CardioNet: A human metabolic network suited for the study of cardiomyocyte metabolism

Karlstädt, Anja; Fliegner, Daniela; Kararigas, Georgios; Ruderisch, Hugo Sanchez; Regitz-Zagrosek, Vera; Holzhütter, Hermann-Georg

doi:10.1186/1752-0509-6-114

BMC Systems Biology

Table 5 Simulations of substrate availability: cardiomyocyte target function

From: CardioNet: A human metabolic network suited for the study of cardiomyocyte metabolism

β _Glucose	β _Palmitate	β _Stearate	β _Oleate	β _{α−Linoleate}	β _EPA	β _DHA	β _Acetoacetate	β _Lactate	$v_{O_{2}}$	v _s	v _GL	v _GS	$C_{i^{+}}$
									$[\frac{mmol}{min \cdot (lcell)}]$	$[\frac{mmol}{min \cdot (l cell)}]$	$[\frac{mmol}{min \cdot (l cell)}]$	$[\frac{mmol}{min \cdot (l cell)}]$
0.9000	0.0500	0.0000	0.0000	0.0167	0.0167	0.0167	0.0000	0.0000	6.9154	4.8859	0.0000	0.4027	0.8438
0.2500	0.0000	0.0000	0.0000	0.2083	0.0000	0.0417	0.0000	0.5000	4.0502	0.4093	0.1450	0.0000	0.8000
0.4500	0.0417	0.0000	0.0000	0.0417	0.0000	0.1667	0.3000	0.0000	11.4761	2.0466	0.0000	0.0000	0.7500
0.2500	0.0250	0.0000	0.0500	0.0250	0.0250	0.0250	0.5500	0.0500	14.9112	3.2573	0.0000	0.0690	0.7000
0.0000	0.0250	0.0000	0.0250	0.0250	0.0000	0.0750	0.1000	0.7500	17.3465	3.4111	0.0098	0.0000	0.6500
0.2500	0.0167	0.0167	0.0000	0.0167	0.0167	0.0333	0.6500	0.0000	20.2825	4.8859	0.0000	0.1150	0.6000
0.0500	0.0000	0.0333	0.0000	0.0167	0.0333	0.0167	0.4500	0.4000	22.5428	4.8859	0.0000	0.0103	0.5500
0.1500	0.0000	0.2250	0.0750	0.0750	0.0000	0.0750	0.1500	0.2500	25.2571	10.2332	0.0000	0.4532	0.5000
0.4000	0.0000	0.0167	0.0000	0.0083	0.0083	0.0167	0.3500	0.2000	27.6323	9.7718	0.0000	0.3434	0.4500
0.3000	0.0000	0.0000	0.0083	0.0083	0.0000	0.0333	0.0500	0.6000	29.8822	10.2332	0.0000	0.2629	0.4000
0.2500	0.0167	0.0083	0.0000	0.0083	0.0000	0.0167	0.3000	0.4000	32.3227	10.2332	0.0000	0.2266	0.3500
0.2500	0.0083	0.0083	0.0000	0.0083	0.0000	0.0250	0.5000	0.2000	34.8810	10.2332	0.0000	0.2266	0.3000
0.2000	0.0000	0.0250	0.0000	0.0083	0.0083	0.0083	0.7500	0.0000	37.2907	9.7718	0.0000	0.1757	0.2500
0.0000	0.0000	0.0083	0.0083	0.0083	0.0083	0.0167	0.3000	0.6500	38.8292	9.7718	0.2160	0.0000	0.2000
0.0000	0.0083	0.0083	0.0083	0.0083	0.0000	0.0167	0.4000	0.5500	41.2341	10.2332	0.2160	0.0000	0.1500
0.0000	0.0167	0.0000	0.0000	0.0083	0.0167	0.0083	0.9500	0.0000	44.3334	9.7718	0.0000	0.0029	0.1000
0.0000	0.0000	0.0083	0.0000	0.0083	0.0000	0.0333	0.9000	0.0500	47.5569	10.2332	0.0120	0.0000	0.0500
0.0000	0.0083	0.0000	0.0000	0.0083	0.0000	0.0333	0.9500	0.0000	47.9063	10.2332	0.2160	0.0000	0.0100

Results are shown for simulations of varied substrate availability of glucose, acetoactate, lactate and 6 different fatty aicids: palmitate, stearate, oleate, alpha-linoleate, eicosapentaenoate and docosahexaenoate. For each simulated composition efficiency values $C_{i^{+}}$ were calculated based on three criteria q_j (j=1,2,..,nj): (1) oxygen requirement ( $v_{O_{2}}$ , q1) , (2) total substrate uptake rate (vs, q2) and (3) endogenous glucose dervied fromglycogenolysis (vGL, q3). Results are ranked by the calculated efficiency $C_{i^{+}}$ in descending order and given for maximal and minimal calculated efficiency values. Further results are shown for each efficiency value of 0.3, 0.35,0.4, 0.45, 0.5, 0.55, 0.6, 0.65. Rates for oxygen requirement ( $v_{O_{2}}$ ), total substrate uptake rates (v_s), glycogenolysis (vGL) and glycogen synthesis (v_GS) are given in mmol ⋅ min⁻¹ ⋅ (l cell)⁻¹. For a complete overview of all results,please see Additional file 11 and 12. GL indicates glycogenolysis; GS, glycogen synthesis; EPA, eicosapentaenoate; and DHA, docosahexaenoate.

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ISSN: 1752-0509

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