Literature DB >> 31328605

The current status of blood epigenetic biomarkers for dementia.

Peter D Fransquet1,2, Joanne Ryan1,2.   

Abstract

Dementia is an overarching term which describes a group of symptoms that result in long-term decline in cognitive functioning that is significant enough to affect daily function. It is caused by a number of different diseases, the most common of which is Alzheimer's disease. Currently, there are no definitive biomarkers for preclinical or diagnostic use, or which differentiate between underlying disease types. The purpose of this review is to highlight several important areas of research on blood-based biomarkers of dementia, with a specific focus on epigenetic biomarkers. A systematic search of the literature identified 77 studies that compared blood DNA methylation between individuals with dementia and controls and 45 studies that measured microRNA. Very few studies were identified that focused on histone modifications. There were many promising findings from studies in the field of blood-based epigenetic biomarkers of dementia, however, a lack of consistency in study design, technologies, and platforms used for the biomarker measurement, as well as statistical analysis methods, have hampered progress. To date, there are very few findings that have been independently replicated across more than one study, indicating a preponderance of false-positive findings and the field has likely been plagued by positive publication bias. Here, we highlight and discuss several of the limitations of existing studies and provide recommendations for how these could be overcome in future research. A robust framework should be followed to enable development of the most valid and reproducible biomarkers with the strongest clinical utility. Defining a series of biomarkers that may be complimentary to each other could permit a stronger multifactorial biomarker to be developed that would allow for not only accurate dementia diagnosis but preclinical detection.

Entities:  

Keywords:  Biomarker; blood; dementia; diagnosis; epigenetics

Year:  2019        PMID: 31328605     DOI: 10.1080/10408363.2019.1639129

Source DB:  PubMed          Journal:  Crit Rev Clin Lab Sci        ISSN: 1040-8363            Impact factor:   6.250


  7 in total

1.  DNA methylation analysis of candidate genes associated with dementia in peripheral blood.

Authors:  Peter D Fransquet; Paul Lacaze; Richard Saffery; James Phung; Emily Parker; Raj C Shah; Anne Murray; Robyn L Woods; Joanne Ryan
Journal:  Epigenomics       Date:  2020-12-10       Impact factor: 4.778

2.  Voice biomarkers as indicators of cognitive changes in middle and later adulthood.

Authors:  Elizabeth Mahon; Margie E Lachman
Journal:  Neurobiol Aging       Date:  2022-07-01       Impact factor: 5.133

3.  Blood DNA methylation signatures to detect dementia prior to overt clinical symptoms.

Authors:  Peter Daniel Fransquet; Paul Lacaze; Richard Saffery; James Phung; Emily Parker; Raj Shah; Anne Murray; Robyn L Woods; Joanne Ryan
Journal:  Alzheimers Dement (Amst)       Date:  2020-07-09

4.  Accelerated Epigenetic Aging in Peripheral Blood does not Predict Dementia Risk.

Authors:  P D Fransquet; P Lacaze; R Saffery; R C Shah; R Vryer; A Murray; R L Woods; J Ryan
Journal:  Curr Alzheimer Res       Date:  2021       Impact factor: 3.498

Review 5.  Neuroprotective Effects of Choline and Other Methyl Donors.

Authors:  Rola A Bekdash
Journal:  Nutrients       Date:  2019-12-06       Impact factor: 5.717

6.  Epigenetic Studies in the Male APP/BIN1/COPS5 Triple-Transgenic Mouse Model of Alzheimer's Disease.

Authors:  Olaia Martínez-Iglesias; Vinogran Naidoo; Iván Carrera; Ramón Cacabelos
Journal:  Int J Mol Sci       Date:  2022-02-23       Impact factor: 5.923

7.  Comprehensive analysis of epigenetic clocks reveals associations between disproportionate biological ageing and hippocampal volume.

Authors:  Lidija Milicic; Michael Vacher; Tenielle Porter; Vincent Doré; Samantha C Burnham; Pierrick Bourgeat; Rosita Shishegar; James Doecke; Nicola J Armstrong; Rick Tankard; Paul Maruff; Colin L Masters; Christopher C Rowe; Victor L Villemagne; Simon M Laws
Journal:  Geroscience       Date:  2022-04-21       Impact factor: 7.581

  7 in total

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