Literature DB >> 26975368

High Content, Multi-Parameter Analyses in Buccal Cells to Identify Alzheimer's Disease.

Maxime François, Michael F Fenech, Philip Thomas, Maryam Hor, Alan Rembach, Ralph N Martins, Stephanie R Rainey-Smith, Colin L Masters, David Ames, Christopher C Rowe, S Lance Macaulay, Andrew F Hill, Wayne R Leifert1.   

Abstract

Alzheimer's disease (AD) is a degenerative brain disorder and is the most common form of dementia. Minimally invasive approaches are required that combine biomarkers to identify individuals who are at risk of developing mild cognitive impairment (MCI) and AD, to appropriately target clinical trials for therapeutic discovery as well as lifestyle strategies aimed at prevention. Buccal mucosa cells from the Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing cohort (n=60) were investigated for cytological markers that could be used to identify both MCI and AD individuals. Visual scoring of the buccal cytome demonstrated a significantly lower frequency of basal and karyorrhectic cells in the MCI group compared with controls. A high content, automated assay was developed using laser scanning cytometry to simultaneously measure cell types, nuclear DNA content and aneuploidy, neutral lipid content, putative Tau and amyloid-β (Aβ) in buccal cells. DNA content, aneuploidy, neutral lipids and Tau were similar in all groups. However, there was significantly lower Tau protein in both basal and karyolytic buccal cell types compared with differentiated buccal cells. Aβ, as measured by frequency of cells containing Aβ signal, as well as area and integral of Aβ signal, was significantly higher in the AD group compared with the control group. Buccal cell Aβ was correlated with mini-mental state examination (MMSE) scores (r = -0.436, P=0.001) and several blood-based biomarkers. Combining newly identified biomarkers from buccal cells with those already established may offer a potential route for more specific biomarker panels which may substantially increase the likelihood of better predictive markers for earlier diagnosis of AD.

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Year:  2016        PMID: 26975368     DOI: 10.2174/1567205013666160315112151

Source DB:  PubMed          Journal:  Curr Alzheimer Res        ISSN: 1567-2050            Impact factor:   3.498


  8 in total

Review 1.  Vitamins Associated with Brain Aging, Mild Cognitive Impairment, and Alzheimer Disease: Biomarkers, Epidemiological and Experimental Evidence, Plausible Mechanisms, and Knowledge Gaps.

Authors:  Michael Fenech
Journal:  Adv Nutr       Date:  2017-11-15       Impact factor: 8.701

2.  Characterization of 5-methylcytosine and 5-hydroxymethylcytosine in human placenta cell types across gestation.

Authors:  Rebecca L Wilson; Maxime François; Tanja Jankovic-Karasoulos; Dale McAninch; Dylan McCullough; Wayne R Leifert; Claire T Roberts; Tina Bianco-Miotto
Journal:  Epigenetics       Date:  2019-04-30       Impact factor: 4.528

Review 3.  Buccal Mucosa Biomarkers in Alzheimer's Disease.

Authors:  Antigoni Avramouli; Panayiotis Vlamos
Journal:  Adv Exp Med Biol       Date:  2020       Impact factor: 2.622

4.  Oral Mucosa Derived α-Synuclein as a Potential Diagnostic Biomarker for Parkinson's Disease.

Authors:  Yuanchu Zheng; Zhenwei Yu; Jiajia Zhao; Huihui Cai; Zhan Wang; Xuemei Wang; Tao Feng
Journal:  Front Aging Neurosci       Date:  2022-03-28       Impact factor: 5.750

5.  Super-resolution structure of DNA significantly differs in buccal cells of controls and Alzheimer's patients.

Authors:  Angeles Garcia; David Huang; Amanda Righolt; Christiaan Righolt; Maria Carmela Kalaw; Shubha Mathur; Elizabeth McAvoy; James Anderson; Angela Luedke; Justine Itorralba; Sabine Mai
Journal:  J Cell Physiol       Date:  2017-03-28       Impact factor: 6.384

Review 6.  Alzheimer's Disease: A Journey from Amyloid Peptides and Oxidative Stress, to Biomarker Technologies and Disease Prevention Strategies-Gains from AIBL and DIAN Cohort Studies.

Authors:  Ralph N Martins; Victor Villemagne; Hamid R Sohrabi; Pratishtha Chatterjee; Tejal M Shah; Giuseppe Verdile; Paul Fraser; Kevin Taddei; Veer B Gupta; Stephanie R Rainey-Smith; Eugene Hone; Steve Pedrini; Wei Ling Lim; Ian Martins; Shaun Frost; Sunil Gupta; Sid O'Bryant; Alan Rembach; David Ames; Kathryn Ellis; Stephanie J Fuller; Belinda Brown; Samantha L Gardener; Binosha Fernando; Prashant Bharadwaj; Samantha Burnham; Simon M Laws; Anna M Barron; Kathryn Goozee; Eka J Wahjoepramono; Prita R Asih; James D Doecke; Olivier Salvado; Ashley I Bush; Christopher C Rowe; Samuel E Gandy; Colin L Masters
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

7.  Tau Protein in Oral Mucosa and Cognitive State: A Cross-sectional Study.

Authors:  Luis Fernando Arredondo; Saray Aranda-Romo; Ildefonso Rodríguez-Leyva; Erika Chi-Ahumada; Sami K Saikaly; Diana P Portales-Pérez; Roberto González-Amaro; Mariana Salgado-Bustamante; Lourdes Enriquez-Macias; William Eng; Robert A Norman; Maria E Jimenez-Capdeville
Journal:  Front Neurol       Date:  2017-10-13       Impact factor: 4.003

8.  Optimization of an oral mucosa in vitro model based on cell line TR146.

Authors:  Grace C Lin; Tamara Leitgeb; Alexandra Vladetic; Heinz-Peter Friedl; Nadine Rhodes; Angela Rossi; Eva Roblegg; Winfried Neuhaus
Journal:  Tissue Barriers       Date:  2020-04-21
  8 in total

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