#METABOLOMICS WORKBENCH michaelsa93_20180524_133831_mwtab.txt DATATRACK_ID:1407 STUDY_ID:ST000977 ANALYSIS_ID:AN001598 PROJECT_ID:PR000667 VERSION 1 CREATED_ON May 30, 2018, 12:46 pm #PROJECT PR:PROJECT_TITLE Identification of unique metabolite networks between Latino and Caucasian PR:PROJECT_TITLE patients with nonalcoholic fatty liver disease (NAFLD) PR:PROJECT_SUMMARY Nonalcoholic fatty liver disease (NAFLD) is a spectrum of liver pathology PR:PROJECT_SUMMARY ranging from simple steatosis to nonalcoholic steatohepatitis (NASH); the latter PR:PROJECT_SUMMARY is characterized by inflammation and fibrosis. Risk factors for NALFD include PR:PROJECT_SUMMARY obesity, diabetes, hyperlipidemia, and hypertension—all of which are features PR:PROJECT_SUMMARY of metabolic syndrome. NAFLD is a very heterogeneous disease, as it presents in PR:PROJECT_SUMMARY different patterns in males and females and in patients from different PR:PROJECT_SUMMARY ethnicities, with unclear predictors for development and severity of disease. PR:PROJECT_SUMMARY Previous studies have shown that NAFLD is 1.4 times more frequent in Hispanics PR:PROJECT_SUMMARY than in Caucasians. One of the major challenges in NAFLD is the lack of PR:PROJECT_SUMMARY accurate, noninvasive biomarkers for the detection of the most aggressive PR:PROJECT_SUMMARY presentation, NASH. The gold standard for the diagnosis is liver biopsy, which PR:PROJECT_SUMMARY is an invasive procedure associated with possible complications. Noninvasive PR:PROJECT_SUMMARY diagnosis of NASH is a major unmet medical need and there are no PR:PROJECT_SUMMARY ethnicity-specific biomarkers that can diagnose this condition and predict its PR:PROJECT_SUMMARY progression. Therefore, the main gap in knowledge that this proposal and line of PR:PROJECT_SUMMARY research will address is the characterizing the different plasma and liver PR:PROJECT_SUMMARY metabolomics profile of patients with fatty liver from two ethnicities (Latinos PR:PROJECT_SUMMARY vs. Caucasians) and of both sexes. The overall hypothesis of the present study PR:PROJECT_SUMMARY is that the higher incidence of nonalcoholic fatty liver (NAFL) in Latino PR:PROJECT_SUMMARY patients is reflected in a different plasma and liver metabolomics profile PR:PROJECT_SUMMARY compared to Caucasian patients with further sex-related differences. PR:PROJECT_SUMMARY Characterization of metabolite networks can aid in identifying the mechanistic PR:PROJECT_SUMMARY underpinnings of sex and ethnic driven differences in NAFL which could help PR:PROJECT_SUMMARY diagnose and establish a prognosis of this condition, especially in the critical PR:PROJECT_SUMMARY transition from NAFL to the more aggressive nonalcoholic steatohepatitis PR:PROJECT_SUMMARY (NASH).To address this hypothesis, plasma metabolomics profile of samples from PR:PROJECT_SUMMARY male and female Latino and Caucasian bariatric surgery patients with NAFL and PR:PROJECT_SUMMARY from healthy subjects will be compared. Metabolomics findings will be related PR:PROJECT_SUMMARY with liver pathology and liver transcriptome profiles from intraoperatively PR:PROJECT_SUMMARY obtained liver biopsies using correlation, network, and pathway analysis. PR:INSTITUTE University of California, Davis PR:DEPARTMENT Department of Internal Medicine, Division of Gastroenterology and Hepatology PR:LABORATORY Medici Lab PR:LAST_NAME Medici PR:FIRST_NAME Valentina PR:ADDRESS GI and Hepatology Division Academic Office - 4150 V Street - PSSB Suite 3500 - PR:ADDRESS 95817 Sacramento CA PR:EMAIL vmedici@ucdavis.edu PR:PHONE (916) 734 3751 #STUDY ST:STUDY_TITLE Identification of unique metabolite networks between Latino and Caucasian ST:STUDY_TITLE patients with nonalcoholic fatty liver disease (NAFLD) ST:STUDY_TYPE Populations comparison ST:STUDY_SUMMARY Nonalcoholic fatty liver disease (NAFLD) is a spectrum of liver pathology ST:STUDY_SUMMARY ranging from simple steatosis to nonalcoholic steatohepatitis (NASH); the latter ST:STUDY_SUMMARY is characterized by inflammation and fibrosis. Risk factors for NALFD include ST:STUDY_SUMMARY obesity, diabetes, hyperlipidemia, and hypertension—all of which are features ST:STUDY_SUMMARY of metabolic syndrome. NAFLD is a very heterogeneous disease, as it presents in ST:STUDY_SUMMARY different patterns in males and females and in patients from different ST:STUDY_SUMMARY ethnicities, with unclear predictors for development and severity of disease. ST:STUDY_SUMMARY Previous studies have shown that NAFLD is 1.4 times more frequent in Hispanics ST:STUDY_SUMMARY than in Caucasians. One of the major challenges in NAFLD is the lack of ST:STUDY_SUMMARY accurate, noninvasive biomarkers for the detection of the most aggressive ST:STUDY_SUMMARY presentation, NASH. The gold standard for the diagnosis is liver biopsy, which ST:STUDY_SUMMARY is an invasive procedure associated with possible complications. Noninvasive ST:STUDY_SUMMARY diagnosis of NASH is a major unmet medical need and there are no ST:STUDY_SUMMARY ethnicity-specific biomarkers that can diagnose this condition and predict its ST:STUDY_SUMMARY progression. Therefore, the main gap in knowledge that this proposal and line of ST:STUDY_SUMMARY research will address is the characterizing the different plasma and liver ST:STUDY_SUMMARY metabolomics profile of patients with fatty liver from two ethnicities (Latinos ST:STUDY_SUMMARY vs. Caucasians) and of both sexes. The overall hypothesis of the present study ST:STUDY_SUMMARY is that the higher incidence of nonalcoholic fatty liver (NAFL) in Latino ST:STUDY_SUMMARY patients is reflected in a different plasma and liver metabolomics profile ST:STUDY_SUMMARY compared to Caucasian patients with further sex-related differences. ST:STUDY_SUMMARY Characterization of metabolite networks can aid in identifying the mechanistic ST:STUDY_SUMMARY underpinnings of sex and ethnic driven differences in NAFL which could help ST:STUDY_SUMMARY diagnose and establish a prognosis of this condition, especially in the critical ST:STUDY_SUMMARY transition from NAFL to the more aggressive nonalcoholic steatohepatitis ST:STUDY_SUMMARY (NASH).To address this hypothesis, plasma metabolomics profile of samples from ST:STUDY_SUMMARY male and female Latino and Caucasian bariatric surgery patients with NAFL and ST:STUDY_SUMMARY from healthy subjects will be compared. Metabolomics findings will be related ST:STUDY_SUMMARY with liver pathology and liver transcriptome profiles from intraoperatively ST:STUDY_SUMMARY obtained liver biopsies using correlation, network, and pathway analysis. ST:INSTITUTE University of California, Davis ST:DEPARTMENT Genome and Biomedical Sciences Facility ST:LABORATORY WCMC Metabolomics Core ST:LAST_NAME Fiehn ST:FIRST_NAME Oliver ST:ADDRESS 1315 Genome and Biomedical Sciences Facility, 451 Health Sciences Drive, Davis, ST:ADDRESS CA 95616 ST:EMAIL ofiehn@ucdavis.edu ST:PHONE (530) 754-8258 ST:NUM_GROUPS 8 ST:TOTAL_SUBJECTS 40 #SUBJECT SU:SUBJECT_TYPE Human SU:SUBJECT_SPECIES Homo sapiens SU:TAXONOMY_ID 9606 SU:AGE_OR_AGE_RANGE 23-73 SU:GENDER Male and female SU:HUMAN_RACE Hispanic and Caucasian #SUBJECT_SAMPLE_FACTORS: SUBJECT(optional)[tab]SAMPLE[tab]FACTORS(NAME:VALUE pairs separated by |)[tab]Additional sample data SUBJECT_SAMPLE_FACTORS HC117 RB14 A04 Ethnicity:Caucasian | Gender:Male | Group:Healthy Control Age=47; BMI=21 SUBJECT_SAMPLE_FACTORS 175 RB14 A05 Ethnicity:Hispanic | Gender:Female | Group:Healthy Control Age=50; BMI=21.89684164 SUBJECT_SAMPLE_FACTORS 2 RB14 A06 Ethnicity:Hispanic | Gender:Female | Group:Healthy Control Age=47; BMI=28.58766228 SUBJECT_SAMPLE_FACTORS P-0788 RB14 A07 Ethnicity:Caucasian | Gender:Male | Group:NAFLD Age=63; BMI=39.32677469 SUBJECT_SAMPLE_FACTORS 236 RB14 A08 Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Age=26; BMI=23.95185084 SUBJECT_SAMPLE_FACTORS HC128 RB14 A09 Ethnicity:Hispanic | Gender:Female | Group:Healthy Control Age=34; BMI=24.6 SUBJECT_SAMPLE_FACTORS P-3008 RB14 B04 Ethnicity:Hispanic | Gender:Female | Group:NAFLD Age=48; BMI=44.6 SUBJECT_SAMPLE_FACTORS P-3242 RB14 B05 Ethnicity:Hispanic | Gender:Male | Group:NAFLD Age=58; BMI=46.1 SUBJECT_SAMPLE_FACTORS 10 RB14 B07 Ethnicity:Hispanic | Gender:Female | Group:Healthy Control Age=30; BMI=29.83539095 SUBJECT_SAMPLE_FACTORS P-0432 RB14 B08 Ethnicity:Caucasian | Gender:Female | Group:NAFLD Age=73; BMI=33.9 SUBJECT_SAMPLE_FACTORS 204 RB14 C04 Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Age=34; BMI=26.95422715 SUBJECT_SAMPLE_FACTORS HC126 RB14 C05 Ethnicity:Caucasian | Gender:Male | Group:Healthy Control Age=27; BMI=23.5 SUBJECT_SAMPLE_FACTORS K10 RB14 C06 Ethnicity:Caucasian | Gender:Female | Group:Healthy Control Age=52; BMI=23.7953599 SUBJECT_SAMPLE_FACTORS 80 RB14 C07 Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Age=59; BMI=24.50867527 SUBJECT_SAMPLE_FACTORS 110 RB14 C08 Ethnicity:Hispanic | Gender:Female | Group:Healthy Control Age=28; BMI=25.62751948 SUBJECT_SAMPLE_FACTORS P-3011 RB14 D04 Ethnicity:Hispanic | Gender:Male | Group:NAFLD Age=54; BMI=39.7 SUBJECT_SAMPLE_FACTORS P-3266 RB14 D05 Ethnicity:Caucasian | Gender:Male | Group:NAFLD Age=68; BMI=37.9 SUBJECT_SAMPLE_FACTORS P-0320 RB14 D06 Ethnicity:Hispanic | Gender:Female | Group:NAFLD Age=63; BMI=48.6 SUBJECT_SAMPLE_FACTORS P-0185 RB14 D07 Ethnicity:Caucasian | Gender:Female | Group:NAFLD Age=26; BMI=43.8 SUBJECT_SAMPLE_FACTORS P-1006 RB14 D08 Ethnicity:Caucasian | Gender:Female | Group:NAFLD Age=47; BMI=44.7 SUBJECT_SAMPLE_FACTORS M2 RB14 E04 Ethnicity:Caucasian | Gender:Male | Group:Healthy Control Age=45; BMI=30.5 SUBJECT_SAMPLE_FACTORS HC105 RB14 E05 Ethnicity:Caucasian | Gender:Female | Group:Healthy Control Age=45; BMI=25.8 SUBJECT_SAMPLE_FACTORS 316 RB14 E06 Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Age=57; BMI=26.18906449 SUBJECT_SAMPLE_FACTORS HC121 RB14 E07 Ethnicity:Caucasian | Gender:Female | Group:Healthy Control Age=26; BMI=23.5 SUBJECT_SAMPLE_FACTORS HC127 RB14 E08 Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Age=53; BMI=24 SUBJECT_SAMPLE_FACTORS P-0361 RB14 F03 Ethnicity:Caucasian | Gender:Male | Group:NAFLD Age=46; BMI=45.03570678 SUBJECT_SAMPLE_FACTORS P-3227 RB14 F04 Ethnicity:Hispanic | Gender:Male | Group:NAFLD Age=41; BMI=42.4 SUBJECT_SAMPLE_FACTORS P-1010 RB14 F05 Ethnicity:Hispanic | Gender:Female | Group:NAFLD Age=67; BMI=58.7 SUBJECT_SAMPLE_FACTORS 197 RB14 F06 Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Age=24; BMI=28.55917998 SUBJECT_SAMPLE_FACTORS P-3182 RB14 F08 Ethnicity:Caucasian | Gender:Male | Group:NAFLD Age=24; BMI=58.2 SUBJECT_SAMPLE_FACTORS HC122 RB14 G03 Ethnicity:Caucasian | Gender:Male | Group:Healthy Control Age=59; BMI=24.6 SUBJECT_SAMPLE_FACTORS 343 RB14 G04 Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Age=40; BMI=26.49568617 SUBJECT_SAMPLE_FACTORS 389 RB14 G05 Ethnicity:Caucasian | Gender:Female | Group:Healthy Control Age=52; BMI=26.25958475 SUBJECT_SAMPLE_FACTORS P-3194 RB14 G06 Ethnicity:Caucasian | Gender:Female | Group:NAFLD Age=52; BMI=36.7 SUBJECT_SAMPLE_FACTORS 151 RB14 G08 Ethnicity:Hispanic | Gender:Female | Group:Healthy Control Age=59; BMI=22.35484699 SUBJECT_SAMPLE_FACTORS P-0796 RB14 H03 Ethnicity:Hispanic | Gender:Female | Group:NAFLD Age=30; BMI=44.42627219 SUBJECT_SAMPLE_FACTORS P-3043 RB14 H05 Ethnicity:Hispanic | Gender:Female | Group:NAFLD Age=50; BMI=44.4 SUBJECT_SAMPLE_FACTORS 26 RB14 H06 Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Age=66; BMI=28.15362518 SUBJECT_SAMPLE_FACTORS P-2546 RB14 H07 Ethnicity:Hispanic | Gender:Female | Group:NAFLD Age=35; BMI=52.9 SUBJECT_SAMPLE_FACTORS P-3200 RB14 H08 Ethnicity:Hispanic | Gender:Female | Group:NAFLD Age=23; BMI=40.5 #COLLECTION CO:COLLECTION_SUMMARY Blood was collected as a part of a routine/pre-operation check up, not more than CO:COLLECTION_SUMMARY 2 weeks prior to operation day (bariatric surgery) for the NAFLD group and among CO:COLLECTION_SUMMARY normal BMI healthy volunteers for the control group. All volunteers were fasted CO:COLLECTION_SUMMARY 10-12 hours before collection. CO:SAMPLE_TYPE Blood (plasma) CO:COLLECTION_METHOD Venipuncture CO:STORAGE_CONDITIONS -80℃ CO:COLLECTION_VIALS EDTA Vacutainer tubes CO:COLLECTION_TUBE_TEMP Ambient CO:ADDITIVES EDTA #TREATMENT TR:TREATMENT_SUMMARY Subjects were divided into two groups either: Healthy control or Nonalcoholic TR:TREATMENT_SUMMARY fatty liver disease (NAFLD) #SAMPLEPREP SP:SAMPLEPREP_SUMMARY After sample randomization, 50 µl plasma aliquots were enriched with deuterated SP:SAMPLEPREP_SUMMARY surrogates in 10 µL methanol (Table S1 from Agrawal, K., L.A. Hassoun, N. SP:SAMPLEPREP_SUMMARY Foolad, T.L. Pedersen, R.K. Sivamani, J.W. Newman. 2017. Sweat lipid mediator SP:SAMPLEPREP_SUMMARY profiling: a non-invasive approach for cutaneous research. J. Lipid Res. SP:SAMPLEPREP_SUMMARY 58:188–195 [EPub: Nov 7, 2016]. doi: 10.1194/jlr.M071738) and 5 μl of SP:SAMPLEPREP_SUMMARY BHT/EDTA in 1:1 methanol/water (v/v). A total of 200 μl 1-cyclohexyl uredio, SP:SAMPLEPREP_SUMMARY 3-dodecanoic acid / 1-phenyl ureido, 3-hexanoic acid (CUDA / PUHA) in 1:1 SP:SAMPLEPREP_SUMMARY methanol:acetonitrile was added. Protein precipitate and debris were removed by SP:SAMPLEPREP_SUMMARY centrifugation for 10 min at 4,500 RCF. The supernatant was filtered by SP:SAMPLEPREP_SUMMARY centrifugation through 0.2 µm PVDF membranes (Agilent Technologies, Santa SP:SAMPLEPREP_SUMMARY Clara, CA, USA) at 500 RCF for 5 min. SP:SAMPLEPREP_PROTOCOL_FILENAME V_Medici_Plasma_Oxy-EC_analysis_protocol.pdf #CHROMATOGRAPHY CH:CHROMATOGRAPHY_TYPE Reversed phase CH:INSTRUMENT_NAME Waters Acquity CH:COLUMN_NAME Waters Acquity BEH C18 (150 x 2.1mm, 1.7um) CH:FLOW_GRADIENT See protocol/methods file CH:FLOW_RATE 0.25 mL/min CH:COLUMN_TEMPERATURE 60 °C CH:SOLVENT_A 0.1% acetic acid CH:SOLVENT_B 90% ACN / 10% IPA CH:INTERNAL_STANDARD See protocol/methods file CH:RETENTION_TIME See protocol/methods file CH:SAMPLE_INJECTION 5 µL CH:ANALYTICAL_TIME 20 min CH:WEAK_WASH_SOLVENT_NAME 20% methanol, 10% isopropanol CH:WEAK_WASH_VOLUME 600 µL CH:STRONG_WASH_SOLVENT_NAME 50:50 Acetonitrile:Methanol CH:STRONG_WASH_VOLUME 600 µL #ANALYSIS AN:ANALYSIS_TYPE MS #MS MS:INSTRUMENT_NAME ABI Sciex 6500 QTrap MS:INSTRUMENT_TYPE Triple quadrupole MS:MS_TYPE ESI MS:ION_MODE NEGATIVE MS:MS_COMMENTS Concentration (pmol/gram) #MS_METABOLITE_DATA MS_METABOLITE_DATA:UNITS Concentration (pmol/gram) MS_METABOLITE_DATA_START Samples RB14 A06 RB14 B07 RB14 H06 RB14 C07 RB14 C08 RB14 G08 RB14 A05 RB14 F06 RB14 C04 RB14 A08 RB14 E06 RB14 G04 RB14 E05 RB14 A04 RB14 E07 RB14 G03 RB14 C05 RB14 E08 RB14 A09 RB14 C06 RB14 G05 RB14 E04 RB14 D07 RB14 D06 RB14 F03 RB14 B08 RB14 A07 RB14 H03 RB14 D08 RB14 F05 RB14 H07 RB14 B04 RB14 D04 RB14 H05 RB14 F08 RB14 G06 RB14 H08 RB14 F04 RB14 B05 RB14 D05 Factors Ethnicity:Hispanic | Gender:Female | Group:Healthy Control Ethnicity:Hispanic | Gender:Female | Group:Healthy Control Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Ethnicity:Hispanic | Gender:Female | Group:Healthy Control Ethnicity:Hispanic | Gender:Female | Group:Healthy Control Ethnicity:Hispanic | Gender:Female | Group:Healthy Control Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Ethnicity:Caucasian | Gender:Female | Group:Healthy Control Ethnicity:Caucasian | Gender:Male | Group:Healthy Control Ethnicity:Caucasian | Gender:Female | Group:Healthy Control Ethnicity:Caucasian | Gender:Male | Group:Healthy Control Ethnicity:Caucasian | Gender:Male | Group:Healthy Control Ethnicity:Hispanic | Gender:Male | Group:Healthy Control Ethnicity:Hispanic | Gender:Female | Group:Healthy Control Ethnicity:Caucasian | Gender:Female | Group:Healthy Control Ethnicity:Caucasian | Gender:Female | Group:Healthy Control Ethnicity:Caucasian | Gender:Male | Group:Healthy Control Ethnicity:Caucasian | Gender:Female | Group:NAFLD Ethnicity:Hispanic | Gender:Female | Group:NAFLD Ethnicity:Caucasian | Gender:Male | Group:NAFLD Ethnicity:Caucasian | Gender:Female | Group:NAFLD Ethnicity:Caucasian | Gender:Male | Group:NAFLD Ethnicity:Hispanic | Gender:Female | Group:NAFLD Ethnicity:Caucasian | Gender:Female | Group:NAFLD Ethnicity:Hispanic | Gender:Female | Group:NAFLD Ethnicity:Hispanic | Gender:Female | Group:NAFLD Ethnicity:Hispanic | Gender:Female | Group:NAFLD Ethnicity:Hispanic | Gender:Male | Group:NAFLD Ethnicity:Hispanic | Gender:Female | Group:NAFLD Ethnicity:Caucasian | Gender:Male | Group:NAFLD Ethnicity:Caucasian | Gender:Female | Group:NAFLD Ethnicity:Hispanic | Gender:Female | Group:NAFLD Ethnicity:Hispanic | Gender:Male | Group:NAFLD Ethnicity:Hispanic | Gender:Male | Group:NAFLD Ethnicity:Caucasian | Gender:Male | Group:NAFLD TXB2 0.393 0.295 0.218 0.251 0.33 0.351 0.305 0.261 0.339 0.219 0.396 0.391 0.298 0.283 0.338 0.344 0.462 0.394 0.52 76.3 0.3 81.1 0.375 0.377 7.63 0.358 0.275 0.848 0.394 1.88 0.266 0.38 0.465 0.402 0.775 1.84 0.385 0.403 0.72 0.647 PGE1 0.00819 0.00143 0.0242 0.00386 0.00575 0.00351 0.0157 0.0175 0.00278 0.0473 0.0156 0.0123 0.00937 0.00108 0.0787 0.00759 0.035 0.00711 0.00922 0.026 0.0106 0.000546 PGE2 0.0508 0.0528 0.0555 0.0334 0.0655 0.0623 0.119 0.0453 0.046 0.0736 0.0521 0.114 0.0444 0.0807 0.0484 0.0736 0.0651 0.0311 1.17 1.2 1.28 0.124 0.0318 0.112 0.124 0.0521 0.197 0.13 0.086 0.0428 0.0452 0.0737 0.0902 0.133 0.108 0.104 0.074 0.0972 PGF2a 1.36 2.73 3.18 1.58 3.91 10.6 4.7 0.931 5.01 0.205 2.47 0.309 1.21 6.31 0.351 5.61 5.46 6.49 4.33 18.6 0.943 0.329 1.27 1.81 5.55 3.51 0.358 1.19 0.968 0.592 2.28 0.215 2.06 4.26 11.4 6.12 F2 IsoP 1.64 2.16 0.63 0.89 0.02 2.6 0.49 1.409 1.38 1.605 0.5 2.241 1.61 1.02 1.42 0.799 3.47 0.97 2.87 0.06 2.33 0.407 1.531 2.02 1.74 2.33 5.11 1.332 1.84 1.282 0.578 1.29 1.985 0.56 2.01 0.993 1.24 6.1 1.95 15-Keto PGE2 1.31 0.362 0.683 0.624 0.702 0.519 0.259 0.694 0.413 0.302 0.397 0.168 0.719 0.218 0.625 0.537 0.633 0.743 0.693 0.438 0.959 0.572 0.733 0.204 0.749 0.545 0.514 1.08 0.261 0.298 0.979 0.523 PGF2a EA 0.0791 0.0684 0.0225 0.0398 0.073 0.128 0.0313 0.0186 0.0562 0.0969 0.00619 0.139 0.0211 0.146 0.314 0.0535 0.141 0.224 0.0685 0.0607 0.0531 Sum-TriHOME 0.553 0.407 0.609 0.272 0.287 0.028 0.239 0.515 0.596 0.164 0.51 10.8 9.31 4.24 2.62 3.91 2.86 3.88 2.92 2.36 1.17 2.79 7.8 6.11 4.96 7.15 4.21 3.44 3.1 2.83 9.16 13.6 13.7 6.58 3.39 12.1 2.1 3.1 4.89 3.82 Resolvin E1 0.00538 0.00589 0.0137 0.00539 0.0207 0.00325 0.0291 0.0144 0.00147 0.0104 0.00534 0.00843 0.0117 0.00589 0.00814 0.0481 0.0177 0.0085 0.00773 0.00655 0.0253 0.0046 0.00767 0.00534 0.00338 0.00546 0.00781 0.00561 0.00389 0.00899 0.00959 0.00427 0.0094 0.00127 0.00613 0.00812 0.0199 0.0146 5_15-DiHETE 0.00949 0.00219 0.0475 0.0299 0.136 0.105 0.0653 0.0926 0.0485 0.0477 0.0186 0.0592 0.0483 0.0523 0.0965 0.102 0.00421 0.233 0.0632 0.00456 0.0988 0.0071 0.0131 0.00295 0.0667 0.149 9_10-e-DiHO 0.893 1.58 1.02 1.78 1.06 1.12 1.79 0.829 2.09 2.63 2.86 0.921 23.8 0.947 2.18 1.77 1.72 2.43 3.68 34.5 2.31 23.7 5.79 2.14 3.69 4.57 7.6 5.91 1.33 2.72 2.93 4.53 3.92 9.12 4.64 4.77 2.74 1.91 2.71 0.996 12_13-DiHOME 1.03 1.97 0.964 2.07 2.18 1.56 2.98 1.33 5.25 2.49 1.92 5.38 1.94 1.93 1.37 2.12 1.48 1.59 3.2 3.1 3.34 2.58 4.75 2.29 2.33 9.42 12.7 5.26 1.4 2.97 2.21 6.65 7.76 31.4 4.02 2.61 3.47 3.16 1.27 1.42 9_10-DiHOME 3 1.64 0.905 2.29 2.34 2.04 4.54 1.17 6.12 2.5 1.97 4.32 1.48 1.91 1.27 2.35 1.87 1.67 3.02 1.23 3.85 0.577 7.99 2.28 1.89 9.59 13.3 3.01 1.23 2.31 1.97 4.64 9.56 56.7 3.61 2.69 2.81 3.67 1.36 0.857 15_16-DiHODE 3.07 5.72 3.03 10 10.1 5.4 16.5 16.9 17.4 10.1 5.65 14.5 3.45 6.28 2.59 6.66 4.87 6.41 10.9 3.35 8.49 13.1 14.5 7.96 6.85 28.1 26 6.97 4.28 4.45 7.17 13.6 29.3 50 9.13 5.45 8.91 5.8 1.86 14.4 12_13-DiHODE 0.0617 0.0584 0.136 0.0921 0.145 0.0896 0.242 0.183 0.0413 0.201 0.0503 0.0874 0.117 0.0149 0.21 0.172 0.146 0.511 0.0624 0.101 0.646 0.566 0.291 0.0422 0.0637 0.174 0.599 0.439 0.909 0.186 0.0577 0.208 0.304 0.00143 9_10-DiHODE 0.117 0.0302 0.0609 0.179 0.112 0.146 0.102 0.458 0.179 0.0532 0.17 0.0814 0.0761 0.0479 0.221 0.0672 0.0594 0.252 0.0288 0.203 0.0582 1.08 0.133 0.147 0.71 1.47 0.323 0.0892 0.0766 0.0832 0.308 0.518 3.84 0.207 0.145 0.141 0.475 0.0985 0.0585 14_15-DiHETrE 0.372 0.513 0.618 0.846 0.679 0.559 0.742 0.631 0.506 0.481 0.786 1.18 0.86 0.395 0.511 0.469 0.743 0.71 0.875 0.264 0.509 0.383 1.06 0.685 1.07 0.936 0.765 0.966 0.441 0.602 0.629 0.85 0.729 0.583 1.01 1.2 0.649 0.634 0.611 0.687 11_12-DiHETrE 0.361 0.367 0.464 0.645 0.467 0.46 0.586 0.37 0.592 0.328 0.799 0.745 0.739 0.393 0.415 0.463 0.527 0.676 0.593 0.173 0.503 0.245 0.752 0.324 0.621 0.691 0.63 0.991 0.241 0.383 0.383 0.635 0.57 0.399 0.747 0.897 0.505 0.503 0.737 0.141 8_9-DiHETrE 0.301 0.261 0.313 0.449 0.352 0.268 0.325 0.551 0.421 0.234 0.553 0.555 0.572 0.322 0.314 0.157 0.416 0.202 0.429 0.324 0.277 0.345 0.544 0.197 0.534 0.454 0.479 0.788 0.225 0.15 0.442 0.345 0.3 0.352 0.23 0.615 0.19 0.493 0.393 0.571 5_6-DiHETrE 0.129 0.303 0.131 0.558 0.165 0.265 0.236 0.382 0.295 0.155 0.284 0.483 0.327 0.0272 0.357 0.261 0.407 0.394 0.279 0.513 0.328 0.317 0.327 0.214 2.81 0.377 0.475 0.505 0.232 0.267 0.327 0.316 0.223 0.206 0.285 0.555 0.195 0.548 0.409 0.256 17_18-DiHETE 0.507 4.24 3.8 3.65 2.81 8.26 3.32 4.97 4.28 1.24 2.8 8.5 6.35 3.31 1.33 3.06 3.99 7.67 12.2 1.88 12.5 6.8 3.12 2.41 17.2 4.6 13.3 3.87 1.6 2.07 2.94 3.67 4.86 3.52 3.21 5.93 1.08 3.73 3.73 5.33 14_15-DiHETE 0.346 0.477 0.799 0.757 0.806 0.496 0.581 0.246 0.392 0.367 0.86 1.12 0.938 0.295 0.766 0.718 0.0248 1.02 0.553 0.785 0.537 0.38 0.155 2.62 0.664 2.27 0.93 0.256 0.263 0.385 0.643 0.552 0.615 0.783 0.595 0.353 0.952 0.602 0.558 19_20-DiHDoPA 0.805 0.609 1.39 1.33 1.22 1.91 1.5 0.738 1.06 1.08 1.53 2.41 2.11 0.788 0.78 0.527 1.14 2.32 4.77 0.514 2.01 0.604 1.37 0.634 0.866 2.27 1.13 1.09 0.537 0.698 0.76 0.543 1.02 0.866 0.737 3.87 0.499 1.2 1.42 0.959 13-HODE 8.15 7.34 6.69 16.9 11.1 9.58 15.9 12.2 11.1 9.13 11.5 6.94 8.13 7.56 6.52 7.55 7.15 9.41 18.4 22.7 14.4 18.3 15 18.7 18.9 34.2 30.7 18.3 9.24 19.5 12.6 25.2 34.4 155 19.6 13 16.3 12.7 11 7.13 9-HODE 5.81 5.41 4.32 8.25 6.68 5.27 6.62 3.63 6.33 4.97 7.63 7.91 3.44 5.38 4.59 3.66 4.24 5.21 10.8 11.1 7.19 8.42 10.7 8.79 11.7 19.9 15.9 9.47 5.55 12.6 8.52 21.5 19.3 68.1 12.8 10.7 7.83 8.86 5.84 4.83 13-HOTE 0.885 0.864 1.57 1.65 1.79 1.57 0.931 3.09 2.2 1.19 1.26 1.01 1.23 1.07 1.02 1.02 0.696 1.27 1.95 1.7 1.78 1.87 1.79 1.42 1.18 3.64 2.78 2.43 0.878 1.48 1.51 2.09 2.9 5.93 1.77 1.81 1.13 0.959 1.45 1.18 9-HOTE 0.0834 0.294 0.202 0.36 0.465 0.25 0.295 0.327 0.27 0.244 0.345 0.433 0.173 0.283 0.162 0.2 0.267 0.255 0.646 0.222 0.459 0.36 0.387 0.489 0.622 0.837 0.998 0.644 0.168 0.394 0.426 1.3 0.966 2.41 0.391 0.381 0.336 0.524 0.156 0.162 15-HETE 0.35 0.39 0.483 0.981 0.634 0.523 0.278 0.114 0.477 0.0951 0.6 0.527 0.179 0.578 0.0214 0.66 0.856 0.428 0.988 11.2 0.477 12.6 1.58 0.624 4.62 1.16 2.08 1.85 0.646 0.909 0.401 0.745 1.39 1.44 2.13 0.681 1.03 0.77 1.34 0.537 12-HETE 0.00959 0.261 0.145 0.373 0.209 0.3 0.282 0.538 0.354 0.305 0.319 0.184 0.216 0.631 0.586 0.433 0.735 813 0.68 590 1.08 0.683 35.8 0.796 6.7 0.46 0.53 0.404 0.304 0.878 0.28 0.978 1.71 1.6 0.938 1.19 0.716 1.34 9-HETE 0.0835 0.143 0.0851 0.0247 0.111 0.0718 0.207 0.185 0.133 0.0215 0.0857 0.0506 0.506 0.0724 0.553 0.156 0.0929 0.429 0.0676 1.6 0.228 0.236 0.117 0.202 0.0953 0.328 0.61 0.0727 0.188 0.222 0.0637 0.216 0.163 5-HETE 0.55 0.464 0.451 0.186 0.313 0.803 0.796 0.107 0.535 0.461 0.918 0.246 0.687 0.282 0.411 0.532 0.658 0.695 1.41 3.62 0.7 1.66 2.15 0.92 6.67 2.57 1.29 2.17 0.765 1.91 0.856 0.835 1.21 1.51 2.36 1.7 1.52 0.911 1.35 0.166 9-HEPE 0.00882 0.016 0.165 0.0594 0.0174 0.0755 0.148 0.0211 0.0798 0.11 0.137 0.0472 0.145 0.245 0.253 0.0506 0.162 0.232 0.666 0.00594 0.127 0.0531 0.231 0.275 0.135 0.0363 0.0911 5-HEPE 0.201 0.197 0.328 0.275 0.163 0.856 0.16 0.251 0.0437 0.116 0.0751 0.12 0.147 0.037 0.306 0.0315 0.378 0.755 0.162 0.155 0.193 0.0435 0.389 0.726 0.586 0.7 0.208 0.238 0.513 0.298 0.212 0.297 0.557 0.245 0.398 0.0376 0.208 0.619 0.214 17-HDoHE 0.594 1.21 0.614 1.73 0.554 1.21 1.06 1.47 0.988 0.298 0.896 0.494 0.98 0.257 0.348 1.14 0.934 0.882 0.982 5.51 1.79 7.15 0.537 5.14 0.801 1.01 3.45 0.281 1.03 1.51 0.494 0.351 0.789 1.34 1.26 0.16 1.14 0.791 1.14 4-HDoHE 0.293 0.0166 0.224 0.496 0.118 0.194 0.177 0.0819 0.456 0.00501 0.426 0.0627 0.0841 0.194 0.163 0.41 0.0702 0.424 0.263 3.36 0.478 0.187 1.27 0.267 0.282 0.00438 0.191 0.021 0.216 0.219 0.143 12(13)-EpOME 0.907 1.41 0.808 0.975 1.43 1.05 0.799 1.2 3.75 0.698 1.29 1.98 0.931 1.27 1.72 2.31 0.888 0.402 1.5 0.973 2.67 2.08 3.08 0.606 1.06 5.96 10.3 7.02 0.589 2.13 1.19 5.85 9.38 22.6 1.66 1.11 1.81 2.87 1.43 1.4 9(10)-EpOME 0.936 0.831 0.47 0.726 0.565 0.506 0.56 0.27 0.547 0.404 0.982 0.363 0.251 0.439 0.552 0.755 0.237 0.607 1.04 0.19 0.595 0.332 1.81 0.644 1.73 2.03 2.22 1.41 0.435 1.2 0.828 1.89 2.33 7.07 1.15 1.43 0.964 1.13 0.861 0.379 15(16)-EpODE 0.833 1.36 0.816 2.7 3.2 2.17 2.32 6.14 2.72 1.41 1.75 2.06 1.81 1.52 1.54 2.89 1.43 2.31 2.33 1.36 1.85 8.63 4.78 1.71 1.84 7.88 8.09 2.73 1.6 1.17 1.64 6.93 19.3 30.3 3.3 2.95 1.54 4.72 2.01 1.64 12(13)-EpODE 0.0247 0.0807 0.0928 0.0573 0.0522 0.00269 0.0229 0.0931 0.0919 0.149 0.139 0.0626 0.0229 0.242 0.0401 0.0213 0.105 0.0271 0.079 0.028 0.0632 0.0885 0.254 0.691 0.184 0.219 0.108 0.403 0.944 0.357 0.0206 0.197 0.0453 0.414 0.223 0.0172 9(10)-EpODE 0.00464 0.243 0.126 0.332 0.405 0.234 0.229 0.551 0.446 0.409 0.552 0.423 0.277 0.486 0.129 0.584 0.302 0.212 0.504 0.107 0.249 0.0585 0.679 0.896 0.933 0.7 0.697 0.878 0.221 0.393 0.252 0.572 0.561 1.91 0.534 0.593 0.47 0.448 0.632 0.247 14(15)-EpETrE 0.0191 0.0175 0.152 0.0969 0.854 0.439 0.0132 11(12)-EpETrE 0.00177 0.00585 0.00741 0.0893 0.0402 0.00887 0.936 0.014 0.0292 0.436 0.0168 0.0279 0.016 0.0868 0.0554 8(9)-EpETrE 0.159 0.181 0.326 0.336 0.131 0.189 0.488 0.0134 0.92 0.233 2.18 0.226 0.354 0.366 17(18)-EpETE 1.08 0.837 0.778 1.63 1.27 0.869 0.928 1.85 1.33 0.937 1.36 0.816 0.285 1.44 0.882 1.71 1.61 1.32 1.19 0.538 0.663 1.22 0.304 2.63 1.03 0.677 6.47 0.623 1.07 1.37 0.37 0.729 1.09 1.1 0.0329 0.94 1.99 1.03 11(12)-EpETE 0.0258 0.0428 0.0619 0.0165 0.0678 0.064 0.0455 0.0326 0.183 0.00221 0.111 0.0354 0.111 0.0335 0.027 0.044 0.0185 0.0655 0.0712 0.0636 0.198 0.138 0.0328 0.0614 0.0568 0.0218 0.0703 0.00516 0.0485 0.0135 19(20)-EpDPE 0.636 0.388 0.141 0.633 0.0248 0.00327 0.104 0.137 0.246 0.0754 0.696 0.185 1.16 0.283 0.154 0.269 0.684 0.291 12(13)-Ep-9-KODE 2.68 2.04 0.228 1.62 4.27 1.53 7.11 1.51 2.62 2.35 0.95 5.79 0.929 1.17 1.23 0.901 1.27 0.289 1.78 0.399 1.34 0.745 4.47 1.23 2.21 1.04 1.12 2.93 0.44 5.89 1.11 0.484 1.65 1.27 0.685 0.814 2.04 0.977 2.06 1.39 13-KODE 1.08 0.739 2.08 1.84 1.6 0.653 1.11 2.03 1.75 1.67 0.371 1.12 3.29 0.775 1.11 1.67 2.36 1.16 1.72 1.96 2.43 1.99 2.07 2.63 4.6 2.2 2.53 2.91 1.53 2.12 1.38 1.56 3.46 2.69 1.28 1.93 2.01 1.55 0.929 1.32 9-KODE 2.58 1.13 2.39 2.71 0.563 1.98 1.69 2.82 2.01 1.55 0.875 2.5 2.97 2.66 2.12 3.1 4.06 2.29 3.29 3.26 3.06 5.19 3.22 2.56 8.25 3.01 4.36 6.12 2.76 2.15 1.64 2.49 3.96 5.83 3.26 4.48 1.61 3.7 1.9 2.75 5-KETE 0.0128 0.149 0.269 0.241 0.0617 0.106 0.0817 0.16 0.0843 0.0517 0.14 0.208 0.0661 0.00371 0.0845 0.296 0.0659 0.0777 0.0472 2.89 0.308 0.548 0.0556 0.237 0.192 0.122 0.0606 0.272 0.0513 0.11 0.137 0.034 10-Nitrooleate 6.19 2.45 3.36 17.1 2.75 3.57 6.5 5.62 5.28 2.54 1.78 3.88 4.89 4.73 5.66 3.62 8.11 3.32 3.67 3.46 6.36 2.94 2.29 4.16 6.25 4.7 4.51 7.57 2.02 2.45 2.81 1.5 2.79 0.495 1.26 2.07 3.45 2.08 4.56 1.81 9-Nitrooleate 0.11 0.266 0.42 0.142 0.214 0.477 1.24 0.232 0.527 0.601 0.169 1.12 0.116 0.0418 0.388 0.00855 0.386 0.0548 0.873 0.0989 4.05 0.177 0.0205 0.435 0.309 0.0744 0.299 0.0386 0.39 0.59 0.203 MS_METABOLITE_DATA_END #METABOLITES METABOLITES_START metabolite_name retention index quantified m/z PubChem ID KEGG ID Parent Lipid Class HMDB ID InChIKey TXB2 5283137 C20:4n6 TX HMDB03252 XNRNNGPBEPRNAR-JQBLCGNGSA-N PGE1 5280723 C04741 C20:3n6 PG HMDB01442 GMVPRGQOIOIIMI-DWKJAMRDSA-N PGE2 5280360 C00584 C20:4n6 PG HMDB01220 XEYBRNLFEZDVAW-ARSRFYASSA-N PGF2a 5283078 C20:4n6 PG HMDB01139 PXGPLTODNUVGFL-UAAPODJFSA-N F2 IsoP C20:4n6 PG 15-Keto PGE2 5280719 C20:4n6 PG HMDB03175 YRTJDWROBKPZNV-KMXMBPPJSA-N PGF2a EA 53481911 PGF2a Ethanolamide HMDB13628 XCVCLIRZZCGEMU-FPLRWIMGSA-N Resolvin E1 25063347 C20:5n3 Triol HMDB10410 AOPOCGPBAIARAV-WEKRNNBPSA-N 5_15-DiHETE 5283158 C20:4n6 Diol HMDB10216 UXGXCGPWGSUMNI-BVHTXILBSA-N 9_10-DiHODE 16061066 C18:3n3 Diol HMDB10221 QRHSEDZBZMZPOA-ZJSQCTGTSA-N 12_13-DiHOME 10236635 C14829 C18:2n6 Diol HMDB04705 CQSLTKIXAJTQGA-FLIBITNWSA-N 9_10-e-DiHO 441460 C18:1n9 Diol VACHUYIREGFMSP-SJORKVTESA-N 15_16-DiHODE 16061068 C18:3n3 Diol HMDB10208 LKLLJYJTYPVCID-OHPMOLHNSA-N 12_13-DiHODE 16061067 C18:3n3 Diol HMDB10201 RGRKFKRAFZJQMS-OOHFSOINSA-N 9_10-DiHOME 9966640 C14828 C18:2n6 Diol HMDB04704 XEBKSQSGNGRGDW-YFHOEESVSA-N 14_15-DiHETrE 5283147 C14775 C20:4n6 Diol HMDB02265 SYAWGTIVOGUZMM-ILYOTBPNSA-N 11_12-DiHETrE 5283146 C14774 C20:4n6 Diol HMDB02314 LRPPQRCHCPFBPE-KROJNAHFSA-N 8_9-DiHETrE 5283144 C14773 C20:4n6 Diol HMDB02311 DCJBINATHQHPKO-TYAUOURKSA-N 5_6-DiHETrE 5283142 C14772 C20:4n6 Diol HMDB02343 GFNYAPAJUNPMGH-QNEBEIHSSA-N 17_18-DiHETE 16061120 C20:5n3 Diol HMDB10211 XYDVGNAQQFWZEF-JPURVOHMSA-N 14_15-DiHETE 16061119 C20:5n3 Diol HMDB10204 BLWCDFIELVFRJY-QXBXTPPVSA-N 19_20-DiHDoPA 16061148 C22:6n3 Diol HMDB10214 FFXKPSNQCPNORO-MBYQGORISA-N 13-HODE 6443013 C14762 C18:2n6 R-OH HMDB04667 HNICUWMFWZBIFP-IRQZEAMPSA-N 9-HODE 5282945 C18:2n6 R-OH HMDB10223 NPDSHTNEKLQQIJ-SIGMCMEVSA-N 13-HOTE 10469728 C18:3n3 R-OH HMDB10203 KLLGGGQNRTVBSU-JDTPQGGVSA-N 9-HOTE 53480359 C18:3n3 R-OH HMDB10224 YUPHIKSLGBATJK-OBKPXJAFSA-N 15-HETE 5280724 C04742 C20:4n6 R-OH HMDB03876 JSFATNQSLKRBCI-VAEKSGALSA-N 12-HETE 5312983 C20:4n6 R-OH HMDB06111 ZNHVWPKMFKADKW-FYMOKONMSA-N 9-HETE 5312978 C20:4n6 R-OH HMDB10222 KATOYYZUTNAWSA-DLJQHUEDSA-N 5-HETE 5280733 C04805 C20:4n6 R-OH HMDB11134 KGIJOOYOSFUGPC-JGKLHWIESA-N 9-HEPE 5283187 C20:5n3 R-OH HMDB60053 OXOPDAZWPWFJEW-FPRWAWDYSA-N 5-HEPE 6439678 C20:5n3 R-OH HMDB05081 FTAGQROYQYQRHF-FCWZHQICSA-N 17-HDoHE 6439179 C22:6n3 R-OH HMDB10213 SWTYBBUBEPPYCX-VIIQGJSXSA-N 4-HDoHE 53394255 C22:6n3 R-OH HMDB60049 IFRKCNPQVIJFAQ-JGDWKEERSA-N Sum-TriHOME 9858729 C14833 C18:2n6 Triol HMDB04708 MDIUMSLCYIJBQC-MVFSOIOZSA-N 12(13)-EpOME 5356421 C18:2n6 Epox HMDB04702 CCPPLLJZDQAOHD-FLIBITNWSA-N 9(10)-EpOME 5283018 C18:2n6 Epox FBUKMFOXMZRGRB-JXMROGBWSA-N 15(16)-EpODE 16061062 C18:3n3 Epox HMDB10206 HKSDVVJONLXYKL-OHPMOLHNSA-N 12(13)-EpODE 16061061 C18:3n3 Epox HMDB10200 BKKGUKSHPCTUGE-OOHFSOINSA-N 9(10)-EpODE 16061060 C18:3n3 Epox HMDB10220 JTEGNNHWOIJBJZ-ZJSQCTGTSA-N 14(15)-EpETrE 11954058 C14813 C20:4n6 Epox HMDB04693 WLMZMBKVRPUYIG-LTCHCNGXSA-N 11(12)-EpETrE 53480479 C20:4n6 Epox HMDB10409 DXOYQVHGIODESM-IQCOFVSKSA-N 8(9)-EpETrE 5283203 C14769 C20:4n6 Epox HMDB02232 DBWQSCSXHFNTMO-TYAUOURKSA-N 17(18)-EpETE 16061089 C20:5n3 Epox HMDB10212 GPQVVJQEBXAKBJ-JPURVOHMSA-N 11(12)-EpETE 16061087 C20:5n3 Epox QHOKDYBJJBDJGY-BVILWSOJSA-N 19(20)-EpDPE 11631565 C22:6n3 Epox HMDB13620 OSXOPUBJJDUAOJ-MBYQGORISA-N 12(13)-Ep-9-KODE 5283007 C18:2n6 Epox,R=O HMDB13623 RCMABBHQYMBYKV-BUHFOSPRSA-N 13-KODE 6446027 C14765 C18:2n6 R=O HMDB04668 JHXAZBBVQSRKJR-BSZOFBHHSA-N 9-KODE 9839084 C14766 C18:2n6 R=O HMDB04669 LUZSWWYKKLTDHU-ZJHFMPGASA-N 5-KETE 5283159 C14732 C20:4n6 R=O HMDB10217 MEASLHGILYBXFO-XTDASVJISA-N 10-Nitrooleate 53394576 C18:1n9 Nitrolipid WRADPCFZZWXOTI-UHFFFAOYSA-N 9-Nitrooleate 53412232 C18:1n9 Nitrolipid CQOAKBVRRVHWKV-UHFFFAOYSA-M METABOLITES_END #END