Alzheimer’s disease detection combining novel radiogenomics of ApoE, structural and function MRI

Poster No:

2334 

Submission Type:

Abstract Submission 

Authors:

NUR HAFIZAH MOHAD AZMI1, Subapriya Suppiah2, Nur Shahidatul Nabila Ibrahim3, Buhari Ibrahim4, Vengkatha Priya Seriramulu4, Mazlyfarina Mohamad5, THILAKAVATHY KARUPPIAH6, NUR FARHAYU OMAR6, NORMALA IBRAHIM6, Rizah Mazzuin Razali7, Nor Harzana Harrun8, Hakimah Mohamad Sallehuddin4, Nisha Syed Nasser9, UMAR AHMAD10

Institutions:

1UNIVERSITI PUTRA MALAYSIA, KAJANG , SELANGOR, 2UNIVERSITI PUTRA MALAYSIA, SERDANG, SELANGOR, 3KPJ Healthcare University, Nilai, Negeri Sembilan, 4Universiti Putra Malaysia, Serdang, Selangor, 5Universiti Kebangsaan Malaysia, Kuala Lumpur, Wilayah persekutuan, 6UNIVERSITI PUTRA MALAYSIA, Kuala Lumpur, SELANGOR, 7Hospital Kuala Lumpur, Kuala Lumpur, Kuala Lumpur, 8Klinik Kesihatan Pandamara, Klang, Selangor, 9Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore, Singapore, 10Molecular Genetics Informatics, Department of Anatomy, Faculty of Basic Medical Science, Bauchi St, Gadau Bauchi, PMB 65

First Author:

NUR HAFIZAH MOHAD AZMI  
UNIVERSITI PUTRA MALAYSIA
KAJANG , SELANGOR

Co-Author(s):

Subapriya Suppiah  
UNIVERSITI PUTRA MALAYSIA
SERDANG, SELANGOR
Nur Shahidatul Nabila Ibrahim  
KPJ Healthcare University
Nilai, Negeri Sembilan
Buhari Ibrahim  
Universiti Putra Malaysia
Serdang, Selangor
Vengkatha Priya Seriramulu  
Universiti Putra Malaysia
Serdang, Selangor
Mazlyfarina Mohamad  
Universiti Kebangsaan Malaysia
Kuala Lumpur, Wilayah persekutuan
THILAKAVATHY KARUPPIAH  
UNIVERSITI PUTRA MALAYSIA
Kuala Lumpur, SELANGOR
NUR FARHAYU OMAR  
UNIVERSITI PUTRA MALAYSIA
Kuala Lumpur, SELANGOR
NORMALA IBRAHIM  
UNIVERSITI PUTRA MALAYSIA
Kuala Lumpur, SELANGOR
Rizah Mazzuin Razali  
Hospital Kuala Lumpur
Kuala Lumpur, Kuala Lumpur
Nor Harzana Harrun  
Klinik Kesihatan Pandamara
Klang, Selangor
Hakimah Mohamad Sallehuddin  
Universiti Putra Malaysia
Serdang, Selangor
Nisha Syed Nasser  
Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore
Singapore, Singapore
UMAR AHMAD  
Molecular Genetics Informatics, Department of Anatomy, Faculty of Basic Medical Science, Bauchi St
Gadau Bauchi, PMB 65

Introduction:

The most common type of dementia in neurodegenerative diseases is Alzheimer's disease (AD), is a progressive neurological illness that causes memory loss. Neurophysiological tests including the Montreal cognitive assessment (MoCA), mini-mental state examination (MMSE), and clinical dementia rating (CDR) Scores are used to identify AD. Neuroimaging studies T1-weighted MRI scans assessed brain structural abnormalities. AD patients had grey matter volume (GMV) loss in brain structures when structural MRI data were analyzed using voxel-based morphometry (VBM). Neuroimaging studies resting state functional MRI (rs-fMRI) -blood oxygen level dependent (BOLD) sequence for brain imaging was process using the seed-based analysis (SBA) method to analyse functional connectivity (FC) in Default mode network (DMN), Sensorimotor network (SEN), Executive control network (ECN), Language network (LN), Visuospatial network (VN) and Salience network (SAN). Late onset AD can be studied utilising the apolipoprotein E gene (ApoE). ApoE has four alleles: ApoE 1, 2, 3, and 4, with LOAD patients having either a homozygous or heterozygous genotype of these alleles. The genotypes, particularly ApoE ε4, are associated with a more significant risk for AD pathogenesis. The combination of genotyping and MRI neuroimaging is a promising avenue for research that starts with protocol optimisation. Objective: to differentiate changes in structural brain volumetric and rs-fMRI functional connectivity strength with the diagnosis of AD and HC by combining APOE Ɛ4 genetic variations.

Methods:

Thirty participants with AD, n = 15, and healthy control (HC), n = 15, for MRI study and six participants (n=6) with AD, n = 3, and HC, n = 3 for APOE genotyping. In this study we categorised the participants using neuropsychological tests i.e., MoCA, MMSE and CDR. Structural and functional MRI brain imaging was performed to identify network areas affected by AD. Structural voxel-based morphometry (VBM) models, and CONN Toolbox, which analysed functional MRI using seed-based analysis (SBA) were performed.
Genotyping was done by extracting the DNA from the participants' blood samples. The isolated DNA underwent PCR-RFLP. Then, the restricted enzyme RE AFIII for rs429358 and the HAEII for rs7412 were performed.

Results:

There was decreased grey matter volume (GMV) and reduced functional connectivity among AD participants involving the frontal lobe and anterior cingulate gyrus in DMN, SEN, ECN, LN, VN and SAN. We detected three participants with homozygous ApoE ε4 negative genotype (non-carriers), which was consistent with HC genotype. We also detected heterozygous genotype ApoE ε4 positive carriers, which indicated LOAD.
Supporting Image: 1DMN.jpg
   ·Figure 2. FC Analysis for the LOAD and HC groups showing selective rendered images for the DMN.
Supporting Image: Table1.jpg
   ·Table 1: Comparison of sociodemographic and neuropsychological profile of AD with HC.
 

Conclusions:

There is altered GMV in VBM, decrease in brain activation and increase spatial activation size in rs-fMRI neuronal FC in some area of the brain with APOE ε4 carrier of AD Participants. Thus the imaging features of the AD participants are mapped well with their ApoE ε4 carrier status. Thus, we propose our radiogenomics techniques as a useful biomarker for the characterisation of AD patients.

Genetics:

Genetic Association Studies 2

Novel Imaging Acquisition Methods:

Anatomical MRI
BOLD fMRI 1

Keywords:

FUNCTIONAL MRI
STRUCTURAL MRI
Other - Genotyping

1|2Indicates the priority used for review

Provide references using author date format

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