scholarly journals Urine Untargeted Metabolomic Profiling Is Associated with the Dietary Pattern of Successful Aging among Malaysian Elderly

Nutrients ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2900
Author(s):  
Nik Nur Izzati Nik Mohd Fakhruddin ◽  
Suzana Shahar ◽  
Intan Safinar Ismail ◽  
Amalina Ahmad Azam ◽  
Nor Fadilah Rajab
Keyword(s):  
Nuclear Magnetic Resonance ◽  
1H Nmr ◽  
Successful Aging ◽  
Urinary Metabolites ◽  
Metabolomic Profiling ◽  
1H Nuclear Magnetic Resonance ◽  
Components Analysis ◽  
The Relationship ◽  
Metabolomic Approach ◽  
Urine Metabolomics

Food intake biomarkers (FIBs) can reflect the intake of specific foods or dietary patterns (DP). DP for successful aging (SA) has been widely studied. However, the relationship between SA and DP characterized by FIBs still needs further exploration as the candidate markers are scarce. Thus, 1H-nuclear magnetic resonance (1H-NMR)-based urine metabolomics profiling was conducted to identify potential metabolites which can act as specific markers representing DP for SA. Urine sample of nine subjects from each three aging groups, SA, usual aging (UA), and mild cognitive impairment (MCI), were analyzed using the 1H-NMR metabolomic approach. Principal components analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) were applied. The association between SA urinary metabolites and its DP was assessed using the Pearson’s correlation analysis. The urine of SA subjects was characterized by the greater excretion of citrate, taurine, hypotaurine, serotonin, and melatonin as compared to UA and MCI. These urinary metabolites were associated with alteration in “taurine and hypotaurine metabolism” and “tryptophan metabolism” in SA elderly. Urinary serotonin (r = 0.48, p < 0.05) and melatonin (r = 0.47, p < 0.05) were associated with oat intake. These findings demonstrate that a metabolomic approach may be useful for correlating DP with SA urinary metabolites and for further understanding of SA development.

scholarly journals Application of 1H-NMR Metabolomics for the Discovery of Blood Plasma Biomarkers of a Mediterranean Diet

Metabolites ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 201 ◽  
Author(s):  
Shirin Macias ◽  
Joseph Kirma ◽  
Ali Yilmaz ◽  
Sarah E. Moore ◽  
Michelle C. McKinley ◽  
...  
Keyword(s):  
Citric Acid ◽  
Mediterranean Diet ◽  
1H Nmr ◽  
Pyruvic Acid ◽  
Plasma Metabolites ◽  
Dietary Biomarkers ◽  
Metabolomic Profiling ◽  
1H Nuclear Magnetic Resonance ◽  
Sweet Foods ◽  
The Mediterranean

The Mediterranean diet (MD) is a dietary pattern well-known for its benefits in disease prevention. Monitoring adherence to the MD could be improved by discovery of novel dietary biomarkers. The MEDiterranean Diet in Northern Ireland (MEDDINI) intervention study monitored the adherence of participants to the MD for up to 12 months. This investigation aimed to profile plasma metabolites, correlating each against the MD score of participants (n = 58). Based on an established 14-point scale MD score, subjects were classified into two groups (“low” and “high”). 1H-Nuclear Magnetic Resonance (1H-NMR) metabolomic analysis found that citric acid was the most significant metabolite (p = 5.99 × 10−4*; q = 0.03), differing between ‘low’ and ‘high’. Furthermore, five additional metabolites significantly differed (p < 0.05; q < 0.35) between the two groups. Discriminatory metabolites included: citric acid, pyruvic acid, betaine, mannose, acetic acid and myo-inositol. Additionally, the top five most influential metabolites in multivariate models were also citric acid, pyruvic acid, betaine, mannose and myo-inositol. Metabolites significantly correlated with the consumption of certain food types. For example, citric acid positively correlated fruit, fruit juice and vegetable constituents of the diet, and negatively correlated with sweet foods alone or when combined with carbonated drinks. Citric acid was the best performing biomarker and this was enhanced by paired ratio with pyruvic acid. The present study demonstrates the utility of metabolomic profiling for effectively assessing adherence to MD and the discovery of novel dietary biomarkers.

scholarly journals Effects of the Chiral Fungicides Metalaxyl and Metalaxyl-M on the Earthworm Eisenia fetida as Determined by 1H-NMR-Based Untargeted Metabolomics

Molecules ◽  
2019 ◽  
Vol 24 (7) ◽  
pp. 1293 ◽  
Author(s):  
Renke Zhang ◽  
Zhiqiang Zhou
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Citric Acid ◽  
Magnetic Resonance ◽  
1H Nmr ◽  
Eisenia Fetida ◽  
Tricarboxylic Acid ◽  
Untargeted Metabolomics ◽  
1H Nuclear Magnetic Resonance ◽  
Endogenous Metabolites ◽  
Arginine Aspartate

Although metalaxyl and metalaxyl-M are widely used fungicides, very little is known about their subacute and enantiospecific effects on the earthworm metabolome. In this study, Eisenia fetida were exposed to metalaxyl and metalaxyl-M at three concentrations (0.5, 5 and 50 mg/kg) for seven days. 1H nuclear magnetic resonance (1H-NMR)-based untargeted metabolomics showed that metalaxyl and metalaxyl-M exposure disturbed earthworms’ metabolism at all three concentrations. Endogenous metabolites, such as succinate, arginine, aspartate, urea, asparagine, alanine, trimethylamine, taurine, cysteine, serine, threonine, histidine, lysine, glucose, choline, carnitine, citric acid, alpha-ketoisovaleric acid, fumaric acid and so on, were significantly changed. These results indicate that metalaxyl and metalaxyl-M produce different, enantiospecific disturbances in the earthworm metabolism, particularly in the tricarboxylic acid (TCA) and urea cycles. The application of untargeted metabolomics thus provides more information for evaluating the toxic risks of metalaxyl and metalaxyl-M.

Iodide ion receptors: shape-persistent macrocycles of syn/anti Configurations

2021 ◽  
Author(s):  
Guang-Wei Zhang ◽  
Jia-Yin XIANG ◽  
Tao-Tao Zhong ◽  
Xin-Ru ZHI ◽  
Chuang Gao ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Single Crystal ◽  
1H Nmr ◽  
X Ray ◽  
Macrocyclic Receptors ◽  
Iodide Ion ◽  
1H Nuclear Magnetic Resonance ◽  
Ion Receptors ◽  
Nuclear Magnetic

This article reports a pair of rigid iodide ion macrocyclic receptors of syn/anti configurations. Single crystal X-ray analysis confirms the structure of the syn-isomers, 1H Nuclear Magnetic Resonance (1H NMR)...

scholarly journals Serum metabolite profiles of habitual diet: evaluation by 1H-nuclear magnetic resonance analysis

2019 ◽  
Vol 110 (1) ◽  
pp. 53-62 ◽  
Author(s):  
Helen M Lindqvist ◽  
Millie Rådjursöga ◽  
Daniel Malmodin ◽  
Anna Winkvist ◽  
Lars Ellegård
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Body Composition ◽  
Magnetic Resonance ◽  
1H Nmr ◽  
Food Diary ◽  
Serum Samples ◽  
Orthogonal Projections ◽  
Animal Products ◽  
1H Nuclear Magnetic Resonance ◽  
Nuclear Magnetic

ABSTRACTBackgroundObjective and reliable methods to measure dietary exposure and prove associations and causation between diet and health are desirable.ObjectiveThe aim of this study was to investigate if 1H-nuclear magnetic resonance (1H-NMR) analysis of serum samples may be used as an objective method to discriminate vegan, vegetarian, and omnivore diets. Specifically, the aim was to identify a metabolite pattern that separated meat-eaters from non–meat-eaters and vegans from nonvegans.MethodsHealthy volunteers (45 men and 75 women) complying with habitual vegan (n = 43), vegetarian (n = 24 + vegetarians adding fish n = 13), or omnivore (n = 40) diets were enrolled in the study. Data were collected on clinical phenotype, body composition, lifestyle including a food-frequency questionnaire (FFQ), and a 4-d weighed food diary. Serum samples were analyzed by routine clinical test and for metabolites by 1H-NMR spectroscopy. NMR data were nonnormalized, UV-scaled, and analyzed with multivariate data analysis [principal component analysis, orthogonal projections to latent structures (OPLS) and OPLS with discriminant analysis]. In the multivariate analysis volunteers were assigned as meat-eaters (omnivores), non–meat-eaters (vegans and vegetarians), vegans, or nonvegans (lacto-ovo-vegetarians, vegetarians adding fish, and omnivores). Metabolites were identified by line-fitting of 1D 1H-NMR spectra and the use of statistical total correlation spectroscopy.ResultsAlthough many metabolites differ in concentration between men and women as well as by age, body mass index, and body composition, it was possible to correctly classify 97.5% of the meat-eaters compared with non–meat-eaters and 92.5% of the vegans compared with nonvegans. The branched-chain amino acids, creatine, lysine, 2-aminobutyrate, glutamine, glycine, trimethylamine, and 1 unidentified metabolite were among the most important metabolites in the discriminating patterns in relation to intake of both meat and other animal products.Conclusions1H-NMR serum metabolomics appears to be a possible objective tool to identify and predict habitual intake of meat and other animal products in healthy subjects. These results should be confirmed in larger cohort studies or intervention trials. This trial was registered at clinicaltrials.gov as NCT02039609.

Metabolomic profiling in multiple sclerosis: insights into biomarkers and pathogenesis

2014 ◽  
Vol 20 (10) ◽  
pp. 1396-1400 ◽  
Author(s):  
SN Reinke ◽  
DI Broadhurst ◽  
BD Sykes ◽  
GB Baker ◽  
I Catz ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Nuclear Magnetic Resonance ◽  
Cluster Analysis ◽  
Cerebrospinal Fluid ◽  
Magnetic Resonance ◽  
Phospholipid Metabolism ◽  
Metabolomic Profiling ◽  
Spectroscopic Analyses ◽  
Metabolite Profiles ◽  
Components Analysis

Metabolomics enables the provision of sensitive bio-markers of disease. We performed 800 MHz 1H-nuclear magnetic resonance (NMR) spectroscopic analyses of cerebrospinal fluid (CSF) specimens to identify biomarkers of multiple sclerosis (MS), yielding reproducible detection of 15 metabolites from MS ( n=15) and non-MS ( n=17) patients. Mean levels of choline, myo-inositol and threonate were increased, whereas 3-hydroxybutyrate, citrate, phenylalanine, 2-hydroxyisovalerate and mannose were decreased in MS-derived CSF ( p<0.05), suggesting alterations to energy and phospholipid metabolism. Multivariate hierarchal cluster analysis indicated a high correlation within the metabolite profiles, significantly clustering samples into the two clinical groups, which was corroborated using principal components analysis. CSF metabolomics have the capacity to yield quantitative biomarkers and insights into the pathogenesis of MS.

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