The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Relationships Among Gingival Crevicular Fluid Biomarkers, Clinical Parameters of Periodontal Disease, and the Subgingival Microbiota
Open accessAbstract
Background: The objectives of this study were to measure levels of gingival crevicular fluid (GCF) biomarkers and subgingival bacterial species in periodontally healthy subjects and subjects with periodontitis to explore the relationships among these biomarkers, the subgingival microbiota, and the clinical parameters of periodontal disease. Methods: Clinical periodontal parameters were measured at six sites per tooth in 20 subjects with periodontitis and 20 periodontally healthy subjects. GCF and subgingival plaque samples were obtained from the mesio‐buccal aspect of every tooth. GCF levels of interleukin (IL)‐1β and IL‐8 and matrix metalloproteinase 8 were measured using checkerboard immunoblotting, and the levels of 40 bacterial taxa were quantified using checkerboard DNA‐DNA hybridization. A subset of “clinically healthy” sites from each group was analyzed separately. The significance of the differences between groups was determined using the unpaired t test or the Mann‐Whitney test. Correlations among immunologic, microbiologic, and clinical data were determined using the Spearman rank correlation coefficient. Results: There were positive correlations among mean clinical parameters, mean levels of the three biomarkers, and the proportions of orange and red complex species (P <0.05). Clinically healthy sites from subjects with periodontitis had higher levels of IL‐1β and IL‐8 and higher proportions of orange and red complex species (P <0.05) than clinically healthy sites from periodontally healthy subjects. Red complex species were positively associated with the expression of all biomarkers (P <0.05), whereas purple and yellow complex species had negative correlations with IL‐1β and IL‐8 (P <0.05). Conclusions: Clinically healthy sites from subjects with periodontitis have higher levels of GCF biomarkers and periodontal pathogens than clinically healthy sites from periodontally healthy subjects. Different microbial complexes demonstrated distinct associations with specific GCF biomarkers.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Microbial complexes in subgingival plaque
Socransky, S. S., Haffajee, A. D., Cugini, M. A., Smith, C., & Kent, R. L. (1998) · Journal of Clinical Periodontology · doi:10.1111/j.1600-051x.1998.tb02419.x · Cited by 5,050
Self-citationSocransky, S. S., & Haffajee, A. D. (2005) · Periodontology 2000 · doi:10.1111/j.1600-0757.2005.00107.x · Cited by 1,691
Self-citation
Cited by
Microbial colonization of the periodontal pocket and its significance for periodontal therapy
Mombelli, A. (2018) · Periodontology 2000 · doi:10.1111/prd.12147 · Cited by 361
Ghallab, N. A. (2018) · Archives of Oral Biology · doi:10.1016/j.archoralbio.2017.12.022 · Cited by 174
Early microbial succession in redeveloping dental biofilms in periodontal health and disease
Teles, F. R., Teles, R. P., Uzel, N. G., Song, X. Q., Torresyap, G., Socransky, S. S., & Haffajee, A. D. (2012) · Journal of Periodontal Research · doi:10.1111/j.1600-0765.2011.01409.x · Cited by 139
Self-citationFinoti, L. S., Nepomuceno, R., Pigossi, S. C., Corbi, S. C., Secolin, R., & Scarel-Caminaga, R. M. (2017) · Medicine · doi:10.1097/md.0000000000006932 · Cited by 119
Nazar Majeed, Z., Philip, K., Alabsi, A. M., Pushparajan, S., & Swaminathan, D. (2016) · Disease Markers · doi:10.1155/2016/1804727 · Cited by 107
Metadata
- Authors
- Teles, R., Sakellari, D., Teles, F., Konstantinidis, A., Kent, R., Socransky, S., & Haffajee, A.
- Venue
- Journal of Periodontology
- Publisher
- Wiley
- Published
- 2010-01
- Volume
- 81
- Issue
- 1
- Pages
- 89-98
- ISSN
- 0022-3492 (ISSN-L)
- 1943-3670
- OpenAlex
- W2103080892
- Cited by
- 192
- References
- 2
- FWCI
- 15.95
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Relationships Among Gingival Crevicular Fluid Biomarkers, Clinical Parameters of Periodontal Disease, and the Subgingival Microbiota. https://app.cochat.ai/papers/10.1902/jop.2009.090397
- The paper
- Teles, R., Sakellari, D., Teles, F., Konstantinidis, A., Kent, R., Socransky, S., & Haffajee, A. (2010). Relationships Among Gingival Crevicular Fluid Biomarkers, Clinical Parameters of Periodontal Disease, and the Subgingival Microbiota. Journal of Periodontology. https://doi.org/10.1902/jop.2009.090397
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.