Evidence map›Paper›PMID 41843676›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Reprogrammed SimCells for antimicrobial therapy.

Yun Dong, Xianglin Ji, Tao Dong, Yun Wang, Erik Bakkeren, Kevin R Foster, Wei E Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. 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
–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

1 citing paper in PubMed.

  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

7 authors.

Yun DongDepartment of Engineering Science, University of Oxford, Oxford OX1 3PJ, United Kingdom.ORCID 0009-0001-0275-0468
Xianglin JiOxford Suzhou Centre for Advanced Research, University of Oxford, Jiangsu 215123, P.R. China.ORCID 0009-0006-0689-772X
Tao DongDepartment of Immunology and Microbiology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0003-3557-1850
Yun WangOxford Suzhou Centre for Advanced Research, University of Oxford, Jiangsu 215123, P.R. China.
Erik BakkerenSir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, United Kingdom.ORCID 0000-0001-7970-7890
Kevin R FosterSir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, United Kingdom.ORCID 0000-0003-4687-6633
Wei E HuangDepartment of Engineering Science, University of Oxford, Oxford OX1 3PJ, United Kingdom.ORCID 0000-0003-1302-6528

Funding

EC | European Research Council (ERC) 787932UKRI | Biotechnology and Biological Sciences Research Council (AFRC) BB/T008784/1UKRI | Engineering and Physical Sciences Research Council (SRC) M002403/1UKRI | Engineering and Physical Sciences Research Council (SRC) Y014073/1Wellcome Trust (WT) 209397/Z/17/Z
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a critical global health challenge. In this study, we developed a platform based on chromosome-free and nonreplicating simple cells (SimCells, size 1 to 2 µm) and mini-SimCells (size 100 to 400 nm) for targeted pathogen elimination. Engineered with surface-displayed nanobodies, SimCells and mini-SimCells selectively bind bacteria expressing specific antigens (e.g., OmpA in

Indexed as

Anti-Bacterial AgentsEscherichia coliBacterial Outer Membrane ProteinsDrug Resistance, BacterialHydrogen PeroxideSingle-Domain AntibodiesAnti-Bacterial AgentsBacterial Outer Membrane ProteinsHydrogen PeroxideOMPA outer membrane proteinsSingle-Domain AntibodiesAMRnanobodySimCellssynthetic biologytherapy

Identifiers

PMID41843676
PMCPMC13012131

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.