Our perception of the lipidome after the first decade of ... - Lipid Maps
Our perception of the lipidome after the first decade of ... - Lipid Maps
Our perception of the lipidome after the first decade of ... - Lipid Maps
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PERCEPTION OF THE LIPIDOME AFTER THE<br />
FIRST DECADE OF LIPIDOMICS<br />
A. The LIPID MAPS Initiative<br />
B. Example: Macrophage Eicosanoids<br />
D. Human Plasma <strong>Lipid</strong>ome and Biomarkers<br />
Edward A. Dennis<br />
Departments <strong>of</strong> Chemistry/Biochemistry and Pharmacology<br />
School <strong>of</strong> Medicine, University <strong>of</strong> California, San Diego<br />
LIPID MAPS “Glue Grant” NIH U54 GM 69338
4 base side chains<br />
20 amino acid side chains<br />
<strong>Lipid</strong>omics Joins<br />
<strong>the</strong> Omics Evolution<br />
(2009), Dennis,<br />
PNAS, 106, 2089.<br />
nucleic acids, amino acids,<br />
sugars and fats: >10 5 <br />
all <strong>the</strong> fats: >10 5
Increase in Omics Citations 1985-2009<br />
Number <strong>of</strong> Citations<br />
Wenk MR (2010) <strong>Lipid</strong>omics:<br />
New Tools and Applications.<br />
Cell, 143, 888-895.<br />
Year
<strong>Lipid</strong>omics Publications 2002-2013<br />
<strong>Lipid</strong>omics publications<br />
LIPID MAPS publications<br />
Publications<br />
Publications<br />
Year<br />
Year
_____________ _______________<br />
LIPID MAPS<br />
TM<br />
TM<br />
Saccharolipids / Polyketides
“CLASS”: Comprehensive<br />
<strong>Lipid</strong>omics Analysis using<br />
Separation Simplification<br />
a “divide-and-conquer” strategy<br />
category specific<br />
(deuterated, odd-chain carbon)<br />
category optimized<br />
(liq-liq, SPE)<br />
cells<br />
tissues<br />
sonicate<br />
homogenate<br />
cells or tissues<br />
probe<br />
internal standards<br />
extraction<br />
extract<br />
medium<br />
category specific<br />
(GC, NP-HPLC, RP-HPLC, chiral, specialty)<br />
GC<br />
LC<br />
Harkewicz & Dennis, “Applications <strong>of</strong> mass<br />
spectrometry to lipids and membranes”<br />
Ann Rev Biochem, 80: 301-325 (2011)<br />
mass spectrometer<br />
(variables)<br />
1. Mass spectrometer types<br />
2. Ionization mode<br />
3. Additives (for ionization)<br />
4. Mass spectrometer monitoring modes
Kdo 2 -<strong>Lipid</strong> A (KLA, LPS subspecies)<br />
A specific agonist <strong>of</strong> TLR-4 on RAW 264.7 macrophages<br />
Raetz et al., 2006, J. <strong>Lipid</strong> Res. 47: 1097<br />
Nuclei – DAPI<br />
Mitochondria – MitoTracker Red<br />
O-Specific<br />
chain<br />
Polysaccharide<br />
Core<br />
Kdo<br />
<strong>Lipid</strong> A<br />
Glycophospholipid
Dennis et al (2010)<br />
J. Biol. Chem, 51, 39976-85
Cellular Eicosanoid Metabolism<br />
Buczynski, Dumlao, Dennis (2009) JLR, 50, 1015-38
COX<br />
Cellular eicosanoid metabolism<br />
CYP(ω)<br />
5-LOX<br />
CYP(EET)<br />
Buczynski, Dumlao, Dennis, 2009, JLR, 50: 1015-38<br />
12-LOX<br />
15-LOX
COX<br />
Cellular eicosanoid metabolism
Directed Proteomics on Enzymes <strong>of</strong><br />
Eicosanoid Biosyn<strong>the</strong>sis<br />
2<br />
8)(#<br />
8)($<br />
1,6/-<br />
7!1)<br />
+,&0<br />
3',)<br />
+3$*,)&#)(41(<br />
!),)5$#1!<br />
+),-.)"*<br />
)3$(#<br />
)6$(<br />
)+$(<br />
)1*62<br />
*)(00<br />
)3$($<br />
)3$(0<br />
!"!#$$%"&'()*'<br />
+),-.)"<br />
)3$(5<br />
)8$(<br />
-'."#<br />
-'."$<br />
-'."5<br />
)1*($<br />
)1*(#<br />
))-(+<br />
))-(-<br />
))-(*<br />
,;32<br />
1-$(<br />
+)3)#<br />
+)3)$<br />
'!1($<br />
1,-2<br />
**1#<br />
)1*+2<br />
)1*+$<br />
!1'02<br />
**1% 9*215<br />
'!1(#<br />
-$(21#<br />
!10(#<br />
'&(#<br />
'-.45<br />
!10($<br />
!/,-0<br />
)1*32<br />
)*32$<br />
13&)<br />
!."%<br />
)*,#<br />
)*,$<br />
-!%-)<br />
/0#1+$%"&'()*'<br />
+),-.)"<br />
-CDEFGHIJGE<br />
-EGH<br />
!"#$&<br />
!."#$<br />
!."35<br />
!"#$3<br />
-,(<br />
670#1+$%"&'()*'<br />
+),-.)"<br />
!"#$!<br />
!"#%&<br />
')$5:<br />
)-$*%<br />
)-$*-<br />
)-$*"<br />
'&(#<br />
)*+,<br />
')#&#<br />
')$%0<br />
=>638:<br />
')$5<br />
')$@%<br />
')0--<br />
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')$54<br />
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6/0#1+$%"&'()*'<br />
+),-.)"<br />
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')$%%<br />
&
Eicosanoid Genes to Proteins to Metabolites<br />
Proteins<br />
Quehenberger & Dennis, New Eng. J. Medicine, 365, 1812-23 (2011)
The Beneficial <strong>Lipid</strong>s in Fish Oil<br />
• Fish oil is composed primarily <strong>of</strong> two ω-‐3 PUFAs: <br />
ω-‐3 <br />
ω <br />
Eicosapentaenoic Acid (EPA) <br />
(C20:5, ω-‐3) <br />
ω-‐3 <br />
Docosahexaenoic Acid (DHA) <br />
(C22:6, ω-‐3) <br />
• Humans syn<strong>the</strong>size from essen=al fa>y acid α-‐linolenic acid (C18:3, ω-‐3) <br />
ω <br />
• EPA is found at barely detectable levels in humans <br />
• DHA is more abundant than EPA; found primarily in <strong>the</strong> brain and re=na
Arachidonic Acid Serves as a<br />
Precursor for Many Eicosanoids<br />
<br />
<br />
EPA/DHA<br />
<br />
<br />
<br />
Are eicosanoids less pro-inflammatory when derived from EPA/DHA
Effects <strong>of</strong> PUFA Supplementation on ATP<br />
Stimulated COX-1 and 5-LOX Signaling<br />
Norris & Dennis, PNAS (2012) 109, 8517
Omega-3 Implications for Nutrition<br />
• The global effects <strong>of</strong> EPA and DHA on normal lipid<br />
metabolism can be quantitatively studied.<br />
• EPA and DHA affect <strong>the</strong> overall eicosadome decreasing<br />
production <strong>of</strong> some, but not all, AA-derived eicosanoids.<br />
• There is a concomitant increase in specific EPA- and<br />
DHA-derived metabolites.<br />
• Deciphering <strong>the</strong> role <strong>of</strong> fish oil-derived ω-3 EPA and DHA<br />
in inflammatory eicosanoid signaling provides insight as<br />
to <strong>the</strong>ir role as <strong>the</strong>rapeutic/nutritional agents.<br />
Norris & Dennis, PNAS (2012) 109, 8517
NIST collected (pooled) fasting plasma from 100 individuals<br />
50% female and 50% male; age 40-50<br />
15% <strong>of</strong> <strong>the</strong> total taken from<br />
individuals <strong>of</strong> Hispanic origin!
Human Plasma Metabolites (mg/dL)<br />
Nucleic Acids<br />
<strong>Lipid</strong>s<br />
Amino Acids<br />
Sugars
Human Plasma <strong>Lipid</strong> Categories (µM)<br />
Sterol <strong>Lipid</strong>s<br />
Sphingolipids<br />
Fatty Acyls<br />
Glycerolipids<br />
Glycerophospholipids<br />
Prenols
Human Plasma <strong>Lipid</strong> Diversity<br />
J <strong>Lipid</strong> Res, 51, 3299-3305 (2010)
Plasma <strong>Lipid</strong>s in <strong>the</strong> Metabolic Syndrome<br />
Quehenberger & Dennis, New Eng. J. Medicine, 365, 1812-23 (2011)
Charles Brown<br />
Univ. <strong>of</strong> Missouri<br />
George Kokotos<br />
Univ. <strong>of</strong> A<strong>the</strong>ns<br />
Kang Zhang<br />
Varnavas Mouchlis Matt Buczynski John Burke Yasu Kihara<br />
Tony Yaksh<br />
Virgil Woods<br />
Eduard Sabidó<br />
Ruedi Aebersold<br />
Alex Andreyev Howard Hsu Oswald Quehenberger Paul Norris<br />
Chris Glass<br />
Eoin Fahy<br />
S. Subramaniam<br />
Andy McCammon<br />
Darren Dumlao Ann Gregus Jian Cao Aaron Armando Ishita Shah
The LIPID MAPS Consortium<br />
L-R: C.R.H. Raetz, J.L. Witztum, N. Winograd, A.H. Merrill, R.C. Murphy, M.S. VanNieuwenhze,<br />
E.A. Dennis, D.W. Russell, W.A. Shaw, C.K. Glass, J. Chin (NIH), S. Subramaniam, H.A. Brown