Literature DB >> 23493130

Cerebrospinal fluid biomarkers for pathological processes in Alzheimer's disease.

Christoffer Rosén1, Henrik Zetterberg.   

Abstract

PURPOSE OF REVIEW: To review the rationale behind and the use of cerebrospinal fluid (CSF) biomarkers in Alzheimer's disease (AD). Established as well as new candidate biomarkers will be covered. RECENT
FINDINGS: AD is a complex disorder and the AD brain is characterized by multiple pathological processes, in addition to well-described plaque and tangle diseases. Recent studies have tried to address this by evaluating biomarkers related to features such as neuroinflammation, oxidative stress, microglial activation and synaptic degeneration, with some positive results.
SUMMARY: The CSF biomarkers total tau, phosphorylated-tau and the 42 amino acid isoform of amyloid beta reflect core elements of AD, that is, axonal degeneration, tangle disease and senile plaques, have been thoroughly tested and provide high diagnostic accuracy in the discrimination of patients with AD as compared with cognitively normal controls. They are also highly predictive of AD with dementia in patients with mild cognitive impairment, and have been included in new diagnostic criteria. New biomarkers may add to their diagnostic performance. Other potential fields of use include the monitoring of disease progression or pharmacodynamic drug effects. A common denominator for the candidate biomarkers is the need for validation in further studies to clarify their potential.

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Year:  2013        PMID: 23493130     DOI: 10.1097/YCO.0b013e32835f6747

Source DB:  PubMed          Journal:  Curr Opin Psychiatry        ISSN: 0951-7367            Impact factor:   4.741


  11 in total

1.  Further evidence about the crucial role of CSF biomarkers in diagnosis of posterior cortical atrophy.

Authors:  E Coppi; L Ferrari; R Santangelo; F Caso; P Pinto; G Passerini; G Comi; G Magnani
Journal:  Neurol Sci       Date:  2014-02-02       Impact factor: 3.307

Review 2.  Cerebrospinal fluid analysis in Alzheimer's disease: technical issues and future developments.

Authors:  Simone Lista; Henrik Zetterberg; Bruno Dubois; Kaj Blennow; Harald Hampel
Journal:  J Neurol       Date:  2014-05-08       Impact factor: 4.849

Review 3.  Toward more predictive genetic mouse models of Alzheimer's disease.

Authors:  Kristen D Onos; Stacey J Sukoff Rizzo; Gareth R Howell; Michael Sasner
Journal:  Brain Res Bull       Date:  2015-12-17       Impact factor: 4.077

4.  Increased inflammation in BA21 brain tissue from African Americans with Alzheimer's disease.

Authors:  Sherry A Ferguson; Vijayalakshmi Varma; Daniel Sloper; John J Panos; Sumit Sarkar
Journal:  Metab Brain Dis       Date:  2019-12-10       Impact factor: 3.584

5.  Alzheimer's disease: a step closer to understanding type 3 diabetes in African Americans.

Authors:  Sherry A Ferguson; John J Panos; Daniel Sloper; Vijayalakshmi Varma; Sumit Sarkar
Journal:  Metab Brain Dis       Date:  2021-05-22       Impact factor: 3.584

Review 6.  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 7.  Using mice to model Alzheimer's dementia: an overview of the clinical disease and the preclinical behavioral changes in 10 mouse models.

Authors:  Scott J Webster; Adam D Bachstetter; Peter T Nelson; Frederick A Schmitt; Linda J Van Eldik
Journal:  Front Genet       Date:  2014-04-23       Impact factor: 4.599

8.  Prediction of conversion from mild cognitive impairment to dementia with neuronally derived blood exosome protein profile.

Authors:  Charisse N Winston; Edward J Goetzl; Johnny C Akers; Bob S Carter; Edward M Rockenstein; Douglas Galasko; Eliezer Masliah; Robert A Rissman
Journal:  Alzheimers Dement (Amst)       Date:  2016-05-07

9.  A multivariate predictive modeling approach reveals a novel CSF peptide signature for both Alzheimer's Disease state classification and for predicting future disease progression.

Authors:  Daniel A Llano; Saurabh Bundela; Raksha A Mudar; Viswanath Devanarayan
Journal:  PLoS One       Date:  2017-08-03       Impact factor: 3.240

Review 10.  Translational Biomarkers of Neurotoxicity: A Health and Environmental Sciences Institute Perspective on the Way Forward.

Authors:  Ruth A Roberts; Michael Aschner; David Calligaro; Tomas R Guilarte; Joseph P Hanig; David W Herr; Thomas J Hudzik; Andreas Jeromin; Mary J Kallman; Serguei Liachenko; James J Lynch; Diane B Miller; Virginia C Moser; James P O'Callaghan; William Slikker; Merle G Paule
Journal:  Toxicol Sci       Date:  2015-12       Impact factor: 4.849

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