RESUMO
Preeclampsia is an important cause of maternal and perinatal mortality worldwide. The etiology of this relatively common medical complication of pregnancy, however, remains unknown. The aim of this study was to compare the copper concentrations in serum and urine samples of preeclamptic and normotensive pregnant women to establish the possible contribution of this parameter to the etiology of this condition. Ninety-five preeclamptic and 92 normotensive pregnant women were enrolled in a cross-sectional study. The Cu content of serum and 24-h urine was compared among the women. The individual samples were analyzed for copper by atomic absorption spectrometry. The obtained data were recorded and analyzed statistically using t test, X2. Comparing the Cu concentrations in serum and urine samples of preeclamptic and normotensive pregnant women, significant differences between the two groups were observed. Obtained results of this study revealed that Cu content of serum and urine is increased in preeclamptic pregnancy.
Assuntos
Cobre/análise , Pré-Eclâmpsia/sangue , Pré-Eclâmpsia/urina , Adulto , Índice de Apgar , Peso ao Nascer , Pressão Sanguínea/fisiologia , Índice de Massa Corporal , Ceruloplasmina/metabolismo , Cobre/sangue , Cobre/urina , Estudos Transversais , Feminino , Humanos , Hipertensão Induzida pela Gravidez/sangue , Hipertensão Induzida pela Gravidez/urina , Recém-Nascido , Monitorização Fisiológica , Gravidez , Resultado da Gravidez , Proteinúria/urina , Fatores Socioeconômicos , Espectrofotometria Atômica , Adulto JovemRESUMO
This study tries to demonstrate that attenuated total reflectance-fourier transform infrared (ATR-FTIR) microspectroscopy in combination with chemometric methods can reliably distinguish malignant colon tissues from healthy ones. It is important to explore a noninvasive and rapid method for detection of colon cancer biopsies. Initially, principal component analysis was applied to examine the degree of separation between tissue samples. Soft independent modeling of class analogy (SIMCA) was also employed to evaluate the prediction accuracy of ATR-FTIR microspectroscopy for the diagnosis of colon cancer. There were significant differences in the fourier transform infrared spectra of normal and cancerous colon biopsies in the 1,800-900 cm(-1) spectral region. The SIMCA results demonstrated that the accuracy, specificity, and sensitivity of the proposed diagnostic method were 93.3, 100, and 88.2%, respectively, which could help satisfy clinical diagnostic requirements.
