Evidence mapPaperPMID 39543333Full record

ReviewThe Journal of antibiotics2025

Discovery of new AMR drugs targeting modulators of antimicrobial activity using in vivo silkworm screening systems.

Fumiaki Tabuchi, Kazuhiro Mikami, Masanobu Miyauchi, Kazuhisa Sekimizu, Atsushi Miyashita

Abstract readReview
In one paragraph

Review in The Journal of antibiotics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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.

Fumiaki TabuchiTeikyo University Institute of Medical Mycology, Hachioji, Tokyo, Japan.
Kazuhiro MikamiTeikyo University Institute of Medical Mycology, Hachioji, Tokyo, Japan.
Masanobu MiyauchiTeikyo University Institute of Medical Mycology, Hachioji, Tokyo, Japan.
Kazuhisa SekimizuFaculty of Pharma-Science, Teikyo University, Itabashi, Tokyo, Japan.ORCID 0000-0002-2849-8432
Atsushi MiyashitaTeikyo University Institute of Medical Mycology, Hachioji, Tokyo, Japan. atmiyashita@main.teikyo-u.ac.jp.ORCID 0000-0002-9076-0569

Funding

NARO | Bio-oriented Technology Research Advancement Institution (BRAIN) JPJ011937
6 · The paper itself

Abstract

Global concerns about drug-resistant bacteria have underscored the need for new antimicrobial drugs. Emerging strategies in drug discovery include considering the third factors that influence drug activity. These factors include host-derived elements, adjuvants, and drug combinations, which are crucial in regulating antimicrobial efficacy. Traditional in vivo assessments have relied on animal models to study drug absorption, distribution, metabolism, excretion, and toxicity (ADMET). Alternative models, such as silkworms, are being explored to overcome the ethical and financial barriers associated with mammalian models. The silkworm has been proven effective in evaluating ADMET and in highlighting the therapeutic potential enhanced by third factors. Host factors (either mammalian or non-mammalian) enhance the antimicrobial activity of antimicrobial agents such as lysocin E. Additionally, using D-cycloserine to potentiate vancomycin has successfully combated vancomycin-resistant infections in silkworms. Leveraging silkworms in drug discovery could establish a novel screening method incorporating interactions with third factors, whether host related or non-host-related, thus promising new pathways for identifying antimicrobial drugs with unique mechanisms of action.

Indexed as

Anti-Bacterial AgentsBombyxDrug DiscoveryAnimalsAnti-Infective AgentsBacteriaDrug Evaluation, PreclinicalDrug Resistance, BacterialMicrobial Sensitivity TestsAnti-Bacterial AgentsAnti-Infective Agents

Identifiers

PMID39543333
PMCPMC11769840

What Socratic holds

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Registered trials

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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 Socratic graph.