Peripheral frataxin levels govern long-term clinical progression in Friedreich ataxia
Background Novel therapeutics for Friedreich ataxia employ diverse strategies to increase frataxin protein levels, and a better understanding of the relation to clinical outcomes could strengthen their use as pharmacodynamic markers, and potentially as surrogate endpoint in therapeutic development. An elaborate modelling framework was developed to evaluate the suitability of frataxin as a biomarker across assays, tissues and disease stages. Methods Frataxin levels generated previously through two distinct assay platforms and from two separate clinical cohorts: whole blood frataxin was measured by a lateral-flow immunoassay (LF cohort), and a triple-quadrupole LC-MS/MS method (TQ cohort), which enables separate quantification of mature frataxin (FXN-M) and erythrocyte-specific frataxin (FXN-E). Results were compared descriptively with control and heterozygous carriers, and several distinct modelling strategies were employed to correlate them with clinical function. Results Both cohorts represented the relevant disease spectrum, with minor differences in both genetic and clinical severity, which correlated with frataxin levels. Heterozygous carriers showed intermediate levels. Modelling confirmed the predictive value of frataxin across multiple clinical assessments, such as age of symptom onset, age at loss of ambulation and long-term progression. GAA1, the shorter repeat expansion, was confirmed as the dominant predictor of frataxin itself, and, in most situations, clinical function. Discussion and conclusion Although isoform biology and tissue-specific expression remain important considerations, peripheral frataxin quantification provides biologically grounded measure of the pathophysiology and disease progression, with strong potential for application in therapeutic trials. Frataxin is a valid clinical biomarker, and our findings support advancing its candidacy as a surrogate endpoint in Friedreich ataxia.
Authors
- Clementina Mesaros (ORCID: https://orcid.org/0000-0001-5117-2038)
- J. Chad Hoyle (ORCID: https://orcid.org/0000-0002-8727-6434)
- Antoine Duquette (ORCID: https://orcid.org/0000-0002-8313-4068)
- Lauren Seeberger
- G. Yoon
- Christian Rummey (ORCID: https://orcid.org/0000-0003-4911-911X)
- Richard H Roxburgh (ORCID: https://orcid.org/0000-0002-8930-7003)
- Shana E. McCormack (ORCID: https://orcid.org/0000-0002-1143-4459)
- Teerapat Rojsajjakul
- Ian A. Blair (ORCID: https://orcid.org/0000-0003-0366-8658)
- Kathy G. Mathews
- Louise A. Corben (ORCID: https://orcid.org/0000-0001-8767-4582)
- Susan Perlman (ORCID: https://orcid.org/0000-0002-7208-2418)
- George Wilmot (ORCID: https://orcid.org/0009-0006-1972-4780)
- Yina Dong
- Martin Bruce Delatycki
- Christopher M Gomez
- David R Lynch
- Theresa Zesiewicz
- Richard S Finkel
- S H Subramony
Institutions
- University of Iowa (US)
- St. Jude Children's Research Hospital (US)
- Children's Hospital of Philadelphia (US)
- Emory University (US)
- The University of Melbourne (AU)
- University of Toronto (CA)
- University of South Florida (US)
- UCLA Health (US)
- Auckland City Hospital (NZ)
- University of Florida (US)
- University of Chicago (US)
- Swiss Data Science Center (CH)
- Centre Hospitalier de l’Université de Montréal (CA)
- Murdoch Children's Research Institute (AU)
- The Ohio State University (US)
- University of Pennsylvania (US)
- University of Colorado Denver (US)
- Florida College (US)
Publication Details
- Journal
- BMJ Neurology Open
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1136/bmjno-2026-001561
- Primary Topic
- Genetic Neurodegenerative Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00