Evidence map›Paper›PMID 36349219›Full record

ArticleRSC chemical biology2022

Fluorescent metabolic labeling-based quick antibiotic susceptibility test for anaerobic bacteria.

Juan Gao, Juanxiu Qin, Chenling Ding, Yuan Gao, Junnan Guo, Min Li, Chaoyong Yang, Wei Wang

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in RSC chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% 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, 3 citations in OpenAlex.

  1. Metabolism-Based Biomarkers for Rapid Phenotypic Antibiotic Susceptibility Testing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Juan GaoInstitute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine Shanghai 200127 China cyyang@xmu.edu.cn wwang@shsmu.edu.cn.
Juanxiu QinDepartment of Critical Care Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine Shanghai 200127 China ruth_limin@126.com.
Chenling DingDepartment of Laboratory Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine Shanghai 200127 China.
Yuan GaoDepartment of Laboratory Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine Shanghai 200127 China.
Junnan GuoThe MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Key Laboratory for Chemical Biology of Fujian Province State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering Xiamen University Xiamen 361005 China.
Min LiDepartment of Critical Care Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine Shanghai 200127 China ruth_limin@126.com.
Chaoyong YangInstitute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine Shanghai 200127 China cyyang@xmu.edu.cn wwang@shsmu.edu.cn.ORCID https://orcid.org/0000-0002-2374-5342
Wei WangInstitute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine Shanghai 200127 China cyyang@xmu.edu.cn wwang@shsmu.edu.cn.ORCID https://orcid.org/0000-0002-5539-4532
Shanghai Jiao Tong University · CNXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of the advancements in medicine and science, the numbers of patients surviving complicated diseases are continuously increasing, which in turn leads to elevated chances of anaerobic infections by endogenous bacteria. Traditional growth yield-based antibiotic susceptibility tests (ASTs) against anaerobic bacteria are very time-consuming (≥48 h) and labor intensive, which delays the timely guidance of antibiotic prescription and increases the mortality of patients. Inspired by a fluorescent d-amino acid (FDAA) labeling-based AST (FaAST) that we recently developed for quick determination of aerobic bacteria's susceptibilities, here we report an accurate and fast AST method for anaerobic pathogens. Based on flow cytometry analysis of anaerobes that have been treated with various doses of antibiotics and metabolically labeled with FDAA, the intensities of which can reflect their affected metabolic status by the drugs, the MICs of each drug can then be determined. The whole process can be completed in 5 h. After testing 40 combinations of the representative anaerobic bacteria and antibiotics, our method demonstrates a high susceptibility category accuracy of 95.0%. This FaAST-based protocol is helpful in accurately and quickly guiding antibiotic decisions when treating critical infections caused by anaerobic bacteria.

Identifiers

PMID36349219
PMCPMC9627725
OpenAlexW4295074213

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.