Evidence map›Paper›PMID 41977378›Full record

ReviewInternational journal of molecular sciences2026

Immune Toxicities in AAV Gene Therapy: Overview for Clinicians.

Shestruma Parajuli, Thomas Gallagher, Terence R Flotte

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2026. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Systemic AAV-hInternational journal of molecular sciences · 2026
    Article
  3. Review
  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

3 authors.

Shestruma ParajuliVirginia Tech Carilion School of Medicine, Roanoke, VA 24016, USA.
Thomas GallagherDepartment of Genetic and Cellular Medicine, UMass Chan Medical School, Worcester, MA 01655, USA.ORCID 0000-0001-6381-6902
Terence R FlotteDepartment of Genetic and Cellular Medicine, UMass Chan Medical School, Worcester, MA 01655, USA.ORCID 0000-0002-8255-0588

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene therapy using recombinant adeno-associated virus (rAAV) vectors has emerged as a transformative therapeutic modality for genetic disorders, demonstrating high transduction efficiency and a generally favorable safety profile during pre-clinical development. However, serious adverse events, including thrombotic microangiopathy, acute respiratory distress syndrome, hepatotoxicity, myocarditis, cytokine storm, and hemophagocytic lymphohistiocytosis, have been observed across multiple gene therapy clinical trials. Significant efforts have been made to understand the toxicities that cause these adverse events and clinical care for patients receiving gene therapies has evolved to mitigate their effects. These toxicities arise from a complex interplay between the innate and adaptive immune responses directed against the viral capsid and transgene products and are often compounded by pre-existing anti-AAV immunity. Immunomodulatory strategies have been developed to combat these responses to improve the long-term success of gene therapies, and this review provides clinicians managing gene therapy patients with an overview of mechanisms underlying AAV-associated immunotoxicities and a discussion of syndromes and mitigation strategies that have been reported in the clinical care of patients.

Indexed as

DependovirusGenetic TherapyGenetic VectorsAdaptive ImmunityAnimalsGene Therapy AgentsHumansImmunity, Innateadaptive immunityadeno-associated virus (AAV)gene therapyimmunomodulationimmunotoxicityinnate immunityneutralizing antibody

Identifiers

PMID41977378
PMCPMC13074052

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.