Alteration of gut microbial profile in patients with diabetic nephropathy
Alteration of gut microbial profile in patients with diabetic nephropathy
复制标题
糖尿病肾病患者肠道微生物特征的改变
DOI：
10.1007/s12020-021-02721-1
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发表时间：
2021-04-27
期刊：
影响因子：
3.7
通讯作者：
Wang, Baohe
中科院分区：
文献类型：
--
作者：
Du, Xi;Liu, Jia;Wang, Baohe
目的调查显示，30-40%的糖尿病患者发生糖尿病肾病（DN）。肠道微生物组已成为糖尿病和慢性肾脏疾病的研究热点。系统分析了DN（3期或4期）患者和健康对照者的肠道微生物谱，并描述了不同疾病分期、性别和体重指数在DN中微生物谱的差异。方法选取37例健康志愿者（HG）和43例DN患者（PG）的粪便样本进行肠道微生物群16S rDNA V3-V4区分析。考虑到疾病分期、性别和BMI， PG和HG进一步分为三个亚组。为了预测DN阶段，使用从PG和HG样本中选择差异最大的属进行随机森林模型。结果PG组的肠道菌群丰富度和多样性远低于HG组，PG- iii组的肠道菌群组成处于HG和PG- iv组的中间水平。性别和体重指数对肠道微生物群有一定的影响，但主要的差异仍然来自疾病。随机森林模型由25个差异最大的微生物属构建。接收操作曲线（ROC）的曲线下面积（AUC）为0.972，对预测DN有较高的判别能力。结论与HG相比，DN患者表现出生态失调，肠道细菌丰富度和多样性下降，Megasphaera、Veillonella、Escherichia-Shigella、anaerosties和Haemophilus等特征属可能是DN新的潜在微生物生物标志物。
Aims Investigations show that 30-40% of patients with diabetes develop diabetic nephropathy (DN). The gut microbiome has become lively field research in diabetes mellitus and chronic kidney disease. The gut microbial profile in DN (stage-3 or 4) patients and healthy controls were systematically analyzed, the discrepancies on microbial profiles in different disease stages, gender, and BMI in DN were also described. Methods Fecal samples from 37 healthy volunteers (HG) and 43 DN patients (PG) were recruited to gut microbiota 16S rDNA V3-V4 regions analysis. In consideration of disease stage, gender, and BMI, PG, and HG were further divided into three subgroups. To predict the DN stage, a random forest model was carried out, using the most discrepant genera selected from the PG and HG samples. Results Gut bacterial richness and diversity in PG were far less than HG. The gut microbiota composition in PG-III was at the middle level between HG and PG-IV. The gender and BMI had some impact on the gut microbiota profile but the major difference still came from the disease. The random forest model was constructed from 25 most discrepant microbe genera. The area under curve (AUC) of receiving operational curve (ROC) was 0.972, indicated a high discriminatory power to predict DN. Conclusions DN patients showed dysbiosis and a decrease in gut bacterial richness and diversity compared with HG. Several characterized genera like Megasphaera, Veillonella, Escherichia-Shigella, Anaerostipes, and Haemophilus might be the new potential microbial biomarkers of DN.