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CSF β-Amyloid 1-42 Predicts Progression to Cognitive Impairment in Newly Diagnosed Parkinson Disease

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Abstract

Low CSF β-amyloid 1-42 has been associated with cognitive decline in advanced Parkinson’s disease; data from a single cohort suggest β-amyloid 1-42 may be an early marker of cognitive impairment. Newly diagnosed Parkinson’s participants (mean duration, 6.9 months) in the Parkinson’s Progression Markers Initiative (n = 341) were assessed at baseline (untreated state) and followed for 2 years. CSF β-amyloid 1-42, α-synuclein, total tau, and tau phosphorylated at threonine 181 were collected at baseline. Participants were classified as having cognitive impairment (CI) if scores on two of six cognitive tests were 1.5 standard deviations below the standardized mean based on published norms in healthy controls. Multivariable regression analyses were used to determine the association between baseline CSF markers with cognitive impairment, defined by neuropsychological testing performance at 2-year follow-up. Fifty-five participants (16.1 %) had CI at baseline and were not included in further analyses. Thirty-seven of the 286 participants without CI at baseline (12.9 %) developed CI at 2 years. Participants with CI at 2 years had significantly lower mean baseline CSF β-amyloid 1-42 levels than non-CI participants (343.8 vs. 380.4 pg/mL, p < 0.01); no significant difference was seen for α-synuclein, T-tau, or P-tau 181. In a regression model of 286 participants without baseline CI adjusted for age, gender, disease duration, education, motor severity, and depression status, lower baseline β-amyloid 1-42 levels were associated with higher odds of CI at 2 years. (OR10pg/mL = 1.04, 95 % CI 1.01–1.08, p < 0.05). CSF β-amyloid 1-42 level at disease onset is an independent predictor of cognitive impairment in early Parkinson’s disease.

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References

  1. Aarsland D, Andersen K, Larsen JP, Lolk A, Kragh-Sorensen P (2003) Prevalence and characteristics of dementia in Parkinson disease: an 8-year prospective study. Arch Neurol 60:387–392

    Article  PubMed  Google Scholar 

  2. Hughes TA, Ross HF, Musa S, et al. (2000) A 10-year study of the incidence of and factors predicting dementia in Parkinson’s disease. Neurology 54:1596–1602

    Article  CAS  PubMed  Google Scholar 

  3. Mollenhauer B, Trenkwalder C, von Ahsen N, et al. (2006) Beta-amlyoid 1-42 and tau-protein in cerebrospinal fluid of patients with Parkinson’s disease dementia. Dement Geriatr Cogn Disord 22:200–208

    Article  CAS  PubMed  Google Scholar 

  4. Parnetti L, Castrioto A, Chiasserini D, et al. (2013) Cerebrospinal fluid biomarkers in Parkinson disease. Nat Rev Neurol 9:131–140

    Article  CAS  PubMed  Google Scholar 

  5. Siderowf A, Xie SX, Hurtig H, et al. (2010) CSF amyloid {beta} 1-42 predicts cognitive decline in Parkinson disease. Neurology 75:1055–1061

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  6. Montine TJ, Shi M, Quinn JF, et al. (2010) CSF Abeta(42) and tau in Parkinson’s disease with cognitive impairment. Mov Disord 25:2682–2685

    Article  PubMed Central  PubMed  Google Scholar 

  7. Parnetti L, Farotti L, Eusebi P, et al. (2014) Differential role of CSF alpha-synuclein species, tau, and Abeta42 in Parkinson’s disease. Front Aging Neurosci 6:53

    Article  PubMed Central  PubMed  Google Scholar 

  8. Alves G, Bronnick K, Aarsland D, et al. (2010) CSF amyloid-beta and tau proteins, and cognitive performance, in early and untreated Parkinson’s disease: the Norwegian ParkWest study. J Neurol Neurosurg Psychiatry 81:1080–1086

    Article  PubMed  Google Scholar 

  9. Alves G, Lange J, Blennow K, et al. (2014) CSF Abeta42 predicts early-onset dementia in Parkinson disease. Neurology 82:1784–1790

    Article  CAS  PubMed  Google Scholar 

  10. Parkinson Progression Marker I (2011) The Parkinson Progression Marker Initiative (PPMI). Prog Neurobiol 95:629–635

    Article  Google Scholar 

  11. Kang JH, Irwin DJ, Chen-Plotkin AS, et al. (2013) Association of cerebrospinal fluid beta-amyloid 1-42, T-tau, P-tau181, and alpha-synuclein levels with clinical features of drug-naive patients with early Parkinson disease. JAMA Neurol 70:1277–1287

    PubMed Central  PubMed  Google Scholar 

  12. Vanderploeg RD, Schinka JA, Jones T, Small BJ, Graves AB, Mortimer JA (2000) Elderly norms for the Hopkins Verbal Learning Test-Revised. Clin Neuropsychol 14:318–324

    Article  CAS  PubMed  Google Scholar 

  13. Mitrushina MN (2005) Handbook of normative data for neuropsychological assessment, 2nd edn. Oxford University Press, New York

    Google Scholar 

  14. Groth-Marnat G (2009) Handbook of psychological assessment, 5th edn. John Wiley & Sons, Inc., Hoboken

    Google Scholar 

  15. Tombaugh TN, Kozak J, Rees L (1999) Normative data stratified by age and education for two measures of verbal fluency: FAS and animal naming. Arch Clin Neuropsychol 14:167–177

    CAS  PubMed  Google Scholar 

  16. Sheridan LK, Fitzgerald HE, Adams KM, et al. (2006) Normative Symbol Digit Modalities Test performance in a community-based sample. Arch Clin Neuropsychol 21:23–28

    Article  PubMed  Google Scholar 

  17. Weintraub D, Simuni T, Caspell-Garcia C, Coffey C, Lasch S, Siderowf A. Cognitive performance and neuropsychiatric symptoms in early, untreated Parkinson’s disease. Mov Disord 2015;In press.

  18. Compta Y, Pereira JB, Rios J, et al. (2013) Combined dementia-risk biomarkers in Parkinson’s disease: a prospective longitudinal study. Parkinsonism Relat Disord 19:717–724

    Article  PubMed  Google Scholar 

  19. Strozyk D, Blennow K, White LR, Launer LJ (2003) CSF Abeta 42 levels correlate with amyloid-neuropathology in a population-based autopsy study. Neurology 60:652–656

    Article  CAS  PubMed  Google Scholar 

  20. Fagan AM, Mintun MA, Mach RH, et al. (2006) Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Abeta42 in humans. Ann Neurol 59:512–519

    Article  CAS  PubMed  Google Scholar 

  21. Shaw LM, Vanderstichele H, Knapik-Czajka M, et al. (2011) Qualification of the analytical and clinical performance of CSF biomarker analyses in ADNI. Acta Neuropathol 121:597–609

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  22. Burack MA, Hartlein J, Flores HP, Taylor-Reinwald L, Perlmutter JS, Cairns NJ (2010) In vivo amyloid imaging in autopsy-confirmed Parkinson disease with dementia. Neurology 74:77–84

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  23. Hyman BT, Phelps CH, Beach TG, et al. (2012) National Institute on Aging-Alzheimer’s Association guidelines for the neuropathologic assessment of Alzheimer’s disease. Alzheimers Dement 8:1–13

    Article  PubMed Central  PubMed  Google Scholar 

  24. Litvan I, Goldman JG, Troster AI, et al. (2012) Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: Movement Disorder Society Task Force guidelines. Mov Disord 27:349–356

    Article  PubMed Central  PubMed  Google Scholar 

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Acknowledgments

PPMI is sponsored by the Michael J. Fox Foundation for Parkinson’s Research (MJFF) and is co-funded by MJFF, Abbvie, Avid Radiopharmaceuticals, Biogen Idec, Bristol-Myers Squibb, Covance, Eli Lilly & Co., F. Hoffman-La Roche, Ltd., GE Healthcare, Genentech, GlaxoSmithKline, Lundbeck, Merck, MesoScale, Piramal, Pfizer, and UCB.

Authors’ Contributions

For the research project, MT, KM, and RA were responsible for the conception. MT and RA were in charge of the organization and execution. During the statistical analysis, all authors contributed to the design while the execution was done by MT. All authors were responsible for the review and critique. For the manuscript preparation, writing of the first draft was assigned to MT and RA while the review and critique was done by KM and DW.

Financial Disclosures

Dr. Marder reports grants from NIH [#NS036630 (PI), 1UL1 RR024156-01(Director PCIR), PO412196- G (Co-I), and PO412196-G (Co-I)], grants from steering committee for U01NS052592, grants from Parkinson disease Foundation, and grants from MJ Fox Foundation and research funds from Teva Pharmaceuticals outside the submitted work. Dr. Weintraub received research funding from the Michael J. Fox Foundation for Parkinson’s Research, National Institutes of Health, Novartis Pharmaceuticals, Department of Veterans Affairs, and Alzheimer’s Disease Cooperative Study; honoraria from Teva Pharmaceuticals, Lundbeck Inc., Pfizer, Avanir Pharmaceuticals, Merck & Co., UCB, Bristol-Myers Squibb Company, Novartis Pharmaceuticals, Eli Lilly and Company, Clintrex LLC, Theravance, Medivation, CHDI Foundation, and Alzheimer’s Disease Cooperative Study; license fee payments from the University of Pennsylvania for the QUIP and QUIP-RS; and fees for testifying in court case related to impulse controls disorders in Parkinson’s disease (March 2013). Dr. Alcalay is supported by the Parkinson’s Disease Foundation, the National Institutes of Health (K02NS080915, NS036630, and UL1 TR000040, formerly the National Center for Research Resources, Grant Number UL1 RR024156), and the Brookdale Foundation. He consulted for Genzyme/Sanofi and Prophase.

Funding Sources

No funding sources required for this study. Data support provided by the Michael J Fox Foundation Parkinson’s Progression Markers Initiative (PPMI) study.

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Correspondence to Roy N. Alcalay.

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Terrelonge, M., Marder, K.S., Weintraub, D. et al. CSF β-Amyloid 1-42 Predicts Progression to Cognitive Impairment in Newly Diagnosed Parkinson Disease. J Mol Neurosci 58, 88–92 (2016). https://doi.org/10.1007/s12031-015-0647-x

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  • DOI: https://doi.org/10.1007/s12031-015-0647-x

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