To assess neurofilaments as neurodegenerative biomarkers in serum of patients with Friedreich’s ataxia.
Single molecule array measurements of neurofilament light (NfL) and heavy chain (pNfH) in 99 patients with genetically confirmed Friedreich’s ataxia. Correlation of NfL/pNfH serum levels with disease severity, disease duration, age, age at onset, and GAA repeat length.
Median serum levels of NfL were 21.2 pg/ml (range 3.6–49.3) in controls and 26.1 pg/ml (0–78.1) in Friedreich’s ataxia (p = 0.002). pNfH levels were 23.5 pg/ml (13.3–43.3) in controls and 92 pg/ml (3.1–303) in Friedreich’s ataxia (p = 0.0004). NfL levels were significantly increased in younger patients (age 16–31 years, p < 0.001) and patients aged 32–47 years (p = 0.008), but not in patients of age 48 years and older (p = 0.41). In a longitudinal assessment, there was no difference in NfL levels in 14 patients with repeated sampling 2 years after baseline measurement. Levels of NfL correlated inversely with GAA1 repeat length (r = − 0.24, p = 0.02) but not with disease severity (r = − 0.13, p = 0.22), disease duration (r = − 0.06, p = 0.53), or age at onset (r = 0.05, p = 0.62).
Serum levels of NfL and pNfH are elevated in Friedreich’s ataxia, but differences to healthy controls decrease with increasing age. Long-term longitudinal data are required to explore whether this reflects a selection bias from early death of more severely affected individuals or a slowing down of the neurodegenerative process with age. In a pilot study over 2 years of follow-up—a period relevant for biomarkers indicating treatment effects—we found NfL levels to be stable.
Friedreich’s ataxia is the most frequent type of autosomal recessive ataxia in the western world with a prevalence of about 1:36,000 . In most cases, it is caused by homozygous GAA repeat expansions in the first intron of the FXN gene that result in reduced levels of frataxin and in iron/sulfur clusters leading to disturbance of e. g. the respiratory chain . The progressive nature of Friedreich’s ataxia leads to continuous destruction of neurons with a focus on long fibre tracts in the spinal cord, causing progressive degeneration of dorsal root ganglia, posterior columns, sensory nerves, and corticospinal tracts . During this process, axonal cytoskeletal proteins are likely to be liberated into cerebral spinal fluid (CSF) and even into blood, in consequence of neuro-axonal injury. An integral component of the axonal cytoskeleton is neurofilament light chain (NfL) and phosphorylated neurofilament heavy chain (pNfH). These markers were recently shown to be increased in the cerebrospinal fluid of several progressive neurodegenerative diseases including amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD), Creutzfeldt–Jakob disease (CJD), and adult-onset leukoencephalopathy with axonal spheroids (ALSP) [4,5,6,7,8,9]. Most lately, ultrasensitive assays allow assessments of NfL and pNfH also in serum [10, 11].
Biomarkers reflecting degenerative processes are important for interventional trials that aim to slow disease progression. In Friedreich’s ataxia, frataxin protein level is used as a biomarker reflecting an early event in pathophysiology, as it was shown to be reduced in patients in consequence of the intronic repeat expansion leading to impaired transcription of the FXN gene . As lack of frataxin is thought to be the pathomechanism driving all further steps in the pathogenesis of Friedreich’s ataxia, several therapeutic approaches are aiming to increase transcription of the FXN gene. In these studies, frataxin levels are monitored to document treatment success [12, 13]. However, serum markers reflecting the degenerative aspects of the disease are missing.
Here, we assessed serum levels of NfL and pNfH in patients with Friedreich’s ataxia and healthy controls by ultrasensitive single molecule array (Simoa) [14, 15] using a cross-sectional and a longitudinal approach.
A total of 99 patients (median age 38 years, range 16–68) with genetically confirmed Friedreich’s ataxia were recruited through the European Friedreich’s Ataxia Consortium for Translational Studies (EFACTS). All patients carried GAA repeat expansions on both alleles. Repeat lengths of the shorter allele varied between 67 and 1167 GAA repeats and on the longer allele between 200 and 1500 repeats. We assessed clinical disease severity with the Scale for the Assessment and Rating of Ataxia (SARA), a validated score that allows to quantify an individuals’ degree of ataxia and ranges from 0 (no ataxia) to 40 points (most severe ataxia) . Age at onset was defined by first reported symptoms, and disease duration as the period between onset and time of sampling. In addition, 30 individuals (median age 48 years, range 18–68) were enrolled at the Department of Neurodegenerative Disorders, Hertie Institute for Clinical Brain Research, University Hospital Tübingen, as healthy controls. All controls were assessed by neurologists with special expertise in neurodegenerative diseases, ascertaining that none of them had a history or clinical signs of neurodegenerative disease or of any other major neurological disorder. The study has been approved by the institutional review board, and all subjects gave written informed consent prior to participation.
The biomaterial from Friedreich’s ataxia patients used in this study was provided by the centralized biomaterial bank of the medical faculty of the RWTH Aachen University (RWTH cBMB) and used in accordance with the biomaterial bank’s regulations and vote 206/09 of the ethics committee of the medical faculty of the RWTH Aachen University. Serum samples from healthy controls were provided by the biobank of the Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, and used in accordance with the biomaterial bank’s regulations and vote 199/2011BO1 of the ethics committee of the medical faculty of the University of Tübingen. Samples were frozen at − 80 °C within 90 min after collection, and analysed without any previous thaw–freeze cycle.
NfL concentrations were analysed by single molecule array (Simoa) assay as previously described . Inter-assay coefficients of variation (CV) for three native serum samples were 14.6%, 7.5%, and 2.1% for control samples with mean concentrations of 7.7 pg/ml, 22.6 pg/ml, and 77.4 pg/ml, respectively. The mean intra-assay CV of duplicate determinations for concentration was 3.7%. pNfH was quantified by a commercially available Kit (Quanterix) on the Simoa platform on a single run. The mean intra-assay CV of duplicate determinations for concentration was 9.5%.
Statistics were performed using nonparametric tests in bivariate analysis. Multiple regression models were used to assess dependency of NfL on age. Data in the results section report median and range, data in graphs represent median and 95% confidence interval (CI). Demographic data were compared using two-tailed Mann–Whitney test. For pNfH, the Mann–Whitney U test was used to compare values between patients and controls. A two-tailed Wilcoxon test was applied to compare paired data from longitudinal measurements in identical subjects. Correlation was assessed by computing Spearman r. One outlier was removed in the pNfH control group (pNfH = 346.1 pg/ml), by the robust regression and outlier removal (ROUT) method (Q = 0.1%) in GraphPad Prism 7. To assess a possible use of NfL measurements for diagnosis, an age-corrected ROC curve was constructed. This was done by first calculating a quadratic regression model for NfL dependent on age in the control group only. Second, the equation of this model was used to calculate predicted values of NfL for both, the control and the patient group. Third, the differences between observed and predicted values of NfL were calculated and used as continuous classificator in a ROC analysis. This led to the “age-corrected ROC curve”. Regression and ROC analyses were performed using SPSS 25 for Windows. All other analyses were performed with GraphPad Prism 7 for Mac.
Anonymized data will be shared on request of qualified investigators.
NfL and pNfH mark neuronal damage in Friedreich’s ataxia
To investigate whether serum NfL and pNfH might serve as biomarkers in Friedreich’s ataxia, we compared NfL serum levels between 30 healthy controls and 99 patients with Friedreich’s ataxia as well as pNfH serum levels in a subgroup of 9 controls and 20 patients. The median NfL concentration in controls was 21.15 pg/ml (range 3.6–49.3), while the concentration in Friedreich’s ataxia was significantly higher with 26.1 pg/ml (range 0–78.1; p = 0.002) (Fig. 1a). Similarly, pNfH levels were significantly elevated in patients compared to controls (controls 23.5 pg/ml, range 13.3–43.2; Friedreich’s ataxia 92 pg/ml, range 3.1–303; p = 0.0004) (Fig. 1b).
Controls (45.27 ± 14.11 years) were older than patients with Friedreich’s ataxia (38.37 ± 13.05 years; p = 0.02), but covered a comparable age range (controls 18–68 years, patients 16–68 years). Thus, age dependency of NfL was assessed in detail for both groups. In healthy individuals, there was a clear quadratic dependency of NfL on age (Fig. 2a, dashed line and Supplementary Figure S1a): in controls aged < 30 years, there was no increase of NfL with age. Between 30 and 50 years of age, there was a moderate increase and in the age range of 50–65, there was a steep increase (r-square linear model = 0.55, quadratic model 0.64, both p < 0.00001). In diseased subjects, no significant age dependency of NfL levels could be detected with a non-significant trend to a quadratic model (r-square linear model = 0.00, p = 0.90, quadratic model 0.05, p = 0.095). The area under the age-corrected ROC curve (cf. “Methods” section) was 0.78 (95% CI 0.69–0.86). Separate analysis within three equally sized strata of age (16–31 years, 32–47 years, 48–68 years) revealed areas under the ROC curve of 0.99 (CI 0.95–1.00, p < 0.001), 0.81 (0.70–0.92, p = 0.002) and 0.49 (0.28–0.70, p = 0.94). Thus, based on NfL measurements, there was an excellent classification in healthy or affected for younger individuals, a moderately good classification for middle aged individuals and no classification better than chance for older individuals.
Serum NfL is increased independently of disease severity, age at onset, and disease duration in Friedreich’s ataxia
We assessed serum NfL levels in correlation with disease severity as defined by the Scale for the Assessment and Rating of Ataxia (SARA) score. We found that serum NfL did not correlate with the SARA score (r = − 0.13, 95% CI − 0.32 to 0.08, n = 99; p = 0.22) (Fig. 3a). Similarly, there was no correlation between NfL concentration and age at onset (r = 0.05, 95% CI − 0.15 to 0.25, n = 99; p = 0.62) (Fig. 3b) or disease duration (r = − 0.06, 95% CI − 0.26 to 0.14, n = 99; p = 0.53) (Fig. 3c). In patients, there was a small, but significant inverse correlation between levels of NfL and the length of the smaller GAA repeat (allele 1) (r = − 0.24; 95% CI − 0.42 to − 0.03; n = 99, p = 0.02) (Fig. 3d), but not with the GAA repeat length in the larger allele (allele 2) (r = − 0.01; 95% CI − 0.21 to 0.20, n = 99; p = 0.95) (Fig. 3e).
Serum pNfH levels were measured in a subgroup of 20 patients that were selected a priori to represent moderately (SARA score 10–20) or severely affected (SARA score 30–40) individuals, to increase the visibility of potential differences from disease severity despite the small group size. Analogous to NfL, there was no correlation between pNfH level and SARA score (r = − 0.20, 95% CI − 0.60 to 0.28; n = 20, p = 0.41) (Supplementary Figure S2). Interestingly, there was even a tendency towards lower pNfH levels in more severely affected patients, albeit this tendency did not reach significance (SARA 10–20: 139.5 pg/ml, range 3.1–303, n = 10; SARA 30–40: 87.75 pg/ml, range 23.1–258.6, n = 10; p = 0.17) (Fig. 3f). pNfH also did not correlate with age, neither in controls nor in Friedreich’s ataxia patients (controls r = 0.10, p = 0.80, n = 9; patients r = − 0.11, 95% CI − 0.54 to 0.36, n = 20; p = 0.64) (Supplementary Figure S1c, d) or age at onset (r = 0.18, 95% CI − 0.30 to 0.59, n = 20; p = 0.44) (Fig. 3g). There were small, but non-significant correlations between pNfH concentration and disease duration (r = − 0.39, 95% CI − 0.72 to 0.08, n = 20; p = 0.09) (Fig. 3h) and also with GAA repeat length of allele 1 (r = − 0.32, 95% CI − 0.68 to 0.16, n = 20; p = 0.17), but not with repeat length of allele 2 (r = 0.06, 95% CI − 0.41 to 0.50, n = 20; p = 0.81) (Supplementary Figure S3).
Serum NfL remains stable over 2 years in Friedreich’s ataxia
To assess progression dynamics of NfL in Friedreich’s ataxia, we used a longitudinal approach in a group of 14 patients by measuring serum NfL at baseline (BL) and 2 years later (2FU). On individual level, we observed an increase of serum NfL in 9 of 14 patients (64.3%) while concentrations decreased in 4 patients (28.6%) and stayed the same in one patient (Fig. 4a). Overall, there was no significant change during the 2-year period (BL 27.5 pg/ml, range 5.3–53.1; 2FU 34.1 pg/ml, range 11–80.8; n = 14, p = 0.06) (Fig. 4a). While there was a significant increase in the SARA score over time (BL 21.7 points, range 6–32.5; 2FU 23.5 points, range 13.5–32.5, n = 14; p = 0.007) (Supplementary Figure S4), the individual dynamics of NfL (increase/decrease) did not match the dynamics of the SARA score (Fig. 4b), congruent to the lack of correlation between NfL levels and disease severity measured by SARA (see Fig. 3c).
This systematic analysis of neurofilament levels in Friedreich’s ataxia demonstrates that NfL and pNfH are significantly elevated in patients with Friedreich’s ataxia. Moreover, we explored possible age effects and could show that NfL levels are an excellent classifier for younger, but not for older patients. The difference we found in the amount of detected NfL between Friedreichs’s ataxia patients and controls compares well with other slowly progressing neurodegenerative diseases such as hereditary spastic paraplegia, Alzheimer’s disease, and spinocerebellar ataxia [17,18,19]. Levels are lower than in rapidly progressing neurodegenerative diseases such as ALS, FTD, CJD or ALSP [4,5,6,7, 9], most likely reflecting the slower decay of axons, with less neurofilament liberated into CSF and peripheral blood per unit of time.
On first glance, it may be surprising that neurofilament levels did not correlate with disease severity, age at onset or disease duration in Friedreich’s ataxia. However, the lack of correlation with disease duration is likely to reflect a rather linear and not exponential course of (axonal) degeneration in Friedreich’s ataxia.
Interestingly, NfL levels in Friedreich’s ataxia lack an age effect as it is observed in healthy controls (Supplementary Figures S1a, b) and well known from the literature . This may indicate that axonal degeneration does not increase with age in Friedreich’s ataxia, but takes place already earlier in life and runs with a continuous rate. The lack of age dependence of NfL levels in Friedreich’s ataxia may even reflect a decrease of the disease specific neurodegeneration with age if the normal age-dependent increase of NfL is taken into account. Alternatively, it reflects a selection bias from mortality that prevented patients with more aggressive courses of Friedreich’s ataxia to reach older age. In respect to therapeutic interventions, it therefore needs to be discussed if NfL is able to indicate the degenerative process of Friedreich’s ataxia in elder patients. Data from a more rapid neurodegenerative disorder, ALS, indicated that NfL levels decrease in later stages, probably because the majority of axons has been lost earlier .
A longitudinal assessment of NfL levels in Friedreich’s ataxia is still missing. Our study provides 2-year follow-up data in a small subsample, but did not show a significant change over a timespan that is relevant for interventional trials. In accordance, we found NfL levels to be similar in all disease stages concerning disease severity as well as disease duration.
We found an inverse correlation of NfL levels with GAA repeat length in the smaller allele indicating lower levels of NfL in patients with longer repeat expansions. This finding is difficult to interpret as larger repeat expansions go along with earlier onset in Friedreichs’ ataxia  and are supposed to lead to a more severe course of the disease that is expected to result—if anything—in higher levels of NfL. Since we did not find a correlation of NfL with age of onset or disease severity, we suggest to regard the correlation of GAA repeat length of allele 1 and NfL with caution and await its reproduction in an independent cohort.
pNfH is an integral part especially of large, myelinated axons, which are severely affected in Friedreich’s ataxia . To determine whether pNfH is advantageous over NfL, we performed additional pNfH measurements. Indeed, the elevation of pNfH in Friedreich’s ataxia was even more pronounced than the elevation of NfL, and showed only minimal overlap with the control group in our pilot study.
As NfH becomes phosphorylated post-translationally while being transported from the neuronal cell soma in the axon, the higher level of pNfH compared to NfL may reflect an imbalance between regenerative and degenerative processes in the nervous system and the effort to maintain axonal integrity [23,24,25].
Larger cohorts should be investigated in the future including longitudinal assessments of pNfH serum levels to confirm the more prominent elevation of pNfH and evaluate its potential as disease monitoring marker in Friedreich’s ataxia.
One limitation of this study is the limited number of controls and the age difference between patients and the control group. As NfL is well established to increase with age  (Figure S1a), age differences are likely to lead to an underestimate of group differences in our study. However, similar data have been obtained from a recent pilot study with a small group of patients and age-matched controls . As our study was limited to patients older than 16 years of age, it will be of interest to investigate a younger group of patients with longer repeats and shorter disease duration.
In conclusion, we propose NfL and pNfH as new biomarkers that reflect the neurodegenerative process in long fibre tracts in Friedreich’s ataxia. Long-term longitudinal data are required to explore whether the approximation of NfL levels between the Friedreich group and healthy controls with increasing age reflects a selection bias from early death of more severely affected patients or a slowing down of the neurodegenerative process in Friedreich’s ataxia over the course of disease. Our study proposes neurofilaments as potential biomarkers for the assessment of neurodegeneration in interventional trials that aim to slow down disease activity in Friedreich’s ataxia.
Epplen C, Epplen JT, Frank G et al (1997) Differential stability of the (GAA)(n) tract in the Friedreich ataxia (STM7) gene. Hum Genet 99:834–836. https://doi.org/10.1007/s004390050458
Campuzano V, Montermini L, Molto MD et al (1996) Friedreich’ s ataxia: autosomal recessive disase caused by an intronic GAA triplet repeat expansion. Science 271(80):1423–1427
Koeppen AH, Mazurkiewicz JE (2013) Friedreich ataxia: Neuropathology revised. J Neuropathol Exp Neurol 72:78–90
Menke RAL, Gray E, Lu C-H et al (2015) CSF neurofilament light chain reflects corticospinal tract degeneration in ALS. Ann Clin Transl Neurol 2:748–755. https://doi.org/10.1002/acn3.212
Steinacker P, Blennow K, Halbgebauer S et al (2016) Neurofilaments in blood and CSF for diagnosis and prediction of onset in Creutzfeldt-Jakob disease. Sci Rep. https://doi.org/10.1038/srep38737
Scherling CS, Hall T, Berisha F et al (2014) Cerebrospinal fluid neurofilament concentration reflects disease severity in frontotemporal degeneration. Ann Neurol 75:116–126. https://doi.org/10.1002/ana.24052
Ganesalingam J, An J, Bowser R et al (2013) PNfH is a promising biomarker for ALS. Amyotroph Lateral Scler Front Degener 14:146–149. https://doi.org/10.3109/21678421.2012.729596
Khalil M, Teunissen CE, Otto M et al (2018) Neurofilaments as biomarkers in neurological disorders. Nat Rev Neurol 14(10):577–589. https://doi.org/10.1038/s41582-018-0058-z
Hayer SN, Krey I, Barro C et al (2018) NfL is a biomarker for adult-onset leukoencephalopathy with axonal spheroids and pigmented glia. Neurology 91:755–757. https://doi.org/10.1212/WNL.0000000000006357
McCombe PA, Pfluger C, Singh P et al (2015) Serial measurements of phosphorylated neurofilament-heavy in the serum of subjects with amyotrophic lateral sclerosis. J Neurol Sci 353:122–129. https://doi.org/10.1016/j.jns.2015.04.032
Disanto G, Barro C, Benkert P et al (2017) Serum Neurofilament light: a biomarker of neuronal damage in multiple sclerosis. Ann Neurol 81:857–870. https://doi.org/10.1002/ana.24954
Boesch S, Sturm B, Hering S et al (2007) Friedreich’s ataxia: clinical pilot trial with recombinant human erythropoietin. Ann Neurol 62:521–524. https://doi.org/10.1002/ana.21177
Libri V, Yandim C, Athanasopoulos S et al (2014) Epigenetic and neurological effects and safety of high-dose nicotinamide in patients with Friedreich’s ataxia: an exploratory, open-label, dose-escalation study. Lancet 384:504–513. https://doi.org/10.1016/S0140-6736(14)60382-2
Kuhle J, Barro C, Andreasson U et al (2016) Comparison of three analytical platforms for quantification of the neurofilament light chain in blood samples: ELISA, electrochemiluminescence immunoassay and Simoa. Clin Chem Lab Med 54:1655–1661. https://doi.org/10.1515/cclm-2015-1195
Rissin DM, Kan CW, Campbell TG et al (2010) Single-molecule enzyme-linked immunosorbent assay detects serum proteins at subfemtomolar concentrations. Nat Biotechnol. https://doi.org/10.1038/nbt.1641
Schmitz-Hübsch T, du Montcel ST, Baliko L et al (2006) Scale for the assessment and rating of ataxia: development of a new clinical scale. Neurology 66:1717–1720. https://doi.org/10.1212/01.wnl.0000219042.60538.92
Wilke C, Bender F, Hayer SN et al (2018) Serum neurofilament light is increased in multiple system atrophy of cerebellar type and in repeat-expansion spinocerebellar ataxias: a pilot study. J Neurol. https://doi.org/10.1007/s00415-018-8893-9
Wilke C, Rattay TW, Hengel H et al (2018) Serum neurofilament light chain is increased in hereditary spastic paraplegias. Ann Clin Transl Neurol. https://doi.org/10.1002/acn3.583
Preische O, Schultz SA, Apel A et al (2019) Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer’s disease. Nat Med 25:277–283. https://doi.org/10.1038/s41591-018-0304-3
Weydt P, Oeckl P, Huss A et al (2016) Neurofilament levels as biomarkers in asymptomatic and symptomatic familial amyotrophic lateral sclerosis. Ann Neurol. https://doi.org/10.1002/ana.24552
Schöls L, Amoiridis G, Przuntek H et al (1997) Friedreich’s ataxia Revision of the phenotype according to molecular genetics. Brain. https://doi.org/10.1093/brain/120.12.2131
Elder GA, Friedrich VL, Kang C et al (1998) Requirement of heavy neurofilament subunit in the development of axons with large calibers. J Cell Biol. https://doi.org/10.1083/jcb.143.1.195
Petzold A, Thompson EJ, Keir G et al (2009) Longitudinal one-year study of levels and stoichiometry of neurofilament heavy and light chain concentrations in CSF in patients with multiple system atrophy. J Neurol Sci 279:76–79. https://doi.org/10.1016/j.jns.2008.12.037
Gaetani L, Blennow K, Calabresi P et al (2019) Neurofilament light chain as a biomarker in neurological disorders. J Neurol Neurosurg Psychiatry. https://doi.org/10.1136/jnnp-2018-320106
Yuan A, Rao MV, Veeranna NRA (2017) Neurofilaments and neurofilament proteins in health and disease. Cold Spring Harb Perspect Biol. https://doi.org/10.1101/cshperspect.a018309
Vågberg M, Norgren N, Dring A et al (2015) Levels and age dependency of neurofilament light and glial fibrillary acidic protein in healthy individuals and their relation to the brain parenchymal fraction. PLoS ONE 10:1–8. https://doi.org/10.1371/journal.pone.0135886
Zeitlberger AM, Thomas-Black G, Garcia-Moreno H et al (2018) Plasma markers of neurodegeneration are raised in Friedreich’s ataxia. Front Cell Neurosci. https://doi.org/10.3389/fncel.2018.00366
Open Access funding provided by Projekt DEAL. The authors are grateful to the Biobank of the Hertie Institute for Clinical Brain Research (HIH), University of Tübingen (hih-tuebingen.de/en/), for the provision of serum and CSF samples from healthy controls and for the generous support of Christian Deuschle and Claudia Schulte. The Biobank is supported by the local university, the Hertie Institute for Clinical Brain Research, and the German Center for Neurodegenerative Diseases (DZNE). SNH, CW, and LS are members of the European Reference Network for Rare Neurological Diseases—Project ID No 739510.
Conflicts of interest
The authors declare that they have no conflict of interest.
All human studies have been approved by the appropriate ethics committee and have been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. All persons gave their informed consent prior to their inclusion in the study.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Appendix 1: Authors
|Stefanie N. Hayer||University of Tuebingen, Germany||Author|
|Inga Liepelt||University of Tuebingen, Germany||Author|
|Christian Barro||University of Basel, Switzerland||Author|
|Carlo Wilke||University of Tuebingen, Germany||Author|
|Jens Kuhle||University of Basel, Switzerland||Author|
|Peter Martus||University of Tuebingen, Germany||Author|
|Ludger Schöls||University of Tuebingen, Germany||Author|
Appendix 2: Co-investigators of the European Friedreich’s Ataxia Consortium for Translational Studies (EFACTS)
|Schulz, Jörg Bernhard||Department of Neurology, RWTH Aachen University; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH and RWTH Aachen University, Germany||Principle investigator, Program coordinator|
|Reetz, Kathrin||Department of Neurology, RWTH Aachen University; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH and RWTH Aachen University, Germany||Site investigator|
|Fedosov, Kathrin||Department of Neurology, RWTH Aachen University, Germany||Database oversight|
|Didszun, Claire||Department of Neurology, RWTH Aachen University, Germany||Database oversight|
|Klockgether, Thomas||Department of Neurology, University Hospital of Bonn; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany||Principle investigator|
|Giordano, Ilaria||Department of Neurology, University Hospital of Bonn; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany||Site investigator|
|Pandolfo, Massimo||Laboratory of Experimental Neurology, Université Libre de Bruxelles, Brussels, Belgium||Principle investigator|
|Depondt, Chantal||Laboratory of Experimental Neurology, Université Libre de Bruxelles, Brussels, Belgium||Site investigator|
|Rai, Myriam||Laboratory of Experimental Neurology, Université Libre de Bruxelles, Brussels, Belgium||Genetics|
|Boesch, Sylvia||Department of Neurology, Medical University Innsbruck, Austria||Principle investigator|
|Nachbauer, Wolfgang||Department of Neurology, Medical University Innsbruck, Austria||Site investigator|
|Eigentler, Andreas||Department of Neurology, Medical University Innsbruck, Austria||Site investigator|
|Indelicato, Elisabetta||Department of Neurology, Medical University Innsbruck, Austria||Site investigator|
|Giunti, Paola||Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK||Principal investigator|
|Parkinson, Michael||Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK||Site investigator|
|Manso, Katarina||Ataxia Centre, Department of Movement and Clinical Neurosciences, Institute of Neurology, University College London, London, UK||Research nurse|
|Thomas-Black, Gilbert||Ataxia Centre, Department of Movement and Clinical Neurosciences, Institute of Neurology, University College London, London, UK||Site investigator|
|Garcia-Moreno, Hector||Ataxia Centre, Department of Movement and Clinical Neurosciences, Institute of Neurology, University College London, London, UK||Site investigator|
|Solanky, Nita||Site investigator|
|Abeti, Rosella||Site investigator|
|Polke, James||Laboratory of Neurogenetic The National Hospital for Neurology and Neurosurgery NHNN/UCLH Queen Square WC1N 3BG London UK||Site investigator|
|Labrum, Robin||Laroratory of Neurogenetic The National Hospital for Neurology and Neurosurgery NHNN/UCLH Queen Square WC1N 3BG London UK||Site investigator|
|Rodríguez de Rivera Garrido, Francisco Javier||Reference Unit of Hereditary Ataxias and Paraplegias, Department of Neurology, IdiPAZ, Hospital Universitario La Paz, Madrid, Spain||Principle investigator|
|Mascias, Javier||Reference Unit of Hereditary Ataxias and Paraplegias, Department of Neurology, IdiPAZ, Hospital Universitario La Paz, Madrid, Spain||Site investigator|
|Sánchez Velasco, Sara||Reference Unit of Hereditary Ataxias and Paraplegias, Department of Neurology, IdiPAZ, Hospital Universitario La Paz, Madrid, Spain||Site investigator|
|Secades García, Sergio||Site investigator|
|Mariotti, Caterina||Unit of Medical Genetics and Neurogenetics, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy||Principal investigator|
|Nanetti, Lorenzo||Unit of Medical Genetics and Neurogenetics, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy||Site investigator|
|Castaldo, Anna||Unit of Medical Genetics and Neurogenetics, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy||Site investigator|
|Mongelli, Alessia||Site investigator|
|Fichera, Mario||Site investigator|
|Klopstock, Thomas||Department of Neurology, Friedrich Baur Institute, University Hospital of the Ludwig-Maximilians-Universität München; German Center for Neurodegenerative Diseases (DZNE), Munich; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany||Principal investigator|
|Karin, Ivan||Department of Neurology, Friedrich Baur Institute, University Hospital of the Ludwig-Maximilians-Universität München, Munich, Germany||Site investigator|
|Stendel, Claudia||Department of Neurology, Friedrich Baur Institute, University Hospital of the Ludwig-Maximilians-Universität München, Munich, Germany||Site investigator|
|Radelfahr, Florentine||Department of Neurology, Friedrich Baur Institute, University Hospital of the Ludwig-Maximilians-Universität München, Munich, Germany||Site investigator|
|Durr, Alexandra||Institut du Cerveau et de la Moelle épinière, Sorbonne Université, INSERM U 1127, CNRS UMR 7225 and APHP, Pitié-Salpêtrière University Hospital, Genetic Department, Paris, France||Principal investigator|
|Biet, Marie||Institut du Cerveau et de la Moelle épinière, Sorbonne Université, INSERM U 1127, CNRS UMR 7225||Study coordinator|
|Charles, Perrine||Pitié-Salpêtrière University Hospital, Paris, France||Site investigator|
|Ewenczyk, Claire||Pitié-Salpêtrière University Hospital, Paris, France||Site investigator|
|Just, Jennifer||Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research & Center of Neurology, University of Tuebingen, Tuebingen, Germany||Site investigator|
Department of Neurology|
Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
|Walsh, Richard||NationalAtaxia Clinic, Department of Neurology, Adelaide & Meath Hospital Dublin, incorporating the National Children's Hospital, Dublin, Ireland||Principal investigator|
|Bertini, Enrico||Department of Neurosciences, Unit of Neuromuscular and Neurodegenerative Disorders, Bambino Gesu' Children's Research Hospital, IRCCS, Rome, Italy||Principal investigator|
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Cite this article
Hayer, S.N., Liepelt, I., Barro, C. et al. NfL and pNfH are increased in Friedreich’s ataxia. J Neurol 267, 1420–1430 (2020). https://doi.org/10.1007/s00415-020-09722-6
- Neurofilament light chain
- Friedreich’s ataxia
- Neurofilament heavy chain