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Regional bedrock geochemistry associated with podoconiosis evaluated by multivariate analysis

机译:通过多变量分析评估的区域基岩地球化学与多变量分析评估的

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Podoconiosis is a disease whose etiology remains murky. Currently, the disease is attributed to particles that are believed to move through the skin and into the lymphatic system causing swelling of the lower legs. Identity of these particles or their composition remains unclear, though the presence of silicon and/or aluminum is often noted and frequently cited as causal agents. We applied multivariate analyses to the bedrock compositions of a large set of cases from an online database in an effort to identify underlying patterns or combinations of relative element abundances associated with podoconiosis-endemic regions. Using a combination of principal component analysis, discriminant function analysis, and ANOVA, we analyzed ten oxides from five regions on the African continent known to be associated with podoconiosis. The Hawaiian Islands were included as a control group since they are not known to have cases of podoconiosis despite similarity in geology and agricultural practices. Our analyses suggest that a unique alkaline- and silicon-rich geochemistry underlies regions associated with podoconiosis. Our results also imply that minerals enriched in incompatible elements, such as Ca, K, Mg, and Na, may be stronger predictors of the presence of the disease than either silicon or aluminum.
机译:podoconiosis是一种病因仍然朦胧的疾病。目前,该疾病归因于被认为穿过皮肤和淋巴系统导致小腿肿胀的颗粒。虽然通常注意到硅和/或铝的存在并经常被称为因果剂,但是这些颗粒或其组合物的同一性仍然尚不清楚。我们将多变量分析应用于来自在线数据库的大型病例的基岩组合物,以旨在识别与泛菌症 - 流行区域相关的相关元素丰富的潜在模式或组合。使用主成分分析,判别函数分析和ANOVA的组合,我们分析了来自非洲大陆的五个地区的十个氧化物,该含有与泛菌病有关。夏威夷群岛被称为对照组,因为尽管地质和农业实践相似,但仍未知道它们的案例。我们的分析表明,一种独特的碱性和富含硅和硅的地球化学下潜与泛菌体相关的区域。我们的结果暗示富集在不相容的元素中的矿物质,例如Ca,K,Mg和Na,可能比硅或铝存在较强的疾病的预测因子。

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