Evidence map›Paper›PMID 31520522›Full record

ArticleMicrobial biotechnology2019

Systematic optimization for production of the anti-MRSA antibiotics WAP-8294A in an engineered strain of Lysobacter enzymogenes.

Xusheng Chen, Shanren Li, Lingjun Yu, Amanda Miller, Liangcheng Du

Abstract read
In one paragraph

Article in Microbial biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Treatment of MRSA Infection: Where are We?Current medicinal chemistry · 2024
    Review
  4. Review
  5. Article
  6. Article
  7. 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.

Xusheng ChenDepartment of Biotechnology, Jiangnan University, Wuxi, Jiangsu, 214122, China.
Shanren LiDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
Lingjun YuDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
Amanda MillerDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
Liangcheng DuDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.ORCID 0000-0003-4048-1008

Funding

Molecular Mechanisms of DiseaseT32GM107001 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI BECKER, DONALD F, BLACK, PAUL N. · 2015 to 2019
$1.0M
NIGMS NIH HHS T32 GM107001
6 · The paper itself

Abstract

WAP-8294A is a group of cyclic lipodepsipeptides and considered as the first-in-class new chemical entity with potent activity against methicillin-resistant Staphylococcus aureus. One of the roadblocks in developing the WAP-8294A antibiotics is the very low yield in Lysobacter. Here, we carried out a systematic investigation of the nutritional and environmental conditions in an engineered L. enzymogenes strain for the optimal production of WAP-8294A. We developed an activity-based simple method for quick screening of various factors, which enabled us to optimize the culture conditions. With the method, we were able to improve the WAP-8294A yield by 10-fold in small-scale cultures and approximately 15-fold in scale-up fermentation. Additionally, we found the ratio of WAP-8294A2 to WAP-8294A1 in the strains could be manipulated through medium optimization. The development of a practical method for yield improvement in Lysobacter will facilitate the ongoing basic research and clinical studies to develop WAP-8294A into true therapeutics.

Indexed as

Anti-Bacterial AgentsBioreactorsBiotechnologyDepsipeptidesFermentationLysobacterAnti-Bacterial AgentsDepsipeptideslotilibcin

Identifiers

PMID31520522
PMCPMC6801147

What OpenQuestion holds

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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.