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Dysbiosis of Oral Microbiota Associated with Palmoplantar Pustulosis

Kageyama, Yasunari, Shimokawa, Yutaka, Kawauchi, Kimihiko, Morimoto, Masafumi, Aida, Koichi, Akiyama, Tetsu, Nakamura, Tsutomu·2021·Dermatology

Abstract

Background: Dysbiosis of oral microbiota is implicated not only in oral inflammatory lesions, but also in a variety of extraoral diseases. The etiology of palmoplantar pustulosis (PPP) remains unclear; however, it has been suggested that chronic inflammation caused by periodontopathic bacterial infection may play a role. Objectives/Methods: To determine whether patients with PPP have altered diversity and composition of oral microbiota, we conducted the 16S rDNA analysis using saliva samples collected from 21 outpatients with PPP and 10 healthy individuals. Results: We found that the proportion of bacteria in the phylum Proteobacteria was significantly lower in PPP patients (p = 0.025). At the genus level, patients with PPP had a significantly lower abundance of Neisseria (p = 0.014), which best accounted for the observed decrease in Proteobacteria. We also identified multiple minor genera and species that were represented at a significantly higher level in the PPP group, several of which have been associated with periodontal diseases. Conclusion: Our results suggest a possible link between PPP and dysbiosis of oral microbiota, particularly the lower abundance of Neisseria, the most predominant genus of Proteobacteria in healthy oral microbiota. Probiotics that improves oral dysbiosis may be beneficial for patients with PPP as an adjunctive therapy.

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Crossref · 10.1159/000511622

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Fig. 1 Flowchart of the Materials and Methods.
Fig. 1 Flowchart of the Materials and Methods.CC-BY-NC · From the PDF
Fig. 2 α- and β-Diversity comparisons of the oral microbiomes of the PPP and HC groups. a-d α-Diversity comparisons based on the species richness ( a ), species evenness ( b ), and species diversity ( c , d ). The mean values and outliers are shown by cross marks and open circles, respectively. Species richness, defined as the number of species identified in each sample, is the simplest measure of biodiversity. Pielou's evenness is a good measure of 'relative evenness' for each community. Species diversity (Shannon index and
Fig. 2 α- and β-Diversity comparisons of the oral microbiomes of the PPP and HC groups. a-d α-Diversity comparisons based on the species richness ( a ), species evenness ( b ), and species diversity ( c , d ). The mean values and outliers are shown by cross marks and open circles, respectively. Species richness, defined as the number of species identified in each sample, is the simplest measure of biodiversity. Pielou's evenness is a good measure of 'relative evenness' for each community. Species diversity (Shannon index andCC-BY-NC · From the PDF
(For legend see next page.)
(For legend see next page.)CC-BY-NC · From the PDF
Fig. 4 Taxonomic composition analysis of the oral microbiomes of the PPP and HC groups at the genus level. a Comparisons of the genus-level abundance within Proteobacteria of PPP and HC are shown in bar plots. The genera representing < 0.1% of the total oral microbes of HC are included in 'others.' b-e Comparisons of the
Fig. 4 Taxonomic composition analysis of the oral microbiomes of the PPP and HC groups at the genus level. a Comparisons of the genus-level abundance within Proteobacteria of PPP and HC are shown in bar plots. The genera representing < 0.1% of the total oral microbes of HC are included in 'others.' b-e Comparisons of theCC-BY-NC · From the PDF
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CC-BY-NC · From the PDF

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Research works printed but not linked: 44

  1. 10.1038/nrdp.2017.38 · DOI · Paper page
  2. 10.1177/0022034517742139 · DOI · Paper page
  3. 10.1177/0022034518805739 · DOI · Paper page
  4. 10.1038/sj.bdj.2018.217 · DOI
  5. 10.1111/odi.12589 · DOI
  6. 10.1111/odi.12472 · DOI
  7. 10.1016/j.atherosclerosis.2015.10.097 · DOI
  8. 10.1073/pnas.1011383107 · DOI · Paper page
  9. 10.1016/j.atherosclerosis.2012.05.021 · DOI
  10. 10.1111/eos.12423 · DOI
  11. 10.1111/jre.12432 · DOI
  12. 10.1371/journal.pone.0204724 · DOI
  13. 10.1002/art.34539 · DOI
  14. 10.1038/nm.3914 · DOI · Paper page
  15. 10.1186/s40168-017-0252-z · DOI
  16. 10.1016/j.jaut.2018.10.009 · DOI
  17. 10.1038/srep23561 · DOI
  18. 10.1093/rheumatology/key215 · DOI
  19. 10.1111/j.1346-8138.1995.tb03948.x · DOI
  20. 10.1046/j.1365-2133.1998.02113.x · DOI
  21. 10.3233/BME-2009-0563 · DOI
  22. 10.1067/mjd.2000.104305 · DOI
  23. 10.2340/00015555-1552 · DOI
  24. 10.1111/1346-8138.13751 · DOI
  25. 10.3389/fmicb.2015.00119 · DOI
  26. 10.1902/jop.2012.110566 · DOI
  27. 10.1186/1472-6831-14-157 · DOI
  28. 10.1111/jcpe.12470 · DOI
  29. 10.1038/nmicrobiol.2016.70 · DOI
  30. 10.1128/AEM.00462-17 · DOI
  31. 10.1038/ismej.2008.91 · DOI
  32. 10.3389/fmicb.2017.02244 · DOI
  33. 10.1002/1097-0215(20001101)88:3<342::AID-IJC4>3.0.CO;2-I · DOI
  34. 10.1080/20002297.2018.1492316 · DOI
  35. 10.3402/jom.v2i0.5104 · DOI
  36. 10.1111/j.1600-0765.2012.01516.x · DOI
  37. 10.1016/j.micpath.2015.11.029 · DOI
  38. 10.1111/j.1462-2920.2009.01949.x · DOI
  39. 10.1111/j.1462-2920.2009.02135.x · DOI
  40. 10.1177/0022034515594779 · DOI
  41. 10.1111/j.1600-051X.2009.01392.x · DOI
  42. 10.1111/j.1600-051X.2012.01914.x · DOI
  43. 10.3920/BM2017.0139 · DOI
  44. 10.1080/20002297.2019.1586422 · DOI · Paper page

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Metadata

Authors
Kageyama, Y., Shimokawa, Y., Kawauchi, K., Morimoto, M., Aida, K., Akiyama, T., & Nakamura, T.
Venue
Dermatology
Publisher
S. Karger AG
Published
2020-12-04
Volume
237
Issue
3
Pages
347-356
ISSN
  • 1018-8665
  • 1421-9832
Cited by
9
References
2
Language
en

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