finnur freyr eiríksson - waters corporation · modde 8 - 06/11/2011 13:13:48. 4-d countorplot...
TRANSCRIPT
Effects of protolichesterinic acid isolated from
Cetraria islandica on lipid composition in cultured
cancer cells evaluated using HPLC-MS/MS
Finnur Freyr Eiríksson
Båstad, 9. nov 2011
Outline
• Introduction
• Lichens
• HPLC-MS/MS Validation and results
• D-optimal screening on UPLC-MS/MS
• Palmitic acid
• Conclusions
Metabolic changes in cancer
• Energy metabolism
• Lipid metabolism
• Warburg effect: glycolysis in favour of oxydative
phosphorylation
• Autophagy
Therapeutic opportunities
• Cancer metabolism is a target for current drug development
• Fatty acid synthase (FAS) is highly expressed in most human
carcinomas
– Level of expression varies and determines sensitivity to FAS inhibitors
• Products of cycloxygenase (COX) and lipoxygenases (LOX)
pathways linked to carcinogenesis
– Inhibitors suggested as chemopreventive
• Metformin
– Reduced cancer risk and cancer-related mortality
Lichen compounds
• Several lichen species have been used in traditional medicine.
– Treatment for tuberculosis and tumours
• Symbiosis between fungi and algae
• Metabolites derived from lichens shown to have anti-
proliferative and cytotoxic effects
• Usnic acid
– Proton shuttle (energy metabolism and autophagy)
• Protolichesterinic acid
– 5- and 12-Lipoxygenase inhibitor
– Possible FAS inhibitor
Usnic acid
Protolichesterinic acid
Cetraria islandica
Aims
• Development of a sample preparation technique and LC-
MS/MS method for cultured cells
– Palmitic acid
– LTB4
– 12-HETE
– 5-HETE
• Effects of protolichesterinic acid on lipid metabolism
– Lipoxygenases and FAS
– Extraction of protolichesterinic acid from Cetraria islandia• Purification with preparative high-pressure liquid chromatography
Methods
• Protein precipitation
– Poor sensitivity
• Liquid-Liquid
extraction
– Low recovery
• Solid phase extraction
– Good sensitivity0
5000
10000
15000
20000
25000
0 10 20 30 40 50 60 70 80 90 100
Pe
ak A
rea
% Organic (Methanol)
Optimization of SPE
LTB4
12-HETE
5-HETE
HPLC-MS/MS
Tandem Quadrupole Quattro Ultima
HPLC 1525 Micro HPLC pump at 0.25 ml/min
Analytical ColumnColumn Temperature
Waters Xbridge C18, 3.5µ, 2.1 x 50mm40°C
Mobile Phase A: 0.1% formic acid : Acetonitrile (95:5 % v/v)
B: Acetonitrile (100 % v/v)
Injection volume 20 µL
Source temperatureDesolvation temperature
120°C450°C
Polarity ES-
Compound name: 5-HETE
Coefficient of Determination: R^2 = 0.994470
Calibration curve: 9.07943e-011 * x̂ 2 + 1.08205e-005 * x + -0.000171062
Response type: Internal Std ( Ref 6 ), Area * ( IS Conc. / IS Area )
Curve type: 2nd Order, Origin: Exclude, Weighting: 1/x̂ 2, Axis trans: None
pg/mL-0 5000 10000 15000 20000 25000 30000 35000 40000
Re
sp
on
se
-0.000
0.200
0.400
0.600
pg/mL
Re
sid
ua
l
-10.0
0.0
10.0
20.0
Calibration CurvesCompound name: LTB4
Coefficient of Determination: R^2 = 0.998375
Calibration curve: 7.3493e-011 * x̂ 2 + 3.45628e-005 * x + 0.000296622
Response type: Internal Std ( Ref 6 ), Area * ( IS Conc. / IS Area )
Curve type: 2nd Order, Origin: Exclude, Weighting: 1/x̂ 2, Axis trans: None
pg/mL-0 5000 10000 15000 20000 25000 30000 35000 40000
Re
sp
on
se
-0.00
0.25
0.50
0.75
1.00
1.25
1.50
pg/mL
Re
sid
ua
l
-10.0
-5.0
0.0
5.0
10.0
15.0
Compund: LTB4 R^2 = 0.998375
PBS buffer; 120 – 30.000pg/mL
Compund: 5-HETE R^2 = 0.994470
PBS buffer; 120 – 30.000pg/mL
Detection of LOX products
LTB4
5-HETE
12-HETE
LOQ and Blank matrix
Validation ResultsValidation
Parameters
Results
LTB4 12-HETE 5-HETE
Range 120 - 30.000 pg/mL
LOQ %
Accuracy 9.3 -3.0 2.2
Precision 5.4 12.7 9.0
Intra-Assay %
Accuracy -1.2 - 3.6 -7.0 - 4.7 -2.4 - 6.9
Precision 1.9 - 5.0 3.8 - 11.7 3.7 - 10.5
Recovery 64.9% 38.5% 33.5%
Stability Stable for;
Auto sampler At least 12 hr.
Quantification of LOX products in
Capan 2 cancer cells
Control EtOH Control 2.5 µg/mL PA 5.0 µg/mL PA
5-HETE 274,7 261,0 226,3 250,5
0,0
50,0
100,0
150,0
200,0
250,0
300,0
350,0
Cal
cula
ted
Co
nce
ntr
atio
n (
pg/
mL)
5-HETE
Control EtOH Control 2.5 µg/mL PA 5.0 µg/mL PA
LTB4 20,0 29,4 48,5 27,1
12-HETE 29,7 34,7 17,8 32,2
0,0
10,0
20,0
30,0
40,0
50,0
60,0
Cal
cula
ted
Co
nce
ntr
atio
n (
pg/
mL)
LTB4 and 12-HETE
Design of Experiments (DoE)
Objective
• Improve Sensitivity
• Lower Analysis Time
Responses
• Peak Area
• Peak height
• Retention time
D-optimal design
• Two qualitative factors
– Type of column
– Type of organic phase
• Five quantitative factors
• Modeling was performed with PLS (partial least squares)
Software: Modde 8.0, Umetrics AB
Experimental Screening
FactorsUPLC-MS/MS
Ranges
Gradient slope 1.0 - 4.0 min
Organic start 5 - 40%
Flow 0.45 - 0.65 mL/min
Type of solvent Acetonitrile or Methanol
Type of columnUPLC BEH C18, 1.7 µm, 2.1x100mm
UPLC CSH C18, 1.7 µm, 2.1x100mm
Capillary voltage 1 - 3.5 kV
Collision energy 10 - 20 eV
PLS components
0.0
0.2
0.4
0.6
0.8
1.0
Com
p1
Com
p2
Com
p3
Com
p4
Com
p5
R2 &
Q2
R2Q2
Loading scatter plot
-0.5
-0.4
-0.3
-0.2
-0.1
-0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
-0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
wc[
2]
wc[1]
Flow
Col
Org
Gra
Cap
Colum(CSH C18)
OrgP(MeOH)
Flow*Gra
Flow*Cap
Flow*OrgP(MeOH)
Col*Org
Col*Cap
Col*Colum(CSH C18)
Org*OrgP(MeOH)
Gra*Cap
Gra*OrgP(MeOH)
Colum(CSH C18)*OrgP(MeOH)
Re1Re2
Ar1~
He1~
He2~
Re8
Ar2~
Ar8~He8~
Regression coefficients scaled and centered
(peak area)
5-HETE 12-HETE
Summary Plot
2.32
2.34
2.36
2.38
2.40
2.42
2.44
2.46
2.48
1 2 3 4
Are
a 1
2-H
ET
E
Gradient slope
OrgP (ACN)OrgP (MeOH)
OrgP (ACN)
OrgP (ACN)
OrgP (MeOH)
OrgP (MeOH)
2.59
2.60
2.61
2.62
2.63
2.64
2.65
2.66
2.67
2.68
2.69
2.70
2.71
1 2 3 4
Are
a 5
-HE
TE
Gradient slope
OrgP (ACN)OrgP (MeOH)
OrgP (ACN)
OrgP (ACN)
OrgP (MeOH)
OrgP (MeOH)
MODDE 8 - 06/11/2011 13:13:48
4-D countorplot (Area)5-HETE 12-HETE
Detection of Palmitic acid
Conclusions
• HPLC-MS/MS method was developed and validated
for quantification of LOX-pathway products at Pico-
gram levels
• Quantification of 5-HETE was successful in capan 2
pancreatic cancer cells
• The DoE was useful for evaluating factors affecting
responses of the method
• Palmitic acid not quantifiable because of
contamination problems
Bioprospecting from Icelandic sea
Acknowledgments
• Funding
– University of Iceland Doctoral Fund
– University of Iceland Research Fund
– ArcticMass
• Margrét Þorsteinsdóttir
• Baldur Bragi Sigurðsson
• Helga Ögmundsdóttir
• Kári Skúlason
• Sesselja Sigurborg Ómarsdóttir www.ArcticMass.is