Evidence map›Paper›PMID 40593148›Full record

ReviewCommunications medicine2025

Recent advances in CRISPR-based single-nucleotide fidelity diagnostics.

K A V Kohabir, E A Sistermans, R M F Wolthuis

Abstract readReview
In one paragraph

Review in Communications medicine, 2025. 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
–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

14 citing papers in PubMed.

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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.

K A V KohabirDepartment of Human Genetics, Amsterdam UMC-Locatie Vrije Universiteit, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-1124-0670
E A SistermansDepartment of Human Genetics, Amsterdam UMC-Locatie Vrije Universiteit, Amsterdam, The Netherlands.
R M F WolthuisDepartment of Human Genetics, Amsterdam UMC-Locatie Vrije Universiteit, Amsterdam, The Netherlands. r.wolthuis@amsterdamumc.nl.ORCID http://orcid.org/0000-0002-3109-1588

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate point-of-care (PoC) detection of single nucleotide variants (SNVs) can support rapid and cost-effective clinical decision-making in tasks such as diagnosing pathogenic genetic variants, identifying pathogen resistance, or tracing viral lineage differentiation. Traditional nucleic acid diagnostics involving PCR and sequencing lack PoC applicability. CRISPR-based diagnostics (CRISPRdx) offer the necessary operational simplicity and ability to integrate specific nucleic acid sequence detection with isothermal amplification. However, achieving single-nucleotide fidelity is not self-evident and often requires empirical optimization. This Review explores recent strategics aimed at refining CRISPRdx specificity for SNV detection including various ways of tactical guide RNA (gRNA) design, fine-tuned effector selection, and improved reaction conditions. While the approaches described here are functional and can be occasionally combined, they often require optimizations to support specific clinical aims. Looking ahead, leveraging computational and AI tools for gRNA design, and harnessing newly discovered CRISPR systems, will broaden applicability and improve precision detection of CRISPRdx in diverse clinical settings.

Identifiers

PMID40593148
PMCPMC12219407

What OpenQuestion holds

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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.