Importance of sulfur-containing metabolites in discriminating fecal extracts between normal and type-2 diabetic mice.

A metabolic disorder such as Type-2 Diabetes mellitus (T2DM) is a complex disease induced by genetic, environmental, and nutritional factors. The db/db mouse model, bearing a nonfunctional leptin receptor, is widely used to investigate the pathophysiology of T2DM. Fecal extracts of db/db and wild-type littermates were studied to unravel a broad spectrum of new and relevant metabolites related to T2DM as proxies of the interplay of gut microbiome and murine metabolomes. The nontargeted metabolomics approach consists of an integrated analytical concept of high-resolution mass spectrometry FT-ICR-MS, followed by UPLC-TOF-MS/MS experiments. We demonstrate that a metabolic disorder such as T2DM affects the gastrointestinal tract environment, thereby influencing different metabolic pathways and their respective metabolites in diabetic mice. Fatty acids, bile acids concerning cholic and deoxycholic acid, and steroid metabolism were highly discriminative comparing fecal meta-metabolomes of wt and db/db mice. Furthermore, sulfur-(S)-containing metabolites including N-acyl taurines were altered in diabetic mice, enabling us to focus on S-containing metabolites, especially the sulfate and taurine conjugates of bile and fatty acids. Different sulfate containing bile acids including sulfocholic acid, oxocholic acid sulfate, taurocholic acid sulfate, and cyprinol sulfate were significantly altered in diabetic mice. Moreover, we identified 12 new sulfate and taurine conjugates of hydroxylated fatty acids with significant importance in T2DM metabolism in db/db mice.

[1]  P. Turnbaugh,et al.  An Invitation to the Marriage of Metagenomics and Metabolomics , 2008, Cell.

[2]  Michael Stumvoll,et al.  Type 2 diabetes: principles of pathogenesis and therapy , 2005, The Lancet.

[3]  W. Dunn,et al.  Diabetes - the Role of Metabolomics in the Discovery of New Mechanisms and Novel Biomarkers , 2013, Current Cardiovascular Risk Reports.

[4]  E. Schleicher,et al.  Insulin Sensitivity Is Reflected by Characteristic Metabolic Fingerprints - A Fourier Transform Mass Spectrometric Non-Targeted Metabolomics Approach , 2010, PloS one.

[5]  C. Falany,et al.  Synergism of Obesity Genes With Hepatic Steroid Sulfotransferases to Mediate Diabetes in Mice , 1991, Diabetes.

[6]  J. Robben,et al.  Isolation and identification of intestinal steroid-desulfating bacteria from rats and humans , 1988, Applied and environmental microbiology.

[7]  F. Westwood,et al.  Metabonomics with 1H-NMR spectroscopy and liquid chromatography-mass spectrometry applied to the investigation of metabolic changes caused by gentamicin-induced nephrotoxicity in the rat , 2005, Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals.

[8]  K. Mashimo,et al.  Measurement of sulfated and nonsulfated bile acids in human serum and urine. , 1974, Journal of lipid research.

[9]  H. Sokol,et al.  Connecting dysbiosis, bile-acid dysmetabolism and gut inflammation in inflammatory bowel diseases , 2012, Gut.

[10]  U. Edlund,et al.  Visualization of GC/TOF-MS-based metabolomics data for identification of biochemically interesting compounds using OPLS class models. , 2008, Analytical chemistry.

[11]  A G Marshall,et al.  Kendrick mass defect spectrum: a compact visual analysis for ultrahigh-resolution broadband mass spectra. , 2001, Analytical chemistry.

[12]  Karsten Suhre,et al.  MassTRIX: mass translator into pathways , 2008, Nucleic Acids Res..

[13]  David S. Wishart,et al.  SMPDB: The Small Molecule Pathway Database , 2009, Nucleic Acids Res..

[14]  Erin E. Carlson,et al.  Targeted profiling: quantitative analysis of 1H NMR metabolomics data. , 2006, Analytical chemistry.

[15]  Kay S Tatsuoka,et al.  Multi-platform investigation of the metabolome in a leptin receptor defective murine model of type 2 diabetes. , 2008, Molecular bioSystems.

[16]  M. Hunt,et al.  N-Acyl taurines trigger insulin secretion by increasing calcium flux in pancreatic β-cells. , 2013, Biochemical and biophysical research communications.

[17]  Guangji Wang,et al.  GC/TOFMS analysis of metabolites in serum and urine reveals metabolic perturbation of TCA cycle in db/db mice involved in diabetic nephropathy. , 2013, American journal of physiology. Renal physiology.

[18]  Hans-Werner Mewes,et al.  Bioinformatics analysis of targeted metabolomics--uncovering old and new tales of diabetic mice under medication. , 2008, Endocrinology.

[19]  Y. Alnouti Bile Acid sulfation: a pathway of bile acid elimination and detoxification. , 2009, Toxicological sciences : an official journal of the Society of Toxicology.

[20]  J. Lindon,et al.  'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. , 1999, Xenobiotica; the fate of foreign compounds in biological systems.

[21]  R. Cox,et al.  A metabolomic comparison of urinary changes in type 2 diabetes in mouse, rat, and human. , 2007, Physiological genomics.

[22]  Christophe Junot,et al.  Metabolite profiling in rat urine by liquid chromatography/electrospray ion trap mass spectrometry. Application to the study of heavy metal toxicity. , 2003, Rapid communications in mass spectrometry : RCM.

[23]  Christian Gieger,et al.  Metabolic Footprint of Diabetes: A Multiplatform Metabolomics Study in an Epidemiological Setting , 2010, PloS one.

[24]  David S. Wishart,et al.  MSEA: a web-based tool to identify biologically meaningful patterns in quantitative metabolomic data , 2010, Nucleic Acids Res..

[25]  F. Kuipers,et al.  Improved glycemic control with colesevelam treatment in patients with type 2 diabetes is not directly associated with changes in bile acid metabolism , 2010, Hepatology.

[26]  P. François,et al.  Altered Gut Microbiota and Endocannabinoid System Tone in Obese and Diabetic Leptin-Resistant Mice: Impact on Apelin Regulation in Adipose Tissue , 2011, Front. Microbio..

[27]  R. W. Lutz,et al.  Metabolic profiling of glucuronides in human urine by LC-MS/MS and partial least-squares discriminant analysis for classification and prediction of gender. , 2006, Analytical chemistry.

[28]  Ian D Wilson,et al.  A metabonomic analysis of plasma from Zucker rat strains using gas chromatography/mass spectrometry and pattern recognition. , 2006, Rapid communications in mass spectrometry : RCM.

[29]  K P Hummel,et al.  Diabetes, a New Mutafton in the Mouse , 1966, Science.

[30]  L. Chan,et al.  The db/db mouse, a model for diabetic dyslipidemia: molecular characterization and effects of Western diet feeding. , 2000, Metabolism: clinical and experimental.

[31]  A. Saghatelian,et al.  Assignment of endogenous substrates to enzymes by global metabolite profiling. , 2004, Biochemistry.

[32]  A. Smilde,et al.  How to distinguish healthy from diseased? Classification strategy for mass spectrometry‐based clinical proteomics , 2007, Proteomics.

[33]  M. Hunt,et al.  A peroxisomal acyltransferase in mouse identifies a novel pathway for taurine conjugation of fatty acids , 2007, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[34]  B. Hammock,et al.  Mass spectrometry-based metabolomics. , 2007, Mass spectrometry reviews.

[35]  J. Chiang,et al.  Glucose and Insulin Induction of Bile Acid Synthesis , 2011, The Journal of Biological Chemistry.

[36]  Mitsuru Watanabe,et al.  Effects of buckwheat sprouts on plasma and hepatic parameters in type 2 diabetic db/db mice. , 2010, Journal of food science.

[37]  R. Murphy,et al.  Metabolism of leukotriene B4 in isolated rat hepatocytes. Involvement of 2,4-dienoyl-coenzyme A reductase in leukotriene B4 metabolism. , 1990, The Journal of biological chemistry.

[38]  M. Kertesz Riding the sulfur cycle--metabolism of sulfonates and sulfate esters in gram-negative bacteria. , 2000, FEMS microbiology reviews.

[39]  H. Fuchs,et al.  Mouse phenotyping. , 2011, Methods.

[40]  Mi-Kyung Lee,et al.  Effect of curcumin supplementation on blood glucose, plasma insulin, and glucose homeostasis related enzyme activities in diabetic db/db mice. , 2008, Molecular nutrition & food research.

[41]  Susan C Connor,et al.  Integration of metabolomics and transcriptomics data to aid biomarker discovery in type 2 diabetes. , 2010, Molecular bioSystems.

[42]  P. Bodary,et al.  Differences in metabolomic profiles of male db/db and s/s, leptin receptor mutant mice. , 2012, Physiological genomics.

[43]  1 METABOLOMICS REVEALS ATTENUATION OF THE SLC 6 A 20 KIDNEY TRANSPORTER IN NONHUMAN PRIMATE AND MOUSE MODELS OF TYPE 2 DIABETES MELLITUS , 2011 .

[44]  C. Klaassen,et al.  The importance of 3‘‐phosphoadenosine 5‘‐phosphosulfate (PAPS) in the regulation of sulfation , 1997, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[45]  J. Sanz,et al.  Reactivity and fate of secondary alkane sulfonates (SAS) in marine sediments. , 2014, Environmental pollution.

[46]  M. Rantalainen,et al.  The comparative metabonomics of age-related changes in the urinary composition of male Wistar-derived and Zucker (fa/fa) obese rats. , 2006, Molecular bioSystems.

[47]  D. Coleman,et al.  Therapeutic effects of dehydroepiandrosterone metabolites in diabetes mutant mice (C57BL/KsJ-db/db). , 1984, Endocrinology.

[48]  C. Hedrick,et al.  Increased Production of 12/15 Lipoxygenase Eicosanoids Accelerates Monocyte/Endothelial Interactions in Diabetic db/db Mice* , 2003, Journal of Biological Chemistry.

[49]  F. Junker,et al.  Microbial desulfonation. , 1998, FEMS microbiology reviews.

[50]  Hang Yuan,et al.  Enhanced Proatherogenic Responses in Macrophages and Vascular Smooth Muscle Cells Derived From Diabetic db/db Mice , 2006, Diabetes.

[51]  A. Saghatelian,et al.  A FAAH-regulated class of N-acyl taurines that activates TRP ion channels. , 2006, Biochemistry.

[52]  J. Nicholson,et al.  Gut microbiota composition and activity in relation to host metabolic phenotype and disease risk. , 2012, Cell metabolism.

[53]  L. Tartaglia,et al.  Evidence That the Diabetes Gene Encodes the Leptin Receptor: Identification of a Mutation in the Leptin Receptor Gene in db/db Mice , 1996, Cell.

[54]  G. Siuzdak,et al.  Expanding coverage of the metabolome for global metabolite profiling. , 2011, Analytical chemistry.

[55]  Nele Friedrich,et al.  Metabolomics in diabetes research. , 2012, The Journal of endocrinology.

[56]  I. Wilson,et al.  Application of ultra performance liquid chromatography-mass spectrometry to profiling rat and dog bile. , 2009, Journal of proteome research.

[57]  Dmitry Grapov,et al.  Type 2 Diabetes Associated Changes in the Plasma Non-Esterified Fatty Acids, Oxylipins and Endocannabinoids , 2012, PloS one.

[58]  Metabonomic fingerprints of fasting plasma and spot urine reveal human pre-diabetic metabolic traits , 2010, Metabolomics.

[59]  E. Schleicher,et al.  Changes of the plasma metabolome during an oral glucose tolerance test: is there more than glucose to look at? , 2009, American journal of physiology. Endocrinology and metabolism.

[60]  David S. Wishart,et al.  MetaboAnalyst: a web server for metabolomic data analysis and interpretation , 2009, Nucleic Acids Res..