#METABOLOMICS WORKBENCH jdcolter_20250614_094342 DATATRACK_ID:6038 STUDY_ID:ST004072 ANALYSIS_ID:AN006738 PROJECT_ID:PR002556 VERSION 1 CREATED_ON July 18, 2025, 11:01 am #PROJECT PR:PROJECT_TITLE Metabolic perturbation in ependymal cells leads to local and distant PR:PROJECT_TITLE neurodegeneration and cognitive decline PR:PROJECT_TYPE MS Imaging Analysis PR:PROJECT_SUMMARY Ependymal cells (ECs) are specialized multi-ciliated glial cells that line the PR:PROJECT_SUMMARY ventricular system of the brain, regulating cerebrospinal fluid flow (CSF) and PR:PROJECT_SUMMARY the neighbouring neural stem cell (NSC) niche. However, their role in PR:PROJECT_SUMMARY maintaining brain homeostasis or in disease pathogenesis remains unclear. To PR:PROJECT_SUMMARY elucidate their function, we disrupted ependymal glucose metabolism by PR:PROJECT_SUMMARY genetically deleting glucose-transporter-1 (GLUT1/Slc2a1) in postnatal ECs. PR:PROJECT_SUMMARY Analyses were carried out across three separate studies (batches), with one PR:PROJECT_SUMMARY study at 1 month (6 mice) and two studies at 12 months (3 mice, 5 mice). Results PR:PROJECT_SUMMARY from this project confirm CSF flow changes and disrupted NSC differentiation and PR:PROJECT_SUMMARY neuroblast migration. These mice also exhibited periventricular lipid droplet PR:PROJECT_SUMMARY accumulation similar to Alzheimer’s disease brains. Aged cKO mice exhibited PR:PROJECT_SUMMARY progressive cognitive and motor dysfunction, and onset of seizure activity. PR:PROJECT_SUMMARY These behavioral deficits were coincident with various neurodegenerative PR:PROJECT_SUMMARY pathologies, including dysmyelination, microglia-associated inflammation, and PR:PROJECT_SUMMARY lipid imbalance. When combined with metabolic perturbation in ECs, 5xFAD mice PR:PROJECT_SUMMARY exhibited accelerated disease onset. These findings suggest that ECs are PR:PROJECT_SUMMARY important regulators of brain homeostasis, and their dysfunction may contribute PR:PROJECT_SUMMARY to the pathogenesis of neurodegenerative diseases. PR:INSTITUTE University of Calgary PR:DEPARTMENT Veterinary Medicine PR:LABORATORY Biernaskie Lab PR:LAST_NAME Colter PR:FIRST_NAME James PR:ADDRESS 2500 University Drive NW PR:EMAIL jdcolter@ucalgary.ca PR:PHONE +1 (403) 210-7306 PR:FUNDING_SOURCE CIHR PR:PROJECT_COMMENTS Part 3 of 3 PR:PUBLICATIONS (Under Review) PR:CONTRIBUTORS Nilesh Sharma, Alexander Pun, James Colter, Leslie Cao, Nicole Rosin, Dominic PR:CONTRIBUTORS Gerding, Isabel Rea, Apolline Pistek, Qandeel Shafqat, Sarthak Sinha, Elodie PR:CONTRIBUTORS Labit, Eren Kutluberk, Caleb Small, Reese Landes, Tak Ho Chu, Kartikeya Murari, PR:CONTRIBUTORS E. Dale Abel, Jeffrey T. Joseph, Rehana Leak, Jeff Dunn, and Jeff Biernaskie #STUDY ST:STUDY_TITLE Metabolic perturbation in ependymal cells leads to local and distant ST:STUDY_TITLE neurodegeneration and cognitive decline - Study 3 of 3 (1-month Glut1KO against ST:STUDY_TITLE Ctrl) ST:STUDY_SUMMARY Ependymal cells (ECs) are specialized multi-ciliated glial cells that line the ST:STUDY_SUMMARY ventricular system of the brain, regulating cerebrospinal fluid flow (CSF) and ST:STUDY_SUMMARY the neighbouring neural stem cell (NSC) niche. However, their role in ST:STUDY_SUMMARY maintaining brain homeostasis or in disease pathogenesis remains unclear. To ST:STUDY_SUMMARY elucidate their function, we disrupted ependymal glucose metabolism by ST:STUDY_SUMMARY genetically deleting glucose-transporter-1 (GLUT1/Slc2a1) in postnatal ECs. ST:STUDY_SUMMARY Analyses were carried out across three separate studies (batches), with one ST:STUDY_SUMMARY study at 1 month (6 mice) and two studies at 12 months (3 mice, 5 mice). Results ST:STUDY_SUMMARY from this project confirm CSF flow changes and disrupted NSC differentiation and ST:STUDY_SUMMARY neuroblast migration. These mice also exhibited periventricular lipid droplet ST:STUDY_SUMMARY accumulation similar to Alzheimer’s disease brains. Aged cKO mice exhibited ST:STUDY_SUMMARY progressive cognitive and motor dysfunction, and onset of seizure activity. ST:STUDY_SUMMARY These behavioral deficits were coincident with various neurodegenerative ST:STUDY_SUMMARY pathologies, including dysmyelination, microglia-associated inflammation, and ST:STUDY_SUMMARY lipid imbalance. When combined with metabolic perturbation in ECs, 5xFAD mice ST:STUDY_SUMMARY exhibited accelerated disease onset. These findings suggest that ECs are ST:STUDY_SUMMARY important regulators of brain homeostasis, and their dysfunction may contribute ST:STUDY_SUMMARY to the pathogenesis of neurodegenerative diseases. In this part, 6x mice were ST:STUDY_SUMMARY analyzed at 1-months under Glut1ko (3 mice) or Control (3 mice) conditions. ST:INSTITUTE University of Calgary ST:DEPARTMENT Veterinary Medicine ST:LABORATORY Biernaskie Lab ST:LAST_NAME Colter ST:FIRST_NAME James ST:ADDRESS 2500 University Drive NW, Calgary AB Canada, T2N1N4 ST:EMAIL jdcolter@ucalgary.ca ST:PHONE +1 (403) 210-7306 ST:NUM_GROUPS 4 ST:TOTAL_SUBJECTS 13 #SUBJECT SU:SUBJECT_TYPE Mammal SU:SUBJECT_SPECIES Mus musculus SU:TAXONOMY_ID 10090 SU:AGE_OR_AGE_RANGE 1 month #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 - 286 Sample source:240301_youngmice | Condition:Control | Sample source:Brain Age (Months)=1; RAW_FILE_NAME(Raw Data Files)=c6e2cf46-1a76-4ede-b919-9a5029855092_1.mcf; RAW_FILE_NAME(Raw Data Files)=c6e2cf46-1a76-4ede-b919-9a5029855092_2.mcf SUBJECT_SAMPLE_FACTORS - 287 Sample source:240301_youngmice | Condition:Control | Sample source:Brain Age (Months)=1; RAW_FILE_NAME(Raw Data Files)=c6e2cf46-1a76-4ede-b919-9a5029855092_1.mcf; RAW_FILE_NAME(Raw Data Files)=c6e2cf46-1a76-4ede-b919-9a5029855092_2.mcf SUBJECT_SAMPLE_FACTORS - 288 Sample source:240301_youngmice | Condition:Control | Sample source:Brain Age (Months)=1; RAW_FILE_NAME(Raw Data Files)=c6e2cf46-1a76-4ede-b919-9a5029855092_1.mcf; RAW_FILE_NAME(Raw Data Files)=c6e2cf46-1a76-4ede-b919-9a5029855092_2.mcf SUBJECT_SAMPLE_FACTORS - 509 Sample source:240301_youngmice | Condition:Knockout | Sample source:Brain Age (Months)=1; RAW_FILE_NAME(Raw Data Files)=c6e2cf46-1a76-4ede-b919-9a5029855092_1.mcf; RAW_FILE_NAME(Raw Data Files)=c6e2cf46-1a76-4ede-b919-9a5029855092_2.mcf SUBJECT_SAMPLE_FACTORS - 521 Sample source:240301_youngmice | Condition:Knockout | Sample source:Brain Age (Months)=1; RAW_FILE_NAME(Raw Data Files)=c6e2cf46-1a76-4ede-b919-9a5029855092_1.mcf; RAW_FILE_NAME(Raw Data Files)=c6e2cf46-1a76-4ede-b919-9a5029855092_2.mcf SUBJECT_SAMPLE_FACTORS - 522 Sample source:240301_youngmice | Condition:Knockout | Sample source:Brain Age (Months)=1; RAW_FILE_NAME(Raw Data Files)=c6e2cf46-1a76-4ede-b919-9a5029855092_1.mcf; RAW_FILE_NAME(Raw Data Files)=c6e2cf46-1a76-4ede-b919-9a5029855092_2.mcf #COLLECTION CO:COLLECTION_SUMMARY The brain was collected as mentioned below. After the mice were euthanized, it CO:COLLECTION_SUMMARY was transcardially perfused with PBS. The brain is dissected out and then flash CO:COLLECTION_SUMMARY frozen in liquid nitrogen. The flash frozen brain tissue was then sectioned at CO:COLLECTION_SUMMARY 12 μm thickness on a cryostat (Leica Biosystems). CO:SAMPLE_TYPE Brain #TREATMENT TR:TREATMENT_SUMMARY The brain was collected as mentioned with minor modifications. After the mice TR:TREATMENT_SUMMARY were euthanized, it was transcardially perfused with PBS. The brain is dissected TR:TREATMENT_SUMMARY out and then flash frozen in liquid nitrogen. The flash frozen brain tissue was TR:TREATMENT_SUMMARY then sectioned at 12 μm thickness on a cryostat (Leica Biosystems). MALDI TR:TREATMENT_SUMMARY matrix (9-aminoacridine, 9AA) (Sigma-Aldrich) was spray-coated onto the target TR:TREATMENT_SUMMARY slides in an automated fashion using a TM Sprayer (HTX Imaging). 9-AA was made TR:TREATMENT_SUMMARY up as a 5 mg/ml solution in 90% methanol. Four passes were used with a nozzle TR:TREATMENT_SUMMARY temperature of 85°, a flowrate of 0.15 ml/min, 2-mm track spacing, and a stage TR:TREATMENT_SUMMARY velocity of 700 mm/min. Nitrogen was used as the nebulization gas and was set to TR:TREATMENT_SUMMARY 10 psi. Images were acquired on a 15T Fourier transform ion cyclotron resonance TR:TREATMENT_SUMMARY mass spectrometer (FT-ICR MS, Solarix, Bruker Daltonics) equipped with an Apollo TR:TREATMENT_SUMMARY II dual ion source and Smartbeam II 2kHz Nd:YAG laser that was frequency tripled TR:TREATMENT_SUMMARY to 355 nm. Data were collected in the negative ion mode with the laser operating TR:TREATMENT_SUMMARY at 2 kHz at 50 μm resolution. Tentative metabolite identifications were made by TR:TREATMENT_SUMMARY accurate mass, typically better than 1 ppm. Images were analyzed with TR:TREATMENT_SUMMARY flexImaging software (Bruker), while average spectra were exported to mMass for TR:TREATMENT_SUMMARY visualization of differences. #SAMPLEPREP SP:SAMPLEPREP_SUMMARY MALDI matrix (9-aminoacridine, 9AA) (Sigma-Aldrich) was spray-coated onto the SP:SAMPLEPREP_SUMMARY target slides in an automated fashion using a TM Sprayer (HTX Imaging). 9-AA was SP:SAMPLEPREP_SUMMARY made up as a 5 mg/ml solution in 90% methanol. Four passes were used with a SP:SAMPLEPREP_SUMMARY nozzle temperature of 85°, a flowrate of 0.15 ml/min, 2-mm track spacing, and a SP:SAMPLEPREP_SUMMARY stage velocity of 700 mm/min. Nitrogen was used as the nebulization gas and was SP:SAMPLEPREP_SUMMARY set to 10 psi. Images were acquired on a 15T Fourier transform ion cyclotron SP:SAMPLEPREP_SUMMARY resonance mass spectrometer (FT-ICR MS, Solarix, Bruker Daltonics) equipped with SP:SAMPLEPREP_SUMMARY an Apollo II dual ion source and Smartbeam II 2kHz Nd:YAG laser that was SP:SAMPLEPREP_SUMMARY frequency tripled to 355 nm. Data were collected in the negative ion mode with SP:SAMPLEPREP_SUMMARY the laser operating at 2 kHz at 50 μm resolution. Tentative metabolite SP:SAMPLEPREP_SUMMARY identifications were made by accurate mass, typically better than 1 ppm. Images SP:SAMPLEPREP_SUMMARY were analyzed with flexImaging software (Bruker), while average spectra were SP:SAMPLEPREP_SUMMARY exported to mMass for visualization of differences. #CHROMATOGRAPHY CH:CHROMATOGRAPHY_TYPE None (Direct infusion) CH:INSTRUMENT_NAME none CH:COLUMN_NAME none CH:SOLVENT_A none CH:SOLVENT_B none CH:FLOW_GRADIENT none CH:FLOW_RATE none CH:COLUMN_TEMPERATURE none #ANALYSIS AN:ANALYSIS_TYPE MS #MS MS:INSTRUMENT_NAME Bruker Solarix FT-ICR-MS MS:INSTRUMENT_TYPE MALDI-TOF MS:MS_TYPE MALDI MS:ION_MODE NEGATIVE MS:MS_COMMENTS Methods below. Please note that the processed data files included in this MS:MS_COMMENTS submission only provide the identified metabolites in the set, since the data MS:MS_COMMENTS format for workbench does not allow a 3-dimensional approach (each pixel MS:MS_COMMENTS contains a spectrum, and sample brains within an experiment are sectioned by MS:MS_COMMENTS brain region and analyzed by metabolite across spatial coordinates). Please MS:MS_COMMENTS refer to github.com/BiernaskieLab for .csv files containing spectral intensities MS:MS_COMMENTS by metabolite across spatial coordinates for specific brain regions by sample. MS:MS_COMMENTS MALDI-TOF spectral data was acquired using Bruker Compass FlexImaging software. MS:MS_COMMENTS The raw dataset was exported to Bruker SciLS Lab for peak-finding, isolation of MS:MS_COMMENTS spectral data by region. Reorganized data was exported as .csv files for MS:MS_COMMENTS cross-dataset comparisons utilizing Python. Total ion count (TIC) normalization MS:MS_COMMENTS was applied prior to exporting numerical intensity data from SciLS Lab or MS:MS_COMMENTS plotting and exporting images from FlexImaging. Automated peak-finding was MS:MS_COMMENTS applied within Bruker SciLS Lab to TIC-normalized datasets to generate an ion MS:MS_COMMENTS list for further processing. This ion list was cross-referenced between datasets MS:MS_COMMENTS to harmonize the ion list across brain sections imaged in all experiments. The MS:MS_COMMENTS COMP_DB database at https://www.lipidmaps.org was applied to annotate ions with MS:MS_COMMENTS potential lipid hits. A delta m/z of ±0.01 was used. If no matches were MS:MS_COMMENTS returned, this delta was increased to ±0.02, and repeated at ±0.05 if nothing MS:MS_COMMENTS was returned. Ions that had no matches in the database beyond ±0.05 were MS:MS_COMMENTS excluded from the set. Given the limitations of assessing fragmentation profiles MS:MS_COMMENTS of the mass spectral data, ions with potential matches from multiple lipid MS:MS_COMMENTS groups were classified as ‘unknown’. Those ions with multiple possible MS:MS_COMMENTS matches from the same group were included in their respective lipid group and MS:MS_COMMENTS annotated with all possible matches. This resulted in a list of 48 ions with MS:MS_COMMENTS known lipid groups. #MS_METABOLITE_DATA MS_METABOLITE_DATA:UNITS n/a MS_METABOLITE_DATA_START Samples 286 287 288 509 521 522 Factors Sample source:240301_youngmice | Condition:Control | Sample source:Brain Sample source:240301_youngmice | Condition:Control | Sample source:Brain Sample source:240301_youngmice | Condition:Control | Sample source:Brain Sample source:240301_youngmice | Condition:Knockout | Sample source:Brain Sample source:240301_youngmice | Condition:Knockout | Sample source:Brain Sample source:240301_youngmice | Condition:Knockout | Sample source:Brain CAR 13:0;O4 1 1 1 1 1 1 FA 16:0 1 1 1 1 1 1 FA 18:1 1 1 1 1 1 1 NAE 15:1, SPB 17:2;O2 1 1 1 1 1 1 FA 17:1;O, MG O-14:2 1 1 1 1 1 1 FA 18:0 1 1 1 1 1 1 NAE 15:0, SPB 17:1;O2 1 1 1 1 1 1 ST 21:5;O8;GlcA 1 1 1 1 1 1 FA 20:4, ST 20:1;O2 1 1 1 1 1 1 NAE 17:4 1 1 1 1 1 1 CoA 10:0 1 1 1 1 1 1 FA 13:3;O4 1 1 1 1 1 1 ST 25:7;O7;GlcA 1 1 1 1 1 1 ST 20:5;O3 1 1 1 1 1 1 ST 21:5;O3 1 1 1 1 1 1 FA 22:6, ST 22:3;O2 1 1 1 1 1 1 CAR 11:0, NAE 16:1;O2, SPB 18:2;O4, NAE 15:1, SPB 17:2;O2 1 1 1 1 1 1 FA 22:4, ST 22:1;O2 1 1 1 1 1 1 ST 18:5;O2;S 1 1 1 1 1 1 PIP 22:4 1 1 1 1 1 1 PIP 22:3; PIP3 36:3;O 1 1 1 1 1 1 FA 20:2;O2, MG 17:2, MG O-17:3;O 1 1 1 1 1 1 PIP 24:5 1 1 1 1 1 1 TG 73:1, TG O-73:2;O 1 1 1 1 1 1 SPBP 15:3;O3, M(IP)2C 28:5;O6 1 1 1 1 1 1 ST 22:6;O;S 1 1 1 1 1 1 NAT 11:0;O3 1 1 1 1 1 1 LPA O-16:2 1 1 1 1 1 1 CAR 11:0;O4, CAR 10:0; O2, NAE 15:1;O4, LPI O-32:6;O 1 1 1 1 1 1 ST 22:6;O2;S 1 1 1 1 1 1 LPA O-18:3, FA 22:3;O3, MG 19:3;O, ST 22:0;O5 1 1 1 1 1 1 FA 22:2;O2, MG 19:2, MG O-19:3;O, SQDG 33:0 1 1 1 1 1 1 MGDG 67:3 1 1 1 1 1 1 TG O-81:14, MGDG 68:4 1 1 1 1 1 1 LPA 16:0, LPA O-16:1;O 1 1 1 1 1 1 LPA O-18:3; FA 22:3;O3; MG 19:3;O, ST 22:0;O5 1 1 1 1 1 1 CAR 13:1;O4 1 1 1 1 1 1 CAR 15:1, NAE 20:2;O2, MGDG 41:9 1 1 1 1 1 1 LPA O-18:2, FA 22:2;O3, MG 19:2;O 1 1 1 1 1 1 CAR 13:0;O4, CAR 12:0;O2, NAE 17:1;O4, CAR 11:0;O2, NAE 16:1;O4' 1 1 1 1 1 1 TG 81:10;O2, TG O-81:11;O3 1 1 1 1 1 1 FA 23:6;O3, ST 23:3;O5, FA 22:6;O3, ST 22:3;O5, DG 20:5 1 1 1 1 1 1 LPC O-13:1, LPE O-16:1 1 1 1 1 1 1 FA 22:1;O4, LPA 18:0, LPA O-18:1;O 1 1 1 1 1 1 NAT 22:4 1 1 1 1 1 1 CAR 17:1, NAE 22:2;O2, MGDG 45:9 1 1 1 1 1 1 TG 87:19;O2, TG O-87:20;O3 1 1 1 1 1 1 LPC O-15:2, LPE O-18:2 1 1 1 1 1 1 ST 26:5;O5 1 1 1 1 1 1 LPC O-15:1, LPE O-18:1, CAR 17:0;O, NAE 22:1;O3 1 1 1 1 1 1 LPC 15:0, LPC O-15:1;O, LPE 18:0, LPE O-18:1;O, CAR 17:0;O2, NAE 22:1;O4 1 1 1 1 1 1 BMP 21:1;O, LPI O-18:2, PG 21:1;O 1 1 1 1 1 1 LPI 18:0, LPI O-18:1;O, BMP 20:0, LPG 20:1;O, PG 20:0, PG O-20:1;O 1 1 1 1 1 1 LPA 34:2;O, LPG O-31:3, PA 34:1, PA O-34:2;O 1 1 1 1 1 1 LPG O-33:4, PA 36:2, PA O-36:3;O, LPA O-34:4 1 1 1 1 1 1 LPG O-33:3, PA 36:1, PA O-36:2;O, PEth 34:1 1 1 1 1 1 1 CerPE 38:1;O2 1 1 1 1 1 1 CerP 39:1;O4, LPC 31:1;O, PC 32:0 1 1 1 1 1 1 CerP 41:2;O4, LPC 33:2;O, PE 36:1 1 1 1 1 1 1 CL 74:0 1 1 1 1 1 1 PA 40:6, PA O-40:7;O, PEth 38:6, DG 41:7;O2, TG 41:6;O 1 1 1 1 1 1 HexCer 36:6;O4, CAR 34:6;O4, DGCC 31:5 1 1 1 1 1 1 CerP 43:5;O4, PE 38:4, DGTA 34:4, LPC O-34:6 1 1 1 1 1 1 CE 21:5;O3, DG 45:9, CL 78:6 1 1 1 1 1 1 PE O-40:7, PC O-38:7 1 1 1 1 1 1 PE 40:6, PC 38:6 1 1 1 1 1 1 CL 82:10 1 1 1 1 1 1 SHexCer 36:1;O2 1 1 1 1 1 1 LPI 33:1, LPI O-33:2;O, PI O-33:1 1 1 1 1 1 1 PS 39:5, PS O-39:6;O, PT 38:5, PT O-38:6;O 1 1 1 1 1 1 PS 40:6, PT 39:6, PC O-37:8;O, PE 40:7 1 1 1 1 1 1 LPI 34:2;O, PG 35:2;O 1 1 1 1 1 1 PI 36:4, PG 38:5;O 1 1 1 1 1 1 CerP 47:3;O4, PC 39:2, PE 42:2 1 1 1 1 1 1 HexCer 43:6;O6 1 1 1 1 1 1 CerPE 42:2;O6, SM 39:2;O6 1 1 1 1 1 1 PI 38:5, PI O-38:6;O 1 1 1 1 1 1 PI 38:4, PG 40:5;O 1 1 1 1 1 1 PC O-43:11, PE O-46:11, Hex2Cer 34:4;O4 1 1 1 1 1 1 PG 42:5, PG O-42:6;O 1 1 1 1 1 1 SHexCer 42:2;O2 1 1 1 1 1 1 TG 52:10;O3, CerPE 44:3;O5, SM 41:3;O5 1 1 1 1 1 1 PE 46:6;O, PS O-45:6, PT O-44:6 1 1 1 1 1 1 TG 53:10, PA O-52:11 1 1 1 1 1 1 PC 41:3;O, PE 44:3;O, PS O-43:3, PT O-42:3 1 1 1 1 1 1 PS 45:5, PT 44:5, PC 42:6, PE 44:6 1 1 1 1 1 1 CerPE 44:2;O6, SM 41:2;O6 1 1 1 1 1 1 MS_METABOLITE_DATA_END #METABOLITES METABOLITES_START metabolite_name m/z CAR 13:0;O4 209.62856 FA 16:0 255.23273 FA 18:1 281.24803 NAE 15:1, SPB 17:2;O2 282.25137 FA 17:1;O, MG O-14:2 283.24271 FA 18:0 283.26374 NAE 15:0, SPB 17:1;O2 284.26705 ST 21:5;O8;GlcA 290.08752 FA 20:4, ST 20:1;O2 303.23234 NAE 17:4 304.23564 CoA 10:0 306.07583 FA 13:3;O4 307.09828 ST 25:7;O7;GlcA 308.10161 ST 20:5;O3 311.16803 ST 21:5;O3 325.18345 FA 22:6, ST 22:3;O2 327.23221 CAR 11:0, NAE 16:1;O2, SPB 18:2;O4, NAE 15:1, SPB 17:2;O2 328.23557 FA 22:4, ST 22:1;O2 331.26349 ST 18:5;O2;S 347.05818 PIP 22:4 370.13363 PIP 22:3; PIP3 36:3;O 371.13729 FA 20:2;O2, MG 17:2, MG O-17:3;O 375.22931 PIP 24:5 383.12895 TG 73:1, TG O-73:2;O 384.03138 SPBP 15:3;O3, M(IP)2C 28:5;O6 384.13689 ST 22:6;O;S 385.14468 NAT 11:0;O3 386.14784 LPA O-16:2 391.22401 CAR 11:0;O4, CAR 10:0; O2, NAE 15:1;O4, LPI O-32:6;O 392.22763 ST 22:6;O2;S 401.13926 LPA O-18:3, FA 22:3;O3, MG 19:3;O, ST 22:0;O5 401.24475 FA 22:2;O2, MG 19:2, MG O-19:3;O, SQDG 33:0 403.26048 MGDG 67:3 404.01321 TG O-81:14, MGDG 68:4 408.00996 LPA 16:0, LPA O-16:1;O 409.23451 LPA O-18:3; FA 22:3;O3; MG 19:3;O, ST 22:0;O5 417.23961 CAR 13:1;O4 418.24291 CAR 15:1, NAE 20:2;O2, MGDG 41:9 418.27148 LPA O-18:2, FA 22:2;O3, MG 19:2;O 419.25509 CAR 13:0;O4, CAR 12:0;O2, NAE 17:1;O4, CAR 11:0;O2, NAE 16:1;O4' 420.25878 TG 81:10;O2, TG O-81:11;O3 426.02027 FA 23:6;O3, ST 23:3;O5, FA 22:6;O3, ST 22:3;O5, DG 20:5 435.24989 LPC O-13:1, LPE O-16:1 436.28181 FA 22:1;O4, LPA 18:0, LPA O-18:1;O 437.26542 NAT 22:4 438.26894 CAR 17:1, NAE 22:2;O2, MGDG 45:9 446.30198 TG 87:19;O2, TG O-87:20;O3 448.00238 LPC O-15:2, LPE O-18:2 462.29703 ST 26:5;O5 463.22339 LPC O-15:1, LPE O-18:1, CAR 17:0;O, NAE 22:1;O3 464.31256 LPC 15:0, LPC O-15:1;O, LPE 18:0, LPE O-18:1;O, CAR 17:0;O2, NAE 22:1;O4 480.30742 BMP 21:1;O, LPI O-18:2, PG 21:1;O 581.30625 LPI 18:0, LPI O-18:1;O, BMP 20:0, LPG 20:1;O, PG 20:0, PG O-20:1;O 599.31631 LPA 34:2;O, LPG O-31:3, PA 34:1, PA O-34:2;O 673.47631 LPG O-33:4, PA 36:2, PA O-36:3;O, LPA O-34:4 699.49158 LPG O-33:3, PA 36:1, PA O-36:2;O, PEth 34:1 701.50704 CerPE 38:1;O2 715.5701 CerP 39:1;O4, LPC 31:1;O, PC 32:0 718.53328 CerP 41:2;O4, LPC 33:2;O, PE 36:1 744.54832 CL 74:0 745.55171 PA 40:6, PA O-40:7;O, PEth 38:6, DG 41:7;O2, TG 41:6;O 747.49081 HexCer 36:6;O4, CAR 34:6;O4, DGCC 31:5 748.49314 CerP 43:5;O4, PE 38:4, DGTA 34:4, LPC O-34:6 766.53277 CE 21:5;O3, DG 45:9, CL 78:6 767.53536 PE O-40:7, PC O-38:7 774.53656 PE 40:6, PC 38:6 790.53134 CL 82:10 791.53577 SHexCer 36:1;O2 806.53739 LPI 33:1, LPI O-33:2;O, PI O-33:1 807.54095 PS 39:5, PS O-39:6;O, PT 38:5, PT O-38:6;O 822.5323 PS 40:6, PT 39:6, PC O-37:8;O, PE 40:7 834.52004 LPI 34:2;O, PG 35:2;O 835.52384 PI 36:4, PG 38:5;O 857.50892 CerP 47:3;O4, PC 39:2, PE 42:2 862.60026 HexCer 43:6;O6 878.59496 CerPE 42:2;O6, SM 39:2;O6 879.59734 PI 38:5, PI O-38:6;O 883.52567 PI 38:4, PG 40:5;O 885.54089 PC O-43:11, PE O-46:11, Hex2Cer 34:4;O4 886.54472 PG 42:5, PG O-42:6;O 887.54721 SHexCer 42:2;O2 888.61552 TG 52:10;O3, CerPE 44:3;O5, SM 41:3;O5 889.61906 PE 46:6;O, PS O-45:6, PT O-44:6 890.63216 TG 53:10, PA O-52:11 891.63478 PC 41:3;O, PE 44:3;O, PS O-43:3, PT O-42:3 904.60995 PS 45:5, PT 44:5, PC 42:6, PE 44:6 906.62621 CerPE 44:2;O6, SM 41:2;O6 907.62918 METABOLITES_END #END