Evidence map›Paper›PMID 39801378›Full record

ReviewMicrobial biotechnology2025

Engineered Bacteria for Disease Diagnosis and Treatment Using Synthetic Biology.

Kai Jin, Yi Huang, Hailong Che, Yihan Wu

Abstract readReview
In one paragraph

Review in Microbial biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Pharmaceutics · 2026
    Review
  11. Review
  12. Emerging Nanoplatforms are Effective Against Tumor Hypoxia.International journal of nanomedicine · 2026
    Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. 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

4 authors.

Kai JinDepartment of Environmental and Chemical Engineering, Shanghai University, Shanghai, China.
Yi HuangDepartment of Environmental and Chemical Engineering, Shanghai University, Shanghai, China.
Hailong CheDepartment of Environmental and Chemical Engineering, Shanghai University, Shanghai, China.
Yihan WuDepartment of Environmental and Chemical Engineering, Shanghai University, Shanghai, China.ORCID 0000-0002-0776-8421

Funding

Fund for Innovative Research Team of High-Level Local Universities in ShanghaiNational Natural Science Foundation of China 32000036National Natural Science Foundation of China 32470060Shenzhen Medical Research Fund B2402007
6 · The paper itself

Abstract

Using synthetic biology techniques, bacteria have been engineered to serve as microrobots for diagnosing diseases and delivering treatments. These engineered bacteria can be used individually or in combination as microbial consortia. The components within these consortia complement each other, enhancing diagnostic accuracy and providing synergistic effects that improve treatment efficacy. The application of microbial therapies in cancer, intestinal diseases, and metabolic disorders underscores their significant potential. The impact of these therapies on the host's native microbiota is crucial, as engineered microbes can modulate and interact with the host's microbial environment, influencing treatment outcomes and overall health. Despite numerous advancements, challenges remain. These include ensuring the long-term survival and safety of bacteria, developing new chassis microbes and gene editing techniques for non-model strains, minimising potential toxicity, and understanding bacterial interactions with the host microbiota. This mini-review examines the current state of engineered bacteria and microbial consortia in disease diagnosis and treatment, highlighting advancements, challenges, and future directions in this promising field.

Indexed as

BacteriaSynthetic BiologyHumansbiosensorengineered bacterialive biotherapysynthetic biology

Identifiers

PMID39801378
PMCPMC11725985

What OpenQuestion 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 OpenQuestion graph.