#METABOLOMICS WORKBENCH Yujinlee0421_20210316_224123 DATATRACK_ID:2529 STUDY_ID:ST001727 ANALYSIS_ID:AN002812 PROJECT_ID:PR001107
VERSION             	1
CREATED_ON             	March 24, 2021, 2:44 pm
#PROJECT
PR:PROJECT_TITLE                 	Metabolomics and metagenomics of metformin (Plasma)
PR:PROJECT_SUMMARY               	Metformin affects the gut microbiome and altered microbiota may contribute to
PR:PROJECT_SUMMARY               	the hypoglycemic effect of metformin. Metabolomic analysis can be useful to
PR:PROJECT_SUMMARY               	elucidate the potential underlying mechanisms of the hypoglycemic effect
PR:PROJECT_SUMMARY               	according to the change in the microbiome and metabolites induced by the
PR:PROJECT_SUMMARY               	administration of metformin.
PR:INSTITUTE                     	Seoul National University
PR:DEPARTMENT                    	Department of Clinical Pharmacology and Therapeutics, College of Medicine and
PR:DEPARTMENT                    	Hospital
PR:LABORATORY                    	Metabolomics analysis lab
PR:LAST_NAME                     	Lee
PR:FIRST_NAME                    	Yujin
PR:ADDRESS                       	101 Daehak-ro, Jongno-gu, Seoul 110-799, Korea
PR:EMAIL                         	yoojinlee@snu.ac.kr
PR:PHONE                         	+821033804686
#STUDY
ST:STUDY_TITLE                   	Metabolomics and metagenomics of metformin (Plasma)
ST:STUDY_SUMMARY                 	Metformin affects the gut microbiome and altered microbiota may contribute to
ST:STUDY_SUMMARY                 	the hypoglycemic effect of metformin. Metabolomic analysis can be useful to
ST:STUDY_SUMMARY                 	elucidate the potential underlying mechanisms of the hypoglycemic effect
ST:STUDY_SUMMARY                 	according to the change in the microbiome and metabolites induced by the
ST:STUDY_SUMMARY                 	administration of metformin.
ST:INSTITUTE                     	Seoul National University
ST:DEPARTMENT                    	Department of Clinical Pharmacology and Therapeutics, College of Medicine and
ST:DEPARTMENT                    	Hospital
ST:LAST_NAME                     	Lee
ST:FIRST_NAME                    	Yujin
ST:ADDRESS                       	101 Daehak-ro, Jongno-gu, Seoul 110-799, Korea
ST:EMAIL                         	yoojinlee@snu.ac.kr
ST:PHONE                         	+821033804686
#SUBJECT
SU:SUBJECT_TYPE                  	Human
SU:SUBJECT_SPECIES               	Homo sapiens
SU:TAXONOMY_ID                   	9606
SU:GENDER                        	Male
#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           	R101	R101-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R101-P1_1
SUBJECT_SAMPLE_FACTORS           	R102	R102-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R102-P1_1
SUBJECT_SAMPLE_FACTORS           	R103	R103-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R103-P1_1
SUBJECT_SAMPLE_FACTORS           	R105	R105-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R105-P1_1
SUBJECT_SAMPLE_FACTORS           	R106	R106-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R106-P1_1
SUBJECT_SAMPLE_FACTORS           	R107	R107-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R107-P1_1
SUBJECT_SAMPLE_FACTORS           	R109	R109-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R109-P1_1
SUBJECT_SAMPLE_FACTORS           	R110	R110-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R110-P1_1
SUBJECT_SAMPLE_FACTORS           	R111	R111-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R111-P1_1
SUBJECT_SAMPLE_FACTORS           	R112	R112-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R112-P1_1
SUBJECT_SAMPLE_FACTORS           	R113	R113-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R113-P1_1
SUBJECT_SAMPLE_FACTORS           	R114	R114-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R114-P1_1
SUBJECT_SAMPLE_FACTORS           	R201	R201-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R201-P1_1
SUBJECT_SAMPLE_FACTORS           	R202	R202-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R202-P1_1
SUBJECT_SAMPLE_FACTORS           	R203	R203-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R203-P1_1
SUBJECT_SAMPLE_FACTORS           	R204	R204-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R204-P1_1
SUBJECT_SAMPLE_FACTORS           	R205	R205-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R205-P1_1
SUBJECT_SAMPLE_FACTORS           	R206	R206-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R206-P1_1
SUBJECT_SAMPLE_FACTORS           	R207	R207-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R207-P1_1
SUBJECT_SAMPLE_FACTORS           	R210	R210-P1	Gender:Male | Race:Asian | Group:Control	RAW_FILE_NAME=R210-P1_1
SUBJECT_SAMPLE_FACTORS           	R101	R101-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R101-P2_1
SUBJECT_SAMPLE_FACTORS           	R102	R102-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R102-P2_1
SUBJECT_SAMPLE_FACTORS           	R103	R103-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R103-P2_1
SUBJECT_SAMPLE_FACTORS           	R105	R105-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R105-P2_1
SUBJECT_SAMPLE_FACTORS           	R106	R106-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R106-P2_1
SUBJECT_SAMPLE_FACTORS           	R107	R107-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R107-P2_1
SUBJECT_SAMPLE_FACTORS           	R109	R109-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R109-P2_1
SUBJECT_SAMPLE_FACTORS           	R110	R110-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R110-P2_1
SUBJECT_SAMPLE_FACTORS           	R111	R111-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R111-P2_1
SUBJECT_SAMPLE_FACTORS           	R112	R112-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R112-P2_1
SUBJECT_SAMPLE_FACTORS           	R113	R113-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R113-P2_1
SUBJECT_SAMPLE_FACTORS           	R114	R114-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R114-P2_1
SUBJECT_SAMPLE_FACTORS           	R201	R201-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R201-P2_1
SUBJECT_SAMPLE_FACTORS           	R202	R202-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R202-P2_1
SUBJECT_SAMPLE_FACTORS           	R203	R203-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R203-P2_1
SUBJECT_SAMPLE_FACTORS           	R204	R204-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R204-P2_1
SUBJECT_SAMPLE_FACTORS           	R205	R205-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R205-P2_1
SUBJECT_SAMPLE_FACTORS           	R206	R206-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R206-P2_1
SUBJECT_SAMPLE_FACTORS           	R207	R207-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R207-P2_1
SUBJECT_SAMPLE_FACTORS           	R210	R210-P2	Gender:Male | Race:Asian | Group:Treated	RAW_FILE_NAME=R210-P2_1
#COLLECTION
CO:COLLECTION_SUMMARY            	We recruited and included 20 healthy adult male subjects.
CO:SAMPLE_TYPE                   	Blood (plasma)
#TREATMENT
TR:TREATMENT_SUMMARY             	The subjects received oral metformin 1000mg twice daily.
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	The samples were extracted twice.
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_TYPE           	GC
CH:INSTRUMENT_NAME               	Agilent 7890B
CH:COLUMN_NAME                   	Restek Rtx-5Sil MS (30 x 0.25mm, 0.25um)
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
#MS
MS:INSTRUMENT_NAME               	Leco Pegasus HT TOF
MS:INSTRUMENT_TYPE               	GC-TOF
MS:MS_TYPE                       	EI
MS:ION_MODE                      	NEGATIVE
MS:MS_COMMENTS                   	Leco chroma TOF-GC Software v4.
#MS_METABOLITE_DATA
MS_METABOLITE_DATA:UNITS	intensity
MS_METABOLITE_DATA_START
Samples	R101-P1	R102-P1	R103-P1	R105-P1	R106-P1	R107-P1	R109-P1	R110-P1	R111-P1	R112-P1	R113-P1	R114-P1	R201-P1	R202-P1	R203-P1	R204-P1	R205-P1	R206-P1	R207-P1	R210-P1	R101-P2	R102-P2	R103-P2	R105-P2	R106-P2	R107-P2	R109-P2	R110-P2	R111-P2	R112-P2	R113-P2	R114-P2	R201-P2	R202-P2	R203-P2	R204-P2	R205-P2	R206-P2	R207-P2	R210-P2
Factors	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Control	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated	Gender:Male | Race:Asian | Group:Treated
L-Tyrosine	2.192678	2.366803	2.548533	2.836039	2.00315	2.031724	3.132109	1.738542	2.397763	2.166243	2.489549	2.04119	2.268461	2.040395	2.316013	1.781102	1.946338	2.058353	1.822503	1.930143	2.148589	2.043966	2.28557	2.238807	2.301035	2.060996	2.77097	1.782977	2.332031	2.171032	2.434321	2.209137	2.410898	2.155508	1.711155	1.273629	1.378568	1.947204	1.446183	1.627035
L-Ornithine	1.327423	1.408231	1.208078	1.752391	1.305646	1.372442	1.623994	1.448009	1.257672	1.285745	1.041776	1.325503	1.230597	1.047986	1.490836	0.867444	1.291892	1.133622	0.829059	1.213836	1.381692	1.097187	1.162064	1.394803	1.285319	1.334034	1.239663	1.351586	1.262971	1.180449	1.279053	1.430199	1.233563	1.197847	0.914249	0.622634	1.042072	1.23172	0.773034	0.763342
Tryptophan	3.892955	3.454323	2.958577	3.498353	2.727429	2.723388	4.950747	3.22391	3.856768	3.151155	3.258393	3.025546	1.834282	3.636713	2.97905	2.50108	3.020095	2.590777	3.436286	2.682627	4.077934	2.490081	2.952153	2.699847	3.173615	2.529045	3.686307	2.547906	3.026423	2.856159	2.954757	3.864382	2.508207	3.625251	2.536915	1.832714	2.522076	2.697946	2.451317	2.629282
Palmitoleic acid	0.09939	0.145382	0.185893	0.132962	0.230947	0.306848	0.15398	0.139291	0.123481	0.186299	0.190411	0.109706	0.109991	0.116548	0.156223	0.100271	0.22129	0.181457	0.085518	0.141032	0.081643	0.39893	0.216336	0.230566	0.179881	0.297158	0.108086	0.065184	0.106403	0.32711	0.284706	0.128906	0.108535	0.374579	0.215689	0.280933	0.115848	0.260615	0.132723	0.212684
MS_METABOLITE_DATA_END
#METABOLITES
METABOLITES_START
metabolite_name	PubChem ID	KEGG ID
Palmitoleic acid	5312427	C08362
L-Tyrosine	6057	C00082
L-Ornithine	6262	C00077
Tryptophan	6305	C00078
METABOLITES_END
#END