Abstract
Background
The longitudinal dynamics of neurofilament light chain (NfL) in multiple system atrophy (MSA) were incompletely illuminated. This study aimed to explore whether the plasma NfL (pNfL) could serve as a potential biomarker of clinical diagnosis and disease progression for MSA.
Methods
We quantified pNfL concentrations in both a large cross-sectional cohort with 214 MSA individuals, 65 PD individuals, and 211 healthy controls (HC), and a longitudinal cohort of 84 MSA patients. Propensity score matching (PSM) was used to balance the age between the three groups. The pNfL levels between groups were compared using Kruskal–Wallis test. Linear mixed models were performed to explore the disease progression-associated factors in longitudinal MSA cohort. Random forest model as a complement to linear models was employed to quantify the importance of predictors.
Results
Before and after matching the age by PSM, the pNfL levels could reliably differentiate MSA from HC and PD groups, but only had mild potential to distinguish PD from HC. By combining linear and nonlinear models, we demonstrated that pNfL levels at baseline, rather than the change rate of pNfL, displayed potential prognostic value for progression of MSA. The combination of baseline pNfL levels and other modifiers, such as subtypes, Hoehn–Yahr stage at baseline, was first shown to improve the diagnosis accuracy.
Conclusions
Our study contributed to a better understanding of longitudinal dynamics of pNfL in MSA, and validated the values of pNfL as a non-invasive sensitive biomarker for the diagnosis and progression. The combination of pNfL and other factors is recommended for better monitoring and prediction of MSA progression.
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Data availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.
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Acknowledgements
We thank all of the participants for their involvement in this study.
Funding
This study was funded by the National Key R&D Program of China (No. 2021YFA0805200 to H Jiang), the National Natural Science Foundation of China (No. 81974176 and No. 82171254 to H Jiang; No.81901305 to C Wang), the Innovation Research Group Project of Natural Science Foundation of Hunan Province (No.2020JJ1008 to H Jiang), the Scientific Research Foundation of Health Commission of Hunan Province (No. B2019183 to H Jiang), the Key Research and Development Program of Hunan Province (No. 2020SK2064 to H Jiang), the Innovative Research and Development Program of Development and Reform Commission of Hunan Province to H Jiang, the Natural Science Foundation of Hunan Province (No. 2022JJ20094 and No.2021JJ40974 to Z Chen; No.2020JJ5925 to C Wang; No.2022JJ40783 to L He), the Central South University Research Programme of Advanced Interdisciplinary Study (No. 2023QYJC010 to H Jiang), the Project Program of National Clinical Research Center for Geriatric Disorders (Xiangya Hospital, No.2020LNJJ12 to H Jiang), the Science and Technology Innovation Program of Hunan Province (2022RC1027 to Z Chen).
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Conceptualization: LLP, LLW, MJL, ZC, BST and HJ; methodology: LLP, LLW and MJL; formal analysis and investigation: LLP, LLW, MJL, ZL, DJC, XRY, ZCT, YF, SDZ, LJL, CRW, HRP, YTS, LH, HYY, NW, XH, KX, JCL, CC, RQ, ZC and HJ; writing—original draft preparation: LLP and LLW; writing—review and editing: ZC, BST and HJ; funding acquisition: ZC, CRW, LH and HJ.
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Peng, L., Wan, L., Liu, M. et al. Diagnostic and prognostic performance of plasma neurofilament light chain in multiple system atrophy: a cross-sectional and longitudinal study. J Neurol 270, 4248–4261 (2023). https://doi.org/10.1007/s00415-023-11741-y
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DOI: https://doi.org/10.1007/s00415-023-11741-y