Evidence map›Paper›PMID 41155400›Full record

ReviewInternational journal of molecular sciences2025

Surrogate Biomarkers in Gene Therapy for Orphan Diseases: Validation, Application, and Regulatory Aspects.

Aisylu I Ayupova, Valeriya V Solovyeva, Shaza S Issa, Haidar J Fayoud, Albert A Rizvanov

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. 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

5 authors.

Aisylu I AyupovaInstitute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420008, Russia.
Valeriya V SolovyevaInstitute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420008, Russia.ORCID 0000-0002-8776-3662
Shaza S IssaDepartment of Genetics and Biotechnology, St. Petersburg State University, St. Petersburg 199034, Russia.ORCID 0000-0002-1690-0199
Haidar J FayoudDepartment of Genetics and Biotechnology, St. Petersburg State University, St. Petersburg 199034, Russia.ORCID 0000-0002-7543-2655
Albert A RizvanovInstitute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420008, Russia.ORCID 0000-0002-9427-5739

Funding

Ministry of Science and Higher Education of the Russian Federation This paper has been supported by the Kazan Federal University Strategic Academic Leadership Program (PRIORITY-2030).
6 · The paper itself

Abstract

The development of gene therapies for rare hereditary disorders is hindered by small patient cohorts, incomplete characterization of natural disease history, and the impracticality of conducting long-term clinical trials. Surrogate biomarkers-quantifiable indicators predictive of clinical outcomes-represent a promising strategy to accelerate the evaluation of therapeutic efficacy. This review examines the role of surrogate endpoints in gene therapy, outlining essential validation criteria, including biological plausibility, analytical reproducibility, and clinical predictive value. Regulatory frameworks governing surrogate markers in the United States, European Union, Russia, Japan, China, and Canada are compared, with emphasis on mechanisms for expedited or conditional approval. Challenges associated with biomarker validation and extrapolation in the context of rare diseases are discussed, alongside future perspectives that integrate multi-omics technologies and artificial intelligence to enhance biomarker discovery and facilitate regulatory acceptance.

Indexed as

BiomarkersGenetic TherapyRare DiseasesHumansReproducibility of ResultsBiomarkersbiomarkershereditary diseasessurrogate endpoints

Identifiers

PMID41155400
PMCPMC12563428

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.