Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Dec;271(12):7572-7582.
doi: 10.1007/s00415-024-12700-x. Epub 2024 Oct 3.

A 14-year longitudinal study of neurofilament light chain dynamics in premanifest and transitional Huntington's disease

Affiliations

A 14-year longitudinal study of neurofilament light chain dynamics in premanifest and transitional Huntington's disease

Z J Voysey et al. J Neurol. 2024 Dec.

Abstract

Background: Growing evidence supports the value of neurofilament light (NfL) as a prognostic biomarker in premanifest Huntington's disease (HD). To date, however, there has been no longitudinal study exceeding 3 years examining either its serial dynamics or predictive power in HD. We aimed to conduct the first such study.

Methods: Serum NfL was sampled using ultrasensitive immunoassay at four timepoints across a 14-year period in a cohort of HD gene carriers (n = 21) and controls (n = 14). Gene carriers were premanifest at baseline. Clinical features of HD were evaluated by Unified Huntington's Disease Rating Scale (UHDRS TMS), Montreal Cognitive Assessment (MoCA), Trail A/B task, Symbol Digit Modalities Task and semantic/phonemic fluency tasks.

Results: 14/21 HD gene carriers converted to prodromal or manifest disease by the final timepoint ("converters"). At baseline and each subsequent timepoint, NfL levels were higher in converters than in non-converters and controls (p = < 0.001-0.03, ηp2 = 0.25-0.66). The estimated rate of change in NfL was higher in converters than in non-converters (p = 0.03) and controls (p = 0.001). Baseline NfL was able to discriminate converters from non-converters (area under curve = 1.000, p = 0.003). A higher rate of change in NfL was predictive of more severe motor (UHDRS-TMS p = 0.007, β = 0.711, R2 = 0.468) and cognitive deficits (MoCA p = 0.007, β = - 0.798, R2 = 0.604; Trail B, p = 0.007, β = 0.772, R2 = 0.567; phonemic fluency p = 0.035, β = - 0.632, R2 = 0.345).

Conclusions: Our data suggest that (1) NfL longitudinal dynamics in premanifest/transitional HD are non-constant; rising faster in those closer to disease onset, and (2) NfL can identify individuals at risk of conversion to manifest disease and predict clinical trajectory, > 10 years from disease onset.

Keywords: Biomarker; Dementia; Huntington’s disease; Longitudinal; Neurodegeneration; Neurofilament light chain.

PubMed Disclaimer

Conflict of interest statement

Declarations. Conflict of interest: The authors have no relevant financial or non-financial interests to disclose, other than the position held by RA Barker (Editor of Journal of Neurology). RA Barker therefore did not assume responsibility for overseeing peer review. Ethical approval: Ethical approval was granted by local ethics committees in accordance with the 1964 Declaration of Helsinki and all participants provided written informed consent (REC 03/187 and 15/EE/0445).

Figures

Scheme 1
Scheme 1
Clinical conversion trajectory of gene carriers. X denotes timing of conversion to manifest disease, where conversion could be confirmed to within 12 months (n = 5/8)
Fig. 1
Fig. 1
A Time 4 NfL concentrations. Group differences assessed by ANOVA adjusted for age, sex, CAG repeat length and BMI. ***p < 0.001; **p < 0.01; *p < 0.05. B Linear regression analyses of Time 4 NfL concentrations versus Time 4 clinical assessment scores among all gene carriers. Linear regressions adjusted for age, sex, CAG repeat length and BMI. p values corrected for multiple comparisons by false discovery rate (Benjamini–Hochberg correction). Shaded areas reflect 95% confidence interval. Results meeting significance threshold depicted
Fig. 2
Fig. 2
A Baseline, Time 2, and Time 3 NfL concentrations by group. Group differences assessed by ANOVA adjusted for age, sex, CAG repeat length and BMI. ***p < 0.001; **p < 0.01; *p < 0.05. B Longitudinal dynamics of NfL concentrations by group. Top = individual participants. Left shaded markers indicate sampling in first half of a given timepoint period, right shaded markers indicate sampling in second half of a given timepoint period. Bottom = pooled data. Error bars = SEM. **p < 0.01; *p < 0.05 in group*time interaction adjusted for age, sex, CAG repeat length and BMI
Fig. 3
Fig. 3
A ROC curve analysis of Baseline NfL concentrations (left) and annualised rate of change in NfL (right) versus discrimination of converter from non-converter gene carriers. AUC area under curve. B Linear regression analysis of annualised rate of change in NfL concentrations and Time 4 clinical assessment scores among all gene carriers. Linear regression adjusted for age, sex, CAG repeat length and BMI. p values corrected for multiple comparisons by false discovery rate (Benjamini–Hochberg correction). Shaded areas reflect 95% confidence interval. Results meeting significance threshold depicted

References

    1. Wexler NS (2004) Venezuelan kindreds reveal that genetic and environmental factors modulate Huntington’s disease age of onset. Proc Natl Acad Sci 101(10):3498–3503 - PMC - PubMed
    1. Andrew SE, Paul Goldberg Y, Kremer B, Telenius H, Theilmann J, Adam S et al (1993) The relationship between trinucleotide (CAG) repeat length and clinical features of Huntington’s disease. Nat Genet 4(4):398–403 - PubMed
    1. Mason SL, Daws RE, Soreq E, Johnson EB, Scahill RI, Tabrizi SJ et al (2018) Predicting clinical diagnosis in Huntington’s disease: an imaging polymarker. Ann Neurol 83(3):532–543 - PMC - PubMed
    1. Long JD, Langbehn DR, Tabrizi SJ, Landwehrmeyer BG, Paulsen JS, Warner J et al (2017) Validation of a prognostic index for Huntington’s disease. Mov Disord 32(2):256–263 - PMC - PubMed
    1. Tabrizi SJ, Schobel S, Gantman EC, Mansbach A, Borowsky B, Konstantinova P et al (2022) A biological classification of Huntington’s disease: the integrated staging system. Lancet Neurol 21(7):632–644 - PubMed

LinkOut - more resources