Evidence map›Paper›PMID 39194596›Full record

ReviewBiosensors2024

CRISPR-Based Biosensors for Medical Diagnosis: Readout from Detector-Dependence Detection Toward Naked Eye Detection.

Kai Hu, Weihong Yin, Yunhan Bai, Jiarui Zhang, Juxin Yin, Qiangyuan Zhu, Ying Mu

Abstract readReview
In one paragraph

Review in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Rapid molecular detection ofFrontiers in bioengineering and biotechnology · 2025
    Article
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.

Kai HuState Key Laboratory of Industrial Control Technology, Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China.
Weihong YinState Key Laboratory of Industrial Control Technology, Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0002-3749-0010
Yunhan BaiState Key Laboratory of Industrial Control Technology, Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China.
Jiarui ZhangState Key Laboratory of Industrial Control Technology, Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China.
Juxin YinAcademy of Edge Intelligence, Hangzhou City University, Hangzhou 310015, China.ORCID 0000-0002-4271-5157
Qiangyuan ZhuState Key Laboratory of Industrial Control Technology, Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China.
Ying MuState Key Laboratory of Industrial Control Technology, Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0002-4322-2522

Funding

National Natural Science Foundation of China No.32071481Zhejiang Provincial Natural Science Foundation of China under Grant No. LQ22F010005
6 · The paper itself

Abstract

The detection of biomarkers (such as DNA, RNA, and protein) plays a vital role in medical diagnosis. The CRISPR-based biosensors utilize the CRISPR/Cas system for biometric recognition of targets and use biosensor strategy to read out biological signals without the employment of professional operations. Consequently, the CRISPR-based biosensors demonstrate great potential for the detection of biomarkers with high sensitivity and specificity. However, the signal readout still relies on specialized detectors, limiting its application in on-site detection for medical diagnosis. In this review, we summarize the principles and advances of the CRISPR-based biosensors with a focus on medical diagnosis. Then, we review the advantages and progress of CRISPR-based naked eye biosensors, which can realize diagnosis without additional detectors for signal readout. Finally, we discuss the challenges and further prospects for the development of CRISPR-based biosensors.

Indexed as

Biosensing TechniquesCRISPR-Cas SystemsBiomarkersHumansProteinsRNABiomarkersProteinsRNAbiosensorCRISPR/Cas systemmedical diagnosis

Identifiers

PMID39194596
PMCPMC11353133

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.