Monocarboxylate (Lactate) transporter

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Monocarboxylate transporters,[1] or MCTs, constitute a family of proton-linked plasma membrane transporters that carry molecules having one carboxylate group (monocarboxylates), such as lactate and pyruvate.

Chemical equation

 Lactate_{in} \rightleftharpoons Lactate_{out}

Rate equation

Reversible Michaelis-Menten rate law is used

 \frac{V_{mf} \times \frac{[Lactate_{in}]}{Km_{Lactate_{in}}} - Vmr \times \frac{[Lactate_{out}]}{Km_{Lactate_{out}}}}{1 + \frac{[Lactate_{in}]}{Km_{Lactate_{in}}} + \frac{[Lactate_{out}]}{Km_{Lactate_{out}}}}

Modified rate law to take Thermodynamic constraint into consideration


 \frac{V_{mf} \frac{[Lactate_{in}]}{Km_{Lactate_{in}}} \left(1  - \frac{[Lactate_{out}]}{K_{eq}[Lactate_{in}] } \right)}{1 + \frac{[Lactate_{in}]}{Km_{Lactate_{in}}} + \frac{[Lactate_{out}]}{Km_{Lactate_{out}}}}

Parameter values

Parameter Value Units Organism Remarks
V_{mf} 2.5 [2] \text{mM min}^{-1} Human tumor cells
V_{mr} 2.4 [3] \text{mM min}^{-1} Rat liver cells
Km_{Lactate_{in}} 4.5 [3] mM Rat liver cell
Km_{Lactate_{out}} 4.54 [2] mM Human tumor cells

Parameters with uncertainty

  • Among different isoforms the MCT1 in Tumour cells are considered in this model. The Km_{Lactate_{in}} is defined as 4.38 \pm 1.81 and V_{mf} = 2.5 \pm 0.48 [2] with 6 experiments.
  • In the legend of Table-1 of [3] it states that the Km and Vmax values for monocarboxylate transport are from mouse Ehrlich Lettre ́ tumor cells. We also consider these values for Km_{Lactate_{out}} and V_{mr}. In the publication the values are given in mean \pm S.E. with 7 experiments. Calculating Std. Dev. from S.E gives, 4.54 \pm 1.93 for Km_{Lactate_{out}} and 0.0207 \pm 0.003 for V_{mr}.
Parameter Value Units Organism Remarks
V_{mf} 2.5 \pm 0.48 \text{mM min}^{-1} Human tumor cells
V_{mr} 0.0207 \pm 0.003 \text{mM min}^{-1} Human Tumor cell
Km_{Lactate_{in}} 4.38 \pm 1.81 mM Human tumour cell
Km_{Lactate_{out}} 4.54 \pm 1.93 mM Human tumor cells


Equilibrium constant

  • The K_{eq} value of the transporters are reported to be 1.00.[4][5] As the K_{eq} is directly related to K_{m} values of substrate and product, the uncertainty would also be dependent. The highest uncertainty is mentioned for K_{Glucose_{out}} which is 70% of the actual value. The same percentage of error is assumed for K_{eq}; 0.70.
  • Alternative-2: In order to ensure that the uncertainty does not affect the model equilibrium a small uncertainty of 5% can be considered for transporter. In our model we have applied this approach. So K_{eq} = 1 \pm 0.05

References

  1. Halestrap AP, Meredith D (2004). The SLC16 gene family-from monocarboxylate transporters (MCTs) to aromatic amino acid transporters and beyond. Pflugers Arch. 447 (5): 619–28 (doi)
  2. 2.0 2.1 2.2 Manning Fox JE et. al. (2000). Characterisation of human monocarboxylate transporter 4 substantiates its role in lactic acid efflux from skeletal muscle. J Physiol 529(Pt2):285-293
  3. 3.0 3.1 3.2 Jackson VN, Halestrap AP (1996) The kinetics, substrate, and inhibitor specificity of the monocarboxylate (lactate) transporter of rat liver cells determined using the fluorescent intracellular pH indicator, 2’,7’-bis(carboxyethyl)-5(6)-carboxyfluorescein. J Biol Chem 271:861–868
  4. Ettore Murabito (2011), Application of Differential Metabolic Control Analysis to Identify New Targets in Cancer Treatment, (PhD Thesis), University of Manchester
  5. F. Achcar, E.J. Kerkhoven, B.M. Bakker, M.P. Barrett, R. Breitling (2012), Dynamic modelling under uncertainty: the case of Trypanosoma brucei energy metabolism, PLoS Comput Biol, 8, p. e1002352