Evidence map›Paper›PMID 38013928›Full record

ArticleMethods in microbiology2022

CRISPR use in diagnosis and therapy for COVID-19.

Pallavi Deol, Aashwina Madhwal, Gaurav Sharma, Rahul Kaushik, Yashpal Singh Malik

Open access · greenAbstract read
In one paragraph

Article in Methods in microbiology, 2022. 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
4.5field-weighted citation impact, top 5% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
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  4. 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

5 authors at 3 institutions in 2 countries.

Pallavi DeolVirology Lab, Centre for Animal Disease Research and Diagnosis, ICAR-Indian Veterinary Research Institute, Bareilly, India.
Aashwina MadhwalDivision of Pathology, ICAR-Indian Veterinary Research Institute, Bareilly, India.
Gaurav SharmaVirology Lab, Centre for Animal Disease Research and Diagnosis, ICAR-Indian Veterinary Research Institute, Bareilly, India.
Rahul KaushikLaboratory for Structural Bioinformatics, Center for Biosystems Dynamics Research, RIKEN, Yokohama, Japan.
Yashpal Singh MalikCollege of Animal Biotechnology, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, India.
Indian Veterinary Research Institute · INGuru Angad Dev Veterinary and Animal Sciences University · INRIKEN Center for Biosystems Dynamics Research · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the beginning of the COVID-19 pandemic, many diagnostic approaches (RT-qPCR, RAPID, LFA) have been adopted, with RT-qPCR being the most popular/gold standard. But, one of the major problems of COVID-19 diagnostics is the presentation of a wide range of symptoms which varies among different patients and needs early diagnosis for better management. Even though RT-qPCR is a precise molecular technique false negative results may be obtained. On the other hand, CRISPR-based SARS-CoV-2 detection approaches are cost and time efficient, highly sensitive and specific, and do not require sophisticated instruments. Moreover, they also show promise for increased scalability and diagnostic tests can be carried out at the point-of-care (POC). The CRISPR can be customized to the target of any genomic region of interest within the desired genome possessing a broad range of other applications and has been efficiently implemented for diagnosis of SARS-CoV-2. The CRISPR/Cas systems provide the specific gene targeting with immense potential to develop new generation diagnostics and therapeutics. Moreover, with the CRISPR/Cas based therapeutics, multiplexing is possible, where different sgRNAs or crRNAs can be guided to more than one target within the same gene thus decreasing the possibility of viral escape mutants. As an exceptionally efficient tool CRISPR/Cas13 and CARVER (Cas13-assisted restriction of viral expression and readout) systems can be implemented to target a broad range of ssRNA viruses that can be used for both, diagnosis and treatment for a variety of viral diseases including SARS-CoV-2. However, the efficacy and safety of the CRISPR-based therapeutics needs to be assessed in pre-clinical and clinical settings. Although the CRISPR biotechnologies are not very helpful to control the present pandemic of COVID-19 it is hopeful that the limitations of the CRISPR/Cas system can be overcome in the near future. The CRISPR based strategies may lead to a new era in the field of disease diagnosis and therapeutic development that would make us better prepared for future viral threats.

Indexed as

COVID-19CRISPR/CasDiagnosisSARS-CoV-2Therapeutics

Identifiers

PMID38013928
PMCPMC9073596
OpenAlexW4285273484

What OpenQuestion holds

Textmetadata
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.