NMR-based metabolomics in human disease diagnosis: applications, limitations, and recommendations

Emwas, Abdul‐Hamid; Salek, Reza M.; Griffin, Julian L.; Merzaban, Jasmeen S.

doi:10.1007/s11306-013-0524-y

Cited by 212 publications

(182 citation statements)

References 237 publications

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“…194 However, dietary restrictions can not be applied to pregnancy study participants. Stability of blood lipid analysis and CVD risk to fasting status has been investigated, nding that also postprandial triglyceride levels correspond to risk of CVD.…”

Section: Methodsological Considerationsmentioning

confidence: 99%

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

et al. 2015

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Section: Methodsological Considerationsmentioning

confidence: 99%

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

et al. 2015

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“…5. In biological samples, peaks observed at 0.8-1.1 ppm are usually associated with methyl groups of amino acids in peptides and PN; peaks observed between 0.8 and 2.3 ppm are usually associated to CH 3 and CH 2 in organic molecules; peaks between 2.2 and 5.2 ppm are generally carbohydrates (mainly sugar and PS); amide peaks are usually between 5.5 and 6.6 ppm; aromatic peaks are between 7 and 8.4 ppm; and peaks down the field at 8-10 ppm are related to aldehydes [25,44,45]. 1 H chemicals shifts associated with different compounds are given in Table 3.…”

Section: Chemical Structure Of Ps In Aommentioning

confidence: 99%

Advanced characterization of dissolved organic matter released by bloom-forming marine algae

Rehman¹,

Jeong²,

Tabatabai³

et al. 2017

dwt

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a b s t r a c tAlgal organic matter (AOM), produced by marine phytoplankton during bloom periods, may adversely affect the performance of membrane processes in seawater desalination. The polysaccharide fraction of AOM has been related to (bio)fouling in micro-filtration and ultrafiltration, and reverse osmosis membranes. However, so far, the chemical structure of the polysaccharides released by bloom-forming algae is not well understood. In this study, dissolved fraction of AOM produced by three algal species (Chaetoceros affinis, Nitzschia epithemoides and Hymenomonas spp.) was characterized using liquid chromatography-organic carbon detection (LC-OCD) and fluorescence spectroscopy. Chemical structure of polysaccharides isolated from the AOM solutions at stationary phase was analyzed using proton nuclear magnetic resonance ( 1 H-NMR). The results showed that production and composition of dissolved AOM varied depending on algal species and their growth stage. AOM was mainly composed of biopolymers (BP; i.e., polysaccharides and proteins [PN]), but some refractory substances were also present. 1 H-NMR spectra confirmed the predominance of carbohydrates in all samples. Furthermore, similar fingerprints were observed for polysaccharides of two diatom species, which differed considerably from that of coccolithophores. Based on the findings of this study, 1 H-NMR could be used as a method for analyzing chemical profiles of algal polysaccharides to enhance the understanding of their impact on membrane fouling.

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“…Each of these steps has been well investigated for either NMR- [14][15][16][17][18][19][20] or mass spectrometry (MS)-based [21][22][23][24] approaches to metabolic profiling. The step that presents the most difficulties to investigators using either NMR-based or MS-based approaches is metabolite identification (see Section 2.4 below).…”

Section: Key Elements Of Metabolic Profiling Experimentsmentioning

confidence: 99%

NMR-based pharmacometabonomics: A new paradigm for personalised or precision medicine

Everett

2017

Progress in Nuclear Magnetic Resonance Spectroscopy

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Metabolic profiling by NMR spectroscopy or hyphenated mass spectrometry, known as metabonomics or metabolomics, is an important tool for systemsbased approaches in biology and medicine. The experiments are typically done in a diagnostic fashion where changes in metabolite profiles are interpreted as a consequence of an intervention or event; be that a change in diet, the administration of a drug, physical exertion or the onset of a disease. By contrast, pharmacometabonomics takes a prognostic approach to metabolic profiling, in order to predict the effects of drug dosing before it occurs. Differences in predose metabolite profiles between groups of subjects are used to predict postdose differences in response to drug administration. Thus the paradigm is inverted and pharmacometabonomics is the metabolic equivalent of pharmacogenomics. Although the field is still in its infancy, it is expected that pharmacometabonomics, alongside pharmacogenomics, will assist with the delivery of personalised or precision medicine to patients, which is a critical goal of 21 st century healthcare. Highlights metabonomics or metabolomics involves metabolic profiling by NMR or MS methods  metabonomics is used in a diagnostic mode to study the effects of an intervention  pharmacometabonomics is a prognostic method to predict the effects of drugs  pharmacometabonomics is a special case of predictive metabonomics  pharmacometabonomics will help to deliver personalised medicine in the future Graphical AbstractNMR-Based Pharmacometabonomics PNMRS 2017

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NMR-based metabolomics in human disease diagnosis: applications, limitations, and recommendations

Cited by 212 publications

References 237 publications

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

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

Advanced characterization of dissolved organic matter released by bloom-forming marine algae

NMR-based pharmacometabonomics: A new paradigm for personalised or precision medicine

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