Evidence map›Paper›PMID 33304330›Full record

ArticleFrontiers in microbiology2020

Identification of Genetic Variants

Naoki Koga, Takuro Hosomi, Martijn Zwama, Chaiyanut Jirayupat, Takeshi Yanagida, Kunihiko Nishino, Seiji Yamasaki

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 83% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 4 institutions in 1 country.

Naoki KogaSchool of Pharmaceutical Sciences, Osaka University, Osaka, Japan.
Takuro HosomiGraduate School of Engineering, The University of Tokyo, Tokyo, Japan.
Martijn ZwamaInstitute of Scientific and Industrial Research, Osaka University, Osaka, Japan.
Chaiyanut JirayupatGraduate School of Engineering, The University of Tokyo, Tokyo, Japan.
Takeshi YanagidaGraduate School of Engineering, The University of Tokyo, Tokyo, Japan.
Kunihiko NishinoSchool of Pharmaceutical Sciences, Osaka University, Osaka, Japan.
Seiji YamasakiSchool of Pharmaceutical Sciences, Osaka University, Osaka, Japan.
Osaka University of Pharmaceutical Sciences · JPThe University of Tokyo · JPKyushu University · JPOsaka Research Institute of Industrial Science and Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indole is a signal molecule derived from the conversion of tryptophan, and it is present in bacterial respiratory gas. Besides influencing bacterial growth, indole exhibits effects on human health, including a positive effect on inflammation and protection against pathogens. However, a high fecal indole concentration (FIC) can suggest an unbalanced gut flora or the presence of certain pathogens. To analyze the indole produced by bacteria, its collection and detection is required. Traditional methods usually require centrifugation of liquid bacterial culture medium and subsequent extraction of indole from the medium or partial purification of indole from fecal samples (e.g., by distillation or extraction). In this study, we demonstrate the possibility of identifying gas contents directly from bacteria, and we distinguish the difference in species and their genetics without the need to centrifuge or extract. Using an absorbent sheet placed above a liquid culture, we were able to collect gas content directly from bacteria. Gas chromatography-mass spectrometry (GC-MS) was used for the analysis. The GC-MS results showed a clear peak attributed to indole for wild-type

Indexed as

bacteriaEscherichia coligasgas chromatography-mass spectrometryindoletnaAB

Identifiers

PMID33304330
PMCPMC7701088
OpenAlexW3104635979

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.