Evidence map›Paper›PMID 33425781›Full record

ArticleFrontiers in cellular and infection microbiology2020

Discriminating Microbial Community Structure Between Peri-Implantitis and Periodontitis With Integrated Metagenomic, Metatranscriptomic, and Network Analysis.

Keiji Komatsu, Takahiko Shiba, Yasuo Takeuchi, Takayasu Watanabe, Tatsuro Koyanagi, Takashi Nemoto, Masahiro Shimogishi, Masaki Shibasaki, Sayaka Katagiri, Shohei Kasugai and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.4field-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

36 citing papers in PubMed, 56 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Keiji KomatsuDepartment of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Takahiko ShibaDepartment of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Yasuo TakeuchiDepartment of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Takayasu WatanabeDepartment of Chemistry, Nihon University School of Dentistry, Tokyo, Japan.
Tatsuro KoyanagiDepartment of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Takashi NemotoDepartment of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Masahiro ShimogishiOral Implantology and Regenerative Dental Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Masaki ShibasakiOral Implantology and Regenerative Dental Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Sayaka KatagiriDepartment of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Shohei KasugaiOral Implantology and Regenerative Dental Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Takanori IwataDepartment of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Tokyo Medical and Dental University · JPNihon University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peri-implantitis and periodontitis are both polymicrobial diseases induced by subgingival plaque accumulation, with some differing clinical features. Studies on the microbial and gene transcription activity of peri-implantitis microbiota are limited. This study aimed to verify the hypothesis that disease-specific microbial and gene transcription activity lead to disease-specific clinical features, using an integrated metagenomic, metatranscriptomic, and network analysis. Metagenomic data in peri-implantitis and periodontitis were obtained from the same 21 subjects and metatranscriptomic data from 12 subjects were obtained from a database. The microbial co-occurrence network based on metagenomic analysis had more diverse species taxa and correlations than the network based on the metatranscriptomic analysis.

Indexed as

MicrobiotaPeri-ImplantitisPeriodontitisBacillotaHumansPrevotelladysbiosismetagenomemetatranscriptomeoral microbiomeperi-implantitisperiodontitis

Identifiers

PMID33425781
PMCPMC7793907
OpenAlexW3113082621

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.