#METABOLOMICS WORKBENCH Mahamogren_20230810_093747 DATATRACK_ID:4216 STUDY_ID:ST002811 ANALYSIS_ID:AN004572 PROJECT_ID:PR001758
VERSION             	1
CREATED_ON             	August 14, 2023, 9:28 am
#PROJECT
PR:PROJECT_TITLE                 	Metabolomics panel associated with cystic fibrosis-related diabetes towards
PR:PROJECT_TITLE                 	biomarker discovery
PR:PROJECT_SUMMARY               	Background: The most prevalent comorbidity among cystic fibrosis (CF) patients
PR:PROJECT_SUMMARY               	is cystic fibrosis-related diabetes (CFRD). CFRD has been linked to one of the
PR:PROJECT_SUMMARY               	worse clinical outcomes and higher mortality. Improved clinical results have
PR:PROJECT_SUMMARY               	been related to earlier diagnosis and treatment of CFRD. Therefore, the present
PR:PROJECT_SUMMARY               	study aimed to investigate the metabolome of human serum of patients with CFRD.
PR:PROJECT_SUMMARY               	This might aid in identifying novel biomarkers linked with the pathophysiology
PR:PROJECT_SUMMARY               	of CFRD and its diagnosis. Methods: The liquid chromatography–high-resolution
PR:PROJECT_SUMMARY               	mass spectrometry (LC–HRMS) metabolomics approach was utilized for serum
PR:PROJECT_SUMMARY               	samples from patients with CF (n= 36) and healthy control (n=36). Among the CF
PR:PROJECT_SUMMARY               	group, nine patients were with CFRD and 27 were non-CFRD (nCFRD). Results: A
PR:PROJECT_SUMMARY               	total of 2328 metabolites were significantly altered in CF compared to the
PR:PROJECT_SUMMARY               	healthy control. Among those, 799 significantly dysregulated metabolites were
PR:PROJECT_SUMMARY               	identified between CFRD and nCFRD. Arachidonic acid (AA), ascorbate, and
PR:PROJECT_SUMMARY               	aldarate metabolism were the most common metabolic pathways dysregulated in CF.
PR:PROJECT_SUMMARY               	L-homocysteic acid (L-HCA) levels were significantly reduced in CF and CFRD
PR:PROJECT_SUMMARY               	compared to control and nCFRD, respectively. In addition, gamma-glutamylglycine
PR:PROJECT_SUMMARY               	and L-5-hydroxytryptophan (5-HTP) had the highest discrimination between CFRD
PR:PROJECT_SUMMARY               	and nCFRD with AUC (0.716 and 0.683, respectively). Conclusions: These
PR:PROJECT_SUMMARY               	biomarkers might serve as diagnostic biomarkers and aid in understanding
PR:PROJECT_SUMMARY               	potential metabolic changes linked to CF and CFRD.
PR:INSTITUTE                     	King Faisal Specialist Hospital and Research Centre (KFSHRC)
PR:LAST_NAME                     	Al Mogren
PR:FIRST_NAME                    	Maha
PR:ADDRESS                       	Zahrawi Street, Al Maather, Riyadh 11211, Saudi Arabia
PR:EMAIL                         	mmogren@kfshrc.edu.sa
PR:PHONE                         	966541205332
#STUDY
ST:STUDY_TITLE                   	Metabolomics panel associated with cystic fibrosis-related diabetes towards
ST:STUDY_TITLE                   	biomarker discovery
ST:STUDY_SUMMARY                 	Background: The most prevalent comorbidity among cystic fibrosis (CF) patients
ST:STUDY_SUMMARY                 	is cystic fibrosis-related diabetes (CFRD). CFRD has been linked to one of the
ST:STUDY_SUMMARY                 	worse clinical outcomes and higher mortality. Improved clinical results have
ST:STUDY_SUMMARY                 	been related to earlier diagnosis and treatment of CFRD. Therefore, the present
ST:STUDY_SUMMARY                 	study aimed to investigate the metabolome of human serum of patients with CFRD.
ST:STUDY_SUMMARY                 	This might aid in identifying novel biomarkers linked with the pathophysiology
ST:STUDY_SUMMARY                 	of CFRD and its diagnosis. Methods: The liquid chromatography–high-resolution
ST:STUDY_SUMMARY                 	mass spectrometry (LC–HRMS) metabolomics approach was utilized for serum
ST:STUDY_SUMMARY                 	samples from patients with CF (n= 36) and healthy control (n=36). Among the CF
ST:STUDY_SUMMARY                 	group, nine patients were with CFRD and 27 were non-CFRD (nCFRD). Results: A
ST:STUDY_SUMMARY                 	total of 2328 metabolites were significantly altered in CF compared to the
ST:STUDY_SUMMARY                 	healthy control. Among those, 799 significantly dysregulated metabolites were
ST:STUDY_SUMMARY                 	identified between CFRD and nCFRD. Arachidonic acid (AA), ascorbate, and
ST:STUDY_SUMMARY                 	aldarate metabolism were the most common metabolic pathways dysregulated in CF.
ST:STUDY_SUMMARY                 	L-homocysteic acid (L-HCA) levels were significantly reduced in CF and CFRD
ST:STUDY_SUMMARY                 	compared to control and nCFRD, respectively. In addition, gamma-glutamylglycine
ST:STUDY_SUMMARY                 	and L-5-hydroxytryptophan (5-HTP) had the highest discrimination between CFRD
ST:STUDY_SUMMARY                 	and nCFRD with AUC (0.716 and 0.683, respectively). Conclusions: These
ST:STUDY_SUMMARY                 	biomarkers might serve as diagnostic biomarkers and aid in understanding
ST:STUDY_SUMMARY                 	potential metabolic changes linked to CF and CFRD.
ST:INSTITUTE                     	King Faisal Specialist Hospital and Research Centre (KFSHRC)
ST:LAST_NAME                     	Al Mogren
ST:FIRST_NAME                    	Maha
ST:ADDRESS                       	Zahrawi Street, Al Maather, Riyadh 11211, Saudi Arabia
ST:EMAIL                         	mmogren@kfshrc.edu.sa
ST:PHONE                         	966541205332
#SUBJECT
SU:SUBJECT_TYPE                  	Human
SU:SUBJECT_SPECIES               	Homo sapiens
SU:TAXONOMY_ID                   	9606
SU:GENDER                        	Male and female
#FACTORS
#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           	-	Ctrl1	Factor:Control	RAW_FILE_NAME=Ctrl1
SUBJECT_SAMPLE_FACTORS           	-	Ctrl2	Factor:Control	RAW_FILE_NAME=Ctrl2
SUBJECT_SAMPLE_FACTORS           	-	Ctrl3	Factor:Control	RAW_FILE_NAME=Ctrl3
SUBJECT_SAMPLE_FACTORS           	-	Ctrl4	Factor:Control	RAW_FILE_NAME=Ctrl4
SUBJECT_SAMPLE_FACTORS           	-	Ctrl5	Factor:Control	RAW_FILE_NAME=Ctrl5
SUBJECT_SAMPLE_FACTORS           	-	Ctrl6	Factor:Control	RAW_FILE_NAME=Ctrl6
SUBJECT_SAMPLE_FACTORS           	-	Ctrl7	Factor:Control	RAW_FILE_NAME=Ctrl7
SUBJECT_SAMPLE_FACTORS           	-	Ctrl8	Factor:Control	RAW_FILE_NAME=Ctrl8
SUBJECT_SAMPLE_FACTORS           	-	Ctrl9	Factor:Control	RAW_FILE_NAME=Ctrl9
SUBJECT_SAMPLE_FACTORS           	-	Ctrl10	Factor:Control	RAW_FILE_NAME=Ctrl10
SUBJECT_SAMPLE_FACTORS           	-	Ctrl11	Factor:Control	RAW_FILE_NAME=Ctrl11
SUBJECT_SAMPLE_FACTORS           	-	Ctrl12	Factor:Control	RAW_FILE_NAME=Ctrl12
SUBJECT_SAMPLE_FACTORS           	-	Ctrl13	Factor:Control	RAW_FILE_NAME=Ctrl13
SUBJECT_SAMPLE_FACTORS           	-	Ctrl14	Factor:Control	RAW_FILE_NAME=Ctrl14
SUBJECT_SAMPLE_FACTORS           	-	Ctrl15	Factor:Control	RAW_FILE_NAME=Ctrl15
SUBJECT_SAMPLE_FACTORS           	-	Ctrl16	Factor:Control	RAW_FILE_NAME=Ctrl16
SUBJECT_SAMPLE_FACTORS           	-	Ctrl17	Factor:Control	RAW_FILE_NAME=Ctrl17
SUBJECT_SAMPLE_FACTORS           	-	Ctrl18	Factor:Control	RAW_FILE_NAME=Ctrl18
SUBJECT_SAMPLE_FACTORS           	-	Ctrl19	Factor:Control	RAW_FILE_NAME=Ctrl19
SUBJECT_SAMPLE_FACTORS           	-	Ctrl20	Factor:Control	RAW_FILE_NAME=Ctrl20
SUBJECT_SAMPLE_FACTORS           	-	Ctrl21	Factor:Control	RAW_FILE_NAME=Ctrl21
SUBJECT_SAMPLE_FACTORS           	-	Ctrl22	Factor:Control	RAW_FILE_NAME=Ctrl22
SUBJECT_SAMPLE_FACTORS           	-	Ctrl23	Factor:Control	RAW_FILE_NAME=Ctrl23
SUBJECT_SAMPLE_FACTORS           	-	Ctrl24	Factor:Control	RAW_FILE_NAME=Ctrl24
SUBJECT_SAMPLE_FACTORS           	-	Ctrl25	Factor:Control	RAW_FILE_NAME=Ctrl25
SUBJECT_SAMPLE_FACTORS           	-	Ctrl26	Factor:Control	RAW_FILE_NAME=Ctrl26
SUBJECT_SAMPLE_FACTORS           	-	Ctrl27	Factor:Control	RAW_FILE_NAME=Ctrl27
SUBJECT_SAMPLE_FACTORS           	-	Ctrl28	Factor:Control	RAW_FILE_NAME=Ctrl28
SUBJECT_SAMPLE_FACTORS           	-	Ctrl29	Factor:Control	RAW_FILE_NAME=Ctrl29
SUBJECT_SAMPLE_FACTORS           	-	Ctrl30	Factor:Control	RAW_FILE_NAME=Ctrl30
SUBJECT_SAMPLE_FACTORS           	-	Ctrl31	Factor:Control	RAW_FILE_NAME=Ctrl31
SUBJECT_SAMPLE_FACTORS           	-	Ctrl32	Factor:Control	RAW_FILE_NAME=Ctrl32
SUBJECT_SAMPLE_FACTORS           	-	Ctrl33	Factor:Control	RAW_FILE_NAME=Ctrl33
SUBJECT_SAMPLE_FACTORS           	-	Ctrl34	Factor:Control	RAW_FILE_NAME=Ctrl34
SUBJECT_SAMPLE_FACTORS           	-	Ctrl35	Factor:Control	RAW_FILE_NAME=Ctrl35
SUBJECT_SAMPLE_FACTORS           	-	Ctrl36	Factor:Control	RAW_FILE_NAME=Ctrl36
SUBJECT_SAMPLE_FACTORS           	-	CF1	Factor:Patient	RAW_FILE_NAME=CF1
SUBJECT_SAMPLE_FACTORS           	-	CF2	Factor:Patient	RAW_FILE_NAME=CF2
SUBJECT_SAMPLE_FACTORS           	-	CF3	Factor:Patient	RAW_FILE_NAME=CF3
SUBJECT_SAMPLE_FACTORS           	-	CF4	Factor:Patient	RAW_FILE_NAME=CF4
SUBJECT_SAMPLE_FACTORS           	-	CF5	Factor:Patient	RAW_FILE_NAME=CF5
SUBJECT_SAMPLE_FACTORS           	-	CF6	Factor:Patient	RAW_FILE_NAME=CF6
SUBJECT_SAMPLE_FACTORS           	-	CF7	Factor:Patient	RAW_FILE_NAME=CF7
SUBJECT_SAMPLE_FACTORS           	-	CF8	Factor:Patient	RAW_FILE_NAME=CF8
SUBJECT_SAMPLE_FACTORS           	-	CF9	Factor:Patient	RAW_FILE_NAME=CF9
SUBJECT_SAMPLE_FACTORS           	-	CF10	Factor:Patient	RAW_FILE_NAME=CF10
SUBJECT_SAMPLE_FACTORS           	-	CF11	Factor:Patient	RAW_FILE_NAME=CF11
SUBJECT_SAMPLE_FACTORS           	-	CF12	Factor:Patient	RAW_FILE_NAME=CF12
SUBJECT_SAMPLE_FACTORS           	-	CF13	Factor:Patient	RAW_FILE_NAME=CF13
SUBJECT_SAMPLE_FACTORS           	-	CF14	Factor:Patient	RAW_FILE_NAME=CF14
SUBJECT_SAMPLE_FACTORS           	-	CF17	Factor:Patient	RAW_FILE_NAME=CF17
SUBJECT_SAMPLE_FACTORS           	-	CF18	Factor:Patient	RAW_FILE_NAME=CF18
SUBJECT_SAMPLE_FACTORS           	-	CF19	Factor:Patient	RAW_FILE_NAME=CF19
SUBJECT_SAMPLE_FACTORS           	-	CF20	Factor:Patient	RAW_FILE_NAME=CF20
SUBJECT_SAMPLE_FACTORS           	-	CF21	Factor:Patient	RAW_FILE_NAME=CF21
SUBJECT_SAMPLE_FACTORS           	-	CF25	Factor:Patient	RAW_FILE_NAME=CF25
SUBJECT_SAMPLE_FACTORS           	-	CF26	Factor:Patient	RAW_FILE_NAME=CF26
SUBJECT_SAMPLE_FACTORS           	-	CF27	Factor:Patient	RAW_FILE_NAME=CF27
SUBJECT_SAMPLE_FACTORS           	-	CF28	Factor:Patient	RAW_FILE_NAME=CF28
SUBJECT_SAMPLE_FACTORS           	-	CF29	Factor:Patient	RAW_FILE_NAME=CF29
SUBJECT_SAMPLE_FACTORS           	-	CF30	Factor:Patient	RAW_FILE_NAME=CF30
SUBJECT_SAMPLE_FACTORS           	-	CF31	Factor:Patient	RAW_FILE_NAME=CF31
SUBJECT_SAMPLE_FACTORS           	-	CF33	Factor:Patient	RAW_FILE_NAME=CF33
SUBJECT_SAMPLE_FACTORS           	-	CF34	Factor:Patient	RAW_FILE_NAME=CF34
SUBJECT_SAMPLE_FACTORS           	-	CF35	Factor:Patient	RAW_FILE_NAME=CF35
SUBJECT_SAMPLE_FACTORS           	-	CF36	Factor:Patient	RAW_FILE_NAME=CF36
SUBJECT_SAMPLE_FACTORS           	-	CF37	Factor:Patient	RAW_FILE_NAME=CF37
SUBJECT_SAMPLE_FACTORS           	-	CF38	Factor:Patient	RAW_FILE_NAME=CF38
SUBJECT_SAMPLE_FACTORS           	-	CF39	Factor:Patient	RAW_FILE_NAME=CF39
SUBJECT_SAMPLE_FACTORS           	-	CF40	Factor:Patient	RAW_FILE_NAME=CF40
SUBJECT_SAMPLE_FACTORS           	-	CF41	Factor:Patient	RAW_FILE_NAME=CF41
SUBJECT_SAMPLE_FACTORS           	-	CF42	Factor:Patient	RAW_FILE_NAME=CF42
#COLLECTION
CO:COLLECTION_SUMMARY            	CF patients (n=36) and age- and gender-matched healthy controls (n=36) were
CO:COLLECTION_SUMMARY            	enrolled in this study. Among 36 patients with CF, nine patients had CFRD. The
CO:COLLECTION_SUMMARY            	institutional review board at King Faisal Specialist Hospital and Research
CO:COLLECTION_SUMMARY            	Center (KFSHRC) approved this study (RAC# 2160 031). The exclusion criteria were
CO:COLLECTION_SUMMARY            	patients who participated in other clinical studies in the last 30 days and were
CO:COLLECTION_SUMMARY            	unable or unwilling to provide informed consent. The samples were collected as
CO:COLLECTION_SUMMARY            	previously described [17]. In brief, blood samples were taken from adult CF
CO:COLLECTION_SUMMARY            	patients who visited the adult CF-Pulmonology clinic at the King Faisal
CO:COLLECTION_SUMMARY            	Specialist Hospital and Research Center (KFSHRC) in Riyadh, Saudi Arabia. The
CO:COLLECTION_SUMMARY            	samples were centrifugated to separate the serum and frozen at −80 ◦C for
CO:COLLECTION_SUMMARY            	further analysis.
CO:COLLECTION_PROTOCOL_FILENAME  	CF_Sample Collection
CO:SAMPLE_TYPE                   	Blood (plasma)
#TREATMENT
TR:TREATMENT_SUMMARY             	None
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	A standard procedure was used for metabolite extraction [18]. Briefly,
SP:SAMPLEPREP_SUMMARY            	metabolites were extracted from plasma samples by adding an extraction solvent
SP:SAMPLEPREP_SUMMARY            	of ACN: MeOH (1:1) followed by vortexing at 600 rpm, 4 °C for 1 hour in
SP:SAMPLEPREP_SUMMARY            	Thermomixer (Eppendorf, Germany). The samples were then centrifugated at 16000
SP:SAMPLEPREP_SUMMARY            	rpm for 10 min at 4°C. Subsequently, the supernatant was dried using SpeedVac
SP:SAMPLEPREP_SUMMARY            	(Christ, Germany) and resuspended in 100 ul of 50% A: B mobile phase before
SP:SAMPLEPREP_SUMMARY            	LC/MS analysis. (A: 0.1% Formic acid in dH2O, B: 0.1% FA in 50% ACN: MeOH).
SP:SAMPLEPREP_SUMMARY            	Pooled QC was prepared from all samples to check the instrument performance.
SP:SAMPLEPREP_PROTOCOL_FILENAME  	Metabolites extraction
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_SUMMARY        	Untargeted metabolomics analyses were performed using LCMS as previously
CH:CHROMATOGRAPHY_SUMMARY        	reported [19]. Waters Acquity UPLC system coupled with a Xevo G2-S QTOF mass
CH:CHROMATOGRAPHY_SUMMARY        	spectrometer equipped with an electrospray ionization source (ESI) was used. The
CH:CHROMATOGRAPHY_SUMMARY        	samples were separated by ACQUITY UPLC and eluted through XSelect (100×2.1mm
CH:CHROMATOGRAPHY_SUMMARY        	2.5 mm) column (Waters Ltd., Elstree, UK). The composition of mobile phase
CH:CHROMATOGRAPHY_SUMMARY        	solvent A was 0.1% formic acid in dH2O, and solvent B was 0.1% formic acid in
CH:CHROMATOGRAPHY_SUMMARY        	50% ACN: MeOH. The flow rate was at 0.300 µL/min. The gradient started with 95-
CH:CHROMATOGRAPHY_SUMMARY        	5% A for 16 minutes, followed by 4 min of 5% - 95% A, 1 min of 5-95% A, then 2
CH:CHROMATOGRAPHY_SUMMARY        	min of 95- 5% A. The total run time was 23 minutes with an injection volume of 5
CH:CHROMATOGRAPHY_SUMMARY        	μL. MS spectra were acquired under positive and negative electrospray
CH:CHROMATOGRAPHY_SUMMARY        	ionization modes (ESI+, ESI−). MS conditions were as follows: the source and
CH:CHROMATOGRAPHY_SUMMARY        	desolvation temperatures were set at 150°C and 500°C (ESI+) or 140 (ESI−),
CH:CHROMATOGRAPHY_SUMMARY        	respectively. The capillary voltage was 3.20 kV (ESI+) or 3 kV (ESI−), the
CH:CHROMATOGRAPHY_SUMMARY        	cone voltage was 40 V, the desolvation gas flow was 800.0 L/h, cone gas flow was
CH:CHROMATOGRAPHY_SUMMARY        	50 L/h. The collision energies of low and high functions were set off at 10 V
CH:CHROMATOGRAPHY_SUMMARY        	and 50 V, respectively, in MSE mode. Data were collected in continuum mode with
CH:CHROMATOGRAPHY_SUMMARY        	a MasslynxTM V4.1 workstation (Waters Inc., Milford, MA, USA).
CH:CHROMATOGRAPHY_TYPE           	Reversed phase
CH:INSTRUMENT_NAME               	Waters Acquity UPLC
CH:COLUMN_NAME                   	Waters XSelect HSS C18 (100 × 2.1mm,2.5um)
CH:SOLVENT_A                     	100% water; 0.1% formic acid
CH:SOLVENT_B                     	50% methanol/50% acetonitrile; 0.1% formic acid
CH:FLOW_GRADIENT                 	0-16 min 95- 5% A, 16-19 min 5% A, 19-20 min 5-95% A, 20-22 min 95- 95% A
CH:FLOW_RATE                     	300 µL/min
CH:COLUMN_TEMPERATURE            	55
CH:METHODS_FILENAME              	LC/MS Metabolomics
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
AN:ANALYSIS_PROTOCOL_FILE        	LC/MS Metabolomics
#MS
MS:INSTRUMENT_NAME               	Waters Xevo-G2-S
MS:INSTRUMENT_TYPE               	QTOF
MS:MS_TYPE                       	ESI
MS:ION_MODE                      	POSITIVE
MS:MS_COMMENTS                   	The DIA data were collected with a Masslynx™ V4.1 workstation in continuum
MS:MS_COMMENTS                   	mode (Waters Inc., Milford, MA, USA). The raw MS data were processed following a
MS:MS_COMMENTS                   	standard pipeline using the Progenesis QI v.3.0 software.
MS:MS_RESULTS_FILE               	ST002811_AN004572_Results.txt	UNITS:Peak Area	Has m/z:Yes	Has RT:Yes	RT units:Minutes
#END