Evidence map›Paper›PMID 34222038›Full record

ArticleFrontiers in cellular and infection microbiology2021

Structure and Function of Oral Microbial Community in Periodontitis Based on Integrated Data.

Zhengwen Cai, Shulan Lin, Shoushan Hu, Lei Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 70 citations in OpenAlex.

  1. Trial
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  3. Article
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  7. Journal of oral microbiology · 2026
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  15. Review
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  19. Article
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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

4 authors at 2 institutions in 1 country.

Zhengwen CaiState Key Laboratory of Oral Diseases, West China College of Stomatology, Sichuan University, Chengdu, China.
Shulan LinState Key Laboratory of Oral Diseases, West China College of Stomatology, Sichuan University, Chengdu, China.
Shoushan HuState Key Laboratory of Oral Diseases, West China College of Stomatology, Sichuan University, Chengdu, China.
Lei ZhaoState Key Laboratory of Oral Diseases, West China College of Stomatology, Sichuan University, Chengdu, China.
State Key Laboratory of Oral DiseasesSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Microorganisms play a key role in the initiation and progression of periodontal disease. Research studies have focused on seeking specific microorganisms for diagnosing and monitoring the outcome of periodontitis treatment. Large samples may help to discover novel potential biomarkers and capture the common characteristics among different periodontitis patients. This study examines how to screen and merge high-quality periodontitis-related sequence datasets from several similar projects to analyze and mine the potential information comprehensively. Methods: In all, 943 subgingival samples from nine publications were included based on predetermined screening criteria. A uniform pipeline (QIIME2) was applied to clean the raw sequence datasets and merge them together. Microbial structure, biomarkers, and correlation network were explored between periodontitis and healthy individuals. The microbiota patterns at different periodontal pocket depths were described. Additionally, potential microbial functions and metabolic pathways were predicted using PICRUSt to assess the differences between health and periodontitis. Results: The subgingival microbial communities and functions in subjects with periodontitis were significantly different from those in healthy subjects. Conclusion: This study shows significant differences in the oral microbial community and potential metabolic pathways between the periodontitis and healthy groups. Our integrated analysis provides potential biomarkers and directions for in-depth research. Moreover, a new method for integrating similar sequence data is shown here that can be applied to other microbial-related areas.

Indexed as

MicrobiotaPeriodontitisBacteriaHumansPeriodontal PocketPeriodontium16Sbacteriabiomarkerhigh-throughput nucleotide sequencingmetabolitemicrobiomeperiodontitis

Identifiers

PMID34222038
PMCPMC8248787
OpenAlexW3176113374

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.