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1.
PLoS One ; 9(11): e113573, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-25419661

RESUMO

Radiation exposure is a threat to public health because it causes many diseases, such as cancers and birth defects, due to genetic modification of cells. Compared with the past, a greater number of people are more frequently exposed to higher levels of radioactivity today, not least due to the increased use of diagnostic and therapeutic radiation-emitting devices. In this study, ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS)-based metabolic profiling was used to investigate radiation- induced metabolic changes in human fibroblasts. After exposure to 1 and 5 Gy of γ-radiation, the irradiated fibroblasts were harvested at 24, 48, and 72 h and subjected to global metabolite profiling analysis. Mass spectral peaks of cell extracts were analyzed by pattern recognition using principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). The results showed that the cells irradiated with 1 Gy returned to control levels at 72 h post radiation, whereas cells irradiated with 5 Gy were quite unlike the controls; therefore, cells irradiated with 1 Gy had recovered, whereas those irradiated with 5 Gy had not. Lipid and amino acid levels increased after the higher-level radiation, indicating degradation of membranes and proteins. These results suggest that MS-based metabolite profiling of γ-radiation-exposed human cells provides insight into the global metabolic alterations in these cells.


Assuntos
Fibroblastos/efeitos da radiação , Raios gama , Metaboloma/efeitos da radiação , Metabolômica , Proliferação de Células/efeitos da radiação , Sobrevivência Celular/efeitos da radiação , Células Cultivadas , Cromatografia Líquida de Alta Pressão , Derme/citologia , Análise Discriminante , Relação Dose-Resposta à Radiação , Fibroblastos/metabolismo , Humanos , Análise dos Mínimos Quadrados , Espectrometria de Massas/métodos , Análise Multivariada , Análise de Componente Principal , Fatores de Tempo
2.
Environ Sci Pollut Res Int ; 21(17): 10453-60, 2014 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-24819439

RESUMO

Leachate, generated by the decomposition of animal carcasses, presents many environmental, sanitary, and food safety hazards. However, research on the characteristics of leachate is lacking. In this study, we performed biochemical profiling of leachate from two animal species (pig and cattle) in two soil types (sandy loam and sandy soil) using (1)H-NMR-based profiling, followed by multivariate data analysis. The leachate was collected from a well-controlled artificial burial site over a 31-week period. Principal components analysis (PCA) of the NMR data showed similar patterns between species and soil types. Organic components, including organic acids and phenols, predominated, and their levels increased with time. The methylamine level in leachate from pig carcasses 18 weeks following burial was significantly higher than that from cattle carcasses; leachate from cattle carcasses in sandy soil 1 week after burial contained unique components (specifically ethanol, formate, alanine, N-methylation, and taurine), in contrast with those from sandy loam soil. This study suggests that a NMR-based profiling approach is useful to characterize the organic components in leachate from animal carcasses over time.


Assuntos
Morte , Solo/química , Poluentes Químicos da Água/análise , Animais , Bovinos , Metilaminas/análise , Análise Multivariada , Fenóis/análise , Análise de Componente Principal , Espectroscopia de Prótons por Ressonância Magnética , Especificidade da Espécie , Suínos
3.
PLoS One ; 8(10): e75998, 2013.
Artigo em Inglês | MEDLINE | ID: mdl-24098417

RESUMO

Despite the numerous metabolic studies on obesity, gender bias in obesity has rarely been investigated. Here, we report the metabolomic analysis of obesity by using leptin-deficient ob/ob mice based on the gender. Metabolomic analyses of urine and serum from ob/ob mice compared with those from C57BL/6J lean mice, based on the (1)H NMR spectroscopy in combination with multivariate statistical analysis, revealed clear metabolic differences between obese and lean mice. We also identified 48 urine and 22 serum metabolites that were statistically significantly altered in obese mice compared to lean controls. These metabolites are involved in amino acid metabolism (leucine, alanine, ariginine, lysine, and methionine), tricarbocylic acid cycle and glucose metabolism (pyruvate, citrate, glycolate, acetoacetate, and acetone), lipid metabolism (cholesterol and carnitine), creatine metabolism (creatine and creatinine), and gut-microbiome-derived metabolism (choline, TMAO, hippurate, p-cresol, isobutyrate, 2-hydroxyisobutyrate, methylamine, and trigonelline). Notably, our metabolomic studies showed distinct gender variations. The obese male mice metabolism was specifically associated with insulin signaling, whereas the obese female mice metabolism was associated with lipid metabolism. Taken together, our study identifies the biomarker signature for obesity in ob/ob mice and provides biochemical insights into the metabolic alteration in obesity based on gender.


Assuntos
Leptina/deficiência , Metabolômica , Obesidade/metabolismo , Obesidade/urina , Caracteres Sexuais , Animais , Biomarcadores/sangue , Biomarcadores/metabolismo , Biomarcadores/urina , Feminino , Espectroscopia de Ressonância Magnética , Masculino , Camundongos , Camundongos Obesos , Análise Multivariada , Obesidade/sangue
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