Evidence map›Paper›PMID 37344534›Full record

ArticleScientific reports2023

Factors influencing oral microbiome analysis: from saliva sampling methods to next-generation sequencing platforms.

Eunsik Bang, Sujin Oh, Uijin Ju, Ho Eun Chang, Jin-Sil Hong, Hyeong-Jin Baek, Keun-Suh Kim, Hyo-Jung Lee, Kyoung Un Park

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
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

27 citing papers in PubMed.

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  19. Saliva assay: a call for methodological standardization.Journal of periodontal & implant science · 2025
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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.

Eunsik Bang *Seoul National University College of Medicine, Seoul, Republic of Korea.
Sujin Oh *Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Uijin JuSeoul National University College of Medicine, Seoul, Republic of Korea.
Ho Eun ChangPHiCS Institute, Seoul, Republic of Korea.
Jin-Sil HongDepartment of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Hyeong-Jin BaekDepartment of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Keun-Suh KimDepartment of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Hyo-Jung LeeDepartment of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea. periolee@gmail.com.
Kyoung Un ParkDepartment of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. m91w95pf@snu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The exploration of oral microbiome has been increasing due to its relatedness with various systemic diseases, but standardization of saliva sampling for microbiome analysis has not been established, contributing to the lack of data comparability. Here, we evaluated the factors that influence the microbiome data. Saliva samples were collected by the two collection methods (passive drooling and mouthwash) using three saliva-preservation methods (OMNIgene, DNA/RNA shield, and simple collection). A total of 18 samples were sequenced by both Illumina short-read and Nanopore long-read next-generation sequencing (NGS). The component of the oral microbiome in each sample was compared with alpha and beta diversity and the taxonomic abundances, to find out the effects of factors on oral microbiome data. The alpha diversity indices of the mouthwash sample were significantly higher than that of the drooling group with both short-read and long-read NGS, while no significant differences in microbial diversities were found between the three saliva-preservation methods. Our study shows mouthwash and simple collection are not inferior to other sample collection and saliva-preservation methods, respectively. This result is promising since the convenience and cost-effectiveness of mouthwash and simple collection can simplify the saliva sample preparation, which would greatly help clinical operators and lab workers.

Indexed as

MicrobiotaSialorrheaBacteriaDNA, BacterialHigh-Throughput Nucleotide SequencingHumansMouthwashesRNA, Ribosomal, 16SSalivaDNA, BacterialMouthwashesRNA, Ribosomal, 16S

Identifiers

PMID37344534
PMCPMC10284873

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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.