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Intestinal microbial characteristics in patients with advanced diabetic nephropathy based on metagenomics
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Yi CAO, Yu-qi ZHANG, Lin DENG, Na GUO, Jin-li TUO, Lin XIONG, Pei-bin ZENG, Zhong LI
Modern Preventive Medicine | 2026, 53(14) : 2531 - 2537
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Modern Preventive Medicine | 2026, 53(14): 2531-2537
• Epidemiology and Statistical Methods Advance •
Intestinal microbial characteristics in patients with advanced diabetic nephropathy based on metagenomics
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Yi CAO, Yu-qi ZHANG, Lin DENG, Na GUO, Jin-li TUO, Lin XIONG, Pei-bin ZENG, Zhong LI
Affiliations
  • West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
Published: 2026-07-25 doi: 10.20043/j.cnki.MPM.202601069
Outline
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Objective

To explore the differences in the composition and function of intestinal microbiota among healthy individuals, patients with diabetes, and those with diabetic nephropathy, and to analyze the characteristics of intestinal flora imbalance in patients with advanced diabetic nephropathy, providing references for the mechanism research and prevention and treatment strategy formulation of this disease.

Methods

A total of 32 patients with advanced diabetic nephropathy, 79 patients with diabetes mellitus and 55 healthy controls were enrolled from the West China Fourth Hospital and Southwest China natural population cohort. Clinical data were collected and fecal samples were subjected to metagenomic sequencing. Linear discriminant analysis was used to screen for differentially abundant species and functional pathways. Linear regression analysis was performed to investigate the correlation between population phenotypes and differentially abundant species. Random forest and SPIEC-EASI algorithms were used to establish species classifiers and interaction networks, respectively.

Results

There were significant differences in the β-diversity of the intestinal microbiota among the three groups, but no statistically significant differences were observed in the α-diversity. In the advanced stage of diabetic nephropathy patients, the intestines were enriched with various opportunistic pathogenic bacteria (such as Eggerthella lenta, Clostridium innocuum, Hungatella hathewayi, etc.) and harmful pathways such as anaerobic energy metabolism and L-histidine degradation, and were significantly correlated with renal function indicators. The intestines of diabetic patients were characterized by the enrichment of opportunistic pathogenic bacteria (such as Escherichia coli and Klebsiella pneumoniae) and the activation of glycolytic pathways. The random forest model performed best in differentiating the diabetic nephropathy group from the healthy control group (AUC=0.920). The co-abundance network analysis further revealed that the intestinal microbial interaction network of diabetic nephropathy patients was significantly sparser and the topological parameters changed, suggesting that there was an imbalance in the microbial ecological network during the disease process.

Conclusion

From diabetes to the advanced stage of diabetic nephropathy, the intestinal microbiota shows a progressive functional disorder, with an increase in the abundance of harmful bacterial species and metabolic pathways, which is closely related to the progression of the disease.

Diabetic nephropathy  /  Gut microbiome  /  Metagenomics
曹易, 张宇骐, 邓林, 郭娜, 庹金丽, 熊琳, 曾沛斌, 李钟. 基于宏基因组学的糖尿病肾病晚期患者肠道微生物特征分析. 现代预防医学, 2026 , 53 (14) : 2531 -2537 . DOI: 10.20043/j.cnki.MPM.202601069
Yi CAO, Yu-qi ZHANG, Lin DENG, Na GUO, Jin-li TUO, Lin XIONG, Pei-bin ZENG, Zhong LI. Intestinal microbial characteristics in patients with advanced diabetic nephropathy based on metagenomics[J]. Modern Preventive Medicine, 2026 , 53 (14) : 2531 -2537 . DOI: 10.20043/j.cnki.MPM.202601069
Year 2026 volume 53 Issue 14
186
80
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Article Info
doi: 10.20043/j.cnki.MPM.202601069
  • Receive Date:2026-01-05
  • Online Date:2026-09-28
  • Published:2026-07-25
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  • Received:2026-01-05
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    West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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