Detection of Alzheimer's disease at mild cognitive impairment and disease progression using autoantibodies as blood‐based biomarkers

Cassandra A. DeMarshall1,2,3, Eric P. Nagele1,4, Abhirup Sarkar1,2,3, Nimish K. Acharya1,3, George Godsey2,3, Eric L. Goldwaser1,2,3, Mary Kosciuk1,3, Umashanger Thayasivam5, Min Han1,2,3, Benjamin Belinka4, Robert G. Nagele1,3,4
1Biomarker Discovery Center, New Jersey Institute for Successful Aging, Rowan University School of Osteopathic Medicine, Stratford, NJ, USA
2Graduate School of Biomedical Sciences, Rowan University, Stratford, NJ, USA
3Department of Geriatrics and Gerontology, Rowan University School of Osteopathic Medicine, Stratford, NJ, USA
4Durin Technologies, Inc., New Brunswick, NJ, USA
5Department of Mathematics, Rowan University, Glassboro, NJ, USA

Tóm tắt

AbstractIntroductionThere is an urgent need to identify biomarkers that can accurately detect and diagnose Alzheimer's disease (AD). Autoantibodies are abundant and ubiquitous in human sera and have been previously demonstrated as disease‐specific biomarkers capable of accurately diagnosing mild‐moderate stages of AD and Parkinson's disease.MethodsSera from 236 subjects, including 50 mild cognitive impairment (MCI) subjects with confirmed low CSF Aβ42 levels, were screened with human protein microarrays to identify potential biomarkers for MCI. Autoantibody biomarker performance was evaluated using Random Forest and Receiver Operating Characteristic curves.ResultsAutoantibody biomarkers can differentiate MCI patients from age‐matched and gender‐matched controls with an overall accuracy, sensitivity, and specificity of 100.0%. They were also capable of differentiating MCI patients from those with mild‐moderate AD and other neurologic and non‐neurologic controls with high accuracy.DiscussionAutoantibodies can be used as noninvasive and effective blood‐based biomarkers for early diagnosis and staging of AD.

Tài liệu tham khảo

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