Oscar Harari1, Carlos Cruchaga2, John S K Kauwe3, Benjamin J Ainscough4, Kelly Bales5, Eve H Pickering5, Sarah Bertelsen1, Anne M Fagan6, David M Holtzman7, John C Morris8, Alison M Goate9. 1. Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri. 2. Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, Missouri. 3. Department of Biology, Brigham Young University, Provo, Utah. 4. Division of Biology & Biomedical Sciences, Washington University School of Medicine, St. Louis, Missouri. 5. Neuroscience Research Unit, Worldwide Research and Development, Pfizer, Inc., Groton, Connecticut. 6. Department of Neurology, Washington University School of Medicine, St. Louis, Missouri; Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, Missouri; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, Missouri. 7. Department of Neurology, Washington University School of Medicine, St. Louis, Missouri; Developmental Biology, Washington University School of Medicine, St. Louis, Missouri; Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, Missouri; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, Missouri. 8. Department of Neurology, Washington University School of Medicine, St. Louis, Missouri; Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri; Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, Missouri; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, Missouri. 9. Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri; Department of Neurology, Washington University School of Medicine, St. Louis, Missouri; Department of Genetics, Washington University School of Medicine, St. Louis, Missouri; Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, Missouri; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, Missouri. Electronic address: goatea@psychiatry.wustl.edu.
Abstract
BACKGROUND: Identification of the physiologic changes that occur during the early stages of Alzheimer's disease (AD) may provide critical insights for the diagnosis, prognosis, and treatment of disease. Cerebrospinal fluid (CSF) biomarkers are a rich source of information that reflect the brain proteome. METHODS: A novel approach was applied to screen a panel of ~190 CSF analytes quantified by multiplex immunoassay, and common associations were detected in the Knight Alzheimer's Disease Research Center (N = 311) and the Alzheimer's Disease Neuroimaging Initiative (N = 293) cohorts. Rather than case-control status, the ratio of CSF levels of tau phosphorylated at threonine 181 (ptau181) and Aβ42 was used as a continuous trait in these analyses. RESULTS: The ptau181-Aβ42 ratio has more statistical power than traditional modeling approaches, and the levels of CSF heart-type fatty acid binding protein (FABP) and 12 other correlated analytes increase as AD progresses. These results were validated using the traditional case-control status model. Stratification of the dataset demonstrated that increases in these analytes occur very early in the disease course and were apparent even in nondemented individuals with AD pathology (low ptau181, low Aβ42) compared with elderly control subjects with no pathology (low ptau181, high Aβ42). The FABP-Aβ42 ratio demonstrates a similar hazard ratio for disease conversion to ptau181-Aβ42 even though the overlap in classification is incomplete suggesting that FABP contributes independent information as a predictor of AD. CONCLUSIONS: Our results indicate that the approach presented here can be used to identify novel biomarkers for AD correctly and that CSF heart FABP levels start to increase at very early stages of AD.
BACKGROUND: Identification of the physiologic changes that occur during the early stages of Alzheimer's disease (AD) may provide critical insights for the diagnosis, prognosis, and treatment of disease. Cerebrospinal fluid (CSF) biomarkers are a rich source of information that reflect the brain proteome. METHODS: A novel approach was applied to screen a panel of ~190 CSF analytes quantified by multiplex immunoassay, and common associations were detected in the Knight Alzheimer's Disease Research Center (N = 311) and the Alzheimer's Disease Neuroimaging Initiative (N = 293) cohorts. Rather than case-control status, the ratio of CSF levels of tau phosphorylated at threonine 181 (ptau181) and Aβ42 was used as a continuous trait in these analyses. RESULTS: The ptau181-Aβ42 ratio has more statistical power than traditional modeling approaches, and the levels of CSF heart-type fatty acid binding protein (FABP) and 12 other correlated analytes increase as AD progresses. These results were validated using the traditional case-control status model. Stratification of the dataset demonstrated that increases in these analytes occur very early in the disease course and were apparent even in nondemented individuals with AD pathology (low ptau181, low Aβ42) compared with elderly control subjects with no pathology (low ptau181, high Aβ42). The FABP-Aβ42 ratio demonstrates a similar hazard ratio for disease conversion to ptau181-Aβ42 even though the overlap in classification is incomplete suggesting that FABP contributes independent information as a predictor of AD. CONCLUSIONS: Our results indicate that the approach presented here can be used to identify novel biomarkers for AD correctly and that CSF heart FABP levels start to increase at very early stages of AD.
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