Evidence map›Paper›PMID 39744595›Full record

ReviewFrontiers in bioengineering and biotechnology2024

Research and application of intelligent diagnosis and treatment engineering bacteria.

Na Zhao, Junwei Chen, Jingtian Shi, Yan Gao, Lijing Li, Liyun Dong

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2024. 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. 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

6 authors.

Na ZhaoDepartment of Gynecology, Peking University First Hospital Ningxia Women and Children's Hospital, Yinchuan, Ningxia, China.
Junwei ChenSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Jingtian ShiDepartment of Pharmacy, Peking University First Hospital Ningxia Women and Children's Hospital, Yinchuan, Ningxia, China.
Yan GaoDepartment of Gynecology and Obstetrics, Yinchuan Second People's Hospital, Yinchuan, Ningxia, China.
Lijing LiDepartment of Gynecology, Peking University First Hospital Ningxia Women and Children's Hospital, Yinchuan, Ningxia, China.
Liyun DongDepartment of Gynecology, Peking University First Hospital Ningxia Women and Children's Hospital, Yinchuan, Ningxia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For over a century, scientists have been harnessing the therapeutic potential of bacteria in treating diseases. The advent of synthetic biology in recent years has propelled the development of genetically engineered bacteria with enhanced intelligence. These bacteria can autonomously detect environmental cues and relay them to pivotal promoters, leading to the expression of functional proteins. By utilizing modular components, they are capable of executing a range of functions, including sensing, transmitting, and outputting signals. Based on these principles, a series of intelligent diagnostic and therapeutic engineered bacteria have emerged. These bacteria are capable of targeting diseased sites, sensing disease-specific signals, and producing reporter and therapeutic drugs. Furthermore, the integration of intelligent diagnostic and therapeutic engineered bacteria with advanced technologies such as artificial intelligence, nanomaterials, and optics has paved the way for diverse clinical applications. Three critical stages are explored in this article, which include the selection of strains, the design of biosensing systems, and the planning of release strategies. The application of intelligent diagnosis and treatment engineering bacteria in metabolic diseases, inflammatory diseases, tumors and infectious diseases is reviewed.

Indexed as

biosensor systemengineering bacteriagenetic engineeringintelligent diagnosis and treatmentsynthetic biology

Identifiers

PMID39744595
PMCPMC11688493

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.