Literature DB >> 18536828

Biomarkers of mild cognitive impairment and Alzheimer's disease.

Bor Luen Tang1, Rajeev Kumar.   

Abstract

Alzheimer's disease (AD) is currently diagnosed only via clinical assessments and confirmed by postmortem brain pathology. Biochemical and neuroimaging markers could facilitate diagnosis, predict AD progression from a pre-AD state of mild cognitive impairment (MCI), and be used to monitor efficacies of disease-modifying therapies. It is now clear that cerebrospinal fluid (CSF) levels of A beta 40, A beta 42, total tau and phosphorylated tau have diagnostic values in AD. Measurements of the above CSF markers in combination are useful in predicting the risk of progression from MCI to AD. Recent advances further support a notion that plasma A beta levels, expressed as an A beta 42/A beta 40 ratio, could also be of value. New potential biomarkers are emerging, and CSF or plasma marker profiles may eventually become part of the clinician's toolkit for accurate AD diagnosis and management. These biomarkers, along with clinical assessment, neuropsychological testing and neuroimaging could achieve a much higher diagnostic accuracy for AD and related disorders in the future.

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Year:  2008        PMID: 18536828

Source DB:  PubMed          Journal:  Ann Acad Med Singap        ISSN: 0304-4602            Impact factor:   2.473


  8 in total

Review 1.  Mass spectrometry: A platform for biomarker discovery and validation for Alzheimer's and Parkinson's diseases.

Authors:  Eugene M Cilento; Lorrain Jin; Tessandra Stewart; Min Shi; Lifu Sheng; Jing Zhang
Journal:  J Neurochem       Date:  2019-01-31       Impact factor: 5.372

2.  Salivary tau species are potential biomarkers of Alzheimer's disease.

Authors:  Min Shi; Yu-Ting Sui; Elaine R Peskind; Ge Li; HyeJin Hwang; Ivana Devic; Carmen Ginghina; John Scott Edgar; Catherine Pan; David R Goodlett; Amy R Furay; Luis F Gonzalez-Cuyar; Jing Zhang
Journal:  J Alzheimers Dis       Date:  2011       Impact factor: 4.472

Review 3.  Dementia risk prediction in the population: are screening models accurate?

Authors:  Blossom C M Stephan; Tobias Kurth; Fiona E Matthews; Carol Brayne; Carole Dufouil
Journal:  Nat Rev Neurol       Date:  2010-05-25       Impact factor: 42.937

Review 4.  Sepsis biomarkers: a review.

Authors:  Charalampos Pierrakos; Jean-Louis Vincent
Journal:  Crit Care       Date:  2010-02-09       Impact factor: 9.097

5.  Biomarkers in Alzheimer's disease: a review.

Authors:  Meena Chintamaneni; Manju Bhaskar
Journal:  ISRN Pharmacol       Date:  2012-06-28

6.  Retinal nerve fiber layer thickness and cognitive ability in older people: the Lothian Birth Cohort 1936 study.

Authors:  Augustinus Laude; Gerassimos Lascaratos; Ross D Henderson; John M Starr; Ian J Deary; Baljean Dhillon
Journal:  BMC Ophthalmol       Date:  2013-07-03       Impact factor: 2.209

7.  Predicting the course of Alzheimer's progression.

Authors:  Samuel Iddi; Dan Li; Paul S Aisen; Michael S Rafii; Wesley K Thompson; Michael C Donohue
Journal:  Brain Inform       Date:  2019-06-28

8.  Label-free microcavity biosensors: steps towards personalized medicine.

Authors:  Dragos Amarie; James A Glazier
Journal:  Sensors (Basel)       Date:  2012-12-13       Impact factor: 3.576

  8 in total

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