2022
DOI: 10.3389/fphys.2022.874472
|View full text |Cite
|
Sign up to set email alerts
|

Modeling of SGLT1 in Reconstituted Systems Reveals Apparent Ion-Dependencies of Glucose Uptake and Strengthens the Notion of Water-Permeable Apo States

Abstract: 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 t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
5
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(7 citation statements)
references
References 71 publications
2
5
0
Order By: Relevance
“…LUVs are small nano‐compartments enabling the quantification of solute permeabilities across its membrane utilizing encapsulated environmental sensitive dyes. The adaptation of our recently published mathematical model [ 61 ] to the herein presented passive permeability sensors enabled us to predict solute concentrations over time in dependence of the experimental conditions. Comparing the sensitivity of such a passive permeability sensor in the neutral regime, at a pH of 7.0, to the acidic region, at a pH of 4.5, revealed an increased sensitivity to ions in the acidic region ( Figure ).…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…LUVs are small nano‐compartments enabling the quantification of solute permeabilities across its membrane utilizing encapsulated environmental sensitive dyes. The adaptation of our recently published mathematical model [ 61 ] to the herein presented passive permeability sensors enabled us to predict solute concentrations over time in dependence of the experimental conditions. Comparing the sensitivity of such a passive permeability sensor in the neutral regime, at a pH of 7.0, to the acidic region, at a pH of 4.5, revealed an increased sensitivity to ions in the acidic region ( Figure ).…”
Section: Resultsmentioning
confidence: 99%
“…With water permeability P f , molar volume of water v w , (Table 1) and the osmotic gradient δ Osm [ 61 ] δOsm=()normali=0kXtiinsidegoodbreak+normali=0nYt=0iinside·V0V()ti=0normalm[]Z()tnormalioutside$$\begin{eqnarray} {\delta }_{{\rm{Osm}}} &=& \left( {\mathop \sum \limits_{{\rm{i}} = 0}^{\rm{k}} \left[ {X\left( t \right)} \right]_{\rm{i}}^{{\rm{inside}}} + \mathop \sum \limits_{{\rm{i}} = 0}^{\rm{n}} \left[ {Y\left( {t = 0} \right)} \right]_{\rm{i}}^{{\rm{inside}}} \cdot \frac{{{V}_0}}{{V\left( t \right)}}} \right)\nonumber\\ &&-\ \left( {\mathop \sum \limits_{{\rm{i}}\ = \ 0}^{\rm{m}} \left[ {Z\left( t \right)} \right]_{\rm{i}}^{{\rm{outside}}}} \right) \end{eqnarray}$$where k permeable [ X ( t )] inside and n impermeable [ Y ( t = 0)] inside substrate concentrations were inside the vesicle. [ Z ( t )] outside was the sum of all m substrate concentrations outside the vesicle.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…To date, substrate transport by SGLT in vivo has been analyzed using knockout mouse experiments ( 14 ), RNA interference techniques ( 15 ), and human pathogenic mutation analyses ( 5 ). In vitro identification of transported substrates has been performed by analyzing the uptake of radioisotope-labeled (RI) substrates ( 16 , 17 ), performing electrophysiological analyses using cotransported sodium as a charge carrier ( 18 , 19 , 20 ), and conducting liposome reconstitution system assays ( 21 ). Advances in structural biology have provided clues to explain the substrate specificity of glucose transporters.…”
mentioning
confidence: 99%