclair RE, Mitchell SE, Speakman JR. Factors influencing individual variability in high fat diet-induced weight gain in out-bred MF1 mice. Physiol Behav. 2015;144:146–55.
pubmed: 25817538
Gupta S, Knight AG, Gupta S, Keller JN, Bruce-Keller AJ. Saturated long-chain fatty acids activate inflammatory signaling in astrocytes: fatty acids and glial inflammation. J Neurochem. 2012;120:1060–71.
pubmed: 22248073 pmcid: 3296820
Hsieh C-F, Ching-Kuan L, Ching-Tien L, Liang-En Y, Jiz-Yuh W. Acute glucose fluctuation impacts microglial activity, leading to inflammatory activation or self-degradation. Sci Rep. 2018;9:16.
McLean FH, Campbell FM, Langston RF, Sergi D, Resch C, Grant C, et al. A high-fat diet induces rapid changes in the mouse hypothalamic proteome. Nutr Metab (Lond). 2019;16:26.
Popa-Wagner A, Mitran S, Sivanesan S, Chang E, Buga A-M. ROS and brain diseases: the good, the bad, and the ugly. Oxid Med Cell Longev. 2013;2013:1–14.
Spielman LJ, Gibson DL, Klegeris A. Unhealthy gut, unhealthy brain: the role of the intestinal microbiota in neurodegenerative diseases. Neurochem Int. 2018;120:149–63.
pubmed: 30114473
Li J-M, Yu R, Zhang L-P, Wen S-Y, Wang S-J, Zhang X-Y, et al. Dietary fructose-induced gut dysbiosis promotes mouse hippocampal neuroinflammation: a benefit of short-chain fatty acids. Microbiome. 2019;7:98.
pubmed: 31255176 pmcid: 6599330
Pearson-Leary J, Zhao C, Bittinger K, Eacret D, Luz S, Vigderman AS, et al. The gut microbiome regulates the increases in depressive-type behaviors and in inflammatory processes in the ventral hippocampus of stress vulnerable rats. Mol Psychiatry. 2020;25:1068–79.
pubmed: 30833676
Kreutzer C, Peters S, Schulte DM, Fangmann D, Türk K, Wolff S, et al. Hypothalamic inflammation in human obesity is mediated by environmental and genetic factors. Diabetes. 2017;66:2407–15.
pubmed: 28576837
Rizzatti G, Lopetuso LR, Gibiino G, Binda C, Gasbarrini A. Proteobacteria: a common factor in human diseases. BioMed Res Int. 2017;2017:1–7.
Turnbaugh PJ, Ridaura VK, Faith JJ, Rey FE, Knight R, Gordon JI. The effect of diet on the human gut microbiome: a metagenomic analysis in humanized gnotobiotic mice. Sci Transl Med. 2009;1:6ra14.
pubmed: 20368178 pmcid: 2894525
Arnaud AP, Rome V, Richard M, Formal M, David‐Le Gall S, Boudry G. Post‐natal co‐development of the microbiota and gut barrier function follows different paths in the small and large intestine in piglets. FASEB J. 2020;34:1430–46.
pubmed: 31914707
Gao X, Pujos-Guillot E, Sébédio J-L. Development of a quantitative metabolomic approach to study clinical human fecal water metabolome based on trimethylsilylation derivatization and GC/MS analysis. Anal Chem. 2010;82:6447–56.
pubmed: 20669995
Giacomoni F, Le Corguille G, Monsoor M, Landi M, Pericard P, Petera M, et al. Workflow4Metabolomics: a collaborative research infrastructure for computational metabolomics. Bioinformatics. 2015;31:1493–5.
pubmed: 25527831
Zhang X, Grosfeld A, Williams E, Vasiliauskas D, Barretto S, Smith L, et al. Fructose malabsorption induces cholecystokinin expression in the ileum and cecum by changing microbiota composition and metabolism. FASEB J. 2019;33:7126–42.
pubmed: 30939042 pmcid: 6988857
Zoppi J, Guillaume J-F, Neunlist M, Chaffron S. MiBiOmics: an interactive web application for multi-omics data exploration and integration. Bioinformatics. 2020. https://doi.org/10.1101/2020.04.24.031773 .
doi: 10.1101/2020.04.24.031773
Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics. 2008;9:559.
pubmed: 19114008 pmcid: 2631488
Lu SC. Regulation of glutathione synthesis. Mol Aspects Med. 2009;30:42–59.
pubmed: 18601945
Dello SAWG, Neis EPJG, de Jong MC, van Eijk HMH, Kicken CH, Olde Damink SWM, et al. Systematic review of ophthalmate as a novel biomarker of hepatic glutathione depletion. Clin Nutr. 2013;32:325–30.
pubmed: 23182341
Johnson WM, Wilson-Delfosse AL, Mieyal JJ. Dysregulation of glutathione homeostasis in neurodegenerative diseases. Nutrients. 2012;4:1399–440.
pubmed: 23201762 pmcid: 3497002
Schieber M, Chandel NS. ROS function in redox signaling and oxidative stress. Curr Biol. 2014;24:R453–62.
pubmed: 24845678 pmcid: 4055301
Hanschmann E-M, Godoy JR, Berndt C, Hudemann C, Lillig CH. Thioredoxins, glutaredoxins, and peroxiredoxins—molecular mechanisms and health significance: from cofactors to antioxidants to redox signaling. Antioxid Redox Signal. 2013;19:1539–605.
pubmed: 23397885 pmcid: 3797455
Leloup C, Magnan C, Benani A, Bonnet E, Alquier T, Offer G, et al. Mitochondrial reactive oxygen species are required for hypothalamic glucose sensing. Diabetes. 2006;55:2084–90.
pubmed: 16804079
Benani A, Troy S, Carmona MC, Fioramonti X, Lorsignol A, Leloup C, et al. Role for mitochondrial reactive oxygen species in brain lipid sensing: redox regulation of food intake. Diabetes. 2007;56:152–60.
pubmed: 17192477
Hussain T, Tan B, Yin Y, Blachier F, Tossou MCB, Rahu N. Oxidative stress and inflammation: what polyphenols can do for us? Oxid Med Cell Longev. 2016;2016:1–9.
Le Thuc O, Stobbe K, Cansell C, Nahon J-L, Blondeau N, Rovère C. Hypothalamic inflammation and energy balance disruptions: spotlight on chemokines. Front Endocrinol. 2017;8. https://doi.org/10.3389/fendo.2017.00197 .
Shin N-R, Whon TW, Bae J-W. Proteobacteria: microbial signature of dysbiosis in gut microbiota. Trends Biotechnol. 2015;33:496–503.
pubmed: 26210164
Lopetuso LR, Petito V, Graziani C, Schiavoni E, Paroni Sterbini F, Poscia A, et al. Gut microbiota in health, diverticular disease, irritable bowel syndrome, and inflammatory bowel diseases: time for microbial marker of gastrointestinal disorders. Dig Dis. 2018;36:56–65.
pubmed: 28683448
Karczewski J, Troost FJ, Konings I, Dekker J, Kleerebezem M, Brummer R-JM, et al. Regulation of human epithelial tight junction proteins by Lactobacillus plantarum in vivo and protective effects on the epithelial barrier. Am J Physiol Gastrointest Liver Physiol. 2010;298:G851–9.
pubmed: 20224007
Waise TMZ, Toshinai K, Naznin F, NamKoong C, Md Moin AS, Sakoda H, et al. One-day high-fat diet induces inflammation in the nodose ganglion and hypothalamus of mice. Biochem Biophys Res Commun. 2015;464:1157–62.
pubmed: 26208455
Baufeld C, Osterloh A, Prokop S, Miller KR, Heppner FL. High-fat diet-induced brain region-specific phenotypic spectrum of CNS resident microglia. Acta Neuropathol. 2016;132:361–75.
pubmed: 27393312 pmcid: 4992033
Moschen S, Higgins J, Di Rienzo JA, Heinz RA, Paniego N, Fernandez P. Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower. BMC Bioinformatics. 2016;17:174.
pubmed: 27295368 pmcid: 4905614
Zhang S, Liu W, Liu X, Qi J, Deng C. Biomarkers identification for acute myocardial infarction detection via weighted gene co-expression network analysis. Medicine. 2017;96:e8375.
pubmed: 29381915 pmcid: 5708914
Gaastra W, Kusters JG, van Duijkeren E, Lipman LJA. Escherichia fergusonii. Vet Microbiol. 2014;172:7–12.
pubmed: 24861842
Armstrong H, Alipour M, Valcheva R, Bording-Jorgensen M, Jovel J, Zaidi D, et al. Host immunoglobulin G selectively identifies pathobionts in pediatric inflammatory bowel diseases. Microbiome. 2019;7:1.
pubmed: 30606251 pmcid: 6317230
Kriss M, Hazleton KZ, Nusbacher NM, Martin CG, Lozupone CA. Low diversity gut microbiota dysbiosis: drivers, functional implications and recovery. Curr Opin Microbiol. 2018;44:34–40.
pubmed: 30036705 pmcid: 6435260

Auteurs

Mélanie Fouesnard (M)

Institut Numecan, INRAE, INSERM, Univ Rennes, Rennes, France.

Johanna Zoppi (J)

TENS U1235, INSERM, Nantes, France.

Mélanie Petera (M)

Clermont Auvergne University, INRAE, UNH, Plateforme d'Exploration du Métabolisme, MetaboHUB Clermont, Clermont-Ferrand, France.

Léa Le Gleau (L)

Institut MICALIS, INRAE, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.

Carole Migné (C)

Clermont Auvergne University, INRAE, UNH, Plateforme d'Exploration du Métabolisme, MetaboHUB Clermont, Clermont-Ferrand, France.

Fabienne Devime (F)

Institut MICALIS, INRAE, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.

Stéphanie Durand (S)

Clermont Auvergne University, INRAE, UNH, Plateforme d'Exploration du Métabolisme, MetaboHUB Clermont, Clermont-Ferrand, France.

Alexandre Benani (A)

Centre des Sciences du Goût et de l'Alimentation, Unité Mixte de Recherche 6265-Centre National de la Recherche Scientifique 13241-Institut National de la Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Université de Bourgogne, Dijon, France.

Samuel Chaffron (S)

Université de Nantes, CNRS (UMR6004), LS2N, Nantes, France.
Research Federation (FR2022) Tara Oceans GO-SEE, Paris, France.

Véronique Douard (V)

Institut MICALIS, INRAE, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.

Gaëlle Boudry (G)

Institut Numecan, INRAE, INSERM, Univ Rennes, Rennes, France. gaelle.boudry@inrae.fr.

Articles similaires

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male
Humans Meals Time Factors Female Adult

Classifications MeSH