Evidence map›Paper›PMID 41847150›Full record

ReviewSynthetic and systems biotechnology2026

Advances in detecting category A biothreat agents: Toward symptom-driven sensing strategies.

Ruilin Li, Yongzhong Zhang, Qiuyu Fu, Chao Zhao, Shaotong Ren, Rui Zhong, Song Bai

Abstract readReview
In one paragraph

Review in Synthetic and systems biotechnology, 2026. 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

7 authors.

Ruilin LiSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China.
Yongzhong ZhangSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China.
Qiuyu FuSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China.
Chao ZhaoSchool of Synthetic Biology and Biomanufaturing, State Key Laboratory of Synthetic Biology, Center for Biosafety Research and Strategy, Tianjin University, Tianjin, 300072, China.
Shaotong RenSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China.
Rui ZhongSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China.
Song BaiSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rise of emerging technologies like synthetic biology and artificial intelligence has raised alarms about new forms of weaponized diseases, given their threat to life and societal economic burden. This underscores the critical role of developing sensor technologies for countermeasures. This review focuses on the latest biosensing platforms for Category A biothreat agents, summarizing their diagnostic targets and innovative methods for process optimization and signal amplification. We also examine the clinical progression and symptomatic characteristics associated with these agents. Our goal is to establish a systematic link between sensor technology and clinical application, ultimately supporting research on medical resource allocation for bioterrorism, epidemics, and public health.

Indexed as

BiosensorBioterrorismDetectionDiagnosticPandemicPublic healthSensing strategies

Identifiers

PMID41847150
PMCPMC12990344

What Socratic holds

Textmetadata
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 Socratic graph.