Dataset Information

Effects of obesity on the lipid and metabolite profiles of young adults by serum 1H-NMR spectroscopy.

ABSTRACT: Background:Overweight (OW) is considered a risk for various metabolic diseases. However, its effects as a mechanism that alters the metabolite profiles remain unclear. The purpose of this study is to investigate the effects that OW has on the lipid and metabolite profiles in young adults. Methods:The serum metabolite profiles of 46 young adults of normal weight and those considered OW were studied by Proton nuclear magnetic resonance spectroscopy (1H NMR) technique. Results:1H NMR metabolite analysis shows the alteration of metabolic levels and increased levels of CH2 lipids and CH3 lipids, which are used as unique biomarkers to identify OW subjects from the normal weight groups. Conclusion:This present study reveals that OW contributes to the systemic metabolism and the metabolite alteration among young adults. The alteration in serum lipids level could shed the light on metabolic syndrome pathogenesis in young adults and needs further elucidation.

SUBMITTER: Pasanta D

PROVIDER: S-EPMC6589329 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Effects of obesity on the lipid and metabolite profiles of young adults by serum <sup>1</sup>H-NMR spectroscopy.

Pasanta Duanghathai D Chancharunee Sirirat S Tungjai Montree M Kim Hong Joo HJ Kothan Suchart S

PeerJ 20190620

<h4>Background</h4>Overweight (OW) is considered a risk for various metabolic diseases. However, its effects as a mechanism that alters the metabolite profiles remain unclear. The purpose of this study is to investigate the effects that OW has on the lipid and metabolite profiles in young adults.<h4>Methods</h4>The serum metabolite profiles of 46 young adults of normal weight and those considered OW were studied by Proton nuclear magnetic resonance spectroscopy (<sup>1</sup>H NMR) technique.<h4> ...[more]

PMID: 31259100

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Project description:BackgroundLipid metabolism dysregulation is a prominent metabolic alteration in various cancers. The study aimed to explore the association of plasma lipid metabolism profiles with overall survival (OS) for gastric cancer (GC) patients who received gastrectomy.MethodsGC patients who were treated with gastrectomy and measured with plasma lipid metabolism profiles using proton nuclear magnetic resonance (1H-NMR) spectroscopy in Nanfang Hospital between January 1, 2017, and October 31, 2018, were recruited. The Least Absolute Shrinkage and Selection Operator (LASSO) regression model was used to analyze variables selected by univariate analysis for OS. An index of plasma lipid metabolism profiles, named plasma lipid metabolism index (PLMI), was constructed by variables' coefficients in LASSO regression to explore its association with OS and its role in the prediction model.ResultsA total of 158 GC patients were included in this study. Four of the 110 lipid profiles, including LDL-5 Apo-B, LDL-4 Cholesterol, HDL-4 Apo-A2, and HDL-4 Free Cholesterol, were selected to construct the PLMI. The optimal cut-off value of PLMI for OS was used to classify the population into two subgroups, the high PLMI group (≥ - 0.163) and the low PLMI group (< - 0.163). The high PLMI group had a shorter OS (p = 0.0034) and was the independent risk factor for OS (Hazard Ratio = 2.13, 95% Confidence Interval (CI): 1.07-4.22, p = 0.031) after adjusting for perineural invasion and tumor stage. In subsets of the I-III stage and treating postoperative chemotherapy, high PLMI also had an unfavorable correlation with OS (p = 0.016 and p = 0.0086, respectively). The nomogram prediction models of both the training cohort and validation cohort showed good calibration and discrimination with the concordance indexes of 0.806 (95% CI, 0.732-0.880) in the training cohort and 0.794 (95% CI, 0.725-0.862) in the validation cohort.ConclusionsThis study found that the index derived from the LDL-5 Apo-B, LDL-4 Cholesterol, HDL-4 Apo-A2, and HDL-4 Free Cholesterol, was significantly associated with overall survival, suggesting that regulating lipid metabolisms might improve the prognosis for GC patients.

Project description:Abstract Objectives Almond consumption can improve the cardiometabolic phenotype in young college students that routinely skip breakfast. However, the mechanisms underlying the above physiological changes are not well characterized. The study aimed to explore the effects of consuming a morning snack of almonds (high-fat) vs. crackers (high-carbohydrate) for 8 weeks on primary metabolites such as sugars, amino acids, sterols, hormones, catecholamines, hydroxyl acids, fatty acids, aromatics and other intermediates of primary metabolism in young adults. Methods Newly enrolled, college students (n = 73, age: 18–19 years, BMI: 18–41 kg/m2), primarily breakfast skippers, were randomly assigned to consume a morning snack, i.e., either almonds (2 oz./d, n = 38) or an isocaloric graham cracker snack (325 kcal/d, n = 35) daily for 8 weeks (Clinical trials: NCT03084003). Fasted blood samples were collected at baseline, mid-point and at the end of the 8-week intervention. Metabolite abundances in the serum were quantified by gas chromatography time-of-flight (GCTOF) mass spectrometry (MS). Data were reported as quantitative ion peak heights and were normalized by the sum intensity of all annotated metabolites. Linear mixed model analyses were conducted to assess the effects of the snack groups on the metabolites over the 8-week intervention. The P-values were adjusted for false discovery rate (FDR). Results Out of the 542 features detected, 160 were identified as known compounds. Aspartic acid, phenylalanine and taurine (amino acids), azelaic acid (dicarboxylic acid), octadeconol (fatty alcohol), threonic acid (sugar acid) increased (time effect, P < 0.05) while linoleic acid, myristic acid and palmitoleic acid (fatty acids) decreased (time effect, P < 0.05) over the 8-week snacking intervention. In addition, alpha-tocopherol (biomarker of almond consumption) and aconitic acid (TCA cycle intermediate) increased over 8 weeks in the almond group but not in the cracker group (time x snack effect, P < 0.05, Figure 1). Conclusions Consumption of a morning snack for 8 weeks altered the abundance of specific primary metabolites including those involved in biochemical pathways such as aconitic acid (almond snacking only) in routinely breakfast skipping young adults. The findings on the whole indicate a differential shift in metabolism with almond and cracker snacking which will be further analyzed through associations with glucoregulatory and cardiovascular outcomes. Funding Sources Almond Board of California, NIH-NIMHD. Supporting Tables, Images and/or Graphs

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Effects of obesity on the lipid and metabolite profiles of young adults by serum 1H-NMR spectroscopy.

Publications

Effects of obesity on the lipid and metabolite profiles of young adults by serum <sup>1</sup>H-NMR spectroscopy.

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