Evidence map›Paper›PMID 24642489›Full record

ReviewVirulence2014

Application of metagenomics in understanding oral health and disease.

Ping Xu, John Gunsolley

Open access · goldAbstract readReview
In one paragraph

Review in Virulence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 96 citations in OpenAlex.

  1. The Effect ofPolish journal of microbiology · 2020
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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

2 authors at 1 institution in 2 countries.

Ping XuVCU Philips Institute; Virginia Commonwealth University; Richmond, VA USA; Center for the Study of Biological Complexity; Virginia Commonwealth University; Richmond, VA USA; Department of Microbiology and Immunology; Virginia Commonwealth University; Richmond, VA USA.
John GunsolleyPeriodontics Department; Virginia Commonwealth University; Richmond, VA USA.
Virginia Commonwealth University · US

Funding

Interaction of Colonizer and Pathogen In Oral BiofilmR01DE023078 · NIDCR · VIRGINIA COMMONWEALTH UNIVERSITY · PI XU, PING · 2013 to 2017
$1.9M
Regulation Of Fitness And Virulence In Oral StreptococciR01DE018138 · NIDCR · VIRGINIA COMMONWEALTH UNIVERSITY · PI XU, PING · 2008 to 2012
$1.7M
NIDCR NIH HHS R01 DE018138NIDCR NIH HHS R01DE018138NIDCR NIH HHS R01 DE023078NIDCR NIH HHS R01DE023078
6 · The paper itself

Abstract

Oral diseases including periodontal disease and caries are some of the most prevalent infectious diseases in humans. Different microbial species cohabitate and form a polymicrobial biofilm called dental plaque in the oral cavity. Metagenomics using next generation sequencing technologies has produced bacterial profiles and genomic profiles to study the relationships between microbial diversity, genetic variation, and oral diseases. Several oral metagenomic studies have examined the oral microbiome of periodontal disease and caries. Gene annotations in these studies support the association of specific genes or metabolic pathways with oral health and with specific diseases. The roles of pathogenic species and functions of specific genes in oral disease development have been recognized by metagenomic analysis. A model is proposed in which three levels of interactions occur in the oral microbiome that determines oral health or disease.

Indexed as

MetagenomicsMicrobiotaOral HealthHost-Pathogen InteractionsHumansMouth DiseasesSymbiosisbiofilmcariesdental plaquemetabolic pathwaymetagenomicsoral microbiomepathogenperiodontal diseasepolymicrobialsystems biology

Identifiers

PMID24642489
PMCPMC3979870
OpenAlexW2149575667

What OpenQuestion holds

Textmetadata
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.