Plasma metabolomic profiling of amino acids and polar lipids in Iranian obese adults

Objective. To identify biomarkers, which are most specific for patients with metabolic syndrome (MS) using metabolomic profiling.Materials and Methods. Metabolomic profiling of patients with MS and comparison of their profile with the profile of volunteers was performed using high-performance liquid chromatography-mass-spectrometry.Results. The metabolomic profile of MS patients differed in several amino acids, including choline, cysteine, and serine and in the acylcarnitine group (р<0.05 for all comparisons).Conclusion. The metabolites most specific for MS patients were identified. Increased concentrations of a combination of amino acids and carnitines can be considered as possible additional risk factors for cardiovascular diseases.

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Targeted Metabolomic Profiling Reveals Association Between Altered Amino Acids and Poor Functional Recovery After Stroke

Frontiers in Neurology ◽

10.3389/fneur.2019.01425 ◽

2020 ◽

Vol 10 ◽

Author(s):

Xin Wang ◽

Tao Liu ◽

Haixin Song ◽

Shaoyang Cui ◽

Gang Liu ◽

...

Keyword(s):

Amino Acids ◽

Functional Recovery ◽

Metabolomic Profiling

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Longitudinal Metabolomic Profiling of Amino Acids and Lipids across Healthy Pregnancy

PLoS ONE ◽

10.1371/journal.pone.0145794 ◽

2015 ◽

Vol 10 (12) ◽

pp. e0145794 ◽

Cited By ~ 70

Author(s):

Karen L. Lindsay ◽

Christian Hellmuth ◽

Olaf Uhl ◽

Claudia Buss ◽

Pathik D. Wadhwa ◽

...

Keyword(s):

Amino Acids ◽

Healthy Pregnancy ◽

Metabolomic Profiling

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GC-MS-based Metabolomic Profiling of Thymoquinone in Streptozotocin-induced Diabetic Nephropathy in Rats

Natural Product Communications ◽

10.1177/1934578x1701200423 ◽

2017 ◽

Vol 12 (4) ◽

pp. 1934578X1701200 ◽

Cited By ~ 1

Author(s):

Mohammad Raish ◽

Ajaz Ahmad ◽

Basit L. Jan ◽

Khalid M. Alkharfy ◽

Kazi Mohsin ◽

...

Keyword(s):

Amino Acids ◽

Fatty Acids ◽

Diabetic Nephropathy ◽

Therapeutic Interventions ◽

Gas Chromatography Mass Spectrometry ◽

Therapeutic Effects ◽

Serum Samples ◽

Metabolomic Profiling ◽

Stage Renal Disease ◽

End Stage

Diabetic nephropathy is a common complication of diabetes mellitus and one of the major etiologies of end-stage renal disease. Specific therapeutic interventions are necessary to treat such complications. The present study was designed to investigate the metabolomic changes induced by thymoquinone for the treatment of diabetic nephropathy, using a rodent model. Rats were divided into three different groups (n = 6 each): control, diabetic, and thymoquinone-treated diabetic groups. Metabolites in serum samples were analyzed via gas chromatography-mass spectrometry. Multiple changes were observed, including those related to the metabolism of amino acids and fatty acids. The correlation analysis suggested that treatment with thymoquinone led to the reversal of diabetic nephropathy that was associated with modulations in the metabolism and proteolysis of amino acids, fatty acids, glycerol phospholipids, and organic acids. In addition, we explored the mechanisms linking the metabolic profiling of diabetic nephropathy, with a particular emphasis on the potential roles of increased reactive oxygen species production and mitochondrial dysfunctions. Our findings demonstrated that metabolomic profiling provided significant insights into the basic mechanisms of diabetic nephropathy and the therapeutic effects of thymoquinone.

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Baseline plasma essential amino acids are associated with lower levels of fatigue after weight loss in morbidly obese adults

Clinical Nutrition ESPEN ◽

10.1016/j.clnesp.2020.09.169 ◽

2020 ◽

Vol 40 ◽

pp. 462

Author(s):

R.A. Wierzchowska-Mcnew ◽

M.N. Pittman ◽

K.D. Knoop ◽

M.P. Engelen ◽

N.E. Deutz

Keyword(s):

Amino Acids ◽

Weight Loss ◽

Essential Amino Acids ◽

Morbidly Obese ◽

Obese Adults

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Investigation of diets associated with dilated cardiomyopathy in dogs using foodomics analysis

Scientific Reports ◽

10.1038/s41598-021-94464-2 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Caren E. Smith ◽

Laurence D. Parnell ◽

Chao-Qiang Lai ◽

John E. Rush ◽

Lisa M. Freeman

Keyword(s):

Amino Acids ◽

Amino Acid ◽

Random Forest ◽

Dilated Cardiomyopathy ◽

Heart Muscle ◽

Predictive Accuracy ◽

Sweet Potatoes ◽

Metabolomic Profiling ◽

Biochemical Compounds ◽

Plant Compounds

AbstractDilated cardiomyopathy (DCM) is a disease of the heart muscle that affects both humans and dogs. Certain canine diets have been associated with DCM, but the diet-disease link is unexplained, and novel methods are needed to elucidate mechanisms. We conducted metabolomic profiling of 9 diets associated with canine DCM, containing ≥ 3 pulses, potatoes, or sweet potatoes as main ingredients, and in the top 16 dog diet brands most frequently associated with canine DCM cases reported to the FDA (3P/FDA diets), and 9 non-3P/FDA diets. We identified 88 named biochemical compounds that were higher in 3P/FDA diets and 23 named compounds that were lower in 3P/FDA diets. Amino acids, amino acid-derived compounds, and xenobiotics/plant compounds were the largest categories of biochemicals that were higher in 3P/FDA diets. Random forest analyses identified the top 30 compounds that distinguished the two diet groups with 100% predictive accuracy. Four diet ingredients distinguished the two diet groups (peas, lentils, chicken/turkey, and rice). Of these ingredients, peas showed the greatest association with higher concentrations of compounds in 3P/FDA diets. Moreover, the current foodomics analyses highlight relationships between diet and DCM in dogs that can identify possible etiologies for understanding diet-disease relationships in dogs and humans.

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Diet Quality, Gut Microbiome and Metabolism

Current Developments in Nutrition ◽

10.1093/cdn/nzab054_003 ◽

2021 ◽

Vol 5 (Supplement_2) ◽

pp. 1148-1148

Author(s):

Minoo Bagheri ◽

Jonathan D Mosley ◽

Jane F Ferguson

Keyword(s):

Amino Acids ◽

Fatty Acids ◽

Diet Quality ◽

Gut Microbiome ◽

Unsaturated Fatty Acids ◽

Healthy Eating Index ◽

Polar Lipids ◽

Future Research ◽

Omega 3 ◽

Microbiome Composition

Abstract Objectives Dietary pattern is associated with circulatory and gut metabolome variation. However, it is unclear if this association is mediated by gut microbiome composition. We investigated whether the interaction between diet quality and gut microbiome influenced circulatory and gut metabolites. Methods We conducted a cross-sectional study among 75 healthy adults in the ABO Study. Diet quality was assessed using the Healthy Eating Index (HEI). Metabolome profiling (800 circulatory and 767 gut metabolites) was performed at Metabolon Inc. Two gut microbiome Enterotypes (1 and 2) were identified using the Partitioning Around Medoids method. Metabolite set enrichment analysis was performed using Metaboanalyst 4.0. Multivariable linear regression was conducted to test for an interaction between the gut microbiome-HEI and metabolite levels. Results Diet quality was significantly higher in participants with Enterotype 2, compared to those with Enterotype 1 (P = 0.01). The gut microbiome-HEI interaction (Enterotype 2 and higher HEI) was directly related to omega-3/omega-6 poly-unsaturated fatty acids (PUFAs) and acetyl/acyl derivatives of amino acids. It was inversely linked to polar lipids including 1-palmitoyl-2-linoleoyl-GPC (16:0/18:2), which demonstrated the most significant association (β = 0.008, P = 0.0009) among circulatory metabolites. Considering gut metabolome, however, the interaction directly associated with metabolites involved in DNA synthesis including thymidine 5′-monophosphate, which showed the strongest association (β = 0.041, P = 0.0007), and bile acids derivatives. It inversely associated with fatty acids and branch chain amino acids. ‘Glycine and serine metabolism’ was the only pathway that was significantly enriched by the interaction (P = 0.044). Conclusions Future research is warranted; however, these findings suggest that the efficacy of dietary interventions targeted at altering metabolism (the metabolism of lipids (PUFAs and polar lipids), amino acids and nucleotides) may be dependent on gut microbiome composition. Funding Sources The National Institutes of Health.

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Metabolomic Profiling of Nicotiana Spp. Nectars Indicate That Pollinator Feeding Preference Is a Stronger Determinant Than Plant Phylogenetics in Shaping Nectar Diversity

Metabolites ◽

10.3390/metabo10050214 ◽

2020 ◽

Vol 10 (5) ◽

pp. 214 ◽

Cited By ~ 2

Author(s):

Fredy A. Silva ◽

Elizabeth C. Chatt ◽

Siti-Nabilla Mahalim ◽

Adel Guirgis ◽

Xingche Guo ◽

...

Keyword(s):

Amino Acids ◽

Complex Mixture ◽

Feeding Preference ◽

Floral Nectar ◽

Nicotiana Species ◽

Plant Phylogeny ◽

Metabolomic Profiling ◽

Inorganic Acids ◽

Nectar Composition ◽

Plant Phylogenetics

Floral nectar is a rich secretion produced by the nectary gland and is offered as reward to attract pollinators leading to improved seed set. Nectars are composed of a complex mixture of sugars, amino acids, proteins, vitamins, lipids, organic and inorganic acids. This composition is influenced by several factors, including floral morphology, mechanism of nectar secretion, time of flowering, and visitation by pollinators. The objective of this study was to determine the contributions of flowering time, plant phylogeny, and pollinator selection on nectar composition in Nicotiana. The main classes of nectar metabolites (sugars and amino acids) were quantified using gas chromatography/mass spectrometric analytical platforms to identify differences among fifteen Nicotiana species representing day- and night-flowering plants from ten sections of the genus that are visited by five different primary pollinators. The nectar metabolomes of different Nicotiana species can predict the feeding preferences of the target pollinator(s) of each species, and the nectar sugars (i.e., glucose, fructose, and sucrose) are a distinguishing feature of Nicotiana species phylogeny. Moreover, comparative statistical analysis indicate that pollinators are a stronger determinant of nectar composition than plant phylogeny.

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Differential Metabolomics Profiles Identified by CE-TOFMS between High and Low Intramuscular Fat Amount in Fattening Pigs

Metabolites ◽

10.3390/metabo10080322 ◽

2020 ◽

Vol 10 (8) ◽

pp. 322

Author(s):

Masaaki Taniguchi ◽

Aisaku Arakawa ◽

Motohide Nishio ◽

Toshihiro Okamura ◽

Chika Ohnishi ◽

...

Keyword(s):

Amino Acids ◽

High Performance ◽

Intramuscular Fat ◽

Branched Chain Amino Acids ◽

Liquid Chromatograph ◽

Flight Mass Spectrometry ◽

Metabolomic Profiling ◽

Metabolite Profiles ◽

Branched Chain ◽

Imf Content

The amount of intramuscular fat (IMF) present in the loin eye area is one of the most important characteristics of high-quality pork. IMF measurements are currently impractical without a labor-intensive process. Metabolomic profiling could be used as an IMF indicator to avoid this process; however, no studies have investigated their use during the fattening period of pigs. This study examined the metabolite profiles in the plasma of two groups of pigs derived from the same Duroc genetic line and fed the same diet. Five plasma samples were collected from each individual the day before slaughter. Capillary electrophoresis-time of flight mass spectrometry (CE-TOFMS) was used to analyze the purified plasma from each sample. Principle component analysis (PCA) and partial least squares (PLS) were used to find the semi-quantitative values of the compounds. The results indicate that branched-chain amino acids are significantly associated with high IMF content, while amino acids are associated with low IMF content. These differences were validated using the quantification analyses by high-performance liquid chromatograph, which supported our results. These results suggest that the concentration of branched-chain amino acids in plasma could be an indicative biomarker for the IMF content in the loin eye area.

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Metabolomic Profiling of Amino Acids in Human Plasma Distinguishes Diabetic Kidney Disease From Type 2 Diabetes Mellitus

Frontiers in Medicine ◽

10.3389/fmed.2021.765873 ◽

2021 ◽

Vol 8 ◽

Author(s):

Chunyu Zhou ◽

Qing Zhang ◽

Liqian Lu ◽

Jiao Wang ◽

Dongwei Liu ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Amino Acids ◽

Type 2 Diabetes Mellitus ◽

Plasma Levels ◽

Diabetic Kidney Disease ◽

Roc Curves ◽

Healthy Controls ◽

Metabolomic Profiling

Background: Diabetic kidney disease (DKD) is a highly prevalent complication in patients with type 2 diabetes mellitus (T2DM). Patients with DKD exhibit changes in plasma levels of amino acids (AAs) due to insulin resistance, reduced protein intake, and impaired renal transport of AAs. The role of AAs in distinguishing DKD from T2DM and healthy controls has yet to be elucidated. This study aimed to investigate the metabolomic profiling of AAs in the plasma of patients with DKD.Methods: We established an ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) method to detect the plasma levels of the 20 AAs in healthy controls (n = 112), patients with T2DM (n = 101), and patients with DKD (n = 101). The key AAs associated with DKD were identified by orthogonal partial least-squares discriminant analysis (OPLS-DA) models with loading plots, shared and unique structures (SUS) plots, and variable importance in projection (VIP) values. The discrimination accuracies of these key AAs were then determined by analyses of receiver-operating characteristic (ROC) curves.Results: Metabolomic profiling of plasma revealed significant alterations in levels of the 20 AAs in patients with DKD when compared to those in either patients with T2DM or healthy controls. Metabolomic profiling of the 20 AAs showed a visual separation of patients with DKD from patients with T2DM and healthy controls in OPLS-DA models. Based on loading plots, SUS plots, and VIP values in the OPLS-DA models, we identified valine and cysteine as potential contributors to the progression of DKD from patients with T2DM. Histidine was identified as a key mediator that could distinguish patients with DKD from healthy controls. Plasma levels of histidine and valine were decreased significantly in patients with DKD with a decline in kidney function, and had excellent performance in distinguishing patients with DKD from patients with T2DM and healthy controls according to ROC curves.Conclusion: Plasma levels of histidine and valine were identified as the main AAs that can distinguish patients with DKD. Our findings provide new options for the prevention, treatment, and management of DKD.

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