Abstract
The discovery, development, and validation of novel candidate biomarkers in Alzheimer’s disease (AD) and other neurodegenerative diseases (NDs) are increasingly gaining momentum. As a result, evolving diagnostic research criteria of NDs are beginning to integrate biofluid and neuroimaging indicators of pathophysiological mechanisms. More than 10% of people aged over 65 suffer from NDs. There is an urgent need for a refined two-stage diagnostic model to first initiate an early, sensitive, and noninvasive process in primary care settings. Individuals that meet detection criteria will then be channeled to more specific, costly (positron-emission tomography), and invasive (cerebrospinal fluid) assessment methods for confirmatory biological characterization and diagnosis.
A reliable and sensitive blood test for AD and other NDs is not yet established; however, it would provide the golden screening gate for an efficient primary care management. A limitation to the development of a large-scale blood-screening biomarker-based test is the traditional application of clinically descriptive criteria for the categorization of single late-stage ND constructs. These are genetically and biologically heterogeneous, reflected in multiple pathophysiological mechanisms and subsequent pathologies throughout a dimensional continuum. Evidence suggests that a shared, “open-source” integrated multilevel categorization of NDs that clusters individuals based on descriptive clinical phenotypes and pathophysiological biomarker signatures will provide the next incremental step toward an improved diagnostic process of NDs. This intermediate objective toward unbiased biomarker-guided early detection of individuals at risk for NDs is currently carried out by the international pilot Alzheimer Precision Medicine Initiative Cohort Program (APMI-CP).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kovacs GG (2016) Molecular pathological classification of neurodegenerative diseases: turning towards precision medicine. Int J Mol Sci 17:pii: E189. https://doi.org/10.3390/ijms17020189
Baldacci F, Lista S, Garaci F et al (2016) Biomarker-guided classification scheme of neurodegenerative diseases. J Sport Health Sci 5:383–387. https://doi.org/10.1016/j.jshs.2016.08.007
Hampel H, O’Bryant SE, Castrillo JI et al (2016) Precision medicine—the golden gate for detection, treatment and prevention of Alzheimer’s disease. J Prev Alz Dis 3:243–259. https://doi.org/10.14283/jpad.2016.112
Biomarkers Definitions Working Group (2001) Biomarkers and surrogate endpoints: preferred definitions and conceptual framework. Clin Pharmacol Ther 69:89–95. https://doi.org/10.1067/mcp.2001.113989
Hampel H, Lista S, Khachaturian ZS (2012) Development of biomarkers to chart all Alzheimer’s disease stages: the royal road to cutting the therapeutic Gordian Knot. Alzheimers Dement J Alzheimers Assoc 8:312–336. https://doi.org/10.1016/j.jalz.2012.05.2116
Blennow K, Hampel H, Weiner M, Zetterberg H (2010) Cerebrospinal fluid and plasma biomarkers in Alzheimer disease. Nat Rev Neurol 6:131–144. https://doi.org/10.1038/nrneurol.2010.4
Hampel H, Lista S (2013) Use of biomarkers and imaging to assess pathophysiology, mechanisms of action and target engagement. J Nutr Health Aging 17:54–63. https://doi.org/10.1007/s12603-013-0003-1
Blennow K, Hampel H, Zetterberg H (2014) Biomarkers in amyloid-β immunotherapy trials in Alzheimer’s disease. Neuropsychopharmacol Off Publ Am Coll Neuropsychopharmacol 39:189–201. https://doi.org/10.1038/npp.2013.154
O’Bryant SE, Mielke MM, Rissman RA et al (2017) Blood-based biomarkers in Alzheimer disease: current state of the science and a novel collaborative paradigm for advancing from discovery to clinic. Alzheimers Dement J Alzheimers Assoc 13:45–58. https://doi.org/10.1016/j.jalz.2016.09.014
Hampel H, Frank R, Broich K et al (2010) Biomarkers for Alzheimer’s disease: academic, industry and regulatory perspectives. Nat Rev Drug Discov 9:560–574. https://doi.org/10.1038/nrd3115
Vellas B, Carrillo MC, Sampaio C et al (2013) Designing drug trials for Alzheimer’s disease: what we have learned from the release of the phase III antibody trials: a report from the EU/US/CTAD Task Force. Alzheimers Dement J Alzheimers Assoc 9:438–444. https://doi.org/10.1016/j.jalz.2013.03.007
Lista S, Dubois B, Hampel H (2015) Paths to Alzheimer’s disease prevention: from modifiable risk factors to biomarker enrichment strategies. J Nutr Health Aging 19:154–163. https://doi.org/10.1007/s12603-014-0515-3
Brooks BR (1994) El Escorial World Federation of Neurology criteria for the diagnosis of amyotrophic lateral sclerosis. Subcommittee on Motor Neuron Diseases/Amyotrophic Lateral Sclerosis of the World Federation of Neurology Research Group on Neuromuscular Diseases and the El Escorial “Clinical limits of amyotrophic lateral sclerosis” workshop contributors. J Neurol Sci 124(Suppl):96–107
Al-Chalabi A, Hardiman O, Kiernan MC et al (2016) Amyotrophic lateral sclerosis: moving towards a new classification system. Lancet Neurol 15:1182–1194. https://doi.org/10.1016/S1474-4422(16)30199-5
Vu LT, Bowser R (2016) Fluid-based biomarkers for amyotrophic lateral sclerosis. Neurother J Am Soc Exp Neurother 14:119–134. https://doi.org/10.1007/s13311-016-0503-x
Dubois B, Feldman HH, Jacova C et al (2007) Research criteria for the diagnosis of Alzheimer’s disease: revising the NINCDS-ADRDA criteria. Lancet Neurol 6:734–746. https://doi.org/10.1016/S1474-4422(07)70178-3
Dubois B, Feldman HH, Jacova C et al (2014) Advancing research diagnostic criteria for Alzheimer’s disease: the IWG-2 criteria. Lancet Neurol 13:614–629. https://doi.org/10.1016/S1474-4422(14)70090-0
McKhann GM, Knopman DS, Chertkow H et al (2011) The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement J Alzheimers Assoc 7:263–269. https://doi.org/10.1016/j.jalz.2011.03.005
Albert MS, DeKosky ST, Dickson D et al (2011) The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement J Alzheimers Assoc 7:270–279. https://doi.org/10.1016/j.jalz.2011.03.008
Jack CR, Bennett DA, Blennow K et al (2016) A/T/N: an unbiased descriptive classification scheme for Alzheimer disease biomarkers. Neurology 87:539–547. https://doi.org/10.1212/WNL.0000000000002923
Sperling RA, Aisen PS, Beckett LA et al (2011) Toward defining the preclinical stages of Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement J Alzheimers Assoc 7:280–292. https://doi.org/10.1016/j.jalz.2011.03.003
Jack CR, Knopman DS, Jagust WJ et al (2013) Tracking pathophysiological processes in Alzheimer’s disease: an updated hypothetical model of dynamic biomarkers. Lancet Neurol 12:207–216. https://doi.org/10.1016/S1474-4422(12)70291-0
Postuma RB, Berg D, Stern M et al (2015) MDS clinical diagnostic criteria for Parkinson’s disease. Mov Disord Off J Mov Disord Soc 30:1591–1601. https://doi.org/10.1002/mds.26424
Dubois B, Feldman HH, Jacova C et al (2010) Revising the definition of Alzheimer’s disease: a new lexicon. Lancet Neurol 9:1118–1127. https://doi.org/10.1016/S1474-4422(10)70223-4
Berg D, Postuma RB, Adler CH et al (2015) MDS research criteria for prodromal Parkinson’s disease. Mov Disord Off J Mov Disord Soc 30:1600–1611. https://doi.org/10.1002/mds.26431
McKeith IG, Dickson DW, Lowe J et al (2005) Diagnosis and management of dementia with Lewy bodies: third report of the DLB Consortium. Neurology 65:1863–1872. https://doi.org/10.1212/01.wnl.0000187889.17253.b1
Gorno-Tempini ML, Hillis AE, Weintraub S et al (2011) Classification of primary progressive aphasia and its variants. Neurology 76:1006–1014. https://doi.org/10.1212/WNL.0b013e31821103e6
Piguet O, Hornberger M, Mioshi E, Hodges JR (2011) Behavioural-variant frontotemporal dementia: diagnosis, clinical staging, and management. Lancet Neurol 10:162–172. https://doi.org/10.1016/S1474-4422(10)70299-4
Gilman S, Wenning GK, Low PA et al (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
Litvan I, Agid Y, Calne D et al (1996) Clinical research criteria for the diagnosis of progressive supranuclear palsy (Steele-Richardson-Olszewski syndrome): report of the NINDS-SPSP international workshop. Neurology 47:1–9
Armstrong MJ, Litvan I, Lang AE et al (2013) Criteria for the diagnosis of corticobasal degeneration. Neurology 80:496–503. https://doi.org/10.1212/WNL.0b013e31827f0fd1
Chen-Plotkin AS (2014) Unbiased approaches to biomarker discovery in neurodegenerative diseases. Neuron 84:594–607. https://doi.org/10.1016/j.neuron.2014.10.031
Ahmed RM, Devenney EM, Irish M et al (2016) Neuronal network disintegration: common pathways linking neurodegenerative diseases. J Neurol Neurosurg Psychiatry 87:1234–1241. https://doi.org/10.1136/jnnp-2014-308350
Pievani M, Filippini N, van den Heuvel MP et al (2014) Brain connectivity in neurodegenerative diseases—from phenotype to proteinopathy. Nat Rev Neurol 10:620–633. https://doi.org/10.1038/nrneurol.2014.178
Warren JD, Rohrer JD, Schott JM et al (2013) Molecular nexopathies: a new paradigm of neurodegenerative disease. Trends Neurosci 36:561–569. https://doi.org/10.1016/j.tins.2013.06.007
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 J Alzheimers Assoc 8:1–13. https://doi.org/10.1016/j.jalz.2011.10.007
Skrobot OA, Attems J, Esiri M et al (2016) Vascular cognitive impairment neuropathology guidelines (VCING): the contribution of cerebrovascular pathology to cognitive impairment. Brain 139:2957–2969. https://doi.org/10.1093/brain/aww214
Kovacs GG, Milenkovic I, Wöhrer A et al (2013) Non-Alzheimer neurodegenerative pathologies and their combinations are more frequent than commonly believed in the elderly brain: a community-based autopsy series. Acta Neuropathol (Berl) 126:365–384. https://doi.org/10.1007/s00401-013-1157-y
Hampel H, O’Bryant SE, Durrleman S et al (2017) A precision medicine initiative for Alzheimer’s disease: the road ahead to biomarker-guided integrative disease modeling. Climacteric 20:107–118. https://doi.org/10.1080/13697137.2017.1287866
Lista S, Khachaturian ZS, Rujescu D et al (2016) Application of systems theory in longitudinal studies on the origin and progression of Alzheimer’s disease. Methods Mol Biol Clifton NJ 1303:49–67. https://doi.org/10.1007/978-1-4939-2627-5_2
Vidal M (2009) A unifying view of 21st century systems biology. FEBS Lett 583:3891–3894. https://doi.org/10.1016/j.febslet.2009.11.024
Geerts H, Dacks PA, Devanarayan V et al (2016) Big data to smart data in Alzheimer’s disease: the brain health modeling initiative to foster actionable knowledge. Alzheimers Dement J Alzheimers Assoc 12:1014–1021. https://doi.org/10.1016/j.jalz.2016.04.008
Haas M, Stephenson D, Romero K et al (2016) Big data to smart data in Alzheimer’s disease: real-world examples of advanced modeling and simulation. Alzheimers Dement J Alzheimers Assoc 12:1022–1030. https://doi.org/10.1016/j.jalz.2016.05.005
Carrillo MC, Bain LJ, Frisoni GB, Weiner MW (2012) Worldwide Alzheimer’s disease neuroimaging initiative. Alzheimers Dement J Alzheimers Assoc 8:337–342. https://doi.org/10.1016/j.jalz.2012.04.007
Parkinson Progression Marker Initiative (2011) The Parkinson Progression Marker Initiative (PPMI). Prog Neurobiol 95:629–635. https://doi.org/10.1016/j.pneurobio.2011.09.005
McCann H, Stevens CH, Cartwright H, Halliday GM (2014) α-Synucleinopathy phenotypes. Parkinsonism Relat Disord 20(Suppl 1):S62–S67. https://doi.org/10.1016/S1353-8020(13)70017-8
Reitz C (2016) Toward precision medicine in Alzheimer’s disease. Ann Transl Med 4:107. https://doi.org/10.21037/atm.2016.03.05
Group F-NBW (2016) FDA-NIH Biomarker Working Group. Food and Drug Administration (US)
O’Bryant SE, Edwards M, Johnson L et al (2016) A blood screening test for Alzheimer’s disease. Alzheimers Dement (Amst) 3:83–90. https://doi.org/10.1016/j.dadm.2016.06.004
Henchcliffe C, Dodel R, Beal MF (2011) Biomarkers of Parkinson’s disease and dementia with Lewy bodies. Prog Neurobiol 95:601–613. https://doi.org/10.1016/j.pneurobio.2011.09.002
Ho GJ, Liang W, Waragai M et al (2011) Bridging molecular genetics and biomarkers in Lewy body and related disorders. Int J Alzheimers Dis 2011:e842475. https://doi.org/10.4061/2011/842475
Shtilbans A, Henchcliffe C (2012) Biomarkers in Parkinson’s disease: an update. Curr Opin Neurol 25:460–465. https://doi.org/10.1097/WCO.0b013e3283550c0d
Durrenberger PF, Fernando FS, Kashefi SN et al (2015) Common mechanisms in neurodegeneration and neuroinflammation: a BrainNet Europe gene expression microarray study. J Neural Transm (Vienna) 122:1055–1068. https://doi.org/10.1007/s00702-014-1293-0
Heneka MT, Kummer MP, Latz E (2014) Innate immune activation in neurodegenerative disease. Nat Rev Immunol 14:463–477. https://doi.org/10.1038/nri3705
Acknowledgments
S.E.O. is supported by the National Institute on Aging of the National Institutes of Health under Award Numbers R01AG051848 and R56AG054073. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
H.H. is supported by the AXA Research Fund, the “Fondation Université Pierre et Marie Curie” and the “Fondation pour la Recherche sur Alzheimer,” Paris, France. Ce travail a bénéficié d’une aide de l’Etat “Investissements d’avenir” ANR-10-IAIHU-06. The research leading to these results has received funding from the program “Investissements d’avenir” ANR-10-IAIHU-06 (Agence Nationale de la Recherche-10-IA Agence Institut Hospitalo-Universitaire-6).
Disclosure Statement
S.L. received lecture honoraria from Roche. H.H. reports no conflict of interest with the content of the present manuscript. He serves as Senior Associate Editor for the Journal Alzheimer’s & Dementia; he has been a scientific consultant and/or speaker and/or attended scientific advisory boards of Axovant, Anavex, Eli Lilly and company, GE Healthcare, Cytox Ltd., Jung Diagnostics GmbH, Roche, Biogen Idec, Takeda-Zinfandel, Oryzon Genomics, and Qynapse; and he receives research support from the Association for Alzheimer Research (Paris), Pierre and Marie Curie University (Paris), and Pfizer & Avid (paid to institution); and he has patents, but receives no royalties. F.B., S.E.O., R.C., and N.T. declare no conflicts of interest.
Author information
Authors and Affiliations
Consortia
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Science+Business Media, LLC
About this protocol
Cite this protocol
Baldacci, F. et al. (2018). Blood-Based Biomarker Screening with Agnostic Biological Definitions for an Accurate Diagnosis Within the Dimensional Spectrum of Neurodegenerative Diseases. In: Perneczky, R. (eds) Biomarkers for Alzheimer’s Disease Drug Development. Methods in Molecular Biology, vol 1750. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7704-8_9
Download citation
DOI: https://doi.org/10.1007/978-1-4939-7704-8_9
Published:
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-7703-1
Online ISBN: 978-1-4939-7704-8
eBook Packages: Springer Protocols