Dataset Information

Human age-declined saliva metabolic markers determined by LC-MS

ABSTRACT:

Metabolites in human biofluids reflect individual physiological body states influenced by various factors. Using liquid chromatography-mass spectrometry (LC-MS), we conducted non-targeted, non-invasive, comprehensive metabolomics using saliva of 27 healthy volunteers in Okinawa, consisting of 13 young (30 ± 3 yr) and 14 elderly (76 ± 4 yr) people. Quantitative analysis of whole 99 saliva metabolites has been scarce. Twenty-one of 99 salivary metabolites quantified appear to be statistically age-linked. Their abundances decline with advancing age, except for ATP, which increased 1.96-fold in the elderly, possibly due to reduced ATP consumption. Fourteen age-linked and highly correlated compounds function in a metabolic network of amino acids, purines/pyrimidines, the pentose-phosphate pathway and glycolysis/gluconeogenesis. The remaining seven metabolites, while age-linked, but less strongly correlated, include ATP, muscle-related acetyl-carnosine, carnitine, N-methyl-histidine and creatinine, RNA-related dimethyl-xanthine, N-methyl-adenosine, anti-oxidation related glutathione disulfide, and N-methyl-adenosine. These metabolites together may provide detailed information on the metabolic network of oral aging, which is required to understand the functional decline of oral activity during human aging.

INSTRUMENT(S): Liquid Chromatography MS - positive - hilic, Liquid Chromatography MS - negative - hilic

SUBMITTER: Takayuki Teruya

PROVIDER: MTBLS2108 | MetaboLights | 2021-02-11

REPOSITORIES: MetaboLights

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Dataset's files

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			Action	DRS
	MTBLS2108	Other
	FILES	Other
	a_MTBLS2108_LC-MS_negative_hilic_metabolite_profiling.txt	Txt
	a_MTBLS2108_LC-MS_positive_hilic_metabolite_profiling.txt	Txt
	i_Investigation.txt	Txt

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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. </p> 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 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. </p> 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.

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Human age-declined saliva metabolic markers determined by LC-MS

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