Evidence map›Paper›PMID 33209242›Full record

ArticleChemical science2020

An RGB-emitting molecular cocktail for the detection of bacterial fingerprints.

Sheng Hong, Di-Wei Zheng, Qiu-Ling Zhang, Wei-Wei Deng, Wen-Fang Song, Si-Xue Cheng, Zhi-Jun Sun, Xian-Zheng Zhang

Abstract read
In one paragraph

Article in Chemical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

8 authors.

Sheng HongKey Laboratory of Biomedical Polymers of Ministry of Education , Department of Chemistry , Wuhan University , Wuhan 430072 , P. R. China . Email: xz-zhang@whu.edu.cn.ORCID 0000-0002-9803-6487
Di-Wei ZhengKey Laboratory of Biomedical Polymers of Ministry of Education , Department of Chemistry , Wuhan University , Wuhan 430072 , P. R. China . Email: xz-zhang@whu.edu.cn.
Qiu-Ling ZhangKey Laboratory of Biomedical Polymers of Ministry of Education , Department of Chemistry , Wuhan University , Wuhan 430072 , P. R. China . Email: xz-zhang@whu.edu.cn.
Wei-Wei DengDepartment of Oral Maxillofacial Head Neck Oncology , School and Hospital of Stomatology , Wuhan University , Wuhan 430072 , P. R. China.
Wen-Fang SongKey Laboratory of Biomedical Polymers of Ministry of Education , Department of Chemistry , Wuhan University , Wuhan 430072 , P. R. China . Email: xz-zhang@whu.edu.cn.
Si-Xue ChengKey Laboratory of Biomedical Polymers of Ministry of Education , Department of Chemistry , Wuhan University , Wuhan 430072 , P. R. China . Email: xz-zhang@whu.edu.cn.ORCID 0000-0001-9611-4421
Zhi-Jun SunDepartment of Oral Maxillofacial Head Neck Oncology , School and Hospital of Stomatology , Wuhan University , Wuhan 430072 , P. R. China.
Xian-Zheng ZhangKey Laboratory of Biomedical Polymers of Ministry of Education , Department of Chemistry , Wuhan University , Wuhan 430072 , P. R. China . Email: xz-zhang@whu.edu.cn.ORCID 0000-0001-6242-6005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence indicates that colonized microbes play a crucial role in regulating health and disease in the human body. Detecting microbes should be essential for understanding the relationship between microbes and diseases, as well as increasing our ability to detect diseases. Here, a combined metabolic labeling strategy was developed to identify different bacterial species and microbiota by the use of three different fluorescent metabolite derivatives emitting red, green, and blue (RGB) fluorescence. Upon co-incubation with microbes, these fluorescent metabolite derivatives are incorporated into bacteria, generating unique true-color fingerprints for different bacterial species and different microbiota. A portable spectrometer was also fabricated to automate the colorimetric analysis in combination with a smartphone to conveniently identify different bacterial species and microbiota. Herein, the effectiveness of this system was demonstrated by the identification of certain bacterial species and microbiota in mice with different diseases, such as skin infections and bacteremia. By analyzing the microbiota fingerprints of saliva samples from clinical patients and healthy people, this system was proved to precisely distinguish oral squamous cell carcinoma (OSCC,

Identifiers

PMID33209242
PMCPMC7643548

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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.