Evidence map›Paper›PMID 35337329›Full record

ArticleBMC medical genomics2022

MinION, a portable long-read sequencer, enables rapid vaginal microbiota analysis in a clinical setting.

Shinnosuke Komiya, Yoshiyuki Matsuo, So Nakagawa, Yoshiharu Morimoto, Kirill Kryukov, Hidetaka Okada, Kiichi Hirota

Abstract read
In one paragraph

Article in BMC medical genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

7 authors.

Shinnosuke KomiyaDepartment of Obstetrics and Gynecology, Kansai Medical University Graduate School of Medicine, Osaka, Japan.ORCID 0000-0002-5587-7809
Yoshiyuki MatsuoDepartment of Human Stress Response Science, Institute of Biomedical Science, Kansai Medical University, Osaka, Japan. ysmatsuo-kyt@umin.ac.jp.ORCID 0000-0002-3183-4871
So NakagawaDepartment of Molecular Life Science, Tokai University School of Medicine, Kanagawa, Japan.ORCID 0000-0003-1760-3839
Yoshiharu MorimotoHORAC Grand Front Osaka Clinic, Osaka, Japan.ORCID 0000-0003-2834-2726
Kirill KryukovDepartment of Informatics, National Institute of Genetics, Shizuoka, Japan.ORCID 0000-0002-0286-0288
Hidetaka OkadaDepartment of Obstetrics and Gynecology, Kansai Medical University Graduate School of Medicine, Osaka, Japan.ORCID 0000-0002-7932-6999
Kiichi HirotaDepartment of Human Stress Response Science, Institute of Biomedical Science, Kansai Medical University, Osaka, Japan.ORCID 0000-0003-1110-0827

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt has been suggested that the local microbiota in the reproductive organs is relevant to women's health and may also affect pregnancy outcomes. Analysis of partial 16S ribosomal RNA (rRNA) gene sequences generated by short-read sequencers has been used to identify vaginal and endometrial microbiota, but it requires a long time to obtain the results, making it unsuitable for rapid bacterial identification from a small specimen amount in a clinical context.

methodsWe developed a simple workflow using the nanopore sequencer MinION that allows high-resolution and rapid differentiation of vaginal microbiota. Vaginal samples collected from 18 participants were subjected to DNA extraction and full-length 16S rRNA gene sequencing with MinION.

resultsThe principal coordinate analysis showed no differences in the bacterial compositions regardless of the sample collection method. The analysis of vaginal microbiota could be completed with a total analysis time of approximately four hours, allowing same-day results. Taxonomic profiling by MinION sequencing revealed relatively low diversity of the vaginal bacterial community, identifying the prevailing Lactobacillus species and several causative agents of bacterial vaginosis.

conclusionsFull-length 16S rRNA gene sequencing analysis with MinION provides a rapid means for identifying vaginal bacteria with higher resolution. Species-level profiling of human vaginal microbiota by MinION sequencing can allow the analysis of associations with conditions such as genital infections, endometritis, and threatened miscarriage.

Indexed as

MicrobiotaNanopore SequencingBacteriaFemaleHigh-Throughput Nucleotide SequencingHumansRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S16S rRNABacterial vaginosisLong-read sequencerMinIONNanopore

Identifiers

PMID35337329
PMCPMC8953062

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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.