Lecture 4- Multiple Sclerosis Flashcards

1
Q

multiple sclerosis

A

most common CNS demyelinating disease- accumulating disability

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2
Q

epidemiology of MS

A

~23 000 cases in australia (1:1000)

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3
Q

onset of MS

A

most commonly in early adulthood (25-40yrs)

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4
Q

subtypes of MS

A
relapsing-remitting (60%)
secondary progressive (30%)- followup to relapsing remitting
primary progressive (10%)- w/o relapsing remitting
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5
Q

describe MS progression

A

CNS inflammation–>demyelination–> remyelination–> progressive neurodegeneration

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6
Q

inflammatory phase

A

immune cells led by T-cell mediated autoimmunity cross BBB, have reaction against myelin (target ODs)

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7
Q

demyelination and remyelination of axons

A

after inflammatory phase- OD progenitor cell make new myelin

process continues until pool of progenitor cells depleted

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8
Q

progressive neurodegeneration

A

failure for new myelin synthesis

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9
Q

periventricular plaques

A

95% of MS patients

white spots on MRI- water filled holes in brain due to demyelination and cell death in white matter tract

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10
Q

more common in which gender?

A

females 2-3 times fold

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11
Q

more common in which ethnicity?

A

north european ancestry

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12
Q

environmental risk factors

A

EBV, sunlight/vitD

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13
Q

treatments

A

are disease modifying; modulate course of disease and slow it down
e.g. Ocrelizumab- humanized anti-CD20 mAb

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14
Q

coding and non coding DNA in genome

A

1% protein coding; rest non-coding DNA

non coding- important in gene regulation

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15
Q

SNPs

A

most common known genetic variation
can be used as genetic markers in mapping
usually bi-allelic- both alleles of a gene

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16
Q

GWAS

A

compare SNP allele frequencies between groups of individuals e.g. cases and controls across genome
statistically significant difference in allele frequencies implies SNP in close genomic proximity to causal genetic locus
- diseases from families not applicable
- applicable to genetically complex common diseases

17
Q

why is identifying genes from GWAS hits hard?

A
  • top GWAS SNPs do not reside in genes, only 5% in protein coding regions
  • tend to be found in regulatory regions which influence gene regulatory sites
18
Q

SNPs effect on predisposition of gene

A

small effects to predisposition on its own

- lots together increase genetic burden and predisposition

19
Q

ANZgene

A

GWAS identified two MS susceptibility genes

20
Q

the two MS susceptibility genes identified by ANZgene GWAS

A

CD40 and CYP27B1

21
Q

HLA (DR2) association with MS

A

interaction with T cell receptor

22
Q

why did we use GWAS?

A

family based genetic studies not successful in identifying highly penetrant genetic mutations

23
Q

GWAS results

A

false positive associations really high, therefore replication very important
validation cohort important

24
Q

CD40

A

associated with susceptibility to MS
chr 20q13
involved in Ag presentation
member of TNF receptor family

25
Q

function of CD40

A

Ag presentation

  • important regulatory of cellular and humoral immunity
  • co stimulatory molecule expressed on Ag presenting cells
  • CD40-CD40L binding expressed on surface of activated CD4 helper T cells, activates APCs
26
Q

CYP27B1 gene

A

associated with MS
chr 12q13-14
involved in vitD synthesis

27
Q

function of CYP27B1 gene

A

involved in vitD synthesis
- provides instructions for making vitD enzyme (hydroxylase) which converts vitD to active form, regulates calcium metabolism and and immune system via VDR

28
Q

MS risk

A

mainly driven by genes with immune function; dysregulation

29
Q

what triggers onset of MS?

A

unclear- combination of genetic and environmental

30
Q

major genetic risk locus

A

HLA complex

31
Q

MS loci identified so far?

A

explain 25% of variance in risk

1/3rd of loci associated with other autoimmune diseases

32
Q

genetic associations for MS phenotype?

A

no genetic basis for clinical heterogeneity i.e. subtypes

33
Q

NGS

A

detection and analysis of known (SNPs) and unknown pathogenic mutations

34
Q

targeted DNA sequencing

A

specific genomic regions

35
Q

whole exome sequencing

A

only protein coding regions

36
Q

whole genome sequencing

A

all protein coding and non coding regions

e.g. look for particular mutations that has allowed neurons to survive as long as it has

37
Q

targeted RNA sequencing

A

specific gene transcripts

38
Q

whole genome RNA sequencing

A

entire transcriptome