Dataset Information

Unexpected similarities between the Schizosaccharomyces and human blood metabolomes, and novel human metabolites (Blood plasma and RBC fractions)

ABSTRACT: Metabolomics, a new branch of chemical biology, provides compositional and quantitative information about the state of organism or cell at the levels of metabolite constituents. We here report non-targeted metabolome of human blood that is made up of plasma and red blood cells (RBCs), using liquid-chromatography and mass spectrometry (LC-MS). Previously, metabolome of a microbe, the fission yeast Schizosaccharomyces pombe, was reported. Two sets of metabolome results are highly similar in their compositions: among 133 compounds identified in human blood, 101 (75%) are also present in S. pombe, and among 57 compounds enriched in RBC, 45 (78%) are also present in S. pombe. Most abundant metabolites are ATP, glutathione and glutamine. Many of other relatively abundant metabolites identified are also implicated in energy, anti-oxidant and amino acid metabolism. We show fourteen newly-identified blood compounds; citramalate, GDP-glucose, trimethyl-histidine, trimethyl-phenylalanine, trimethyl-tryptophan, trimethyl-tyrosine, UDP-acetyl-glucosamine, UDP-glucuronate, dimethyl-lysine, glutamate methyl ester, N-acetyl-(iso)leucine, N-acetyl-glutamate, N2-acetyl-lysine, and N6-acetyl-lysine (the first eight are enriched in RBC). Ten of them are also detected in S. pombe, and ten of them are methylated or acetylated, amino acids. Trimethylated or acetylated free amino acids are also abundant in white blood cell. Their physiologic role may be investigated in the future by yeast genetics.

Blood was separated by low speed (120 x g) centrifugation for 15 min. Resulting supernatant (plasma fraction) and pellet (RBC fraction) were collected (each 0.2 ml). Blood was donated four times within 24 hours bysingle person, samples were processed separetely. By measuring metabolites we could determine their distribution between plasma and RBC fractions.

INSTRUMENT(S): LTQ Orbitrap Classic (Thermo Scientific)

SUBMITTER: Romanas Chaleckis

PROVIDER: MTBLS88 | MetaboLights | 2014-07-08

REPOSITORIES: MetaboLights

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			Action	DRS
	MTBLS88	Other
	FILES	Other
	a_MTBLS88_metabolite_profiling_mass_spectrometry-1.txt	Txt
	a_MTBLS88_metabolite_profiling_mass_spectrometry.txt	Txt
	i_Investigation.txt	Txt

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Unexpected similarities between the Schizosaccharomyces and human blood metabolomes, and novel human metabolites.

Chaleckis Romanas R Ebe Masahiro M Pluskal Tomáš T Murakami Itsuo I Kondoh Hiroshi H Yanagida Mitsuhiro M

Molecular bioSystems 20141001 10

Metabolomics, a modern branch of chemical biology, provides qualitative and quantitative information about the metabolic states of organisms or cells at the molecular level. Here we report non-targeted, metabolomic analyses of human blood, using liquid chromatography-mass spectrometry (LC-MS). We compared the blood metabolome to the previously reported metabolome of the fission yeast, Schizosaccharomyces pombe. The two metabolomic datasets were highly similar: 101 of 133 compounds identified in ...[more]

PMID: 25010571

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Similar Datasets

Project description:This data set is downloaded from MetaboLights (http://www.ebi.ac.uk/metabolights/) accession number MTBLS88 Abstract:Metabolomics, a new branch of chemical biology, provides compositional and quantitative information about the state of organism or cell at the levels of metabolite constituents. We here report non-targeted metabolome of human blood that is made up of plasma and red blood cells (RBCs), using liquid-chromatography and mass spectrometry (LC-MS). Previously, metabolome of a microbe, the fission yeast Schizosaccharomyces pombe, was reported. Two sets of metabolome results are highly similar in their compositions: among 133 compounds identified in human blood, 101 (75%) are also present in S. pombe, and among 57 compounds enriched in RBC, 45 (78%) are also present in S. pombe. Most abundant metabolites are ATP, glutathione and glutamine. Many of other relatively abundant metabolites identified are also implicated in energy, anti-oxidant and amino acid metabolism. We show fourteen newly-identified blood compounds; citramalate, GDP-glucose, trimethyl-histidine, trimethyl-phenylalanine, trimethyl-tryptophan, trimethyl-tyrosine, UDP-acetyl-glucosamine, UDP-glucuronate, dimethyl-lysine, glutamate methyl ester, N-acetyl-(iso)leucine, N-acetyl-glutamate, N2-acetyl-lysine, and N6-acetyl-lysine (the first eight are enriched in RBC). Ten of them are also detected in S. pombe, and ten of them are methylated or acetylated, amino acids. Trimethylated or acetylated free amino acids are also abundant in white blood cell. Their physiologic role may be investigated in the future by yeast genetics. Blood was separated by low speed (120 x g) centrifugation for 15 min. Resulting supernatant (plasma fraction) and pellet (RBC fraction) were collected (each 0.2 ml). Blood was donated four times within 24 hours bysingle person, samples were processed separetely. By measuring metabolites we could determine their distribution between plasma and RBC fractions.

Project description:Metabolites present in human blood document individual physiological states influenced by genetic, epigenetic, and lifestyle factors. Using high-resolution liquid chromatography-mass spectrometry (LC-MS), we performed nontargeted, quantitative metabolomics analysis in blood of 15 young (29 ± 4 y of age) and 15 elderly (81 ± 7 y of age) individuals. Coefficients of variation (CV = SD/mean) were obtained for 126 blood metabolites of all 30 donors. Fifty-five RBC-enriched metabolites, for which metabolomics studies have been scarce, are highlighted here. We found 14 blood compounds that show remarkable age-related increases or decreases; they include 1,5-anhydroglucitol, dimethyl-guanosine, acetyl-carnosine, carnosine, ophthalmic acid, UDP-acetyl-glucosamine, N-acetyl-arginine, N6-acetyl-lysine, pantothenate, citrulline, leucine, isoleucine, NAD+, and NADP+. Six of them are RBC-enriched, suggesting that RBC metabolomics is highly valuable for human aging research. Age differences are partly explained by a decrease in antioxidant production or increasing inefficiency of urea metabolism among the elderly. Pearson’s coefficients demonstrated that some age-related compounds are correlated, suggesting that aging affects them concomitantly. Although our CV values are mostly consistent with those CVs previously published, we here report previously unidentified CVs of 51 blood compounds. Compounds having moderate to high CV values (0.4–2.5) are often modified. Compounds having low CV values, such as ATP and glutathione, may be related to various diseases because their concentrations are strictly controlled, and changes in them would compromise health. Thus, human blood is a rich source of information about individual metabolic differences. Data from three injections of the same sample and three samples prepared from the same donated blood are available under accession number MTBLS263. Blood samples drawn from four volunteers four times within 24 h are available under accession number MTBLS264. Plasma and RBC data from all 30 subjects can be found under MTBLS266 and MTBLS267, respectively.

Project description:Metabolites present in human blood document individual physiological states influenced by genetic, epigenetic, and life-style factors. Using high-resolution liquid chromatography-mass spectrometry (LC-MS), we performed non-targeted, quantitative metabolomics analysis in blood of 15 young (29±4 yr) and 15 elderly (81±7 yr) individuals. Coefficients of variation (CV=standard deviation/mean) were obtained for 126 blood metabolites of all 30 donors. Fifty-five RBC-enriched metabolites, for which metabolomics studies have been scarce, are highlighted here. We found fourteen blood compounds that show remarkable age-related increases or decreases; they include 1,5-anhydroglucitol, dimethyl-guanosine, acetyl-carnosine, carnosine, ophthalmic acid, UDP-acetyl-glucosamine, N-acetyl-arginine, N6-acetyl-lysine, pantothenate, citrulline, leucine, isoleucine, NAD+, NADP+. Six of them are RBC-enriched, suggesting that RBC metabolomics is highly valuable for human aging research. Age differences are partly explained by a decrease in anti-oxidant production or increasing inefficiency of urea metabolism among the elderly. Pearson’s coefficients demonstrated that some age-related compounds are correlated, suggesting that aging affects them concomitantly. While our CV values are mostly consistent with those previously published, we here report novel CVs of 51 blood compounds. Compounds having moderate to high CV values (0.4-2.5) are often modified. Compounds having low CV values such as ATP and glutathione may be related to various diseases as their concentrations are strictly controlled, and changes in them would compromise health. Thus human blood is a rich source of information about individual metabolic differences. Data from three injections of the same sample and three samples prepared from the same donated blood are available under accession number MTBLS263. Blood samples drawn from four volunteers four times within 24 h are available under accession number MTBLS264. Whole blood metabolomic data from all 30 subjects are available under accession number MTBLS265. RBC data from all 30 subjects can be found under MTBLS267.

Project description:Metabolites present in human blood document individual physiological states influenced by genetic, epigenetic, and life-style factors. Using high-resolution liquid chromatography-mass spectrometry (LC-MS), we performed non-targeted, quantitative metabolomics analysis in blood of 15 young (29±4 yr) and 15 elderly (81±7 yr) individuals. Coefficients of variation (CV=standard deviation/mean) were obtained for 126 blood metabolites of all 30 donors. Fifty-five RBC-enriched metabolites, for which metabolomics studies have been scarce, are highlighted here. We found fourteen blood compounds that show remarkable age-related increases or decreases; they include 1,5-anhydroglucitol, dimethyl-guanosine, acetyl-carnosine, carnosine, ophthalmic acid, UDP-acetyl-glucosamine, N-acetyl-arginine, N6-acetyl-lysine, pantothenate, citrulline, leucine, isoleucine, NAD+, NADP+. Six of them are RBC-enriched, suggesting that RBC metabolomics is highly valuable for human aging research. Age differences are partly explained by a decrease in anti-oxidant production or increasing inefficiency of urea metabolism among the elderly. Pearson’s coefficients demonstrated that some age-related compounds are correlated, suggesting that aging affects them concomitantly. While our CV values are mostly consistent with those previously published, we here report novel CVs of 51 blood compounds. Compounds having moderate to high CV values (0.4-2.5) are often modified. Compounds having low CV values such as ATP and glutathione may be related to various diseases as their concentrations are strictly controlled, and changes in them would compromise health. Thus human blood is a rich source of information about individual metabolic differences. Data from three injections of the same sample and three samples prepared from the same donated blood are available under accession number MTBLS263. Blood samples drawn from four volunteers four times within 24 h are available under accession number MTBLS264. Whole blood metabolomic data from all 30 subjects are available under accession number MTBLS265. Plasma data from all 30 subjects can be found under MTBLS266.

Project description:Metabolites present in human blood document individual physiological states influenced by genetic, epigenetic, and lifestyle factors. Using high-resolution liquid chromatography-mass spectrometry (LC-MS), we performed nontargeted, quantitative metabolomics analysis in blood of 15 young (29 ± 4 y of age) and 15 elderly (81 ± 7 y of age) individuals. Coefficients of variation (CV = SD/mean) were obtained for 126 blood metabolites of all 30 donors. Fifty-five RBC-enriched metabolites, for which metabolomics studies have been scarce, are highlighted here. We found 14 blood compounds that show remarkable age-related increases or decreases; they include 1,5-anhydroglucitol, dimethyl-guanosine, acetyl-carnosine, carnosine, ophthalmic acid, UDP-acetyl-glucosamine, N-acetyl-arginine, N6-acetyl-lysine, pantothenate, citrulline, leucine, isoleucine, NAD+, and NADP+. Six of them are RBC-enriched, suggesting that RBC metabolomics is highly valuable for human aging research. Age differences are partly explained by a decrease in antioxidant production or increasing inefficiency of urea metabolism among the elderly. Pearson’s coefficients demonstrated that some age-related compounds are correlated, suggesting that aging affects them concomitantly. Although our CV values are mostly consistent with those CVs previously published, we here report previously unidentified CVs of 51 blood compounds. Compounds having moderate to high CV values (0.4–2.5) are often modified. Compounds having low CV values, such as ATP and glutathione, may be related to various diseases because their concentrations are strictly controlled, and changes in them would compromise health. Thus, human blood is a rich source of information about individual metabolic differences. In human 24 hr metabolome observation (non-fasting) four volunteers were taken blood after overnight fast without breakfast at 9:00; 10:00, 13:00 and before lunch on the first day. Volunteers had lunches and dinners as usual on that day. On the second day after overnight fast the blood was sampled again at 9:00 at Kyoto university hospital laboratory. The great majority of metabolites hardly fluctuated (117 from 126 metabolites varied less than 2.5-fold on average in four volunteers). Data from three injections of the same sample and three samples prepared from the same donated blood are available under accession number MTBLS263. Whole blood metabolomic data from all 30 subjects are available under accession number MTBLS265. Plasma and RBC data from all 30 subjects can be found under MTBLS266 and MTBLS267, respectively.

Project description:Metabolites present in human blood document individual physiological states influenced by genetic, epigenetic, and lifestyle factors. Using high-resolution liquid chromatography-mass spectrometry (LC-MS), we performed nontargeted, quantitative metabolomics analysis in blood of 15 young (29 ± 4 y of age) and 15 elderly (81 ± 7 y of age) individuals. Coefficients of variation (CV = SD/mean) were obtained for 126 blood metabolites of all 30 donors. Fifty-five RBC-enriched metabolites, for which metabolomics studies have been scarce, are highlighted here. We found 14 blood compounds that show remarkable age-related increases or decreases; they include 1,5-anhydroglucitol, dimethyl-guanosine, acetyl-carnosine, carnosine, ophthalmic acid, UDP-acetyl-glucosamine, N-acetyl-arginine, N6-acetyl-lysine, pantothenate, citrulline, leucine, isoleucine, NAD+, and NADP+. Six of them are RBC-enriched, suggesting that RBC metabolomics is highly valuable for human aging research. Age differences are partly explained by a decrease in antioxidant production or increasing inefficiency of urea metabolism among the elderly. Pearson’s coefficients demonstrated that some age-related compounds are correlated, suggesting that aging affects them concomitantly. Although our CV values are mostly consistent with those CVs previously published, we here report previously unidentified CVs of 51 blood compounds. Compounds having moderate to high CV values (0.4–2.5) are often modified. Compounds having low CV values, such as ATP and glutathione, may be related to various diseases because their concentrations are strictly controlled, and changes in them would compromise health. Thus, human blood is a rich source of information about individual metabolic differences. Validation of experimental procedures was performed as follows. First, we evaluated the contribution of sample handling to within-sample variation. The same blood sample preparation was injected 3x into the LC-MS at 80-min intervals. We thus obtained within-sample CVs (designated as CVwi), which were less than 0.1 in 107 of 126 compounds (85%). Only 10 compounds showed CVwi of 0.1-0.2, while 9 had CVwi >0.2. Second, we also examined sample-to-sample variation caused by sample preparation. Three samples were independently prepared from the same blood sample (one person), and CVs thus determined were designated as CVss. CVss values of HEPES and PIPES in the blood samples were very small (0.06~0.08 for HEPES and 0.04~0.08 for PIPES). The great majority (116/126=92%) of CVss were <0.3. Blood samples drawn from four volunteers four times within 24 h are available under accession number MTBLS264. Whole blood metabolomic data from all 30 subjects are available under accession number MTBLS265. Plasma and RBC data from all 30 subjects can be found under MTBLS266 and MTBLS267, respectively.