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炎症相关因素被确定为农业工人脱水及随后发生急性肾损伤的生物标志物。

Inflammation-Related Factors Identified as Biomarkers of Dehydration and Subsequent Acute Kidney Injury in Agricultural Workers.

机构信息

15792Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.

Renal Division, Department of Medicine, 1371Emory University, Atlanta, GA, USA.

出版信息

Biol Res Nurs. 2021 Oct;23(4):676-688. doi: 10.1177/10998004211016070. Epub 2021 May 21.

Abstract

Globally, there is increasing recognition that agricultural workers are at risk for chronic kidney disease of unknown etiology (CKD). Recurrent heat exposure, physical exertion, dehydration, muscle damage, and inflammation are hypothesized to contribute to the development of CKD, but the relative importance of these processes and the interactions among them remain unclear. Moreover, there is a need to identify biomarkers that could distinguish individuals who are at greatest risk for kidney damage to target preventative interventions for CKD. In this study, we evaluated dehydration and markers of inflammation, muscle damage, and renal function in agricultural workers at a non-workday baseline assessment. Urine specific gravity and kidney function were measured before and after work shifts on three subsequent days, and heat index, core body temperature, and heart rate were monitored during the work shifts. A combination of direct comparisons and machine learning algorithms revealed that reduced levels of uromodulin and sodium in urine and increased levels of interleukin-6 and C-reactive protein in serum were indicative of dehydration at baseline, and that dehydration, high body mass index, reduced urine uromodulin, and increased serum interleukin-6, C-reactive protein, and lipopolysaccharide-binding protein at baseline were predictive of acute kidney injury on subsequent workdays. Our findings suggest a method for identifying agricultural workers at greatest risk for kidney injury and reveal potential mechanisms responsible for this process, including pathways overlapping in dehydration and kidney injury. These results will guide future studies confirming these mechanisms and introducing interventions to protect kidney health in this vulnerable population.

摘要

在全球范围内,人们越来越认识到农业工人有患病因不明的慢性肾脏病(CKD)的风险。反复的热暴露、体力消耗、脱水、肌肉损伤和炎症被认为是导致 CKD 发展的原因,但这些过程的相对重要性以及它们之间的相互作用仍不清楚。此外,需要确定能够区分肾脏损伤风险最高的个体的生物标志物,以便针对 CKD 进行预防性干预。在这项研究中,我们在非工作日的基线评估中评估了农业工人的脱水和炎症、肌肉损伤和肾功能标志物。在随后的三天的工作日前后测量了尿液比重和肾功能,并在工作日期间监测了热指数、核心体温和心率。直接比较和机器学习算法的组合表明,尿液中尿调蛋白和钠的水平降低以及血清中白细胞介素-6 和 C 反应蛋白的水平升高表明基线时存在脱水,而基线时的脱水、高体重指数、降低的尿液尿调蛋白以及升高的血清白细胞介素-6、C 反应蛋白和脂多糖结合蛋白与随后的工作日急性肾损伤相关。我们的研究结果表明了一种识别肾脏损伤风险最高的农业工人的方法,并揭示了导致这一过程的潜在机制,包括脱水和肾脏损伤之间重叠的途径。这些结果将指导未来的研究,以确认这些机制,并引入干预措施来保护这一脆弱人群的肾脏健康。

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