Evidence map›Paper›PMID 39399398›Full record

ArticleJournal of nucleic acids2024

Dual Detection of Hepatitis B and C Viruses Using CRISPR-Cas Systems and Lateral Flow Assay.

Syeda Najidah Shahni, Sarah Albogami, Iqbal Azmi, Bijay Pattnaik, Rituparna Chaudhuri, Kapil Dev, Jawed Iqbal, Amit Sharma, Tanveer Ahmad

Abstract read
In one paragraph

Article in Journal of nucleic acids, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
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  5. 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

9 authors.

Syeda Najidah ShahniMultidisciplinary Centre for Advanced Research and Studies, Jamia Millia Islamia, New Delhi, India.ORCID https://orcid.org/0009-0007-2718-0565
Sarah AlbogamiDepartment of Biotechnology, College of Science, Taif University, Taif, Saudi Arabia.ORCID https://orcid.org/0000-0003-0774-5550
Iqbal AzmiMultidisciplinary Centre for Advanced Research and Studies, Jamia Millia Islamia, New Delhi, India.ORCID https://orcid.org/0000-0002-2011-1969
Bijay PattnaikDepartment Of Pulmanary Medicine and Sleep Disorders, All India Institute of Medical Sciences, New Delhi, India.ORCID https://orcid.org/0000-0003-3534-7410
Rituparna ChaudhuriMolecular and Cellular Neuroscience, Neurovirology Section, National Brain Research Centre (NBRC), Gurugram 122052, India.ORCID https://orcid.org/0000-0002-7450-5007
Kapil DevDepartment of Biotechnology, Jamia Millia Islamia, New Delhi, India.ORCID https://orcid.org/0000-0002-3995-2370
Jawed IqbalMultidisciplinary Centre for Advanced Research and Studies, Jamia Millia Islamia, New Delhi, India.ORCID https://orcid.org/0000-0003-1038-7061
Amit SharmaMultidisciplinary Centre for Advanced Research and Studies, Jamia Millia Islamia, New Delhi, India.ORCID https://orcid.org/0000-0002-3568-1569
Tanveer AhmadMultidisciplinary Centre for Advanced Research and Studies, Jamia Millia Islamia, New Delhi, India.ORCID https://orcid.org/0000-0002-8384-5273

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of sensitive and specific diagnostic tools for hepatitis B virus (HBV) and hepatitis C virus (HCV) remains crucial for effective disease management and control. In this study, we utilized CRISPR-Cas12 and CRISPR-Cas13 systems for the detection of HBV (DNA virus) and HCV (RNA virus), respectively. We designed and tested multiple guide RNAs (gRNAs) targeting both viruses, confirming successful cleavage of target sequences through gel electrophoresis and a fluorescent reporter assay. Using optimized gRNAs, we developed a lateral flow assay (LFA) for sensitive detection of HBV and HCV, demonstrating a concentration-dependent signal increase. Importantly, no cross-reactivity was observed with other viral targets. To further enhance sensitivity, we employed a dual-enzyme approach, combining Cas12 and Cas13 in a single reaction, which significantly improved detection limits for both viruses. Finally, we developed a dual antigen detection LFA strip capable of simultaneously detecting both HBV and HCV in a single sample. This approach holds promise for point-of-care (POC) diagnostics where the specific viral infection is unknown. This study addresses the current limitations in CRISPR-Cas based diagnostics, namely, the need for ultrasensitive detection methods and the ability to detect multiple antigens using a single test strip. Our findings demonstrate the feasibility of using CRISPR-Cas systems for highly sensitive and specific detection of HBV and HCV, paving the way for potential POC application.

Identifiers

PMID39399398
PMCPMC11470818

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Registered trials

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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.