腹膜纤维化腹膜透析患者的肠道微生物群与腹膜平衡测试数据的比较分析。

Jiangqing Fan, Lingyun Wang, Ting Yang, Jing Liu, Weihong Ge, Jizhong Shen, Lulu Wang
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引用次数: 0

摘要

简介:腹膜纤维化(PF)患者腹膜功能与肠道微生物群之间的联系仍不确定:腹膜纤维化(PF)患者腹膜功能与肠道微生物群之间的联系仍不确定:方法:采用腹膜平衡试验(PET)评估腹膜纤维化(PF)患者的腹膜功能。采用 16S rRNA 测序分析腹膜透析组和腹膜纤维化组患者的肠道菌群,确定不同的微生物群落。使用 SPSS 26.0 进行斯皮尔曼相关分析,探讨微生物与腹膜透析的关系:在 PF 组,PET 显示 4 小时透析液与血浆肌酐比值(D/PCr)为 0.62 ± 1.01,4 小时超滤(UF)量为 41.73 ± 76.71 mL,葡萄糖浓度为 2.5%。PD 组和 PF 组的α多样性无显著差异。PD 组和 PF 组主要由真菌、担子菌和伊格纳维氏菌组成。线性判别分析效应大小(LEfse)分析表明,PD 组显著富集了固缩菌、乳杆菌科和芽孢杆菌,而 PF 组则富集了漆螺菌科、苯杆菌科和高杆菌科。对肠道微生物群基因进行功能预测后发现,两个组群在脂质转运、能量代谢和蛋白质翻译后修饰相关的代谢途径方面存在差异。在 PF 组中,Ignavibacteriae 和 Bdellovibrio 与 4-h D/PCr 比值呈正相关(p 结论:PF 组的肠道微生物群与 4-h D/PCr 比值呈正相关:新开始腹膜透析的患者的肠道微生物群与长期腹膜透析并发腹膜纤维化的患者的肠道微生物群明显不同,后者的腹膜功能可能与普雷沃特氏菌、伊格纳维氏菌和Bdellovibrio有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative analysis of gut microbiota in incident and prevalent peritoneal dialysis patients with peritoneal fibrosis, correlations with peritoneal equilibration test data in the peritoneal fibrosis cohort.

Introduction: The connection between peritoneal function and gut microbiota in peritoneal fibrosis (PF) patients remains uncertain.

Methods: Peritoneal equilibration test (PET) was employed to evaluate peritoneal function in patients with peritoneal fibrosis (PF). 16S rRNA sequencing was used to analyze the gut flora in incident peritoneal dialysis (PD) and PF groups, identifying differential microbial communities. Spearman's correlation analysis, conducted using SPSS 26.0, was employed to explore the microbial associations with PF.

Results: In the PF group, the PET showed a 4-h dialysate-to-plasma creatinine ratio (D/PCr) ratio of 0.62 ± 1.01 and a 4-h ultrafiltration (UF) volume of 41.73 ± 76.71 mL with a 2.5% glucose dwell. The alpha diversity between the PD and PF groups did not exhibit a significant difference. The PD and PF groups were predominantly composed of Firmicutes, Tenericutes, and Ignavibacteriae. Linear discriminant analysis effect size (LEfse) analysis indicates that the Firmicutes, Lactobacillales, and Bacilli were significantly enriched in the PD group, whereas Lachnospiraceae, Phenylobacterium, and Caulobacteraceae were enriched among the PF group. The functional prediction of gut microbiota genes revealed variations in metabolic pathways related to lipid transport, energy metabolism, and post-translational protein modifications between the two cohorts. In the PF group, Ignavibacteriae and Bdellovibrio correlated positively with the 4-h D/PCr ratio (p <0.05), while Prevotella negatively correlated with the 4-h UF from 2.5% glucose dwell (p <0.05).

Conclusion: The intestinal microbiota of patients newly initiated on peritoneal dialysis significantly differs from that of those with long-term peritoneal dialysis complicated by peritoneal fibrosis, with the latter's peritoneal function potentially linked to Prevotella, Ignavibacteriae, and Bdellovibrio.

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