Evidence map›Paper›PMID 41396065›Full record

ArticleMicrobiology spectrum2026

Comparison of oral collection methods for 16S rRNA gene and shotgun metagenomic sequencing.

Giovanny Herrera, Semi Zouiouich, Norma Diaz-Mayoral, Vaishnavi Purandare, Britton Trabert, Yunhu Wan, Jia Liu, Casey L Dagnall, Kristine Jones, Belynda D Hicks and 5 more

Abstract readComparative Study
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

15 authors.

Giovanny HerreraDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0002-1395-4466
Semi ZouiouichDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0003-0263-3285
Norma Diaz-MayoralFrederick National Laboratory for Cancer Research/Leidos Biomedical Research Laboratory, Inc., Frederick, Maryland, USA.ORCID 0009-0009-6221-5772
Vaishnavi PurandareDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Britton TrabertUniversity of Utah School of Medicine and Huntsman Cancer Institute, Salt Lake City, Utah, USA.ORCID 0000-0002-1539-6090
Yunhu WanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0002-6556-0602
Jia LiuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Casey L DagnallDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Kristine JonesDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0003-1584-8920
Belynda D HicksDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0001-8014-4888
Amy HutchinsonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0002-4962-2711
Shilan LiDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Jianxin ShiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0001-8606-4707
Christian C AbnetDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0002-3008-7843
Emily VogtmannDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0003-1355-5593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand how sample collection affects oral microbiome studies, we evaluated the comparability of unpreserved saliva, saliva in glycerol, and mouthwash samples, their room temperature stability, and intraindividual stability over 6 months. Saliva and mouthwash samples were collected from 20 healthy participants 6 months apart. Saliva was divided, with half preserved in glycerol. Some aliquots were frozen immediately, while others were stored at room temperature for a week. DNA was extracted using the PowerSoil Pro and 16S rRNA gene, and shotgun metagenomic sequencing was conducted. Intraclass correlation coefficients (ICCs) from taxonomic and functional tables were compared to assess variability. We estimated sample size requirements based on the intraindividual stability over 6 months. Saliva in glycerol appeared more similar to unpreserved saliva than mouthwash, with higher median ICCs at genus (0.88 vs 0.60), species (0.92 vs 0.64), and gene levels (0.84 vs 0.36; all IMPORTANCE: The oral microbiome plays a key role in health and disease, yet methodological inconsistencies in sample collection and processing can introduce variability and limit comparability across studies. This study investigates the impact of different oral sample collection methods on microbiome profiling and their stability over time. We demonstrate that sample type significantly influences taxonomic and functional microbiome profiles, with mouthwash showing greater stability during delayed processing and saliva in glycerol more closely resembling fresh saliva. Importantly, intraindividual microbial communities were only moderately stable over 6 months, emphasizing the need for consistent sampling protocols and consideration of temporal variation. These findings have direct implications for microbiome study design, highlighting that methodological choices can affect reproducibility, statistical power, and biological interpretation. Our results support the use of mouthwash as a practical alternative when freezing is delayed and underscore the value of longitudinal sampling for detecting biologically meaningful changes.

Indexed as

BacteriaMetagenomicsMicrobiotaMouthRNA, Ribosomal, 16SSalivaSpecimen HandlingAdultDNA, BacterialFemaleGlycerolHumansMaleMiddle AgedMouthwashesYoung AdultDNA, BacterialGlycerolMouthwashesRNA, Ribosomal, 16Scomparabilityoral microbiomestability

Identifiers

PMID41396065
PMCPMC12889144

What OpenQuestion holds

Textmetadata
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.