TY - JOUR
T1 - Dysbiosis in the salivary microbiome associated with iga nephropathy —a japanese cohort study
AU - Khasnobish, Anushka
AU - Takayasu, Lena
AU - Watanabe, Ken Ichi
AU - Nguyen, Tien Thi Thuy
AU - Arakawa, Kensuke
AU - Hotta, Osamu
AU - Joh, Kensuke
AU - Nakano, Akiyo
AU - Hosomi, Shuhei
AU - Hattori, Masahira
AU - Suda, Wataru
AU - Morita, Hidetoshi
N1 - Funding Information:
The first author was supported by the Japanese Government through a MONBUKAGAKUSHO (MEXT) Scholarship during her study at Okayama University. The authors are very grateful to Chie Shindo for her technical assistance. All the subjects involved in this study gave informed consent. The authors have no conflicts of interest related to this work.
Publisher Copyright:
© 2021, Japanese Society of Microbial Ecology. All rights reserved.
PY - 2021
Y1 - 2021
N2 - IgA nephropathy is one of the leading causes of chronic kidney disease in Japan. Since the origin and mechanisms by which IgA nephropathy develops currently remain unclear, a confirmed disease diagnosis is currently only possible by highly invasive renal biopsy. With the background of the salivary microbiome as a rich source of biomarkers for systemic diseases, we herein primarily aimed to investigate the salivary microbiome as a tool for the non-invasive diagnosis of IgA nephropathy. In a comparison of salivary microbiome profiles using 16S rRNA amplicon sequencing, significant differences were observed in microbial diversity and richness between IgA nephropathy patients and healthy controls. Furthermore, recent studies reported that patients with IgA nephropathy are more likely to develop inflammatory bowel diseases and that chronic inflammation of the tonsils triggered the recurrence of IgA nephropathy. Therefore, we compared the salivary microbiome of IgA nephropathy patients with chronic tonsillitis and ulcerative colitis patients. By combining the genera selected by the random forest algorithm, we were able to distinguish IgA nephropathy from healthy controls with an area under the curve (AUC) of 0.90, from the ulcerative colitis group with AUC of 0.88, and from the chronic tonsillitis group with AUC of 0.70. Additionally, the genus Neisseria was common among the selected genera that facilitated the separation of the IgA nephropathy group from healthy controls and the chronic tonsillitis group. The present results indicate the potential of the salivary microbiome as a biomarker for the non-invasive diagnosis of IgA nephropathy.
AB - IgA nephropathy is one of the leading causes of chronic kidney disease in Japan. Since the origin and mechanisms by which IgA nephropathy develops currently remain unclear, a confirmed disease diagnosis is currently only possible by highly invasive renal biopsy. With the background of the salivary microbiome as a rich source of biomarkers for systemic diseases, we herein primarily aimed to investigate the salivary microbiome as a tool for the non-invasive diagnosis of IgA nephropathy. In a comparison of salivary microbiome profiles using 16S rRNA amplicon sequencing, significant differences were observed in microbial diversity and richness between IgA nephropathy patients and healthy controls. Furthermore, recent studies reported that patients with IgA nephropathy are more likely to develop inflammatory bowel diseases and that chronic inflammation of the tonsils triggered the recurrence of IgA nephropathy. Therefore, we compared the salivary microbiome of IgA nephropathy patients with chronic tonsillitis and ulcerative colitis patients. By combining the genera selected by the random forest algorithm, we were able to distinguish IgA nephropathy from healthy controls with an area under the curve (AUC) of 0.90, from the ulcerative colitis group with AUC of 0.88, and from the chronic tonsillitis group with AUC of 0.70. Additionally, the genus Neisseria was common among the selected genera that facilitated the separation of the IgA nephropathy group from healthy controls and the chronic tonsillitis group. The present results indicate the potential of the salivary microbiome as a biomarker for the non-invasive diagnosis of IgA nephropathy.
KW - IgA nephropathy
KW - Kidney disease
KW - Oral microbiota
KW - Random forest algorithm
KW - Salivary microbiome
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U2 - 10.1264/jsme2.ME21006
DO - 10.1264/jsme2.ME21006
M3 - Article
C2 - 34078780
AN - SCOPUS:85108208547
VL - 36
JO - Microbes and Environments
JF - Microbes and Environments
SN - 1342-6311
IS - 2
M1 - ME21006
ER -