Evidence map›Paper›PMID 36891192›Full record

ArticleJournal of oral microbiology2023

Understanding the bacterial compositional network associations between oral and gut microbiome within healthy Koreans.

Jinuk Jeong, Kung Ahn, Seyoung Mun, Kyeongeui Yun, Yeon-Tae Kim, Won Jung, Kyung Eun Lee, Moon-Young Kim, Yongju Ahn, Kyudong Han

Open access · goldAbstract read
In one paragraph

Article in Journal of oral microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 12 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

10 authors at 3 institutions in 1 country.

Jinuk JeongDepartment of Bioconvergence Engineering, Dankook University, Yongin, Republic of Korea.
Kung AhnDepartment of Human microbiome research HuNbiome Co. Ltd, R&D Center, Seoul, Republic of Korea.
Seyoung MunDepartment of Microbiology, College of Science & Technology, Dankook University, Cheonan, Republic of Korea.
Kyeongeui YunDepartment of Human microbiome research HuNbiome Co. Ltd, R&D Center, Seoul, Republic of Korea.
Yeon-Tae KimDepartment of Periodontology, Daejeon Dental Hospital, Institute of Wonkwang Dental Research, Wonkwang University College of Dentistry, Daejeon, Republic of Korea.
Won JungDepartment of Oral Medicine, School of Dentistry, Jeonbuk National University, Jeonju, Republic of Korea.
Kyung Eun LeeDepartment of Oral Medicine, School of Dentistry, Jeonbuk National University, Jeonju, Republic of Korea.
Moon-Young KimDepartment of Oral and Maxillofacial Surgery, College of Dentistry, Dankook University, Cheonan, Republic of Korea.
Yongju AhnDepartment of Human microbiome research HuNbiome Co. Ltd, R&D Center, Seoul, Republic of Korea.
Kyudong HanDepartment of Bioconvergence Engineering, Dankook University, Yongin, Republic of Korea.
Dankook University · KRJeonbuk National University · KRWonkwang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral microbial ecosystem could influence intestinal diseases, but there have been insufficient studies demonstrating the association of microbial composition between the oral cavity and the intestinal system. Thus, we aimed to investigate the compositional network within the oral microbiome related to gut enterotype from saliva and stool samples collected from 112 healthy Korean subjects. Here, we performed bacterial 16S amplicon sequencing from clinical samples. Then, we determined oral microbiome type related to individual's gut enterotype for healthy Korean. The co-occurrence analysis was performed to interactivity prediction of microbiome within saliva samples. As a result, it could be classified into two Korean oral microbiome types (KO) and four oral-gut-associated microbiome types (KOGA) according to distribution and significant differences of oral microflora. The co-occurrence analysis showed various bacterial compositional networks linked around

Indexed as

bacterial co-occurrence networksKorean oral microbiomemetagenome sequencingNext-generation sequencingoral–gut association microbial type

Identifiers

PMID36891192
PMCPMC9987756
OpenAlexW4323031763

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.