#METABOLOMICS WORKBENCH hormel101_20170407_134330 DATATRACK_ID:883 STUDY_ID:ST000587 ANALYSIS_ID:AN000902 PROJECT_ID:PR000430
VERSION             	1
CREATED_ON             	April 12, 2017, 12:11 pm
#PROJECT
PR:PROJECT_TITLE                 	Mayo Metabolomics Pilot and Feasibility Award: Metabolomics of Exhaled Breath
PR:PROJECT_TITLE                 	Condensate in Decompensated Heart Failure
PR:PROJECT_SUMMARY               	Metabolomics is a large-scale approach to monitoring as many as possible of the
PR:PROJECT_SUMMARY               	compounds involved in cellular processes in a single assay to derive metabolic
PR:PROJECT_SUMMARY               	profiles. Compared with genomics or proteomics, metabolomics reflects changes in
PR:PROJECT_SUMMARY               	phenotype and therefore function. Nearly all the blood volume-cardiac output in
PR:PROJECT_SUMMARY               	humans flows through the lungs at a rate of 5L/min and traverses through
PR:PROJECT_SUMMARY               	capillaries with a very thin blood-gas barrier (approximately 2μm, 600–800
PR:PROJECT_SUMMARY               	nm; in some places <200 nm) to allow sufficient gas diffusion. However, there is
PR:PROJECT_SUMMARY               	evidence that many other biochemicals from the blood can be found in the exhaled
PR:PROJECT_SUMMARY               	air. Collection of exhaled breath condensate (EBC) is a relatively new,
PR:PROJECT_SUMMARY               	noninvasive method that allows assessment of biochemical profiles that may not
PR:PROJECT_SUMMARY               	only link to airway physiology, but also to other changing processes in the
PR:PROJECT_SUMMARY               	body. The aims of this study are: (1) Working with the Mayo Clinic Metabolomics
PR:PROJECT_SUMMARY               	Resource Core Laboratory to develop the optimal method for performing
PR:PROJECT_SUMMARY               	metabolomics of EBC, (2) Collecting and metabolomic profiling of the EBCs from
PR:PROJECT_SUMMARY               	patients with heart failure; (2) Comparing the profiles of these patients
PR:PROJECT_SUMMARY               	obtained during stable and acute exacerbation periods as well as during recovery
PR:PROJECT_SUMMARY               	from a decompensation; (3) Comparing the profiles of these patients with age and
PR:PROJECT_SUMMARY               	gender matched controls; (4) Correlation of EBC metabolomic profiles with
PR:PROJECT_SUMMARY               	clinical phenotypes. The proposed metabolomics profiles would be obtained from
PR:PROJECT_SUMMARY               	patients involved in IRB approved, ongoing, primarily NIH funded studies focused
PR:PROJECT_SUMMARY               	on understanding pulmonary congestion in heart failure patients. This includes a
PR:PROJECT_SUMMARY               	recently started project capturing patients as they present in the emergency
PR:PROJECT_SUMMARY               	room with decompensated heart failure. Phenotyping for this study includes novel
PR:PROJECT_SUMMARY               	measures of pulmonary capillary recruitment, alveolar-capillary conductance,
PR:PROJECT_SUMMARY               	pulmonary capillary blood volume, thoracic CT imaging combined with in-hospital
PR:PROJECT_SUMMARY               	clinical data, including blood biomarkers such as BNP and catecholamines.
PR:PROJECT_SUMMARY               	Measurements are performed upon admission (within 24hours) and then repeated
PR:PROJECT_SUMMARY               	just prior to dismissal. In addition, we would collect EBC on stable HF patients
PR:PROJECT_SUMMARY               	and in age and gender matched controls healthy controls from our other ongoing
PR:PROJECT_SUMMARY               	studies. The overall aim will be to identify novel patterns or biomarkers for
PR:PROJECT_SUMMARY               	developing a point-of-care test (POC) for tracking disease status in HF
PR:PROJECT_SUMMARY               	patients.
PR:INSTITUTE                     	Mayo Clinic
PR:DEPARTMENT                    	Cardiovascular Diseases
PR:LABORATORY                    	Mayo Metabolomics Core
PR:LAST_NAME                     	Johnson
PR:FIRST_NAME                    	Bruce
PR:ADDRESS                       	200 First St. SW, Rochester, Minnesota, 55905, USA
PR:EMAIL                         	johnson.bruce@mayo.edu
PR:PHONE                         	507-284-4441
#STUDY
ST:STUDY_TITLE                   	Metabolomics of Exhaled Breath Condensate in Decompensated Heart Failure
ST:STUDY_SUMMARY                 	The aim of the study was to test weather characteristic differences or changes
ST:STUDY_SUMMARY                 	in metabolic profile exist between exhaled breath condensate (EBC) and saliva of
ST:STUDY_SUMMARY                 	healthy individuals and heart failure patients. EBC NMR profiling was performed.
ST:INSTITUTE                     	Mayo Clinic
ST:DEPARTMENT                    	Cardiovascular Diseases
ST:LABORATORY                    	Mayo Metabolomics Core
ST:LAST_NAME                     	Johnson
ST:FIRST_NAME                    	Bruce
ST:ADDRESS                       	200 First Street SW, Rochester, MN 55905
ST:EMAIL                         	johnson.bruce@mayo.edu
ST:PHONE                         	507-284-4441
#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           	-	HF01	factor:heart failure	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	HF02	factor:heart failure	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	HF03	factor:heart failure	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	HF04	factor:heart failure	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	HF05	factor:heart failure	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	HF06	factor:heart failure	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	HF07	factor:heart failure	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	HF09	factor:heart failure	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	HF12	factor:heart failure	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	HF13	factor:heart failure	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	HF17	factor:heart failure	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	C10	factor:control	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	C11	factor:control	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	C14	factor:control	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	C15	factor:control	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	C16	factor:control	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	C18	factor:control	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	C19	factor:control	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	C20	factor:control	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	C21	factor:control	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	C22	factor:control	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	C23	factor:control	type=EBC
SUBJECT_SAMPLE_FACTORS           	-	C24	factor:control	type=EBC
#COLLECTION
CO:COLLECTION_SUMMARY            	The samples were collected in Dr. Bruce Johnson lab, at the Department of
CO:COLLECTION_SUMMARY            	Cardiovascular Diseases, Mayo Clinic. EBC samples were collected using Jaeger
CO:COLLECTION_SUMMARY            	EcoScreen cooling unit (-20°C). Patients were breathing through mouth piece
CO:COLLECTION_SUMMARY            	while wearing a nose clip during 30 minutes. Saliva was collected from the same
CO:COLLECTION_SUMMARY            	patients during last 15 minutes. The samples were frozen immediately after
CO:COLLECTION_SUMMARY            	collection.
#TREATMENT
TR:TREATMENT_SUMMARY             	We will focus initially on patients with classic systolic HF who are admitted to
TR:TREATMENT_SUMMARY             	St Mary’s Hospital with decompensated disease. These patients are currently
TR:TREATMENT_SUMMARY             	being studied to quantify changes in lung water during the “recompensation”
TR:TREATMENT_SUMMARY             	diuresis in the hospital and the related changes in alveolar gas conductance and
TR:TREATMENT_SUMMARY             	breathing pattern to develop a predictive algorithm for likelihood of
TR:TREATMENT_SUMMARY             	readmission, but also to obtain a better understanding of fluid regulation in
TR:TREATMENT_SUMMARY             	the lungs. As these subjects are recruited, we will recruit age and sex matched
TR:TREATMENT_SUMMARY             	stable HF patients going through similar testing in parallel running studies as
TR:TREATMENT_SUMMARY             	well as age and sex matched control subjects. We will target 12 subjects per
TR:TREATMENT_SUMMARY             	group and in addition to the EBC collection we will obtain saliva samples and
TR:TREATMENT_SUMMARY             	blood at the same time points.
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	EBC: Transfer 800μl aliquots of EBC samples into a 1.5ml microcentrifuge tubes
SP:SAMPLEPREP_SUMMARY            	and dry down (lyophilize) each sample in a centrifugal vacuum evaporator for 4-6
SP:SAMPLEPREP_SUMMARY            	h. Apply no heating during the drying process. In the dried EBC samples add
SP:SAMPLEPREP_SUMMARY            	250μl of phosphate buffer and 250μl of 4mM TSP-d4 solution. Vortex for 20 s.
SP:SAMPLEPREP_SUMMARY            	Transfer the solution to 5mm NMR tube.
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_TYPE           	-
CH:INSTRUMENT_NAME               	-
CH:COLUMN_NAME                   	-
#ANALYSIS
AN:ANALYSIS_TYPE                 	NMR
#NMR
NM:INSTRUMENT_NAME               	Bruker 600 MHz Avance III HD spectrometer
NM:INSTRUMENT_TYPE               	FT-NMR
NM:NMR_EXPERIMENT_TYPE           	1D-1H
NM:SPECTROMETER_FREQUENCY        	600 MHz
#NMR_METABOLITE_DATA
NMR_METABOLITE_DATA:UNITS        	uM
NMR_METABOLITE_DATA_START
Samples	HF01	HF02	HF03	HF04	HF05	HF06	HF07	HF09	HF12	HF13	HF17	C10	C11	C14	C15	C16	C18	C19	C20	C21	C22	C23	C24
Factors	factor:heart failure	factor:heart failure	factor:heart failure	factor:heart failure	factor:heart failure	factor:heart failure	factor:heart failure	factor:heart failure	factor:heart failure	factor:heart failure	factor:heart failure	factor:control	factor:control	factor:control	factor:control	factor:control	factor:control	factor:control	factor:control	factor:control	factor:control	factor:control	factor:control
Acetate	73.8	193.8	47.7	123.9	142.2	80.6	64.2	67.7	57.6	19.6	179.7	69.4	201.4	203.1	40.1	183.7	290.8	55.8	33.4	199.4	152.5	132.3	168.6
Acetone	1.1	0.9	0.6	0	0.8	0.9	0	0.9	1.9	1.8	1	0	0.8	0	0.7	1.7	4.3	2	1.6	0	1.6	1.6	1.9
Ethylene glycol	4.5	3.7	2.4	7.2	2.6	2.1	3.8	1.8	1.7	1.6	0	4.2	2.7	0	1.4	2.3	0	3.1	1.4	0	3.7	1.9	6.7
Formate	36.2	19.5	19.7	53.6	26.6	17.1	27.5	17	21.9	18.7	0	25.8	24.2	45.5	22.6	55.7	59	19.3	17	44.5	51.1	26.3	48.9
Isopropanol	0	1.2	0.7	0	0	0.8	0	0	0.9	0	0	0	0	0	0.8	0	0	0	0	0	1.4	0	0
Lactate	4.3	3.3	3.1	10.6	49.7	20.4	5.7	3.2	4.4	4.2	11.3	19.9	7	0	6.9	4	43.2	7.6	4	91.2	4.4	5.2	141.1
Methanol	20.7	20.5	0	19.9	21	20.5	20.7	20.4	22.7	22.7	13	20.2	20.6	20.1	20.9	24.2	21.2	22.4	21.4	13.9	22.4	22.5	23.2
Propionate	12.1	43.8	4.2	8.3	15.4	14.7	4.8	14.1	7.9	0	0	0	55.8	54.7	5.1	17.9	43.7	7.2	0	26.1	17	21.5	22.6
Pyruvate	0	7.9	7.4	0	1.8	0	8.7	8.5	0	0	6.4	8.2	0	0	7.6	10.6	0	12.8	9.3	0	0	0	4.7
NMR_METABOLITE_DATA_END
#METABOLITES
METABOLITES_START
metabolite_name
Acetate
Acetone
Ethylene glycol
Formate
Isopropanol
Lactate
Methanol
Propionate
Pyruvate
METABOLITES_END
#END