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

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 Rikkunshito Ameliorates Cancer Cachexia Partly through Elevation of Glucarate in Plasma

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Katsuya Ohbuchi ◽  
Shin Nishiumi ◽  
Naoki Fujitsuka ◽  
Tomohisa Hattori ◽  
Masahiro Yamamoto ◽  
...  
Keyword(s):  
Weight Loss ◽  
Herbal Medicine ◽  
Rat Model ◽  
Cancer Cachexia ◽  
Host Cells ◽  
Metabolome Analysis ◽  
Traditional Herbal Medicine ◽  
Delayed Onset ◽  
Tumor Bearing

Cancer cachexia, which is characterized by decreased food intake, weight loss and systemic inflammation, increases patient’s morbidity and mortality. We previously showed that rikkunshito (RKT), a Japanese traditional herbal medicine (Kampo), ameliorated the symptoms of cancer cachexia through ghrelin signaling-dependent and independent pathways. To investigate other mechanisms of RKT action in cancer cachexia, we performed metabolome analysis of plasma in a rat model bearing the Yoshida AH-130 hepatoma. A total of 110 metabolites were detected in plasma and RKT treatment significantly altered levels of 23 of those metabolites in cachexia model rats. Among them, glucarate, which is known to have anticarcinogenic activity through detoxification of carcinogens via inhibition ofβ-glucuronidase, was increased in plasma following administration of RKT. In our AH-130 ascites-induced cachexia rat model, administration of glucarate delayed onset of weight loss, improved muscle atrophy, and reduced ascites content. Additionally, glucarate reduced levels of plasma interferon-γ(IFN-γ) in tumor-bearing rats and was also found to suppress LPS-induced IFN-γexpression in splenocytesin vitro. These results suggest that glucarate has anti-inflammatory activity via a direct effect on immune host cells and suggest that RKT may also ameliorate inflammation partly through the elevation of glucarate in plasma.

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 Impact in Plasma Metabolome as Effect of Lifestyle Intervention for Weight-Loss Reveals Metabolic Benefits in Metabolically Healthy Obese Women

2018 ◽  
Vol 17 (8) ◽  
pp. 2600-2610 ◽  
Author(s):  
Enrique Almanza-Aguilera ◽  
Carl Brunius ◽  
M. Rosa Bernal-Lopez ◽  
Mar Garcia-Aloy ◽  
Francisco Madrid-Gambin ◽  
...  
Keyword(s):  
Weight Loss ◽  
Lifestyle Intervention ◽  
Obese Women ◽  
Metabolically Healthy Obese ◽  
Plasma Metabolome ◽  
Healthy Obese ◽  
Metabolically Healthy

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 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
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