Evidence map›Paper›PMID 41521358›Full record

ReviewCurrent HIV/AIDS reports2026

CRISPR Applications in HIV Management - Prevention, Diagnosis, Monitoring and Treatment.

Bárbara S Marques, Carla Vitorino, Fátima V Ventura

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current HIV/AIDS reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Bárbara S MarquesFaculty of Pharmacy, University of Coimbra, Coimbra, Portugal.
Carla VitorinoFaculty of Pharmacy, University of Coimbra, Coimbra, Portugal. csvitorino@ff.uc.pt.
Fátima V VenturaMedicines Evaluation Department, National Authority of Medicines and Health Products (INFARMED), Lisbon, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite global efforts to combat the human immunodeficiency virus (HIV) epidemic, acquired immunodeficiency syndrome (AIDS) still claims one life every minute, underscoring the persistent need for improved control strategies. Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR)-associated protein (Cas) technologies have emerged as promising tools that may transform HIV management. The objective of this review is to summarise recent advancements in CRISPR/Cas-based approaches for HIV prevention, diagnosis, monitoring, and treatment, and to evaluate their potential and current challenges. A systematic literature search was conducted to identify relevant CRISPR/Cas applications in HIV infection. In prevention, CRISPR/Cas strategies aim to hinder viral integration and enhance host immune response, although substantial development is required before clinical translation. In diagnosis, CRISPR/Cas methods show high specificity and sensitivity, yet their reliance on specialised equipment and expertise limits their accessibility. In HIV monitoring, CRISPR/Cas-based methods have not yet demonstrated superiority over the quantitative PCR. In treatment, two ongoing clinical trials - one targeting a viral co-receptor on hematopoietic stem cells (HSCs) and the other excising proviral DNA - illustrate the potential of CRISPR/Cas-mediated cures, despite challenges such as low editing efficiency and off-target effects. Overall, CRISPR/Cas technologies hold considerable promise for advancing HIV management, but issues of accessibility, affordability, and scalability must be addressed to ensure global impact.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsGene EditingHIV InfectionsGenetic TherapyHumansAIDSCRISPR/CasGene editingHIVViral reservoirs

Identifiers

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.