The serum and glucocorticoid induced kinase 1 (SGK1) participates in the regulation of sodium reabsorption in the distal segment of the renal tubule, where it may modify the function of the epithelial sodium channel (ENaC). The molecular mechanism underlying SGK1 regulation of ENaC in renal epithelial cells remains controversial. We have addressed this issue in an A6 renal epithelial cell line that expresses SGK1 under the control of a tetracycline-inducible system. Expression of a constitutively active mutant of SGK1 (SGK1TS425D) induced a sixfold increase in amiloride-sensitive short-circuit current (Isc). Using noise analysis we demonstrate that SGK1 effect on Isc is due to a fourfold increase in the number of functional ENaCs in the membrane and a 43% increase in channel open probability. Impedance analysis indicated that SGK1TS425D increased the absolute value of cell equivalent capacitance by an average of 13.7%. SGK1TS425D also produced a 1.6–1.9-fold increase in total and plasma membrane subunit abundance, without changing the half-life of channels in the membrane. We conclude that in contrast to aldosterone, where stimulation of transport can be explained simply by an increase in channel synthesis, SGK1 effects are more complex and involve at least three actions: (1) increase of ENaC open probability; (2) increase of subunit abundance within apical membranes and intracellular compartments; and (3) activation of one or more pools of preexistent channels within the apical membranes and/or intracellular compartments.

Regulation of epithelial sodium channel (ENaC) activity in the distal segments of the renal tubule is critical for the control of sodium balance and blood pressure. Aldosterone is a potent stimulus for sodium reabsorption in the kidney and a major regulator of ENaC activity. The mechanisms involved in aldosterone effects are only partially understood. The following evidence suggests that the serum and glucocorticoid-induced kinase 1 (SGK1) might be an important mediator of aldosterone action. Aldosterone increases the expression of SGK1 in the kidney and in cultured renal cells (Chen et al., 1999; Naray-Fejes-Toth et al., 1999; Shigaev et al., 2000; Bhargava et al., 2001), although aldosterone is not the only transcriptional regulator of SGK1 in the rat kidney (Alvarez de la Rosa et al., 2003; Farjah et al., 2003). Coexpression of SGK1 and ENaC in heterologous systems increases amiloride-sensitive sodium current and transepithelial sodium transport (Alvarez de la Rosa et al., 1999; Chen et al., 1999; Naray-Fejes-Toth et al., 1999; Faletti et al., 2002; Alvarez de la Rosa and Canessa, 2003). The importance of SGK1 on ENaC regulation in the kidney has been corroborated in an SGK1 knock-out mouse (Wulff et al., 2002; Huang et al., 2004). These animals [sgk1(−/−)] exhibit normal kidney structure and function under standard salt intake. In contrast, restriction of dietary salt reveals a defect in sodium retention by the kidney that decreases blood pressure significantly (Wulff et al., 2002). These findings are consistent with an inability of sgk1(/) mice to maximally activate or express ENaC.

The mechanisms underlying the effect of SGK1 on ENaC have been elucidated only partly. Current data do not support direct phosphorylation of ENaC by SGK1, at least in Xenopus oocytes (Pearce, 2001). More likely, SGK1 interacts with other proteins that ultimately stimulate ENaC function by increasing either the number or the activity of channels in the plasma membrane. Co-injection of SGK1 and ENaC in Xenopus oocytes increases channel expression in the plasma membrane (Alvarez de la Rosa et al., 1999). It has been proposed that ENaC abundance in the membrane is regulated by changes in the rate of channel endocytosis, which in turn is controlled by the ubiquitin ligase Nedd4 (Kamynina and Staub, 2002). Nedd4 binds proline-rich motives (PY) located in the carboxy terminus of the three ENaC subunits and catalyzes the ubiquitination of residues in the amino terminus of the subunits. Addition of ubiquitin provides a signal for the endocytic machinery to retrieve the channel (Staub et al., 1997). Recently, it has been shown that SGK1 is able to phosphorylate Nedd4, diminishing its affinity for the PY motifs and consequently leading to a decrease in retrieval of channels (Debonneville et al., 2001; Snyder et al., 2002). However, other studies indicate the situation is more complex because: (a) SGK1 effects persist after Nedd4 binding is abolished by deletion of the COOH terminus of the three subunits (Alvarez de la Rosa et al., 1999) or by selective mutation of PY motifs (Alvarez de la Rosa et al., 1999; Shigaev et al., 2000); (b) the half life of ENaC in the apical membrane of A6 cells remains unchanged after aldosterone treatment (Alvarez de la Rosa et al., 2002); (c) SGK1 has been shown to activate other channels and transporters that lack PY motifs and are not targets of Nedd4, such as NKCC2 and Na,K-ATPase (Lang et al., 2000; Setiawan et al., 2002); and (d) besides effects on channel traffic, it has been deduced from measurements of whole-cell currents and labeling of ENaC on the surface of Xenopus oocytes that SGK1 increases by 50% the activity of channels expressed in the membrane (Vuagniaux et al., 2002).

The goals of this study are to investigate the mechanism by which SGK1 regulates ENaC and to compare the effects of SGK1 to those induced by aldosterone in renal epithelial cells in culture. To this end, we used an A6 cell line that conditionally expresses a constitutively active mutant of SGK1 (Alvarez de la Rosa and Canessa, 2003). To study the mechanisms underlying the increase in sodium transport, we examined the functional properties of ENaC by blocker-induced noise analysis and correlated the changes in channel function with variations in membrane capacitance and ENaC subunits steady-state abundance, traffic and biosynthesis.

Cell Culture

The generation and characterization of A6 cells with tetracycline-inducible expression of SGK1 has been described previously (Alvarez de la Rosa and Canessa, 2003). In brief, we used the T-Rex system (Invitrogen) to generate A6 cell lines with stable coexpression of tetracycline repressor protein (TetR) and various forms of transfected Xenopus SGK1 (SGK1T) under the control of a promoter containing a tetracycline operator sequence (TetO). Under basal conditions TetR binds to TetO and represses SGK1T transcription. When tetracycline (Invitrogen) is added to the medium TetR is released from TetO and expression of SGK1Toccurs. In this study we used one of the cell lines described in our previous work, clone 1 conditionally expressing a constitutively active mutant of SGK1, SGK1TS425D (Alvarez de la Rosa and Canessa, 2003).

Cells were grown at 27°C in amphibian medium (0.75× Dulbecco's modified eagle's medium; GIBCO BRL) buffered with sodium bicarbonate and supplemented with 10% fetal bovine serum (Hyclone) and antibiotics for plasmid selection (500 μg/ml zeocin and 10 μg/ml blasticidin; Invitrogen) in a humidified incubator containing 1.5% CO2. Cells were routinely expanded in plastic dishes and subcultured onto 4.7 cm2 polycarbonate permeable supports (Transwell) for at least 10 d to achieve confluence and complete development of transepithelial transport characteristics (Helman and Liu, 1997). Cells were fed twice weekly with growth medium. After achieving confluence, the cells were depleted of serum and maintained in these conditions for two more days before experiments were performed. To induce expression of the mutant kinase, tetracycline (1 μg/ml) was added to the cells 24 h before the onset of the experiments. During electrical measurements tetracycline was maintained in the basolateral perfusion solution for the duration of the experiments. Control experiments show that 1 μg/ml of tetracycline does not change electrical properties in the A6 parental cell line or in A6 cells transfected with an empty vector and grown on selective conditions (Alvarez de la Rosa and Canessa, 2003). Where indicated 100 nM aldosterone (Sigma-Aldrich) was added to the cells 24 h before the onset of the experiments.

For electrical measurements, the filters were transferred to edge damage-free chambers (Abramcheck et al., 1985) and short circuited for the duration of the experiments using a very low noise, four electrode (Ag/AgCl, 4.5 M NaCl, 3% agar) voltage clamp while being perfused continuously at flow rates of ∼7 ml/min through chamber volumes of ∼0.5 ml with serum-free growth medium. Short-circuit currents (Isc) were allowed to stabilize for at least 75 min before the start of experimental periods. At the ends of the experiments 100 μM amiloride was added to the apical perfusion solution to measure the amiloride-insensitive Na+ currents. Macroscopic rates of sodium transport are expressed as blocker-sensitive Na+ currents (INa), determined from the difference between the Isc and the respective amiloride-insensitive currents.

Noise Analysis

The pulse method of blocker-induced noise analysis described in detail previously (Helman et al., 1998), permits determination of single-channel current (iNa), channel open probability (Po), and functional channel density (NT) during steady-state and transient periods of transport. In brief, the apical perfusion solution contained 10 μM CDPC (6-chloro-3,5-diamino-pyrazine-2-carboxamide; Sigma-Aldrich) throughout the experiment. From previous experience, this causes a small inhibition of the short-circuit current (Isc10), followed by an autoregulatory return to the original baseline values of the Isc (Helman et al., 1998). Once the Isc has stabilized, at 15-min intervals during control and experimental periods, the CDPC concentration was increased from 10 to 30 μM for pulse intervals of 3 min. CDPC is a low affinity Na+ channel blocker that interacts with open channels causing fluctuations of the channels between open and blocked states and thereby giving rise to blocker-induced current noise characterized by Lorentzians in power density spectra (PDS).

For each time point, low-frequency plateau values (So) and corner frequencies (fc) of the CDPC Lorentzians were determined by nonlinear curve fitting (Table Curve 2D; Jandel Scientific Software) for the pair of PDS measured at 10 and 30 μM CDPC, respectively. The blocker on (kob) and off (kbo) rate coefficients were calculated from the slopes and intercepts of the time-filtered pairs of fc at the respective CDPC concentrations (2πfc = kob B+kbo where B is the blocker concentration), and the blocker equilibrium constants, KB, are given by KB = kbo/kob (Helman and Baxendale, 1990). iNas were calculated with the following equation:

\[i_{Na}=\frac{S_{o}}{P_{\mathrm{gain}}}\left[\frac{\left(2\ {\pi}\ f\ _{c}\right)^{2}}{4\ I\ _{\mathit{Na}}k\ _{\mathit{ob}}B}\right]\]
(1)

using the power gain correction factor (Pgain) defined and calculated as described previously (Paunescu et al., 2000). The channel open probabilities Po were calculated in the usual way (Helman et al., 1998):

\[P_{o}=\frac{1{-}I\begin{array}{l}{B_{2}}/{B_{1}}\\Na\end{array}}{B_{2}I\begin{array}{l}{B_{2}}/{B_{1}}\\Na\end{array}{-}B_{1}}K_{B}\]
(2)

where B1 and B2 indicate the two blocker concentrations at which the measurements were performed. Open channel densities (No) in the absence of blocker were determined from the respective open channel densities in the presence of blocker N

\(\begin{array}{l}B\\o\end{array}\)
=
\({\mathit{I}^{\begin{array}{l}B\\Na\end{array}}}/{\mathit{i}^{\begin{array}{l}B\\Na\end{array}}}\)

\[N_{o}=N^{\begin{array}{l}\mathit{B}\\\mathit{o}\end{array}}\left(1+\frac{P_{o}\ B}{K_{B}}\right)\]
(3)

and the functional channel densities (NT), defined as the total number of functional channels actively involved in transmembrane Na+ transport (thereby excluding nonfunctional or quiescent channels), is given by the quotient No/Po.

At the end of the experiments 100 μM amiloride was added to the apical perfusion solution to measure the amiloride-insensitive short-circuit sodium currents (see Fig. 1). These values were subtracted from the Isc measured previously to determine macroscopic rates of sodium transport expressed as INa.

Impedance Analysis

Transepithelial electrical impedance (ZT) was measured under voltage clamp conditions in the frequency range of 0.244–10.45 kHz as described previously (Paunescu and Helman, 2001). The measured transepithelial voltage and current signals were amplified, filtered at the Nyquist frequencies and digitized using an IBM-compatible computer containing a DSP2200 board (National Instruments). The voltage and current vectors were determined by the Fourier transform of these signals, and the measured impedance (Zmeas) was calculated as their quotient at the respective frequencies. Zmeas was corrected for the series resistance of apical and basolateral perfusion solutions (Rsol) to yield the ZT.

The equivalent cell capacitance (Ceq*) was determined accordingly from the measured values of ZT and the shunt resistance (Rp=Z

\(\begin{array}{l}dc\\meas\end{array}\)
Rsol, where
\(Z^{\begin{array}{l}\mathrm{dc}\\\mathrm{meas}\end{array}}\)
is the dc value of Zmeas) using the following equation (Paunescu and Helman, 2001):

\[Z_{T}=\frac{R_{P}}{1+j\mathrm{{\omega}}R_{p}C_{eq}\mathrm{*}}\]
(4)

To better characterize the changes in cell membrane capacitance in tetracycline-treated versus control cells at audio frequencies we investigated the changes of |Ceq*|, the absolute value or magnitude of Ceq*, as described previously (Paunescu and Helman, 2001).

Cell Surface Biotinylation and Western Blot Analysis

A6 cells grown on filters were treated overnight with 100 nM aldosterone or 1 μg/ml of tetracycline. Cell surface biotinylation and Western blot analysis of Xenopus ENaC (xENaC) subunits were performed as described previously (Alvarez de la Rosa et al., 2002). In brief, apical membrane proteins were biotinylated at 4°C with the cell-impermeant biotin derivative sulfo-NHS-SS-biotin (Pierce Chemical Co.). After biotinylation free biotin was quenched with 50 mM glycine and cells were either solubilized immediately in a buffer containing 1% Triton X-100 or washed with serum-free culture medium and returned to the incubator for different periods of time before processing. Cell lysates were cleared by centrifugation and protein concentration was determined with the bicinchoninic acid procedure (BCA kit; Pierce Chemical Co.). 250 μg of lysate from each sample were incubated with streptavidin-agarose beads (Pierce Chemical Co.) to recover biotinylated proteins. The conditions used for streptavidin pull-down were optimized to ensure quantitative recovery of biotinylated proteins (Alvarez de la Rosa et al., 2002). Pull-down products were eluted from streptavidin beads and one third of each sample was separated in SDS-PAGE. In parallel gels, 40 μg of total protein from each sample were loaded. After transfer to Immobilon-P membranes (Millipore), xENaC subunits were detected using specific polyclonal antibodies (Alvarez de la Rosa et al., 2002). The signal was developed with the enhanced chemiluminiscence system (ECL+; Amersham Biosciences) and detected with Biomax MR film (Eastman Kodak Co.). Signal intensities were quantified with a scanning densitometer (Bio-Rad Laboratories).

Quantification of xENaC Subunits Protein Abundance

To obtain an estimate of the number of total channels in the cell and in the plasma membrane a quantitative assay was developed following the method described by Valentijn et al. (1998). The sequence of xENaC α subunit used to raise the antibody (Alvarez de la Rosa et al., 2002) was subcloned in the vector pMAL2cx (New England Biolabs), which allows the expression of maltose binding protein (MBP) fused with a sequence of interest in Escherichia coli. The fusion protein was affinity purified in a maltose column and quantified by absorption spectroscopy at 280 nM. Serial dilutions with known amounts of fusion protein (20, 10, 5, 1, and 0.1 fmol) were loaded on SDS-PAGE gels in parallel with samples of total protein (19.5 μg) and plasma membrane proteins from A6 cells. Plasma membrane proteins were recovered by cell-surface biotinylation and streptavidin-pull down as described in the previous section. The input for streptavidin-pull down was 61 μg of total protein in the cell lysate. Proteins were detected by Western blot with polyclonal antibody against xENaC α subunit. Signal intensity was quantified with a scanning densitometer (Bio-Rad Laboratories). Fusion protein signals were used to construct a standard curve. Signal intensities obtained with samples between 5 and 20 fmol were linear.

Metabolic Labeling and Immunoprecipitation

xENaC subunit rate of synthesis was examined as described previously (Alvarez de la Rosa et al., 2002). In brief, cells were treated overnight with 100 nM aldosterone or 1 μg/ml of tetracycline and then labeled with a mixture of [35S]methionine and [35S]cysteine (PerkinElmer) for 15 min. Cells were then resuspended in lysis buffer and incubated on ice for 30 min. Lysates were cleared by centrifugation and total protein content was quantified with the BCA kit (Pierce Chemical Co.). Polyclonal antibodies were used to specifically immunoprecipitate each of the xENaC subunits from cell lysates containing equal amounts of total protein. Conditions used for immunoprecipitation were optimized to ensure quantitative recovery of the antigen (Alvarez de la Rosa et al., 2002). The products of each immunoprecipitation were resolved in SDS-PAGE, transferred to Immobilon-P (Millipore) and exposed to Biomax MR film with a Biomax intensifying screen (Eastman Kodak Co.). Signal intensity was quantified by densitometry.

Phosphorylation of xENaC subunits was studied essentially as described (Shimkets et al., 1998). In brief, cells were treated overnight with 100 nM aldosterone or a combination of 100 nM aldosterone and 1 μg/ml of tetracycline. After two washes in phosphate-free medium, 1 mCi/ml of [32P]orthophosphate (Amersham Biosciences) was added to the basolateral side and cells were incubated for 4 h in the presence of aldosterone or aldosterone and tetracycline. Cells were then lysed in the presence of phosphatase inhibitors and xENaC subunits were recovered by immunoprecipitation as described above.

Statistical Analysis

Data of noise experiments are summarized as means ± SE. Noise and impedance experiments were performed at room temperature. All other data represent the mean of number of independent experiments ± SE. Differences between groups were evaluated with nonpaired t test. P and n values are given in the text or figure legends when appropriate.

Open-circuit Parameters

Before the transfer of A6 monolayers to the chambers in which noise and impedance analysis were performed, the transepithelial open-circuit voltages (Voc) and transepithelial electrical resistances (RT) were measured under open-circuit conditions, and the apparent short-circuit currents (Isc) were calculated from the measured parameters. Tetracycline-induced expression of a constitutively active mutant of SGK1 (SGK1TS425D) consistently increased mean Voc values, 72.6 ± 6.8 mV (n = 9) compared with the control value of 31.9 ± 5.2 mV (n = 8) and markedly lowered mean RT values, 4.8 ± 0.4 kΩ·cm2 (n = 9) compared with the control value of 17.0 ± 2.7 kΩ·cm2 (n = 8). Accordingly, the calculated short-circuit currents of the tetracycline-treated monolayers averaging 15.1 ± 0.8 μA/cm2 were approximately sixfold higher than control Isc values averaging 2.4 ± 0.6 μA/cm2.

Noise Analysis

The representative strip chart recordings shown in Fig. 1 illustrate that typically Isc in both control and tetracycline-treated monolayers stabilized within ∼60 min after chronic tissue short-circuiting and remained stable for the duration of the experiments. The figure further shows that tetracycline-treated cells maintained macroscopic currents that were substantially higher than those of control cells (note the different ordinate scales in Fig. 1). As summarized in Fig. 2 A, rates of Na+ transport measured as macroscopic Na+ current (INa) were on average five times higher in tetracycline-treated monolayers expressing SGK1TS425D than in control monolayers. INa averaged 9.12 ± 0.07 μA/cm2 in tetracycline-treated monolayers and 1.81 ± 0.02 μA/cm2 in control monolayers over the period of analysis (n = 8 measurement points between 75 and 180 min after short-circuiting), with a mean INa experimental vs. control ratio (E/C) of 5.05 ± 0.04.

Lorentzians were easily resolved at 10 and 30 μM CDPC. Typical pairs of current noise–PDS for control and tetracycline-treated tissues are shown in Fig. 3 and were similar to those reported previously in studies of the effects of aldosterone in A6 cells (Helman et al., 1998).

The higher levels of Na+ transport induced by the expression of SGKTS425D could not be attributed to changes of iNa. Disregarding small time-dependent variations of iNa, there was no significant difference in the average values of iNa amongst tetracycline-treated and control cells (Fig. 2 B). iNa values were closest to their respective mean values for the entire experimental periods at 135 min, where they averaged 0.47 ± 0.04 pA and 0.50 ± 0.09 pA in SGK1TS425D-expressing (n = 9) and control cells (n = 8), respectively. These mean iNa values are similar to those reported previously for ENaCs of frog skin (Helman and Liu, 1997) and A6 epithelia (Baxendale-Cox et al., 1997; Blazer-Yost et al., 1999).

Given that iNa is not changed by the expression of SGK1TS425D, the stimulation of macroscopic INa must be explained by a proportional stimulation of the open channel density (No), as illustrated in Fig. 2 C. At the end of the experimental periods, No averaged 21.46 ± 2.15 and 3.66 ± 0.50 open channels/100 μm2 in tetracycline-treated (n = 9) and control epithelia (n = 8), respectively.

Data summarized in Fig. 4 A show that the higher transport rates and open channel densities in tetracycline-treated cells are in part the result of an increased channel Po. Notwithstanding small variations in Po over the period of analysis, E/C values determined at each time point were on average 43% higher in tetracycline-treated than in control cells. At the end of the experimental periods, Po averaged 0.64 ± 0.05 in SGK1TS425D-expressing cells, a significantly higher value than the mean 0.44 ± 0.03 calculated in control cells at this time point. The mean 43% increase of Po could not result alone in a fivefold increase in the Na+ transport rate as measured in tetracycline-treated monolayers. Instead, the higher levels of INa and No found in SGK1TS425D-expressing monolayers were mainly due to large and sustained increases of the total number of functional channels (NT), as illustrated in Fig. 4 B. At the end of the noise analysis experiments, i.e., 180 min after short circuiting of epithelia, NT averaged 34.2 ± 3.4 channels/100 μm2 in tetracycline-treated monolayers (n = 9) compared with 8.4 ± 0.9 channels/100 μm2 in control monolayers (n = 8). The fourfold difference in NT is maintained for most time points, as E/C values average 3.81 ± 0.21 throughout the experimental period (n = 8 time points). This increase in channel density is consequently the main determinant for the stimulation of Na+ transport in A6 epithelia by SGK1TS425D expression.

Analysis showed that CDPC on and off rate coefficients remained essentially unchanged over the period of analysis. Furthermore, there was practically no difference between kbo values measured in control and tetracycline-treated cells, whereas kob values only showed a slight decrease (11% on average) in tetracycline-treated cells, which was reflected in the KB as a slight increase. Typical values for the two groups of cells were recorded around 135 min, when kob averaged 6.48 ± 0.30 and 7.17 ± 0.25 rad · s−1 · μM−1, respectively, whereas kbo averaged 201.5 ± 8.5 and 205.7 ± 12.6 rad · s−1 in treated and nontreated cells, respectively. At this time point KB averaged 32.0 ± 2.6 μM in SGK1TS425D-expressing cells and 29.0 ± 2.3 μM in control cells. Therefore, the blocker binding site appears to be conserved between the two groups of cells. Moreover, the values for CDPC blocker kinetics reported here are typical for ENaCs in frog skin (Els and Helman, 1997) and A6 epithelia (Els et al., 1998).

Impedance Analysis

On completion of noise analysis, 100 μM amiloride was added to the apical perfusion solution and the transepithelial impedance was measured under amiloride-blocked conditions. The impedance locus conformed to a depressed Nyquist semicircle (unpublished data) at frequencies above 100 Hz as described previously (Paunescu and Helman, 2001). Tetracycline-treated A6 cells exhibited a qualitatively similar frequency-dependent ZT, but with lower mean values of the magnitude of ZT than the control group measured both 10 and 20 min after exposure to amiloride. The lower impedance values in the tetracycline-treated cells, including lower Z

\(\begin{array}{l}\mathit{dc}\\meas\end{array}\)
values, were to be expected, given the higher rates of transport and lower transepithelial resistances seen in these cells.

The Ceq* was found to be frequency dependent as shown previously, exhibiting an apparent Cole–Cole α dielectric relaxation process (Paunescu and Helman, 2001). Fig. 5 shows a summary of the average absolute value of |Ceq*| calculated at 20 min after exposure to amiloride in control and tetracycline-treated cells. In control A6 epithelia mean |Ceq*| decreased from 1.50 ± 0.06 μF/cm2 at 2.7 Hz to 1.14 ± 0.04 μF/cm2 at 2.4 kHz (n = 8). Average |Ceq*| of SGK1TS425D-expressing cells behaved in a similar frequency-dependent manner, decreasing at the same time point from 1.71 ± 0.07 μF/cm2 at 2.7 Hz to 1.30 ± 0.04 μF/cm2 at 2.4 kHz (n = 7). Despite the dependency of |Ceq*| on frequency, the statistically significant increase of cell capacitance due to SGK1TS425D expression was evident at each and every frequency point. The calculated E/C values for the mean |Ceq*| in the two groups of monolayers at all frequencies revealed that mean |Ceq*| in tetracycline-treated cells was on average 13.7 ± 0.1% higher than in nontreated cells (n = 103 frequency points in the 2.7 Hz to 2.4 kHz range).

Effects of SGK1TS425D Expression on Steady-State Abundance of Total and Cell Surface xENaC Subunits

We investigated whether the increase in the number of functional channels (NT) observed by noise analysis was associated with a similar increase in the abundance of xENaC subunits in the apical membrane. The effects of SGK1TS425D expression were compared with those induced by aldosterone, which we have shown previously to occur by increased synthesis and steady-state abundance of the three xENaC subunits in A6 cells (Alvarez de la Rosa et al., 2002). To measure surface expression of xENaC we biotinylated apical proteins of cells grown on permeable supports and analyzed the abundance of subunits by Western blotting with specific polyclonal antibodies. Fig. 6 A shows Western blots of A6 cells examined under three different conditions: control cells incubated on serum-free medium overnight; cells treated with 100 nM aldosterone overnight; and cells treated with 1 μg/ml tetracycline overnight to induce the expression of SGK1TS425D. Samples from whole-cell homogenates (total protein) were run in parallel to samples of biotinylated proteins (plasma membrane). As described previously (Alvarez de la Rosa et al., 2002), the α subunit from A6 cells migrates in SDS-PAGE as two bands with apparent mobilities of 85 and 65 kD, due to posttranslational modifications. The β subunit also exhibits two bands (115 and 100 kD), while the γ subunit migrates predominantly as a single band (90 kD). Quantitative analysis of the data is shown in Fig. 6 B. Each bar represents the average of six to nine independent experiments performed in triplicate and normalized to the respective control. The black bars correspond to subunits in the whole-cell lysate, whereas the empty bars correspond to the subunits expressed in the plasma membrane. The results indicate that aldosterone increases the total abundance of subunits by four to sevenfold, which is mirrored by a similar change in subunit abundance at the apical membrane, as we have previously shown (Alvarez de la Rosa et al., 2002). In contrast, SGK1TS425D increased the total and apical fraction of each of the three subunits only by 1.6- to 1.9-fold depending on the subunit (Fig. 6 B). The small increase in the abundance of subunits induced by SGK1TS425D cannot account for the much larger increase in the number of functional channels in the membrane measured by noise analysis.

Quantification of Total and Plasma Membrane xENaC in A6 Cells

The previous results suggest that not all channels in the apical membrane participate in sodium transport but there is a pool of inactive channels that can be activated by SGK1TS425D. To test this hypothesis we estimated the total number of xENaC α subunit in the plasma membrane using a quantitative biotinylation approach. A standard curve was constructed with a purified MBP fusion protein containing αENaC sequence used to raise the antibody loaded in decreasing amounts on a SDS-PAGE gel and analyzed by Western blotting with anti-αENaC antibody (Fig. 7, A and B). Signal intensities measured by densitometry were linear between 5 and 20 fmol and were used to construct the standard curve (Fig. 7 B). Samples of total protein and plasma membrane protein recovered by biotinylation from A6 cells grown on filters in control conditions were loaded in parallel lanes of the same Western blot (Fig. 7 C). By comparison with the standard curve we estimated that the content of α subunit was 15.8 fmol in the total protein sample and 6.2 fmol in the cell-surface protein sample. These values allowed to calculate the total amounts recovered from the original 4.7-cm2 filters, which was 455 μg. Assuming a cell surface area of 100 μm2, the filter contained 4.7 × 106 cells. Thus, the total protein sample loaded on the gel (19.5 μg) corresponds approximately to 0.29 × 106 cells and the cell-surface protein sample (61 μg) corresponds to 0.63 × 106 cells. This gives ∼4.7 × 104 molecules of α subunit per cell and 0.6 × 104 molecules in the membrane. If all molecules are forming channels and the stoichiometry of ENaC is 2α:1β:1γ (Firsov et al., 1998), each cell would have a total of 2.35 × 104 channels, 0.3 × 104 of them located in the plasma membrane. In other words, ∼13% of all the α subunits is expressed in the plasma membrane. This number is in agreement with previous results obtained with the A6 parental cell line (Weisz et al., 2000), where it was calculated that ∼20% of each of the subunits is in the plasma membrane. Thus, using a biochemical method to estimate the number of channels in the plasma membrane, we obtained a value that is approximately two orders of magnitude higher than the number of functional channels revealed by blocker-induced noise analysis. Nonetheless, it is important to highlight that this method involves many experimental steps that introduce errors in the quantification, as well as several assumptions that together render the final value somewhat inaccurate. We could not confirm our conclusions with data from the β and γ subunits because of difficulties in the purification of the MBP fusion proteins. Therefore, the results of our calculation should be regarded as a gross estimate rather than a precise value.

xENaC Subunits Half-Life in the Plasma Membrane

It has been proposed that SGK1 decreases the rate of ENaC endocytosis by down-regulating Nedd4 ubiquitin ligase activity (Debonneville et al., 2001; Snyder et al., 2002). To test whether SGK1 changes the rate of endocytosis of ENaC, we examined the half-life of the channel subunits in the plasma membrane. We have shown previously that the three xENaC subunits have a half-life of ∼15 min in the apical membrane of A6 cells and that most of the endocytosed channels are subsequently degraded in lysosomes (Alvarez de la Rosa et al., 2002). Moreover, aldosterone does not affect the half-life of ENaC at the apical membrane. In the present study, we compared the three xENaC subunit half-lives in control cells and in cells treated with tetracycline by pulse-chase experiments of biotinylated apical plasma membrane proteins. After biotinylation at 4°C filters were returned to the incubator for different periods of time before cells were lysed and proteins were analyzed by Western blot with specific anti-xENaC subunits antibodies. Fig. 8 A shows typical Western blots of the degradation of apical xENaC subunits in control cells or in cells expressing SGKTS425D. Fig. 8 B shows plots of normalized signal intensities fitted to a single exponential. No statistical difference was observed between the two groups at any time point (n = 4–5). The calculated half-life was ∼16 min for α subunits, 15 min for β subunits, and 16 min for γ subunits, all consistent with previously reported values in A6 cells (Alvarez de la Rosa et al., 2002).

Effects of SGK1TS425D on the Rate of Synthesis of xENaC Subunits

The relatively small but significant increase (1.6- to 1.9-fold) in total and plasma membrane xENaC subunits (Fig. 6) could be due to an increased rate of synthesis, a decreased rate of degradation or a combination of both processes. We examined xENaC subunits rates of synthesis in cells expressing SGKTS425D and compared them with the rates of synthesis in cells stimulated overnight with aldosterone. Cells were metabolically labeled for 15 min and xENaC subunits were then immunoprecipitated with specific antibodies under conditions optimized for quantitative recovery of antigens. Immunoprecipitation products were separated on a SDS-PAGE and exposed to film. Fig. 9 A shows an autoradiograph of a representative experiment performed in triplicate. The three xENaC subunits migrate as single bands because during the 15-min labeling period posetranslational modification have not yet occurred (Alvarez de la Rosa et al., 2002). Fig. 9 B shows the average values obtained in five independent experiments normalized to control. Consistent with our previous results aldosterone increased the rate of synthesis of the three xENaC subunits by 3.4- to 9.4-fold, depending on the subunit (Alvarez de la Rosa et al., 2002). In contrast, SGK1TS425D did not significantly change the rate of synthesis of any of the subunits (Fig. 9 B).

As changes in synthesis did not account for the small increase in steady-state abundance of xENaC subunits, we investigated the rate of degradation by conducting pulse-chase experiments in control or SGK1TS425D expressing cells. However, we were unable to detect a significant change in the half-life of any of the subunits (unpublished data), most likely because the expected increase was too small to be detected by the technique used.

xENaC Subunits Phosphorylation in the Absence or in the Presence of SGK1TS425D

To further investigate the mechanisms involved in SGK1 effects on ENaC, we studied whether expression of SGK1TS425D changes the state of phosphorylation of xENaC subunits. We compared subunit phosphorylation in cells treated overnight with aldosterone alone or with a combination of aldosterone and tetracycline. As we have described recently, aldosterone does not change the level of phosphorylation of xENaC subunits in A6 cells (Zhang et al., 2004), but it increases the abundance of subunits, markedly improving the signal to noise ratio in phosphorylation experiments. After treatment overnight and labeling with [32P]orthophosphate for 4 h, cells were lysed, and xENaC subunits were recovered by immunoprecipitation. The products were then separated on a SDS-PAGE and exposed to film. Fig. 10 A shows autoradiographies of representative experiments. Consistent with our previous observations, only the 65-kD band of the α-subunit appears to be phosphorylated (Zhang et al., 2004). Quantitative analysis of the data is shown in Fig. 10 B. Bars represent the average values obtained from three independent immunoprecipitation reactions normalized to the aldosterone conditions. No statistically significant change between the two conditions was detected (P values were 0.104, 0.540, and 0.103 for α, β, and γ, respectively). This experiment was repeated twice with similar results. Therefore, SGK1TS425D expression does not affect the phosphorylation levels of any of the three ENaC subunits in A6 cells. Nevertheless, there is a trend toward a small increase in phosphorylation in the three subunits. This is not surprising, since SGK1TS425D expression per se produces a small increase in the steady-state abundance of the three subunits (Fig. 6).

In this study we investigated the mechanism of ENaC regulation by SGK1 in renal epithelial A6 cells using a conditional SGK1 expression system (Alvarez de la Rosa and Canessa, 2003). We combined biophysical methods of noise analysis with biochemical methods of cell surface biotinylation and metabolic labeling. Noise analysis experiments assess only blocker-sensitive functional channels directly involved in transport at the apical membrane, whereas biochemical techniques estimate the number of channel subunits, regardless of whether they are involved in transport or not. This distinction is important for the interpretation of the results because the abundance of α subunits estimated to be present in the apical membranes far exceeds the number of functional channels involved in transport, even considering the uncertainties involved in our estimation. Accordingly, only a very small fraction of subunits present in the plasma membrane are involved directly in mediating sodium transport. Therefore, it is prudent to recognize that changes of subunit abundance measured biochemically reflect changes predominantly of nonfunctional subunits, which may or may not occur in parallel to those subunits actually involved in transport of sodium through functional channels. Previous studies measuring amiloride-sensitive currents and the abundance of cell-surface subunits in Xenopus oocytes and transfected MDCK cells, concluded that expression of ENaC subunits at the cell surface far exceeds the number of subunits involved in sodium transport (Firsov et al., 1996; Morris and Schafer, 2002), indicating that excess expression of subunits is not unique to A6 cells.

Taking into account this caveat, we compared the effects of aldosterone and SGK1 on NT, Po, and subunit abundance. Noise analysis showed that SGK1 stimulates transport by a fourfold increase of NT and a lesser but important 43% increase of Po. Biotinylation experiments revealed that SGK1 increases the steady-state abundance of total ENaC subunits in whole cells and in the apical membranes by 1.6- to 1.9-fold, without detectable changes in subunit synthesis or half-life in the membrane. However, such relatively small increases of subunit expression cannot alone account for the fourfold increases of NT. In contrast, aldosterone has been shown to increase ENaC NT without significant changes in Po (Helman et al., 1998) but with parallel increases in subunits synthesis and steady-state abundance (Alvarez de la Rosa et al., 2002). By mass law action it seems reasonable to expect that aldosterone increases the amount of subunits associated with apical membrane functional channels, in parallel with increases of subunits not associated with functional channels that reside not only in the apical membranes but also within the cells. To the extent that only a small proportion of the apical membrane subunits are associated with functional channels, it is virtually impossible to know with certainty whether the increases of functional channels were due to activation of channels already within apical membranes and/or by exocytic/endocytic trafficking of subunits to and/or from the apical membranes by examination of the biochemical data alone. Nevertheless, the observation that there is a parallel proportional increase of subunits and functional channel densities caused by aldosterone suggests that the increase of NT is due to increased subunit synthesis.

In contrast to aldosterone, it is necessary to invoke the idea that in addition to increasing Po, SGK1 activates non functional channels or channels with low Po already present in the apical membrane and/or alters the rate of insertion/retrieval of functional channels in the membrane. Given the large excess of subunits within the apical membrane and intracellular space, it is presently impossible to know which pools of subunits are depleted to account for the increase of NT. We measured the rate of subunits retrieval from the plasma membrane and found that it was not changed by SGK1TS425D, in contrast to the predicted decrease if SGK1 controls ENaC endocytosis (Kamynina and Staub, 2002). We cannot discard, however, the possibility that the overall rate of ENaC subunit endocytosis does not reflect the rate of endocytosis of channels involved in sodium transport. Accordingly, functional channels could be retrieved from the membrane at a different rate than nonfunctional subunits.

Changes in capacitance are commonly used as an index of change in membrane area. Increases of capacitance would allow for the possibility that increases of functional channels could be mediated by insertion of channels to the apical membrane. Therefore, we examined whether SGK1 changed apical membrane capacitance. Indeed, capacitance was increased 13.7% by SGK1 while NT was increased from a mean of 8.4 to 34.2 functional channels/100 μm2. Depending on vesicle size as noted previously in confocal imaging trafficking studies in A6 epithelia (Butterworth et al., 2001), increases of membrane area normalized to planar surface area would be expected to fall in the range of ∼1% and 20% if vesicle diameter ranged between 0.1 and 0.5 μm, respectively. To the extent that vesicles may contain more than one channel or none at all, and despite the fact that the observed increases of capacitance are in the range expected, it remains necessary to show that vesicles actually contain subunits at the appropriate stoichiometries and densities before concluding that SGK1 uses insertion of channels as a mechanism for regulation of apical membrane functional channel densities. It is also conceivable that the observed increase in capacitance reflects increased delivery of vesicles that expands membrane area without changes in ENaC subunit density. The 3-phosphoinositide-dependent protein kinase-1 (PDK1), which phosphorylates and activates SGK1 (Kobayashi and Cohen, 1999; Park et al., 1999), is known to play an essential role in regulating cell size. PDK-null mice are 40–50% smaller than control animals and the change in body size is due to a 35–60% reduction in cell volume (Lawlor et al., 2002). Therefore the change in capacitance in A6 cells could reflect cross-activation by SGK1TS425D of signaling pathways that control cell size.

As part of the effort to understand the molecular mechanisms involved in ENaC regulation by SGK1, we also studied whether the expression of the kinase induced phosphorylation of xENaC subunits. We observed that SGK1TS425D did not alter the phosphorylation of any of the three subunits. However, it is important to notice that these experiments compare phosphorylation levels of the entire pool of subunits, making it difficult to detect changes in phosphorylation that affect only a subset of subunits. Therefore, the possibility of phosphorylation of only the pool of channels that is activated by SGK1 cannot be ruled out completely.

The studies reported here illustrate the difficulty of combining biophysical and biochemical data to arrive at conclusions regarding mechanism of regulation of apical membrane transport. On one hand, the biophysical data indicate that a relatively small number of subunits, both absolutely and relative to those present within the cells and apical membranes, are actually involved in sodium transport. On the other hand, the high excess number of subunits that exists in various pools both within the apical membrane and the cytosol provides a background noise level that makes it difficult to determine the density of functional channels actually involved in transport. Nevertheless, it is important to know quantitatively the magnitude and changes in direction of the various pools of subunits in different membrane compartments. In this regard, it is clear that, unlike aldosterone, SGK1-induced increase in subunit densities is not proportional to the increase in NT. Moreover, SGK1 increases ENaC Po, whereas aldosterone does not affect it (Helman et al., 1998). Taken together, these observations indicate that the mechanisms involved in ENaC stimulation by SGK1 are different to those of aldosterone, at least in A6 cells. In contrast to aldosterone where stimulation of transport can be explained simply by increase of subunit synthesis, both in the early as well as in the late phase of the response (Alvarez de la Rosa et al., 2002), it is necessary to invoke at least three actions of SGK1: (1) increase of ENaC Po; (2) increase of subunit densities within apical membranes and intracellular compartments; and (3) activation of one or more pools of preexistent subunits/channels within the apical membranes and/or intracellular compartments. These results are consistent with our previous study showing that SGK1 and aldosterone effects on ENaC activity are additive in A6 cells (Alvarez de la Rosa and Canessa, 2003). This study raises additional questions for the understanding of SGK1 effects in sodium transport, especially concerning the nature of the modification and/or processes that increase ENaC NT and Po without parallel changes in steady-state subunit abundance.

We thank Dr. Joseph F. Hoffman for his comments on the manuscript.

This work was supported by a research fellowship from the National Kidney Foundation to D. Alvarez de la Rosa and by National Institutes of Health grant PO5-HL 55077 to C. Canessa.

Lawrence G. Palmer served as editor.

D. Alvarez de la Rosa's present address is Unidad de Farmacología, Facultad de Medicina, Universidad de La Laguna, 38071 La Laguna, Tenerife, Spain.

Abbreviations used in this paper: Ceq*, equivalent cell capacitance; CDPC, 6-chloro-3,5-diamino-pyrazine-2-carboxamide; E/C, experimental vs. control ratio; ENaC, epithelial sodium channel; fc, corner-frequency; INa, blocker-sensitive sodium currents; iNa, single-channel current; Isc, short-circuit current; KB, blocker equilibrium constant; kob, blocker on rate coefficient; kbo, blocker off rate coefficient; No, open channel density; NT, functional channel density; PDS, power density spectra; PDK1, 3-phosphoinositide-dependent protein kinase-1; Po, open probability; RT, transepithelial electrical resistance; SGK1, serum and glucocorticoid-induced kinase 1; SGK1TS425D, transfected constitutively active kinase SGK1; So, low-frequency plateau value; TetO, tetracycline operator; TetR, tetracycline repressor; Voc, transepithelial open-circuit voltage; xENaC, Xenopus laevis epithelial sodium channel; Zmeas, measured impedance; ZT, transepithelial electrical impedance.

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