Evidence map›Paper›PMID 28721234›Full record

ArticleNPJ biofilms and microbiomes2015

Functional biomarkers for chronic periodontitis and insights into the roles of

Szymon P Szafrański, Zhi-Luo Deng, Jürgen Tomasch, Michael Jarek, Sabin Bhuju, Christa Meisinger, Jan Kühnisch, Helena Sztajer, Irene Wagner-Döbler

Open access · goldAbstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 6% 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

54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 87 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 3 institutions in 1 country.

Szymon P SzafrańskiResearch Group Microbial Communication, Department of Molecular Infection Biology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.
Zhi-Luo DengResearch Group Microbial Communication, Department of Molecular Infection Biology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.
Jürgen TomaschResearch Group Microbial Communication, Department of Molecular Infection Biology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.
Michael JarekGenome Analytics, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Sabin BhujuGenome Analytics, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Christa MeisingerInstitute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Jan KühnischDepartment of Conservative Dentistry, Ludwig-Maximilians-University, München, Germany.
Helena SztajerResearch Group Microbial Communication, Department of Molecular Infection Biology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.
Irene Wagner-DöblerResearch Group Microbial Communication, Department of Molecular Infection Biology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.
Helmholtz Centre for Infection Research · DEHelmholtz Zentrum München · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesPeriodontitis is the most prevalent inflammatory disease worldwide and is caused by a dysbiotic subgingival biofilm. Here we used metatranscriptomics to determine the functional shift from health to periodontitis, the response of individual species to dysbiosis and to discover biomarkers.

methodsSixteen individuals were studied, from which six were diagnosed with chronic periodontitis. Illumina sequencing of the total messenger RNA (mRNA) yielded ~42 million reads per sample. A total of 324 human oral taxon phylotypes and 366,055 open reading frames from the HOMD database reference genomes were detected.

resultsThe transcriptionally active community shifted from Bacilli and Actinobacteria in health to Bacteroidia, Deltaproteobacteria, Spirochaetes and Synergistetes in periodontitis. Clusters of orthologous groups (COGs) related to carbohydrate transport and catabolism dominated in health, whereas protein degradation and amino acid catabolism dominated in disease. The LEfSe, random forest and support vector machine methods were applied to the 2,000 most highly expressed genes and discovered the three best functional biomarkers, namely haem binding protein HmuY from

conclusionGene biomarkers of periodontitis are highly predictive. The pro-inflammatory role of

Identifiers

PMID28721234
PMCPMC5515211
OpenAlexW2476662359

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.