#METABOLOMICS WORKBENCH KunZuo_20190411_013935_mwtab.txt DATATRACK_ID:1701 STUDY_ID:ST001169 ANALYSIS_ID:AN001934 PROJECT_ID:PR000781 VERSION 1 CREATED_ON April 11, 2019, 1:26 pm #PROJECT PR:PROJECT_TITLE Alterations in serum metabolic patterns are associated with atrial fibrillation PR:PROJECT_SUMMARY Little evidence has been reported in characterizing the serum alterations in PR:PROJECT_SUMMARY metabolic patterns in atrial fibrillation (AF). We include the result of the PR:PROJECT_SUMMARY global alterations that occur in the intestinal microbiota in a cohort of AF PR:PROJECT_SUMMARY patients and matched controls based on a strategy of metabolomic analyses. Our PR:PROJECT_SUMMARY findings characterize the disordered microbial metabolite profiles in AF. PR:INSTITUTE Beijing Chaoyang Hospital PR:LAST_NAME Zuo PR:FIRST_NAME Kun PR:ADDRESS 8th Gongtinanlu Rd,, Chaoyang District, Beijing, Beijing, 10020, China PR:EMAIL zuokun699@163.com PR:PHONE 10-86-15210511744 #STUDY ST:STUDY_TITLE Alterations in serum metabolic patterns are associated with atrial fibrillation ST:STUDY_SUMMARY Little evidence has been reported in characterizing the serum alterations in ST:STUDY_SUMMARY metabolic patterns in atrial fibrillation (AF). We include the result of the ST:STUDY_SUMMARY global alterations that occur in the intestinal microbiota in a cohort of AF ST:STUDY_SUMMARY patients and matched controls based on a strategy of metabolomic analyses. Our ST:STUDY_SUMMARY findings characterize the disordered microbial metabolite profiles in AF. ST:INSTITUTE Beijing Chaoyang Hospital ST:LAST_NAME Kun ST:FIRST_NAME Zuo ST:ADDRESS 8th Gongtinanlu Rd, Chaoyang District, Beijing, China, 100020 ST:EMAIL zuokun699@163.com ST:PHONE 86-10-15210511744 #SUBJECT SU:SUBJECT_TYPE Human SU:SUBJECT_SPECIES Homo sapiens SU:TAXONOMY_ID 9606 #SUBJECT_SAMPLE_FACTORS: SUBJECT(optional)[tab]SAMPLE[tab]FACTORS(NAME:VALUE pairs separated by |)[tab]Additional sample data SUBJECT_SAMPLE_FACTORS - afb-13 Group:A SUBJECT_SAMPLE_FACTORS - afb-14 Group:A SUBJECT_SAMPLE_FACTORS - afb-15 Group:A SUBJECT_SAMPLE_FACTORS - afb-16 Group:A SUBJECT_SAMPLE_FACTORS - afb-17 Group:A SUBJECT_SAMPLE_FACTORS - afb-18 Group:A SUBJECT_SAMPLE_FACTORS - afb-19 Group:A SUBJECT_SAMPLE_FACTORS - afb-20 Group:A SUBJECT_SAMPLE_FACTORS - afb-21 Group:A SUBJECT_SAMPLE_FACTORS - afb-22 Group:A SUBJECT_SAMPLE_FACTORS - afb-23 Group:A SUBJECT_SAMPLE_FACTORS - afb-24 Group:A SUBJECT_SAMPLE_FACTORS - afb-26 Group:A SUBJECT_SAMPLE_FACTORS - afb-27 Group:A SUBJECT_SAMPLE_FACTORS - afb-28 Group:A SUBJECT_SAMPLE_FACTORS - afb-29 Group:A SUBJECT_SAMPLE_FACTORS - afb-30 Group:A SUBJECT_SAMPLE_FACTORS - afb-31 Group:A SUBJECT_SAMPLE_FACTORS - afb-32 Group:A SUBJECT_SAMPLE_FACTORS - afb-33 Group:A SUBJECT_SAMPLE_FACTORS - afb-34 Group:A SUBJECT_SAMPLE_FACTORS - afb-35 Group:A SUBJECT_SAMPLE_FACTORS - afb-36 Group:A SUBJECT_SAMPLE_FACTORS - afb-37 Group:A SUBJECT_SAMPLE_FACTORS - afb-38 Group:A SUBJECT_SAMPLE_FACTORS - afb-39 Group:A SUBJECT_SAMPLE_FACTORS - afb-40 Group:A SUBJECT_SAMPLE_FACTORS - afb-41 Group:A SUBJECT_SAMPLE_FACTORS - afb-42 Group:A SUBJECT_SAMPLE_FACTORS - A9 Group:C SUBJECT_SAMPLE_FACTORS - A10 Group:C SUBJECT_SAMPLE_FACTORS - A13 Group:C SUBJECT_SAMPLE_FACTORS - A19 Group:C SUBJECT_SAMPLE_FACTORS - A22 Group:C SUBJECT_SAMPLE_FACTORS - A23 Group:C SUBJECT_SAMPLE_FACTORS - A30 Group:C SUBJECT_SAMPLE_FACTORS - A31 Group:C SUBJECT_SAMPLE_FACTORS - A49 Group:C SUBJECT_SAMPLE_FACTORS - A6 Group:C SUBJECT_SAMPLE_FACTORS - A54 Group:C SUBJECT_SAMPLE_FACTORS - A47 Group:C SUBJECT_SAMPLE_FACTORS - A34 Group:C SUBJECT_SAMPLE_FACTORS - A33 Group:C SUBJECT_SAMPLE_FACTORS - B8 Group:C SUBJECT_SAMPLE_FACTORS - A18 Group:C SUBJECT_SAMPLE_FACTORS - B60 Group:C SUBJECT_SAMPLE_FACTORS - B23 Group:C SUBJECT_SAMPLE_FACTORS - B9 Group:C SUBJECT_SAMPLE_FACTORS - B11 Group:C SUBJECT_SAMPLE_FACTORS - B21 Group:C SUBJECT_SAMPLE_FACTORS - B37 Group:C SUBJECT_SAMPLE_FACTORS - B40 Group:C SUBJECT_SAMPLE_FACTORS - B63 Group:C SUBJECT_SAMPLE_FACTORS - B55 Group:C SUBJECT_SAMPLE_FACTORS - A50 Group:C SUBJECT_SAMPLE_FACTORS - B30 Group:C SUBJECT_SAMPLE_FACTORS - B24 Group:C SUBJECT_SAMPLE_FACTORS - A20 Group:C SUBJECT_SAMPLE_FACTORS - B49 Group:C SUBJECT_SAMPLE_FACTORS - B14 Group:C SUBJECT_SAMPLE_FACTORS - A5 Group:C SUBJECT_SAMPLE_FACTORS - B17 Group:C SUBJECT_SAMPLE_FACTORS - B13 Group:C SUBJECT_SAMPLE_FACTORS - B4 Group:C SUBJECT_SAMPLE_FACTORS - B57 Group:C #COLLECTION CO:COLLECTION_SUMMARY Blood samples were collected from each participant, immediately frozen at −20 CO:COLLECTION_SUMMARY °C, transported on ice to the laboratory and then stored at −80 °C. CO:SAMPLE_TYPE Blood (serum) #TREATMENT TR:TREATMENT_SUMMARY To explore how the host metabolic pattern alterations were impacted by the gut TR:TREATMENT_SUMMARY microbiota dysbiosis in AF patients, serum samples were collected and analyzed TR:TREATMENT_SUMMARY by high-throughput liquid chromatography-mass spectrometry (LC/MS). #SAMPLEPREP SP:SAMPLEPREP_SUMMARY The serum samples were thawed at room temperature and 100 μL was pipetted into SP:SAMPLEPREP_SUMMARY centrifuge tubes (1.5 mL) in preparation for extraction. The protein was SP:SAMPLEPREP_SUMMARY precipitated with 300 μL of methanol, and 10 μL of internal standard (2.9 SP:SAMPLEPREP_SUMMARY mg/mL, DL-o-Chlorophenylalanine) was added. The samples were vortexed for 30 s SP:SAMPLEPREP_SUMMARY and centrifuged at 12000 rpm for 15 minat 4 °C. 200 μL of the supernatant was SP:SAMPLEPREP_SUMMARY transferred to a vial for further analysis. #CHROMATOGRAPHY CH:CHROMATOGRAPHY_TYPE Reversed phase MS:INSTRUMENT_NAME Thermo Orbitrap Elite Hybrid Ion Trap-Orbitrap CH:COLUMN_NAME Thermo Hypergod C18 (100 × 4.6 mm 3 µm) #ANALYSIS AN:ANALYSIS_TYPE MS #MS MS:INSTRUMENT_NAME Thermo Orbitrap Elite Hybrid Ion Trap-Orbitrap MS:INSTRUMENT_TYPE Orbitrap MS:MS_TYPE ESI MS:ION_MODE NEGATIVE MS:MS_COMMENTS All metabolomic data were prepared for feature extraction and preprocessed with MS:MS_COMMENTS Compound Discoverer 2.0 software (Thermo). Using SIMCA-P software (Umetrics AB, MS:MS_COMMENTS Umea, Sweden), a multivariate Analysis (MVA) was performed. The exact molecular MS:MS_COMMENTS mass, ppm and ms/ms value of these compounds was used to identify the MS:MS_COMMENTS metabolites related to the featured peak in the Metlin database MS:MS_COMMENTS (http://metlin.scripps.edu). The score value indicated the matching rate was MS:MS_COMMENTS calculated by Compound Discoverer 2.0 software (Thermo) with max of 100. MS:MS_RESULTS_FILE ST001169_AN001934_Results.txt UNITS:feature area Has m/z:Neutral masses Has RT:Yes RT units:Minutes #END