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Metabolic impact of pheochromocytoma/paraganglioma: targeted metabolomics in patients before and after tumor removal.
Erlic, Z, Kurlbaum, M, Deutschbein, T, Nölting, S, Prejbisz, A, Timmers, H, Richter, S, Prehn, C, Weismann, D, Adamski, J, et al
European journal of endocrinology. 2019;(6):647-657
Abstract
OBJECTIVE Excess catecholamine release by pheochromocytomas and paragangliomas (PPGL) leads to characteristic clinical features and increased morbidity and mortality. The influence of PPGLs on metabolism is ill described but may impact diagnosis and management. The objective of this study was to systematically and quantitatively study PPGL-induced metabolic changes at a systems level. DESIGN Targeted metabolomics by liquid chromatography-tandem mass spectrometry of plasma specimens in a clinically well-characterized prospective cohort study. METHODS Analyses of metabolic profiles of plasma specimens from 56 prospectively enrolled and clinically well-characterized patients (23 males, 33 females) with catecholamine-producing PPGL before and after surgery, as well as measurement of 24-h urinary catecholamine using LC-MS/MS. RESULTS From 127 analyzed metabolites, 15 were identified with significant changes before and after surgery: five amino acids/biogenic amines (creatinine, histidine, ornithine, sarcosine, tyrosine) and one glycerophospholipid (PCaeC34:2) with increased concentrations and six glycerophospholipids (PCaaC38:1, PCaaC42:0, PCaeC40:2, PCaeC42:5, PCaeC44:5, PCaeC44:6), two sphingomyelins (SMC24:1, SMC26:1) and hexose with decreased levels after surgery. Patients with a noradrenergic tumor phenotype had more pronounced alterations compared to those with an adrenergic tumor phenotype. Weak, but significant correlations for 8 of these 15 metabolites with total urine catecholamine levels were identified. CONCLUSIONS This first large prospective metabolomics analysis of PPGL patients demonstrates broad metabolic consequences of catecholamine excess. Robust impact on lipid and amino acid metabolism may contribute to increased morbidity of PPGL patients.
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Metabolomic study of bioactive compounds in strawberries preserved under controlled atmosphere based on GC-MS and DI-ESI-QqQ-TOF-MS.
Ramírez-Acosta, S, Arias-Borrego, A, Gómez-Ariza, JL, García-Barrera, T
Phytochemical analysis : PCA. 2019;(2):198-207
Abstract
INTRODUCTION The storage of the vegetables products in a controlled atmosphere (CA) with low O2 and high CO2 concentrations, reduces respiration rates and delays the ripening process, and in some cases, improves their quality and organoleptic properties. OBJECTIVE To obtain deep insight into strawberry fruit metabolic changes caused by these CA treatments. METHODOLOGY Freshly harvested strawberries were preserved under different atmospheres enriched with 10%, 20% and 30% of CO2 , for 2 days at 0°C, containing in all the cases 5% of O2 and were subjected to a metabolomic analysis based on gas chromatography-mass spectrometry (GC-MS) and direct-infusion with electrospray ionisation source equipped with triple quadrupole coupled to time of flight mass spectrometry (DI-ESI-QqQ-TOF-MS). Partial least square discriminant analysis (PLS-DA) was employed to compare the control and treated samples for the identification of altered metabolites. RESULTS Several metabolites related to CA treatment could be identified by databases and literature, which are mainly sugars, organic acids and phenolic compounds (bioactive compounds). CONCLUSIONS Good correlation coefficients were obtained between discriminant metabolites and fruit quality parameters. These results suggest that treated strawberries under CA could be considered as bioactive healthy compounds, suggesting that treated strawberries under CA could be used as raw material for the preparation and formulation of food supplements and nutraceutical products.
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Are All Breast-fed Infants Equal? Clustering Metabolomics Data to Identify Predictive Risk Clusters for Childhood Obesity.
Kirchberg, FF, Grote, V, Gruszfeld, D, Socha, P, Closa-Monasterolo, R, Escribano, J, Verduci, E, Mariani, B, Langhendries, JP, Poncelet, P, et al
Journal of pediatric gastroenterology and nutrition. 2019;(3):408-415
Abstract
OBJECTIVES Fetal and early life represent a period of developmental plasticity during which metabolic pathways are modified by environmental and nutritional cues. Little is known on the pathways underlying this multifactorial complex. We explored whether 6 months old breast-fed infants could be clustered into metabolically similar groups and that those metabotypes could be used to predict later obesity risk. METHODS Plasma samples were obtained from 183 breast-fed infants aged 6 months participating in the European multicenter Childhood Obesity Project study. We measured amino acids along with polar lipid concentrations (acylcarnitines, lysophosphatidylcholines, phosphatidylcholines, sphingomyelins). We determined the metabotypes using a Bayesian agglomerative clustering method and investigated the properties of these clusters with respect to clinical, programming, and metabolic factors up to 6 years of age. RESULTS We identified 20 metabolite clusters comprising 1 to 39 children. Phosphatidylcholines predominantly influenced the clustering process. In the largest clusters (n ≥ 14), large differences existed for birth length (unadjusted P < 0.0001) and length and weight at 6 months (unadjusted P < 0.0001 and P = 0.012, respectively). Infants tended to cluster together by country (unadjusted P < 0.001). The body mass index (BMI) z score at 6 years of age tended to differ (unadjusted P = 0.07). CONCLUSIONS Our exploratory study provided evidence that breast-fed infants are not metabolically homogeneous and that variation in metabolic profiles among infants may provide insight into later development and health. This work highlights the potential of metabotypes for identifying inter-individual differences that may form the basis for developing personalized early preventive strategies.
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Microbiome 101: Studying, Analyzing, and Interpreting Gut Microbiome Data for Clinicians.
Allaband, C, McDonald, D, Vázquez-Baeza, Y, Minich, JJ, Tripathi, A, Brenner, DA, Loomba, R, Smarr, L, Sandborn, WJ, Schnabl, B, et al
Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association. 2019;(2):218-230
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Abstract
Advances in technical capabilities for reading complex human microbiomes are leading to an explosion of microbiome research, leading in turn to intense interest among clinicians in applying these techniques to their patients. In this review, we discuss the content of the human microbiome, including intersubject and intrasubject variability, considerations of study design including important confounding factors, and different methods in the laboratory and on the computer to read the microbiome and its resulting gene products and metabolites. We highlight several common pitfalls for clinicians, including the expectation that an individual's microbiome will be stable, that diet can induce rapid changes that are large compared with the differences among subjects, that everyone has essentially the same core stool microbiome, and that different laboratory and computational methods will yield essentially the same results. We also highlight the current limitations and future promise of these techniques, with the expectation that an understanding of these considerations will help accelerate the path toward routine clinical application of these techniques developed in research settings.
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Applications of Innovative Lipidomic Methods for Blood Lipid Biomarkers.
Stark, KD
Journal of oleo science. 2019;(6):503-510
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Assessing dietary intake is critical for understanding the relationship between diet and health. Fatty acid blood biomarkers have been particularly useful in determining dietary intakes and assessing the risk of chronic disease. However, fatty acid analysis involves the removal of fatty acids from their complex lipid structures resulting in a loss of potentially useful biological information. "Lipidomics" involves the use of mass spectrometry to identify lipids in their native form. Lipidomic approaches present challenges as an alternative to fatty acid analysis. This includes different types of lipidomic approaches and a lack of consensus on the lipids reported in different studies. Distinguishing between macrolipidomic approaches to characterize highly abundant lipids and microlipidomic approaches examining low abundant bioactive lipids and the use of brutto, medio, genio, and infinio to describe the level of information of lipidomic data can provide clarity to the field. Using lipidomic measurements for understanding docosahexaenoic acid metabolism during pregnancy will also be examined.
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1H NMR-based metabolomics profiling of ten new races from Capsicum annuum cv. serrano produced in Mexico.
Villa-Ruano, N, Ramírez-Meraz, M, Méndez-Aguilar, R, Zepeda-Vallejo, LG, Álvarez-Bravo, A, Pérez-Hernández, N, Becerra-Martínez, E
Food research international (Ottawa, Ont.). 2019;:785-792
Abstract
Herein we report on the 1H NMR-based metabolomics profiling of ten new races of Capsicum annuum cv. serrano, cultivated in Mexico. Forty eight metabolites (including sugars, amino acids, organic acids, polyphenolic acids and alcohols) were identified and quantified by 2D NMR and qNMR, respectively. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) separated the ten races into two clusters, from which citric acid, formic acid, fumaric acid, malic acid, glucose, fructose, sucrose and galactose were found as differential metabolites. This is the first study describing the chemical profiling of ten new races of Capsicum annuum cv. serrano and the spectrometric method used presently is characterized by great simplicity, robustness and reproducibility. Thus, this technique can be used for establishing reliable metabolomic fingerprints of different races of Capsicum annuum cv. serrano.
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Loss of SETD2 Induces a Metabolic Switch in Renal Cell Carcinoma Cell Lines toward Enhanced Oxidative Phosphorylation.
Liu, J, Hanavan, PD, Kras, K, Ruiz, YW, Castle, EP, Lake, DF, Chen, X, O'Brien, D, Luo, H, Robertson, KD, et al
Journal of proteome research. 2019;(1):331-340
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Abstract
SETD2, a histone H3 lysine trimethyltransferase, is frequently inactivated and associated with recurrence of clear cell renal cell carcinoma (ccRCC). However, the impact of SETD2 loss on metabolic alterations in ccRCC is still unclear. In this study, SETD2 null isogenic 38E/38F clones derived from 786-O cells were generated by zinc finger nucleases, and subsequent metabolic, genomic, and cellular phenotypic changes were analyzed by targeted metabolomics, RNA sequencing, and biological methods, respectively. Our results showed that compared with parental 786-O cells, 38E/38F cells had elevated levels of MTT/Alamar blue levels, ATP, glycolytic/mitochondrial respiratory capacity, citrate synthase (CS) activity, and TCA metabolites such as aspartate, malate, succinate, fumarate, and α-ketoglutarate. The 38E/38F cells also utilized alternative sources beyond pyruvate to generate acetyl-CoA for the TCA cycle. Moreover, 38E/38F cells showed disturbed gene networks mainly related to mitochondrial metabolism and the oxidation of fatty acids and glucose, which was associated with increased PGC1α, mitochondrial mass, and cellular size/complexity. Our results indicate that SETD2 deficiency induces a metabolic switch toward enhanced oxidative phosphorylation in ccRCC, which can be related to PGC1α-mediated metabolic networks. Therefore, this current study lays the foundation for the further development of a global metabolic analysis of cancer cells in individual patients, which ultimately will have significant potential for the discovery of novel therapeutics and precision medicine in SETD2-inactivated ccRCC.
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A Metabonomics Approach to Drug Toxicology in Liver Disease and its Application in Traditional Chinese Medicine.
Su, G, Wang, H, Bai, J, Chen, G, Pei, Y
Current drug metabolism. 2019;(4):292-300
Abstract
BACKGROUND The progression of liver disease causes metabolic transformation in vivo and thus affects corresponding endogenous small molecular compounds. Metabonomics is a powerful technology which is able to assess global low-molecular-weight endogenous metabolites in a biological system. This review is intended to provide an overview of a metabonomics approach to the drug toxicology of diseases of the liver. METHODS The regulation of, and relationship between, endogenous metabolites and diseases of the liver is discussed in detail. Furthermore, the metabolic pathways involved in drug interventions of liver diseases are reviewed. Evaluation of the protective mechanisms of traditional Chinese medicine in liver diseases using metabonomics is also reviewed. Examples of applications of metabolite profiling concerning biomarker discovery are highlighted. In addition, new developments and future prospects are described. RESULTS Metabonomics can measure changes in metabolism relating to different stages of liver disease, so metabolic differences can provide a basis for the diagnosis, treatment and prognosis of various diseases. CONCLUSION Metabonomics has great advantages in all aspects of the therapy of liver diseases, with good prospects for clinical application.
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Metabolomics of Aerobic Exercise in Chronic Stroke Survivors: A Pilot Study.
Serra, MC, Accardi, CJ, Ma, C, Park, Y, Tran, V, Jones, DP, Hafer-Macko, CE, Ryan, AS
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association. 2019;(12):104453
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BACKGROUND Understanding the metabolic response to exercise may aid in optimizing stroke management. Therefore, the purpose of this pilot study was to evaluate plasma metabolomic profiles in chronic stroke survivors following aerobic exercise training. METHODS Participants (age: 62 ± 1 years, body mass index: 31 ± 1 kg/m2, mean ± standard error of the mean) were randomized to 6 months of treadmill exercise (N = 17) or whole-body stretching (N = 8) with preintervention and postintervention measurement of aerobic capacity (VO2peak). Linear models for microarray data expression analysis was performed to determine metabolic changes over time, and Mummichog was used for pathway enrichment analysis following analysis of plasma samples by high-performance liquid chromatography coupled to ultrahigh resolution mass spectrometry. RESULTS VO2peak change was greater following exercise than stretching (18.9% versus -.2%; P < .01). Pathway enrichment analysis of differentially expressed metabolites results showed significant enrichment in 4 pathways following treadmill exercise, 3 of which (heparan-, chondroitin-, keratan-sulfate degradation) involved connective tissue metabolism and the fourth involve lipid signaling (linoleate metabolism). More pathways were altered in pre and post comparisons of stretching, including branched-chain amino acid, tryptophan, tyrosine, and urea cycle, which could indicate loss of lean body mass. CONCLUSIONS These preliminary data show different metabolic changes due to treadmill training and stretching in chronic stroke survivors and suggest that in addition to improved aerobic capacity, weight-bearing activity, like walking, could protect against loss of lean body mass. Future studies are needed to examine the relationship between changes in metabolomic profiles to reductions in cardiometabolic risk after treadmill rehabilitation.
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Factors influencing the cardiometabolic response to (poly)phenols and phytosterols: a review of the COST Action POSITIVe activities.
Gibney, ER, Milenkovic, D, Combet, E, Ruskovska, T, Greyling, A, González-Sarrías, A, de Roos, B, Tomás-Barberán, F, Morand, C, Rodriguez-Mateos, A
European journal of nutrition. 2019;(Suppl 2):37-47
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PURPOSE Evidence exists regarding the beneficial effects of diets rich in plant-based foods regarding the prevention of cardiometabolic diseases. These plant-based foods are an exclusive and abundant source of a variety of biologically active phytochemicals, including polyphenols, carotenoids, glucosinolates and phytosterols, with known health-promoting effects through a wide range of biological activities, such as improvements in endothelial function, platelet function, blood pressure, blood lipid profile and insulin sensitivity. We know that an individual's physical/genetic makeup may influence their response to a dietary intervention, and thereby may influence the benefit/risk associated with consumption of a particular dietary constituent. This inter-individual variation in responsiveness has also been described for dietary plant bioactives but has not been explored in depth. To address this issue, the European scientific experts involved in the COST Action POSITIVe systematically analyzed data from published studies to assess the inter-individual variation in selected clinical biomarkers associated with cardiometabolic risk, in response to the consumption of plant-based bioactives (poly)phenols and phytosterols. The present review summarizes the main findings resulting from the meta-analyses already completed. RESULTS Meta-analyses of randomized controlled trials conducted within POSITIVe suggest that age, sex, ethnicity, pathophysiological status and medication may be responsible for the heterogeneity in the biological responsiveness to (poly)phenol and phytosterol consumption and could lead to inconclusive results in some clinical trials aiming to demonstrate the health effects of specific dietary bioactive compounds. However, the contribution of these factors is not yet demonstrated consistently across all polyphenolic groups and cardiometabolic outcomes, partly due to the heterogeneity in trial designs, low granularity of data reporting, variety of food vectors and target populations, suggesting the need to implement more stringent reporting practices in the future studies. Studies investigating the effects of genetic background or gut microbiome on variability were limited and should be considered in future studies. CONCLUSION Understanding why some bioactive plant compounds work effectively in some individuals but not, or less, in others is crucial for a full consideration of these compounds in future strategies of personalized nutrition for a better prevention of cardiometabolic disease. However, there is also still a need for the development of a substantial evidence-base to develop health strategies, food products or lifestyle solutions that embrace this variability.