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1www.proteomics.com
Biomarker Assays for Alzheimer’s Disease
- An update for the GBSC Workgroup
Malcolm Ward , Emma Schofield, Claire Russell, Christopher Lößner,
Sasa Koncarevic, Stephan Jung, Hans Dieter Zucht and Ian Pike
13th July 2013, Boston, MA.
2www.proteomics.com
Biomarkers for AD
Ideally, we require the ability to measure biochemical markers
within peripheral biofluids to:
• Assist early diagnosis and stratify patients for PET imaging
• Discriminate between MCI convertors and non convertors
• Predict fast/slow rate of decline for individual patients
• Correlate with response to experimental medicines during clinical trials
3www.proteomics.com
Novel Assays for AD biomarkers
We have developed several new mass spectrometrybased multiplexed assays to measure key analytes associated with Alzheimer‘s disease.
Abeta isoforms
CSF16plex
Total CSF Tau
TMTcalibrator IV
(Hybrid)
NN
NH
O
O
O
O
O
Mass reporter Massnormalisationgroup
Cleavablelinker
Reactivegroup
NN
NH
O
O
O
O
O
Mass reporter Massnormalisationgroup
Cleavablelinker
Reactivegroup
Thompson et. al
Anal. Chem. 2003, 75, 1895-1904
TMT is covered by granted and pending patents in Eu rope, USA and JapanTMT is licensed to and distributed by Pierce Biotec hnology a Thermo Fisher Scientific Company
4www.proteomics.com
CSF Sample Cohort
• CSF samples have kindly been provided by Dr. Henrik Zetterburg, Mölndal (Sweden)
• 31 non AD but memory impaired and 31 AD CSF samples
• Following metadata has been provided– Diagnosis, gender, age, and concentration of tau, beta-amyloid
and phospho-tau
• Additional Metadata such as vial type and protein concentration after Bradford assay has also been considered
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ABeta Isoforms Assay
CSF samples were processed according to the Abeta-I P-MALDI process (adapted from Portelius et al with slight modifications)
200 µl of CSF spiked with 10 ng/ml heavy 1-40 and used for IP MALDI preparation in triplicate
Referencing of endogenous peptides to spike enables comparison of spectra in each batch of Immunoppts.
Aβ-IP-MALDI workflow. Enrichment from CSF andsimultaneous MS-detection of different A β-peptidesand heavy internal standard A β 1-40.
6www.proteomics.com 6www.proteomics.com
0.0
0.5
1.0
1.5
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2.5
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1-42 1-40 1-39 1-38 1-37 1-34 1-33 1-19 1-17
ratio of ratios [AD/non AD]
ratio of ratios [AD/ctrl]Up in AD
Mean AD/non AD ratios of 4 IP -batches
A mean ratio of [AD/non AD] and each endogenous pep tide was calculated for each IP batch and the mean of these 4 ratios is displayed above for e ach of the peptides (error bars display the variation of the relative ratio between the 4 IP-ba tches.
• A clear upregulation of a factor up to ~2 is seen f or peptides 1-40, 1-39, 1-38 and 1-37 in ADs.
• An upregulation trend is less pronounced but visibl e in 1-34, 1-33 and 1-19 in ADs.
• These IP-MALDI data do not demonstrate differences in 1-17 and 1-42 between AD cases and non AD subjects (1-17 has high variations, 1-42 is a very weak signal, close to background)
7www.proteomics.com
PCA Scores/Loadings Plots
Measurement of A β-peptides inthe IP-MALDI assay enables aclear separation between ADcases and non AD samples.
The PCA Scores Plot shownrelates to single IP batch (8 vs 8)to illustrate typical outcome.
Overall the separation is mainlydriven by higher levels of A β1-37,Aβ1-38, Aβ1-39 and Aβ1-40isoforms in AD cases as indicatedin the Loadings Plot.
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p[2]
p[1]
Simca_L2Ratios_bySasa_collapsed_korrigiert.M1 (PCA-X)p[Comp. 1]/p[Comp. 2]
R2X[1] = 0,862467 R2X[2] = 0,0885625
1_17
1_19
1_331_34
1_371_381_39
1_40
1_42
8www.proteomics.com
A subset of A β-peptides deliver excellent p-values for thediagnosis of 31 vs 31 AD cases and non AD subjects.
Statistics: Linear Mixed Effect Modelling
IP Batch 1
Diagnosis AD/non AD
9www.proteomics.com
TMT-SRM CSF 16plex Assay
Content: 16 proteins represented by 31 peptides with 236 transitions
– Amyloid-like protein 1 – Amyloid beta A4 protein– Beta-2-microglobulin – Complement C3 alpha and beta– Chromogranin A – Complement factor H – Cystatin C – Serum amyloid P-component– Clusterin alpha chain– Clusterin beta chain– Apolipoprotein E – Alpha-2-macroglobulin – Secretogranin-2 – Gelsolin– Fibrinogen gamma chain
Isotopic TMTduplex workflow• TMTzero: Individual samples (50 µL)• TMT6-127: Universal reference • (Seralab #CSF-123-S-26975) �• Volumetric 1:1 mixture• QC samples: Universal reference
– TMTzero and TMT6-127 1:1
• 1h nLC gradient• TSQ Vantage• Triplicate analysis• 2 µL CSF o/c• PinPoint 1.1 including manual editing
10www.proteomics.com
0
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CV
[%]
Assay Precision - All CV’s below 15% except three pe ptides
Decreased performance of peptides GLEVTITAR, ALQEYR and AVEVLPK due to reduced quality of SRM transitio ns
TMT-SRM CSF 16plex Assay
11www.proteomics.com
Statistical Analysis
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0,0 0,1 0,2
p[2]
p[1]
Proteine_SimcaStyleb.M1 (PCA-X)p[Comp. 1]/p[Comp. 2]
R2X[1] = 0,741894 R2X[2] = 0,140655
Amyloid-like protein 1
Amyloid beta A4 protein
B2M Beta-2-microglobulin
Complement C3 alphaComplement C3 beta
Chromogranin A
CFH
Cystatin C
Serum amyloid P-component
Clusterin alpha
Clusterin beta
APOE Apolipoprotein E
A2M Alpha-2-macroglobulin
Secretogranin-2
Gelsolin
Fibrinogen gamma chain
� For this cohort, the 16plex CSF assay gives remarka ble separation of AD cases and non AD subjects with most analytes havi ng a strong influence on the differentiation of the clinical gr oups
PCA Scores Plot
PCA Loadings Plot
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t[2]
t[1]
Proteine_SimcaStyleb.M1 (PCA-X)t[Comp. 1]/t[Comp. 2]
Colored according to Obs ID (Sample_short)
R2X[1] = 0,741894 R2X[2] = 0,140655 Ellipse: Hotelling T2 (0,95)
ADControl
AD 1
AD 2
AD 3 AD 4
AD 5
AD 6
AD 7
AD 8
AD 9
AD 10AD 11
AD 12
AD 13
AD 14
AD 15
AD 16
AD 17
AD 18
AD 19
AD 20
AD 21
AD 22 AD 23AD 24
AD 25
AD 26
AD 27
AD 28
AD 29AD 30
AD 31
Control 1
Control 2
Control 3
Control 4
Control 5
Control 6Control 7
Control 8
Control 9
Control 10
Control 11
Control 12Control 13Control 14
Control 15
Control 16
Control 17
Control 18
Control 19
Control 20Control 21
Control 22
Control 23Control 24
Control 25Control 26
Control 27
Control 28
Control 29
Control 30
Control 31
12www.proteomics.com
TMTcalibrator CSF-Tau
13www.proteomics.com
TMTcalibrator for CSF Tau
14www.proteomics.com
TMTcalibrator affords more scope
0.00E+00
2.00E+02
4.00E+02
6.00E+02
8.00E+02
1.00E+03
1.20E+03
1.40E+03
1.0 ml
540
(126)
2.0 ml
540
(127)
1.0 ml
550
(127e)
2.0 ml
550
(128)
0.20ng
spike
mix
(129)
0.40ng
spike
mix
(129e)
0.60ng
spike
mix
(130)
0.80ng
spike
mix
(131)
Re
po
rte
r in
ten
sity
TPPSSGEPPK
0.00E+00
1.00E+02
2.00E+02
3.00E+02
4.00E+02
5.00E+02
6.00E+02
7.00E+02
8.00E+02
9.00E+02
1.0 ml
540
(126)
2.0 ml
540
(127)
1.0 ml
550
(127e)
2.0 ml
550
(128)
0.20ng
spike
mix
(129)
0.40ng
spike
mix
(129e)
0.60ng
spike
mix
(130)
0.80ng
spike
mix
(131)
Re
po
rte
r in
ten
sity
SGYSSPGSPGTPGSR
0.00E+00
1.00E+03
2.00E+03
3.00E+03
4.00E+03
5.00E+03
6.00E+03
7.00E+03
8.00E+03
9.00E+03
1.00E+04
1.0 ml
540
(126)
2.0 ml
540
(127)
1.0 ml
550
(127e)
2.0 ml
550
(128)
0.20ng
spike
mix
(129)
0.40ng
spike
mix
(129e)
0.60ng
spike
mix
(130)
0.80ng
spike
mix
(131)
Re
po
rte
r in
ten
sity
SPVVSGDTSPR
Several Tau peptides as surrogates for Total Tau measurement each with afour-point internal calibration curve
15www.proteomics.com
Illustration of TMTcalibrator results
0.00E+00
2.00E+02
4.00E+02
6.00E+02
8.00E+02
1.00E+03
1.20E+03
1.40E+03
1.0 ml
540
(126)
2.0 ml
540
(127)
1.0 ml
550
(127e)
2.0 ml
550
(128)
0.20ng
spike
mix
(129)
0.40ng
spike
mix
(129e)
0.60ng
spike
mix
(130)
0.80ng
spike
mix
(131)
Re
po
rte
r in
ten
sity
TPPSSGEPPK
16www.proteomics.com
Our hunt for Tau phospho-peptides in CSF continues…
TMTcalibrator for CSF pTau
• Further exploration of Tau/pTau enrichment prior to MS– Immuno-ppt and TiO2
• Create optimal TMTcalibrator standard– Post mortem AD brain or RecTau+Kinase(s) + ATP
• Use of additional TMT related fragment ions for quantitation purposes (TMTC ions Wühr & Gygi 2012)
• We are still looking for additional partners to help– Access to CSF cohorts– Advice on tau fragments for inclusion– Funding
17www.proteomics.com
TMTcalibrator IV
A hybrid targeted and non targeted screening approa ch
18www.proteomics.com
TMTcalibrator IV
Input A: Samples (n=90)
Input B: Include List Content
Output: New Biomarker Panels
2089 distinct peptides correspondingto 199 identified protein groups
Reference for GMDH: Alexey G. Ivakhnenko 1968
Group modeling of data handling (GMDH)
19www.proteomics.com
To Conclude
• Use of MS combined with TMT facilitates rapid and inexpensive set up and assay validation
• Multiple analytes are measured with high quantitative precision and accuracy
• Several AD Biomarker Assays are “Ready to Use”
• Further details on our posters at AAIC tomorrow
# P1-141: Quantitative mass spectrometry assays for Amyloid beta, tau and phospho-tau in CSF
# P1-233: Further exploration of Plasma Biomarkers for Alzheimer’s disease using isotopic Tandem Mass Tags and a combined targeted /non-targe ted LC/MS/MS method