Evidence map›Paper›PMID 42478813›Full record

ArticleApplied and environmental microbiology2026

Minicells derived from

Xiaoya Tian, Kanghui Ju, Jun Zeng, Xiaona Pang, Jingyu Chen

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaoya TianKey Laboratory of Food Bioengineering (China National Light Industry), College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.ORCID 0009-0004-4830-6065
Kanghui JuKey Laboratory of Food Bioengineering (China National Light Industry), College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.
Jun ZengXinjiang Laboratory of Special Environmental Microbiology, Institute of Microbiology, Xinjiang Academy of Agricultural Sciences, Urumqi, China.
Xiaona PangLaboratory of Food Quality and Safety, Beijing Key Laboratory of Agricultural Product Detection and Control of Spoilage Organisms and Pesticide Residue, College of Food Science and Engineering, Beijing University of Agriculture, Beijing, China.
Jingyu ChenKey Laboratory of Food Bioengineering (China National Light Industry), College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.ORCID 0000-0002-1348-0790

Funding

Key R&D Program of Shandong Province, China 2025LZGC022Provincial and Municipal Agricultural Subsidy Special Funds
6 · The paper itself

Abstract

Phenylketonuria is an inherited metabolic disorder characterized by impaired phenylalanine (Phe) catabolism and toxic Phe accumulation. Current therapies are limited by poor long-term adherence, high cost, and biosafety concerns associated with existing or emerging approaches. Here, a non-replicative yet metabolically active platform was developed using anucleate minicells derived from IMPORTANCE: Engineered microbial systems are widely applied to perform defined metabolic functions, yet most designs rely on viable and replicating cells, intrinsically coupling functional output to population expansion. This growth-dependent paradigm complicates dose stability and raises biosafety concerns in practical applications. This study demonstrates that anucleate minicells derived from

Indexed as

Escherichia coliMetabolic EngineeringPhenylalanineAnimalsMicePhenylalanineEscherichia coli Nissle 1917metabolic engineeringminicellsphenylalanine degradation

Identifiers

PMID42478813
PMCPMC13488319

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.