Biomarkers of NAFLD progression an omics approach to an epidemic
|
|
- Cameron Chase
- 5 years ago
- Views:
Transcription
1 Biomarkers of NAFLD progression an omics approach to an epidemic D. Lee Gorden 1,2, David S. Myers 3, Pavlina T. Ivanova 3, Eoin Fahy 4, Mano R. Maurya 4, Shakti Gupta 4, Jun Min 4, Nathanael J. Spann 5, Jeffrey G. McDonald 6, Samuel L. Kelly 7, Jingjing Duan 7, M. Cameron Sullards 7, Thomas J. Leiker 8, Robert M. Barkley 8, Oswald Quehenberger 9,10, Aaron M. Armando 10, Stephen B. Milne 3, Thomas P. Mathews 3, Michelle D. Armstrong 3, Chijun Li 11, Willie V. Melvin 1, Ronald H. Clements 1, M. Kay Washington 12, Alisha M. Mendonsa 2, Joseph L. Witztum 9, Ziqiang Guan 11, Christopher K. Glass 5, Robert C. Murphy 8, Edward A. Dennis 10,13, Alfred H. Merrill Jr. 7, David W. Russell 6, Shankar Subramaniam 4,13*, H. Alex Brown 3,14* 1 Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA. 2 Department of Cancer Biology, Vanderbilt University Medical Center, Nashville, TN, USA. 3 Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN, USA. 4 Department of Bioengineering, School of Engineering, University of California, San Diego, La Jolla, CA, USA. 5 Department of Cellular and Molecular Medicine and Department of Medicine, University of California, San Diego, La Jolla, CA, USA. 6 Department of Molecular Genetics, University of Texas Southwestern Medical Center, Dallas, TX, USA. 7 Schools of Biology, Chemistry, and Biochemistry, and the Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, USA. 8 Department of Pharmacology, University of Colorado at Denver, Aurora, CO, USA. 9 Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA. 10 Department of Pharmacology, School of Medicine, University of California, San Diego, La Jolla, CA, USA. 11 Department of Biochemistry, Duke University Medical Center, Durham, NC, USA. 12 Departments of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA. 13 Department of Chemistry & Biochemistry, School of Medicine, University of California, San Diego, La Jolla, CA, USA. 14 Department of Biochemistry and the Vanderbilt Institute of Chemical Biology, Vanderbilt University Medical Center, Nashville, TN, USA. *To whom correspondence should be addressed: alex.brown@vanderbilt.edu; shankar@ucsd.edu Running Title: In search for NASH biomarkers
2 List of Supplementary Data Files Supplementary Data file 1. Fold-changes and ANOVA p-values for the lipids in liver and plasma samples. The columns S/N, H/N, C/N and H/S list the fold-change. The column "Pvalue(N,S,H,C)" lists the ANOVA p-value across the four classes. Supplementary Data file 2. Fold-changes for genes related to different lipid categories. Supplementary Data file 3. Cross-correlation between lipids and matrix metalloproteinase (MMP) and related (TIMP) genes. Supplementary Data file 4. Result of pair-wise SNP analysis among the four classes, N, S, H and C, using plink, for PNPLA3 SNPs. For example, the sheet plink_ns_snp_pnpla3 shows the results for comparison between the N and S samples. Supplementary Data file 5. (A) Result of procedure LDA2 on plasma lipids to classify NASH vs. steatosis samples. First, LDA was applied on 30 top ANOVA lipids, then on 20 selected lipids (see also Supplementary Fig. S7). LDA coefficients and mean values for the two classes, steatosis (S) and NASH (H), for the 20 lipids are listed. (B) Prediction of the class, steatosis (S) or NASH (H), during k-fold cross-validation. The columns H and S list the predicted probability for the respective class.
3 Supplementary Data File 1 liver S/N H/N C/N H/S p-value(n,s,h,c) plasma S/N H/N C/N H/S p-value(n,s,h,c) 6k PGF1a E-03 tetranor 12-HETE E-10 6,15 dk-,dh- PGF1a E-04 LTE Inf 2.01E-04 dhk PGD E-03 5-HETE E-05 LTE E-03 9-HOTrE E HETrE E-03 5-HETrE E HETE E HETE E HDoHE E HODE E-09 CL (72:8) E HETrE E-03 CL (74:8) E-03 8-HETE E-05 CL (74:7) E HETE E-03 Dolichol E-07 9-HODE E-06 Dolichol E HETE E-03 Dolichol E-07 19,20 DiHDPA E-02 Dolichol E-07 9,10 EpOME E-04 22R -hydroxycholesterol E-03 12,13 EpOME E hydroxycholesterol E-04 8,9-diHETrE E-05 7α-hydroxycholesterol E-03 11,12-diHETrE E-05 Desmosterol E-03 14,15-diHETrE E desmethyl-14-dehydrolanosterol E-09 12,13 dihome E-05 Lanosterol E-06 20cooh AA E-12 Cholestanol E-06 FA(14:0) E-06 3-oxo,7α-hydroxycholesterol E-07 FA(15:0) E-03 CE(16:1) E-03 FA(16:1) E-06 CE(16:0) E-04 FA(17:1) E-03 CE(18:3) E-06 FA(18:0) E-03 CE(18:2) E-09 FA(20:2) E-04 CE(18:1) E-03 FA(20:3 N9) E-04 CE(20:4) E-05 Dolichol E-03 CE(20:3) E-04 7α,27-dihydroxycholesterol E-03 CE(22:6) E-06 24S-hydroxycholesterol E-02 CE(22:5) E hydroxycholesterol E-03 TAG(44:3) E-02 24,25-epoxycholesterol E-04 TAG(44:2) E-03 7α-hydroxycholesterol E-03 TAG(44:1) E-04 5α-hydroxycholesterol E-03 TAG(44:0) E-04 5,6β-epoxycholesterol E-04 TAG(46:4) E-02 5,6α-epoxycholesterol E-03 TAG(46:3) E desmethyl-14-dehydrolanosterol E-05 TAG(46:2) E Desmethyllanosterol E-04 TAG(46:1) E-05 Lanosterol E-04 TAG(46:0) E-04 Sitosterol E-06 TAG(47:3) E-03 Stigmastanol E-03 TAG(47:2) E-03 Cholesterol-total E-08 TAG(47:1) E-04 3-oxo,7α-hydroxycholesterol E-05 TAG(47:0) E-03 CE(18:2) E-04 TAG(48:4) E-04 CE(20:4) E-07 TAG(48:3) E-06 CE(20:3) E-04 TAG(48:2) E-05 CE(22:6) E-03 TAG(48:1) E-05 TAG(50:2) E-03 TAG(48:0) E-05 TAG(52:5) E-03 TAG(49:5) E-03 TAG(52:4) E-04 TAG(49:3) E-04 TAG(52:3) E-04 TAG(49:2) E-05 TAG(52:2) E-03 TAG(49:1) E-06 TAG(52:1) E-03 TAG(49:0) E-05 TAG(54:5) E-03 TAG(50:5) E-04 TAG(54:4) E-03 TAG(50:4) E-07 TAG(54:3) E-02 TAG(50:3) E-08 TAG(56:6) E-02 TAG(50:2) E-03 1,2-DAG(34:3) E-03 TAG(50:1) E-04 1,2-DAG(34:2) E-03 TAG(50:0) E-04 1,2-DAG(36:3) E-03 TAG(51:5) E-04 1,2-DAG(36:2) E-04 TAG(51:4) E-06 C18:1 Cer E-03 TAG(51:3) E-07 C18 Cer E-10 TAG(51:2) E-05 C20 Cer E-08 TAG(51:1) E-06 C22 Cer E-08 TAG(51:0) E-05 C24:1 Cer E-06 TAG(52:5) E-07 C24 Cer E-07 TAG(52:4) E-05 C24:1 HexCer E-06 TAG(52:3) E-03 C24 HexCer E-03 TAG(52:1) E-04 C26:1 HexCer E-06 TAG(52:0) E-04 C26 HexCer E-03 TAG(53:5) E-06 C18:1 Sphingomyelin E-10 TAG(53:4) E-06 C18 Sphingomyelin E-08 TAG(53:3) E-06 C20 Sphingomyelin E-09 TAG(53:2) E-04 C22 Sphingomyelin E-06
4 TAG(53:1) E-05 C24 Sphingomyelin E-04 TAG(53:0) E-03 C18DH Cer E-07 TAG(54:6) E-06 C24:1DH Cer E-06 TAG(54:5) E-06 C24:1DH HexCer E-03 TAG(54:4) E-05 C18DH Sphingomyelin E-06 TAG(54:3) E-04 C22DH Sphingomyelin E-05 TAG(54:2) E-03 C24DH Sphingomyelin E-03 TAG(54:1) E-05 Sphingosine E-03 TAG(54:0) E-03 Sphingosine-P E-03 TAG(55:6) E-03 Sphinganine-P E-03 TAG(55:5) E-05 C16 1-deoxyCer E-04 TAG(55:4) E-05 C26:1 1-deoxyCer E-05 TAG(55:3) E-04 C18DH 1-deoxyCer E-04 TAG(55:2) E-03 C20DH 1-deoxyCer E-04 TAG(55:1) E-05 C22DH 1-deoxyCer E-04 TAG(55:0) E-03 C24DH 1-deoxyCer E-04 TAG(56:6) E-05 C24:1 GlcCer E-06 TAG(56:5) E-05 C24 GlcCer E-03 TAG(56:4) E-05 C26:1 GlcCer E-07 TAG(56:3) E-05 C26 GlcCer E-04 TAG(56:2) E-04 PC(32:0) E-06 TAG(56:1) E-04 PC(34:3) E-06 TAG(57:6) E-04 PC(34:2) E-03 TAG(57:5) E-04 PC(36:1e) E-03 TAG(57:4) E-04 PC(36:4) E-15 TAG(57:3) E-04 PC(38:6) E-07 TAG(57:2) E-03 PC(38:5) E-10 TAG(57:1) E-03 PC(38:4) E-12 TAG(57:0) E-03 PC(38:3) E-05 TAG(58:6) E-04 PC(40:6) E-05 TAG(58:5) E-05 PC(40:5) E-03 TAG(58:4) E-06 LPC(16:0) E-04 TAG(58:3) E-05 LPC(18:0) E-02 TAG(58:2) E-02 PE(36:4) E-04 TAG(60:12) E-05 PE(36:3) E-02 TAG(59:2) E-03 PE(38:5p) E-03 TAG(59:0) E-03 PE(38:4p) E-03 TAG(60:4) E-05 PE(38:6) E-04 TAG(60:3) E-03 PE(38:5) E-04 1,2-DAG(32:0) E-02 PE(38:4) E-06 1,2-DAG(34:4) E-03 PE(40:5p) E-03 1,2-DAG(34:2) E-02 PE(40:4p) E-03 1,2-DAG(34:1) E-03 PE(40:6) E-04 1,2-DAG(34:0) E-03 PE(40:5) E-05 1,2-DAG(35:4) E-03 PI(32:1) E-02 1,2-DAG(35:1) E-02 PI(36:3) E-03 1,2-DAG(35:0) E-03 PI(36:1) E-04 1,2-DAG(36:5) E-03 PI(38:4) E-06 1,2-DAG(36:4) E-02 PI(38:3) E-04 1,2-DAG(36:3) E-03 PI(40:5) E-02 1,2-DAG(36:2) E-03 glutamate E-03 1,2-DAG(36:1) E-03 citrate E-07 1,2-DAG(36:0) E-03 F16BP E-03 1,2-DAG(37:2) E-02 PGA E-04 1,2-DAG(37:0) E-03 ATP E-05 1,2-DAG(38:6) E-03 ADP E-03 1,2-DAG(38:0) E-02 AMP E-03 1,2-DAG(40:0) E-03 C18 Cer E-03 C20 Cer E-03 C22 Cer E-04 C24 Cer E-04 C22 HexCer E-03 C24 HexCer E-03 C22 Sphingomyelin E-02 C24:1DH Cer E-03 C16DH Sphingomyelin E-07 Sphinganine E-03 Sphingosine E-03 Sphingosine-P E-03 C18 1-deoxyCer E-04 C22 1-deoxyCer E-03 C24 1-deoxyCer E-03 C16DH 1-deoxyCer E-02 C18DH 1-deoxyCer E-04 C20DH 1-deoxyCer E-03 C22DH 1-deoxyCer E-04
5 C24DH 1-deoxyCer E-02 C22 GlcCer E-03 C24 GlcCer E-02 C24 GalCer E-03 PA(36:1) E-03 PA(40:6) E-04 PA(40:4) E-03 PC(36:4) E-04 PC(38:5e) E-05 PC(38:4) E-03 LPC(18:0) E-03 PE(32:1) E-02 PE(36:4p) E-04 PE(36:3) E-03 PE(38:4p) E-04 PE(38:6) E-02 PE(40:6) E-04 LPE(18:2) E-03 LPE(18:1) E-02 LPE(20:4) E-03 LPE(22:6) E-03 LPE(22:5) E-03 LPE(22:4) E-03 BMP(40:8) E-04 BMP(40:7) E-03 PI(36:3) E-04 PI(38:5) E-03 PS(34:2) E-03 PS(34:1) E-03 PS(36:3) E-04 PS(36:2) E-05 PS(40:6) E-03 malate E-03 F16BP E-02
6 Supplementary Data File 2 TranscriptID EntrezID GeneSym S/N H/N H/S ENST PTGES ENST CYP2E ENST CYP2E ENST EPHX ENST GGT ENST CYP2C ENST CYP2C ENST GGT ENST PTGS ENST GGT ENST EPHX ENST CYP2C ENST PTGDS Color-scale ENST PLA2G4C ENST AKR1C ENST CYP2C ENST PLA2G2A ENST TBXAS ENST CYP2C ENST EPHX ENST PLA2G Fold changes of the medians, S/N, H/N and S/H, for the genes related to eicosanoids. Genes with H/S>1.25 or <0.80 are listed.
7 TranscriptID EntrezID GeneSym S/N H/N H/S ENST KDSR ENST SMPD ENST GBA ENST CERS ENST ARSA ENST UGCG Fold changes of the medians, S/N, H/N and S/H, for the genes related to sphingolipids.
8 TranscriptID EntrezID GeneSym S/N H/N H/S ENST ABCG ENST FDFT ENST CYP51A ENST HMGCS ENST MVK ENST TM7SF ENST DHCR ENST HMGCR ENST EBP ENST MSMO ENST HMGCR ENST SREBF ENST LSS ENST SQLE ENST LSS ENST FDPS ENST SQLE ENST MVD ENST FDPS ENST FDFT ENST NSDHL ENST HMGCS ENST FDPS Fold changes of the medians, S/N, H/N and S/H, for the genes related to sterols.
9 TranscriptID EntrezID GeneSym S/N H/N H/S ENST CHPT ENST CHPT ENST AGPAT ENST PLD ENST DGKZ ENST PCYT ENST PLA2G4C ENST DGKZ ENST PNPLA ENST PLA2G2A ENST CEPT ENST AGPAT ENST LCLAT ENST CRLS ENST AGPAT ENST AGPAT ENST PLA2G Fold changes of the medians, S/N, H/N and S/H, for the genes related to glycerophospholipids.
10 TranscriptID EntrezID GeneSym S/N H/N H/S ENST AGPAT ENST ALDH7A ENST GK ENST ALDH3A ENST ALDH ENST DGKZ ENST DGAT ENST ALDH7A ENST DGKZ ENST AKR1A ENST AKR1A ENST AGPAT ENST LCLAT ENST LIPC ENST AGPAT ENST AGPAT Fold changes of the medians, S/N, H/N and S/H, for the genes related to glycerolipids.
11 Supplementary Data File 3 crosscorrelation: MMP1 MMP2 MMP7 MMP8 MMP9 MMP11 MMP12 MMP14 MMP15 MMP16 MMP17 MMP19 MMP21 MMP23B TIMP1 TIMP2 TIMP3 FA(16:1) FA(18:0) FA(20:0) FA(20:2) hydroxycholesterol Desmethyllanosterol CE(16:0) CE(20:1) CE(22:2) CE(22:0) TAG(48:3) TAG(48:2) TAG(48:1) TAG(48:0) TAG(50:3) TAG(50:2) TAG(50:1) TAG(50:0) TAG(52:4) TAG(52:3) TAG(52:2) TAG(52:1) TAG(52:0) TAG(54:5) TAG(54:4) TAG(54:3) TAG(54:2) TAG(54:1) TAG(54:0) TAG(56:5) TAG(56:4) TAG(56:3) TAG(56:2) TAG(56:1) TAG(58:6) TAG(58:4) TAG(58:3) TAG(58:2) TAG(60:4) ,2-DAG(30:0) ,2-DAG(32:0) ,2-DAG(34:3) ,2-DAG(34:1) ,2-DAG(34:0) ,2-DAG(36:5) ,2-DAG(36:4) ,2-DAG(36:3) ,2-DAG(36:2) ,2-DAG(36:1) ,2-DAG(36:0) ,2-DAG(38:6) ,2-DAG(38:2) ,2-DAG(38:1) ,2-DAG(38:0) ,2-DAG(40:7) ,2-DAG(40:6) ,2-DAG(40:2) ,2-DAG(40:1) ,2-DAG(40:0) C14 Cer C16 Cer C18:1 Cer C26:1 Cer C14 HexCer C18:1 HexCer C26DH Cer C14DH HexCer C24DH Sphingomyelin Sphinganine Sphingosine C26:1 1-deoxyCer C26 1-deoxyCer
12 C26:1DH 1-deoxyCer C26DH 1-deoxyCer C14 GlcCer C18:1 GalCer C18 GalCer PA(34:0) PA(36:2) PA(36:1) PC(32:0) PC(36:4) PC(38:5) PC(38:4) LPC(16:0) PI(32:1) PI(34:1) PI(36:4) PI(36:3) PI(36:1) PI(38:5) PI(40:4) glutamate G6P
13 Supplementary Data File 4 SNP GeneSym P OR Alleles Mutation CHR SNP.1 BP A1 F_A F_U A2 CHISQ exm PNPLA [T/G] Missense_S453I 22 exm rs PNPLA [A/C] Silent 22 rs rs PNPLA [C/G] Missense_I148M 22 rs exm PNPLA [T/G] Missense_C99G 22 exm rs PNPLA [A/G] Silent 22 rs rs PNPLA [T/G] Silent 22 rs plink NS snp PNPLA3
14 SNP GeneSym P OR Alleles Mutation CHR SNP.1 BP A1 F_A F_U A2 CHISQ rs PNPLA [C/G] Missense_I148M 22 rs exm PNPLA [T/G] Missense_S453I 22 exm rs PNPLA [A/G] Silent 22 rs rs PNPLA [A/C] Silent 22 rs rs PNPLA [T/G] Silent 22 rs exm PNPLA [A/G] Missense_K434E 22 exm exm PNPLA [T/G] Missense_C99G 22 exm exm PNPLA [T/G] Missense_G115C 22 exm plink NH snp PNPLA3
15 SNP GeneSym P OR Alleles Mutation CHR SNP.1 BP A1 F_A F_U A2 CHISQ rs PNPLA [C/G] Missense_I148M 22 rs rs PNPLA [A/G] Silent 22 rs rs PNPLA [T/G] Silent 22 rs exm PNPLA [T/G] Missense_G115C 22 exm exm PNPLA [A/G] Missense_K434E 22 exm exm PNPLA [T/G] Missense_C99G 22 exm rs PNPLA [A/C] Silent 22 rs plink SH snp PNPLA3
16 SNP GeneSym P OR Alleles Mutation CHR SNP.1 BP A1 F_A F_U A2 CHISQ rs PNPLA3 1.77E [C/G] Missense_I148M 22 rs rs PNPLA3 1.45E [A/G] Silent 22 rs rs PNPLA3 4.19E [T/G] Silent 22 rs exm PNPLA [T/G] Missense_S453I 22 exm exm PNPLA [T/G] Missense_C99G 22 exm exm PNPLA [A/G] Missense_K434E 22 exm exm PNPLA [T/G] Missense_G115C 22 exm rs PNPLA [A/C] Silent 22 rs plink NC snp PNPLA3
17 SNP GeneSym P OR Alleles Mutation CHR SNP.1 BP A1 F_A F_U A2 CHISQ rs PNPLA [C/G] Missense_I148M 22 rs rs PNPLA [A/G] Silent 22 rs exm-rs228113pnpla [A/G] Silent 22 exm-rs rs PNPLA [T/G] Silent 22 rs exm PNPLA [T/G] Missense_C99G 22 exm exm PNPLA [T/G] Missense_G115C 22 exm rs PNPLA [A/C] Silent 22 rs exm PNPLA [A/G] Missense_K434E 22 exm plink SC snp PNPLA3
18 SNP GeneSym P OR Alleles Mutation CHR SNP.1 BP A1 F_A F_U A2 CHISQ rs PNPLA [C/G] Missense_I148M 22 rs rs PNPLA [A/G] Silent 22 rs exm-rs PNPLA [A/G] Silent 22 exm-rs rs PNPLA [T/G] Silent 22 rs exm PNPLA [T/G] Missense_S453I 22 exm exm PNPLA [T/G] Missense_C99G 22 exm exm PNPLA [A/C] Missense_P186H 22 exm rs PNPLA [A/C] Silent 22 rs exm PNPLA [T/G] Missense_G115C 22 exm exm PNPLA3 1 1 [A/G] Missense_K434E 22 exm plink HC snp PNPLA3
19 Supplementary Data File 5 Sample/Person H S Comments S E E+00 S E E+00 S E E-01 S E E+00 S E E+00 S E E+00 S E E+00 S E E+00 S E E+00 S E E+00 S E E+00 S E E+00 S E E+00 S E E+00 S E E-01 S E E+00 H E E-15 H E E-43 H E E-17 H E E+00 misclassified H E E-13 H E E-26 H E E-12 H E E-24 H E E-02 H E E-21 H E E-29 H E E-11 H E E-29 H E E-08 H E E-01 misclassified Posterior
20 Lipid name LDA 1 coefficiemean_of_s Mean_of_H PC(36:2e) -4.19E PC(36:0e) 4.19E Dolichol E LPI(18:0) 1.79E PE(38:5p) 1.13E LPI(20:4) -4.34E C26DH 1-deoxyCer 3.30E CE(22:5) 2.29E C16 Cer 2.48E C18 GalCer -2.80E hydroxycholesterol -2.39E PI(32:1) -5.31E C18DH Cer 2.84E C20 Cer -5.70E C18 Cer -3.54E CE(22:6) -3.03E ,25-epoxycholesterol -7.22E Sphingosine 1.23E PC(32:0) 7.79E FA(20:2) 1.27E Result of procedure LDA2 on plasma lipids to classify NASH vs. steatosis samples. First LDA was applied on 30 top ANOVA lipids, then on 20 selected lipids (see also Supplementary Figure S7).
Biomarkers of NAFLD progression an omics approach to an epidemic
Biomarkers of NAFLD progression an omics approach to an epidemic D. Lee Gorden 1,2, David S. Myers 3, Pavlina T. Ivanova 3, Eoin Fahy 4, Mano R. Maurya 4, Shakti Gupta 4, Jun Min 4, Nathanael J. Spann
More informationBiomarkers of NAFLD progression: a lipidomics approach to an epidemic
Biomarkers of NAFLD progression: a lipidomics approach to an epidemic D. Lee Gorden 1,2, David S. Myers 3, Pavlina T. Ivanova 3, Eoin Fahy 4, Mano R. Maurya 4, Shakti Gupta 4, Jun Min 4, Nathanael J. Spann
More informationSUPPORTING INFORMATION. Nontargeted quantitation of lipid classes using hydrophilic interaction liquid
SUPPORTING INFORMATION Nontargeted quantitation of lipid classes using hydrophilic interaction liquid chromatography - electrospray ionization mass spectrometry with single internal standard and response
More informationSupplementary Materials Modeling cholesterol metabolism by gene expression profiling in the hippocampus
Supplementary Materials Modeling cholesterol metabolism by gene expression profiling in the hippocampus Christopher M. Valdez 1, Clyde F. Phelix 1, Mark A. Smith 3, George Perry 1,2, and Fidel Santamaria
More informationPoly-unsaturated phospholipids WE (FA18:1) A B C D OAHFA 18:1/24:0 OAHFA 18:1/30:2 PS 38:4 C18:1C23:0 OAHFA 18:1/25:0 OAHFA 18:1/30:1
Figure S1, related to Figure 1. Correlation scatter plots illustrating individual lipid species from various classes that exhibited statistically significant correlations to age. (A-B) Various species
More informationAnti-Inflammatory Effects of Fish Oils
Anti-Inflammatory Effects of Fish Oils A. Macrophage Production of Eicosanoids B. w-3 PUFA Supplementation of Macrophages C. w-3 PUFA in IR & diabetes Oswald Quehenberger Departments of Medicine and Pharmacology
More informationLIPIDS Introduction - complex lipids. Marek Vecka
LIPIDS Introduction - complex lipids Marek Vecka CLASSIFICATION OF LIPIDS IV - biosynthetic route Lipid class Fatty acyls Glycerolipids Glycerophospholipids Sphingolipids Sterol lipids Prenol lipids Other
More informationCORRECTION NOTICE. Nat. Chem. Biol. 11, (2015) Sterol metabolism controls T H 17 differentiation by generating endogenous RORγ agonists
CORRECTION NOTICE Nat. Chem. Biol. 11, 141 147 (2015) Sterol metabolism controls T H 17 differentiation by generating endogenous RORγ agonists Xiao Hu, Yahong Wang, Ling-Yang Hao, Xikui Liu, Chuck A Lesch,
More informationSphingolipids Sphingosines, Ceramides, SM, Glycosphingolipids, Phytosphingosines, Inhibitors, Agonists
Avanti Price List January 2015 Lipidomics Products Monoclonal Antibodies, Lipid Snoopers, Lipidomix Toolbox, MS Standards General Products Sphingolipids Sphingosines, Ceramides, SM, Glycosphingolipids,
More informationSphingolipids Sphingosines, Ceramides, SM, Glycosphingolipids, Phytosphingosines, Inhibitors, Agonists
Avanti Price List January 2016 Lipidomics Products Monoclonal Antibodies, Lipid Snoopers, Lipidomix Toolbox, MS Standards General Products Sphingolipids Sphingosines, Ceramides, SM, Glycosphingolipids,
More informationSurface and Interface Analysis. Journal: Surface and Interface Analysis
Surface and Interface Analysis C 0 -SIMS Studies of Glycerophospholipid in a LIPID MAPS Model Cell Line: KDO -Lipid A Stimulated RAW. Cells Journal: Surface and Interface Analysis Manuscript ID: Draft
More information2 nd International Workshop on NASH Biomarkers, Washington DC, May 5-6, 2017
Hepatic Proton Density Fat Fraction Correlates With Histologic Measures of Steatosis and Is Responsive to Changes in Those Measures in a Multi-center Nonalcoholic Steatohepatitis Clinical Trial Michael
More information2018 Kern Lipid Conference
2018 Kern Lipid Conference Metabolic Regulation of Immunity, Cardiometabolic Diseases and Cancer: New Therapeutic Approaches Monday, August 13, 2018 to Wednesday, August 15, 2018 - Vail, Colorado Organizers:
More informationMS/MS analysis of plasma from AD patients and healthy volunteers (n=8 healthy volunteers
Figure S. PGFα, - and -HETE are elevated in of patients with Acute Decompensation (AD) when compared with healthy volunteers. (a-g) Lipidomic LC/ESI- MS/MS analysis of from AD patients and healthy volunteers
More informationMetabolism dysregulation induces a specific lipid signature of nonalcoholic steatohepatitis in patients
Metaolism dysregulation induces a specific lipid signature of nonalcoholic steatohepatitis in patients Franck Chiappini, Audrey Coilly, Hanane Kadar, Philippe Gual, Alert Tran, Christophe Desterke, Didier
More informationDECLARATION OF CONFLICT OF INTEREST. None
DECLARATION OF CONFLICT OF INTEREST None Plasma Lipidomic Analysis of Stable and Unstable Coronary Artery Disease Peter J Meikle 1, Gerard Wong 1, Despina Tsorotes 1, Christopher K Barlow 1, Jacquelyn
More informationSupplemental Information. Genetic Regulation of Plasma Lipid Species. and Their Association with Metabolic Phenotypes
Cell Systems, Volume 6 Supplemental Information Genetic Regulation of Plasma Lipid Species and Their Association with Metabolic Phenotypes Pooja Jha, Molly T. McDevitt, Emina Halilbasic, Evan G. Williams,
More informationLC/MS Method for Comprehensive Analysis of Plasma Lipids
Application Note omics LC/MS Method for Comprehensive Analysis of Plasma s Authors Tomas Cajka and Oliver Fiehn West Coast Metabolomics Center, University of California Davis, 451 Health Sciences Drive,
More informationSimvastatin Modulates the Alzheimer s Disease-Related Gene seladin-1
Journal of Alzheimer s Disease 28 (2012) 1 5 IOS Press 1 Supplementary Data Simvastatin Modulates the Alzheimer s Disease-Related Gene seladin-1 Maria C. Ramos, Saleta Sierra, Carlos Ramirez, Javier Velasco
More informationOverview on the identification of different classes of. lipids by HPTLC (High Performance Thin Layer. Chromatography) and ITLC (Immuno Thin Layer
Overview on the identification of different classes of lipids by HPTLC (High Performance Thin Layer Chromatography) and ITLC (Immuno Thin Layer Chromatography) Iuliana Popa 1, Marie-Jeanne David 2, Daniel
More informationMetabolomics and Lipidomics Approaches for Biomedical Research and Biomarker Discovery
Metabolomics and Lipidomics Approaches for Biomedical Research and Biomarker Discovery Giuseppe Astarita Principal Scientist, Health Sciences Waters Corp, USA Waters Users Meeting ASMS 30 May, 2015 2015
More informationspecial report Shorthand notation for lipid structures derived from mass spectrometry
special report Shorthand notation for lipid structures derived from mass spectrometry Gerhard Liebisch, 1, * Juan Antonio Vizcaíno, Harald Köfeler, ** Martin Trötzmüller, ** William J. Griffiths, Gerd
More informationImpact of Chromatography on Lipid Profiling of Liver Tissue Extracts
Impact of Chromatography on Lipid Profiling of Liver Tissue Extracts Application Note Clinical Research Authors Mark Sartain and Theodore Sana Agilent Technologies, Inc. Santa Clara, California, USA Introduction
More informationSelexION Technology for Lipid Analysis: Pushing the Boundaries of Lipidomics
ANSWERS FOR SCIENCE. KNOWLEDGE FOR LIFE. SelexION Technology for Lipid Analysis: Pushing the Boundaries of Lipidomics Baljit Ubhi, Ph.D ASMS Baltimore, June 2014 Lipidomics Profiling Needs and Deliverables
More informationSupplemental Information. LipiDex: An Integrated Software Package. for High-Confidence Lipid Identification
Cell Systems, Volume 6 Supplemental Information LipiDex: An Integrated Software Package for High-Confidence Lipid Identification Paul D. Hutchins, Jason D. Russell, and Joshua J. Coon Figure S1. Omics
More informationSupporting information
Supporting information A novel lipidomics workflow for improved human plasma identification and quantification using RPLC-MSn methods and isotope dilution strategies Evelyn Rampler 1,2,3, Angela Criscuolo
More informationSupplementary Figure 1
Supplementary Figure 1 A B mir-141, human cell lines mir-2c, human cell lines mir-141, hepatocytes mir-2c, hepatocytes Relative RNA.1.8.6.4.2 Relative RNA.3.2.1 Relative RNA 1.5 1..5 Relative RNA 2. 1.5
More informationSweat lipid mediator profiling: a non-invasive approach for cutaneous research
SUPPLEMENTAL INFORMATION: Sweat lipid mediator profiling: a non-invasive approach for cutaneous research Karan Agrawal 1,2, Lauren A. Hassoun 3, Negar Foolad 3, Theresa L. Pedersen 2,4, Raja K. Sivamani
More informationAbout OMICS International Conferences
About OMICS Group OMICS Group is an amalgamation of Open Access publications and worldwide international science conferences and events. Established in the year 2007 with the sole aim of making the information
More informationRegulated Accumulation of Desmosterol Integrates Macrophage Lipid Metabolism and Inflammatory Responses
Regulated Accumulation of Desmosterol Integrates Macrophage Lipid Metabolism and Inflammatory Responses Nathanael J. Spann, 1,11 Lana X. Garmire,,11 Jeffrey G. McDonald, 5 David S. Myers, 6 Stephen B.
More informationThe use of mass spectrometry in lipidomics. Outlines
The use of mass spectrometry in lipidomics Jeevan Prasain jprasain@uab.edu 6-2612 utlines Brief introduction to lipidomics Analytical methodology: MS/MS structure elucidation of phospholipids Phospholipid
More informationTable S1. Primer sequences used for qrt-pcr. CACCATTGGCAATGAGCGGTTC AGGTCTTTGCGGATGTCCACGT ACTB AAGTCCATGTGCTGGCAGCACT ATCACCACTCCGAAGTCCGTCT LCOR
Table S1. Primer sequences used for qrt-pcr. ACTB LCOR KLF6 CTBP1 CDKN1A CDH1 ATF3 PLAU MMP9 TFPI2 CACCATTGGCAATGAGCGGTTC AGGTCTTTGCGGATGTCCACGT AAGTCCATGTGCTGGCAGCACT ATCACCACTCCGAAGTCCGTCT CGGCTGCAGGAAAGTTTACA
More informationMass Spectrometry based metabolomics
Mass Spectrometry based metabolomics Metabolomics- A realm of small molecules (
More informationPhospholipids Metabolism
Chapter VI: Phospholipids Metabolism Dr. Sameh Sarray Hlaoui Phospholipids Features: Amphipatic: - Hydrophobic head: fatty acids - Hydropholic head: P group+ alcohol Composed of alcohol attached by a phosphodiester
More informationMaster class Biomolecular Sciences Molecular Cell Biology.
Master class Biomolecular Sciences Molecular Cell Biology. 04-09-08: Paul van Bergen en Henegouwen. Clathrin-indep Endocytosis 11-09-08: Willem Stoorvogel. Endocytosis and MHC classii 18-09-08: X-track
More informationInvestigating causality in the association between 25(OH)D and schizophrenia
Investigating causality in the association between 25(OH)D and schizophrenia Amy E. Taylor PhD 1,2,3, Stephen Burgess PhD 1,4, Jennifer J. Ware PhD 1,2,5, Suzanne H. Gage PhD 1,2,3, SUNLIGHT consortium,
More informationLipid Biosynthesis. Craig Wheelock February 2nd, 2009 Questions? Comments?
Lipid Biosynthesis Craig Wheelock February 2nd, 2009 Questions? Comments? craig.wheelock@ki.se Why do we care about lipids? ~80% of European population overweight ~ 1/3 obese =130 million obese adults
More informationLIPIDS TAG, PL and SL metabolism. Marek Vecka
LIPIDS TAG, PL and SL metabolism Marek Vecka BIOSYNTHESIS OF TAG TWO BIOSYNTHETIC PATHWAYS IN MAMMALS liver, adipose tissue - use mainly phosphatidate pathway ( Kennedy pathway ) intestine - monoacylglycerol
More informationReduced dietary levels of EPA and DHA have a major impact on the composition of
Supplementary materials Reduced dietary levels of EA and DHA have a major impact on the composition of skin membrane lipids in Atlantic salmon (Salmo salar L.) Ken Cheng *,, Marta Bou, Bente Ruyter, Jana
More informationCholesterol synthesis pathway genes in prostate cancer are transcriptionally downregulated when tissue confounding is minimized
Rye et al. BMC Cancer (2018) 18:478 https://doi.org/10.1186/s12885-018-4373-y RESEARCH ARTICLE Cholesterol synthesis pathway genes in prostate cancer are transcriptionally downregulated when tissue confounding
More informationSuppl. Table 1: CV of pooled lipoprotein fractions analysed by ESI-MS/MS
Supplement VLDL LDL HDL PC 3.3 1.77 1.3 LPC 4.82 2.5.35 SM 3.1 4.6 1.92 CER 2.17 6.3 4.15 PE 3.18 1.93 2.79 PE-pl 13.18 1.9 2.32 CE 2.9.65.4 FC.36 3.5 2.54 Suppl. Table 1: CV of pooled lipoprotein fractions
More informationHmgcoar AGCTTGCCCGAATTGTATGTG TCTGTTGTAACCATGTGACTTC. Cyp7α GGGATTGCTGTGGTAGTGAGC GGTATGGAATCAACCCGTTGTC
Supplement Table I: primers for Real Time RT-PCR Gene Foward Reverse Hmgcoar AGCTTGCCCGAATTGTATGTG TCTGTTGTAACCATGTGACTTC Cyp7α GGGATTGCTGTGGTAGTGAGC GGTATGGAATCAACCCGTTGTC Cyp27a1 GTGGTCTTATTGGGTACTTGC
More informationMetabolism of acylglycerols and sphingolipids. Martina Srbová
Metabolism of acylglycerols and sphingolipids Martina Srbová Types of glycerolipids and sphingolipids 1. Triacylglycerols function as energy reserves adipose tissue (storage of triacylglycerol), lipoproteins
More informationGlycerolipid Analysis. LC/MS/MS Analytical Services
Glycerolipid Analysis LC/MS/MS Analytical Services Molecular Characterization and Quantitation of Glycerophospholipids in Commercial Lecithins by High Performance Liquid Chromatography with Mass Spectrometric
More informationThermo Scientific LipidSearch Software for Lipidomics Workflows. Automated Identification and Relative. Quantitation of Lipids by LC/MS
Thermo Scientific LipidSearch Software for Lipidomics Workflows Automated Identification and Relative of Lipids by LC/MS The promise of lipidomics Lipidomics is a new field of study crucial for understanding
More informationMethods. BSA from some suppliers was contaminated or became so during incubation at 37 o C for the preparation of the fatty acid-bsa complex.
Supplementary Materials and Methods for: Kdo2-Lipid A, a TLR4 specific agonist, induces de novo sphingolipid biosynthesis in RAW264.7 macrophages, which is essential for induction of autophagy by Kacee
More informationCt=28.4 WAT 92.6% Hepatic CE (mg/g) P=3.6x10-08 Plasma Cholesterol (mg/dl)
a Control AAV mtm6sf-shrna8 Ct=4.3 Ct=8.4 Ct=8.8 Ct=8.9 Ct=.8 Ct=.5 Relative TM6SF mrna Level P=.5 X -5 b.5 Liver WAT Small intestine Relative TM6SF mrna Level..5 9.6% Control AAV mtm6sf-shrna mtm6sf-shrna6
More informationLipidomics Workshop 8:00AM-1:00 PM, Saturday, April 28, 2007 Grand Ballroom South of the Renaissance Hotel 999 Ninth Street NW, Washington, DC Al
Lipidomics Workshop 8:00AM-1:00 PM, Saturday, April 28, 2007 Grand Ballroom South of the Renaissance Hotel 999 Ninth Street NW, Washington, DC Al Merrill cell phone: 678-895-7029 LIPID MAPS Lipidomics
More informationCommensal Bacteria at the Crossroad Between Cholesterol Homeostasis and Chronic Inflammation. in Atherosclerosis
Supplementary Information Commensal Bacteria at the Crossroad Between Cholesterol Homeostasis and Chronic Inflammation in Atherosclerosis Kazuyuki Kasahara 1,, Takeshi Tanoue 3, Tomoya Yamashita 1,*, Keiko
More informationReviewers' comments: Reviewer #1 (expert in lipid metabolism) Remarks to the Author:
Reviewers' comments: Reviewer #1 (expert in lipid metabolism) Remarks to the Author: In the manuscript by Ohno et al, the authors set out to identify the enzyme responsible for the ester bond formation
More informationCEU MASS MEDIATOR USER'S MANUAL Version 2.0, 31 st July 2017
CEU MASS MEDIATOR USER'S MANUAL Version 2.0, 31 st July 2017 1. Introduction... 2 1.1. System Requirements... 2 2. Peak search... 3 2.1. Simple Search... 3 2.2. Advanced Search... 5 2.3. Batch Search...
More informationSASI Analysis of Funds Distributed in the United States By the Centers for Disease Control and Prevention (CDC) Pursuant to PS
SASI Analysis of Funds Distributed in the United States By the Centers for Disease Control and Prevention (CDC) Pursuant to PS17-1704 1 April 13, 2017 INTRODUCTION In the Summer of 2016, the Centers for
More informationPrinciples of Shotgun Lipidomics
Principles of Shotgun Lipidomics Xianlin Han Diabetes and Obesity Research Center Sanford-Burnham Medical Research Institute Lake Nona Orlando, FL 32827 What is shotgun lipidomics? Original definition
More informationSphingolipids Sphingosines, Ceramides, SM, Glycosphingolipids, Phytosphingosines, Inhibitors, Agonists
Avanti Product List January 2015 Lipidomics Products Monoclonal Antibodies, Lipid Snoopers, Lipidomix Toolbox, MS Standards General Products Sphingolipids Sphingosines, Ceramides, SM, Glycosphingolipids,
More informationSUPPLEMENTAL MATERIAL
SUPPLEMENTAL MATERIAL Supplemental Methods Lipid extraction. Tissue was pulverized with a mortar and pestle or a ball-grinding method (Mikro Dismembrator, Sartorius). All subsequent steps were performed
More informationLipid Analysis. Andréina Laffargue, IRD CRYMCEPT Montpellier workshop, October 17th Introduction to lipid structures
Lipid Analysis Andréina Laffargue, IRD CRYMCEPT Montpellier workshop, October 17th 2005 Introduction to lipid structures Fatty acids Acylglycerols Glycerophospholipids Sterols Strategies involved in lipid
More informationFuture Directions: Tissue and Cell Imaging Robert C. Murphy
LIPID MAPS Lipidomics Workshop April 19, 2009 www.lipidmaps.org m/z 806 (16:0a/22:6-PC) [M+H] + Future Directions: Tissue and Cell Imaging Robert C. Murphy 16:0/22:6 PC m/z 806.4 Department of Pharmacology
More informationImaging of lipid species by MALDI mass spectrometry
Imaging of lipid species by MALDI mass spectrometry Robert C. Murphy, 1 Joseph A. Hankin, and Robert M. Barkley Department of Pharmacology, MS 8303 University of Colorado Denver, Aurora, CO 80045 Abstract
More informationEARLY INFLAMMATORY RESPONSES TO VASCULAR DEVICES
EARLY INFLAMMATORY RESPONSES TO VASCULAR DEVICES JAMES M. ANDERSON, MD, PhD DISTINGUISHED UNIVERSITY PROFESSOR DEPARTMENTS OF PATHOLOGY, MACROMOLECULAR SCIENCE, AND BIOMEDICAL ENGINEERING CASE WESTERN
More informationLoss of protein association causes cardiolipin degradation in Barth syndrome
SUPPLEMENTARY INFORMATION Loss of protein association causes cardiolipin degradation in Barth syndrome Yang Xu 1, Colin K.L. Phoon 2, Bob Berno 5, Kenneth D Souza 6, Esthelle Hoedt 4, Guoan Zhang 4, Thomas
More informationRelative activity (%) SC35M
a 125 Bat (H17N) b 125 A/WSN (H1N1) Relative activity (%) 0 75 50 25 Relative activity (%) 0 75 50 25 0 Pos. Neg. PA PB1 Pos. Neg. NP PA PB1 PB2 0 Pos. Neg. NP PA PB1 PB2 SC35M Bat Supplementary Figure
More informationMass-Spectrometric Analysis of Lipids (Lipidomics)
Mass-Spectrometric Analysis of Lipids (Lipidomics) 1. Identification 2. Quantification 3. Metabolism Why to do lipidomics? Biology: Functions of different lipids? Medicine: Diagnostics and Therapy Industry:
More informationBiomarkers for Psychiatric Drug Toxicity. Oct 24, 2008 Thomas R. Insel, M.D. Director, NIMH
Biomarkers for Psychiatric Drug Toxicity Oct 24, 2008 Thomas R. Insel, M.D. Director, NIMH Burden of Disease (DALYs) U.S., Canada, and Western Europe 15-44 years old Mental Illness* Injuries, including
More informationPlatelet Amyloid Precursor Protein Processing: A Biomarker for Alzheimer s Disease.
Platelet Amyloid Precursor Protein Processing: A Biomarker for Alzheimer s Disease. Roger N. Rosenberg, MD Alzheimer s Disease Center University of Texas Southwestern Medical Center at Dallas Disclosures:
More informationMASS SPECTROMETRY STRATEGIES FOR COMPREHENSIVE LIPIDOME ANALYSIS OF COLORECTAL CANCER CELLS AND THEIR SECRETED EXOSOMES. Cassie J.
MASS SPECTROMETRY STRATEGIES FOR COMPREHENSIVE LIPIDOME ANALYSIS OF COLORECTAL CANCER CELLS AND THEIR SECRETED EXOSOMES By Cassie J. Fhaner A DISSERTATION Submitted to Michigan State University in partial
More informationObtaining Answers to Biological Questions Sample Prep to Data Analysis. Jeremiah D. Tipton, Ph.D. SCIEX Advanced Workflow Specialist in OMICS
Obtaining Answers to Biological Questions Sample Prep to Data Analysis Jeremiah D. Tipton, Ph.D. SCIEX Advanced Workflow Specialist in OMICS OMICS Research Why Quantitative OMICS? 2 2015 AB Sciex SCIEX
More informationPlasma long-chain free fatty acids predict mammalian longevity
Plasma long-chain free fatty acids predict mammalian longevity Mariona Jové 1, Alba Naudí 1, Juan Carlos Aledo, Rosanna Cabré 1, Victoria Ayala 1, Manuel Portero-Otin 1, Gustavo Barja & Reinald Pamplona
More informationSupplementary Figure 1. PAQR3 knockdown inhibits SREBP-2 processing in CHO-7 cells CHO-7 cells were transfected with control sirna or a sirna
Supplementary Figure 1. PAQR3 knockdown inhibits SREBP-2 processing in CHO-7 cells CHO-7 cells were transfected with control sirna or a sirna targeted for hamster PAQR3. At 24 h after the transfection,
More informationLipid and Bile Acids as NAFLD- Related Biomarkers
Lipid and Bile Acids as NAFLD- Related Biomarkers Puneet Puri, MBBS, MD Division of Gastroenterology, Hepatology and Nutrition Virginia Commonwealth University, Richmond, VA 1st International Workshop
More informationANSC (NUTR) 618 LIPIDS & LIPID METABOLISM Membrane Lipids and Sphingolipidsd
ANSC (NUTR) 618 LIPIDS & LIPID METABOLISM Membrane Lipids and Sphingolipidsd I. Classes of membrane lipids A. Glycerolipids (quantitatively the most important of the three membrane lipids) B. Shingolipids
More informationInhibitory Effect of Methotrexate on Rheumatoid Arthritis Inflammation and Comprehensive Metabolomics Analysis Using UPLC-Q/TOF-MS
SUPPLEMENTARY MATERIALS Inhibitory Effect of Methotrexate on Rheumatoid Arthritis Inflammation and Comprehensive Metabolomics Analysis Using UPLC-Q/TOF-MS Zhiqiang Pang 1, Guoqiang Wang 1, Nan Ran 1, Hongqiang
More informationABSTRACT TOXICOLOGICAL SCIENCES, 149(2), 2016,
TOXICOLOGICAL SCIENCES, 149(2), 2016, 441 457 doi: 10.1093/toxsci/kfv244 Advance Access Publication Date: November 17, 2015 Research Article Effects of Cigarette Smoke, Cessation, and Switching to Two
More informationSupplement: Table 1 List of analyzed metabolites Acylcarnitines (41)
Supplement: Table 1 List of analyzed metabolites Acylcarnitines (41) C0 Carnitine C2 Acetylcarnitine C3 Propionylcarnitine C3:1 Propenoylcarnitine semi- C3-OH Hydroxypropionylcarnitine semi- C4 Butyrylcarnitine
More informationBiology 638 Biochemistry II Exam-3. (Note that you are not allowed to use any calculator)
Biology 638 Biochemistry II Exam-3 (Note that you are not allowed to use any calculator) 1. In the non-cyclic pathway, electron pathway is. Select the most accurate one. a. PSII PC Cyt b 6 f PC PSI Fd-NADP
More informationLipid Class Separation Using UPC 2 /MS
Michael D. Jones, 1,3 Giorgis Isaac, 1 Giuseppe Astarita, 1 Andrew Aubin, 1 John Shockcor, 1 Vladimir Shulaev, 2 Cristina Legido-Quigley, 3 and Norman Smith 3 1 Waters Corporation, Milford, MA, USA 2 Department
More informationDietary Zinc Alters the Microbiota and Decreases Resistance to Clostridium difficile Infection
1 Dietary Zinc Alters the Microbiota and Decreases Resistance to Clostridium difficile Infection 2 3 4 5 Joseph P. Zackular 1, Jessica L. Moore 2,3, Ashley T. Jordan 1, Lillian J. Juttukonda 1, Michael
More informationBiological markers for abuse and addiction
Biological markers for abuse and addiction - Tomáš Zima Institute of Clinical Chemistry and Laboratory Diagnostic Charles University Denial is the feature of the alcoholism Patient s history. Family Psychologic
More information1 Corresponding author: Hideo Shindou, Department of Biochemistry and Molecular Biology,
Recent progress on Acyl-CoA:lysophospholipid acyltransferase research* Hideo Shindou 1, Daisuke Hishikawa, Takeshi Harayama, Koichi Yuki, and Takao Shimizu From the Department of Biochemistry and Molecular
More informationLipids and mediators as smoking related biomarkers of effect Josef Ecker, Katharina Sterz, Gerhard Scherer. Josef Ecker, PhD
Lipids and mediators as smoking related biomarkers of effect Josef Ecker, Katharina Sterz, Gerhard Scherer Josef Ecker, PhD ABF, Analytisches-Biologisches Forschungslabor GmbH, München, Germany Congress2012
More informationPREPARED FOR: U.S. Army Medical Research and Materiel Command Fort Detrick, Maryland
AD Award Number: DAMD17-01-1-0112 TITLE: Genetic Epidemiology of Prostate Cancer PRINCIPAL INVESTIGATOR: Susan L. Neuhausen, Ph.D. CONTRACTING ORGANIZATION: University of California, Irvine Irvine, California
More informationYun-Jung Choi, Jiangao Song, Jeff D. Johnson, Charles McWherter. NASH-TAG Conference Park City, Utah January 4, 2019
Combination Therapy of Seladelpar and Liraglutide Attenuates Obesity, Hepatic Steatosis and Fibrosis in a Diet-induced and Biopsy-confirmed Mouse Model of NASH Yun-Jung Choi, Jiangao Song, Jeff D. Johnson,
More informationSynthesis and elongation of fatty acids
Synthesis and elongation of fatty acids A molecular caliper mechanism for determining very long-chain fatty acid length Vladimir Denic and Jonathan S. Weissman (2007) Cell 130, 663-677 February 28, 2008
More informationMolecular Organization of the Cell Membrane
Molecular Organization of the Cell Membrane A walk from molecules to a functional biostructure Cell Membrane Definition An ultrastructure separating connecting the cell to the environment 1 Coarse chemical
More informationMDA231 Cells MCF7 Cells 1,5. mrna levels of FoxA2. Relative expression 1,0 0,5 *** 0, Sh Control. Sh FoxA2.
Figure S1 related to Figure 1.- FoxA family of transcription factors and breast cancer growth. (a) Correlation plots between the expression of the indicated genes in human breast cancer specimens (MCKC/EMC
More informationThis article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution
More informationEffects of Cholesterol on Membranes: Physical Properties
Effects of Cholesterol on Membranes: Physical Properties Removes gel to liquid crystal phase transition New intermediate phase called liquid ordered - ordering of the membrane lipids due to condensation
More informationEdward Fox, MD, PhD Clinical Associate Professor, University of Texas Dell Medical School
Phase 2 Multicenter Study Results of Ublituximab, a Novel Glycoengineered AntiCD20 Monoclonal Antibody (mab), in Patients with Relapsing Multiple Sclerosis (RMS) Edward Fox, MD, PhD Clinical Associate
More informationALT (U/L) (Relative expression) HDL (mm) (Relative expression) ALT (U/L) (Relative expression)
a DMT mrna () 8 6 r =.96 P =. DMT mrna () 8 6 r =. P =.6 DMT mrna () 8 6 r =.99 P =.6 DMT mrna () 8 6 r =. P =.9 DMT mrna () BMI (kg/m ) 8 6 r =.7 P =.966 DMT mrna () 8 ALT (U/L) 8 6 r = -.66 P =.76 DMT
More informationCitric acid cycle and respiratory chain. Pavla Balínová
Citric acid cycle and respiratory chain Pavla Balínová Mitochondria Structure of mitochondria: Outer membrane Inner membrane (folded) Matrix space (mtdna, ribosomes, enzymes of CAC, β-oxidation of FA,
More informationFacts on Fats. Ronald P. Mensink
Facts on Fats Ronald P. Mensink Department of Human Biology NUTRIM, School for Nutrition, Toxicology and Metabolism Maastricht University Maastricht The Netherlands Outline of the Presentation Saturated
More informationOverall Survival (OS) Analysis From an Expanded Access Program (EAP) of Nivolumab (NIVO) in Combination with Ipilimumab (IPI) in Patients with Advanced Melanoma (MEL) David Hogg, Paul B. Chapman, 2 Mario
More informationh h h h h h h h h 5-HETE 11-HETE 19-HETE 20-HETE * * * *
L ip id m e d ia to r (fo ld c h a n g e ) Figure S1 Figure S1. Oxylipin formation in acute inflammation and resolution. Mean fold change in (A) COX products: eicosanoids; (B) 5-, 11-, 19- and 2-HETE;
More informationComprehensive Lipidome Analysis by Shotgun Lipidomics on a Hybrid Quadrupole-Orbitrap-Linear Ion Trap Mass Spectrometer
B American Society for Mass Spectrometry, 2014 J. Am. Soc. Mass Spectrom. (2015) 26:133Y148 DOI: 10.1007/s13361-014-1013-x RESEARCH ARTICLE Comprehensive Lipidome Analysis by Shotgun Lipidomics on a Hybrid
More informationAbhd2 regulates alveolar type Ⅱ apoptosis and airway smooth muscle remodeling: a key target of COPD research
Abhd2 regulates alveolar type Ⅱ apoptosis and airway smooth muscle remodeling: a key target of COPD research Shoude Jin Harbin Medical University, China Background COPD ------ a silent killer Insidious,
More informationPlacebo-Controlled Pilot Study of Arcalyst (rilonacept) a Long Acting IL-1 Inhibitor, in Refractory Chronic Active Gouty Arthritis
Placebo-Controlled Pilot Study of Arcalyst (rilonacept) a Long Acting IL-1 Inhibitor, in Refractory Chronic Active Gouty Arthritis Allen Radin 6, Robert Terkeltaub 1, H. Ralph Schumacher, Jr. 2, John Sundy
More informationIncreased Matrix Metalloproteinase-9 Predicts Poor Wound Healing in Diabetic Foot Ulcers
Diabetes Care Publish Ahead of Print, published online October 3, 2008 MMP-9 Predicts Wound Healing Increased Matrix Metalloproteinase-9 Predicts Poor Wound Healing in Diabetic Foot Ulcers Yu Liu, MD 1,
More informationSphingolipids (and precursor fatty acyl-coa s) M. Cameron Sullards
LIPID MAPS Lipidomics Workshop April 28, 2007 www.lipidmaps.org Sphingolipids (and precursor fatty acyl-coa s) M. Cameron Sullards Schools of Chemistry, Biochemistry and Biology & Petit Institute for Bioengineering
More informationSupplementary material
Electronic Supplementary Material (ESI) for Molecular BioSystems. This journal is The Royal Society of Chemistry 2015 Epithelial-to-mesenchymal transition involves triacylglycerol accumulation in DU145
More informationPHOSPHOLIPIDS METABOLISM. BY Dr. Walid Said Zaki Dr. Marwa Ali LECTURER OF BIOCHEMISTRY AND MOLECULAR BIOLOGY
PHOSPHOLIPIDS METABOLISM BY Dr. Walid Said Zaki Dr. Marwa Ali LECTURER OF BIOCHEMISTRY AND MOLECULAR BIOLOGY 1. State the definition and classification of Phospholipids. 2. Describe the general structure
More informationThomas S. Valley, MD, MSc Clinical Lecturer T32 Research Fellow
Education and Training Education Thomas S. Valley, MD, MSc Clinical Lecturer T32 Research Fellow Division of Pulmonary and Critical Care Medicine 2800 Plymouth Road Building 16-100N-22 48109 Phone: (734)
More information