Evidence map›Paper›PMID 42831006›Full record

ReviewSynthetic and systems biotechnology2027

Advances and perspectives in genetically encoded biosensors for biomarker detection and theranostic circuits.

Jianping Xu, Qingsheng Qi, Qian Wang

Abstract readReview
In one paragraph

Review in Synthetic and systems biotechnology, 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jianping XuNational Glycoengineering Research Center, Shandong University, Qingdao, 266237, PR China.
Qingsheng QiState Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, PR China.
Qian WangNational Glycoengineering Research Center, Shandong University, Qingdao, 266237, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective biomarker detection is critical for timely and accurate clinical disease diagnosis. However, conventional analytical methodologies are often constrained by laborious procedures, reliance on specialized equipment, and an inherent inability to perform continuous in situ monitoring. To circumvent these limitations, synthetic biology has pioneered the development of genetically encoded biosensors as a rapid, highly sensitive, and cost-effective alternative. This review specifically focuses on transcriptional regulation-based biosensors, primarily those utilizing allosteric transcription factors (aTFs) and two-component systems (TCSs). By integrating these regulatory sensing modules into engineered microbial chassis, researchers can achieve continuous, real-time biomarker monitoring even within complex and otherwise inaccessible physiological environments. This review particularly focuses on microbial chassis rather than mammalian systems due to their highly tractable genetics, rapid response kinetics, and their unique potential to be deployed as autonomous living probiotics for in situ theranostics. Furthermore, coupling these sensors with engineered actuator genes enables the construction of intelligent therapeutic genetic circuits. This closed-loop theranostic paradigm facilitates simultaneous, real-time diagnosis and autonomous, localized therapeutic interventions, paving the way for personalized and dose-adaptive precision medicine. Finally, we summarize recent advancements in these biosensor platforms, explore their applications in targeted disease interventions, and discuss the contemporary challenges alongside future perspectives for their clinical translation.

Indexed as

Biomarker detectionEngineered probioticsGenetically encoded biosensorsSynthetic biologyTheranostic circuits

Identifiers

PMID42831006
PMCPMC13634291

What Socratic holds

Textmetadata
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.