Barta Thomas, Sandtner Walter, Wachlmayr Johann, Hannesschlaeger Christof, Ebert Andrea, Speletz Armin, Horner Andreas
Department of Molecular Biophysics and Membrane Biophysics, Institute of Biophysics, Johannes Kepler University Linz, Linz, Austria.
Center of Physiology and Pharmacology, Institute of Pharmacology and the Gaston H. Glock Research Laboratories for Exploratory Drug Development, Medical University of Vienna, Vienna, Austria.
Front Physiol. 2022 Jun 15;13:874472. doi: 10.3389/fphys.2022.874472. eCollection 2022.
The reconstitution of secondary active transporters into liposomes shed light on their molecular transport mechanism. The latter are either symporters, antiporters or exchangers, which use the energy contained in the electrochemical gradient of ions to fuel concentrative uptake of their cognate substrate. In liposomal preparations, these gradients can be set by the experimenter. However, due to passive diffusion of the ions and solutes through the membrane, the gradients are not stable and little is known on the time course by which they dissipate and how the presence of a transporter affects this process. Gradient dissipation can also generate a transmembrane potential (V). Because it is the effective ion gradient, which together with V fuels concentrative uptake, knowledge on how these parameters change within the time frame of the conducted experiment is key to understanding experimental outcomes. Here, we addressed this problem by resorting to a modelling approach. To this end, we mathematically modeled the liposome in the assumed presence and absence of the sodium glucose transporter 1 (SGLT1). We show that 1) the model can prevent us from reaching erroneous conclusions on the driving forces of substrate uptake and we 2) demonstrate utility of the model in the assignment of the states of SGLT1, which harbor a water channel.
将次级主动转运蛋白重组到脂质体中有助于揭示其分子转运机制。后者包括同向转运体、反向转运体或交换体,它们利用离子电化学梯度中所含的能量来推动其同源底物的浓缩摄取。在脂质体制备中,这些梯度可由实验者设定。然而,由于离子和溶质通过膜的被动扩散,这些梯度并不稳定,关于它们消散的时间进程以及转运蛋白的存在如何影响这一过程,人们了解甚少。梯度消散也会产生跨膜电位(V)。由于是有效离子梯度与V共同推动浓缩摄取,了解这些参数在实验进行的时间范围内如何变化是理解实验结果的关键。在此,我们通过采用建模方法解决了这个问题。为此,我们对假定存在和不存在钠葡萄糖转运蛋白1(SGLT1)的脂质体进行了数学建模。我们表明:1)该模型可防止我们在底物摄取驱动力方面得出错误结论;2)证明了该模型在确定含有水通道的SGLT1状态方面的实用性。