Levels of plasma neurofilament light chain and cognitive function in patients with Alzheimer or Parkinson disease
Open accessAbstract
Plasma neurofilament light (NFL) has been proposed as a blood-based biomarker for neurodegeneration in Alzheimer’s disease (AD) and parkinsonian disorders. However, the relationship between plasma NFL and cognitive decline in dementia due to Parkinson’s disease (PD) remains to be elucidated. In this research, 119 AD, 56 mild cognitive impairment (MCI), 26 non-demented PD (PDND), and 23 Parkinson’s disease dementia (PDD) patients, as well as 59 cognitively healthy controls (HC) were recruited. Each subject underwent a battery of neuropsychological testing. Plasma NFL levels were measured in duplicate using an NF-Light assay and transferred onto the Simoa platform with a home-brew kit. Plasma NFL was significantly increased in the AD group, compared with the control, MCI, PDND, and PDD groups. Plasma NFL was significantly higher in the PDD group, compared with the PDND group. High plasma NFL correlated with poor cognition in AD and PD, but not with motor symptoms in PD. Plasma NFL may represent a biomarker of cognitive decline in AD and PD, with more specificity for AD.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Several studies describe an association between cognitive impairment and increased CSF and plasma NFL in AD.
“Furthermore, several studies describe association between cognitive impairment and increased CSF (Zetterberg et al., 2016) and plasma NFL (Lin et al., 2018) in AD.”
From Disrupted structural connectivity in ArcAβ mouse model of Aβ amyloidosis (2020) · cites this paper as Lin et al., 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589 · see citing works
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
The relevance of the Lewy body to the pathogenesis of idiopathic Parkinson's disease.
Gibb, W. R., & Lees, A. J. (1988) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.51.6.745 · Cited by 3,481 · see citing works
Clinical diagnostic criteria for dementia associated with Parkinson’s disease
Emre, M., Aarsland, D., Brown, R., Burn, D. J., Duyckaerts, C., Mizuno, Y., Broe, G. A., Cummings, J., Dickson, D. W., Gauthier, S., et al. (2007) · Movement Disorders · doi:10.1002/mds.21507 · Cited by 3,027 · see citing works
Serum neurofilament light: a biomarker of neuronal damage in multiple sclerosis
Disanto, G., Barro, C., Benkert, P., Naegelin, Y., Schädelin, S., Giardiello, A., Zecca, C., Blennow, K., Zetterberg, H., Leppert, D., et al. (2017) · Annals of Neurology · doi:10.1002/ana.24954 · Cited by 1,164 · see citing works
Correlations between MRI white matter lesion location and executive function and episodic memory
Smith, E. E., Salat, D. H., Jeng, J., McCreary, C. R., Fischl, B., Schmahmann, J. D., Dickerson, B. C., Viswanathan, A., Albert, M. S., Blacker, D., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e318217e7c8 · Cited by 243 · see citing works
Flagged first, then by citations
Research works printed but not linked: 30
- [1]Mattsson N Andreasson U Zetterberg H Blennow K Alzheimer’s Disease Neuroimaging I Association of Plasma Neurofilament Light With Neurodegeneration in Patients With Alzheimer Disease JAMA Neurol 2017 74 557 566 10.1001/jamaneurol.2016.6117 28346578 PMC5822204 · DOI · Paper page
- [2]Hansson O Blood-based NfL A biomarker for differential diagnosis of parkinsonian disorder Neurology 2017 88 930 937 10.1212/WNL.0000000000003680 28179466 PMC5333515 · DOI · Paper page
- [3]Rohrer JD Serum neurofilament light chain protein is a measure of disease intensity in frontotemporal dementia Neurology 2016 87 1329 1336 10.1212/wnl.0000000000003154 27581216 PMC5047041 · DOI
- [4]Lu C-H Neurofilament light chain A prognostic biomarker in amyotrophic lateral sclerosis Neurology 2015 84 2247 2257 10.1212/WNL.0000000000001642 25934855 PMC4456658 · DOI · Paper page
- [5]Constantinescu R Romer M Oakes D Rosengren L Kieburtz K Levels of the light subunit of neurofilament triplet protein in cerebrospinal fluid in Huntington’s disease Parkinsonism Relat. Disord. 2009 15 245 248 10.1016/j.parkreldis.2008.05.012 19056308 · DOI
- [6]Byrne LM Neurofilament light protein in blood as a potential biomarker of neurodegeneration in Huntington’s disease: a retrospective cohort analysis The Lancet Neurology 2017 16 601 609 10.1016/S1474-4422(17)30124-2 28601473 PMC5507767 · DOI · Paper page
- [8]Bacioglu M Neurofilament Light Chain in Blood and CSF as Marker of Disease Progression in Mouse Models and in Neurodegenerative Diseases Neuron 2016 91 56 66 10.1016/j.neuron.2016.05.018 27292537 · DOI · Paper page
- [9]Kuhle J Comparison of three analytical platforms for quantification of the neurofilament light chain in blood samples: ELISA, electrochemiluminescence immunoassay and Simoa Clin. Chem. Lab. Med. 2016 54 1655 1661 10.1515/cclm-2015-1195 27071153 · DOI · Paper page
- [11]Winblad B Mild cognitive impairment–beyond controversies, towards a consensus: report of the International Working Group on Mild Cognitive Impairment Journal of internal medicine 2004 256 240 246 10.1111/j.1365-2796.2004.01380.x 15324367 · DOI · Paper page
- [15]Folstein MF Folstein SE McHugh PR “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician Journal of psychiatric research 1975 12 189 198 10.1016/0022-3956(75)90026-6 1202204 · DOI · Paper page
- [16]Morris JC The Clinical Dementia Rating (CDR): current version and scoring rules Neurology 1993 43 2412 2414 10.1212/WNL.43.11.2412-a 8232972 · DOI · Paper page
- [17]Vanderploeg RD Elderly norms for the Hopkins Verbal Learning Test-Revised The Clinical neuropsychologist 2000 14 318 324 10.1076/1385-4046(200008)14:3;1-p;ft318 11262707 · DOI
- [18]Mack WJ Freed DM Williams BW Henderson VW Boston Naming Test: shortened versions for use in Alzheimer’s disease Journal of gerontology 1992 47 P154 158 10.1093/geronj/47.3.P154 1573197 · DOI
- [19]Harrison JE Buxton P Husain M Wise R Short test of semantic and phonological fluency: normal performance, validity and test-retest reliability The British journal of clinical psychology 2000 39 Pt 2 181 191 10.1348/014466500163202 10895361 · DOI
- [21]Goetz CG Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results Movement disorders: official journal of the Movement Disorder Society 2008 23 2129 2170 10.1002/mds.22340 19025984 · DOI · Paper page
- [22]Zhou W Plasma neurofilament light chain levels in Alzheimer’s disease Neurosci. Lett. 2017 650 60 64 10.1016/j.neulet.2017.04.027 28428015 · DOI · Paper page
- [23]Libon DJ The heterogeneity of mild cognitive impairment: A neuropsychological analysis J. Int. Neuropsychol. Soc. 2010 16 84 93 10.1017/S1355617709990993 19887015 · DOI · Paper page
- [24]Nishimura A Characterization of APOE and TOMM40 allele frequencies in the Japanese population Alzheimer’s & dementia (New York, N. Y.) 2017 3 524 530 10.1016/j.trci.2017.07.003 PMC5671626 29124110 · DOI
- [25]Zheng L Association of Apolipoprotein E (ApoE) Polymorphism with Alzheimer’s Disease in Chinese Population Current Alzheimer research 2016 13 912 917 10.2174/1567205013666160401115307 27033052 · DOI
- [26]Lee WJ Plasma MCP-1 and Cognitive Decline in Patients with Alzheimer’s Disease and Mild Cognitive Impairment: A Two-year Follow-up Study Scientific reports 2018 8 1280 10.1038/s41598-018-19807-y 29352259 PMC5775300 · DOI
- [27]Chou CT Liao YC Lee WJ Wang SJ Fuh JL SORL1 gene, plasma biomarkers, and the risk of Alzheimer’s disease for the Han Chinese population in Taiwan Alzheimer’s research & therapy 2016 8 53 10.1186/s13195-016-0222-x PMC5200969 28034305 · DOI
- [28]Bohnen NI Albin RL White matter lesions in Parkinson disease Nature Reviews Neurology 2011 7 229 10.1038/nrneurol.2011.21 21343896 PMC3739056 · DOI
- [29]Groot, J. C. D. et al. Cerebral white matter lesions and cognitive function: The Rotterdam scan study. Ann. Neurol. 47, 145–151, https://doi.org/10.1002/1531-8249(200002)47:2<145::AID-ANA3>3.0.CO;2-P (2000). 10665484 · DOI
- [31]Mattsson N CSF biomarkers in neurodegenerative diseases Clin. Chem. Lab. Med. 2011 49 345 352 10.1515/CCLM.2011.082 21303297 · DOI
- [32]Xu Y Yang J Hu X Shang H Voxel-based meta-analysis of gray matter volume reductions associated with cognitive impairment in Parkinson’s disease J. Neurol. 2016 263 1178 1187 10.1007/s00415-016-8122-3 27113603 · DOI
- [33]Lee SH Brain volumetry in Parkinson’s disease with and without dementia: where are the differences? Acta Radiol. 2013 54 581 586 10.1177/0284185113476029 23474765 · DOI
- [34]Osborn KE Cerebrospinal fluid beta-amyloid42 and neurofilament light relate to white matter hyperintensities Neurobiol. Aging 2018 68 18 25 10.1016/j.neurobiolaging.2018.03.028 29702372 PMC6085839 · DOI · Paper page
- [35]Gisslén Magnus Price Richard W. Andreasson Ulf Norgren Niklas Nilsson Staffan Hagberg Lars Fuchs Dietmar Spudich Serena Blennow Kaj Zetterberg Henrik Plasma Concentration of the Neurofilament Light Protein (NFL) is a Biomarker of CNS Injury in HIV Infection: A Cross-Sectional Study EBioMedicine 2016 3 135 140 10.1016/j.ebiom.2015.11.036 26870824 PMC4739412 · DOI · Paper page
- [36]Vågberg M Levels and Age Dependency of Neurofilament Light and Glial Fibrillary Acidic Protein in Healthy Individuals and Their Relation to the Brain Parenchymal Fraction PLoS One 2015 10 e0135886 10.1371/journal.pone.0135886 26317831 PMC4552591 · DOI
- [37]Idland Ane-Victoria Sala-Llonch Roser Borza Tom Watne Leiv Otto Wyller Torgeir Bruun Brækhus Anne Zetterberg Henrik Blennow Kaj Walhovd Kristine Beate Fjell Anders Martin CSF neurofilament light levels predict hippocampal atrophy in cognitively healthy older adults Neurobiology of Aging 2017 49 138 144 10.1016/j.neurobiolaging.2016.09.012 27794264 · DOI
Cited by
Sorted by citations
Liss, J. L., Seleri Assunção, S., Cummings, J., Atri, A., Geldmacher, D. S., Candela, S. F., Devanand, D. P., Fillit, H. M., Susman, J., Mintzer, J., et al. (2021) · Journal of Internal Medicine · doi:10.1111/joim.13244 · Cited by 312 · see citing works
Blood neurofilament light: a critical review of its application to neurologic disease
Barro, C., Chitnis, T., & Weiner, H. L. (2020) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51234 · Cited by 296 · see citing works
Forgrave, L. M., Ma, M., Best, J. R., & DeMarco, M. L. (2019) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2019.08.009 · Cited by 177 · see citing works
Sleep disturbances and dementia risk: a multicenter study
Sindi, S., Kåreholt, I., Johansson, L., Skoog, J., Sjöberg, L., Wang, H., Johansson, B., Fratiglioni, L., Soininen, H., Solomon, A., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.05.012 · Cited by 144 · see citing works
Alirezaei, Z., Pourhanifeh, M. H., Borran, S., Nejati, M., Mirzaei, H., & Hamblin, M. R. (2020) · Molecular Neurobiology · doi:10.1007/s12035-019-01698-3 · Cited by 142 · see citing works
Dhiman, K., Gupta, V. B., Villemagne, V. L., Eratne, D., Graham, P. L., Fowler, C., Bourgeat, P., Li, Q., Collins, S., Bush, A. I., et al. (2020) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1002/dad2.12005 · Cited by 93 · see citing works
Clark, C., Lewczuk, P., Kornhuber, J., Richiardi, J., Maréchal, B., Karikari, T. K., Blennow, K., Zetterberg, H., & Popp, J. (2021) · Alzheimer's Research & Therapy · doi:10.1186/s13195-021-00805-8 · Cited by 88 · see citing works
Plasma neurofilament light predicts mortality in patients with stroke
Gendron, T. F., Badi, M. K., Heckman, M. G., Jansen-West, K. R., Vilanilam, G. K., Johnson, P. W., Burch, A. R., Walton, R. L., Ross, O. A., Brott, T. G., et al. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aay1913 · Cited by 92 · see citing works
Chhatwal, J. P., Schultz, A. P., Dang, Y., Ostaszewski, B., Liu, L., Yang, H.-S., Johnson, K. A., Sperling, R. A., & Selkoe, D. J. (2020) · Nature Communications · doi:10.1038/s41467-020-19543-w · Cited by 60 · see citing works
Neurofilament light level correlates with brain atrophy, and cognitive and motor performance
Kartau, M., Melkas, S., Kartau, J., Arola, A., Laakso, H., Pitkänen, J., Lempiäinen, J., Koikkalainen, J., Lötjönen, J., Korvenoja, A., et al. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.939155 · Cited by 16 · see citing works
Lin, S.-P., Lee, W.-J., Sun, M.-C., Yang, Y.-H., Vinzons, L. U., Lin, Y.-M., & Wei, Y.-T. (2023) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.3c12766 · Cited by 11 · see citing works
Self-citationDisrupted structural connectivity in ArcAβ mouse model of Aβ amyloidosis
Al-Amin, M. M., Grandjean, J., Klohs, J., & Kim, J. (2020) · doi:10.1101/2020.04.27.064634 · Cited by 2 · see citing works
“The concentrations of NFL is increased both in the plasma (Lin et al., 2018) and CSF (Jin et al., 2019, Zetterberg et al., 2016) in AD.”
Background
- Authors
- Lin, Y.-S., Lee, W.-J., Wang, S.-J., & Fuh, J.-L.
- Affiliations
- Taipei Veterans General Hospital (TW)
- Taichung Veterans General Hospital (TW)
- Corresponding author
- Wang, Shuu-Jiun
- Fuh, Jong-Ling
- Venue
- Scientific Reports
- Published
- 2018-11-26
- Volume
- 8
- Issue
- 1
- Pages
- 17368-17368
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC6255914
- OpenAlex
- W2901388675
- Cited by
- 251
- References
- 6
- Citations by year
- 2026: 10 · 2025: 28 · 2024: 25 · 2023: 39 · 2022: 40 · 2021: 43 · 2020: 49 · 2019: 16
- FWCI
- 21.25
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Taiwan Biobank
- Academia Sinica
- Ministry of Education, India
- Ministry of Science and Technology, Taiwan (MOST107-2221-E075-006, MOST104-2745-B075-001, MOST104-2314-B075-005-MY2, MOST107-2321-B075-001)
- National Yang-Ming University
- Taipei Veterans General Hospital (V106E-006-1, V107C-032, V105D9-001-MY2-2)
- Brain Research Center, National Yang-Ming University
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Keywords
- plasma neurofilament light chain, Alzheimer's disease, Parkinson's disease, Parkinson's disease dementia, mild cognitive impairment, cognitive decline, blood-based biomarkers, neurodegeneration, Simoa single molecule array
- MeSH terms
- Aged, Alzheimer Disease, Cognition, Female, Humans, Intermediate Filaments, Male, Neuropsychological Tests, Parkinson Disease, Plasma, Sensitivity and Specificity, Biomarkers, Amyloid beta-Peptides, Neurofilament Proteins, Cognitive Dysfunction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
