scholarly journals Plasma metabolome analysis during human zinc depletion and repletion

2013 ◽  
Vol 27 (S1) ◽  
Author(s):  
Yasmeen Nkrumah‐Elie ◽  
Jay Kirkwood ◽  
Jan Fred Stevens ◽  
Robert L Tanguay ◽  
Carolyn Chung ◽  
...  
Keyword(s):  
Metabolome Analysis ◽  
Plasma Metabolome ◽  
Zinc Depletion

scholarly journals Large-scale plasma-metabolome analysis identifies potential biomarkers of psoriasis and its clinical subtypes

2021 ◽  
Author(s):  
Toshihiro Kishikawa ◽  
Noriko Arase ◽  
Shigeyoshi Tsuji ◽  
Yuichi Maeda ◽  
Takuro Nii ◽  
...  
Keyword(s):  
Large Scale ◽  
Metabolome Analysis ◽  
Plasma Metabolome ◽  
Potential Biomarkers

scholarly journals Plasma Metabolome Profiling Identifies Metabolic Subtypes of Pancreatic Ductal Adenocarcinoma

Cells ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1821
Author(s):  
Ujjwal Mukund Mahajan ◽  
Ahmed Alnatsha ◽  
Qi Li ◽  
Bettina Oehrle ◽  
Frank-Ulrich Weiss ◽  
...  
Keyword(s):  
Pancreatic Ductal Adenocarcinoma ◽  
Enrichment Analysis ◽  
Response Prediction ◽  
Ductal Adenocarcinoma ◽  
Pathway Enrichment Analysis ◽  
Metabolome Analysis ◽  
Dismal Prognosis ◽  
Chemotherapeutic Response ◽  
Plasma Metabolome ◽  
Metabolome Profiling

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers. Developing biomarkers for early detection and chemotherapeutic response prediction is crucial to improve the dismal prognosis of PDAC patients. However, molecular cancer signatures based on transcriptome analysis do not reflect intratumoral heterogeneity. To explore a more accurate stratification of PDAC phenotypes in an easily accessible matrix, plasma metabolome analysis using MxP® Global Profiling and MxP® Lipidomics was performed in 361 PDAC patients. We identified three metabolic PDAC subtypes associated with distinct complex lipid patterns. Subtype 1 was associated with reduced ceramide levels and a strong enrichment of triacylglycerols. Subtype 2 demonstrated increased abundance of ceramides, sphingomyelin and other complex sphingolipids, whereas subtype 3 showed decreased levels of sphingolipid metabolites in plasma. Pathway enrichment analysis revealed that sphingolipid-related pathways differ most among subtypes. Weighted correlation network analysis (WGCNA) implied PDAC subtypes differed in their metabolic programs. Interestingly, a reduced expression among related pathway genes in tumor tissue was associated with the lowest survival rate. However, our metabolic PDAC subtypes did not show any correlation to the described molecular PDAC subtypes. Our findings pave the way for further studies investigating sphingolipids metabolisms in PDAC.

scholarly journals Potential Biomarkers of Fatigue Identified by Plasma Metabolome Analysis in Rats

PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0120106 ◽  
Author(s):  
Satoshi Kume ◽  
Masanori Yamato ◽  
Yasuhisa Tamura ◽  
Guanghua Jin ◽  
Masayuki Nakano ◽  
...  
Keyword(s):  
Metabolome Analysis ◽  
Plasma Metabolome ◽  
Potential Biomarkers

scholarly journals Wide-Targeted Metabolome Analysis Identifies Potential Biomarkers for Prognosis Prediction of Epithelial Ovarian Cancer

Toxins ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 461
Author(s):  
Eiji Hishinuma ◽  
Muneaki Shimada ◽  
Naomi Matsukawa ◽  
Daisuke Saigusa ◽  
Bin Li ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
High Performance ◽  
Gynecologic Cancer ◽  
Delayed Diagnosis ◽  
Metabolome Analysis ◽  
Biomarker Identification ◽  
Prognosis Prediction ◽  
Plasma Metabolome ◽  
Response To Chemotherapy

Epithelial ovarian cancer (EOC) is a fatal gynecologic cancer, and its poor prognosis is mainly due to delayed diagnosis. Therefore, biomarker identification and prognosis prediction are crucial in EOC. Altered cell metabolism is a characteristic feature of cancers, and metabolomics reflects an individual’s current phenotype. In particular, plasma metabolome analyses can be useful for biomarker identification. In this study, we analyzed 624 metabolites, including uremic toxins (UTx) in plasma derived from 80 patients with EOC using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). Compared with the healthy control, we detected 77 significantly increased metabolites and 114 significantly decreased metabolites in EOC patients. Especially, decreased concentrations of lysophosphatidylcholines and phosphatidylcholines and increased concentrations of triglycerides were observed, indicating a metabolic profile characteristic of EOC patients. After calculating the parameters of each metabolic index, we found that higher ratios of kynurenine to tryptophan correlates with worse prognosis in EOC patients. Kynurenine, one of the UTx, can affect the prognosis of EOC. Our results demonstrated that plasma metabolome analysis is useful not only for the diagnosis of EOC, but also for predicting prognosis with the variation of UTx and evaluating response to chemotherapy.

scholarly journals Integrated microbiome–metabolome analysis reveals novel associations between fecal microbiota and hyperglycemia-related changes of plasma metabolome in gestational diabetes mellitus

RSC Advances ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 2027-2036
Author(s):  
Lina Dong ◽  
Lingna Han ◽  
Tao Duan ◽  
Shumei Lin ◽  
Jianguo Li ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gut Microbiota ◽  
Gestational Diabetes Mellitus ◽  
Metabolic Disorders ◽  
Fecal Microbiota ◽  
Metabolome Analysis ◽  
Plasma Metabolome ◽  
Novel Associations

Gestational diabetes mellitus (GDM) has been associated with circulating metabolic disorders and alterations in gut microbiota, respectively.

scholarly journals Plasma metabolome analysis of patients with major depressive disorder

2018 ◽  
Vol 72 (5) ◽  
pp. 349-361 ◽  
Author(s):  
Noriyuki Kawamura ◽  
Kosaku Shinoda ◽  
Hajime Sato ◽  
Kazunori Sasaki ◽  
Makoto Suzuki ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Metabolome Analysis ◽  
Major Depressive ◽  
Plasma Metabolome

scholarly journals Potential osteomyelitis biomarkers identified by plasma metabolome analysis in mice

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Norihiro Isogai ◽  
Yuta Shiono ◽  
Tetsuya Kuramoto ◽  
Kenji Yoshioka ◽  
Hiroko Ishihama ◽  
...  
Keyword(s):  
Metabolome Analysis ◽  
Plasma Metabolome

scholarly journals Very Low Crude Protein and Varying Glycine Concentrations in the Diet Affect Growth Performance, Characteristics of Nitrogen Excretion, and the Blood Metabolome of Broiler Chickens

2019 ◽  
Vol 149 (7) ◽  
pp. 1122-1132 ◽  
Author(s):  
Philipp Hofmann ◽  
Wolfgang Siegert ◽  
Ákos Kenéz ◽  
Victor D Naranjo ◽  
Markus Rodehutscord
Keyword(s):  
Broiler Chickens ◽  
Crude Protein ◽  
Physiological State ◽  
Average Daily Gain ◽  
Nitrogen Efficiency ◽  
Nitrogen Excretion ◽  
Plasma Metabolites ◽  
Metabolome Analysis ◽  
Multivariate Statistical ◽  
Plasma Metabolome

ABSTRACT Background The minimum to which dietary crude protein (CP) level for broiler chickens can be reduced without decreasing growth and the glycine equivalent (Glyequi) concentration required are not known. The plasma metabolome might reflect dietary influences on physiological processes. Objective The aim of this study was to investigate the effect of 3 low CP levels with 4 Glyequi concentrations on growth and characteristics of nitrogen excretion, and to identify plasma metabolome variations. Methods Male Ross308 broiler chickens were provided 1 of 12 dietary treatments in 84 metabolism cages (10/cage) from days 7 to 21. Three diets with 163 (CP163), 147 (CP147), and 132 (CP132) g CP/kg were formulated, each containing 12, 15, 18, and 21 g Glyequi/kg. Essential amino acid concentrations were the same in all diets. Animals and feed were weighed on days 7 and 21 to determine average daily gain (ADG) and gain:feed ratio (G:F). Excreta were collected from days 18 to 21 to analyze nitrogenous components, and blood was obtained on day 21 to conduct a metabolome analysis. Results Two-factor ANOVA showed significant interaction effects for ADG, G:F, and nitrogen efficiency (P < 0.001). Reduction of CP decreased ADG and G:F, and increased nitrogen efficiency. Glyequi supplementation increased ADG (by 7.9 g/d) and G:F (by 0.07 g/g) at CP132. The ADG (by 2.4 g/d) at CP147 and G:F (by 0.02 g/g) at CP147 and CP163 increased up to 15 g Glyequi/kg. Multivariate statistical analysis showed an influence of Glyequi on plasma acylcarnitine and lysophosphatidylcholine concentrations, and a decrease of plasma phosphatidylcholine and sphingomyelin concentrations with reduced CP. Conclusions These results suggest that a nutrient other than Glyequi limited growth when CP was reduced from CP163 to CP147, and that the response of broiler chickens to Glyequi is dependent on the dietary CP level. Plasma metabolites indicate dietary influences on the physiological state of the animals.

scholarly journals Plasma metabolome analysis identifies distinct human metabotypes in the postprandial state with different susceptibility to weight loss‐mediated metabolic improvements

2018 ◽  
Vol 32 (10) ◽  
pp. 5447-5458 ◽  
Author(s):  
Jarlei Fiamoncini ◽  
Milena Rundle ◽  
Helena Gibbons ◽  
E. Louise Thomas ◽  
Kerstin Geillinger‐Kästle ◽  
...  
Keyword(s):  
Weight Loss ◽  
Metabolome Analysis ◽  
Postprandial State ◽  
Plasma Metabolome
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