Differences in metabolite profile between blood plasma and serum

Liu, Linsheng; Aa, Jiye; Wang, Guangji; Yan, Bin; Zhang, Ying; Wang, Xinwen; Zhao, Chunyan; Cao, Bei; Shi, Jian; Li, Mengjie; Zheng, Tao; Zheng, Yuanting; Hao, Gang; Zhou, Fang; Wu, Zimei

doi:10.1016/j.ab.2010.07.015

Cited by 133 publications

(97 citation statements)

References 14 publications

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“…Automatic peak detection and mass spectrum deconvolution using the ChromaTOF software (version 3.25; Leco) were performed at a peak width of 2 s. Peaks with signal-to-noise ratios Ͻ20 were rejected. To obtain accurate peak areas for the internal standard and specific peaks/compounds, the data were processed as reported previously (14,16). The retention index of each peak was calculated by comparing the retention time of the peak with those of an alkane series (C 8-C40).…”

Section: Methodsmentioning

confidence: 99%

GC/TOFMS analysis of metabolites in serum and urine reveals metabolic perturbation of TCA cycle in db/db mice involved in diabetic nephropathy

Wang

et al. 2013

American Journal of Physiology-Renal Physiology

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Z. GC/TOFMS analysis of metabolites in serum and urine reveals metabolic perturbation of TCA cycle in db/db mice involved in diabetic nephropathy. Am J Physiol Renal Physiol 304: F1317-F1324, 2013. First published March 6, 2013 doi:10.1152/ajprenal.00536.2012.-Early diagnosis of diabetic nephropathy (DN) is difficult although it is of crucial importance to prevent its development. To probe potential markers and the underlying mechanism of DN, an animal model of DN, the db/db mice, was used and serum and urine metabolites were profiled using gas chromatography/time-of-flight mass spectrometry. Metabolic patterns were evaluated based on serum and urine data. Principal component analysis of the data revealed an obvious metabonomic difference between db/db mice and controls, and db/db mice showed distinctly different metabolic patterns during the progression from diabetes to early, medium, and later DN. The identified metabolites discriminating between db/db mice and controls suggested that db/db mice have perturbations in the tricarboxylic acid cycle (TCA, citrate, malate, succinate, and aconitate), lipid metabolism, glycolysis, and amino acid turnover. The db/db mice were characterized by acidic urine, high TCA intermediates in serum at week 6 and a sharp decline thereafter, and gradual elevation of free fatty acids in the serum. The sharp drop of serum TCA intermediates from week 6 to 8 indicated the downregulated glycolysis and insulin resistance. However, urinary TCA intermediates did not decrease in parallel with those in the serum from week 6 to 10, and an increased portion of TCA intermediates in the serum was excreted into the urine at 8, 10, and 12 wk than at 6 wk, indicating kidney dysfunction occurred. The relative abundances of TCA intermediates in urine relative to those in serum were suggested as an index of renal damage. diabetic nephropathy; metabonomics; tricarboxylic acid cycle; gas chromatography mass spectrometry

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Section: Methodsmentioning

confidence: 99%

GC/TOFMS analysis of metabolites in serum and urine reveals metabolic perturbation of TCA cycle in db/db mice involved in diabetic nephropathy

Wang

et al. 2013

American Journal of Physiology-Renal Physiology

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“…Because serum is more resistant to effects of freezethaw cycles and 37°C incubation than plasma, 11,14) we used serum as a matrix in the present study. To minimize unrelated variations, we controlled subjects' age (young population, 25-35 years old; old population, 55-65 years old), range of body mass index (BMI) value (18-25.5) and collected samples following an overnight fast.…”

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confidence: 99%

Gender- and Age-Associated Differences in Serum Metabolite Profiles among Japanese Populations

Saito¹,

Maekawa²,

Kinchen

et al. 2016

Biological & Pharmaceutical Bulletin

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Serum metabolites can reflect the diffusion/export of biochemicals from various organs. They can serve as biomarkers related to diseases and therapeutic efficacy/toxicity. While studies in Caucasians suggested that subject gender and age can affect circulating metabolite profiles, the Japanese population has not been surveyed. Our objective was to delineate gender-and age-associated differences in serum metabolite profiles among Japanese populations. Using a mass spectrometry-based global metabolomics approach, 516 endogenous metabolites were detected in sera from Japanese individuals. The principal component analysis identified gender as the primary component, followed by age, suggesting that these two criteria were key contributors to variations in the dataset. Gender-associated differences were observed in 31 and 25% of metabolites in the young (age 25-35) and old (ages 55-65) populations, respectively, in redox homeostasis, and in steroid and purine nucleotide metabolism pathways. Age-associated differences were observed in 24 and 23% of metabolites in men and women, respectively. No pathway was commonly highlighted. Thus, gender and age impact on metabolite profiles in the Japanese population. Our results provide useful information to explore biomarkers for clinical applications in the Japanese population and to assess the applicability of known biomarkers identified in other populations to the Japanese population.Key words biomarker; gender; Japanese; metabolomics; serum metabolite Circulating metabolites reflect contributions from various organs. This matrix can provide an overview of "organismal" biology, which would be expected to yield useful biomarkers for somatic responses (to disease or environment). In fact, recent studies demonstrated that several circulating metabolites reflect not only disease state, but can also inform on pharmaceutical efficacy and drug toxicity.1-4) To assess multiple aspects of organismal metabolism, these studies employed a global metabolomics approach, which allows the measurement of a wide range of metabolites simultaneously.5,6) Highthroughput measurement of global metabolite levels can also ease the identification of altered metabolic pathways and the evaluation/identification of biomarkers of interest.One key problem in the identification and/or validation of circulating metabolites as clinical biomarkers in humans is inter-individual variation. Thus, an understanding of classes of metabolites that can vary between individuals is beneficial to choosing clinical biomarkers for therapeutic efficacy as well as drug toxicity. Subject backgrounds such as gender and age have emerged as modulators of the global levels of circulating metabolites. For example, metabolomics approaches have demonstrated that levels of branched chain amino acids and long chain acyl carnitines differ between male and females in overweight Caucasian and African American cohorts.7) Other studies demonstrated that sphingomyelin levels were higher in females, whereas acyl carnitines and metabolites in ...

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“…Serum, urine, and bile samples were processed, extracted, and derived in accordance with our previously developed methods [32][33][34] . Briefly, the specimens were thawed by incubating them at 37 °C for 20 min and centrifuged at 1600×g for 10 min at 4 °C.…”

Section: Preparation Of Samplesmentioning

confidence: 99%

Combined effects of a high-fat diet and chronic valproic acid treatment on hepatic steatosis and hepatotoxicity in rats

et al. 2014

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Aim: To investigate the potential interactive effects of a high-fat diet (HFD) and valproic acid (VPA) on hepatic steatosis and hepatotoxicity in rats. Methods: Male SD rats were orally administered VPA (100 or 500 mg·kg -1 ·d -1 ) combined with HFD or a standard diet for 8 weeks. Blood and liver samples were analyzed to determine lipid levels and hepatic function biomarkers using commercial kit assays. Lowmolecular-weight compounds in serum, urine and bile samples were analyzed using a metabonomic approach based on GC/TOF-MS. Results: HFD alone induced extensive hepatocyte steatosis and edema in rats, while VPA alone did not cause significant liver lesions. VPA significantly aggravated HFD-induced accumulation of liver lipids, and caused additional spotty or piecemeal necrosis, accompanied by moderate infiltration of inflammatory cells in the liver. Metabonomic analysis of serum, urine and bile samples revealed that HFD significantly increased the levels of amino acids, free fatty acids (FFAs) and 3-hydroxy-butanoic acid, whereas VPA markedly decreased the levels of amino acids, FFAs and the intermediate products of the tricarboxylic acid cycle (TCA) compared with the control group. HFD aggravated VPA-induced inhibition on lipid and amino acid metabolism. Conclusion: HFD magnifies VPA-induced impairment of mitochondrial β-oxidation of FFAs and TCA, thereby increases hepatic steatosis and hepatotoxicity. The results suggest the patients receiving VPA treatment should be advised to avoid eating HFD.

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Differences in metabolite profile between blood plasma and serum

Cited by 133 publications

References 14 publications

GC/TOFMS analysis of metabolites in serum and urine reveals metabolic perturbation of TCA cycle in db/db mice involved in diabetic nephropathy

GC/TOFMS analysis of metabolites in serum and urine reveals metabolic perturbation of TCA cycle in db/db mice involved in diabetic nephropathy

Gender- and Age-Associated Differences in Serum Metabolite Profiles among Japanese Populations

Combined effects of a high-fat diet and chronic valproic acid treatment on hepatic steatosis and hepatotoxicity in rats

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