Literature DB >> 23419830

CSF biomarkers for Alzheimer's pathology and the effect size of APOE ɛ4.

U Andreasson1, R Lautner1, J M Schott2, N Mattsson1, O Hansson3, S-K Herukka4, S Helisalmi4, M Ewers5, H Hampel6, A Wallin1, L Minthon3, J Hardy2, K Blennow1, H Zetterberg7.   

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Year:  2013        PMID: 23419830      PMCID: PMC3903112          DOI: 10.1038/mp.2013.18

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


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New research and clinical criteria for Alzheimer's disease (AD) have recently been proposed, which include biomarker information on Alzheimer's plaque and tangle pathology, or AD-typical structural brain changes, as supporting or essential elements of an AD diagnosis.[1, 2, 3] In a large group of patients with both genetic and cerebrospinal fluid (CSF) biomarker data, we here show that biomarker-assisted diagnosis-making almost doubles the effect size of the association between the ɛ4 variant of the apolipoprotein E (APOE) gene and AD. We included clinically diagnosed patients with either AD dementia (n=309) or mild cognitive impairment (MCI) due to AD (n=287), cognitively normal controls (n=251) and patients with MCI who remained stable over at least 2 years (n=399) or developed dementias other than AD (n=99) (Table 1, Supplementary Material). All had APOE ɛ2/ɛ3/ɛ4 genotypes and results on the CSF biomarkers total tau (T-tau), phosphorylated tau (P-tau) and the 42-amino-acid isoform of amyloid-β (Aβ42) determined. These CSF biomarkers reflect the core elements of Alzheimer's pathology[4] and are strongly associated with AD in cross-sectional as well as longitudinal follow-up studies (Supplementary Material).[5, 6] AD dementia and MCI-AD patients were first pooled into one clinical AD group (n=596) and compared with all remaining categories that were designated non-AD (n=749). A positive APOE ɛ4 carrier status (one or two ɛ4 alleles) was overrepresented in the AD group and yielded an odds ratio (OR) of 4.45 (95% confidence interval (CI) 3.52–5.62) for a clinical diagnosis of AD at inclusion or follow-up (Figure 1). This OR is similar to the AlzGene meta-analysis of APOE (3.68, 95% CI 3.30–4.11, www.alzgene.org/meta.asp?geneID=83, November 2012 freeze). Similarly, we tested the association of APOE ɛ4 with AD, comparing the 596 AD patients with the 251 cognitively normal controls, which resulted in an OR of 6.35 (95% CI 4.59–8.80).
Figure 1

Odds ratios for a positive APOE ɛ4 carrier status based on (A) clinical diagnosis, comparing patients with clinical AD with dementia at inclusion or follow-up (n=596) versus all other diagnostic groups (n=749), (B) clinical diagnosis, comparing patients with clinical AD with dementia at inclusion or follow-up (n=596) with cognitively normal subjects (n=251), (C) CSF Aβ42, comparing subjects with CSF Aβ42 below (n=779) and above (n=563) 546 ng/l, (D) CSF T-tau, comparing subjects with CSF T-tau above (n=676) and below (n=662) 446 ng/l, (E) CSF P-tau, comparing subjects with CSF P-tau above (n=497) and below (n=759) 79 ng/l, (F) CSF P-tau/Aβ42 ratio, comparing subjects with CSF P-tau/Aβ42 above and below 0.15, (G) CSF biomarker signatures, comparing subjects with an AD-indicative CSF signature with regards to all three biomarkers T-tau, P-tau and Aβ42, and subjects with a normal complete profile (cut-points specified above) and (H) CSF biomarker signatures in addition to clinical diagnosis, comparing patients with clinical AD and an AD-indicative CSF biomarker signature versus cognitively normal subjects with normal CSF biomarker results (cut-points specified above). Note that columns C-G are derived without any clinical information.

Disregarding the clinical diagnoses and subgrouping all subjects into amyloid-positive, defined as CSF Aβ42 <546 ng l−1 (n=779), and amyloid-negative, defined as CSF Aβ42 ⩾546 ng l−1 (n=563) (see Supplementary Material for details on cut-point determination), gave an OR for APOE ɛ4 as high as 6.27 (95% CI 4.93–7.98). Dichotomizing the material according to CSF T-tau or P-tau did not change the ORs as compared with clinical diagnosis only (Figure 1). Even though the OR for the ratio P-tau/Aβ42 (6.50 (95% CI 5.07–8.35)) was slightly higher than for Aβ42 alone, the difference was not statistically significant. We also compared patients, again disregarding the clinical diagnoses, who had a complete CSF biomarker signature indicative of AD, that is, low Aβ42 and both high T-tau and P-tau (n=438, see Supplementary Material for a detailed description of the signature), with subjects with a negative CSF biomarker pattern (n=414). The biomarker diagnosis strengthened the association to APOE ɛ4; the OR increased from 4.45 (95% CI 3.52–5.62) in pure clinical diagnosis to 7.66 (95% CI 5.65–10.39) in patients classified on the basis of biomarker data alone. Finally, ORs were calculated on subjects having both a clinical diagnosis and a concordant complete biomarker profile (n(AD)=324; n(control)=155). This approach resulted in an even stronger association of APOE ɛ4 with AD (OR 10.4, 95% CI 6.65–16.3). Similar effects were seen when comparing non-carriers with ɛ4 heterozygotes and homozygotes across the different diagnostic groups (Figure 1, Supplementary Material). These results have several important implications. First, APOE ɛ4 appears as strongly associated with amyloid pathology as clinical AD. Second, clinical criteria that incorporate biomarker information on Alzheimer's pathology give a stronger association with APOE ɛ4 than clinical diagnosis alone. This is compatible with the presumed higher diagnostic accuracy of the revised clinical approach,[1, 2, 3] and has also been seen in a series of neuropathologically verified AD cases and controls.[7] Third, the approach of combining clinical with biomarker data may increase the power of genetic association studies, as well as the potential to provide insights into the mechanistic pathways through which genetic risk factors may exert their effects.
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1.  Association of CR1, CLU and PICALM with Alzheimer's disease in a cohort of clinically characterized and neuropathologically verified individuals.

Authors:  Jason J Corneveaux; Amanda J Myers; April N Allen; Jeremy J Pruzin; Manuel Ramirez; Anzhelika Engel; Michael A Nalls; Kewei Chen; Wendy Lee; Kendria Chewning; Stephen E Villa; Hunsar B Meechoovet; Jill D Gerber; Danielle Frost; Hollie L Benson; Sean O'Reilly; Lori B Chibnik; Joshua M Shulman; Andrew B Singleton; David W Craig; Kendall R Van Keuren-Jensen; Travis Dunckley; David A Bennett; Philip L De Jager; Christopher Heward; John Hardy; Eric M Reiman; Matthew J Huentelman
Journal:  Hum Mol Genet       Date:  2010-06-09       Impact factor: 6.150

2.  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.

Authors:  Guy M McKhann; David S Knopman; Howard Chertkow; Bradley T Hyman; Clifford R Jack; Claudia H Kawas; William E Klunk; Walter J Koroshetz; Jennifer J Manly; Richard Mayeux; Richard C Mohs; John C Morris; Martin N Rossor; Philip Scheltens; Maria C Carrillo; Bill Thies; Sandra Weintraub; Creighton H Phelps
Journal:  Alzheimers Dement       Date:  2011-04-21       Impact factor: 21.566

3.  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.

Authors:  Marilyn S Albert; Steven T DeKosky; Dennis Dickson; Bruno Dubois; Howard H Feldman; Nick C Fox; Anthony Gamst; David M Holtzman; William J Jagust; Ronald C Petersen; Peter J Snyder; Maria C Carrillo; Bill Thies; Creighton H Phelps
Journal:  Alzheimers Dement       Date:  2011-04-21       Impact factor: 21.566

4.  CSF biomarkers for Alzheimer disease correlate with cortical brain biopsy findings.

Authors:  T T Seppälä; O Nerg; A M Koivisto; J Rummukainen; L Puli; H Zetterberg; O T Pyykkö; S Helisalmi; I Alafuzoff; M Hiltunen; J E Jääskeläinen; J Rinne; H Soininen; V Leinonen; S K Herukka
Journal:  Neurology       Date:  2012-04-18       Impact factor: 9.910

5.  CSF biomarkers and incipient Alzheimer disease in patients with mild cognitive impairment.

Authors:  Niklas Mattsson; Henrik Zetterberg; Oskar Hansson; Niels Andreasen; Lucilla Parnetti; Michael Jonsson; Sanna-Kaisa Herukka; Wiesje M van der Flier; Marinus A Blankenstein; Michael Ewers; Kenneth Rich; Elmar Kaiser; Marcel Verbeek; Magda Tsolaki; Ezra Mulugeta; Erik Rosén; Dag Aarsland; Pieter Jelle Visser; Johannes Schröder; Jan Marcusson; Mony de Leon; Harald Hampel; Philip Scheltens; Tuula Pirttilä; Anders Wallin; Maria Eriksdotter Jönhagen; Lennart Minthon; Bengt Winblad; Kaj Blennow
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6.  Association between CSF biomarkers and incipient Alzheimer's disease in patients with mild cognitive impairment: a follow-up study.

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Review 7.  Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS-ADRDA criteria.

Authors:  Bruno Dubois; Howard H Feldman; Claudia Jacova; Steven T Dekosky; Pascale Barberger-Gateau; Jeffrey Cummings; André Delacourte; Douglas Galasko; Serge Gauthier; Gregory Jicha; Kenichi Meguro; John O'brien; Florence Pasquier; Philippe Robert; Martin Rossor; Steven Salloway; Yaakov Stern; Pieter J Visser; Philip Scheltens
Journal:  Lancet Neurol       Date:  2007-08       Impact factor: 44.182

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Review 2.  Cerebrospinal Fluid Biomarkers of Alzheimer's Disease: Current Evidence and Future Perspectives.

Authors:  Donovan A McGrowder; Fabian Miller; Kurt Vaz; Chukwuemeka Nwokocha; Cameil Wilson-Clarke; Melisa Anderson-Cross; Jabari Brown; Lennox Anderson-Jackson; Lowen Williams; Lyndon Latore; Rory Thompson; Ruby Alexander-Lindo
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