essential trace element

  • 文章类型: Journal Article
    这项深入研究分析了非传统小麦籽粒中43种矿物质和微量元素的含量,薄片,使用ICP-MS和未消化的薄片部分,并在薄片生产后确定其各自含量的下降。它还确定了适当的饮食摄入量,体外消化率值,保留因子,和金属污染指数。经过水热处理后,小麦薄片中的元素含量低于小麦籽粒中的元素含量,他们的跌幅是:Na(48-72%),Ce(47-72%),高级(43-55%),Tl(33-43%),钛(32-41%),U(31-44%),Ho(29-69%),Cr(26-64%),Zr(26-58%),Ag(25-52%),和Ca(25-46%)。对于所有类别的男性,这些薄片显着促进了推荐的饮食摄入量或特定元素的充足摄入量,如下所示:Mn(143%)>Mo>Cu>Mg≥Cr>Fe(16%);对于女性:Mn(高达183%)>Mo>Cu>Cr≥Mg>Fe(7-16%);对于19-30岁的孕妇:Mn(165%)>Mo>Cu>Mg>Cr(25%);哺乳期妇女:Mn(127%)>Mo>Cu>Mg>Cr(17%)。对所有有毒元素的每周或每月临时可容忍摄入量的贡献被确定为在官方限制范围内。还计算了非必要元素的每日摄入量。使用消化率值(87.4-90.5%)计算保留因子以评估未消化部分中的元素浓度。V获得了最高的保留因子(63-92%),Y(57-96%),Ce(43-76%),铅(34-58%),Tl(32-70%),Ta(31-66%),和Ge(30-49%)。K,Mg,P,Zn,Ba,Bi,Ga,Sb,Cu,Ni,和As似乎在消化过程中容易从薄片基质中释放。与谷物相比,非传统小麦薄片的金属污染指数已被证实较低。重要的是,在体外消化后,对天然薄片评估的金属污染指数的15-25%保留在未消化的薄片部分中。
    This thorough study analyses the amounts of 43 minerals and trace elements in non-traditional wheat grains, flakes, and undigested flake portions using ICP-MS and establishes declines in their respective contents after the flake production. It also identifies appropriate dietary intakes, in vitro digestibility values, retention factors, and metal pollution indexes. The element contents in wheat flakes are lower than in wheat grains after the hydrothermal treatment process, and their declines are: Na (48-72%), Ce (47-72%), Sr (43-55%), Tl (33-43%), Ti (32-41%), U (31-44%), Ho (29-69%), Cr (26-64%), Zr (26-58%), Ag (25-52%), and Ca (25-46%). The flakes significantly contributed to the recommended dietary intake or adequate intake of particular elements for men of all categories as follows: Mn (143%) > Mo > Cu > Mg ≥ Cr > Fe (16%); for women: Mn (up to 183%) > Mo > Cu > Cr ≥ Mg > Fe (7-16%); for pregnant women aged 19-30: Mn (165%) > Mo > Cu > Mg > Cr (25%); and finally, for lactating women: Mn (127%) > Mo > Cu > Mg > Cr (17%). The contributions to the provisional tolerable weekly or monthly intakes of all toxic elements were established as being within the official limits. The daily intakes for non-essential elements were also calculated. The retention factors were calculated to assess the element concentrations in the undigested part using the digestibility values (87.4-90.5%). The highest retention factors were obtained for V (63-92%), Y (57-96%), Ce (43-76%), Pb (34-58%), Tl (32-70%), Ta (31-66%), and Ge (30-49%). K, Mg, P, Zn, Ba, Bi, Ga, Sb, Cu, Ni, and As appear to be released easily from flake matrices during digestion. The metal pollution index has been confirmed as being lower for non-traditional wheat flakes when compared with grains. Importantly, 15-25% of the metal pollution index assessed for native flakes remains in the undigested flake portion after in vitro digestion.
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  • 文章类型: Journal Article
    探讨胚胎移植后第14天接受辅助生殖技术(ART)的不孕妇女血清相关指标(炎性细胞因子和必需微量元素水平)与流产风险的关系。开发并建立多变量预测妊娠结局的算法模型。根据嵌套的病例对照研究设计,这项研究共包括100例流产病例和100例活产对照组,两组妇女均不育,并接受了体外受精(IVF)。进行妊娠试验,血清中五种必需微量元素(钒(V),铜(Cu),锌(Zn),硒(Se)和钼(Mo)和五种炎症细胞因子(白细胞介素-1β(IL-1β),在胚胎移植后第14天测量参与者的IL-6,IL-8,IL-10和肿瘤坏死因子-α(TNF-α)。采用多重磁珠酶免疫分析仪测定血清中5种炎性细胞因子的含量;采用电感耦合等离子体质谱(ICP-MS)同时测定血清中5种元素的浓度。采用logistic回归分析这些血清指标与接受ART治疗的妇女流产风险的关系,建立了基于这些指标的妊娠结局预测模型。活产组不孕妇女IL-10、IL-1β和TNF-α水平明显高于流产组(p=0.009,p<0.001,p=0.006),和V的水平,Cu,活产组不孕妇女的Zn和Se也明显高于流产组(均p<0.001)。通过逻辑回归分析,我们发现IL-1β的血清水平,TNF-α,V,Cu,锌和硒与流产风险显著负相关。根据logistic回归分析结果生成不同的组合预测模型,和IL-1β的组合,Cu和Zn具有最好的预测性能。曲线下面积(AUC)为0.776,模型的敏感性为60%,特异性为84%。总之,胚胎移植后第14天接受ART的女性血清相关指标,包括炎症细胞因子如IL-1β和TNF-α和必需的微量金属元素如V,Cu,Zn和Se,与流产风险呈负相关。建立了预测接受ART的妇女妊娠结局的多变量算法模型,这表明IL-1β,Cu和Zn可以协同预测妊娠结局。
    To explore the association between serum-related indicators (levels of inflammatory cytokines and essential trace elements) and miscarriage risk among infertile women undergoing assisted reproductive techniques (ART) on the 14th day after embryo transfer, and to develop and establish a multivariable algorithm model that might predict pregnancy outcome. According to a nested case-control study design, a total of 100 miscarriage cases and 100 live birth controls were included in this study, and women in both groups were infertile and have underwent in vitro fertilization (IVF). Pregnancy tests were performed and serum levels of five essential trace elements (vanadium (V), copper (Cu), zinc (Zn), selenium (Se) and molybdenum (Mo)) and five inflammatory cytokines (interleukin-1β (IL-1β), IL-6, IL-8, IL-10 and tumor necrosis factor-α (TNF-α)) of the participants were measured on the 14th day after embryo transfer. The serum levels of five inflammatory cytokines were determined by multiple magnetic bead enzyme immunity analyzer; and the serum concentrations of five elements were determined simultaneously by inductively coupled plasma‒mass spectrometry (ICP ‒ MS). The logistic regression was used to evaluate the relationship between these serum indices and miscarriage risk among women undergoing ART, and a predictive model of pregnancy outcome based on these indices was established. The levels of IL-10, IL-1β and TNF-α of infertile women in the live birth group were significantly higher than those in the miscarriage group (p = 0.009, p < 0.001, p = 0.006), and the levels of V, Cu, Zn and Se of infertile women in the live birth group were also significantly higher than those in the miscarriage group (all p < 0.001). Through logistic regression analyses, we found that serum levels of IL-1β, TNF-α, V, Cu, Zn and Se were significantly and negatively associated with miscarriage risk. Different combination prediction models were generated according to the results of logistic regression analyses, and the combination of IL-1β, Cu and Zn had the best prediction performance. The area under the curve (AUC) was 0.776, the sensitivity of the model was 60% and the specificity was 84%. In conclusion, the serum-related indicators of women undergoing ART on the 14th day after embryo transfer, including the inflammatory cytokines such as IL-1β and TNF-α and the essential trace metal elements such as V, Cu, Zn and Se, were negatively correlated with miscarriage risk. A multivariate algorithm model to predict pregnancy outcome among women undergoing ART was established, which showed that IL-1β, Cu and Zn might synergistically predict pregnancy outcome.
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