Evidence map›Paper›PMID 34078780›Full record

ArticleMicrobes and environments2021

Dysbiosis in the Salivary Microbiome Associated with IgA Nephropathy-‍A‍ ‍Japanese Cohort Study.

Anushka Khasnobish, Lena Takayasu, Ken-Ichi Watanabe, Tien Thi Thuy Nguyen, Kensuke Arakawa, Osamu Hotta, Kensuke Joh, Akiyo Nakano, Shuhei Hosomi, Masahira Hattori and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Microbes and environments, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Renal failure · 2025
    Article
  3. Microbiota and kidney disease: the road ahead.Nature reviews. Nephrology · 2025
    Review
  4. Review
  5. Article
  6. Microbiota of Saliva: A Non-invasive Diagnostic Tool.Indian journal of microbiology · 2024
    Review
  7. The oral microbiome in autoimmune diseases: friend or foe?Journal of translational medicine · 2023
    Review
  8. Review
  9. [Research Progress in the Correlation Between Oral Microbiota and Chronic Kidney Disease].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023
    Review
  10. Review
  11. Review
  12. Findings on the Relationship Between Intestinal Microbiome and Vasculitis.Frontiers in cellular and infection microbiology · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 2 countries.

Anushka KhasnobishLaboratory of Animal Applied Microbiology, Graduate School of Environmental and Life Science, Okayama University.
Lena TakayasuDepartment of Human Ecology, School of International Health, Graduate School of Medicine, The University of Tokyo.
Ken-Ichi WatanabeDepartment of Otolaryngology-Head and Neck Surgery, Tohoku University Graduate School of Medicine.
Tien Thi Thuy NguyenFaculty of Engineering and Technology College of Agriculture and Forestry, Hue University.
Kensuke ArakawaLaboratory of Animal Applied Microbiology, Graduate School of Environmental and Life Science, Okayama University.
Osamu HottaHotta Osamu Clinic.
Kensuke JohDepartment of Pathology, Tohoku University Graduate School of Medicine.
Akiyo NakanoDepartment of Microbiology and Infectious Diseases, Nara Medical University.
Shuhei HosomiDepartment of Gastroenterology, Osaka City University Graduate School of Medicine.
Masahira HattoriLaboratory for Microbiome Sciences, RIKEN Center for Integrative Medical Sciences.
Wataru SudaLaboratory for Microbiome Sciences, RIKEN Center for Integrative Medical Sciences.
Hidetoshi MoritaLaboratory of Animal Applied Microbiology, Graduate School of Environmental and Life Science, Okayama University.
Okayama University · JPRIKEN Center for Integrative Medical Sciences · JPTohoku University · JPHue University of Agriculture and Forestry · VNNara Medical University · JPOsaka City University · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

MicrobiotaAdultArea Under CurveBacteriaCohort StudiesDysbiosisFemaleGlomerulonephritis, IGAHumansJapanMaleMiddle AgedSalivaYoung AdultIgA nephropathykidney diseaseoral microbiotarandom forest algorithmsalivary microbiome

Identifiers

PMID34078780
PMCPMC8209455
OpenAlexW3165223136

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.