Evidence map›Paper›PMID 36762838›Full record

ArticleACS nano2023

Bioinspired CRISPR-Mediated Cascade Reaction Biosensor for Molecular Detection of HIV Using a Glucose Meter.

Ziyue Li, Naoki Uno, Xiong Ding, Lori Avery, David Banach, Changchun Liu

Open access · greenAbstract read
In one paragraph

Article in ACS nano, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
8.6field-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

24 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Bioinspired functional materials for biomedical applications.Frontiers in bioengineering and biotechnology · 2026
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Palm-Sized Lab-In-A-Magnetofluidic Tube Platform for Rapid and Sensitive Virus Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  18. Article
  19. Review
  20. The Current Situation and Development Prospect of Whole-Genome Screening.International journal of molecular sciences · 2024
    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 at 2 institutions in 1 country.

Ziyue LiDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, Connecticut 06030, United States.ORCID 0000-0002-5040-6696
Naoki UnoDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, Connecticut 06030, United States.ORCID 0000-0003-4138-7312
Xiong DingDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, Connecticut 06030, United States.
Lori AveryDepartment of Pathology and Laboratory Medicine, University of Connecticut Health Center, Farmington, Connecticut 06030, United States.
David BanachDepartment of Medicine, Division of Infectious Diseases, University of Connecticut Health Center, Farmington, Connecticut 06030, United States.ORCID 0000-0003-4429-7750
Changchun LiuDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, Connecticut 06030, United States.ORCID 0000-0002-4931-986X
UConn Health · USUniversity of Connecticut · US

Funding

Asymmetric CRISPR Approach for Nucleic Acid QuantificationR01EB023607 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Changchun Liu · 2017 to 2026
$2.4M
Self-Powered Sample Concentrating and CRISPR-based Biosensing for Moile HIV-1 RNA DetectionR33AI154642 · NIAID · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LIU, CHANGCHUN · 2023 to 2024
$1.6M
Self-Powered Sample Concentrating and CRISPR-based Biosensing for Moile HIV-1 RNA DetectionR61AI154642 · NIAID · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LIU, CHANGCHUN · 2020 to 2022
$1.4M
NIAID NIH HHS R33 AI154642NIAID NIH HHS R61 AI154642NIBIB NIH HHS R01 EB023607
6 · The paper itself

Abstract

HIV molecular detection plays a significant role in early diagnosis and antiretroviral therapy for HIV patients. CRISPR technology has recently emerged as a powerful tool for highly sensitive and specific nucleic acid based molecular detection when used in combination with isothermal amplification. However, it remains a challenge to improve the compatibility of such a multienzyme reaction system for simple and sensitive molecular detection. Inspired by the multicompartment structures in a living cell, we present a nanoporous membrane-separated (compartmentalized), artificial, cascade reaction system to improve the compatibility of a CRISPR-mediated multienzyme reaction. We further integrated the multienzyme cascade reaction system with a microfluidic platform and glucose biosensing technology to develop a bioinspired, CRISPR-mediated cascade reaction (CRISPR-MCR) biosensor, enabling HIV molecular detection by a simple glucose meter, analogous to diabetes home testing. We applied the bioinspired CRISPR-MCR biosensor to detect HIV DNA and HIV RNA, achieving a detection sensitivity of 43 copies and 200 copies per test, respectively. Further, we successfully validated the bioinspired biosensor by testing clinical plasma samples of HIV, demonstrating its great application potential for point-of-care testing of HIV virus and other pathogens at home or in resource-limited settings.

Indexed as

Biosensing TechniquesHIV InfectionsClustered Regularly Interspaced Short Palindromic RepeatsDNAGlucoseHumansNucleic Acid Amplification TechniquesDNAGlucoseCRISPR-based nucleic acid detectionelectrochemical biosensorHIV molecular detectionmicrofluidic technologynanoporous membrane

Identifiers

PMID36762838
PMCPMC10198471
OpenAlexW4319826193

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.