1H NMR metabolomics study of metastatic melanoma in C57BL/6J mouse spleen

Wang, Xuan; Hu, Mary Y.; Feng, Ju; Liu, Maili; Hu, Jian Zhi

doi:10.1007/s11306-014-0652-z

Cited by 17 publications

(17 citation statements)

References 71 publications

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“…Stimulated by the tentative findings from Model C, where phosphocholine maybe of importance in the lungs for evaluating the risk of obesity in cigarette smoke exposed group and the fact that the glycerophosphocholine/phosphocholine ratio, i.e. GPC/PC ratio, has been proposed as a bio-indicator of several types of cancer [ 36 - 38 ], we evaluated the levels of GPC/PC ratios in four different groups to investigate influence of obesity and cigarette smoke exposure on the GPC/PC ratio using two way ANOVA [ 39 ]. GPC/PC ratios and the two way ANOVA design table were shown in Table S1 in Supporting Information .…”

Section: Resultsmentioning

confidence: 99%

“…Higher levels of GPC/PC ratio may suggest the possibility of an alteration in glycerophosphodiesterase, such as Endometrial Differential 3 (EDI-3), which regulates the choline metabolism [ 36 ]. It has become increasingly clear that high GPC concentration is associated with poor prognosis in breast cancer and elevated GPC/PC level is an established indicator of triple-negative breast cancers [ 53 ], while a decreased GPC/PC ratio has been reported in ovarian and prostate cancers compared with normal tissue [ 37 ].…”

Section: Discussionmentioning

confidence: 99%

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Metabolite Signatures in Hydrophilic Extracts of Mouse Lungs Exposed to Cigarette Smoke Revealed by 1H NMR Metabolomics Investigation

Wang

Feng

et al. 2015

Metabolomics

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1H-NMR metabolomics was used to investigate the changes of metabolites in the lungs of mice with and without being exposed to a controlled amount of cigarette smoke. It was found that the concentrations of adenosine derivatives (i.e. ATP, ADP and AMP), inosine and uridine were significantly changed in the lungs of mice exposed to cigarette smoke when compared with controls regardless the mice were obese or of regular weight. The decreased ATP, ADP, AMP and elevated inosine suggested that the deaminases in charge of adenosine derivatives to inosine derivatives conversion would be significantly changed in the lungs of mice exposed to cigarette smoke. Indeed, transcriptional study confirmed that the concentrations of adenosine monophosphate deaminase 2 and adenosine deaminase 2 were significantly changed in the lungs of mice exposed to cigarette smoke. We also found that the ratio of glycerophosphocholine (GPC) to phosphocholine (PC) was significantly increased in the lungs of obese mice compared with those of the regular weight mice. The GPC/PC ratio was further elevated in the lungs of obese group exposed to cigarette smoke.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Metabolite Signatures in Hydrophilic Extracts of Mouse Lungs Exposed to Cigarette Smoke Revealed by 1H NMR Metabolomics Investigation

Wang

Feng

et al. 2015

Metabolomics

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“…S1; http://dx.doi.org/10.1667/RR14602.1.S1) based on spectral deconvolution using Chenomx and previously cited literature (28, 36), as well as validated by 2D 1 H– 1 H correlation spectroscopy (COSY) and 1H J-resolved spectroscopy (JRES). Procedures for spectral deconvolution and the quality of fitting are shown in Supplementary Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Although spectral binning is very efficient for large-scale object matrix and can be easily automated (27), it is difficult to generate high-quality multivariate data due to the influences of residual water peak, rolling baseline and peak shift. Another disadvantage of spectral binning data is that a significant number of variables cannot be assigned to specific metabolites due to overlapping spectral peaks (28). In contrast, the technique of spectral deconvolution is capable of identifying and assigning the chemical identities of all metabolites with concentrations higher than the detection limits, including cases of severely overlapping peaks (29).…”

Section: Methodsmentioning

confidence: 99%

NMR-based Metabolomics Analysis of Liver from C57BL/6 Mouse Exposed to Ionizing Radiation

Xiao

Zhang

et al. 2017

Radiation Research

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The effects of ionizing radiation to human health are of great concern in the field of space exploration and for patients considering radiotherapy. However, to date, the effect of high-dose radiation on metabolism in the liver has not been clearly defined. In this study, 1H nuclear magnetic resonance (NMR)-based metabolomics combined with multivariate data analysis was applied to study the changes of metabolism in the liver of C57BL/6 mouse after whole-body gamma (3.0 and 7.8 Gy) or proton (3.0 Gy) irradiation. Principal component analysis (PCA) and orthogonal projection to latent structures analysis (OPLS) were used for classification and identification of potential biomarkers associated with exposure to gamma and proton radiation. The results show that the radiation exposed groups can be well separated from the control group. Where the same dose was received, the proton exposed group was nevertheless well separated from the gamma-exposed group, indicating that different radiation sources induce different alterations in the metabolic profile. Common among all high-dose gamma and proton exposed groups were the statistically decreased concentrations of choline, O-phosphocholine and trimethylamine N-oxide, while the concentrations of glutamine, glutathione, malate, creatinine, phosphate, betaine and 4-hydroxyphenylacetate were statistically and significantly elevated. Since these altered metabolites are associated with multiple biological pathways, the results suggest that radiation induces abnormality in multiple biological pathways. In particular, metabolites such as 4-hydroxyphenylacetate, betaine, glutamine, choline and trimethylamine N-oxide may be prediagnostic biomarkers candidates for ionizing exposure of the liver.

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“…Two strategies were used to reduce the original spectral data points, i.e., spectral binning and spectral deconvolution. For each approach, two different normalization methods were employed prior to multivariate statistical analysis, i.e., normalization to constant sum [ 24 ] and normalization to unit weight of each tissue that was used for extraction [ 25 ].…”

Section: Methodsmentioning

confidence: 99%

1H NMR Metabolomics Study of Spleen from C57BL/6 Mice Exposed to Gamma Radiation

Xiao¹,

Hu²,

Liu³

et al. 2016

Metabolomics

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Due to the potential risk of accidental exposure to gamma radiation, it’s critical to identify the biomarkers of radiation exposed creatures. In the present study, NMR based metabolomics combined with multivariate data analysis to evaluate the metabolites changed in the C57BL/6 mouse spleen after 4 days whole body exposure to 3.0 Gy and 7.8 Gy gamma radiations. Principal component analysis (PCA) and orthogonal projection to latent structures analysis (OPLS) are employed for classification and identification potential biomarkers associated with gamma irradiation. Two different strategies for NMR spectral data reduction (i.e., spectral binning and spectral deconvolution) are combined with normalize to constant sum and unit weight before multivariate data analysis, respectively. The combination of spectral deconvolution and normalization to unit weight is the best way for identifying discriminatory metabolites between the irradiation and control groups. Normalized to the constant sum may achieve some pseudo biomarkers. PCA and OPLS results shown that the exposed groups can be well separated from the control group. Leucine, 2-aminobutyrate, valine, lactate, arginine, glutathione, 2-oxoglutarate, creatine, tyrosine, phenylalanine, π-methylhistidine, taurine, myoinositol, glycerol and uracil are significantly elevated while ADP is decreased significantly. These significantly changed metabolites are associated with multiple metabolic pathways and may be potential biomarkers in the spleen exposed to gamma irradiation.

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1H NMR metabolomics study of metastatic melanoma in C57BL/6J mouse spleen

Cited by 17 publications

References 71 publications

Metabolite Signatures in Hydrophilic Extracts of Mouse Lungs Exposed to Cigarette Smoke Revealed by 1H NMR Metabolomics Investigation

Metabolite Signatures in Hydrophilic Extracts of Mouse Lungs Exposed to Cigarette Smoke Revealed by 1H NMR Metabolomics Investigation

NMR-based Metabolomics Analysis of Liver from C57BL/6 Mouse Exposed to Ionizing Radiation

1H NMR Metabolomics Study of Spleen from C57BL/6 Mice Exposed to Gamma Radiation

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