Evidence map›Paper›PMID 33612553›Full record

ArticleJournal of atherosclerosis and thrombosis2022

Characterization of Salivary Microbiota in Patients with Atherosclerotic Cardiovascular Disease: A Case-Control Study.

Nahoko Kato-Kogoe, Shoichi Sakaguchi, Kuniyasu Kamiya, Michi Omori, Yan-Hong Gu, Yuri Ito, Shota Nakamura, Takashi Nakano, Junko Tamaki, Takaaki Ueno and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
  3. OralJournal of oral microbiology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Oral microbiota in cardiovascular health and disease.Frontiers in cellular and infection microbiology · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. Microbiota of Saliva: A Non-invasive Diagnostic Tool.Indian journal of microbiology · 2024
    Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
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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

11 authors at 2 institutions in 1 country.

Nahoko Kato-KogoeDepartment of Dentistry and Oral Surgery, Osaka Medical College.
Shoichi SakaguchiDepartment of Microbiology and Infection Control, Osaka Medical College.
Kuniyasu KamiyaDepartment of Hygiene and Public Health, Osaka Medical College.
Michi OmoriDepartment of Dentistry and Oral Surgery, Osaka Medical College.
Yan-Hong GuDepartment of Hygiene and Public Health, Osaka Medical College.
Yuri ItoResearch and Development Center, Osaka Medical College.
Shota NakamuraDepartment of Infection Metagenomics, Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University.
Takashi NakanoDepartment of Microbiology and Infection Control, Osaka Medical College.
Junko TamakiDepartment of Hygiene and Public Health, Osaka Medical College.
Takaaki UenoDepartment of Dentistry and Oral Surgery, Osaka Medical College.
Masaaki HoshigaDepartment of Cardiology, Osaka Medical College.
Osaka Medical and Pharmaceutical University · JPOsaka University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsOral bacteria have been reported to be associated with the pathogenesis of atherosclerosis; however, the relationship between the oral microbiota and atherosclerosis remains unclear. The present study aimed to investigate whether or not salivary microbiota of patients with atherosclerotic cardiovascular disease (ACVD) differs from that of subjects without ACVD, and to characterize the salivary microbiota of patients with ACVD.

methodsThis study included 43 patients with ACVD and 86 age- and sex-matched non-ACVD individuals. 16S rRNA metagenomic analysis were performed using DNA isolated from the saliva samples of the participants. To select unique operational taxonomic unit (OTU) sets of ACVD, we conducted the random forest algorithm in machine learning, followed by confirmation via 10-fold cross-validation Results: There was no difference in richness or evenness between the ACVD and non-ACVD groups (alpha diversity; observed OTU index, p=0.503; Shannon's index, p=0.478). However, significant differences were found in the overall salivary microbiota structure (beta diversity; unweighted UniFrac distances, p=0.001; weighted UniFrac distances, p=0.001). The Actinobacteria phylum was highly abundant in patients with ACVD, while the Bacteroidetes phylum was less abundant. The random forest classifier identified 43 OTUs as an optimal marker set of ACVD. In a 10-fold cross validation using the validation data, an area under the curve (AUC) of 0.933 (95% CI, 0.855-1.000) was obtained.

conclusionsThe salivary microbiota in patients with ACVD was distinct from that of non-ACVD individuals, indicating that the salivary microbiota may be related to ACVD.

Indexed as

MicrobiotaAgedAged, 80 and overAtherosclerosisBacteriaBiomarkersCardiovascular DiseasesCase-Control StudiesFemaleHumansMaleMiddle AgedSalivaBiomarkers16S rRNA metagenomic analysisAtherosclerosisOral microbiotaSaliva

Identifiers

PMID33612553
PMCPMC8894113
OpenAlexW3131951710

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LicenceCC BY-NC-SA
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Registered trials

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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.