Evidence map›Paper›PMID 37104300›Full record

ArticlePloS one2023

Evaluation of alcohol-free mouthwash for studies of the oral microbiome.

Yukiko Yano, Emily Vogtmann, Alaina H Shreves, Stephanie J Weinstein, Amanda Black, Norma Diaz-Mayoral, Yunhu Wan, Weiyin Zhou, Xing Hua, Casey L Dagnall and 10 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Oral microbiome profiles by periodontitis stage in a Korean population.Frontiers in cellular and infection microbiology · 2026
    Article
  6. Review
  7. Journal of pharmacy & bioallied sciences · 2025
    Article
  8. Article
  9. Review
  10. Review
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

20 authors at 4 institutions in 1 country.

Yukiko YanoDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.ORCID 0000-0001-9816-0384
Emily VogtmannDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.ORCID 0000-0003-1355-5593
Alaina H ShrevesDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Stephanie J WeinsteinDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.ORCID 0000-0002-3834-1535
Amanda BlackDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Norma Diaz-MayoralLeidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America.
Yunhu WanDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Weiyin ZhouDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Xing HuaPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle Washington, United States of America.
Casey L DagnallDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Amy HutchinsonDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Kristine JonesDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Belynda D HicksDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Kathleen WyattDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Michelle BrotzmanDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Nicole GerlancDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Wen-Yi HuangDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.ORCID 0000-0002-4440-3368
Paul S AlbertDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Nicolas WentzensenDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Christian C AbnetDivision of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.ORCID 0000-0002-3008-7843
National Cancer Institute · USLeidos (United States) · USFred Hutch Cancer Center · USHarvard University · US

Funding

CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Oral bacteria play important roles in human health and disease. Oral samples collected using ethanol-containing mouthwash are widely used for oral microbiome studies. However, ethanol is flammable and not ideal for transportation/storage in large quantities, and some individuals may avoid ethanol due to the burning sensation or due to various personal, medical, religious, and/or cultural factors. Here, we compared ethanol-free and ethanol-containing mouthwashes using multiple microbiome metrics and assessed the stability of the mouthwash samples stored up to 10 days before processing. Forty volunteers provided oral wash samples collected using ethanol-free and ethanol-containing mouthwashes. From each sample, one aliquot was immediately frozen, one was stored at 4°C for 5 days and frozen, while the third aliquot was stored for 5 days at 4°C and 5 days at ambient temperature to mimic shipping delays and then frozen. DNA was extracted, the 16S rRNA gene V4 region was amplified and sequenced, and bioinformatic processing was performed using QIIME 2. Microbiome metrics measured in the two mouthwash types were very similar, with intraclass correlation coefficients (ICCs) for alpha and beta diversity metrics greater than 0.85. Relative abundances of some taxa were significantly different, but ICCs of the top four most abundant phyla and genera were high (> 0.75) for the comparability of the mouthwashes. Stability during delayed processing was also high for both mouthwashes based on alpha and beta diversity measures and relative abundances of the top four phyla and genera (ICCs ≥ 0.90). These results demonstrate ethanol-free mouthwash performs similarly to ethanol-containing mouthwash for microbial analyses, and both mouthwashes are stable for at least 10 days without freezing prior to laboratory processing. Ethanol-free mouthwash is suitable for collecting and shipping oral wash samples, and these results have important implications for planning future epidemiologic studies of the oral microbiome.

Indexed as

MicrobiotaMouthwashesBacteriaEthanolHumansRNA, Ribosomal, 16SEthanolMouthwashesRNA, Ribosomal, 16S

Identifiers

PMID37104300
PMCPMC10138257
OpenAlexW4367174795

What OpenQuestion holds

Textmetadata
LicenceCC0
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.