Evidence map›Paper›PMID 34493849›Full record

ArticleThe Journal of antibiotics2021

An efficient method to screen for the soil bacteria producing therapeutically effective antibiotics.

Hiroshi Hamamoto, Suresh Panthee, Kana Hashimoto, Toshio Tsuchida, Kazuhisa Sekimizu

Abstract read
PubMed Publisher
In one paragraph

Article in The Journal of antibiotics, 2021. 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
0.6field-weighted citation impact, top 30% 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, 6 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

5 authors at 2 institutions in 1 country.

Hiroshi Hamamoto *Institute of Medical Mycology, Teikyo University, Tokyo, Japan.ORCID http://orcid.org/0000-0001-9315-7442
Suresh Panthee *Institute of Medical Mycology, Teikyo University, Tokyo, Japan.ORCID http://orcid.org/0000-0003-4021-7936
Kana HashimotoGenome Pharmaceuticals Institute Co., Ltd, Tokyo, Japan.
Toshio TsuchidaGenome Pharmaceuticals Institute Co., Ltd, Tokyo, Japan.
Kazuhisa SekimizuGenome Pharmaceuticals Institute Co., Ltd, Tokyo, Japan. sekimizu@main.teikyo-u.ac.jp.ORCID http://orcid.org/0000-0002-2849-8432
Teikyo University · JPSBI Pharmaceuticals (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of novel therapeutic antimicrobials has become an urgent issue in response to the global crisis of the spread of multi-drug-resistant bacteria. In this report, we propose an efficient screening method for antimicrobial agents with therapeutic potential from soil bacteria. With this method, colonies of the soil bacteria were formed first on agar plates containing only an extract of soil, followed by an overlay of soft agar containing the pathogens, an antibiotic target. Then, we selected the colonies that formed the inhibitory zones on soft agar and evaluated the therapeutic efficacy of their culture supernatants using a silkworm bacterial infection model. Using Staphylococcus aureus as an indicator strain to obtain bacteria that produce therapeutically effective antimicrobials, we succeeded in reducing the screening size by 20-fold compared to the conventional method. An analysis of 86 antibiotics producers identified in this study indicated that the majority belonged to Streptomyces sp. and Lysobacter sp., well-known producers of secondary metabolites. Besides, the presence of eight genera and 37 species among the identified species indicated the diversity of antibiotic producers. Based on the finding of our study, we propose this method as an efficient way to discover novel antimicrobial agents that are therapeutically effective.

Indexed as

Soil MicrobiologyAnimalsAnti-Bacterial AgentsBacteriaBacterial InfectionsBombyxDrug DiscoveryDrug Resistance, Multiple, BacterialSecondary MetabolismAnti-Bacterial Agents

Identifiers

PMID34493849
OpenAlexW3198616108

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.