Evidence map›Paper›PMID 41135875›Full record

ReviewJournal of advanced research2026

Programmable microbial therapeutics: advances in engineered bacteria for targeted in vivo delivery and precision medicine.

Lu Zhao, Jiaoyu Xin, Mingyang Hu, Chenyu Xue, Na Dong

Abstract readReview
In one paragraph

Review in Journal of advanced research, 2026. 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.

  1. Review
  2. Review
  3. Gut microbiota in health and disease.Molecular biomedicine · 2026
    Review
  4. Letter to the Editor: Deciphering macrophage heterogeneity and optimizing probioticsWorld journal of gastrointestinal pharmacology and therapeutics · 2026
    Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
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.

Lu ZhaoLaboratory of Molecular Nutrition and Immunity, College of Animal Science and Technology, Northeast Agricultural University, Harbin, PR China.
Jiaoyu XinLaboratory of Molecular Nutrition and Immunity, College of Animal Science and Technology, Northeast Agricultural University, Harbin, PR China.
Mingyang HuLaboratory of Molecular Nutrition and Immunity, College of Animal Science and Technology, Northeast Agricultural University, Harbin, PR China.
Chenyu XueLaboratory of Molecular Nutrition and Immunity, College of Animal Science and Technology, Northeast Agricultural University, Harbin, PR China. Electronic address: cyxue@neau.edu.cn.
Na DongLaboratory of Molecular Nutrition and Immunity, College of Animal Science and Technology, Northeast Agricultural University, Harbin, PR China. Electronic address: ndong@neau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBioengineered bacteria have emerged as versatile, programmable platforms for in vivo drug delivery. By integrating gene editing, synthetic gene circuits, targeted surface modifications, and environment‑responsive triggers, these living vectors can home to specific tissues and dynamically release therapeutic molecules in response to local cues. Recent advances have demonstrated their potential across oncology, immunomodulation, infectious disease control, and inflammatory disorders, yet challenges in stability, biosafety, and regulatory approval remain. AIM OF REVIEW: This review synthesizes the latest developments in programmable microbial therapeutics, focusing on engineering strategies and delivery system designs that enhance precision, efficacy, and safety. We evaluate proof‑of‑concept applications in disease models and identify critical bottlenecks hindering clinical translation, with the goal of guiding future research toward robust, personalized microbial interventions. KEY SCIENTIFIC CONCEPTS OF REVIEW: This review centers on four main areas. First, programmable gene circuits and biosensors enable conditional drug release only when desired. Second, targeting strategies-such as adhesion molecules and microenvironmental cues-guide bacteria to disease sites. Third, delivery system designs (e.g., encapsulation and surface coating) improve bacterial survival and payload stability. Fourth, expression-optimization methods fine-tune therapeutic output levels. We also discuss biosafety measures like kill-switches and auxotrophy, and outline future directions including intelligent feedback loops, multifunctional circuits, and streamlined regulatory pathways.

Indexed as

BacteriaDrug Delivery SystemsPrecision MedicineAnimalsGenetic EngineeringHumansBioengineered bacteriaIn vivo deliveryPrecision medicineTargeted delivery

Identifiers

PMID41135875
PMCPMC13316436

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.