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Diagnostic and prognostic performance of plasma neurofilament light chain in multiple system atrophy: a cross-sectional and longitudinal study

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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.

References

  1. Poewe W, Stankovic I, Halliday G, Meissner WG, Wenning GK, Pellecchia MT, Seppi K, Palma JA, Kaufmann H (2022) Multiple system atrophy. Nat Rev Dis Primers 8:56. https://doi.org/10.1038/s41572-022-00382-6

    Article  PubMed  Google Scholar 

  2. Fanciulli A, Wenning GK (2015) Multiple-system atrophy. N Engl J Med 372:249–263. https://doi.org/10.1056/NEJMra1311488

    Article  CAS  PubMed  Google Scholar 

  3. Meissner WG, Fernagut PO, Dehay B, Péran P, Traon AP, Foubert-Samier A, Lopez Cuina M, Bezard E, Tison F, Rascol O (2019) Multiple system atrophy: recent developments and future perspectives. Mov Disord 34:1629–1642. https://doi.org/10.1002/mds.27894

    Article  PubMed  Google Scholar 

  4. Wenning GK, Stankovic I, Vignatelli L, Fanciulli A, Calandra-Buonaura G, Seppi K, Palma JA, Meissner WG, Krismer F, Berg D, Cortelli P, Freeman R, Halliday G, Höglinger G, Lang A, Ling H, Litvan I, Low P, Miki Y, Panicker J, Pellecchia MT, Quinn N, Sakakibara R, Stamelou M, Tolosa E, Tsuji S, Warner T, Poewe W, Kaufmann H (2022) The Movement Disorder Society Criteria for the diagnosis of multiple system atrophy. Mov Disord 37:1131–1148. https://doi.org/10.1002/mds.29005

    Article  PubMed  PubMed Central  Google Scholar 

  5. Koga S, Aoki N, Uitti RJ, van Gerpen JA, Cheshire WP, Josephs KA, Wszolek ZK, Langston JW, Dickson DW (2015) When DLB, PD, and PSP masquerade as MSA: an autopsy study of 134 patients. Neurology 85:404–412. https://doi.org/10.1212/wnl.0000000000001807

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Cong S, Xiang C, Wang H, Cong S (2021) Diagnostic utility of fluid biomarkers in multiple system atrophy: a systematic review and meta-analysis. J Neurol 268:2703–2712. https://doi.org/10.1007/s00415-020-09781-9

    Article  PubMed  Google Scholar 

  7. Laurens B, Constantinescu R, Freeman R, Gerhard A, Jellinger K, Jeromin A, Krismer F, Mollenhauer B, Schlossmacher MG, Shaw LM, Verbeek MM, Wenning GK, Winge K, Zhang J, Meissner WG (2015) Fluid biomarkers in multiple system atrophy: a review of the MSA Biomarker Initiative. Neurobiol Dis 80:29–41. https://doi.org/10.1016/j.nbd.2015.05.004

    Article  PubMed  Google Scholar 

  8. Coon EA, Sletten DM, Suarez MD, Mandrekar JN, Ahlskog JE, Bower JH, Matsumoto JY, Silber MH, Benarroch EE, Fealey RD, Sandroni P, Low PA, Singer W (2015) Clinical features and autonomic testing predict survival in multiple system atrophy. Brain 138:3623–3631. https://doi.org/10.1093/brain/awv274

    Article  PubMed  PubMed Central  Google Scholar 

  9. Foubert-Samier A, Pavy-Le Traon A, Guillet F, Le-Goff M, Helmer C, Tison F, Rascol O, Proust-Lima C, Meissner WG (2020) Disease progression and prognostic factors in multiple system atrophy: a prospective cohort study. Neurobiol Dis 139:104813. https://doi.org/10.1016/j.nbd.2020.104813

    Article  PubMed  Google Scholar 

  10. Low PA, Reich SG, Jankovic J, Shults CW, Stern MB, Novak P, Tanner CM, Gilman S, Marshall FJ, Wooten F, Racette B, Chelimsky T, Singer W, Sletten DM, Sandroni P, Mandrekar J (2015) Natural history of multiple system atrophy in the USA: a prospective cohort study. Lancet Neurol 14:710–719. https://doi.org/10.1016/s1474-4422(15)00058-7

    Article  PubMed  PubMed Central  Google Scholar 

  11. Wenning GK, Geser F, Krismer F, Seppi K, Duerr S, Boesch S, Köllensperger M, Goebel G, Pfeiffer KP, Barone P, Pellecchia MT, Quinn NP, Koukouni V, Fowler CJ, Schrag A, Mathias CJ, Giladi N, Gurevich T, Dupont E, Ostergaard K, Nilsson CF, Widner H, Oertel W, Eggert KM, Albanese A, del Sorbo F, Tolosa E, Cardozo A, Deuschl G, Hellriegel H, Klockgether T, Dodel R, Sampaio C, Coelho M, Djaldetti R, Melamed E, Gasser T, Kamm C, Meco G, Colosimo C, Rascol O, Meissner WG, Tison F, Poewe W (2013) The natural history of multiple system atrophy: a prospective European cohort study. Lancet Neurol 12:264–274. https://doi.org/10.1016/s1474-4422(12)70327-7

    Article  PubMed  PubMed Central  Google Scholar 

  12. Khalil M, Teunissen CE, Otto M, Piehl F, Sormani MP, Gattringer T, Barro C, Kappos L, Comabella M, Fazekas F, Petzold A, Blennow K, Zetterberg H, Kuhle J (2018) Neurofilaments as biomarkers in neurological disorders. Nat Rev Neurol 14:577–589. https://doi.org/10.1038/s41582-018-0058-z

    Article  CAS  PubMed  Google Scholar 

  13. Bacioglu M, Maia LF, Preische O, Schelle J, Apel A, Kaeser SA, Schweighauser M, Eninger T, Lambert M, Pilotto A, Shimshek DR, Neumann U, Kahle PJ, Staufenbiel M, Neumann M, Maetzler W, Kuhle J, Jucker M (2016) Neurofilament light chain in blood and CSF as marker of disease progression in mouse models and in neurodegenerative diseases. Neuron 91:494–496. https://doi.org/10.1016/j.neuron.2016.07.007

    Article  CAS  PubMed  Google Scholar 

  14. Lin CH, Li CH, Yang KC, Lin FJ, Wu CC, Chieh JJ, Chiu MJ (2019) Blood NfL: a biomarker for disease severity and progression in Parkinson disease. Neurology 93:e1104–e1111. https://doi.org/10.1212/wnl.0000000000008088

    Article  CAS  PubMed  Google Scholar 

  15. Ashton NJ, Janelidze S, Al Khleifat A, Leuzy A, van der Ende EL, Karikari TK, Benedet AL, Pascoal TA, Lleó A, Parnetti L, Galimberti D, Bonanni L, Pilotto A, Padovani A, Lycke J, Novakova L, Axelsson M, Velayudhan L, Rabinovici GD, Miller B, Pariante C, Nikkheslat N, Resnick SM, Thambisetty M, Schöll M, Fernández-Eulate G, Gil-Bea FJ, López de Munain A, Al-Chalabi A, Rosa-Neto P, Strydom A, Svenningsson P, Stomrud E, Santillo A, Aarsland D, van Swieten JC, Palmqvist S, Zetterberg H, Blennow K, Hye A, Hansson O (2021) A multicentre validation study of the diagnostic value of plasma neurofilament light. Nat Commun 12:3400. https://doi.org/10.1038/s41467-021-23620-z

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Weston PSJ, Poole T, Ryan NS, Nair A, Liang Y, Macpherson K, Druyeh R, Malone IB, Ahsan RL, Pemberton H, Klimova J, Mead S, Blennow K, Rossor MN, Schott JM, Zetterberg H, Fox NC (2017) Serum neurofilament light in familial Alzheimer disease: a marker of early neurodegeneration. Neurology 89:2167–2175. https://doi.org/10.1212/wnl.0000000000004667

    Article  PubMed  PubMed Central  Google Scholar 

  17. Illán-Gala I, Lleo A, Karydas A, Staffaroni AM, Zetterberg H, Sivasankaran R, Grinberg LT, Spina S, Kramer JH, Ramos EM, Coppola G, La Joie R, Rabinovici GD, Perry DC, Gorno-Tempini ML, Seeley WW, Miller BL, Rosen HJ, Blennow K, Boxer AL, Rojas JC (2021) Plasma tau and neurofilament light in frontotemporal lobar degeneration and Alzheimer disease. Neurology 96:e671–e683. https://doi.org/10.1212/wnl.0000000000011226

    Article  PubMed  PubMed Central  Google Scholar 

  18. Hansson O, Janelidze S, Hall S, Magdalinou N, Lees AJ, Andreasson U, Norgren N, Linder J, Forsgren L, Constantinescu R, Zetterberg H, Blennow K (2017) Blood-based NfL: a biomarker for differential diagnosis of parkinsonian disorder. Neurology 88:930–937. https://doi.org/10.1212/wnl.0000000000003680

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Vacchiano V, Mastrangelo A, Zenesini C, Masullo M, Quadalti C, Avoni P, Polischi B, Cherici A, Capellari S, Salvi F, Liguori R, Parchi P (2021) Plasma and CSF neurofilament light chain in amyotrophic lateral sclerosis: a cross-sectional and longitudinal study. Front Aging Neurosci 13:753242. https://doi.org/10.3389/fnagi.2021.753242

  20. Rojas JC, Karydas A, Bang J, Tsai RM, Blennow K, Liman V, Kramer JH, Rosen H, Miller BL, Zetterberg H, Boxer AL (2016) Plasma neurofilament light chain predicts progression in progressive supranuclear palsy. Ann Clin Transl Neurol 3:216–225. https://doi.org/10.1002/acn3.290

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Marques TM, van Rumund A, Oeckl P, Kuiperij HB, Esselink RAJ, Bloem BR, Otto M, Verbeek MM (2019) Serum NFL discriminates Parkinson disease from atypical parkinsonisms. Neurology 92:e1479–e1486. https://doi.org/10.1212/wnl.0000000000007179

    Article  PubMed  Google Scholar 

  22. Zhang L, Cao B, Hou Y, Gu X, Wei Q, Ou R, Zhao B, Luo C, Shang H (2022) Neurofilament light chain predicts disease severity and progression in multiple system atrophy. Mov Disord 37:421–426. https://doi.org/10.1002/mds.28847

    Article  CAS  PubMed  Google Scholar 

  23. Chelban V, Nikram E, Perez-Soriano A, Wilke C, Foubert-Samier A, Vijiaratnam N, Guo T, Jabbari E, Olufodun S, Gonzalez M, Senkevich K, Laurens B, Péran P, Rascol O, Le Traon AP, Todd EG, Costantini AA, Alikhwan S, Tariq A, Lin Ng B, Muñoz E, Painous C, Compta Y, Junque C, Segura B, Zhelcheska K, Wellington H, Schöls L, Jaunmuktane Z, Kobylecki C, Church A, Hu MTM, Rowe JB, Leigh PN, Massey L, Burn DJ, Pavese N, Foltynie T, Pchelina S, Wood N, Heslegrave AJ, Zetterberg H, Bocchetta M, Rohrer JD, Marti MJ, Synofzik M, Morris HR, Meissner WG, Houlden H (2022) methoidNeurofilament light levels predict clinical progression and death in multiple system atrophy. Brain. https://doi.org/10.1093/brain/awac253

  24. Gilman S, Wenning GK, Low PA, Brooks DJ, Mathias CJ, Trojanowski JQ, Wood NW, Colosimo C, Dürr A, Fowler CJ, Kaufmann H, Klockgether T, Lees A, Poewe W, Quinn N, Revesz T, Robertson D, Sandroni P, Seppi K, Vidailhet M (2008) Second consensus statement on the diagnosis of multiple system atrophy. Neurology 71:670–676. https://doi.org/10.1212/01.wnl.0000324625.00404.15

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Postuma RB, Berg D, Stern M, Poewe W, Olanow CW, Oertel W, Obeso J, Marek K, Litvan I, Lang AE, Halliday G, Goetz CG, Gasser T, Dubois B, Chan P, Bloem BR, Adler CH, Deuschl G (2015) MDS clinical diagnostic criteria for Parkinson’s disease. Mov Disord 30:1591–1601. https://doi.org/10.1002/mds.26424

    Article  PubMed  Google Scholar 

  26. Peng Y, Zhang Y, Chen Z, Peng H, Wan N, Zhang J, Tang J, Wang P, Xie Y, Cai Q, Liu S, Zhang X, Wang C, Yuan H, Li T, Wan L, Shi Y, Qiu R, Klockgether T, Tang B, Liao W, Jiang H (2020) Association of serum neurofilament light and disease severity in patients with spinocerebellar ataxia type 3. Neurology 95:e2977–e2987. https://doi.org/10.1212/wnl.0000000000010671

    Article  CAS  PubMed  Google Scholar 

  27. Vu L, An J, Kovalik T, Gendron T, Petrucelli L, Bowser R (2020) Cross-sectional and longitudinal measures of chitinase proteins in amyotrophic lateral sclerosis and expression of CHI3L1 in activated astrocytes. J Neurol Neurosurg Psychiatry 91:350–358. https://doi.org/10.1136/jnnp-2019-321916

    Article  PubMed  Google Scholar 

  28. Latourelle JC, Beste MT, Hadzi TC, Miller RE, Oppenheim JN, Valko MP, Wuest DM, Church BW, Khalil IG, Hayete B, Venuto CS (2017) Large-scale identification of clinical and genetic predictors of motor progression in patients with newly diagnosed Parkinson’s disease: a longitudinal cohort study and validation. Lancet Neurol 16:908–916. https://doi.org/10.1016/s1474-4422(17)30328-9

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Sacino AN, Brooks M, McKinney AB, Thomas MA, Shaw G, Golde TE, Giasson BI (2014) Brain injection of α-synuclein induces multiple proteinopathies, gliosis, and a neuronal injury marker. J Neurosci 34:12368–12378. https://doi.org/10.1523/jneurosci.2102-14.2014

    Article  PubMed  PubMed Central  Google Scholar 

  30. Hu X, Yang Y, Gong D (2017) Cerebrospinal fluid levels of neurofilament light chain in multiple system atrophy relative to Parkinson’s disease: a meta-analysis. Neurol Sci 38:407–414. https://doi.org/10.1007/s10072-016-2783-7

    Article  PubMed  Google Scholar 

  31. Kalia LV, Lang AE (2015) Parkinson’s disease. Lancet 386:896–912. https://doi.org/10.1016/s0140-6736(14)61393-3

    Article  CAS  PubMed  Google Scholar 

  32. Tsukamoto K, Matsusue E, Kanasaki Y, Kakite S, Fujii S, Kaminou T, Ogawa T (2012) Significance of apparent diffusion coefficient measurement for the differential diagnosis of multiple system atrophy, progressive supranuclear palsy, and Parkinson’s disease: evaluation by 3.0-T MR imaging. Neuroradiology 54:947–955. https://doi.org/10.1007/s00234-012-1009-9

    Article  PubMed  Google Scholar 

  33. Shahnawaz M, Mukherjee A, Pritzkow S, Mendez N, Rabadia P, Liu X, Hu B, Schmeichel A, Singer W, Wu G, Tsai AL, Shirani H, Nilsson KPR, Low PA, Soto C (2020) Discriminating α-synuclein strains in Parkinson’s disease and multiple system atrophy. Nature 578:273–277. https://doi.org/10.1038/s41586-020-1984-7

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Van der Perren A, Gelders G, Fenyi A, Bousset L, Brito F, Peelaerts W, Van den Haute C, Gentleman S, Melki R, Baekelandt V (2020) The structural differences between patient-derived α-synuclein strains dictate characteristics of Parkinson’s disease, multiple system atrophy and dementia with Lewy bodies. Acta Neuropathol 139:977–1000. https://doi.org/10.1007/s00401-020-02157-3

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Schmitz M, Candelise N, Canaslan S, Altmeppen HC, Matschke J, Glatzel M, Younas N, Zafar S, Hermann P, Zerr I (2023) α-Synuclein conformers reveal link to clinical heterogeneity of α-synucleinopathies. Transl Neurodegener 12:12. https://doi.org/10.1186/s40035-023-00342-4

    Article  PubMed  PubMed Central  Google Scholar 

  36. Wenning GK, Tison F, Seppi K, Sampaio C, Diem A, Yekhlef F, Ghorayeb I, Ory F, Galitzky M, Scaravilli T, Bozi M, Colosimo C, Gilman S, Shults CW, Quinn NP, Rascol O, Poewe W (2004) Development and validation of the unified multiple system atrophy rating scale (UMSARS). Mov Disord 19:1391–1402. https://doi.org/10.1002/mds.20255

    Article  PubMed  Google Scholar 

  37. Palma JA, Vernetti PM, Perez MA, Krismer F, Seppi K, Fanciulli A, Singer W, Low P, Biaggioni I, Norcliffe-Kaufmann L, Pellecchia MT, Martí MJ, Kim HJ, Merello M, Stankovic I, Poewe W, Betensky R, Wenning G, Kaufmann H (2021) Limitations of the unified multiple system atrophy rating scale as outcome measure for clinical trials and a roadmap for improvement. Clin Auton Res 31:157–164. https://doi.org/10.1007/s10286-021-00782-w

    Article  PubMed  PubMed Central  Google Scholar 

  38. Rodrigues FB, Byrne LM, Tortelli R, Johnson EB, Wijeratne PA, Arridge M, De Vita E, Ghazaleh N, Houghton R, Furby H, Alexander DC, Tabrizi SJ, Schobel S, Scahill RI, Heslegrave A, Zetterberg H, Wild EJ (2020) Mutant huntingtin and neurofilament light have distinct longitudinal dynamics in Huntington's disease. Sci Transl Med. https://doi.org/10.1126/scitranslmed.abc2888

  39. Muñoz-Lopetegi A, Berenguer J, Iranzo A, Serradell M, Pujol T, Gaig C, Muñoz E, Tolosa E, Santamaría J (2021) Magnetic resonance imaging abnormalities as a marker of multiple system atrophy in isolated rapid eye movement sleep behavior disorder. Sleep. https://doi.org/10.1093/sleep/zsaa089

  40. Chelban V, Catereniuc D, Aftene D, Gasnas A, Vichayanrat E, Iodice V, Groppa S, Houlden H (2020) An update on MSA: premotor and non-motor features open a window of opportunities for early diagnosis and intervention. J Neurol 267:2754–2770. https://doi.org/10.1007/s00415-020-09881-6

    Article  PubMed  PubMed Central  Google Scholar 

  41. Weston PSJ, Poole T, O’Connor A, Heslegrave A, Ryan NS, Liang Y, Druyeh R, Mead S, Blennow K, Schott JM, Frost C, Zetterberg H, Fox NC (2019) Longitudinal measurement of serum neurofilament light in presymptomatic familial Alzheimer’s disease. Alzheimers Res Ther 11:19. https://doi.org/10.1186/s13195-019-0472-5

    Article  PubMed  PubMed Central  Google Scholar 

  42. Preische O, Schultz SA, Apel A, Kuhle J, Kaeser SA, Barro C, Gräber S, Kuder-Buletta E, LaFougere C, Laske C, Vöglein J, Levin J, Masters CL, Martins R, Schofield PR, Rossor MN, Graff-Radford NR, Salloway S, Ghetti B, Ringman JM, Noble JM, Chhatwal J, Goate AM, Benzinger TLS, Morris JC, Bateman RJ, Wang G, Fagan AM, McDade EM, Gordon BA, Jucker M (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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. van der Ende EL, Meeter LH, Poos JM, Panman JL, Jiskoot LC, Dopper EGP, Papma JM, de Jong FJ, Verberk IMW, Teunissen C, Rizopoulos D, Heller C, Convery RS, Moore KM, Bocchetta M, Neason M, Cash DM, Borroni B, Galimberti D, Sanchez-Valle R, Laforce R Jr, Moreno F, Synofzik M, Graff C, Masellis M, Carmela Tartaglia M, Rowe JB, Vandenberghe R, Finger E, Tagliavini F, de Mendonça A, Santana I, Butler C, Ducharme S, Gerhard A, Danek A, Levin J, Otto M, Frisoni GB, Cappa S, Pijnenburg YAL, Rohrer JD, van Swieten JC (2019) Serum neurofilament light chain in genetic frontotemporal dementia: a longitudinal, multicentre cohort study. Lancet Neurol 18:1103–1111. https://doi.org/10.1016/s1474-4422(19)30354-0

    Article  CAS  PubMed  Google Scholar 

  44. Pilotto A, Imarisio A, Conforti F, Scalvini A, Masciocchi S, Nocivelli S, Turrone R, Gipponi S, Cottini E, Borroni B, Rizzetti MC, Pizzi M, Bonanni L, Sturchio A, Espay AJ, Zetterberg H, Ashton NJ, Hye A, Padovani A (2021) Plasma NfL, clinical subtypes and motor progression in Parkinson’s disease. Parkinsonism Relat Disord 87:41–47. https://doi.org/10.1016/j.parkreldis.2021.04.016

    Article  CAS  PubMed  Google Scholar 

  45. Ng ASL, Tan YJ, Yong ACW, Saffari SE, Lu Z, Ng EY, Ng SYE, Chia NSY, Choi X, Heng D, Neo S, Xu Z, Keong NCH, Tay KY, Au WL, Tan LCS, Tan EK (2020) Utility of plasma Neurofilament light as a diagnostic and prognostic biomarker of the postural instability gait disorder motor subtype in early Parkinson’s disease. Mol Neurodegener 15:33. https://doi.org/10.1186/s13024-020-00385-5

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Vijiaratnam N, Lawton M, Heslegrave AJ, Guo T, Tan M, Jabbari E, Real R, Woodside J, Grosset K, Chelban V, Athauda D, Girges C, Barker RA, Hardy J, Wood N, Houlden H, Williams N, Ben-Shlomo Y, Zetterberg H, Grosset DG, Foltynie T, Morris HR (2022) Combining biomarkers for prognostic modelling of Parkinson's disease. J Neurol Neurosurg Psychiatry. https://doi.org/10.1136/jnnp-2021-328365

  47. Mollenhauer B, Dakna M, Kruse N, Galasko D, Foroud T, Zetterberg H, Schade S, Gera RG, Wang W, Gao F, Frasier M, Chahine LM, Coffey CS, Singleton AB, Simuni T, Weintraub D, Seibyl J, Toga AW, Tanner CM, Kieburtz K, Marek K, Siderowf A, Cedarbaum JM, Hutten SJ, Trenkwalder C, Graham D (2020) Validation of serum neurofilament light chain as a biomarker of Parkinson’s disease progression. Mov Disord 35:1999–2008. https://doi.org/10.1002/mds.28206

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Zetterberg H (2016) Neurofilament light: a dynamic cross-disease fluid biomarker for neurodegeneration. Neuron 91:1–3. https://doi.org/10.1016/j.neuron.2016.06.030

    Article  CAS  PubMed  Google Scholar 

  49. Singer W (2022) Recent advances in establishing fluid biomarkers for the diagnosis and differentiation of alpha-synucleinopathies - a mini review. Clin Auton Res 32:291–297. https://doi.org/10.1007/s10286-022-00882-1

    Article  PubMed  PubMed Central  Google Scholar 

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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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Correspondence to Zhao Chen or Hong Jiang.

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This present study was approved by the Ethics Committee of Xiangya Hospital, Central South University and written informed consent was obtained from all participants.

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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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