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1.
Braz. j. oral sci ; 22: e238473, Jan.-Dec. 2023. tab
Artigo em Inglês | LILACS, BBO | ID: biblio-1511329

RESUMO

Aim: The aim of the present preliminary case-control study was to test the sensitivity and specificity of salivary pipecolic acid in predicting head and neck squamous cell carcinoma (HNSCC). Methods: High-performance liquid chromatography was used for the analysis of non-stimulated saliva samples from 40 individuals: 20 in the case group (recently diagnosed with untreated HNSCC) and 20 in the control group (individuals without cancer). Both groups included patients taking daily oral hypoglycemic drugs (comorbidity). The case and control groups were matched at a proportion of 1:1 for sex and comorbidity. Results: Mean salivary levels of pipecolic acid were 169.38 ng/ mL in the case group and 114.66 ng/mL in the control group (p<0.001). Individuals who took oral hypoglycemic drugs had higher levels of pipecolic acid in both the case and control groups (p<0.001). The receiver operating characteristic curve analysis revealed 90% sensitivity and 65% specificity for head and neck cancer, with an area under the curve of 0.838 between the case and control groups. Conclusions: Pipecolic acid had high sensitivity for the diagnosis of HNSCC but low specificity in the sample analyzed. Our findings suggest that salivary pipecolic acid levels are associated with glucose homeostasis. Studies with larger samples are required to evaluate the specificity of this metabolite


Assuntos
Humanos , Masculino , Feminino , Saliva , Biomarcadores , Carcinoma de Células Escamosas de Cabeça e Pescoço
2.
Ciênc. rural ; 45(8): 1522-1527, 08/2015. tab
Artigo em Português | LILACS | ID: lil-753061

RESUMO

Os bifenilos policlorados (PCBs) estão entre os poluentes mais tóxicos presentes no meio ambiente, apresentando os alimentos como principal fonte de exposição humana. Com base nisso, este trabalho teve como objetivo determinar os sete PCBs indicadores de contaminação ambiental em 22 amostras de arroz e 18 de feijão do estado do Rio Grande do Sul, Brasil. Além disso, objetivou-se calcular a ingestão diária estimada de resíduos, a partir da contaminação existente no arroz e feijão, assim como determinar o teor de gordura das amostras para correlacioná-lo com os níveis de PCBs. A extração e purificação dos compostos foram realizadas pelo método QuEChERS, seguido de identificação e quantificação por CG-EM. Os PCBs 153 e 101 apresentaram as maiores concentrações médias nas amostras de arroz e feijão, respectivamente. Considerando o somatório dos PCBs, este foi de 4,39ng g-1 para o arroz e de 4,17ng g-1 para o feijão. Quanto à ingestão diária estimada, esta foi de 7,82ng kg-1 e de 3,14ng kg-1 de peso corporal por dia, para o arroz e o feijão, respectivamente. Em relação ao percentual de gordura, o arroz e o feijão apresentaram teores de gordura de 0,32% e de 1,1%, respectivamente. No entanto, a correlação com os níveis de PCBs não foi significativa. Os resultados demonstram que o estado do RS apresenta fontes importantes de contaminação desses resíduos químicos persistentes.


Polychlorinated biphenyls (PCBs) are among the most toxic pollutants in the environment showing foods as the main source of human exposure. Based on this, this study aimed to determine 7 PCBs indicators of environmental contamination in 22 samples of rice and 18 samples of beans in Rio Grande do Sul state, Brazil. Furthermore, this study aimed to calculate the waste estimated daily intake, starting from the existing contamination in rice and beans, as well as wanted to determine the samples fat content to correlate with levels of PCBs. The extraction and purification of the compounds were performed via QuEChERS method followed by identification and quantification by GC-MS. PCBs 153 and 101 showed the highest mean concentration in the samples of rice and bean, respectively. Considering the sum of PCBs in the samples, this was 4.39ng g-1 for the rice and 4.17ng g-1 for the beans. In estimated daily intake, this was 7.82ng kg-1 and 3.14ng kg-1 of body weight per day, for the rice and beans, respectively. Regarding the percentage of fat the rice and beans samples had fat contents of 0.32% and 1.1%, respectively. However, the correlation with the PCBs levels was not significant. The results demonstrate that the State of RS has important sources of these persistent chemical waste contaminations.

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