Literature DB >> 24142092

Mild cognitive impairment. Part 2: Biological markers for diagnosis and prediction of dementia in Alzheimer's disease.

Orestes V Forlenza1, Breno S Diniz, Antonio L Teixeira, Florindo Stella, Wagner Gattaz.   

Abstract

OBJECTIVE: To present a critical review of publications reporting on the rationale and clinical implications of the use of biomarkers for the early diagnosis of Alzheimer's disease (AD).
METHODS: We conducted a systematic search of the PubMed and Web of Science electronic databases, limited to articles published in English between 1999 and 2012, and based on the following terms: mild cognitive impairment, Alzheimer's disease OR dementia, biomarkers. We retrieved 1,130 articles, of which 175 were reviews. Overall, 955 original articles were eligible.
RESULTS: The following points were considered relevant for the present review: a) rationale for biomarkers research in AD and mild cognitive impairment (MCI); b) usefulness of distinct biomarkers for the diagnosis and prediction of AD; c) the role of multimodality biomarkers for the diagnosis and prediction of AD; d) the role of biomarkers in clinical trials of patients with AD and MCI; and e) current limitations to the widespread use of biomarkers in research and clinical settings.
CONCLUSION: Different biomarkers are useful for the early diagnosis and prediction of AD in at-risk subjects. Nonetheless, important methodological limitations need to be overcome for widespread use of biomarkers in research and clinical settings.

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Year:  2013        PMID: 24142092     DOI: 10.1590/1516-4446-2012-3505

Source DB:  PubMed          Journal:  Braz J Psychiatry        ISSN: 1516-4446            Impact factor:   2.697


  6 in total

Review 1.  Fluid and imaging biomarkers for Alzheimer's disease: Where we stand and where to head to.

Authors:  Adriane Dallanora Henriques; Andrea Lessa Benedet; Einstein Francisco Camargos; Pedro Rosa-Neto; Otávio Toledo Nóbrega
Journal:  Exp Gerontol       Date:  2018-01-04       Impact factor: 4.032

2.  Brain simulation augments machine-learning-based classification of dementia.

Authors:  Paul Triebkorn; Leon Stefanovski; Kiret Dhindsa; Margarita-Arimatea Diaz-Cortes; Patrik Bey; Konstantin Bülau; Roopa Pai; Andreas Spiegler; Ana Solodkin; Viktor Jirsa; Anthony Randal McIntosh; Petra Ritter
Journal:  Alzheimers Dement (N Y)       Date:  2022-05-15

3.  Predicting neurocognitive function with hippocampal volumes and DTI metrics in patients with Alzheimer's dementia and mild cognitive impairment.

Authors:  Geumsook Shim; Kwang-Yeon Choi; Dohyun Kim; Sang-Il Suh; Suji Lee; Hyun-Ghang Jeong; Bumseok Jeong
Journal:  Brain Behav       Date:  2017-07-30       Impact factor: 2.708

Review 4.  Tau imaging in neurodegenerative diseases.

Authors:  M Dani; D J Brooks; P Edison
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-11-16       Impact factor: 9.236

5.  A correlativity study of plasma APL1β28 and clusterin levels with MMSE/MoCA/CASI in aMCI patients.

Authors:  Ying Meng; Huiying Li; Rui Hua; Huali Wang; Jian Lu; Xin Yu; Chen Zhang
Journal:  Sci Rep       Date:  2015-10-27       Impact factor: 4.379

6.  Calcium Dysregulation in Alzheimer's Disease: A Target for New Drug Development.

Authors:  Yong Wang; Yun Shi; Huafeng Wei
Journal:  J Alzheimers Dis Parkinsonism       Date:  2017-09-15
  6 in total

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