The Human Serum Metabolome

Psychogios, Nikolaos; Hau, David; Peng, Jun; Guo, An Chi; Mandal, Rupasri; Bouatra, Souhaila; Sinelnikov, Igor; Krishnamurthy, R.; Eisner, Roman; Gautam, Bijaya; Young, Nelson D.; Xia, Jianguo; Knox, Craig; Dong, Erbao; Huang, Paul H.; Hollander, Zsuzsanna; Pedersen, Theresa L.; Smith, Steven R.; Bamforth, Fiona; Greiner, Russ; McManus, Bruce M.; Newman, John W.; Goodfriend, Theodore L.; Wishart, David S.

doi:10.1371/journal.pone.0016957

Cited by 1,481 publications

(1,339 citation statements)

References 97 publications

(123 reference statements)

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“…The role of blood is to transport signaling compounds and waste products to various organs, defend against pathogens and blood loss, and regulate body temperature. 66,78 Serum is a common subject of metabolomics studies, spanning almost any human disease subject. 79 The placenta plays a crucial role in pregnancy and preeclampsia, and also itself has metabolic activity.…”

Section: The Human Metabolomementioning

confidence: 99%

Metabolic profiles of placenta in preeclampsia using HR-MAS MRS metabolomics

et al. 2015

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Section: The Human Metabolomementioning

confidence: 99%

Metabolic profiles of placenta in preeclampsia using HR-MAS MRS metabolomics

et al. 2015

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“…As a reference, the concentration of the twelve most abundant human serum metabolites detectable by NMR range from 5 mM (cholesterol) to 0.35 mM ((R)-3-hydroxybutyric acid). 27 Digital filtration may be impractical when residual signals are large, broad, and distorted, as in Figure 8a, but this is not the case here. Such filters can be easily automated to help with the normalisation of data destined for statistical analysis, especially when very low metabolite concentrations are expected.…”

mentioning

confidence: 93%

Robust NMR water signal suppression for demanding analytical applications

Aguilar

Kenwright

2016

Analyst

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Publisher's copyright statement:Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. We describe the design and application of robust, general-purpose water signal suppression pulse sequences well suited to chemometric work. Such pulse sequences need to deal well with pulse mis-calibrations, radiation damping, chemical exchange, and the presence of sample inhomogeneities, as well as with significant variations in sample characteristics such as pH, ionic strength, relaxation characteristics and molecular weight. Of course, such pulse sequences should produce undistorted lineshapes and baselines and work well both under automation and in the hands of non-experts. As an example, one such pulse sequences, Robust-5, will be presented. This new pulse sequence meets those criteria and is able to reduce a 50 M proteo water signal down to a 0.9 mM level, without fine tuning, and under automation, and it is therefore well suited to the most demanding of analytical applications.

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“…Metabolomics, unlike the other -omics, provides a direct signature of the metabolic state of the organism (12)(13)(14). Recent advances in mass spectrometry allow the simultaneous analysis of hundreds of metabolites from small amounts of biological material (15,16).…”

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confidence: 99%

Plasma Biomarkers of Poor Muscle Quality in Older Men and Women from the Baltimore Longitudinal Study of Aging

Moaddel

Fabbri

Khadeer

et al. 2016

GERONA

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Aging is characterized by progressive decline in muscle mass, strength, and quality all of which contribute to functional impairment, falls, mobility disability, and frailty. Circulating factors may provide clues on the mechanisms for decline in muscle quality with aging. Characterizing the metabolic profile associated with reduced muscle quality in older persons could have important translational implications for the early identification of subjects at high risk of developing sarcopenia and the identification of targets for new preventive strategies and treatments. In a pilot cross-sectional, case-control study nested in the Baltimore Longitudinal Study on Aging, we compared circulating metabolites between 79 participants with low muscle quality ratio and 79 controls with high muscle quality, matched by age, sex, and height. The concentrations of 180 metabolites were determined by LC MS/MS, using the Biocrates p180 system, a targeted metabolomics approach. Participants with low muscle quality had significantly higher levels of leucine, isoleucine, tryptophan, serotonin, and methionine, while those with high muscle quality had significantly lower levels of putrescine and the selected phophatidylcholine (PCs) and lysoPCs. The results of this study open a new road for future investigations aimed at identifying new metabolic pathways involved in the decline of muscle quality with aging.

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The Human Serum Metabolome

Cited by 1,481 publications

References 97 publications

Metabolic profiles of placenta in preeclampsia using HR-MAS MRS metabolomics

Metabolic profiles of placenta in preeclampsia using HR-MAS MRS metabolomics

Robust NMR water signal suppression for demanding analytical applications

Plasma Biomarkers of Poor Muscle Quality in Older Men and Women from the Baltimore Longitudinal Study of Aging

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