Detection of β-amyloid positivity in Alzheimer’s Disease Neuroimaging Initiative participants with demographics, cognition, MRI and plasma biomarkers

Author:

Tosun Duygu12,Veitch Dallas2,Aisen Paul3,Jack Clifford R4ORCID,Jagust William J5ORCID,Petersen Ronald C67,Saykin Andrew J8910,Bollinger James1112,Ovod Vitaliy1112,Mawuenyega Kwasi G1112,Bateman Randall J111213,Shaw Leslie M14,Trojanowski John Q14,Blennow Kaj1516,Zetterberg Henrik15161718ORCID,Weiner Michael W12

Affiliation:

1. San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA

2. Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA

3. Alzheimer’s Therapeutic Research Institute (ATRI), Keck School of Medicine, University of Southern California, San Diego, CA, USA

4. Department of Radiology, Mayo Clinic, Rochester, MN, USA

5. School of Public Health and Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA

6. Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA

7. Department of Neurology, Mayo Clinic, Rochester, MN, USA

8. Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA

9. Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA

10. Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA

11. Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA

12. Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA

13. Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA

14. Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

15. Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden

16. Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden

17. Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK

18. UK Dementia Research Institute at UCL, London, UK

Abstract

Abstract In vivo gold standard for the ante-mortem assessment of brain β-amyloid pathology is currently β-amyloid positron emission tomography or cerebrospinal fluid measures of β-amyloid42 or the β-amyloid42/β-amyloid40 ratio. The widespread acceptance of a biomarker classification scheme for the Alzheimer’s disease continuum has ignited interest in more affordable and accessible approaches to detect Alzheimer’s disease β-amyloid pathology, a process that often slows down the recruitment into, and adds to the cost of, clinical trials. Recently, there has been considerable excitement concerning the value of blood biomarkers. Leveraging multidisciplinary data from cognitively unimpaired participants and participants with mild cognitive impairment recruited by the multisite biomarker study of Alzheimer’s Disease Neuroimaging Initiative, here we assessed to what extent plasma β-amyloid42/β-amyloid40, neurofilament light and phosphorylated-tau at threonine-181 biomarkers detect the presence of β-amyloid pathology, and to what extent the addition of clinical information such as demographic data, APOE genotype, cognitive assessments and MRI can assist plasma biomarkers in detecting β-amyloid-positivity. Our results confirm plasma β-amyloid42/β-amyloid40 as a robust biomarker of brain β-amyloid-positivity (area under curve, 0.80–0.87). Plasma phosphorylated-tau at threonine-181 detected β-amyloid-positivity only in the cognitively impaired with a moderate area under curve of 0.67, whereas plasma neurofilament light did not detect β-amyloid-positivity in either group of participants. Clinical information as well as MRI-score independently detected positron emission tomography β-amyloid-positivity in both cognitively unimpaired and impaired (area under curve, 0.69–0.81). Clinical information, particularly APOE ε4 status, enhanced the performance of plasma biomarkers in the detection of positron emission tomography β-amyloid-positivity by 0.06–0.14 units of area under curve for cognitively unimpaired, and by 0.21–0.25 units for cognitively impaired; and further enhancement of these models with an MRI-score of β-amyloid-positivity yielded an additional improvement of 0.04–0.11 units of area under curve for cognitively unimpaired and 0.05–0.09 units for cognitively impaired. Taken together, these multi-disciplinary results suggest that when combined with clinical information, plasma phosphorylated-tau at threonine-181 and neurofilament light biomarkers, and an MRI-score could effectively identify β-amyloid+ cognitively unimpaired and impaired (area under curve, 0.80–0.90). Yet, when the MRI-score is considered in combination with clinical information, plasma phosphorylated-tau at threonine-181 and plasma neurofilament light have minimal added value for detecting β-amyloid-positivity. Our systematic comparison of β-amyloid-positivity detection models identified effective combinations of demographics, APOE, global cognition, MRI and plasma biomarkers. Promising minimally invasive and low-cost predictors such as plasma biomarkers of β-amyloid42/β-amyloid40 may be improved by age and APOE genotype.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

General Earth and Planetary Sciences,General Environmental Science

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