Evidence map›Paper›PMID 40336836›Full record

ReviewFrontiers in microbiology2025

Innovative applications and research advances of bacterial biosensors in medicine.

Mengting Liu, Wenjie Yang, Wenqi Zhu, Daojun Yu

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Light force-powered cellular medical micromachines.Frontiers in bioengineering and biotechnology · 2026
    Review
  4. Review
  5. Recent Developments onFoods (Basel, Switzerland) · 2025
    Review
  6. 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

4 authors.

Mengting LiuThe Fourth School of Clinical Medicine, Zhejiang Chinese Medical University (Hangzhou First People's Hospital), Hangzhou, China.
Wenjie YangThe Fourth School of Clinical Medicine, Zhejiang Chinese Medical University (Hangzhou First People's Hospital), Hangzhou, China.
Wenqi ZhuAffiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.
Daojun YuThe Fourth School of Clinical Medicine, Zhejiang Chinese Medical University (Hangzhou First People's Hospital), Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The demand for early disease detection, treatment monitoring, and personalized medicine is increasing, making it more imperative than ever to create effective, accurate, portable, intelligent, multifunctional diagnostic equipment. Bacteria possess a remarkable perception of their surroundings and have the capacity to adapt by altering the expression of specific genes. Bacteria interact with target substances and produce detectable signals in response to their presence or concentration. This unique property has been harnessed in the development of bacterial biosensors. Due to groundbreaking advancements in synthetic biology, genetic engineering now enables the creation of bacteria tailored with exceptional detecting traits. In addition to meeting a wide range of application needs, this allows quick and precise detection in intricate settings and offers a strong technological basis for early disease diagnosis and treatment monitoring. This article reviews the applications and recent advancements of bacterial biosensors in the medical field and discusses the challenges and obstacles that remain in their research and application.

Indexed as

bacteriabiosensorsdisease diagnosispersonalized medicinereal-time monitoring

Identifiers

PMID40336836
PMCPMC12055861

What OpenQuestion holds

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LicenceCC BY
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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.