#METABOLOMICS WORKBENCH Jyoti_123_20240821_051157 DATATRACK_ID:5135 STUDY_ID:ST003475 ANALYSIS_ID:AN005710 PROJECT_ID:PR002134
VERSION             	1
CREATED_ON             	September 16, 2024, 10:11 am
#PROJECT
PR:PROJECT_TITLE                 	Differentially Altered Hepatocellular Global Metabolome in Response to
PR:PROJECT_TITLE                 	Endotoxemia and Lipotoxicity
PR:PROJECT_SUMMARY               	The primary focus of the paper revolves around the exploration of the distinct
PR:PROJECT_SUMMARY               	impacts of endotoxemia, induced by gut-derived endotoxin, and lipotoxicity,
PR:PROJECT_SUMMARY               	resulting from adipose-derived free non-esterified fatty acids, on the
PR:PROJECT_SUMMARY               	untargeted global metabolome of hepatocytes. The study elucidates the pivotal
PR:PROJECT_SUMMARY               	significance of these two parameters on hepatotoxicity associated with the
PR:PROJECT_SUMMARY               	pathogenesis of non-alcoholic fatty liver disease (NAFLD). The study highlights
PR:PROJECT_SUMMARY               	the liver as a principal site for metabolic damage, which occurs primarily via
PR:PROJECT_SUMMARY               	two main pathways. One of the pathways includes the transportation of microbial
PR:PROJECT_SUMMARY               	products from the gut, namely endotoxin, which triggers the activation of
PR:PROJECT_SUMMARY               	hepatic Kupffer cells and subsequently induces inflammation in the liver. The
PR:PROJECT_SUMMARY               	second pathway encompasses the consequences of lipotoxicity, which arises from
PR:PROJECT_SUMMARY               	the relocation of fatty acids from adipose tissue to the liver, ultimately
PR:PROJECT_SUMMARY               	leading to the development of hepatic steatosis. The study used HepG2 cells as a
PR:PROJECT_SUMMARY               	model system to assess the individual impacts of endotoxin (LPS) and fatty acids
PR:PROJECT_SUMMARY               	on the intracellular global metabolome. This study elucidates the distinct
PR:PROJECT_SUMMARY               	effects of these two parameters on the overall metabolic balance of hepatocytes.
PR:PROJECT_SUMMARY               	The manuscript highlights the significance of comprehending the distinct impacts
PR:PROJECT_SUMMARY               	of endotoxemia and lipotoxicity on hepatocellular metabolism, particularly in
PR:PROJECT_SUMMARY               	relation to the growing incidence of lean nonalcoholic steatohepatitis (NASH).
PR:PROJECT_SUMMARY               	This form of NASH is not linked to obesity or lipotoxicity originating from
PR:PROJECT_SUMMARY               	adipose tissue. Moreover, it underscores the importance of metabolomics in the
PR:PROJECT_SUMMARY               	detection of biomarkers, comprehension of disease processes, and formulation of
PR:PROJECT_SUMMARY               	diagnostic and therapeutic approaches for liver illnesses and metabolic
PR:PROJECT_SUMMARY               	disorders.
PR:INSTITUTE                     	THAPAR INSTITUTE OF ENGINEERING AND TECHNOLOGY
PR:LAST_NAME                     	Sharma
PR:FIRST_NAME                    	Jyoti
PR:ADDRESS                       	Bhadson Rd, Adarsh Nagar, Prem Nagar, Patiala, PATIALA, PUNJAB, 147004, India
PR:EMAIL                         	jjyoti_phd22@thapar.edu
PR:PHONE                         	+91-9064275660
#STUDY
ST:STUDY_TITLE                   	Intracellular metabolome and Intracellular metabolic pathway prediction
ST:STUDY_SUMMARY                 	The study used HepG2 cells as a model system to assess the individual impacts of
ST:STUDY_SUMMARY                 	endotoxin (LPS) and fatty acids on the intracellular global metabolome. This
ST:STUDY_SUMMARY                 	study elucidates the distinct effects of these two parameters on the overall
ST:STUDY_SUMMARY                 	metabolic balance of hepatocytes.
ST:INSTITUTE                     	THAPAR INSTITUTE OF ENGINEERING AND TECHNOLOGY
ST:LAST_NAME                     	Sharma
ST:FIRST_NAME                    	Jyoti
ST:ADDRESS                       	Bhadson Rd, Adarsh Nagar, Prem Nagar, Patiala, PATIALA, PUNJAB, 147004, India
ST:EMAIL                         	jjyoti_phd22@thapar.edu
ST:PHONE                         	+91-9064275660
#SUBJECT
SU:SUBJECT_TYPE                  	Cultured cells
SU:SUBJECT_SPECIES               	Homo sapiens
SU:TAXONOMY_ID                   	9606
#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           	Wild-type	A_Cntrl	Sample source:Human liver cancer cells | Treatment:Control	Cell line=HepG2 Cells; RAW_FILE_NAME(Raw file name)=PD_GCMS_Cntrl
SUBJECT_SAMPLE_FACTORS           	Wild-type	B_LPS	Sample source:Human liver cancer cells | Treatment:LPS	Cell line=HepG2 Cells; RAW_FILE_NAME(Raw file name)=PD_GCMS_LPS
SUBJECT_SAMPLE_FACTORS           	Wild-type	C_FFA	Sample source:Human liver cancer cells | Treatment:FFA	Cell line=HepG2 Cells; RAW_FILE_NAME(Raw file name)=PD_GCMS_FFA
#COLLECTION
CO:COLLECTION_SUMMARY            	HepG2 cells were procured from National Institute of Cell Science (Pune, India)
CO:COLLECTION_SUMMARY            	and cells were cultures as per our previously standardized method (Rezgui et
CO:COLLECTION_SUMMARY            	al., 2023). In brief, cells were cultured (37°C and 5% CO2) in low-glucose
CO:COLLECTION_SUMMARY            	Dulbecco's Modified Eagle Medium (HiMedia,India) supplemented with 10% fetal
CO:COLLECTION_SUMMARY            	bovine serum, 100 UI/mL penicillin, 100 ug/mL streptomycin,and 25 ug/mL
CO:COLLECTION_SUMMARY            	amphotericin B. An Olympus inverted microscope (model) was used to track cell
CO:COLLECTION_SUMMARY            	development during sub-culturing, which was carried out at intervals of 45–50
CO:COLLECTION_SUMMARY            	h. A cell counting equipment (Far-scope B, Curiosis) was used to do the trypan
CO:COLLECTION_SUMMARY            	blue cell count.
CO:SAMPLE_TYPE                   	HepG2 cells
#TREATMENT
TR:TREATMENT_SUMMARY             	HepG2 cells were seeded in 6 well-plates (2X106 119 cells/mL) in DMEM without
TR:TREATMENT_SUMMARY             	serum for 24-h to achieve 85-90% confluency. Next, cells were either treated
TR:TREATMENT_SUMMARY             	with FAA-albumin conjugate at 400µM concentration or with 200 ng/mL
TR:TREATMENT_SUMMARY             	lipopolysaccharide (LPS; E. coli O55.B5, Sigma, USA) for 24 h under standard
TR:TREATMENT_SUMMARY             	conditions. Untreated cells were considered as control. After 24-h of treatment,
TR:TREATMENT_SUMMARY             	cells were separated from the culture supernatant and cell extracts were
TR:TREATMENT_SUMMARY             	prepared as described before in Rezgui et al., Antioxidants 2023, 12(4), 930.
TR:TREATMENT_SUMMARY             	https://doi.org/10.3390/antiox12040930.
#SAMPLEPREP
SP:SAMPLEPREP_SUMMARY            	Preparation of fatty acid-albumin conjugate preparation- Palmitic-acid albumin
SP:SAMPLEPREP_SUMMARY            	conjugate was prepared based on a previously standardized method (Cousin et al.,
SP:SAMPLEPREP_SUMMARY            	2001). In brief, palmitic acid (Sigma #P0500) was heated at 70°C with 0.1M NaOH
SP:SAMPLEPREP_SUMMARY            	under constant shaking in a Thermo mixer to prepare a stock solution (0.1 M,
SP:SAMPLEPREP_SUMMARY            	solution A). In parallel, 5% (w/v) FAA and endotoxin-free bovine serum albumin
SP:SAMPLEPREP_SUMMARY            	(Sigma #126579) was mixed with water at 55°C under constant shaking (solution
SP:SAMPLEPREP_SUMMARY            	B). Both the solutions were mixed at desired proportions at 55°C under constant
SP:SAMPLEPREP_SUMMARY            	shaking to obtain 10 mM PA-BSA conjugate. The resultant was filtered through
SP:SAMPLEPREP_SUMMARY            	0.45 uM hydrophilic membrane syringe filter, cooled down at room temperature,
SP:SAMPLEPREP_SUMMARY            	and stored at -20°C until further use (stability 3-4 wk).
#CHROMATOGRAPHY
CH:CHROMATOGRAPHY_SUMMARY        	Pooled metabolite extract (n = 3) was analyzed using a Shimadzu QP 2010 Ultra
CH:CHROMATOGRAPHY_SUMMARY        	GC-MS instrument equipped with a TG‑5MS column (30 m X 0.25 mm X 0.25 µm).
CH:CHROMATOGRAPHY_SUMMARY        	The injector temperature was set at 250 °C and the initial temperature of the
CH:CHROMATOGRAPHY_SUMMARY        	program was set at 60 °C (solvent delay 4 min) with a hold of 4 min, followed
CH:CHROMATOGRAPHY_SUMMARY        	by a ramp of 10 °C to 300 °C with a hold of 10 min. Derivatized samples (1
CH:CHROMATOGRAPHY_SUMMARY        	µL) were injected in a split mode (split ratio 20:1) with a splitless time of
CH:CHROMATOGRAPHY_SUMMARY        	0.80 min, with a constant flow of helium gas (1 mL/min).
CH:CHROMATOGRAPHY_TYPE           	GC
CH:INSTRUMENT_NAME               	Shimadzu GCMS-QP2010 ultra
CH:COLUMN_NAME                   	ThermoFisher TG‑5MS (30 m x 0.25 mm, 0.25um)
CH:SOLVENT_A                     	-
CH:SOLVENT_B                     	-
CH:FLOW_GRADIENT                 	-
CH:FLOW_RATE                     	-
CH:COLUMN_TEMPERATURE            	Temperature-programmed GC: the initial temperature of the program was set at 60
CH:COLUMN_TEMPERATURE            	°C (solvent delay 4 min) with a hold of 4 min, followed by a ramp of 10 °C to
CH:COLUMN_TEMPERATURE            	300 °C with a hold of 10 min
#ANALYSIS
AN:ANALYSIS_TYPE                 	MS
#MS
MS:INSTRUMENT_NAME               	Shimadzu QP2010 Ultra
MS:INSTRUMENT_TYPE               	Triple quadrupole
MS:MS_TYPE                       	EI
MS:ION_MODE                      	POSITIVE
MS:MS_COMMENTS                   	MS transfer line temperature was set at 290 °C with an ion source temperature
MS:MS_COMMENTS                   	of 200 °C (electron ionization). The samples were analyzed at electron energy
MS:MS_COMMENTS                   	70 eV (vacuum pressure: 2.21e‑0.5 Torr), and the mass analyzer range was set
MS:MS_COMMENTS                   	to 50-650 amu.
#MS_METABOLITE_DATA
MS_METABOLITE_DATA:UNITS	% Abundance
MS_METABOLITE_DATA_START
Samples	A_Cntrl	B_LPS	C_FFA
Factors	Sample source:Human liver cancer cells | Treatment:Control	Sample source:Human liver cancer cells | Treatment:LPS	Sample source:Human liver cancer cells | Treatment:FFA
2,4-Pentanediol	0.02		
N,N-Dimethylacetamide	0.17		
Propanoic acid	0.02		
1,3-Pentadiene	0.27		
Benzo[b]thiophene, 2-ethyl-	0.28		
3-Methyl-3-pentanol	0.22		
2-Amino-4-tertbutylthiazole	0.1		
4-Methoxy-2-allylphenol	0.02		
2-Propanone	0.03		
Sarcosylserine		0.13	
2,6-Dimethylbenzenethiol, S-acetyl-		0.43	
?-D-Glucopyranoside		0	
?-Hydroxypyruvic acid		0.47	
N-ethyl-butanamide		0.19	
Thiazole, 5-methyl-2-phenyl		0.02	
D-(+)-Arabitol			0.04
Acetamide			0.63
Benzo[b]thiophene, 2-ethyl			0.24
Pyrazine			0.03
Butanoic acid			0.63
MS_METABOLITE_DATA_END
#METABOLITES
METABOLITES_START
metabolite_name	MOL. WEIGHT	RETENTION TIME
2,4-Pentanediol	104	7.335
N,N-Dimethylacetamide	87	7.3605
Propanoic acid	74	7.3715
1,3-Pentadiene	68	7.501
Benzo[b]thiophene, 2-ethyl-	162	7.5375
3-Methyl-3-pentanol	102	7.5525
2-Amino-4-tertbutylthiazole	156	7.565
4-Methoxy-2-allylphenol	164	7.63
2-Propanone	58	7.7235
Sarcosylserine	†89	7.678
2,6-Dimethylbenzenethiol, S-acetyl-	210.41	7.9135
?-D-Glucopyranoside	194	8.3015
?-Hydroxypyruvic acid	104	8.3305
N-ethyl-butanamide	115	8.3325
Thiazole, 5-methyl-2-phenyl	175	8.089
D-(+)-Arabitol	152	7.409
Acetamide	59	7.49
Benzo[b]thiophene, 2-ethyl	162	7.495
Pyrazine	80	7.5895
Butanoic acid	88	7.6155
METABOLITES_END
#END