School of Environment & Technology, University of Brighton, Brighton, UK.
Centre for Global Health Research, Brighton and Sussex Medical School, Brighton, UK.
Trans R Soc Trop Med Hyg. 2020 Dec 16;114(12):937-946. doi: 10.1093/trstmh/traa138.
Podoconiosis is a form of leg swelling, which arises when individuals are exposed over time to red clay soil formed from alkaline volcanic rock. The exact causal agent of the disease is unknown. This study investigates associations between podoconiosis disease data and ground-sampled soil data from North West Cameroon.
The mineralogy and elemental concentrations were measured in the soil samples and the data were spatially interpolated. Mean soil values were calculated from a 3 km buffer region around the prevalence data points to perform statistical analysis. Analysis included Spearman's rho correlation, binary logistic regression and principal component analysis (PCA).
Six elements, barium, beryllium, potassium, rubidium, strontium and thallium, as well as two minerals, potassium feldspar and quartz, were identified as statistically related to podoconiosis. PCA did not show distinct separation between the spatial locations with or without recorded cases of podoconiosis, indicating that other factors such as shoe-wearing behaviour and genetics may significantly influence podoconiosis occurrence and prevalence in North West Cameroon.
Several soil variables were statistically significantly related to podoconiosis. To further the current study, future investigations will look at the inflammatory pathway response of cells after exposure to these variables.
Podoconiosis 是一种腿部肿胀的形式,当个体长时间暴露于由碱性火山岩形成的红土中时,就会出现这种情况。该疾病的确切病因尚不清楚。本研究调查了喀麦隆西北部的 Podoconiosis 疾病数据与实地采集的土壤数据之间的关联。
对土壤样本进行矿物学和元素浓度测量,并对数据进行空间插值。从患病率数据点周围 3 公里的缓冲区计算出土壤值的平均值,以进行统计分析。分析包括 Spearman 的 rho 相关性、二元逻辑回归和主成分分析 (PCA)。
确定了六种元素(钡、铍、钾、铷、锶和铊)以及两种矿物(钾长石和石英)与 Podoconiosis 具有统计学相关性。PCA 并未显示出记录有或没有 Podoconiosis 病例的空间位置之间的明显分离,这表明在喀麦隆西北部,其他因素(如穿鞋行为和遗传)可能会显著影响 Podoconiosis 的发生和流行。
有几个土壤变量与 Podoconiosis 具有统计学显著相关性。为了进一步推进当前的研究,未来的研究将研究细胞暴露于这些变量后的炎症途径反应。