Evidence map›Paper›PMID 24085613›Full record

ArticleMycopathologia2013

Patterns of human oral yeast species distribution on Hainan Island in China.

Huamin Wang, Jianping Xu, Hong Guo, Jinyan Wu, Guohui Yi, Hua Pei, Lina Niu, Yi Li

Abstract read
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In one paragraph

Article in Mycopathologia, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Oral Fungal Microbiota: To Thrush and Beyond.Journal of patient-centered research and reviews · 2019
    Review
  8. Article
  9. Article
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

8 authors.

Huamin WangNorman Bethune College of Medicine, Jilin University, Changchun, 130021, Jilin, China.
Jianping Xu
Hong Guo
Jinyan Wu
Guohui Yi
Hua Pei
Lina Niu
Yi Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infections by yeast strains of the genus Candida are among the most prevalent fungal infections of humans. These yeasts are common residents of the oral mucosa and other body surfaces. Since most yeast infections are due to endogenous strains and that species of Candida differ in virulence properties and in intrinsic susceptibilities to antifungal drugs, understanding the human commensal yeast flora can help designing effective treatment and prevention strategies against yeast infections. Here, we report the patterns of yeast species distributions in the oral cavities of 1,799 people from Hainan Island in southern China. Based on sequence information at the fungal barcode locus ITS regions, 368 of the 415 obtained oral yeast strains were identified as belonging to 26 yeast species, while the remaining 47 strains all showed significant sequence divergence to the currently described species. The four most common yeast species were C. albicans (42 %), C. tropicalis (20 %), C. glabrata (5.5 %), and C. parapsilosis (4.1 %) and 10 of the 26 yeast species were represented by only one strain each. Our analyses identified that the gender of hosts and ethnical background showed no contribution to oral yeast species distributions. However, the health status, place of birth, current residency, and the age of hosts all showed significant contributions to the distributions of the four dominant yeast species. We compared our results with those reported previously and discussed the potential mechanisms for the observed differences in oral yeast species distributions.

Indexed as

BiodiversityAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaDNA Barcoding, TaxonomicDNA, FungalDNA, Ribosomal SpacerFemaleHumansInfantInfant, NewbornMaleDNA, FungalDNA, Ribosomal Spacer

Identifiers

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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.