Evidence map›Paper›PMID 42990908›Full record

ReviewMolecular therapy. Advances2026

AAV serotype IVDs for patient selection in gene therapy development: Technical and regulatory considerations by ARDAT consortium.

Manuela Braun, Christel Ravesteijn-Verrijt, Philipp Schatz, Yanmei Lu, Sarra Seninet, Jon Giblin, John Millholland, Gurunadh Chichili, Fraser McBlane, Johannes Stanta and 2 more

Abstract readReview
In one paragraph

Review in Molecular therapy. Advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Manuela BraunBayer AG, Pharmaceuticals R&D, 13353 Berlin, Germany.
Christel Ravesteijn-VerrijtAstellas Pharma Europe B.V., 2333 BE Leiden, the Netherlands.
Philipp SchatzBayer AG, Pharmaceuticals R&D, 13353 Berlin, Germany.
Yanmei LuSangamo Therapeutics, Inc., Richmond, CA 94804, USA.
Sarra SeninetGenoSafe, 91002 Evry, France.
Jon GiblinAsphalion S.L., 08014 Barcelona, Spain.
John MillhollandBristol Myers Squibb, Princeton, NJ 08543, USA.
Gurunadh ChichiliAstellas Pharma Global Development, Northbrook, IL 60062, USA.
Fraser McBlaneNovartis, 4056 Basel, Switzerland.
Johannes StantaCelerion (GB) Ltd., BT9 6AD Belfast, UK.
Mimoun AzzouzUniversity of Sheffield, S102TN Sheffield, UK.
Christopher MannAsphalion SL, 08014 Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, most clinical trials for adeno-associated virus (AAV)-based gene therapy (GT) exclude patients with pre-existing anti-AAV antibodies (AAV Abs) due to potential impact on treatment efficacy and safety. Diagnostic regulations require sponsors to define pre-existing AAV Ab level cutoffs and validate patient selection assays before beginning clinical studies. In the absence of robust clinical outcome data early in development, sponsors often rely on thresholds derived from literature or preclinical studies, or default to assay detection limits. The transferability of these thresholds to actual clinical outcomes remains uncertain, leading sponsors to use conservative cutoffs to avoid costly revalidations and development delays. This may prevent some patients from accessing potentially beneficial treatments. We advocate for more flexible validation approaches based on current understanding of antibody characteristics and the commonly used assay formats. We propose an AAV serotype-specific

Indexed as

AAV serotype IVDadeno-associated virus gene therapyclinically relevant cutoffcompanion diagnosticin vitro diagnosticin vitro diagnostic regulationspatient selectionpre-existing antibodiesvalidation requirements

Identifiers

PMID42990908
PMCPMC13734834

What OpenQuestion holds

Textmetadata
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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.