Lee Hansongyi, Jang Han Byul, Yoo Min-Gyu, Park Sang Ick, Lee Hye-Ja
Center for Biomedical Sciences, Korea National Institute of Health, Cheongju 28159, Korea.
Biomedicines. 2020 Jul 17;8(7):222. doi: 10.3390/biomedicines8070222.
The discovery of metabolomics-based biomarkers has been a focus of recent kidney dysfunction research. In the present study, we aimed to identify metabolites associated with chronic kidney disease (CKD) in the general population using a cross-sectional study design. At baseline, 6.5% of subjects had CKD. Pearson correlation analysis showed that 28 metabolites were significantly associated with estimated glomerular filtration rate (eGFR) after Bonferroni correction. Among these metabolites, 4 acylcarnitines, 12 amino acids, 4 biogenic amines, 1 phosphatidylcholine, and 1 sphingolipid were associated with CKD ( < 0.05). After eight years, 13.5% of subjects had CKD. Three amino acid metabolites were positively associated with new-onset CKD: citrulline [odds ratio (OR): 2.41, 95% confidence interval (CI): 1.26-4.59], kynurenine (OR: 1.98, 95% CI: 1.05-3.73), and phenylalanine (OR: 2.68, 95% CI: 1.00-7.16). The kynurenine:tryptophan ratio was also associated with CKD (OR: 3.20; 95% CI: 1.57-6.51). The addition of multiple metabolites significantly improved the CKD prediction by C statistics (0.756-0.85, < 0.0001), and the net reclassification improvement was 0.84 (95% CI: 0.72-0.96). Elevated hs-C reactive protein (CRP) was associated with new-onset CKD (OR: 1.045, 95% CI: 1.005-1.086); however, this association disappeared following adjustment with the kynurenine:tryptophan ratio. The levels of citrulline and kynurenine and their ratio to tryptophan in CKD patients with proteinuria were worse than those with one or neither characteristic. Together, the results of this study demonstrate that amino acid metabolites are associated with CKD eight years after initial metabolite assessment. These results could improve the identification of subjects at high risk of CKD who have modified amino acid metabolism.
基于代谢组学的生物标志物的发现一直是近期肾功能障碍研究的重点。在本研究中,我们旨在采用横断面研究设计,在普通人群中识别与慢性肾脏病(CKD)相关的代谢物。在基线时,6.5%的受试者患有CKD。Pearson相关分析显示,经过Bonferroni校正后,28种代谢物与估计肾小球滤过率(eGFR)显著相关。在这些代谢物中,4种酰基肉碱、12种氨基酸、4种生物胺、1种磷脂酰胆碱和1种鞘脂与CKD相关(<0.05)。八年后,13.5%的受试者患有CKD。三种氨基酸代谢物与新发CKD呈正相关:瓜氨酸[比值比(OR):2.41,95%置信区间(CI):1.26 - 4.59]、犬尿氨酸(OR:1.98,95%CI:1.05 - 3.73)和苯丙氨酸(OR:2.68,95%CI:1.00 - 7.16)。犬尿氨酸:色氨酸比值也与CKD相关(OR:3.20;95%CI:1.57 - 6.51)。多种代谢物的加入显著提高了C统计量对CKD的预测能力(0.756 - 0.85,<0.0001),净重新分类改善为0.84(95%CI:0.72 - 0.96)。高敏C反应蛋白(hs-CRP)升高与新发CKD相关(OR:1.045,95%CI:1.005 - 1.086);然而,在校正犬尿氨酸:色氨酸比值后,这种关联消失。蛋白尿性CKD患者的瓜氨酸和犬尿氨酸水平及其与色氨酸的比值比有或无蛋白尿特征的患者更差。总之,本研究结果表明,在初次代谢物评估八年后,氨基酸代谢物与CKD相关。这些结果可以改善对氨基酸代谢改变的CKD高危受试者的识别。