Abstract
Background
The GM2 gangliosidoses (GM2) are ultra-rare neurodegenerative disorders caused by deficient hexosaminidase A and/or B activity, leading to lysosomal GM2 ganglioside accumulation. Disease onset ranges from infancy to adulthood, with earlier onset associated with more rapid progression. Neurofilament light chain (NfL), a sensitive marker of axonal injury, has been extensively investigated as a biomarker for neurodegenerative disorders, including GM2.
Methods
To evaluate its clinical utility as a biomarker for GM2, NfL was measured in patients with GM2 enrolled in a Phase 2b, multinational, rater-blinded study of levacetylleucine [NCT03759665], and in its open-label Extension Phase (EP).
Results
Nineteen participants had viable samples for NfL analysis at baseline, after six weeks of treatment, and after a six-week washout; 10 had samples in the long-term EP. After the initial 6-week treatment phase, NfL concentration declined a mean − 8.9% (SD 13%; p < 0.008), followed by a rebound of + 9.2% (SD 16.1%; p = 0.022) during the post-treatment 6-week washout. Changes in NfL correlated with the statistically significant and clinically meaningful changes captured on the primary Clinical Impression of Change in Severity (CI-CS), and secondary Scale for the Assessment and Rating of Ataxia (SARA) and Modified Disability Rating Scale (mDRS). In the EP, patients showed a mean NfL reduction of − 16.9% after 1 year (SD 15.0; p = 0.010) and − 33.5% after 2 years (SD 12.8; p < 0.001) of levacetylleucine treatment.
Conclusions
These findings support NfL as a promising surrogate outcome candidate for GM2 and link biochemical improvement with functional benefit, which is reasonably likely to predict both disease activity and treatment response/clinical benefit.
Keywords: GM2 gangliosidoses, Tay-Sachs disease, Sandhoff disease, Neurofilament light chain, Levacetylleucine, Biomarker
Introduction
Disease background
GM2 gangliosidoses (GM2) refer to progressive inherited neurodegenerative disorders caused by disease-causing variants in the HEXA or HEXB genes, which encode the alpha and beta subunits of β-hexosaminidase A, respectively, or in the GM2 activator gene (GM2A) that encodes the GM2 activator protein, a co-factor required for GM2 catabolism. Biallelic disease-causing variants in any of these 3 genes lead to storage of GM2 ganglioside in the central nervous system (CNS) with subsequent progressive neurodegeneration due to multiple processes such as apoptosis and inflammation causing synaptic loss and abnormal neuronal activity [1]. This results in a broad spectrum of neurological and psychiatric symptoms and premature death.
GM2 comprises a family of ultra-rare diseases (Tay-Sachs disease, Sandhoff disease, and AB Activator Variant), for which there is currently no approved disease-modifying therapy (in the United States or worldwide). Ultra-rare diseases have been defined as those affecting fewer than 1:50,000 people, or approximately 7000 people in the United States [2, 3]. Comparably, the global prevalences of Tay-Sachs and Sandhoff diseases have been estimated as 1 in 417,000–588,000 and 1 in 500,000–1,500,000 individuals, respectively [4, 5]. In terms of clinical trials, it has been recognized that within the ultra-rare disease rubric, many entities have so few patients that traditional trial designs and statistical methods are not feasible [6].
NfL as a biomarker in neurodegenerative disorders
Neurofilament light chain (NfL) is a neuronal cytoskeletal protein which is highly expressed in large caliber myelinated axons, where it forms part of the neuroaxonal scaffold [7]. Axonal degeneration or injury is a predominant feature of many neurodegenerative disorders that lead to most often irreversible impairment. In response to such damage, NfL is released into the extracellular space. Consequently, elevated NfL concentrations in the cerebrospinal fluid (CSF) and blood are observed in most neurodegenerative disorders, along with inflammatory, traumatic, and vascular conditions [8–11]. NfL expression is largely restricted to the CNS. NfL in plasma strongly correlates with its levels in the CSF in pathological states [12–14].
NfL has been extensively investigated as a biomarker in a wide range of neurological disorders, including neurodegenerative disorders [15–19] as well as ataxias [20–22]. Specific disorders include frontotemporal dementia (FTD) [23, 24], Parkinson disease and related synucleinopathies [25, 26], amyotrophic lateral sclerosis (ALS) [27–30], immune-mediated disorders (multiple sclerosis [MS]) [31, 32], epilepsy [33], and trauma [34]. NfL concentrations have been shown to be elevated in carriers of pathogenic variants predicting symptom onset in genetic forms of Huntington Disease [35], ALS [28], and FTD [36].
The concentration of NfL can be measured in both CSF and blood using single molecule arrays (e.g., Simoa—Quanterix, Billerica, MA, USA) or microfluidic assays (e.g., Ella-Bio-Techne, Minneapolis, MN, USA) [37]. Spurred by the recent availability of such sensitive assay technology, plasma NfL is increasingly finding utility as both a monitoring and prognostic biomarker of neuronal damage and degeneration in a variety of disorders [7, 38]. For instance, in MS, plasma NfL is elevated, correlates with magnetic resonance imaging (MRI) measured lesions, and is reduced by approved treatments [13, 39, 40]. In ALS, NfL has been established as a sensitive and valid biomarker of axonal injury and neurodegeneration, which correlates with the speed and severity of ALS progression. In this disease, NfL has been accepted as a valid surrogate endpoint reasonably likely to predict clinical benefit. Reductions of plasma NfL during treatment with tofersen (QALSODY®) were also the basis for its accelerated approval for the therapy of ALS in adults who have a pathogenic variant in the superoxide dismutase 1 (SOD1) gene [41, 42].
NfL in healthy individuals
In healthy individuals, concentrations of NfL have been demonstrated to increase with age, consistent with the natural process of aging. In recognition of the growing support of the use of plasma NfL as a biomarker for the evaluation of potential disease-modifying treatments, reliable cut-offs were elaborated by pooling quantified plasma NfL in neurologically healthy participants (5–90 years) using the Simoa assay [43]. An independent study measured serum NfL concentrations in a cohort of 2667 healthy children under 18 years of age using the same assay [44]. In healthy children, NfL was transiently very high after birth, likely related to relatively low blood volume in the first years of life. It decreased by 6.8% every year until the age of 10 and then remained mostly stable up to the age of 22 years. Independent of age, the magnitude of the effect of weight on serum NfL concentrations was marginal. The average NfL for a healthy child was 4.8 pg/mL.
NfL as a biomarker for GM2 and other lysosomal storage disorders (LSDs)
In vitro and in vivo studies in models of GM2 as well as studies in patients have established the utility of NfL as a biomarker for this disorder [45–47]. Similarly, NfL has been established as a potential biomarker for other related LSDs [48, 49].
Findings from GM2 mouse model
The Hexb-/- mouse model of Sandhoff disease closely recapitulates human infantile-onset GM2, exhibiting early neurological signs by 6–8 weeks, progressive motor deficits (comparable with patient’s severe motor and developmental impairments), and a markedly shortened lifespan of approximately 16–18 weeks (consistent with the median age of death of 4 years in patients) [47]. Multiple independent preclinical experiments in this model have established plasma NfL as a reliable biomarker for monitoring disease progression and treatment response, consistently showing that elevated NfL in untreated Hexb-/- mice correlates with clinical deterioration, and therapeutic intervention normalizes NfL concentrations toward those of wild-type controls.
Two lines of preclinical evidence reinforce this relationship. First, a clear dose–response correlation was demonstrated with sinbaglustat, wherein higher drug exposure produced greater reductions in plasma NfL alongside improved motor performance and extended survival [45, 46]. Second, it was shown that bone marrow transplant, alone or combined with colony-stimulating factor 1 receptor (CSF1R) inhibition, substantially reduced NfL concentrations relative to untreated Hexb-/- mice, with corresponding functional improvements [47]. Across these studies, reductions in plasma NfL consistently corresponded with slower disease progression and better outcomes, supporting its utility as a meaningful translational biomarker in GM2.
NfL in human GM2
In humans it was found that plasma NfL concentrations were markedly elevated in all 33 GM2 patients studied, both Tay-Sachs and Sandhoff, with no overlap with the 66 healthy controls [45] which also confirms NfL’s sensitivity as a marker of neuroaxonal injury in this disease. NfL concentrations correlated strongly with clinical severity and age of onset, with infantile-onset patients showing median levels 42.5-fold above controls and 13-fold and 4.3-fold elevations in juvenile and adolescent-onset patients, respectively, a gradient consistent with the underlying enzyme activity and established phenotypic classifications. Notably, the inverse correlation between age of onset and NfL plasma concentration is consistent with the correlation between clinical severity and age of onset in GM2 patients, which also correlates to the level of enzyme activity (of the β-hexosaminidase A, β subunit, or GM2 ganglioside activator). Collectively, these findings position plasma NfL as a robust, clinically meaningful biomarker capable of both distinguishing GM2 patients from healthy individuals and stratifying disease burden across the spectrum of GM2.
Findings in other LSDs
In other studies, it was demonstrated that plasma NfL is also elevated in children with neuronal ceroid lipofuscinosis type 2 (CLN2) [48] and neuronopathic mucopolysaccharidosis type II [49]. CLN2 patients receiving intracerebroventricular infusions of the enzyme replacement therapy cerliponase alfa, which attenuated the rate of motor decline, showed reduction in plasma NfL of 50% per year over a 3-year treatment period [50]. Similarly, NfL concentrations have been shown to correspond with the degree of primary substrate burden and clinical outcomes in patients with neuronopathic mucopolysaccharidosis type II [51]. Elevated NfL, particularly when combined with glucosylsphingosine levels and abnormal auditory brainstem response, distinguishes neuronopathic Gaucher disease with neurological involvement from non-neuronopathic forms and enables earlier identification of severe disease even before symptoms appear [52].
Summary of studies in animals and humans
Recent advancements demonstrate that NfL is a non-specific, but robust, marker of axonal injury in many neurodegenerative diseases, including GM2. The Hexb−/− mouse, an established model of GM2, shows elevated concentrations of NfL. Two studies with different investigational treatments have shown dose-dependent relationships between lower plasma NfL and improvements in symptoms, supporting NfL as a valuable biomarker for the evaluation of treatment effect in GM2. In GM2 patients, NfL concentrations are clearly elevated and do not overlap with controls. A direct correlation can also be established between NfL plasma level and age of disease onset, which is also associated with the level of enzyme activity in GM2, the basis and key driver of the disease. NfL concentrations do not increase with age in pediatric and young adult controls. NfL concentrations in other neurodegenerative LSDs, including NPC [53], metachromatic leukodystrophy [54], CLN2, ceroid-lipofuscinosis type 3 (CLN3) [55], and neuronopathic mucopolysaccharidosis type II, also correspond to disease activity and decrease in response to treatment.
Levacetylleucine
Levacetylleucine (N-acetyl-L-leucine) is a modified, acetylated derivative of a natural essential amino acid (L-Leucine). It is orally administered and transported via monocarboxylate transporters, which are ubiquitously expressed, thereby delivering levacetylleucine to all tissues and across the blood–brain barrier to the CNS, delivering high levels of levacetylleucine relative to leucine into the cytoplasm [56]. Inside cells, levacetylleucine enters enzyme-controlled pathways that correct metabolic dysfunction, including ameliorating dysfunction of the lysosomal-mitochondrial axis, improving energy (adenosine triphosphate [ATP]) production and normalizing lysosomal function [57, 58]. The knock-on effects of enhancing mitochondrial and lysosomal health include reducing neuroinflammation and improving cellular function (e.g., normalizing neuronal membrane potential and thereby intercellular signaling) [57, 59–62] leading to an overall restoration of neuronal function and preventing/protecting against neurodegeneration.
The efficacy of levacetylleucine for GM2 has been previously demonstrated in vitro, in vivo, and clinical studies [57, 63–65]. In the GM2 mouse model (Hexb−/−), acetylleucine was found to significantly delay the onset of functional decline (gait abnormalities, motor dysfunction), the decline in general health and condition, and slowed disease progression, prolonging survival [57]; these symptomatic and disease-modifying effects have also been demonstrated in observational clinical studies [57, 64].
Based on these positive findings, a multinational, rater-blinded Phase 2b clinical trial of levacetylleucine for pediatric and adult patients with GM2 was conducted [NCT03759665] and demonstrated a statistically significant and clinically meaningful improvement in symptoms, functioning, and quality of life for children and adults with GM2 after 6 weeks of treatment [65]. Similar positive studies in the related LSD Niemann-Pick disease type C (NPC) have been conducted, also demonstrating levacetylleucine significantly improves neurological manifestations, and has a disease-modifying effect [66–68]. In all studies, levacetylleucine has exhibited a benign and well-tolerated safety profile with no serious side effects. Currently, levacetylleucine (AQNEURSA®) is authorized in the United States and the European Union for the treatment of neurological manifestations in NPC [69, 70].
Based on the positive preclinical and clinical findings with levacetylleucine for GM2, in this study, we aimed to investigate the utility of NfL as a biomarker for GM2, including its utility to predict disease activity and reflect treatment response/clinical benefit.
Methods
IB1001-202 parent study
NfL samples were analyzed from participants of the Phase 2b trial with levacetylleucine for GM2 (study IB1001-202, NCT03759665) [6]. This was a rater-blinded, open-label Phase 2b study conducted at 6 sites in Germany, Spain, the United Kingdom (UK), and the United States (US) in patients with a confirmed genetic diagnosis of GM2. Adults and children aged 6 years and older with a confirmed genetic diagnosis of GM2 gangliosidoses were eligible to participate; patients using prohibited medications at screening (i.e., medications that may have confounded the safety or efficacy analysis of the trial, including N-acetyl-dl-leucine, N-acetyl-L-leucine, or aminopyridines [prohibited if not provided as the investigational medicinal product], varenicline, riluzole, sulfasalazine, chlorzoxazone, gabapentin, or rosuvastatin) were required to complete a 42-day washout prior to their first baseline visit. The eligibility criteria were previously published [6].
The IB1001-202 trial was conducted in accordance with the International Conference for Harmonisation (of Technical Requirements for Pharmaceuticals for Human Use), Good Clinical Practice Guideline, the General Data Protection Regulator, and the Declaration of Helsinki. The trial design, including rationale, methodology, and study results has been previously published [6]. Written informed consent was obtained for all study participants by the patient or, if applicable, their parent or legal representative.
In the “Parent Study”, patients were assessed during three consecutive study periods: a 2-week (+ 7 day) baseline period, a 6-week (+ 7 day) treatment period (in which all patients were to receive levacetylleucine, and a 6-week (+ 7 day) post-treatment washout period (Fig. 1). The primary endpoint, the Clinical Impression of Change in Severity (CI-CS), was based on patient’s performance on either the 9 Hole Peg Test–Dominant Hand (9HPT-D), or the 8-Meter Walk Test (8MWT) was compared based on video recordings taken at baseline (visit 2), the end of treatment (visit 4), and the end of the washout period (visit 6). For each patient, either the 9HPT-D or 8MWT was chosen as the primary assessment measure by the principal investigator at visit 1, based on their unique individual symptoms. Sites were trained on a standardized protocol to ensure that the 9HPT-D and 8MWT were filmed consistently, and the videos were uploaded to be centralized assessed by a team of 3 certified neurologists. Two of these neurologists reviewed randomized, blinded video pairs as follows: baseline vs end of treatment (pair A), end of treatment vs end of washout (pair B), and baseline vs end of washout (pair C). For each pair, the raters had to assess the change of severity of the patient’s signs using a 7-point Likert scale. The third rater acted as an adjudicator, when the results of the assessment of the 2 primary raters differed by more than 1 point on the Likert scale. The CI-CS was defined as the change from pair A minus pair B; thus, the washout period served as the control arm to the treatment period [6].
Fig. 1.
IB1001-202 Parent Study and extension phase design. EP extension phase, IMP investigational medicinal product. Red start indicates visits at which NfL samples were collected
Secondary endpoints included the Scale for the Assessment and Rating of Ataxia (SARA), an eight-item clinical rating scale that incorporates assessments of gait, stance, sitting, and speech disturbance, as well as the finger-chase test, the nose-to-finger test, the fast-alternating-hand- movements test, and the heel-along-shin slide test ranging from 0 (best) to 40 (worst) [71] and the Modified Disability Rating Scale (mDRS), a measurement of overall neurologic status which consists of six subdomains (ambulation, manipulation, seizures, language, swallowing, and ocular movements), with the total score for overall neurologic status ranging from 0 (best) from 24 (worst); scores were then scaled to a range of 0 to 1 [72].
IB1001-202 Extension Phase (EP)
In the EP, patients were assessed approximately 6 times over a 116-week period, receiving treatment with levacetylleucine for approximately 2 years [6].
Analysis of NfL plasma concentrations
During Study IB1001-202, blood samples for research purposes were obtained at Visit 2 (baseline), Visit 4 (after 6 weeks’ treatment with levacetylleucine), and Visit 6 (after 6 weeks’ washout) of the Parent Study, and at Visit 9 and Visit 12 of the EP. NfL concentrations were analyzed using a validated assay at Medpace Reference Laboratories. The analyzed set contained 97 samples collected between 28-Jun-2019 through 09-Jan-2023 from 30 patients enrolled in IB1001-202.
Ninety-seven samples were received at Medpace Reference Laboratories frozen and in good condition. NfL concentrations were assayed using the Simoa® Human Neurology 4-Plex E (N4PE +) Advantage Plus Assay on the HD-X platform [73].
No test–retest reliability assessment of the NfL samples was planned as part of the study, but five back-up blood samples from Visit 9 were included in the analyzed set and were compared to the primary samples. The inter-sample variation had a mean of 2.9% and range of 0 to 5.7%, which was within the 7.2 to 10.3% coefficient of variation (CV) cited in the assay data sheet [73].
Statistical methods
This was an analysis of plasma samples collected for research purposes as part of Study IB1001-202. No adjustments were made for multiple comparisons.
Baseline NfL concentrations are presented for all 27 patients with NfL measurements at Visit 2. The Parent Study NfL analysis set consisted of 19 patients with reliable, recorded NfL measurements at each of Visits 2 (baseline – the start of levacetylleucine treatment), Visit 4 (after approximately 6 weeks levacetylleucine treatment), and Visit 6 (after approximately 6-week post-treatment washout from levacetylleucine) during the Parent Study and with samples defined as being reliably obtained and processed. For these patients, the change from baseline and percentage change from baseline at each visit were calculated. Change during the Washout Period (Visit 4 to Visit 6) was also calculated.
The EP NfL analysis set consisted of 10 patients who recorded NfL concentration values at either or both of Visit 9 and Visit 12. One of the 10 patients did not record a value at Visit 9, and 3 patients did not record a value at Visit 12. For both the Parent Study and the EP visits, 1-sample t-tests were used to test the null hypotheses of no change in NfL concentrations from baseline and no change in NfL concentration during the Washout Period. For the Parent Study population, the change in each of the SARA, CI-CS, and mDRS clinical endpoints during the Treatment Period and Washout Period were compared to the percentage change in NfL concentration during the corresponding periods. Pearson r between the change in each clinical scale and percentage change in NfL concentration was computed.
A statistical comparison of NfL concentrations to the SARA and mDRS clinical scales was made by regressing percentage changes in NfL concentration against change in clinical scales using Ordinary Least Squares (OLS) implemented in statsmodels [74]. The CI-CS is an ordinal scale, so percentage changes in NfL concentration were fitted to CI-CS values with half-point intervals between -3 and + 3 using the ordered model implemented in statsmodels.
Results
Summary of clinical findings from IB1001-202
Parent study
In total, thirty-six participants were screened between June 7, 2019, and October 1, 2020, and 30 patients qualified for inclusion (including 27 Tay-Sachs patients and 3 Sandhoff patients). Patient baseline demographic and clinical characteristics are shown in Table 1A. The findings from the Parent Study were that levacetylleucine rapidly improved neurological signs, symptoms, functioning, and quality of life after 6 weeks of treatment, followed by a deterioration (return to baseline status) in the 6-week post-treatment washout period [65]. The study met its primary Clinical Impression of Change in Severity (CI-CS) endpoint; Hodges-Lehmann estimator was 0.75 (90%CI 0.00, 1.50; p = 0.044). Pre-defined subgroup analyses based on age, disease severity, age of symptom onset, etc. did not show noteworthy differences (taking into account the small sample size of some subgroups), which might indicate levacetylleucine’s therapeutic applicability for all GM2 patients. A high level of consistency between the primary and secondary endpoints further reinforced the clinically meaningful effects of levacetylleucine. The analysis of Scale for the Assessment and Rating of Ataxia (SARA) total score indicated improvement in cerebellar signs and symptoms at the end of treatment compared with baseline (Hodges-Lehmann estimator -1.25; 90%CI: − 1.75, − 0.75; p < 0.001) and deterioration in cerebellar signs and symptoms during washout (Hodges-Lehmann estimator 1.25; 90%CI 0.50, 2.00; p = 0.001). The analysis of the Modified Disability Rating Scale (mDRS) composite score also indicated neurological improvement at the end of treatment compared with baseline (Hodges–Lehmann estimator − 0.031; 90%CI: − 0.063, 0.000; p = 0.020) and neurological deterioration during washout (Hodges–Lehmann estimator 0.042 (90%CI 0.021, 0.063; p < 0.001), with 62% of EP patients achieving no worsening or improvement on mDRS. The physician, caregiver, and patient Clinical Global Impression of Change (CGI-C) scores were consistent and supported an overall improvement in patients’ overall symptoms, functioning, and condition during the treatment period and deterioration during the washout period.
Table 1.
Baseline characteristics and demographics from study IB1001-202 [65]
| (A) Parent study | ||
| Age (years) | Mean (SD) | 27.0 (15.2) |
| Median | 28.5 | |
| Range | 6.0–55.0 | |
| Gender, n (%) | Male | 11 (36.7%) |
| Female | 19 (63.3%) | |
| Age group, n (%) | Pediatric (< 18 years) | 10 (33.3%) |
| Adult (≥ 18 years) | 20 (66.7%) | |
| Dose, n (%) | Age 6–12 years—15 to < 25 kg—2 g per day | 3 (10.0%) |
| Age 6–12 years—25 to < 35 kg—3 g per day | 4 (13.3%) | |
| Age 6–12 years— ≥ 35 kg—4 g per day | 1 (3.3%) | |
| Age ≥ 13 years—4 g per day | 22 (73.3%) | |
| Disease, n (%) | Tay-Sachs | 27 (90.0%) |
| Sandhoff | 3 (10.0%) | |
| (B) Extension phase | ||
| Age (years) | Mean (SD) | 18.6 (12.1) |
| Median | 13.0 | |
| Range | 6-38 | |
| Gender (n (%)) | Male | 5 (38.5%) |
| Female | 8 (61.5%) | |
| Age group (n (%)) | Pediatric (< 18 years) | 7 (53.8%) |
| Adult (≥ 18 years) | 6 (46.2%) | |
| Dose group (n (%)) | Age 6–12 years—15 to < 25 kg—2 g per day | 2 (15.4%) |
| Age 6–12 years—25 to < 35 kg—3 g per day | 4 (30.8%) | |
| Age ≥ 13 years—4 g per day | 7 (53.8%) | |
| Disease (n (%)) | Tay-Sachs | 12 (92.3%) |
| Sandhoff | 1 (7.7%) | |
Extension phase
Fourteen of the 27 patients who completed the Parent Study (Visit 6) entered the EP (Patient baseline demographic and clinical characteristics are shown in Table 1B). The baseline visit occurred at or after the last visit of the Parent Study, after each patient had completed a minimum 6-week washout from levacetylleucine. The primary endpoint for measuring long-term efficacy was the mDRS score. In IB1001-202, the proportion of patients with success (defined as no change or an improvement) on the mDRS score (Visit 9 versus Visit 7; Treatment Period I) was 0.62 (90%CI 0.38, 0.81) and reached statistical significance with p < 0.001 as compared to a proportion of 0.10 for the modified intention-to-treat EP (mITTe) population.
NfL values at baseline in study IB1001-202
NfL assays were obtained from 27 individual participants with GM2 during the Parent Study. At baseline (Visit 2), the cohort showed elevated concentrations of NfL in comparison to the corresponding age group at diagnosis as reported by Simrén et al. (2022) [43] and Welford et al. (2022) [45]. Six patients with age of diagnosis between 2 and 4 had a mean baseline (SD) NfL concentration of 157.1 pg/mL (124.1); four patients with age of diagnosis between 4 and 10 had a mean baseline NfL concentration of 61.8 pg/mL (47.5); and seventeen patients aged over 10 at diagnosis had a mean baseline concentration of 25.7 pg/mL (5.3) (see Fig. 2).
Fig. 2.
Plasma NfL concentration at baseline of the IB1001-202 cohort, grouped by age at diagnosis. N = 27. Includes all patients from Study IB1001-202 with a baseline (i.e., Visit 2) NfL measurement. Boxes show median and inter-quartile ranges by Age at Diagnosis group. Individual patient concentrations are superimposed with points colored by age at sampling
NfL values by visit in study IB1001-202 parent study
Nineteen patients with NfL assays at Visit 2, Visit 4, and Visit 6 were included in the analysis set. These patients showed a statistically significant mean reduction in NfL concentrations following 6 weeks’ administration of levacetylleucine (Visit 2 to Visit 4) (mean [SD] − 8.9% [13.1%], p = 0.008), which subsequently rebounded during the 6-week washout period (Visit 4 to Visit 6) (+ 9.2% [16.1%], p = 0.022) (Table 2). Owing to the wide range of absolute values for NfL (reflecting the varying ages of onset in the study cohort), the findings are displayed as percentage change in the NfL concentration (Fig. 3).
Table 2.
Change from baseline in NfL values in the study IB1001-202 Parent Study (Parent Study NfL analysis set)
| Visit | Timepoint evaluated | N | Mean (SD) | Mean (SD) % Change from Baseline (Visit 2) | 95% CI | p value | Mean (SD) % Change from levacetylleucine Treatment (Visit 4) | 95%CI | p value |
|---|---|---|---|---|---|---|---|---|---|
| Visit 2 | Baseline | 19 | 70.4 pg/mL (89.8) | ||||||
| Visit 4 | End of 6-week levacetylleucine treatment | 19 | 62.9 pg/mL (79.3) | − 8.9% (13.1%) | − 15.2% to − 2.6% | 0.008 | |||
| Visit 6 | End of 6-week post-washout from levacetylleucine | 19 | 68.3 pg/mL (86.9) | − 1.6% (13.4%) | − 8.0% to 4.9% | 0.610 | 9.2% (16.1%) | 1.5% to 17.0% | 0.022 |
Visit 2: baseline; Visit 4: end of 6-week levacetylleucine treatment; Visit 6: end of 6-week post-washout from levacetylleucine
Fig. 3.

Change in NfL values in the Study IB1001-202 Parent Study (Parent Study NfL analysis set). V2 (baseline visit): 0 months; V4 6-week levacetylleucine treatment; V6 6-week washout from levacetylleucine [12 weeks post-baseline]. Solid line represents levacetylleucine treatment, dashed line represents post-treatment washout
These descriptive statistics were also computed for the subsets of “juvenile” patients (aged ≤ 10 at baseline) and “adolescent and adult” patients (aged > 10 at baseline). Patients whose age at baseline was ≤ 10 showed a mean [SD] change from baseline of − 12.6% [3.7%] following administration of levacetylleucine, and then rebounded + 10.7% [5.1%] during the six-week washout period. The subset of “adolescent and adult” patients whose age was > 10 at baseline showed a mean [SD] change from baseline of − 7.9% [14.6%] following administration of levacetylleucine and then rebounded + 8.8% [18.1%] change from baseline after the six-week washout period.
The observed changes in NfL concentrations paralleled the improvement observed in clinical outcome measures during the treatment and washout phases (Fig. 4).
Fig. 4.
Parallel Changes in NfL concentration, SARA, mDRS, and CI-CS by treatment period. Changes in the CI-CS primary endpoint, the SARA scale and mDRS secondary endpoints, and NfL concentration during the IB1001-202 Parent Study. For SARA and for mDRS a negative change represents an improvement. For CI-CS a positive change is an improvement, so it is plotted on an inverted y-axis to align the changes with SARA
Observed correlation between NfL concentrations and clinical outcomes
The percentage change in patients’ plasma NfL concentration was compared to changes in total SARA score, mDRS, and CI-CS (Table 3). The periodic changes in each scale were computed for the treatment period and for the Washout Period of the IB1001-202 Parent Study. Ordinary Least Squares (OLS) was then used to find a best fit model of change in SARA and mDRS as a function of percentage change in NfL concentration. An Ordered Model was used to compare changes in NfL with CI-CS.
Table 3.
Statistical analysis of changes in NfL concentration and changes in efficacy outcome measures in IB1001-202 Parent Study (Parent Study NfL analysis set)
| SARA (n = 19) | Pearson r | 0.38 | |||
| OLS | Coefficient | Standard error | 95%CI | Two-sided p value | |
| ma | 5.4 | 2.1 | 1.2, 9.6 | 0.013 | |
| cb | 0.0 | 0.4 | − 0.7, 0.7 | 0.939 | |
| mDRS (n = 19) | Pearson r | 0.30 | |||
| OLS | Coefficient | Standard error | 95%CI | Two-sided p value | |
| m | 3.2 | 1.6 | − 0.1, 6.4 | 0.056 | |
| c | − 0.1 | 0.3 | − 0.6, 0.5 | 0.788 | |
| CI-CS (n = 19) | Pearson r | 0.18 | |||
| Ordered Model | Coefficient | Standard error | 95% CI | Two-sided p value | |
| NfLc | − 2.2 | 1.7 | − 5.5, 1.1 | 0.184 |
a,bm is the linear coefficient and c the intercept for a regression model: Δclinical-endpoint = m × ΔNFL% + c
cNfL is the latent coefficient of Δ NFL% for the Ordered Model
OLS ordinary least squares
The comparison between percentage changes in NfLs (Δ NFL%) and changes in points in SARA scores (Δ SARA) provided a Pearson r between changes in the two scales of 0.38. The linear slope term linking the two endpoints was m = 5.4 (95%CI 1.2, 9.6), p = 0.013, and the intercept was at the origin c = 0.0 (95%CI − 0.7, + 0.7) indicating a statistically significant linear relationship between changes in the SARA scale and NfL concentrations.
The Pearson r between percentage change in NfL concentration and change in mDRS was 0.30. The best fit OLS model slope term was m = 3.2 (95%CI − 0.1, 6.4), p = 0.056 and the intercept was c = − 0.1 (95% CI -0.6, + 0.5).
The Pearson r between CI-CS and percentage change in NfL was 0.18 reflecting that a positive CI-CS representing an improvement in symptoms was correlated with a reduction in NfL concentration. The Ordered Model regression coefficient of CI-CS against percentage change in NfL, − 2.2 (95%CI − 5.5, 1.1) also indicating a relationship between an improvement in symptoms and a reduction in NfL concentration that did not reach statistical significance.
NfL values in the study IB1001-202 EP
NfL data at Visit 9 and/or Visit 12 are available for 10 study participants. Percentage change from baseline (Visit 2) to visits in the Parent Study and the long-term EP is presented in Table 4 (note, Visit 6 represents a washout from drug).
Table 4.
Percentage change in NfL values of patients who participated in both the Parent Study and EP (EP NfL analysis set)
| Visit | Timepoint evaluated | n | Mean NfL concentration (SD) |
Mean % Change from baseline (SD)* | CI |
p value (vs no change from baseline) |
|---|---|---|---|---|---|---|
| Visit 4 | End of 6-week levacetylleucine treatment | 8 | 125.8 (99.4) | − 10.2% (8.6%) | − 17.4%, -3.0% | 0.012 |
| Visit 6 | End of 6-week post-washout from levacetylleucine | 8 | 125.0 (113.4) | 2.1% (10.2%) | − 6.4%, 10.7% | 0.573 |
| Visit 9** | Approximately 15 months post-baseline, 1-year levacetylleucine treatment | 9 | 96.6 (85.1) | − 16.9% (14.9%) | − 28.3%, − 5.4% | 0.010 |
| Visit 12 | Approximately 27 months post-baseline, 2-year levacetylleucine treatment | 7 | 70.8 (56.9) | − 30.5% (12.8%) | − 42.3%, − 18.7% | < 0.001 |
*Baseline value is Visit 2 value. Percentage change from Baseline was computed per patient per visit. Mean (SD) percentage change was computed from only patients completing a given visit
**Note: For Visit 9, V9BPOB measurement values were utilized in the NfL analyses because this was the larger of the two sample datasets across the EP patients
Patient samples demonstrated a statistically significant average reduction in NfL concentrations following 1-year administration of levacetylleucine (Visit 2 to Visit 9): -16.9% (SD = 15.0), p = 0.010, and a further substantial reduction following two years of treatment with levacetylleucine (Visit 2 to Visit 12): -30.5% (SD = 12.8%), p < 0.001 (Table 4).
These NfL assays on samples obtained during the EP showed a significant progressive decline in NfL status, indicative of improvements in neuroaxonal damage and an amelioration of neural cell death, and consistent with the clinical findings from the EP.
Mean (SE) NfL concentrations for the Parent Study and EP are displayed in Fig. 5. NfL concentrations for individual patients in the Parent Study and the EP are displayed in Fig. 6.
Fig. 5.
Mean (+ / − SE) % change in plasma NfL concentration during the Parent Study (Visits 2, 4 and 6) and EP (Visits 9 and 12) of the IB1001-202 trial (EP NfL analysis set). V2 baseline visit; V4 6 weeks levacetylleucine Treatment; V6 6 weeks washout from levacetylleucine [12 weeks post-baseline]; V9 12-month levacetylleucine treatment [15-month post-baseline]; V12 24-month levacetylleucine treatment [27-month post-baseline]
Fig. 6.
Individual NfL concentrations per patient during the Parent Study (Visits 2, 4, and 6) and EP (Visits 9 and 12) (EP NfL analysis set). Samples obtained at sequential visits are shown as values with a connected line. Samples obtained at discontinuous visits noted as solitary dots. V2 baseline visit; V4 6 weeks levacetylleucine Treatment; V6 6 weeks washout from levacetylleucine [12 weeks post-baseline]; V9 12-month levacetylleucine treatment [15-month post-baseline]; V12 24-month levacetylleucine treatment [27-month post-baseline]
Discussion
These data from a Phase 2b, multinational, rater-blinded study of levacetylleucine (Parent Study), and in its open-label Extension Phase in patients with GM2 show that NfL concentration changes correlate with clinical outcome measures, and therefore a potential surrogate outcome measure. In the United States, a surrogate biomarker used to support regulatory approval is generally defined as a laboratory measurement, radiographic image, physical sign, or other measure that is reasonably likely to predict a clinically meaningful outcome, but is not itself a measure of clinical benefit [75]. The major finding from this analysis is that NfL concentrations are a robust marker of axonal injury which are consistently elevated above age-related control levels in GM2, that do not fall spontaneously, and which have been shown in a murine model of GM2 to correlate with drug exposure and therapeutic response indeed corresponded with drug exposure and therapeutic response in the IB1001-202 clinical trial of pediatric and adult patients with patients with GM2 gangliosidoses. The Parent Study findings, a significant mean plasma NfL reduction of -8.9% occurred following six weeks of levacetylleucine, with a significant rebound of 9.2% during washout. This is notable for its bidirectional concordance with the clinical outcome data, in which the primary CI-CS and secondary SARA, and mDRS scores all improved during treatment and deteriorated during washout (note – this was also mirrored in the Investigator’s, Caregiver’s, and Patient’s CGI-C scores, which captured a statistically significant improvement on treatment and deterioration (worsening) during the post-treatment washout [65]. This temporal mirroring strengthens the inference that NfL changes reflect genuine biological consequences of treatment rather than random variation. Regression analyses further support this and showed a directionally consistent relationship with CI-CS though not statistically significant, the latter likely reflecting the broader, more subjective nature of that global impression scale. That the regression intercept lay at the origin for SARA is particularly meaningful, implying that NfL change and clinical change are closely coupled.
The Extension Phase data are arguably an even more compelling component of the NfL dataset. The significant progressive decline of -16.9% after one-year levacetylleucine treatment and -33.5% at two years in patients receiving continuous levacetylleucine, converging with clinical data showing 62% of EP patients achieving no worsening or improvement on mDRS against an expected trajectory of decline is consistent with a disease-modifying neuroprotective effect of levacetylleucine beyond its already demonstrated rapid improvement of neurological manifestations and functioning. Taken alongside the precedent of NfL’s acceptance as a surrogate endpoint in SOD1-ALS and analogous evidence from NPC, CLN2, CLN3, Gaucher disease, MLD, and neuronopathic mucopolysaccharidosis type II as stated in the Introduction, these findings position NfL as a biomarker that is reasonably likely to predict clinical benefit in GM2.
Limitations
Limitations of the study include the small sample sizes, particularly in the NfL and Extension Phase analyses, the open-label design, the absence of an untreated longitudinal comparator, and the lack of adjustment for multiple comparisons. Further, missing data across visits may introduce selection bias. NfL, while sensitive, is non-specific and may be influenced by other factors. Finally, the short duration of the Parent Study limits assessment of temporal dynamics.
Conclusion
In this study, plasma NfL decreased during levacetylleucine treatment in patients with GM2 and increased during washout, paralleling clinical outcomes. Long-term reductions in NfL further support its utility as a pharmacodynamic biomarker and demonstrated the neuroprotective, disease-modifying effect of levacetylleucine. While limited by small sample size, these findings contribute to growing evidence supporting NfL as a valid surrogate endpoint in ultra-rare neurodegenerative diseases.
Acknowledgements
The authors thank the study teams and coinvestigators from Bellvitge University Hospital, Mayo Clinic (Rochester MN), NIHR Manchester Clinical Research Facility, Salford Trust, University of Giessen, University of Munich Ludwig Maximilian, University of California Los Angeles, and New York University Langone for their participation in the trial. They thank the multinational patient organizations representing the GM2 community and referring physicians. Finally, they thank all the patients and their families who participated in this study.
Funding
Open Access funding enabled and organized by Projekt DEAL. This study was funded by IntraBio Inc.
Data availability
The datasets generated and/or analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.
Declarations
Conflicts of interest
NJA has received advisory board honoraria from Beren Therapeutics and Sanofi and is a consultant for Takeda Pharmaceuticals. He has received research funding support from Amicus Therapeutics, BioMarin Pharmaceutical, Sangamo Therapeutics, Sanofi, Takeda Pharmaceuticals. JJB has received consulting fees and/or honoraria from Acer, Amgen (Horizon), BioMarin, CVS Caremark, Denali, Eton Pharmaceuticals, Intrabio, Orchard Therapeutics, Otsuka, RegenxBio, Sanofi Genzyme, Takeda, Ultragenyx, and Zevra as a medical expert. He has participated in clinical trials funded by Aeglea, Denali, Homology, iEcure, PassageBio, Recordati, Sangamo, Sanofi Genzyme, Takeda, and Ultragenyx. IB, CF, MG, and JK are employees and shareholders of IntraBio Inc; TF and MF are employees and shareholders of IntraBio Inc and hold patents related to the use of acetylleucine. TAB has received advisory board honorarium from IntraBio Inc. MCP is an employee and shareholder of IntraBio Inc. He has received scientific advisory board honorarium from Zevra, served as journal editor for SSIEM; Journal of Inherited Metabolic Disease and JIMD Reports and Sage; Journal of Child Neurology, received publishing royalties from Wolters Kluwer, Up-To-Date, Pediatric Neurology and served as a consultant for IntraBio. He received research support from Orphazyme/Zevra, Glycomine, Azafaros, National Institute of Diabetes and Digestive and Kidney Diseases, and Idorsia Pharmaceuticals Ltd. MS is Joint Chief Editor of the Journal of Neurology, Editor in Chief of Frontiers of Neuro-otology and Section Editor of F1000. He has received speaker’s honoraria from Abbott, Auris Medical, Biogen, Eisai, Grünenthal, GSK, Henning Pharma, Interacoustics, J&J, MSD, NeuroUpdate, Otometrics, Pierre-Fabre, TEVA, UCB, and Viatris. He received support for clinical studies from Decibel, U.S.A., Cure within Reach, U.S.A. and Heel, Germany. He distributes “M-glasses” and “Positional vertigo App”. He acts as a consultant for Abbott, AurisMedical, Bulbitec, Heel, Sensorion, Vifor and Vertify. He is a scientific founder, investor and shareholder of IntraBio. LS is a consultant and shareholder in IntraBio Inc. TBE received honoraria for lecturing from Actelion and Sanofi Genzyme and fees for the blinded rater services from IntraBio.Other authors have no relevant disclosures to report.
Ethical approval
The study was conducted in accordance with the International Conference for Harmonization (of Technical Requirements for Pharmaceuticals for Human Use), Good Clinical Practice Guideline, the General Data Protection Regulator, and the Declaration of Helsinki. Approval for the study (clinicaltrials.gov identifier NCT03759665, EudraCT number 2018–004406-25, and DR KS-ID: DRKS00017539) was obtained by National Regulatory Authorities in each country (German Federal Institute for Drugs and Medical Devices, Spain Agency of Medicines and Medical Devices, UK Medicines and Healthcare products Regulatory Agency, and US Food and Drug Administration) and the applicable responsible central research ethics committees/institutional review boards for each center (Ethics Committee of Ludwig Maximilian University of Munich (19–119), Bellvitge Hospital University Clinical Research Ethics Committee (AC004/19), North West–Greater Manchester South (260774), Mayo Clinic Institutional Review Board (19–000373), Office of Science and Research Institutional Review Board, New York University School of Medicine (i17-01666), and University of California Los Angeles Institutional Review Board (19–000348)). Written informed consent was obtained for all study participants by the patient or, if applicable, their parent or legal representative.
Informed consent
Informed consent was obtained from all individual participants included in the study and/or their legal guardian(s).
References
- 1.Toro C, Zainab M, Tifft CJ (2021) The GM2 gangliosidoses: unlocking the mysteries of pathogenesis and treatment. Neurosci Lett 764:136195 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Katakowski JA, López JC (2025) Drug development for neglected ultra-rare diseases of no commercial interest: challenges and opportunities. Drug Discov Today 30(4):104346 [DOI] [PubMed] [Google Scholar]
- 3.Hughes DA, Tunnage B, Yeo ST (2005) Drugs for exceptionally rare diseases: Do they deserve special status for funding? QJM 98(11):829–836 [DOI] [PubMed] [Google Scholar]
- 4.Buffel C, Oliveira I, Braspenning T, Vander Stichele G. (2023) EPH197 An integrated modelling methodology for estimating global, regional, and country-specific incidence and prevalence of Tay-Sachs disease at the subtype level. 26(12)
- 5.Xiao C, Tifft C, Toro C. (2022) Sandhoff disease. In: Adam MP, Feldman J, Mirzaa GM, et al, eds. GeneReviews® [Internet]. Seattle, WA: University of Washington, Seattle; 1993–2024. https://www.ncbi.nlm.nih.gov/books/NBK579484/ [PubMed]
- 6.Fields T, Patterson M, Bremova-Ertl T, Belcher G, Billington I, Churchill GC, Davis W, Evans W, Flint S, Galione A et al (2021) A master protocol to investigate a novel therapy acetyl-L-leucine for three ultra-rare neurodegenerative diseases: Niemann-Pick type C, the GM2 gangliosidoses, and ataxia telangiectasia. Trials 22(1):84 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Gaetani L, Blennow K, Calabresi P, Di Filippo M, Parnetti L, Zetterberg H (2019) Neurofilament light chain as a biomarker in neurological disorders. J Neurol Neurosurg Psychiatry 90:870–881 [DOI] [PubMed] [Google Scholar]
- 8.Olsson B, Portelius E, Cullen NC, Sandelius Å, Zetterberg H, Andreasson U, Höglund K, Irwin DJ, Grossman M, Weintraub D et al (2019) Association of cerebrospinal fluid neurofilament light protein levels with cognition in patients with dementia, motor neuron disease, and movement disorders. JAMA Neurol 76(3):318–325 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Novakova L, Zetterberg H, Sundström P, Axelsson M, Khademi M, Gunnarsson M, Malmeström C, Svenningsson A, Olsson T, Piehl F, Blennow K, Lycke J (2017) Monitoring disease activity in multiple sclerosis using serum neurofilament light protein. Neurology 89(22):2230–2237 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Zetterberg H, Hietala MA, Jonsson M, Andreasen N, Styrud E, Karlsson I, Edman A, Popa C, Rasulzada A, Wahlund LO et al (2006) Neurochemical aftermath of amateur boxing. Arch Neurol 63(9):1277–1280 [DOI] [PubMed] [Google Scholar]
- 11.Zerr I, Villar-Pique A, Hermann P, Schmitz M, Varges D, Ferrer I, Riggert J, Zetterberg H, Blennow K, Llorens F (2021) Diagnostic and prognostic value of plasma neurofilament light and total-tau in sporadic Creutzfeldt-Jakob disease. Alzheimers Res Ther 13(1):86 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Byrne LM, Rodrigues FB, Blennow K, Durr A, Leavitt BR, Roos RAC, Scahill RI, Tabrizi SJ, Zetterberg H, Langbehn D et al (2017) Neurofilament light protein in blood as a potential biomarker of neurodegeneration in Huntington’s disease: a retrospective cohort analysis. Lancet Neurol 16:601–609 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Sejbaek T, Nielsen HH, Penner N, Plavina T, Mendoza JP, Martin NA, Elkjaer ML, Ravnborg MH, Illes Z (2019) Dimethyl fumarate decreases neurofilament light chain in CSF and blood of treatment naive relapsing MS patients. J Neurol Neurosurg Psychiatry 90:1324–1330 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lu CH, Macdonald-Wallis C, Gray E, Pearce N, Petzold A, Norgren N, Giovannoni G, Fratta P, Sidle K, Fish M et al (2015) Neurofilament light chain: a prognostic biomarker in amyotrophic lateral sclerosis. Neurology 84:2247–2257 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Khalil M, Teunissen CE, Otto M, Piehl F, Sormani MP, Gattringer T, Barro C, Kappos L, Comabella M, Fazekas F et al (2018) Neurofilaments as biomarkers in neurological disorders. Nat Rev Neurol 14(10):577–589 [DOI] [PubMed] [Google Scholar]
- 16.Bridel C, van Wieringen WN, Zetterberg H, Tijms BM, Teunissen CE, Alvarez-Cermeno JC, Andreasson U, Axelsson M, Backstrom DC et al (2019) Diagnostic value of cerebrospinal fluid neurofilament light protein in neurology: a systematic review and meta-analysis. JAMA Neurol 76(9):1035–1048 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Delaby C, Alcolea D, Carmona-Iragui M, Illán-Gala I, Morenas-Rodríguez E, Barroeta I, Altuna M, Estellés T, Santos-Santos M, Turon-Sans J et al (2020) Differential levels of neurofilament light protein in cerebrospinal fluid in patients with a wide range of neurodegenerative disorders. Sci Rep 10(1):9161 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Khalil M, Teunissen CE, Lehmann S, Otto M, Piehl F, Ziemssen T, Bittner S, Sormani MP, Gattringer T, Abu-Rumeileh S et al (2024) Neurofilaments as biomarkers in neurological disorders—towards clinical application. Nat Rev Neurol 20(5):269–287 [DOI] [PubMed] [Google Scholar]
- 19.Myrou A, Barmpagiannos K, Ioakimidou A, Savopoulos C (2025) Molecular biomarkers in neurological diseases: advances in diagnosis and prognosis. Int J Mol Sci 26(5):2231 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Peng L, Wang S, Chen Z, Peng Y, Wang C, Long Z, Peng H, Shi Y, Hou X, Lei L et al (2022) Blood neurofilament light chain in genetic ataxia: a meta-analysis. Mov Disord 37(1):171–181 [DOI] [PubMed] [Google Scholar]
- 21.Wilke C, Haas E, Reetz K, Faber J, Garcia-Moreno H, Santana MM, van de Warrenburg B, Hengel H, Lima M, Filla A et al (2020) Neurofilaments in spinocerebellar ataxia type 3: blood biomarkers at the preataxic and ataxic stage in humans and mice. EMBO Mol Med 12(7):e11803 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Coarelli G, Darios F, Petit E, Dorgham K, Adanyeguh I, Petit E, Brice A, Mochel F, Durr A (2021) Plasma neurofilament light chain predicts cerebellar atrophy and clinical progression in spinocerebellar ataxia. Neurobiol Dis 153:105311 [DOI] [PubMed] [Google Scholar]
- 23.Karantali E, Kazis D, Chatzikonstantinou S et al (2021) The role of neurofilament light chain in frontotemporal dementia: a meta-analysis. Aging Clin Exp Res 33(4):869–881 [DOI] [PubMed] [Google Scholar]
- 24.Verde F, Otto M, Silani V (2021) Neurofilament light chain as biomarker for amyotrophic lateral sclerosis and frontotemporal dementia. Front Neurosci 15:679199 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Li S, Yang C, Wu J, Zheng Y, Yu Z, Liu G, Yang Y, Feng T (2025) Cerebrospinal fluid biomarkers for diagnosis of Parkinson’s disease: a systematic review and network meta-analysis. J Neurol 272(12):793 [DOI] [PubMed] [Google Scholar]
- 26.Perez-Soriano A, Painous C, Fernandez M, Perez-Montesino J, de Mena L, Zaro I, Camara A, Compta Y (2025) Neurofilament light chain as a diagnostic and prognostic biomarker in atypical parkinsonisms: current evidence, new data, challenges, and future directions. J Neural Transm. 10.1007/s00702-025-03070-3 [DOI] [PubMed] [Google Scholar]
- 27.Steinacker P, Feneberg E, Weishaupt J, Brettschneider J, Tumani H, Andersen PM, von Arnim CA, Bohm S, Kassubek J, Kubisch C et al (2016) Neurofilaments in the diagnosis of motoneuron diseases: a prospective study on 455 patients. J Neurol Neurosurg Psychiatry 87(1):12–20 [DOI] [PubMed] [Google Scholar]
- 28.Benatar M, Wuu J, Lombardi V, Jeromin A, Bowser R, Andersen PM, Malaspina A (2019) Neurofilaments in pre-symptomatic ALS and the impact of genotype. Amyotroph Lateral Scler Frontotemporal Degener 20(7–8):538–548 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Verde F, Steinacker P, Weishaupt JH, Kassubek J, Oeckl P, Halbgebauer S, Tumani H, von Arnim CAF, Dorst J, Feneberg E et al (2019) Neurofilament light chain in serum for the diagnosis of amyotrophic lateral sclerosis. J Neurol Neurosurg Psychiatry 90(2):157–164 [DOI] [PubMed] [Google Scholar]
- 30.Halbgebauer S, Klose V, Fazeli B, Klassen P, Alexudis C, Nagel G, Rosenbohm A, Rothenbacher D, de San-Jose NG, Witzel S et al (2025) Neurofilament light chain reference values in serum and cerebrospinal fluid: a bi-compartmental analysis in neurological diseases. J Neurol 272(8):535 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Disanto G, Barro C, Benkert P, Naegelin Y, Schadelin S, Giardiello A, Zecca C, Blennow K, Zetterberg H, Leppert D, Kappos L, Gobbi C, Kuhle J (2017) Serum neurofilament light: a biomarker of neuronal damage in multiple sclerosis. Ann Neurol 81(6):857–870 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Bittner S, Oh J, Havrdova EK, Tintore M, Zipp F (2021) The potential of serum neurofilament as biomarker for multiple sclerosis. Brain 144(10):2954–3296 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Thaele A, Barba L, Abu-Rumeileh S, Foschi M, Otto M (2025) Neurofilament light chain and glial fibrillary acidic protein as diagnostic and prognostic biomarkers in epileptic seizures and epilepsy: a systematic review. Epilepsy Behav 165:110321 [DOI] [PubMed] [Google Scholar]
- 34.Karantali E, Kazis D, McKenna J, Chatzikonstantinou S, Petridis F, Mavroudis I (2022) Neurofilament light chain in patients with a concussion or head impacts: a systematic review and meta-analysis. Eur J Trauma Emerg Surg 48(3):1555–1567 [DOI] [PubMed] [Google Scholar]
- 35.Scahill RI, Zeun P, Osborne-Crowley K, Johnson EB, Gregory S, Parker C, Lowe J, Nair A, O’Callaghan C, Langley C et al (2020) Biological and clinical characteristics of gene carriers far from predicted onset in the Huntington’s disease Young Adult Study (HD-YAS): a cross-sectional analysis. Lancet Neurol 19(6):502–512 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Rojas JC, Wang P, Staffaroni AM, Heller C, Cobigo Y, Wolf A, Goh SM, Ljubenkov PA, Heuer HW, Fong JC et al (2021) Plasma neurofilament light for prediction of disease progression in familial frontotemporal lobar degeneration. Neurology 96(18):e2296–e2312 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Dietmann AS, Kruse N, Stork L, Gloth M, Brück W, Metz I (2023) Neurofilament light chains in serum as biomarkers of axonal damage in early MS lesions: a histological-serological correlative study. J Neurol 270(3):1416–1429 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Barro C, Chitnis T, Weiner HL (2020) Blood neurofilament light: a critical review of its application to neurologic disease. Ann Clin Transl Neurol 7:2508–2523 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Kuhle J, Kropshofer H, Haering DA, Kundu U, Meinert R, Barro C, Dahlke F, Tomic D, Leppert D, Kappos L (2019) Blood neurofilament light chain as a biomarker of MS disease activity and treatment response. Neurology 92:e1007–e1015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Thebault S, Booth RA, Freedman MS (2020) Blood neurofilament light chain: the neurologist’s troponin? Biomedicines. 10.3390/biomedicines8110523 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.U.S. Food and Drug Administration (2023). FDA approved treatment of amyotrophic lateral sclerosis associated with a mutation in the SOD1 gene. https://www.fda.gov/drugs/news-events-human-drugs/fda-approves-treatment-amyotrophic-lateral-sclerosis-associated-mutation-sod1-gene. Accessed 09 Apr 2026
- 42.QALSODY United States Prescribing Information (USPI) (last revised: 2023). https://www.biogencdn.com/us/pdfs/qalsody-prescribing-information.pdf. Accessed 09 Apr 2026
- 43.Simrén J, Andreasson U, Gobom J, Suarez Calvet M, Borroni B, Gillberg C, Nyberg L, Ghidoni R, Fernell E, Johnson M, Depypere H et al (2022) Establishment of reference values for plasma neurofilament light based on healthy individuals aged 5–90 years. Brain Commun 4(4):fcac174 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Abdelhak A, Petermeier F, Benkert P, Schädelin S, Oechtering J, Maleska Maceski A, Kabesch M, Geis T, Laub O, Leipold G et al (2023) Serum neurofilament light chain reference database for individual application in paediatric care: a retrospective modelling and validation study. Lancet Neurol 22(9):826–833 [DOI] [PubMed] [Google Scholar]
- 45.Welford RWD, Farine H, Steiner M, Garzotti M, Dobrenis K, Sievers C, Strasser DS, Amraoui Y, Groenen PMA, Giugliani R et al (2022) Plasma neurofilament light, glial fibrillary acidic protein and lysosphingolipid biomarkers for pharmacodynamics and disease monitoring of GM2 and GM1 gangliosidoses patients. Mol Genet Metab Rep 30:100843 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Steiner MA, Vaillant C, Garzotti M et al (2026) Sinbaglustat is efficacious in GM2 gangliosidosis primarily through inhibition of GBA2 rather than GCS. Mol Ther Adv. 10.1016/j.omta.2025.201658 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Tsourmas KI, Butler CA, Kwang NE et al (2025) Microglial replacement in a Sandhoff disease mouse model reveals myeloid-derived β-hexosaminidase is necessary for neuronal health. Nat Commun 16:7994 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Ru Y, Corado C, Soon RK Jr, Melton AC, Harris A, Yu GK, Pryer N, Sinclair JR, Katz ML, Ajayi T et al (2019) Neurofilament light is a treatment-responsive biomarker in CLN2 disease. Ann Clin Transl Neurol 6:2437–2447 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Bhalla A, Ravi R, Fang M, Arguello A, Davis SS, Chiu CL, Blumenfeld JR, Nguyen HN, Earr TK, Wang J et al (2020) Characterization of fluid biomarkers reveals lysosome dysfunction and neurodegeneration in neuronopathic MPS II patients. Int J Mol Sci. 10.3390/ijms21155188 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Schulz A, Ajayi T, Specchio N, de Los RE, Gissen P, Ballon D, Dyke JP, Cahan H, Slasor P, Jacoby D et al (2018) Study of intraventricular cerliponase alfa for CLN2 disease. N Engl J Med 378:1898–1907 [DOI] [PubMed] [Google Scholar]
- 51.Argueta C, Brekk OR, Wang S, Feng Q, Ahmed M, McDonnell SRP, Pan L, Plavina T, Whiteman DAH (2025) A link between baseline neurofilament light chain and primary substrate accumulation in cerebrospinal fluid, and clinical outcomes in patients with MPS II from a phase 2/3 clinical trial and extension study of intrathecal idursulfase. Mol Genet Metab 144(3):109055 [DOI] [PubMed] [Google Scholar]
- 52.Svarny L, Agha A, Dao J, Sandhu B, Ivanova M, Goker-Alpan O (2025) The clinical utility of neurofilament light chain for early detection and prediction of disease burden and severity in neuronopathic Gaucher disease. Mol Genet Metab 145(4):109181 [DOI] [PubMed] [Google Scholar]
- 53.Dardis A, Pavan E, Fabris M, Da Riol RM, Sechi A, Fiumara A, Santoro L, Ormazabal M, Milanic R, Zampieri S et al (2021) Plasma Neurofilament light (NfL) in patients affected by Niemann-pick type C disease (NPCD). J Clin Med 10(20):4796 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Beerepoot S, Heijst H, Roos B, Wamelink MMC, Boelens JJ, Lindemans CA, van Hasselt PM, Jacobs EH, van der Knaap MS, Teunissen CE et al (2022) Neurofilament light chain and glial fibrillary acidic protein levels in metachromatic leukodystrophy. Brain 145(1):105–118 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Dang Do AN, Sinaii N, Masvekar RR, Baker EH, Thurm AE, Soldatos AG, Bianconi SE, Bielekova B, Porter FD (2021) Neurofilament light chain levels correlate with clinical measures in CLN3 disease. Genet Med 23(4):751–757 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Churchill GC, Strupp M, Factor C, Bremova-Ertl T, Factor M, Patterson MC, Platt FM, Galione A (2021) Acetylation turns leucine into a drug by membrane transporter switching. Sci Rep 11(1):15812 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Kaya E, Smith DA, Smith C, Morris L, Bremova-Ertl T, Cortina-Borja M, Fineran P, Morten KJ, Poulton J, Boland B et al (2020) Acetyl-leucine slows disease progression in lysosomal storage disorders. Brain Commun 3(1):fcaa148 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Davis LC, Brain R, Churchill G, Factor M, Fields T, Platt F, Patterson M, Strupp M, Galione A (2025) Stereospecific rapid activation of transcription factor EB (TFEB) by levacetylleucine (NALL). bioRxiv. 10.1101/2025.06.06.657607v141847044 [Google Scholar]
- 59.Song P, Chen C, Franchini R, Duong B, Wang YZ, Coukos R, Xie Z, Savas JN, Zhou Y, Bertoldi M et al (2026) N-acetyl-L-leucine lowers α-synuclein levels and improves synaptic function in Parkinson’s disease models. J Clin Invest 136(5):e196137 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Hegdekar N, Lipinski MM, Sarkar C (2021) N-acetyl-L-leucine improves functional recovery and attenuates cortical cell death and neuroinflammation after traumatic brain injury in mice. Sci Rep 11(1):9249 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Vibert N, Vidal PP (2001) In vitro effects of acetyl-DL-leucine (Tanganil) on central vestibular neurons and vestibulo-ocular networks of the guinea-pig. Eur J Neurosci 13:735–748 [DOI] [PubMed] [Google Scholar]
- 62.Günther L, Beck R, Xiong G, Potschka H, Jahn K et al (2015) N-acetyl-L-leucine accelerates vestibular compensation after unilateral labyrinthectomy by action in the cerebellum and thalamus. PLoS ONE 10:e0120891 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.te Vruchte D, Galione A, Strupp M, Mann M (2019) Effects of N-Acetyl-Leucine and its enantiomers in Niemann-Pick disease type C cells. bioRxiv. 10.1101/826222v1 [Google Scholar]
- 64.Bremova-Ertl T, Platt F, Strupp M (2020) Sandhoff disease: improvement of gait by acetyl-DL-leucine: a case report. Neuropediatrics 51(6):450–452 [DOI] [PubMed] [Google Scholar]
- 65.Martakis K, Claassen J, Gascon-Bayari J, Goldschagg N, Hahn A, Hassan A, Hennig A, Jones S, Kay R, Lau H et al (2023) Efficacy and safety of N-acetyl-l-leucine in children and adults with GM2 gangliosidoses. Neurology 100(10):e1072–e1083 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Bremova-Ertl T, Claassen J, Foltan T, Gascon-Bayarri J, Gissen P, Hahn A, Hassan A, Hennig A, Jones SA, Kolnikova M et al (2022) Efficacy and safety of N-acetyl-L-leucine in Niemann-Pick disease type C. J Neurol 269(3):1651–1662 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Bremova-Ertl T, Ramaswami U, Brands M, Foltan T, Gautschi M, Gissen P, Gowing F, Hahn A, Jones S, Kay R et al (2024) Trial of N-acetyl-l-leucine in Niemann-Pick disease type C. N Engl J Med 390(5):421–431 [DOI] [PubMed] [Google Scholar]
- 68.Patterson MC, Ramaswami U, Donald A, Foltan T, Gautschi M, Gissen P, Hahn A, Jones SA, Kay R, Kolniková M et al (2025) Disease-modifying, neuroprotective effect of N-acetyl-l-leucine in adult and pediatric patients with Niemann–Pick disease type C. Neurology 105(1):e213589 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.U.S. Food and Drug Administration. FDA approves new drug to treat Niemann-Pick disease, type C [Internet]. Silver Spring (MD): U.S. Food and Drug Administration. https://www.fda.gov/news-events/press-announcements/fda-approves-new-drug-treat-niemann-pick-disease-type-c. Accessed 09 Apr 2026
- 70.European Medicines Agency. Aqneursa. Amsterdam: European Medicines Agency. https://www.ema.europa.eu/en/medicines/human/EPAR/aqneursa. Accessed 09 Apr 2026
- 71.Schmitz-Hübsch T, du Montcel ST, Baliko L, Berciano J, Boesch S, Depondt C, Giunti P, Globas C, Infante J, Kang JS (2006) Scale for the assessment and rating of ataxia: development of a new clinical scale. Neurology 66(11):1717–1720 [DOI] [PubMed] [Google Scholar]
- 72.Iturriaga C, Pineda M, Fernández-Valero EM, Vanier MT, Coll MJ (2006) Niemann-Pick C disease in Spain: clinical spectrum and development of a disability scale. J Neurol Sci 249(1):1–6 [DOI] [PubMed] [Google Scholar]
- 73.Quanterix Corporation (2024). Simoa® Neurology 4-Plex E Advantage PLUS Kit HD-X Data Sheet. https://www.quanterix.com/wp-content/uploads/2024/02/Neurology-4-Plex-E-Advantage-PLUS-Data-Sheet.pdf. Accessed 09 Apr 2026
- 74.Seabold S, Perktold J. (2010) Statsmodels: econometric and statistical modeling with Python. In: Proceedings of the 9th Python in Science Conference (SciPy 2010); 92–96
- 75.U.S. Food and Drug Administration (2024) Expedited program for serious conditions—Accelerated approval of drugs and biologics: guidance for industry (draft guidance). Accessed 17 Jun 2026. Available from: FDA Guidance Document
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated and/or analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.





