Rappaport Stephen M, Barupal Dinesh K, Wishart David, Vineis Paolo, Scalbert Augustin
Center for Exposure Biology, School of Public Health, University of California, Berkeley, Berkeley, California, USA.
Environ Health Perspect. 2014 Aug;122(8):769-74. doi: 10.1289/ehp.1308015. Epub 2014 Mar 21.
Since 2001, researchers have examined the human genome (G) mainly to discover causes of disease, despite evidence that G explains relatively little risk. We posit that unexplained disease risks are caused by the exposome (E; representing all exposures) and G × E interactions. Thus, etiologic research has been hampered by scientists' continuing reliance on low-tech methods to characterize E compared with high-tech omics for characterizing G.
Because exposures are inherently chemical in nature and arise from both endogenous and exogenous sources, blood specimens can be used to characterize exposomes. To explore the "blood exposome" and its connection to disease, we sought human blood concentrations of many chemicals, along with their sources, evidence of chronic-disease risks, and numbers of metabolic pathways.
From the literature we obtained human blood concentrations of 1,561 small molecules and metals derived from foods, drugs, pollutants, and endogenous processes. We mapped chemical similarities after weighting by blood concentrations, disease-risk citations, and numbers of human metabolic pathways.
Blood concentrations spanned 11 orders of magnitude and were indistinguishable for endogenous and food chemicals and drugs, whereas those of pollutants were 1,000 times lower. Chemical similarities mapped by disease risks were equally distributed by source categories, but those mapped by metabolic pathways were dominated by endogenous molecules and essential nutrients.
For studies of disease etiology, the complexity of human exposures motivates characterization of the blood exposome, which includes all biologically active chemicals. Because most small molecules in blood are not human metabolites, investigations of causal pathways should expand beyond the endogenous metabolome.
自2001年以来,研究人员主要通过检测人类基因组(G)来探寻疾病病因,尽管有证据表明基因组对疾病风险的解释相对有限。我们认为,无法解释的疾病风险是由暴露组(E;代表所有暴露因素)以及基因与暴露组的相互作用(G×E)导致的。因此,与用于描绘基因组的高科技组学技术相比,科学家们持续依赖低技术方法来描绘暴露组,这阻碍了病因学研究的发展。
由于暴露因素本质上具有化学特性,且来源于内源性和外源性两个方面,因此血液样本可用于描绘暴露组。为了探究“血液暴露组”及其与疾病的关联,我们对多种化学物质在人体血液中的浓度、其来源、慢性病风险证据以及代谢途径数量进行了研究。
我们从文献中获取了1561种小分子和金属在人体血液中的浓度数据,这些物质来源于食物、药物、污染物和内源性过程。我们在根据血液浓度、疾病风险引用次数和人类代谢途径数量进行加权后,绘制了化学物质的相似性图谱。
血液浓度范围跨越11个数量级,内源性化学物质、食物化学物质和药物的浓度没有明显差异,而污染物的浓度则低1000倍。根据疾病风险绘制的化学物质相似性图谱在不同来源类别中均匀分布,但根据代谢途径绘制的相似性图谱则以内源性分子和必需营养素为主。
对于疾病病因学研究而言,人类暴露因素的复杂性促使我们对血液暴露组进行描绘,血液暴露组包括所有具有生物活性的化学物质。由于血液中的大多数小分子并非人体代谢产物,因此因果途径的研究应超越内源性代谢组的范畴。