Identification of circulating microbial DNA and its association with kidney function in patients with diabetic kidney disease

Abstract Aim Recently, substantial studies have been accumulated to indicate the important role of gut microbiota in diabetic kidney disease (DKD). The abnormal change of bacterial‐derived products could imply specific injuries or play beneficial or harmful roles in DKD progression. In this study, we examined the presence and contribution of the Klebsiella oxytoca gene in the circulation of patients with DKD. Method We enrolled a total of 16 healthy participants, 17 patients with DKD, 5 patients with DKD requiring haemodialysis (HD), and 7 patients with CKD without diabetes. Bacterial‐derived DNA (16S rDNA and a specific K. oxytoca gene) in the blood was detected using droplet digital PCR, then investigated the relationship with clinical characteristics. Results We identified an increase in K. oxytoca genes in the blood of DKD patients. Interestingly, blood K. oxytoca copies and K. oxytoca/ 16S DNA ratio correlated with higher blood creatinine and BUN levels together with lower eGFR in DKD patients. K. oxytoca levels were also associated with higher neutrophil percentage, lower lymphocyte frequency, and increased neutrophil‐to‐lymphocyte ratio. Conclusion Collectively, the presence of the K. oxytoca gene in the circulation could serve as a biomarker reflecting reduced renal function in DKD patients. image

Authors

Institutions

Publication Details

Journal
Nephrology
Published
2024-10-23
DOI
https://doi.org/10.1111/nep.14408
Citations
2
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
0.57

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of circulating microbial DNA and its association with kidney function in patients with diabetic kidney disease

Ryo Nishioka, Akira Tamai, Yasunori Iwata, Akihiko Koshino et al.
2 citations
Nephrology
Pancreatic and Hepatic Oncology Research
0.57
article

Identification of circulating microbial DNA and its association with kidney function in patients with diabetic kidney disease

Ryo Nishioka, Akira Tamai, Yasunori Iwata, Akihiko Koshino, Keisuke Horikoshi, Hajime Sanada, Taichiro Minami, Takeshi Zoshima, Megumi Oshima, Shiori Nakagawa, Masahiro Konishi, Kiyoaki Ito, Ichiro Mizushima, Hoang Thuy Linh, Keisuke Sako, Norihiko Sakai, Takashi Wada, Miho Shimizu, Shinji Kitajima, Takahiro Yuasa, Tadashi Toyama, Shunsuke Tsuge, Daiki Hayashi
article en
2 citations

Abstract

Abstract Aim Recently, substantial studies have been accumulated to indicate the important role of gut microbiota in diabetic kidney disease (DKD). The abnormal change of bacterial‐derived products could imply specific injuries or play beneficial or harmful roles in DKD progression. In this study, we examined the presence and contribution of the Klebsiella oxytoca gene in the circulation of patients with DKD. Method We enrolled a total of 16 healthy participants, 17 patients with DKD, 5 patients with DKD requiring haemodialysis (HD), and 7 patients with CKD without diabetes. Bacterial‐derived DNA (16S rDNA and a specific K. oxytoca gene) in the blood was detected using droplet digital PCR, then investigated the relationship with clinical characteristics. Results We identified an increase in K. oxytoca genes in the blood of DKD patients. Interestingly, blood K. oxytoca copies and K. oxytoca/ 16S DNA ratio correlated with higher blood creatinine and BUN levels together with lower eGFR in DKD patients. K. oxytoca levels were also associated with higher neutrophil percentage, lower lymphocyte frequency, and increased neutrophil‐to‐lymphocyte ratio. Conclusion Collectively, the presence of the K. oxytoca gene in the circulation could serve as a biomarker reflecting reduced renal function in DKD patients. image

NephrologyVol. 29(12)
Kanazawa University (JP), University of Fukui (JP)
Japan Society for the Promotion of Science
Good health and well-being
Openalex Percentile: Top 27%
Pancreatic and Hepatic Oncology Research
0.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.