Analysis of PAEs in semen of infertile men.

OBJECTIVES: Phthalates are environmental chemicals with reproductive toxicity and estrogenic effects in animals. They are of increasing concern to human health. AIM: To determine whether phthalate levels in semen were associated with infertility. METHODS: Using semen samples from 107 infertile and 94 fertile men, the presence and quantity of five phthalate esters were measured using high-performance liquid chromatography (HPLC). Using data collected from questionnaires and clinical examinations, the correlation between phthalate exposure and semen quality was analyzed. RESULTS: The cumulative levels of the measured phthalate esters were significantly higher in the infertility group compared to the control group (P<0·05). Concentrations of the five phthalate esters in men varied by age with older men showing higher cumulative levels. CONCLUSIONS: The presence of phthalates may contribute to male infertility in our study population.

Serum fatty acid profiles using GC-MS and multivariate statistical analysis: potential biomarkers of Alzheimer's disease.

Previous studies showed the relationship between fatty acids and the risk of developing Alzheimer's disease (AD). However, they did not address potential differences in free fatty acid (FFA) profiles that could be used to distinguish between AD patients and healthy controls. In the present study we used gas chromatography-mass spectrometry (GC-MS) technology coupled with multivariate statistical analysis to study profiles of FFA in AD. The results indicated 2 saturated fatty acids (C14:0 and C16:0; p < 0.001 and p < 0.05, respectively), 3 unsaturated fatty acids (C18:1, C18:3, and C22:6; p < 0.05, p < 0.05, and p < 0.001, respectively), where mean levels in serum from AD patients were significantly lower than controls. Partial least squares discriminant analysis (PLS-DA) models with unit variance (UV) scaling and orthogonal signal correction (OSC) data preprocessing methods were employed to refine intergroup differences between FFA profiles. The results of the analysis have highlighted docosahexaenoic acid (DHA) as the FFA with the greatest potential as a biomarker of AD, and this study has demonstrated that FFA biomarkers have considerable potential in diagnosing and monitoring AD.