Evidence map›Paper›PMID 19835625›Full record

ArticleBMC microbiology2009

Subgingival bacterial colonization profiles correlate with gingival tissue gene expression.

Panos N Papapanou, Jan H Behle, Moritz Kebschull, Romanita Celenti, Dana L Wolf, Martin Handfield, Paul Pavlidis, Ryan T Demmer

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
4.6field-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

57 citing papers in PubMed, 112 citations in OpenAlex.

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  16. Multiomics of Aging and Aging-Related Diseases.International journal of molecular sciences · 2024
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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

8 authors at 3 institutions in 2 countries.

Panos N PapapanouDivision of Periodontics, Section of Oral and Diagnostic Sciences, College of Dental Medicine, Columbia University, New York, NY, USA. pp192@columbia.edu
Jan H Behle
Moritz Kebschull
Romanita Celenti
Dana L Wolf
Martin Handfield
Paul Pavlidis
Ryan T Demmer
Columbia University · USCanada's Michael Smith Genome Sciences Centre · CAFlorida College · US

Funding

Neuroinformatics for gene expression: networks, function and meta-analysisR01GM076990 · NIGMS · UNIVERSITY OF BRITISH COLUMBIA · PI BIROL, INANC, PAVLIDIS, PAUL · 2005 to 2014
$2.0M
Gene Expression in Chronic and Aggressive PeriodontitisR01DE015649 · NIDCR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PAPAPANOU, PANOS N · 2004 to 2006
$1.8M
Epithelium-Microbe Interactions Dissected with ArraysR01DE016715 · NIDCR · UNIVERSITY OF FLORIDA · PI PROGULSKE-FOX, ANN · 2006 to 2010
$1.4M
Periodontal Infections and Type 2 Diabetes Mellitus RiskK99DE018739 · NIDCR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEMMER, RYAN T. · 2008 to 2009
$180k
CIHRNCRR NIH HHS RR025158NIDCR NIH HHS DE015649NIDCR NIH HHS DE16715NIDCR NIH HHS K99 DE-018739NIGMS NIH HHS GM076990
6 · The paper itself

Abstract

backgroundPeriodontitis is a chronic inflammatory disease caused by the microbiota of the periodontal pocket. We investigated the association between subgingival bacterial profiles and gene expression patterns in gingival tissues of patients with periodontitis. A total of 120 patients undergoing periodontal surgery contributed with a minimum of two interproximal gingival papillae (range 2-4) from a maxillary posterior region. Prior to tissue harvesting, subgingival plaque samples were collected from the mesial and distal aspects of each tissue sample. Gingival tissue RNA was extracted, reverse-transcribed, labeled, and hybridized with whole-genome microarrays (310 in total). Plaque samples were analyzed using checkerboard DNA-DNA hybridizations with respect to 11 bacterial species. Random effects linear regression models considered bacterial levels as exposure and expression profiles as outcome variables. Gene Ontology analyses summarized the expression patterns into biologically relevant categories.

resultsWide inter-species variation was noted in the number of differentially expressed gingival tissue genes according to subgingival bacterial levels: Using a Bonferroni correction (p < 9.15 x 10(-7)), 9,392 probe sets were differentially associated with levels of Tannerella forsythia, 8,537 with Porphyromonas gingivalis, 6,460 with Aggregatibacter actinomycetemcomitans, 506 with Eikenella corrodens and only 8 with Actinomyces naeslundii. Cluster analysis identified commonalities and differences among tissue gene expression patterns differentially regulated according to bacterial levels.

conclusionOur findings suggest that the microbial content of the periodontal pocket is a determinant of gene expression in the gingival tissues and provide new insights into the differential ability of periodontal species to elicit a local host response.

Indexed as

Gene Expression ProfilingAdolescentAdultAgedBacteriaCluster AnalysisDental PlaqueFemaleGene Expression RegulationGingivaHumansLinear ModelsMaleMiddle AgedOligonucleotide Array Sequence AnalysisPeriodontal Pocket

Identifiers

PMID19835625
PMCPMC2771036
OpenAlexW2167216473

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LicenceCC BY
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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.