Reversed association between levels of prostate specific antigen and levels of blood cadmium and urinary cadmium

Prostate cancer associated with cadmium exposure may indicate a link between prostate specific antigen (PSA) and levels of blood cadmium (BCd) and urinary cadmium (UCd). Thus, these associations were investigated. We recruited 295 men, 50 years of age and above from a health check-up program at a health center as subjects of the study. They completed a self-reported questionnaire and provided fasting samples of blood and urine for cadmium assay. The assay was performed using atomic absorption spectrophotometry. Blood samples were also collected for the assays of total cholesterol and high-density lipoprotein measures. The means of BCd and UCd increased with age and the means of all subjects were 1.19 ± 1.04 μg L⁻¹ and 1.37 ± 1.76 μg g⁻¹ creatinine, respectively. The PSA levels were positively associated with the lipid levels, but reversely associated with BCd and UCd levels. The multivariate logistic regression analysis showed that men with PSA ? 4.0 ng mL⁻¹ had an odds ratio (OR) of 0.4 (95% CI = 0.1-0.9) to have BCd > 0.49 μg L⁻¹, and an OR of 0.4 (95% CI = 0.2-1.0) to have UCd > 0.45 μg g⁻¹ creatinine. In conclusion, the PSA levels are reversely associated with BCd and UCd levels.     

燃煤型砷中毒病区尿砷甲基化代谢和砷致皮肤损伤危险度的关系初探

砷中毒具有特异的皮肤损伤特征。为了研究燃煤型砷中毒病区高砷暴露、人体甲基化代谢能力与皮肤损伤患病风险之间的关系,在陕南典型燃煤型砷中毒村进行了皮肤损伤诊断和流行病学调查,采集尿样并分析总砷及形态砷含量,同时计算了用于表征人体砷甲基化代谢能力的指标包括尿中无机砷、一甲基砷和二甲基砷占总砷的百分含量(i As%、MMA%、DMA%),以及一甲基化率(PMI=MMA/i As)和二甲基化率(SMI=DMA/MMA)。Logistic回归分析结果表明:尿总砷含量(UTAs)是砷致皮肤损伤的危险因素(OR=1.038,95%CI:1.003~1.073),二甲基砷百分含量和SMI是皮肤损伤的保护因素(OR=0.883,95%CI:0.798~0.976;OR=0.724,95%CI:0.535~0.978);且砷致皮肤损伤的危险度随砷暴露水平的增高和甲基化能力的降低而增大。     

中国居民碘营养健康风险评估

我国碘元素的天然分布极不均匀,因此对地域差异缺乏考虑的全民食盐加碘政策(USI)并非碘缺乏病的最适宜的防控策略,甚至还增加了"碘过量"导致的潜在健康风险。近年来,中国卫生部多次调整食盐加碘政策,但亟需从健康风险评估的角度对该政策进行科学的论证和解读。通过解析全国碘缺乏病监测数据中8～10岁儿童尿碘浓度的数据,采用有阈值的剂量效应曲线,评价了中国居民碘营养健康状况,并计算出全国31个省级地区8～10岁儿童因碘过量导致的"亚临床甲状腺功能减低(亚甲减)"的发病率,最后利用5%基准剂量(benchmark dose,BMD),并结合我国居民膳食营养结构的调查结果,提出了考虑地域差异的分层次的食盐加碘量推荐值上限。研究表明,我国居民尿碘浓度分布有明显的区域性特征,尿碘浓度几何平均值和几何标准差分别为168.17和2.24μg·L-1,由于碘摄入过量导致的亚甲减发生率为4.00%。低水碘地区(水碘浓度低于150μg·L-1)的食盐加碘量推荐值上限为29.62mg·kg-1;中、高水碘地区(水碘浓度高于150μg·L-1)的居民通过非碘盐途径摄入的碘量已高于日可耐受最大摄入量,不宜再食用加碘食盐。这些结果基本支持了我国调整后的现行食盐加碘政策,即各地区根据当地人群实际碘营养水平,选定适合本地的食用盐加碘量。     

家长吸烟对儿童尿中1-羟基芘的影响

为了解家长吸烟对小学生尿中１－羟基芘的影响,对４个地区小学生２３４份尿样中的１－羟基芘及其学校所在地空气中的苯并芘进行了同步采样分析,结果显示,学生尿中的１－羟基芘浓度与所在学校空气中苯并（ａ）芘的浓度有显著的正相关关系。家长吸烟组学生尿中１－羟基芘浓度均高于家长不吸烟组,但ｔ检验结果差别不显著,根据测定结果的分析,讨论了这种差别的意义。     

Animal models of fetal renal disease

Fetal models of urinary tract disease have been used for many years and have provided unique and important insights into the pathophysiology of these conditions. This review will summarize the principal model systems used and the current directions of investigation. These models (including rabbit, opossum, sheep and recently swine) have demonstrated that in utero obstruction of the urinary tract alters renal growth, differentiation and produces stereotypical patterns of tissue response, particularly fibrosis. New molecular understanding of these processes has identified specific mechanisms that may be key elements in the development of renal dysfunction due to obstruction. These factors include the renin–angiotensin system (RAS) and its interaction with TGF-β in altering growth regulation and tissue fibrosis. These factors offer the prospect of clinical utility as markers of disease progression as well as pharmacologic therapy. Gene knockout systems have opened a new horizon of molecular models of congenital obstructive uropathy with insights into the role of the RAS in particular. It remains to be defined how closely these knockouts represent the human conditions they resemble. Continued application of fetal models of urinary obstruction, integrating large animal and knockout systems offers promise for improved diagnosis and treatment in these challenging conditions. Copyright © 2001 John Wiley & Sons, Ltd.     

Urinary arsenic methylation profile in children exposed to low arsenic levels through drinking water

There is a lack of information on arsenic metabolism in children exposed chronically to low levels of arsenic (<50 µg L^?1). The objective of this study was to determine the methylation profile of urinary arsenic metabolites in children exposed to low-level concentrations of arsenic via their drinking water. A cross-sectional study was undertaken in 50 children from four towns in the Yaqui Valley, Sonora, with total arsenic values of 39.9, 16.8, 7.3, and 5.5 µg L^?1 in their drinking water, respectively. First morning void samples were analyzed for inorganic-As (InAs), mono and dimethyl arsenic (MMA and DMA). The total arsenic excreted in urine ranged from 23.1 to 99.1 µg L^?1 and these levels did not vary by sex. Children with the highest level of total arsenic in their drinking water excreted the highest amount in urine and the length of residence and age also had significant contribution. Children with a lower range of arsenic exposure (16.8–5.5 µg L^?1) had similar amounts of arsenic in urine with values of 23.1, 28.2, and 32.6 µg L^?1, respectively. DMA had the highest proportion in urine (52.1–74.7%), followed by InAs (16.3–34.9%) and MMA (4.4–8.4%). Compared to other reports, these children excreted a low %MMA (6.1%), and children from the towns with the lowest levels of arsenic had the highest %InAs and the lowest %DMA. This variability in arsenic methylation was partially explained by arsenic concentration in drinking water, years of residence and age, and may reflect genetic differences or more contribution from different exposure routes. In conclusion, our results show that at low levels of exposure the children's ability to metabolize InAs did not have a linear association with the levels of arsenic, and overall children from the Yaqui Valley excrete a lower %MMA than expected.     

Single-stage versus two-stage models to estimate creatinine corrected urinary analyte concentrations

The ability to detect 'known' differences in urinary analyte concentrations due to gender, age, and race/ethnicity when adjusted for similar differences in urinary creatinine concentrations were evaluated by a single-stage and a two-stage model by ten simulation studies. Log10 transformed values of observed urinary analyte concentration were used as the dependent variable and age, gender, and race/ethnicity were used as the categorical independent variables. In addition, while single-stage model used log10 transformed values of urinary creatinine as a covariate, two-stage model used a correction factor (CF) determined during the first stage of the model by fitting a secondary model for urinary creatinine. Single-stage model was almost always able to statistically significantly detect 'known' differences due to age, gender, and race/ethnicity. On the other hand, two-stage model was able to statistically significantly detect 'known' differences due to age, gender, and race/ethnicity a maximum of 87.2% of the times and as low as 10.6% of the times primarily because of the presence of multicollinearity between CF and urinary creatinine concentrations. Consequently, as long as the sole objective is to estimate the urinary analyte concentrations adjusted for the effect of all factors including urinary creatinine, single-stage models are the models of choice.