Department of Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Clinical Laboratory Diagnostics, Medical Technology College, Beihua University, Jilin 132013, China.
Biosci Rep. 2022 May 27;42(5). doi: 10.1042/BSR20210694.
Morbidity of chronic kidney disease (CKD) is increased, with many complications and high mortality rates. The characteristics of oral microbiome in CKD patients have not been reported. This study aims to analyze the oral microbiome, and to demonstrate the potential of microbiome as noninvasive biomarkers for CKD patients.
The study collected 253 oral samples from different regions of China (Central China and East China) prospectively and finally 235 samples completed Miseq sequencing, including 103 samples from CKD patients and 132 healthy controls (HCs).
Compared with HCs (n=88), the oral microbial diversity in CKD patients (n=44) was increased. Fourteen genera including Streptococcus, Actinomyces and Leptotrichia were enriched, while six genera including Prevotella and Haemophilus were decreased in CKD patients. Moreover, 49 predicted microbial gene functions including arginine metabolism and tryptophan metabolism increased, while 55 functions including Ribosome and DNA repair recombination proteins decreased. Furthermore, correlation analysis demonstrated that 38 operational taxonomic units (OTUs) were closely related to 5 clinical indicators of CKD. Notably, 7 optimal biomarkers were identified using random forest model, and the classifier model respectively reached an area under the curve (AUC) of 0.9917 and 0.8026 in the discovery and validation phase, achieving a cross-region validation.
We first illustrated the characteristics of the oral microbiome of patients with CKD, identified the potential of oral microbial makers as noninvasive tools for the diagnosis of CKD and achieved cross-region validation.
慢性肾脏病(CKD)的发病率增加,并发症多,死亡率高。CKD 患者口腔微生物组的特征尚未报道。本研究旨在分析口腔微生物组,并展示微生物组作为 CKD 患者非侵入性生物标志物的潜力。
本研究前瞻性地从中国不同地区(华东和华中)采集了 253 个口腔样本,最终完成 Miseq 测序的有 235 个样本,包括 103 个 CKD 患者样本和 132 个健康对照(HC)样本。
与 HCs(n=88)相比,CKD 患者(n=44)的口腔微生物多样性增加。14 个属,包括链球菌、放线菌和 Leptotrichia 等被富集,而 6 个属,包括普雷沃氏菌属和嗜血杆菌属等在 CKD 患者中减少。此外,49 个预测的微生物基因功能,包括精氨酸代谢和色氨酸代谢增加,而 55 个功能,包括核糖体和 DNA 修复重组蛋白减少。此外,相关性分析表明,38 个操作分类单元(OTUs)与 CKD 的 5 个临床指标密切相关。值得注意的是,使用随机森林模型鉴定了 7 个最佳生物标志物,分类器模型在发现和验证阶段分别达到了 0.9917 和 0.8026 的曲线下面积(AUC),实现了跨区域验证。
我们首次描述了 CKD 患者口腔微生物组的特征,确定了口腔微生物标志物作为 CKD 无创诊断工具的潜力,并实现了跨区域验证。