Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, UK.
J Mol Med (Berl). 2022 Jan;100(1):125-134. doi: 10.1007/s00109-021-02152-5. Epub 2021 Oct 18.
Some observational studies indicate a link between blood lead and kidney function although results remain controversial. In this study, Mendelian randomisation (MR) analysis was applied to obtain unconfounded estimates of the casual association of genetically determined blood lead with estimated glomerular filtration rate (eGFR) and the risk of chronic kidney disease (CKD). Data from the largest genome-wide association studies (GWAS) on blood lead, eGFR and CKD, from predominantly ethnically European populations, were analysed in total, as well as separately in individuals with or without type 2 diabetes mellitus. Inverse variance weighted (IVW) method, weighted median (WM)-based method, MR-Egger, MR-Pleiotropy RESidual Sum and Outlier (PRESSO) as well as the leave-one-out method were applied. In a general population, lifetime blood lead levels had no significant effect on risk of CKD (IVW: p = 0.652) and eGFR (IVW: p = 0.668). After grouping by type 2 diabetes status (no diabetes vs. diabetes), genetically higher levels of blood lead had a significant negative impact among subjects with type 2 diabetes (IVW = Beta: -0.03416, p = 0.0132) but not in subjects without (IVW: p = 0.823), with low likelihood of heterogeneity for any estimates (IVW p > 0.158). MR-PRESSO did not highlight any outliers. Pleiotropy test, with very negligible intercept and insignificant p-value, indicated a low likelihood of pleiotropy for all estimations. The leave-one-out method demonstrated that links were not driven by a single SNP. Our results show, for the first time, that among subjects with type 2 diabetes, higher blood lead levels are potentially related to less favourable renal function. Further studies are needed to confirm our results. KEY MESSAGES: What is already known about this subject? Chronic kidney disease is associated with unfavourable lifestyle behaviours and conditions such as type 2 diabetes. Observational studies have reported an association between blood lead and reduced estimated glomerular filtration rate, but the relationship between lead exposure and renal function remains controversial. What is the key question? Using Mendelian randomisation with data from 5433 individuals from the UK and Australian populations, does genetically determined blood lead have a potentially causal effect on estimated glomerular filtration rate and the risk of chronic kidney disease? What are the new findings? Blood lead levels have a potentially causal effect on reduced renal function in individuals with type 2 diabetes. In subjects without diabetes, no such causal relationship was identified. How might this impact on clinical practice in the foreseeable future? This highlights the risk of elevated blood lead, for example, due to environmental exposure, amongst those with type 2 diabetes, which may predispose them to impaired renal function.
一些观察性研究表明,血液铅与肾功能之间存在关联,尽管结果仍存在争议。在这项研究中,应用孟德尔随机化(MR)分析来获得遗传决定的血液铅与估算肾小球滤过率(eGFR)和慢性肾脏病(CKD)风险之间的因果关联的无偏估计。对来自主要为欧洲血统人群的最大全基因组关联研究(GWAS)关于血液铅、eGFR 和 CKD 的数据进行了总分析,以及对有或没有 2 型糖尿病的个体分别进行了分析。应用了逆方差加权(IVW)方法、加权中位数(WM)-基于方法、MR-Egger、MR-Pleiotropy RESidual Sum and Outlier(PRESSO)以及单样本缺失值法。在一般人群中,终生血铅水平对 CKD 风险(IVW:p=0.652)和 eGFR(IVW:p=0.668)没有显著影响。按 2 型糖尿病状态(无糖尿病与糖尿病)分组后,在患有 2 型糖尿病的患者中,较高的血铅水平具有显著的负向影响(IVW=Beta:-0.03416,p=0.0132),但在无糖尿病患者中没有(IVW:p=0.823),任何估计的异质性可能性都较低(IVW p>0.158)。MR-PRESSO 没有突出任何异常值。遗传异质性检验,截距非常小且 p 值无意义,表明所有估计的遗传异质性可能性较低。单样本缺失值法表明,关联不是由单个 SNP 驱动的。我们的研究结果首次表明,在患有 2 型糖尿病的患者中,较高的血铅水平可能与肾功能较差有关。需要进一步的研究来证实我们的结果。主要发现: 该主题已知的内容有哪些? 慢性肾脏病与不良的生活方式行为和 2 型糖尿病等情况有关。观察性研究报告称,血液铅与估算肾小球滤过率降低之间存在关联,但铅暴露与肾功能之间的关系仍存在争议。 关键问题是什么? 使用来自英国和澳大利亚人群的 5433 个人的数据进行孟德尔随机化,遗传决定的血铅是否对估算肾小球滤过率和慢性肾脏病的风险具有潜在的因果关系? 新发现是什么? 血铅水平对 2 型糖尿病患者的肾功能降低具有潜在的因果关系。在无糖尿病患者中,未发现这种因果关系。 这些发现对可预见的未来的临床实践有何影响? 这突显了由于环境暴露等原因导致血铅升高的风险,例如在 2 型糖尿病患者中,这可能使他们更容易出现肾功能受损。