#METABOLOMICS WORKBENCH yuehaitao_20250317_203500 DATATRACK_ID:5734 STUDY_ID:ST003811 ANALYSIS_ID:AN006266 PROJECT_ID:PR002384
VERSION             	1
CREATED_ON             	March 25, 2025, 1:38 pm
#PROJECT
PR:PROJECT_TITLE                 	Characterisation of the gut microbiome in hypertensive and type II diabetic
PR:PROJECT_TITLE                 	populations in different regions of Xinjiang
PR:PROJECT_SUMMARY               	In this study, the diversity of gut microbial profiles and their associations
PR:PROJECT_SUMMARY               	with dietary habits and metabolites in different ethnic groups and disease
PR:PROJECT_SUMMARY               	states were revealed through gut microbiome and metabolomic analyses of 192
PR:PROJECT_SUMMARY               	healthy and diseased people (including hypertension, type II diabetes and their
PR:PROJECT_SUMMARY               	co-morbidities) in Xinjiang.It was found that the dominant genus in the Hui
PR:PROJECT_SUMMARY               	group was Faecalibacterium, while the Uyghur group was dominated by Prevotella,
PR:PROJECT_SUMMARY               	which is different from the previously reported distribution of enterotypes.
PR:INSTITUTE                     	Xinjiang University
PR:LABORATORY                    	Laboratory of Synthetic Biology, Xinjiang University
PR:LAST_NAME                     	Yue
PR:FIRST_NAME                    	Haitao
PR:ADDRESS                       	Yushugou Street, Shuimogou District, Urumqi City, Xinjiang Province
PR:EMAIL                         	yuehaitao@tsinghua.org.cn
PR:PHONE                         	13639932226
#STUDY
ST:STUDY_TITLE                   	Characterisation of the gut microbiome in hypertensive and type II diabetic
ST:STUDY_TITLE                   	populations in different regions of Xinjiang
ST:STUDY_SUMMARY                 	In this study, the diversity of gut microbial profiles and their associations
ST:STUDY_SUMMARY                 	with dietary habits and metabolites in different ethnic groups and disease
ST:STUDY_SUMMARY                 	states were revealed through gut microbiome and metabolomic analyses of 192
ST:STUDY_SUMMARY                 	healthy and diseased people (including hypertension, type II diabetes and their
ST:STUDY_SUMMARY                 	co-morbidities) in Xinjiang.It was found that the dominant genus in the Hui
ST:STUDY_SUMMARY                 	group was Faecalibacterium, while the Uyghur group was dominated by Prevotella,
ST:STUDY_SUMMARY                 	which is different from the previously reported distribution of enterotypes.The
ST:STUDY_SUMMARY                 	abundance of Prevotella was significantly higher in hypertensive patients and
ST:STUDY_SUMMARY                 	positively correlated with a high-salt diet, and the abundance of
ST:STUDY_SUMMARY                 	Bifidobacterium adolescentis was significantly higher in patients with type II
ST:STUDY_SUMMARY                 	diabetes.By integrative analysis of multi-omics data, we further found that
ST:STUDY_SUMMARY                 	changes in the proportion of specific microorganisms (e.g.
ST:STUDY_SUMMARY                 	Coriobacteriales_bacterium and Dorea_formicigenerans) in disease-comorbid states
ST:STUDY_SUMMARY                 	were strongly associated with significant differences in urinary metabolites
ST:STUDY_SUMMARY                 	(e.g. L-carnitine and hydroxycinnamic acid).In addition, metabolic pathway
ST:STUDY_SUMMARY                 	analyses revealed significant alterations in glycolysis/glycolysis,
ST:STUDY_SUMMARY                 	phenylalanine metabolism, and other pathways in the disease state.This study
ST:STUDY_SUMMARY                 	systematically reveals for the first time the gut microbiome and metabolome
ST:STUDY_SUMMARY                 	characteristics of healthy and diseased populations of different ethnic groups
ST:STUDY_SUMMARY                 	in Xinjiang region, which provides a new perspective for understanding the role
ST:STUDY_SUMMARY                 	of gut microbes in metabolic diseases and potential scientific basis for early
ST:STUDY_SUMMARY                 	diagnosis and personalised treatment of diseases. Future studies will further
ST:STUDY_SUMMARY                 	combine multi-omics technology and longitudinal design to comprehensively reveal
ST:STUDY_SUMMARY                 	the interactions among factors and specific mechanisms.
ST:INSTITUTE                     	Xinjiang University
ST:LABORATORY                    	Laboratory of Synthetic Biology
ST:LAST_NAME                     	Yue
ST:FIRST_NAME                    	Haitao
ST:ADDRESS                       	Yushugou Street, Shuimogou District, Urumqi City, Xinjiang Province
ST:EMAIL                         	yuehaitao@tsinghua.org.cn
ST:PHONE                         	13639932226
#SUBJECT
SU:SUBJECT_TYPE                  	Human
SU:SUBJECT_SPECIES               	Homo sapiens
SU:TAXONOMY_ID                   	9606
SU:GENDER                        	Female
#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           	KBFE_76	KBFE_76	Sample source:Human blood | ethnic group:Kazak	RAW_FILE_NAME(RAW-FILE-NAME)=KBFE_76.raw; region=Changji; age=40-59; BMI=33.33
SUBJECT_SAMPLE_FACTORS           	KBFV_97	KBFV_97	Sample source:Human blood | ethnic group:Kazak	RAW_FILE_NAME(RAW-FILE-NAME)=KBFV_97.raw; region=Changji; age=40-59; BMI=23.88
SUBJECT_SAMPLE_FACTORS           	KBFV_103	KBFV_103	Sample source:Human blood | ethnic group:Kazak	RAW_FILE_NAME(RAW-FILE-NAME)=KBFV_103.raw; region=Changji; age=40-59; BMI=24.34
SUBJECT_SAMPLE_FACTORS           	KBFV_204	KBFV_204	Sample source:Human blood | ethnic group:Kazak	RAW_FILE_NAME(RAW-FILE-NAME)=KBFV_204.raw; region=Changji; age=40-59; BMI=25.71
SUBJECT_SAMPLE_FACTORS           	KBFV_285	KBFV_285	Sample source:Human blood | ethnic group:Kazak	RAW_FILE_NAME(RAW-FILE-NAME)=KBFV_285.raw; region=Changji; age=60-79; BMI=28.01
SUBJECT_SAMPLE_FACTORS           	UQFE_28	UQFE_28	Sample source:Human blood | ethnic group:Uyghurs	RAW_FILE_NAME(RAW-FILE-NAME)=UQFE_28.raw; region=Kashi; age=60-79; BMI=27.77
SUBJECT_SAMPLE_FACTORS           	UQFE_40	UQFE_40	Sample source:Human blood | ethnic group:Uyghurs	RAW_FILE_NAME(RAW-FILE-NAME)=UQFE_40.raw; region=Kashi; age=60-79; BMI=29.38
SUBJECT_SAMPLE_FACTORS           	UQFV_67	UQFV_67	Sample source:Human blood | ethnic group:Uyghurs	RAW_FILE_NAME(RAW-FILE-NAME)=UQFV_67.raw; region=Kashi; age=40-59; BMI=27.72
SUBJECT_SAMPLE_FACTORS           	UQFV_102	UQFV_102	Sample source:Human blood | ethnic group:Uyghurs	RAW_FILE_NAME(RAW-FILE-NAME)=UQFV_102.raw; region=Kashi; age=40-59; BMI=21.45
SUBJECT_SAMPLE_FACTORS           	UQFV_194	UQFV_194	Sample source:Human blood | ethnic group:Uyghurs	RAW_FILE_NAME(RAW-FILE-NAME)=UQFV_194.raw; region=Kashi; age=40-59; BMI=17.91
#COLLECTION
CO:COLLECTION_SUMMARY            	Blood samples: Also collected before breakfast, blood is taken using a sterile
CO:COLLECTION_SUMMARY            	needle and the blood is quickly drawn into a sterile blood collection tube. A
CO:COLLECTION_SUMMARY            	moderate amount of blood (5-10 ml) usually needs to be drawn. Make sure the
CO:COLLECTION_SUMMARY            	collection environment is clean. Seal the collected blood sample in a sterile
CO:COLLECTION_SUMMARY            	container and store it in a dry freezer to ensure that the container does not
CO:COLLECTION_SUMMARY            	leak. In order to separate the different components of the blood, the blood
CO:COLLECTION_SUMMARY            	collection tube containing the blood sample is placed in a centrifuge and the
CO:COLLECTION_SUMMARY            	collected blood sample is centrifuged at a speed of 1000 - 3000 rpm.
CO:COLLECTION_PROTOCOL_ID        	KY2023060173
CO:SAMPLE_TYPE                   	Blood (plasma)
CO:STORAGE_CONDITIONS            	-80°C
#TREATMENT
TR:TREATMENT_SUMMARY             	No treatment.
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	1. Thaw the experimental samples at 4°C, vortex the samples for 1 min after
SP:SAMPLEPREP_SUMMARY            	thawing, and mix well. 2. Accurately pipette the appropriate amount of sample
SP:SAMPLEPREP_SUMMARY            	into a 2 mL centrifuge tube and add 100 μL of 2-chloro-L-phenylalanine prepared
SP:SAMPLEPREP_SUMMARY            	with 80% methanol water (4 ppm), vortex for 1 min; 3. Centrifuge at 12000 rpm at
SP:SAMPLEPREP_SUMMARY            	4°C for 10 min, take the supernatant and filter through a 0.22 μm membrane,
SP:SAMPLEPREP_SUMMARY            	and add the filtrate to the detection bottle for use LC-MS assays.
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_SUMMARY        	neg：Solvent A is 0% acetonitrile / 100% water; 5 mmol/L ammonium formate;
CH:CHROMATOGRAPHY_SUMMARY        	neg：Solvent B is 100% acetonitrile / 0% water; 0 mmol ammonium formate per
CH:CHROMATOGRAPHY_SUMMARY        	liter;
CH:CHROMATOGRAPHY_TYPE           	Reversed phase
CH:INSTRUMENT_NAME               	Thermo Vanquish
CH:COLUMN_NAME                   	Waters ACQUITY UPLC HSS T3 (100 x 2.1mm,1.8um)
CH:SOLVENT_A                     	100% water; 5mM ammonium formate
CH:SOLVENT_B                     	100% acetonitrile
CH:FLOW_GRADIENT                 	0 to 1 minute, 8% B; 1 to 8 minutes, B increases linearly from 8% to 98%; 8 to
CH:FLOW_GRADIENT                 	10 minutes, 98% B; 10 to 10.1 minutes, B from 98% to 8%; 10.1 to 12 minutes, 8%
CH:FLOW_GRADIENT                 	B.
CH:FLOW_RATE                     	0.3 mL/min
CH:COLUMN_TEMPERATURE            	40 ℃
CH:METHODS_FILENAME              	Chromatographic_experiments.pdf
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
AN:ANALYSIS_PROTOCOL_FILE        	Chromatographic_experiments.pdf
#MS
MS:INSTRUMENT_NAME               	Thermo Orbitrap Exploris 120
MS:INSTRUMENT_TYPE               	Orbitrap
MS:MS_TYPE                       	ESI
MS:ION_MODE                      	NEGATIVE
MS:MS_COMMENTS                   	Simultaneous MS1 and MS/MS (Full MS-ddMS2 mode, data-dependent MS/MS)
MS:MS_COMMENTS                   	acquisition was used. The parameters were as follows: sheath gas pressure, 40
MS:MS_COMMENTS                   	arb; aux gas flow, 10 arb; spray voltage, 3.50 kV and -2.50 kV for ESI(-),
MS:MS_COMMENTS                   	respectively; capillary temperature, 325 ℃; MS1 range, m/z 100-1000; MS1
MS:MS_COMMENTS                   	resolving power, 60000 FWHM; number of data dependant scans per cycle, 4; MS/MS
MS:MS_COMMENTS                   	resolving power, 15000FWHM; normalized collision energy, 30%; dynamic exclusion
MS:MS_COMMENTS                   	time, automatic
MS:MS_RESULTS_FILE               	ST003811_AN006266_Results.txt	UNITS:N/A	Has m/z:Yes	Has RT:Yes	RT units:Seconds
#END