Cited by 107Oral microbiology and periodontitis researchGut microbiota and healthDental Research and COVID-19

Relative reduction of biological and phylogenetic diversity of the oral microbiota of diabetes and pre-diabetes patients.

Saeb, Amr T.M., Al-Rubeaan, Khalid A., Aldosary, Khalid, Udaya Raja, G.K., Mani, Balavenkatesh, Abouelhoda, Mohamed, Tayeb, Hamsa T.·2019·Microbial Pathogenesis

Abstract

Background A reciprocal relationship between oral health and systemic disease, such as type 2 diabetes, has been suggested, whereby a systemic disease is a predisposing factor for oral infection. If the infection occurs, it in turn aggravates the progression of the systemic disease. According to several studies, certain constituents of the oral microbiota are linked to diabetes, metabolic syndrome, and obesity. In the current study, we aimed to compare the microbial diversity and population structure of the oral microbiota of normoglycemic, impaired glucose tolerance (IGT), and diabetes patients.Methodology The study followed a case-control design, with 15 type 2 diabetes patients, 10 IGT subjects, and 19 control subjects. All subjects underwent assessment of periodontitis and oral health. Saliva samples were collected, and DNA was isolated from these samples. Hypervariable regions of the 16Sr RNA gene were amplified and sequenced, and the generated sequences underwent bioinformatics analysis. Statistical analysis and diversity index calculations were made using the statistical software R, vegan R-package, and Past3.20 software.Results Overall, 551 operational taxonomic units (OTUs) were identified. Based on OTU analysis, a clear reduction of the number of species was observed in both IGT (412) and diabetes groups (372) compared with that in the normoglycemic group (502). This was associated with a similar pattern of reduction of biological diversity among the three groups. The phylogenetic diversity (PD-SBL) value in the normoglycemic group was higher than that in the diabetes group. The diabetes group exhibited the highest evenness value and the highest microbiota bacterial pathogenic content.Conclusion A clear reduction of the biological and phylogenetic diversity was apparent in the diabetes and pre-diabetes oral microbiota in comparison with that in the normoglycemic oral microbiota. However, this was associated with an increase in the pathogenic content of the hyperglycemic microbiota. The results of this study may aid to better understanding of the directionality of the mysterious reciprocal relationship.

Integrity signals

Registry

Crossref · 10.1016/j.micpath.2019.01.009

Cites

62 of 62 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The diversity of oral microbiota in patients with diabetes decreases significantly.

    “Moreover, it has been reported that the diversity of oral microbiota in patients with diabetes decreases significantly, and is associated with an increase in the pathogenic content of the hyperglycemic microbiota (Saeb et al., 2019), such as Capnocytophaga, Porphyromonas, and Pseudomonas (Graves et al., 2019).”

    From Oral Microbiome and SARS-CoV-2: Beware of Lung Co-infection (2020) · cites this paper as Saeb et al., 2019

  • The decrease in oral microbiota diversity in diabetes is associated with an increase in the pathogenic content of the hyperglycemic microbiota, such as Capnocytophaga, Porphyromonas, and Pseudomonas.

    “Moreover, it has been reported that the diversity of oral microbiota in patients with diabetes decreases significantly, and is associated with an increase in the pathogenic content of the hyperglycemic microbiota (Saeb et al., 2019), such as Capnocytophaga, Porphyromonas, and Pseudomonas (Graves et al., 2019).”

    From Oral Microbiome and SARS-CoV-2: Beware of Lung Co-infection (2020) · cites this paper as Saeb et al., 2019

Cites

Flagged first, then by citations

2 of the 64 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Saeb, A. T. M., Al-Rubeaan, K. A., Aldosary, K., Udaya Raja, G. K., Mani, B., Abouelhoda, M., & Tayeb, H. T.
Affiliations
  • King Saud University (SA)
  • King Abdulaziz City for Science and Technology (SA)
Corresponding author
Saeb, Amr T.M.
Venue
Microbial Pathogenesis
Publisher
Elsevier BV
Published
2019-03
Volume
128
Pages
215-229
ISSN
0882-4010 (ISSN-L)
OpenAlex
W2908194359
Cited by
107
References
64
Citations by year
2026: 7 · 2025: 17 · 2024: 12 · 2023: 15 · 2022: 21 · 2021: 19 · 2020: 12 · 2019: 4
FWCI
16.26
Type
journal article
Language
en
Open access
closed
Locations
  • Microbial Pathogenesis (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • King Abdulaziz City for Science and Technology
  • King Faisal Specialist Hospital & Research Center
  • NGS
  • King Faisal Specialist Hospital and Research Center
Topics
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Dentistry › General Dentistry › Dental Research and COVID-19
Keywords
oral microbiota, type 2 diabetes, prediabetes, impaired glucose tolerance, microbial diversity, phylogenetic diversity, 16S rRNA gene sequencing, saliva microbiota, periodontitis, oral health, hyperglycemia, pathogenic bacteria, metabolic syndrome, obesity, dysbiosis, species evenness, operational taxonomic units
MeSH terms
Adult, Bacteria, Diabetes Mellitus, Type 2, DNA, Bacterial, Female, Humans, Male, Middle Aged, Mouth, Oral Health, Periodontal Index, Periodontitis, Phylogeny, RNA, Ribosomal, 16S, Saliva, Saudi Arabia, Case-Control Studies, Sequence Analysis, DNA, Glucose Intolerance, Computational Biology, Biodiversity, Microbiota

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review