Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Zhengzhou University, Zhengzhou, Henan, 450000, P. R. China.
Adv Sci (Weinh). 2022 Oct;9(28):e2201581. doi: 10.1002/advs.202201581. Epub 2022 Aug 17.
Membranous nephropathy (MN) is a common cause of nephrotic syndrome. The aim is to establish a non-invasive diagnostic model of MN using differential gut microbiome analysis, and to explore the relationship between the gut microbiome and MN pathogenesis in vivo. 825 fecal samples from MN patients and healthy participants are collected from multiple medical centers across China. Key operational taxonomic units (OTUs) obtained through 16S rRNA sequencing are used to establish a diagnostic model. A rat model of MN is developed to explore the relationship between the gut microbiome and the pathogenesis of MN. The diversity and richness of the gut microbiome are significantly lower in patients with MN than in healthy individuals. The diagnostic model based on seven OTUs achieves an excellent efficiency of 98.36% in the training group and also achieves high efficiency in cross-regional cohorts. In MN rat model, gut microbiome elimination prevents model establishment, but fecal microbiome transplantation restores the phenotype of protein urine. Gut microbiome analysis can be used as a non-invasive tool for MN diagnosis. The onset of MN depends on the presence of naturally colonized microbiome. Early intervention in the gut microbiome may help reduce urinary protein level in MN.
膜性肾病(MN)是肾病综合征的常见病因。本研究旨在通过对肠道微生物组的差异分析,建立一种非侵入性的 MN 诊断模型,并在体内探索肠道微生物组与 MN 发病机制的关系。本研究从中国多家医疗中心收集了 825 例 MN 患者和健康参与者的粪便样本。通过 16S rRNA 测序获得的关键操作分类单元(OTUs)用于建立诊断模型。建立 MN 大鼠模型,以探索肠道微生物组与 MN 发病机制的关系。MN 患者的肠道微生物组多样性和丰富度明显低于健康个体。基于 7 个 OTUs 的诊断模型在训练组中达到了 98.36%的优异效率,在跨区域队列中也表现出了较高的效率。在 MN 大鼠模型中,肠道微生物组消除可阻止模型建立,但粪便微生物组移植可恢复蛋白尿表型。肠道微生物组分析可作为 MN 诊断的一种非侵入性工具。MN 的发病取决于自然定植的微生物组的存在。早期干预肠道微生物组可能有助于降低 MN 的尿蛋白水平。