Literature DB >> 20926738

Biomarkers for early detection of Alzheimer disease.

Robert C Barber1.   

Abstract

The existence of an effective biomarker for early detection of Alzheimer disease would facilitate improved diagnosis and stimulate therapeutic trials. Multidisciplinary clinical diagnosis of Alzheimer disease is time consuming and expensive and relies on experts who are rarely available outside of specialty clinics. Thus, many patients do not receive proper diagnosis until the disease has progressed beyond stages in which treatments are maximally effective. In the clinical trial setting, rapid, cost-effective screening of patients for Alzheimer disease is of paramount importance for the development of new treatments. Neuroimaging of cortical amyloid burden and volumetric changes in the brain and assessment of protein concentrations (eg, β-amyloid 1-42, total tau, phosphorylated tau) in cerebrospinal fluid are diagnostic tools that are not widely available. Known genetic markers do not provide sufficient discriminatory power between different forms of dementia to be useful in isolation. Recent studies using panels of biomarkers for diagnosis of Alzheimer disease or mild cognitive impairment have been promising, though no such studies have been cross-validated in independent samples of subjects. The ideal biomarker enabling early detection of Alzheimer disease has not yet been identified.

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Year:  2010        PMID: 20926738

Source DB:  PubMed          Journal:  J Am Osteopath Assoc        ISSN: 0098-6151


  13 in total

1.  Pathway-specific alteration of synaptic plasticity in Tg2576 mice.

Authors:  Jung Hoon Jung; Kyongman An; Oh Bin Kwon; Hye-sun Kim; Joung-Hun Kim
Journal:  Mol Cells       Date:  2011-06-01       Impact factor: 5.034

2.  A review of neuroimaging biomarkers of Alzheimer's disease.

Authors:  Tinu Varghese; R Sheelakumari; Jija S James; Ps Mathuranath
Journal:  Neurol Asia       Date:  2013       Impact factor: 0.183

Review 3.  Circulating microRNAs: a novel class of potential biomarkers for diagnosing and prognosing central nervous system diseases.

Authors:  Xue-Feng Jin; Ning Wu; Lv Wang; Jin Li
Journal:  Cell Mol Neurobiol       Date:  2013-04-30       Impact factor: 5.046

4.  Blood serum miRNA: non-invasive biomarkers for Alzheimer's disease.

Authors:  Hirosha Geekiyanage; Gregory A Jicha; Peter T Nelson; Christina Chan
Journal:  Exp Neurol       Date:  2011-12-01       Impact factor: 5.330

Review 5.  Early diagnosis of disease using microbead array technology: A review.

Authors:  Sanam Foroutan Parsa; Atieh Vafajoo; Azin Rostami; Reza Salarian; Mohammad Rabiee; Navid Rabiee; Ghazal Rabiee; Mohammadreza Tahriri; Amir Yadegari; Daryoosh Vashaee; Lobat Tayebi; Michael R Hamblin
Journal:  Anal Chim Acta       Date:  2018-05-04       Impact factor: 6.558

6.  Association of lower hemoglobin level and neuropathology in community-dwelling older persons.

Authors:  Raj C Shah; Julie A Schneider; Sue Leurgans; David A Bennett
Journal:  J Alzheimers Dis       Date:  2012       Impact factor: 4.472

7.  To Explore the Predictive Power of Visuomotor Network Dysfunctions in Mild Cognitive Impairment and Alzheimer's Disease.

Authors:  Justine Staal; Francesco Mattace-Raso; Hennie A M Daniels; Johannes van der Steen; Johan J M Pel
Journal:  Front Neurosci       Date:  2021-06-28       Impact factor: 4.677

8.  Translatability scoring in drug development: eight case studies.

Authors:  Alexandra Wendler; Martin Wehling
Journal:  J Transl Med       Date:  2012-03-07       Impact factor: 5.531

Review 9.  Meta-Review of CSF Core Biomarkers in Alzheimer's Disease: The State-of-the-Art after the New Revised Diagnostic Criteria.

Authors:  Daniel Ferreira; Lilisbeth Perestelo-Pérez; Eric Westman; Lars-Olof Wahlund; Antonio Sarría; Pedro Serrano-Aguilar
Journal:  Front Aging Neurosci       Date:  2014-03-24       Impact factor: 5.750

Review 10.  Insight into the Molecular Imaging of Alzheimer's Disease.

Authors:  Abishek Arora; Neeta Bhagat
Journal:  Int J Biomed Imaging       Date:  2016-01-10
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