Evidence map›Paper›PMID 37303825›Full record

ArticleSensors and actuators. B, Chemical2023

CRISPR-powered Biosensing Platform for Quantitative Detection of Alpha-fetoprotein by a Personal Glucose Meter.

Zhengyang Jia, Ziyue Li, Changchun Liu

Open access · greenAbstract read
In one paragraph

Article in Sensors and actuators. B, Chemical, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
7.1field-weighted citation impact, top 2% of its field
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

14 citing papers in PubMed, 46 citations in OpenAlex.

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  12. Fluorescent immunoassay for chloramphenicol based on the label-free polyadenine-mediated spherical nucleic acids triggered signal amplification.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
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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 at 1 institution in 1 country.

Zhengyang JiaDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT 06030, United States.
Ziyue LiDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT 06030, United States.
Changchun LiuDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT 06030, United States.
UConn Health · US

Funding

Asymmetric CRISPR Approach for Nucleic Acid QuantificationR01EB023607 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Changchun Liu · 2017 to 2026
$2.4M
NIBIB NIH HHS R01 EB023607
6 · The paper itself

Abstract

Alpha-fetoprotein (AFP) is an important protein biomarker of liver cancer, as its serum levels are highly correlated with the progression of disease. Conventional immunoassays for AFP detection rely on enzyme-linked immunosorbent assay analyses with expensive and bulky equipment. Here, we developed a simple, affordable, and portable CRISPR-powered personal glucose meter biosensing platform for quantitative detection of the AFP biomarker in serum samples. The biosensor takes advantage of the excellent affinity of aptamer to AFP and the collateral cleavage activity of CRISPR-Cas12a, enabling sensitive and specific CRISPR-powered protein biomarker detection. To enable point-of-care testing, we coupled invertase-catalyzed glucose production with the glucose biosensing technology to quantify AFP. Using the developed biosensing platform, we quantitatively detected AFP biomarker in spiked human serum samples with a detection sensitivity of down to 10 ng/mL. Further, we successfully applied the biosensor to detect AFP in clinical serum samples from patients with liver cancer, achieving comparable performance to the conventional assay. Therefore, this novel CRISPR-powered personal glucose meter biosensor provides a simple yet powerful alternative for detecting AFP and potentially other tumor biomarkers at the point of care.

Indexed as

alpha-fetoprotein detectionaptamerCRISPR-Cas12a assaypersonal glucose meterpoint-of-care diagnosis

Identifiers

PMID37303825
PMCPMC10249708
OpenAlexW4377030219

What OpenQuestion holds

Textmetadata
LicenceTDM
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.