Evidence map›Paper›PMID 39838372›Full record

ArticleJournal of biological engineering2025

Engineering probiotic Escherichia coli for inflammation-responsive indoleacetic acid production using RiboJ-enhanced genetic circuits.

Seung-Gyun Woo, Seong Keun Kim, Seung-Goo Lee, Dae-Hee Lee

Abstract read
In one paragraph

Article in Journal of biological engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

4 authors.

Seung-Gyun WooSynthetic Biology Research Center and the K-Biofoundry, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.
Seong Keun KimSynthetic Biology Research Center and the K-Biofoundry, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.
Seung-Goo LeeSynthetic Biology Research Center and the K-Biofoundry, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea. sglee@kribb.re.kr.
Dae-Hee LeeSynthetic Biology Research Center and the K-Biofoundry, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea. dhlee@kribb.re.kr.

Funding

Korea Research Institute of Bioscience and Biotechnology KGM5402423National Research Foundation of Korea 2018M3A9H3024746, 2021M3A9I4022731
6 · The paper itself

Abstract

backgroundAs our understanding of gut microbiota's metabolic impacts on health grows, the interest in engineered probiotics has intensified. This study aimed to engineer the probiotic Escherichia coli Nissle 1917 (EcN) to produce indoleacetic acid (IAA) in response to gut inflammatory biomarkers thiosulfate and nitrate.

resultsGenetic circuits were developed to initiate IAA synthesis upon detecting inflammatory signals, optimizing a heterologous IAA biosynthetic pathway, and incorporating a RiboJ insulator to enhance IAA production. The engineered EcN strains demonstrated increased IAA production in the presence of thiosulfate and nitrate. An IAA-responsive genetic circuit using the IacR transcription factor from Pseudomonas putida 1290 was also developed for real-time IAA monitoring.

conclusionsGiven IAA's role in reducing gastrointestinal inflammation, further refinement of this strain could lead to effective, in situ IAA-based therapies. This proof-of-concept advances the field of live biotherapeutic products and offers a promising approach for targeted therapy in inflammatory bowel diseases.

Indexed as

Escherichia coli Nissle 1917Genetic circuitIndoleacetic acidInflammatory bowel diseaseRiboJ insulator

Identifiers

PMID39838372
PMCPMC11753152

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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.