#METABOLOMICS WORKBENCH kk1109_20250910_122317 DATATRACK_ID:6415 STUDY_ID:ST004201 ANALYSIS_ID:AN006987 PROJECT_ID:PR002649 VERSION 1 CREATED_ON September 18, 2025, 9:38 am #PROJECT PR:PROJECT_TITLE In vivo exposure of mixed microplastic particles in mice and its impacts on the PR:PROJECT_TITLE murine gut microbiome and metabolome PR:PROJECT_TYPE MS quantitative analysis PR:PROJECT_SUMMARY Microplastics (MPs) are emerging environmental contaminants due to increasing PR:PROJECT_SUMMARY global plastic production and waste. Microplastics, defined as plastic particles PR:PROJECT_SUMMARY less than 5 mm in diameter, are formed through degradation of larger plastics PR:PROJECT_SUMMARY via sunlight, weathering, and microbes. These plastic compounds are widely PR:PROJECT_SUMMARY detected in water, soil, food, as well as human stool and blood. The gut PR:PROJECT_SUMMARY microbiome, often referred to as our second genome, is important in human health PR:PROJECT_SUMMARY and is the primary point of contact for orally ingested microplastics. To PR:PROJECT_SUMMARY investigate the impact of ingested MPs on the gut microbiome and the metabolome, PR:PROJECT_SUMMARY 8-week-old male and female C57/BL6 mice were orally gavaged mixed plastic (5 PR:PROJECT_SUMMARY µm) exposure consisting of polystyrene, polyethylene, and the PR:PROJECT_SUMMARY biodegradable/biocompatible plastic, poly(lactic-co-glycolic acid), twice a week PR:PROJECT_SUMMARY for 4 weeks at 0, 2, or 4 mg/week (n = 8/group). Fecal pellets were collected PR:PROJECT_SUMMARY for bacterial DNA extraction and metagenomic shotgun sequencing, and serum was PR:PROJECT_SUMMARY subjected to targeted and untargeted metabolomics. A total of 1162 bacterial PR:PROJECT_SUMMARY species and 1205 metabolites were evaluated for downstream analysis. MPs PR:PROJECT_SUMMARY exposure resulted in significant sex-specific and dose-dependent changes to the PR:PROJECT_SUMMARY gut microbiome composition along with substantial regulation of predicted PR:PROJECT_SUMMARY metabolic pathways. Untargeted metabolomics in serum showed that a low MPs dose PR:PROJECT_SUMMARY displayed a more prominent effect on key metabolic pathways such as amino acid PR:PROJECT_SUMMARY metabolism, mitochondrial function, and inflammation. Additionally, PR:PROJECT_SUMMARY SCFA-targeted metabolomics showed significant changes in neuroprotective SCFAs PR:PROJECT_SUMMARY levels in both sexes. Our study demonstrates that microplastics dysregulate the PR:PROJECT_SUMMARY gut microbiome and serum metabolome, highlighting potential human disease risks. PR:INSTITUTE University of Washington PR:DEPARTMENT Environmental and Occupational Health Science PR:LABORATORY Cui Lab PR:LAST_NAME Kim PR:FIRST_NAME Kyle PR:ADDRESS 3150 Stephanie Loop Northeast PR:EMAIL kk1109@uw.edu PR:PHONE 3606883268 #STUDY ST:STUDY_TITLE SCFA quantification of blood serum in microplastic exposed mice - Targeted GC/MS ST:STUDY_TYPE in vivo ST:STUDY_SUMMARY To investigate the impact of ingested MPs on the gut microbiome and the ST:STUDY_SUMMARY metabolome, 8-week-old male and female C57/BL6 mice were orally gavaged mixed ST:STUDY_SUMMARY plastic (5 µm) exposure consisting of polystyrene, polyethylene, and the ST:STUDY_SUMMARY biodegradable/biocompatible plastic, poly(lactic-co-glycolic acid), twice a week ST:STUDY_SUMMARY for 4 weeks at 0, 2, or 4 mg/week (n = 8/group). Fecal pellets were collected ST:STUDY_SUMMARY for bacterial DNA extraction and metagenomic shotgun sequencing, and serum was ST:STUDY_SUMMARY subjected to targeted and untargeted metabolomics. A total of 1162 bacterial ST:STUDY_SUMMARY species and 1205 metabolites were evaluated for downstream analysis. MPs ST:STUDY_SUMMARY exposure resulted in significant sex-specific and dose-dependent changes to the ST:STUDY_SUMMARY gut microbiome composition along with substantial regulation of predicted ST:STUDY_SUMMARY metabolic pathways. Untargeted metabolomics in serum showed that a low MPs dose ST:STUDY_SUMMARY displayed a more prominent effect on key metabolic pathways such as amino acid ST:STUDY_SUMMARY metabolism, mitochondrial function, and inflammation. Additionally, ST:STUDY_SUMMARY SCFA-targeted metabolomics showed significant changes in neuroprotective SCFAs ST:STUDY_SUMMARY levels in both sexes. Our study demonstrates that microplastics dysregulate the ST:STUDY_SUMMARY gut microbiome and serum metabolome, highlighting potential human disease risks. ST:INSTITUTE University of Washington ST:DEPARTMENT Environmental and Occupational Health Science ST:LABORATORY Cui Lab ST:LAST_NAME Kim ST:FIRST_NAME Kyle ST:ADDRESS 3150 Stephanie Loop Northeast ST:EMAIL kk1109@uw.edu ST:PHONE 3606883268 ST:NUM_GROUPS 6 ST:TOTAL_SUBJECTS 24 ST:NUM_MALES 12 ST:NUM_FEMALES 12 #SUBJECT SU:SUBJECT_TYPE Mammal SU:SUBJECT_SPECIES Mus musculus SU:TAXONOMY_ID 10090 SU:AGE_OR_AGE_RANGE 8-12 weeks SU:GENDER Male and female SU:ANIMAL_ANIMAL_SUPPLIER Taconic Biosciences SU:ANIMAL_HOUSING Temperature (20–24°C) and humidity (30%–60%) SU:ANIMAL_LIGHT_CYCLE 12-h light/dark cycle SU:ANIMAL_FEED ad libitum SU:ANIMAL_WATER ad libitum SU:SPECIES_GROUP C57BL/6 #SUBJECT_SAMPLE_FACTORS: SUBJECT(optional)[tab]SAMPLE[tab]FACTORS(NAME:VALUE pairs separated by |)[tab]Raw file names and additional sample data SUBJECT_SAMPLE_FACTORS - STD_1 Sample source:Serum | Sex:NA | Treatment:NA RAW_FILE_NAME(Raw file name)=STD_1.D SUBJECT_SAMPLE_FACTORS - STD_2 Sample source:Serum | Sex:NA | Treatment:NA RAW_FILE_NAME(Raw file name)=STD_2.D SUBJECT_SAMPLE_FACTORS - STD_3 Sample source:Serum | Sex:NA | Treatment:NA RAW_FILE_NAME(Raw file name)=STD_3.D SUBJECT_SAMPLE_FACTORS - STD_4 Sample source:Serum | Sex:NA | Treatment:NA RAW_FILE_NAME(Raw file name)=STD_4.D SUBJECT_SAMPLE_FACTORS - STD_5 Sample source:Serum | Sex:NA | Treatment:NA RAW_FILE_NAME(Raw file name)=STD_5.D SUBJECT_SAMPLE_FACTORS - STD_6 Sample source:Serum | Sex:NA | Treatment:NA RAW_FILE_NAME(Raw file name)=STD_6.D SUBJECT_SAMPLE_FACTORS - STD_7 Sample source:Serum | Sex:NA | Treatment:NA RAW_FILE_NAME(Raw file name)=STD_7.D SUBJECT_SAMPLE_FACTORS - STD_8 Sample source:Serum | Sex:NA | Treatment:NA RAW_FILE_NAME(Raw file name)=STD_8.D SUBJECT_SAMPLE_FACTORS - STD_9 Sample source:Serum | Sex:NA | Treatment:NA RAW_FILE_NAME(Raw file name)=STD_9.D SUBJECT_SAMPLE_FACTORS - STD_10 Sample source:Serum | Sex:NA | Treatment:NA RAW_FILE_NAME(Raw file name)=STD_10.D SUBJECT_SAMPLE_FACTORS - STD_11 Sample source:Serum | Sex:NA | Treatment:NA RAW_FILE_NAME(Raw file name)=STD_11.D SUBJECT_SAMPLE_FACTORS - Serum_QC_1 Sample source:Serum | Sex:NA | Treatment:NA RAW_FILE_NAME(Raw file name)=Serum_QC_1.D SUBJECT_SAMPLE_FACTORS - Serum_QC_2 Sample source:Serum | Sex:NA | Treatment:NA RAW_FILE_NAME(Raw file name)=Serum_QC_2.D SUBJECT_SAMPLE_FACTORS - Serum_QC_3 Sample source:Serum | Sex:NA | Treatment:NA RAW_FILE_NAME(Raw file name)=Serum_QC_3.D SUBJECT_SAMPLE_FACTORS - Serum_QC_4 Sample source:Serum | Sex:NA | Treatment:NA RAW_FILE_NAME(Raw file name)=Serum_QC_4.D SUBJECT_SAMPLE_FACTORS - FLOW1 Sample source:Serum | Sex:Female | Treatment:Low_MPs RAW_FILE_NAME(Raw file name)=Serum_1.D SUBJECT_SAMPLE_FACTORS - FLOW2 Sample source:Serum | Sex:Female | Treatment:Low_MPs RAW_FILE_NAME(Raw file name)=Serum_2.D SUBJECT_SAMPLE_FACTORS - FLOW3 Sample source:Serum | Sex:Female | Treatment:Low_MPs RAW_FILE_NAME(Raw file name)=Serum_3.D SUBJECT_SAMPLE_FACTORS - FLOW4 Sample source:Serum | Sex:Female | Treatment:Low_MPs RAW_FILE_NAME(Raw file name)=Serum_4.D SUBJECT_SAMPLE_FACTORS - MLOW1 Sample source:Serum | Sex:Male | Treatment:Low_MPs RAW_FILE_NAME(Raw file name)=Serum_5.D SUBJECT_SAMPLE_FACTORS - MLOW2 Sample source:Serum | Sex:Male | Treatment:Low_MPs RAW_FILE_NAME(Raw file name)=Serum_6.D SUBJECT_SAMPLE_FACTORS - MLOW3 Sample source:Serum | Sex:Male | Treatment:Low_MPs RAW_FILE_NAME(Raw file name)=Serum_7.D SUBJECT_SAMPLE_FACTORS - MLOW4 Sample source:Serum | Sex:Male | Treatment:Low_MPs RAW_FILE_NAME(Raw file name)=Serum_8.D SUBJECT_SAMPLE_FACTORS - FHIGH1 Sample source:Serum | Sex:Female | Treatment:High_MPs RAW_FILE_NAME(Raw file name)=Serum_9.D SUBJECT_SAMPLE_FACTORS - FHIGH2 Sample source:Serum | Sex:Female | Treatment:High_MPs RAW_FILE_NAME(Raw file name)=Serum_10.D SUBJECT_SAMPLE_FACTORS - FHIGH3 Sample source:Serum | Sex:Female | Treatment:High_MPs RAW_FILE_NAME(Raw file name)=Serum_11.D SUBJECT_SAMPLE_FACTORS - FHIGH4 Sample source:Serum | Sex:Female | Treatment:High_MPs RAW_FILE_NAME(Raw file name)=Serum_12.D SUBJECT_SAMPLE_FACTORS - MHIGH1 Sample source:Serum | Sex:Male | Treatment:High_MPs RAW_FILE_NAME(Raw file name)=Serum_13.D SUBJECT_SAMPLE_FACTORS - MHIGH2 Sample source:Serum | Sex:Male | Treatment:High_MPs RAW_FILE_NAME(Raw file name)=Serum_14.D SUBJECT_SAMPLE_FACTORS - MHIGH3 Sample source:Serum | Sex:Male | Treatment:High_MPs RAW_FILE_NAME(Raw file name)=Serum_15.D SUBJECT_SAMPLE_FACTORS - MHIGH4 Sample source:Serum | Sex:Male | Treatment:High_MPs RAW_FILE_NAME(Raw file name)=Serum_16.D SUBJECT_SAMPLE_FACTORS - FCTRL1 Sample source:Serum | Sex:Female | Treatment:Control RAW_FILE_NAME(Raw file name)=Serum_17.D SUBJECT_SAMPLE_FACTORS - FCTRL2 Sample source:Serum | Sex:Female | Treatment:Control RAW_FILE_NAME(Raw file name)=Serum_18.D SUBJECT_SAMPLE_FACTORS - FCTRL3 Sample source:Serum | Sex:Female | Treatment:Control RAW_FILE_NAME(Raw file name)=Serum_19.D SUBJECT_SAMPLE_FACTORS - FCTRL4 Sample source:Serum | Sex:Female | Treatment:Control RAW_FILE_NAME(Raw file name)=Serum_20.D SUBJECT_SAMPLE_FACTORS - MCTRL1 Sample source:Serum | Sex:Male | Treatment:Control RAW_FILE_NAME(Raw file name)=Serum_21.D SUBJECT_SAMPLE_FACTORS - MCTRL2 Sample source:Serum | Sex:Male | Treatment:Control RAW_FILE_NAME(Raw file name)=Serum_22.D SUBJECT_SAMPLE_FACTORS - MCTRL3 Sample source:Serum | Sex:Male | Treatment:Control RAW_FILE_NAME(Raw file name)=Serum_23.D SUBJECT_SAMPLE_FACTORS - MCTRL4 Sample source:Serum | Sex:Male | Treatment:Control RAW_FILE_NAME(Raw file name)=Serum_24.D #COLLECTION CO:COLLECTION_SUMMARY Blood was collected via cardiac puncture and samples were spun and separated for CO:COLLECTION_SUMMARY serum. Frozen serum samples were first thawed overnight under 4oC, and 50 μL of CO:COLLECTION_SUMMARY each sample was placed in a 2 mL Eppendorf vial prior to metabolomic analysis CO:SAMPLE_TYPE Blood (serum) #TREATMENT TR:TREATMENT_SUMMARY 8-week-old male and female C57/BL6 mice were orally gavaged mixed plastic (5 TR:TREATMENT_SUMMARY µm) exposure consisting of polystyrene, polyethylene, and the TR:TREATMENT_SUMMARY biodegradable/biocompatible plastic, poly(lactic-co-glycolic acid), twice a week TR:TREATMENT_SUMMARY for 4 weeks at 0, 2, or 4 mg/week (n = 8/group). TR:TREATMENT in vivo oral ingestion TR:TREATMENT_COMPOUND mixed microplastics (polystyrene, polyethylene, poly lactic-co glycolic acid) TR:TREATMENT_ROUTE gastric oral gavage TR:TREATMENT_DOSE 0mg/wk, 2mg/wk, 4mg/wk TR:TREATMENT_DOSEVOLUME 100 ul of 10mg/ml twice a week for 2mg/wk and 200ul of 10mg/ml twice a week for TR:TREATMENT_DOSEVOLUME 4mg/wk TR:TREATMENT_DOSEDURATION 4 weeks TR:TREATMENT_VEHICLE water #SAMPLEPREP SP:SAMPLEPREP_SUMMARY For serum samples, 20 μL of each sample was mixed with 30 μL aqueous NaOH SP:SAMPLEPREP_SUMMARY (0.1M in water), 20 μL IS (hexanoic acid-6,6,6-d3; 200 µM) and 430 μL MeOH in SP:SAMPLEPREP_SUMMARY a 1.5 mL Eppendorf tube. The pH value for the mixture was 9. Samples were then SP:SAMPLEPREP_SUMMARY vortexed for 10 s and stored at -20 ºC for 20 min. After centrifugation at SP:SAMPLEPREP_SUMMARY 14,000 RPM for 10 min at 4 ºC, 450 μL supernatant was removed into a new SP:SAMPLEPREP_SUMMARY Eppendorf tube. The samples were dried under vacuum at 37 ºC for 120 min using SP:SAMPLEPREP_SUMMARY a CentriVap Concentrator (Labconco, Fort Scott, KS). Each sample was first SP:SAMPLEPREP_SUMMARY derivatized with 40 µL of methoxyamine hydrochloride solution in pyridine SP:SAMPLEPREP_SUMMARY (MeOX, 20 mg/mL) under 60 ℃ for 90 min. Next, 60 µL of MTBSTFA was added, and SP:SAMPLEPREP_SUMMARY the mixture was incubated under 60 ℃ for 30 min. Then the sample was vortexed SP:SAMPLEPREP_SUMMARY for 30 s, followed by centrifugation at 14,000 rpm for 10 min. Finally, 70 µL SP:SAMPLEPREP_SUMMARY supernatant was collected into a new glass vial for GC-MS analysis. #CHROMATOGRAPHY CH:CHROMATOGRAPHY_SUMMARY GC-MS experiments were performed using an Agilent 7820A gas chromatography CH:CHROMATOGRAPHY_SUMMARY system coupled to an Agilent 5977B mass spectrometer (Agilent Technologies, CH:CHROMATOGRAPHY_SUMMARY Santa Clara, CA). Chemical derivatives in the samples were separated using an CH:CHROMATOGRAPHY_SUMMARY HP-5 ms capillary column coated with 5% phenyl-95% methylpolysiloxane (30 m×250 CH:CHROMATOGRAPHY_SUMMARY µm i.d., 0.25 µm film thickness, Agilent Technologies). 1 µL of each sample CH:CHROMATOGRAPHY_SUMMARY was injected, and the solvent delay time was set to 5 min. The initial oven CH:CHROMATOGRAPHY_SUMMARY temperature was held at 60 ℃ for 1 min, ramped up to 325 ℃ at a rate of 10 CH:CHROMATOGRAPHY_SUMMARY ℃/min, and finally held at 325 ℃ for 10 min. Helium was used as the carrier CH:CHROMATOGRAPHY_SUMMARY gas at a constant flow rate of 20 mL/min through the column. CH:CHROMATOGRAPHY_TYPE GC CH:INSTRUMENT_NAME Agilent 7820A CH:COLUMN_NAME Agilent HP5-MS (30m x 0.25mm, 0.25 um) CH:SOLVENT_A N/A CH:SOLVENT_B N/A CH:FLOW_GRADIENT N/A CH:FLOW_RATE 20 mL/min CH:COLUMN_TEMPERATURE The initial oven temperature was held at 60 ℃ for 1 min, ramped up to 325 ℃ CH:COLUMN_TEMPERATURE at a rate of 10 ℃/min, and finally held at 325 ℃ for 10 min CH:INJECTION_TEMPERATURE 60 ℃ CH:OVEN_TEMPERATURE 60 ℃ for 1 min, ramped up to 325 ℃ at a rate of 10 ℃/min, held at 325 ℃ CH:OVEN_TEMPERATURE for 10 min CH:CHROMATOGRAPHY_COMMENTS The temperatures of the front inlet, transfer line, and electron impact (EI) ion CH:CHROMATOGRAPHY_COMMENTS source were set at 250 ℃, 290 ℃, and 230 ℃, respectively #ANALYSIS AN:ANALYSIS_TYPE MS #MS MS:INSTRUMENT_NAME Agilent 5977B MS:INSTRUMENT_TYPE Single quadrupole MS:MS_TYPE EI MS:ION_MODE POSITIVE MS:MS_COMMENTS The temperatures of the front inlet, transfer line, and electron impact (EI) ion MS:MS_COMMENTS source were set at 250 ℃, 290 ℃, and 230 ℃, respectively. The electron MS:MS_COMMENTS energy was -70 eV, and the mass spectral data were collected in the full scan MS:MS_COMMENTS mode (m/z 30-600). Agilent MassHunter Workstation Software Quantitative Analysis MS:MS_COMMENTS (B.09.00) was used to process the GC-MS data for compound identification, peak MS:MS_COMMENTS picking, and quantification. The signal-to-noise ratio (S/N) was set to S/N=3. MS:MS_COMMENTS The retention time and quantification mass for each SCFA were determined using MS:MS_COMMENTS its chemical standard. The concentrations of SCFAs in biological samples were MS:MS_COMMENTS calculated using the calibration curves constructed from the corresponding SCFA MS:MS_COMMENTS standards. #MS_METABOLITE_DATA MS_METABOLITE_DATA:UNITS Relative abundance MS_METABOLITE_DATA_START Samples STD_1 STD_2 STD_3 STD_4 STD_5 STD_6 STD_7 STD_8 STD_9 STD_10 STD_11 Serum_QC_1 Serum_QC_2 Serum_QC_3 Serum_QC_4 FLOW1 FLOW2 FLOW3 FLOW4 MLOW1 MLOW2 MLOW3 MLOW4 FHIGH1 FHIGH2 FHIGH3 FHIGH4 MHIGH1 MHIGH2 MHIGH3 MHIGH4 FCTRL1 FCTRL2 FCTRL3 FCTRL4 MCTRL1 MCTRL2 MCTRL3 MCTRL4 Factors Sample source:Serum | Sex:NA | Treatment:NA Sample source:Serum | Sex:NA | Treatment:NA Sample source:Serum | Sex:NA | Treatment:NA Sample source:Serum | Sex:NA | Treatment:NA Sample source:Serum | Sex:NA | Treatment:NA Sample source:Serum | Sex:NA | Treatment:NA Sample source:Serum | Sex:NA | Treatment:NA Sample source:Serum | Sex:NA | Treatment:NA Sample source:Serum | Sex:NA | Treatment:NA Sample source:Serum | Sex:NA | Treatment:NA Sample source:Serum | Sex:NA | Treatment:NA Sample source:Serum | Sex:NA | Treatment:NA Sample source:Serum | Sex:NA | Treatment:NA Sample source:Serum | Sex:NA | Treatment:NA Sample source:Serum | Sex:NA | Treatment:NA Sample source:Serum | Sex:Female | Treatment:Low_MPs Sample source:Serum | Sex:Female | Treatment:Low_MPs Sample source:Serum | Sex:Female | Treatment:Low_MPs Sample source:Serum | Sex:Female | Treatment:Low_MPs Sample source:Serum | Sex:Male | Treatment:Low_MPs Sample source:Serum | Sex:Male | Treatment:Low_MPs Sample source:Serum | Sex:Male | Treatment:Low_MPs Sample source:Serum | Sex:Male | Treatment:Low_MPs Sample source:Serum | Sex:Female | Treatment:High_MPs Sample source:Serum | Sex:Female | Treatment:High_MPs Sample source:Serum | Sex:Female | Treatment:High_MPs Sample source:Serum | Sex:Female | Treatment:High_MPs Sample source:Serum | Sex:Male | Treatment:High_MPs Sample source:Serum | Sex:Male | Treatment:High_MPs Sample source:Serum | Sex:Male | Treatment:High_MPs Sample source:Serum | Sex:Male | Treatment:High_MPs Sample source:Serum | Sex:Female | Treatment:Control Sample source:Serum | Sex:Female | Treatment:Control Sample source:Serum | Sex:Female | Treatment:Control Sample source:Serum | Sex:Female | Treatment:Control Sample source:Serum | Sex:Male | Treatment:Control Sample source:Serum | Sex:Male | Treatment:Control Sample source:Serum | Sex:Male | Treatment:Control Sample source:Serum | Sex:Male | Treatment:Control Acetic acid 1065436 318870 141003 125624 115507 118193 123300 112269 122377 118872 125573 212099 626719 913907 642744 371086 258917 351641 275037 521957 498697 275563 267360 306853 367194 302512 403705 608147 782891 639270 801549 713343 816514 1196424 869215 1024292 1196197 1018667 938642 Propionic acid 301668 87748 103434 31570 26759 33708 23571 22952 21590 22713 19222 76664 31691 35103 45807 29601 30194 36611 37188 39586 34250 42305 42741 40965 50208 50352 53280 26155 23833 23943 23419 26929 27143 28915 31015 24205 26027 28459 29647 Isobutyric acid 327679 342106 286981 313645 324073 322391 293503 301649 286938 289864 282573 359423 251108 263901 322853 325969 322905 346134 355853 356719 356802 372462 385791 375926 362980 357620 352559 258028 264650 251112 255058 252404 266140 259918 262722 274906 277952 285961 297848 Butyric acid 973457 216420 45810 25354 23625 18902 16988 13844 14289 14530 12798 19772 13194 15651 16845 22457 17631 20535 33589 19989 20887 19455 21938 21557 18715 20833 22295 15872 17143 14612 18091 15577 16385 16384 17237 16272 16704 18761 18011 Isovaleric acid 763187 165921 21797 8294 8138 4835 3033 2702 1407 1622 1222 2663 2055 2416 1845 1868 2345 1832 2700 2352 2287 2420 2760 2580 2402 2448 3607 1758 175001 1314 1709 1594 1883 1900 2062 1759 2125 2097 1757 2-Methylbutyric acid 798833 166236 18277 6492 7139 4582 2274 2558 1732 1716 1318 1740 1760 2023 1885 1884 2123 2341 2634 2215 2045 2338 1644 2177 2232 1940 2949 1893 1728 1802 1914 1968 2286 1759 2387 2193 2017 2447 1970 Valeric acid 226332 62369 11180 4683 3720 2912 1718 1895 1506 1567 1834 2108 2422 2847 2349 1964 2726 2636 2328 2350 2711 2108 2324 2724 2733 2898 2330 1698 1904 2073 1694 2166 2589 2673 2305 1854 2586 1956 2619 2-Methylpentaboic acid 611843 131319 14255 3836 4546 2230 545 739 550 447 305 807 321 595 579 536 284 487 610 606 552 554 628 769 868 1028 890 381 466 313 294 516 311 509 350 423 452 627 710 3-Methylpentanoic acid 567156 115256 11426 3385 3846 1721 228 723 262 157 133 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4-Methylpentanoic acid 523240 115457 17930 6112 3590 1558 530 682 436 316 242 182 410 352 273 390 280 439 273 227 289 244 283 220 198 234 274 482 487 432 356 479 480 368 220 280 315 328 380 Caproic acid 406030 91771 16762 8590 5573 3286 4017 3548 2736 2909 3229 1839 3938 3771 2604 2980 3979 3162 2262 2483 2482 2024 2355 2714 2172 2502 2686 4120 3657 4077 4009 5238 4020 4201 4213 3943 4362 3806 4681 2-Methylhexanoic acid 215086 49748 11739 8208 8806 8277 8143 8182 8911 8022 8376 3763 9659 9399 7743 5786 5631 8382 5612 6569 5254 5866 5400 4980 4653 4973 4751 9435 11128 10798 10408 9676 10895 11557 10796 8730 10598 11305 10150 4-Methylhexanoic acid 153791 33156 4868 1646 1119 542 140 140 74 71 116 124 26 65 118 90 12 46 11 6 29 32 35 67 49 72 65 98 8 59 72 91 23 81 69 124 20 73 41 Heptanoic acid 184901 41344 7514 3725 2562 1265 1097 1017 684 727 1029 418 892 1085 958 762 813 688 421 479 633 315 372 507 414 461 618 969 831 1035 946 1245 1213 1060 801 1001 1283 1320 914 Hexanoic acid-6,6,6-D3 146469 140020 93882 83321 74067 65847 48039 74476 64199 73825 63942 65668 148831 134524 107328 96412 87645 89789 87693 94478 81983 80839 79336 71002 77402 75644 74520 145799 155578 141015 150455 153136 149478 146543 148791 145144 144481 149178 142997 Octanoic acid 1481 1107 1791 1254 1745 1077 1440 1815 1187 1209 1533 1981 3693 3709 2659 3175 2868 2788 2178 3250 2096 1794 2140 2509 2661 2939 2186 3477 3255 3192 3323 3625 3222 3699 2393 3391 3691 4622 3650 Lactate 7277 18311 8973 4218 5967 12148 6205 6897 11677 4623 8608 627216 1951032 1621855 1287874 1525762 1040131 1077153 934854 1435747 998770 827639 945888 1261163 1460682 1117198 861730 1076509 1843632 1476009 1814451 1655597 1448105 1557310 846440 1883767 1767400 1642277 2059374 Nonanoic acid 5427 3764 4820 7429 3196 5351 8288 5388 3235 4186 11940 1374 6336 5556 4044 2232 4290 4344 3798 1988 4441 1349 1150 3225 2248 1874 1664 7015 6109 3365 6389 7736 12304 2759 2387 3647 7058 4567 5495 Capric acid 865 1034 696 842 1109 1019 1102 880 1003 1049 737 339 1006 1128 737 923 834 540 790 823 503 421 608 461 470 522 451 1245 1066 816 1286 1410 967 1075 1100 1405 931 2607 1193 Succinate 556 385 258 450 210 395 496 735 400 406 517 2606 13719 11063 7609 18028 13832 18207 11210 6570 3139 9477 3386 3708 3023 3563 2270 9827 6392 7295 6999 7521 5884 6911 2775 6430 5481 4913 8970 MS_METABOLITE_DATA_END #METABOLITES METABOLITES_START metabolite_name Acetic acid Propionic acid Isobutyric acid Butyric acid Isovaleric acid 2-Methylbutyric acid Valeric acid 2-Methylpentaboic acid 3-Methylpentanoic acid 4-Methylpentanoic acid Caproic acid Hexanoic acid-6,6,6-D3 2-Methylhexanoic acid 4-Methylhexanoic acid Heptanoic acid Octanoic acid Lactate Nonanoic acid Capric acid Succinate METABOLITES_END #END