Abstract
Aims: Glucose-stimulated insulin secretion (GSIS) in pancreatic β cells was expected to enhance mitochondrial superoxide formation. Hence, we elucidated relevant redox equilibria.
Results: Unexpectedly, INS-1E cells at transitions from 3 (11 mM; pancreatic islets from 5 mM) to 25 mM glucose decreased matrix superoxide release rates (MitoSOX Red monitoring validated by MitoB) and H2O2 (mitoHyPer, subtracting mitoSypHer emission). Novel double-channel fluorescence lifetime imaging, approximating free mitochondrial matrix NADHF, indicated its ∼20% decrease. Matrix NAD+F increased on GSIS, indicated by the FAD-emission lifetime decrease, reflecting higher quenching of FAD by NAD+F. The participation of pyruvate/malate and pyruvate/citrate redox shuttles, elevating cytosolic NADPHF (iNAP1 fluorescence monitoring) at the expense of matrix NADHF, was indicated, using citrate (2-oxoglutarate) carrier inhibitors and cytosolic malic enzyme silencing: All changes vanished on these manipulations. 13C-incorporation from 13C-L-glutamine into 13C-citrate reflected the pyruvate/isocitrate shuttle. Matrix NADPHF (iNAP3 monitored) decreased. With decreasing glucose, the suppressor of Complex III site Q electron leak (S3QEL) suppressor caused a higher Complex I IF site contribution, but a lower superoxide fraction ascribed to the Complex III site IIIQo. Thus, the diminished matrix NADHF/NAD+F decreased Complex I flavin site IF superoxide formation on GSIS.
Innovation: Mutually validated methods showed decreasing superoxide release into the mitochondrial matrix in pancreatic β cells on GSIS, due to the decreasing matrix NADHF/NAD+F (NADPHF/NADP+F) at increasing cytosolic NADPHF levels. The developed innovative methods enable real-time NADH/NAD+ and NADPH/NADP+ monitoring in any distinct cell compartment.
Conclusion: The export of reducing equivalents from mitochondria adjusts lower mitochondrial superoxide production on GSIS, but it does not prevent oxidative stress in pancreatic β cells.
Keywords: mitochondrial superoxide generation, pancreatic β cells, glucose-stimulated insulin secretion, Complex I, NADH/NAD+ ratio, fluorescence lifetime imaging
Introduction
The bioenergetics of pancreatic β cells was considered to be relatively well understood (10, 32, 33). Mitochondria of β cells represent the perfect glucose sensor, participating in glucose-stimulated insulin secretion (GSIS) (2, 20, 28, 32, 33, 52, 55). Glucose sensing was considered to be exclusively coupled with insulin exocytosis by elevated ATP, stemming from augmented glucose metabolism and oxidative phosphorylation (OXPHOS). However, recently we revealed that, in addition to ATP, also a parallel redox signaling from NADPH oxidase 4 (NOX4) is essential for GSIS (48). In β cells, the insulin-independent glucose transporter GLUT2 (in rodents) allows cell glucose equilibration with plasma glucose levels. Glycolysis is 100% restricted to the pyruvate dehydrogenase (PDH) and pyruvate carboxylase reaction followed by OXPHOS (Fig. 1A, B) (2, 10, 32, 33, 52, 55). The concomitantly increased ATP/ADP ratio within the sub-plasma-membrane cytosolic microdomain was believed to be sufficient to induce the closure of ATP-sensitive potassium (KATP) channels, thus depolarizing the plasma membrane and activating voltage-gated L-type Ca2+channels (CaL) (2, 52, 55). However, we demonstrated that a parallel H2O2 burst is essentially required to close the KATP channel, together with ATP. Any single component (sole ATP or sole H2O2) is not sufficient to stimulate insulin secretion (48). The resulting Ca2+ influx elevates cytosolic Ca2+ concentration and stimulates Ca2+-dependent exocytosis of insulin-containing granules.
Innovation
The concomitant decline in superoxide/H2O2 release to the mitochondrial matrix was documented by three mutually validated methods to be dependent on the operation of three redox shuttles on glucose-stimulated insulin secretion in INS-1E cells. Fluorescent iNAP3 and iNAP1 probes indicated a decrease in matrix and an increase in cytosolic NADPHF. The latter was confirmed by novel double-channel fluorescence lifetime imaging, which together with elevated β-hydroxybutyrate indicated increasing matrix NAD+F at lowered NADHF, hence decreasing NADHF/NAD+F ratios. Inspections of superoxide formation sites by S3(1)QEL identified the Complex I IF site as the one that decreased superoxide formation when there was a diminished NADHF/NAD+F ratio.
β Cell mitochondria represent a highly relevant source of reactive oxygen species (ROS) (1, 16, 30, 31, 39). Superoxide is primarily formed and converted to H2O2 by manganese superoxide dismutase (MnSOD) or copper-zinc superoxide dismutase (CuZnSOD) in the mitochondrial matrix or intermembrane space, respectively (8, 11, 30, 31). The resulting H2O2 may also serve as a signaling molecule (50). Indeed, insulin release is also stimulated due to the elevated superoxide formation by β-like oxidation of branched-chain keto-acids in mitochondria, wherein superoxide is converted to “signaling” H2O2, diffusing up to the KATP channel to aid its closure (48). However, whether such matrix redox burst exists in glucose metabolism is not yet resolved.
Concomitantly, three described redox shuttles export reducing equivalents from the mitochondrial matrix into the cytosol on GSIS in pancreatic β cells (34): (i) the pyruvate/malate, (ii) pyruvate/citrate, and (iii) pyruvate/isocitrate shuttle (Fig. 1A, B) (35). Their operation should elevate cytosolic NADPH production at the expense of matrix NADH. The first two shuttles deliver substrates for the cytosolic malic enzyme (ME1) (34), and the third one delivers substrates for isocitrate dehydrogenase 1 (IDH1) (22). ME1 and IDH1 subsequently produce NADPH. The pyruvate carrier (PyrC) and 2-oxoglutarate carrier (2OGC) and matrix malate dehydrogenase (MDH) are essential for the pyruvate/malate shuttle (34), PyrC and citrate carrier (CitC) and ATP-citrate lyase represent the pyruvate/citrate shuttle (34) and 2OGC and CitC plus matrix NADPH-consuming isocitrate dehydrogenase 2 (IDH2), acting in the reductive carboxylation mode (59), are essential for the pyruvate/isocitrate shuttle (Fig. 1A) (22, 34). Invariably, these redox shuttles presumably elevate cytosolic NADPH when active. GSIS is then slightly facilitated by the resulting NADPH increase (22, 35, 52) that adds to the production of pentose-phosphate pathway (PPP) supplying NOX4 (48). For each molecule of malate or citrate/isocitrate exported from the mitochondrial matrix by the respective shuttle, one molecule of NADH should be missing for Complex I, since MDH or isocitrate dehydrogenase 3 (IDH3) (otherwise producing NADH) cannot use their substrates. Thus, mitochondrial matrix NADH formation is predicted to be lower and the matrix NAD+ is assumed to accumulate on GSIS. In this work, we aimed at experimentally supporting this scheme (Fig. 1A; Hypothesis I).
Mitochondrial superoxide formation takes place as an inevitable side reaction of electrons with oxygen within the sites of mitochondrial respiratory chain Complexes I and III, by dysfunctional Complex II, and sites of matrix 2-oxoacid dehydrogenases and cytosolic-oriented glycerol phosphate dehydrogenase (8). In total, 11 different redox sites have been recognized to generate superoxide in mitochondria (8). Under specific conditions, superoxide formation at the Complex I site Iubiquinone (IQ) or Complex III outer (IIIQo) site increases with increasing protonmotive force Δp (18, 25, 29, 45, 57). Consequently, the attenuation of mitochondrial superoxide formation by active OXPHOS can occur on the re-entry of protons into the matrix via the FO membrane sector of the ATP-synthase (18). Superoxide production also diminishes/rises on the acceleration/retardation of cytochrome c shuttling, respectively (the latter independently of Δp) (21, 29, 45, 50), and it depends on ubiquinone homeostasis, or the rate of the reverse electron transport (8, 13, 65).
Finally, superoxide can be generated at the Complex I flavin (IF) site, which resides close to the flavin-binding site at which NADH is oxidized (40, 65). Here, the increased substrate pressure S, defined as the NADH/NAD+ ratio, induces substantial superoxide production (40, 65). Since there is an increased substrate load in pancreatic β cells on GSIS, faster superoxide production could be predicted. However, the activity of the shuttles mentioned earlier may modulate the Complex I substrate pressure in a manner that is still unpredictable.
Questions of whether superoxide formation increases or decreases on GSIS have already been raised. Opinion was ambiguous. With extensive glucose depletion, the effect of substrate load may overcome the suppressing role of H+ returning via the ATP-synthase. Accordingly, increasing mitochondrial ROS on GSIS has been observed (5, 41, 56). Increasing ATP with decreasing ADP was predicted to diminish mitochondrial ROS formation (23). Indeed, it has been demonstrated for rat pancreatic islets (PIs) that stimulation with glucose reduced the mitochondrial oxidation of roGFP2-Orp1 (15). The superoxide-suppressing role of H+ re-entry via the FO sector of the ATP-synthase at a higher intensity of OXPHOS might predominate (37). Also, total reducing equivalents were reported to be increased on GSIS (47). However, the addition of pyruvate alone to PIs increased cellular NADPH without increasing NADH, in contrast to glucose that increased both (53).
To elucidate changes associated with redox homeostasis on GSIS, we have introduced several novel methods to assess nicotinamide nucleotides in the separate compartments of the mitochondrial matrix and cytosol. Moreover, confocal microscopy monitoring with selective fluorescence probes enabled us to study mitochondrial matrix superoxide and H2O2 generation on the sudden addition of glucose. This approach was validated by using a MitoB probe to monitor ROS accumulation (14, 36, 67, 68). Therefore, by independent means, we provide several lines of unequivocal evidence for a diminished mitochondrial superoxide production on GSIS due to the elevated operation of redox shuttles.
Results
GSIS increases mitochondrial respiration and membrane potential in INS-E cells
Unlike with initial 11 mM glucose, INS-1E cells preincubated with 3 mM glucose for 2 or 15 h in cultivation medium responded to the addition of glucose (25 mM final concentration) by significantly increasing their respiration in the cultivation medium, phosphorylating/nonphosphorylating respiration ratio (Rr, Fig. 2A, B), parameter Ar (Fig. 2C), and mitochondrial inner membrane potential ΔΨm (Fig. 2D). A strict correlation was found between the ratio Rr and total ATP levels (Fig. 2Ea) or local ATP in the cytosol (excluding ATP signal from insulin granules; Fig. 2Ea, Eb) and mitochondrial matrix ATP (Fig. 2Eb, Ed), assayed by using the respective FRET-based ATeam biosensors. Notably, Rr represents valid estimates of ATP synthesis (OXPHOS activity) required for GSIS (Fig. 2F). In INS-1E cells (Fig. 2B,C) and isolated PIs (Fig. 2Ec), an array of phosphorylating states exists within a sharp hyperbolic increase versus glucose concentration in Rr (Fig. 2B) (60) or Ar (a fraction of respiration used for ATP synthesis calculated as phosphorylating minus nonphosphorylating respiration normalized to maximum, that is, uncoupled respiration; Fig. 2C). Both were assayed in Krebs-Ringer HEPES buffer containing bovine serum albumin (KRHBSA) after a 1-h preincubation in KRHBSA containing 3 mM glucose. In cells, a steep increase was found between 3 and 8 mM with the half-maxima of Rr and Ar at ∼3.5 and 4 mM glucose, respectively, and saturation above 8 mM glucose (Fig. 2B, C).
Silencing the cytosolic malic enzyme, ME1 insignificantly inhibited respiration at low and high glucose, whereas H+-leak-driven (nonphosphorylating) or maximum (uncoupled) respiration rates were equal (Fig. 2G and Supplementary Fig. S1Aa, Ab). Comparing oxygraph record pairs separately, Rr decreased by ∼15% and Ar by ∼25% (Fig. 2H). Etomoxir, an irreversible inhibitor of carnitine palmitoyltransferase-1 that blocks fatty-acid β-oxidation (28), did not affect the Rr (Ar) elevations on transitioning to high glucose (Fig. 2I and Supplementary Fig. S2Aa, Ab). Similarly, inhibiting Ca2+ uptake into mitochondria with ruthenium red had no effect on Rr and Ar (Fig. 2I), neither on respiration (Fig. S2Ba, Bc). However, elimination of Ca2+efflux through the Ca2+/Na+-antiporter using CGP37157 inhibited phosphorylating respiration (down to 30–40%), H+-leak-driven respiration, and elevations in ATP synthesis (Fig. 2I and Supplementary Fig. S2Bb, Bc). Silencing of nicotinamide nucleotide transhydrogenase (NNT) in combination with ΔΨm monitoring suggested the existence of forward NNT mode (NADH-, NADP+- plus Δp-consuming, producing NAD+ and NADPH) at both 3 and 25 mM glucose, since ΔΨm increased on NNT silencing (Fig. 2L); cf. Santos et al. (58).
Blockage of PPP with oxythiamine even elevated Rr and Ar with 3 mM glucose (Fig. 2J). Inhibition of CitC with 1,2,3-benzene-tricarboxylate (BTC) did not significantly affect respiration (Supplementary Fig. S1Ca, Cb), Rr, or Ar (Fig. 2J). Amino-transferase/transaminase inhibitor aminooxyacetic acid (AOA) inhibited respiration by 60%, maximum respiration under 10%, and decreased Rr and Ar (Fig. 2K and Supplementary Fig. S2Ca, Ce). Maximum respiration was inhibited under 14% (plus the glucose-induced respiration rise) when glycolysis was blocked with bromopyruvate.
Mitochondrial matrix superoxide release is attenuated on transition to high glucose
First, we positively validated the method employing the time-lapsed acquisition of MitoSOX Red fluorescence confocal microscopy (Supplementary Fig. S3). Therefore, we can interpret the MitoSOX Red fluorescence elevation to be a genuine measure of the increased superoxide release into the mitochondrial matrix. In INS-1E cells routinely cultured with 11 mM glucose, there is a nonzero mitochondrial matrix superoxide release (Fig. 3A–D and Supplementary Fig. S3B). Unexpectedly, a rather sharp decrease in superoxide release into the matrix was observed after the addition of glucose (25 mM final) (Fig. 3A and Supplementary Fig. S3G). The corresponding estimates of superoxide release into the matrix Jm decreased and remained low (Fig. 3A, C). The Jm, rates represent slopes of increase in integral fluorescence (Fig. 3B and Supplementary Fig. S3G). These values accounted for ∼45% of Jm values before glucose addition (Fig. 3C). Such a drop could not originate from the decreasing ΔΨm, even if MitoSOX Red fluorescence depended on ΔΨm (which is not the case, see Supplementary Fig. S3). This is because ΔΨm increases after glucose addition (Fig. 2D) (60). Moreover, the data were qualitatively similar on NNT silencing (Supplementary Fig. S2Dc).
MnSOD (Supplementary Fig. S4A) and total superoxide dismutase (SOD) activities (Supplementary Fig. S4B), measured in parallel, were constant. We also preincubated INS-1E cells in medium containing only 3 mM glucose for 15 h (Fig. 3A, C) or 2 h (Fig. 3D and Supplementary Fig. S3E–G), which also exhibited diminished Jm after glucose addition (Fig. 3A, C and Supplementary Fig. S3E–G), with a sharp decline between 4 and 9 mM glucose (Fig. 3D), thus precisely matching glucose-dose dependencies for Rr and Ar (Fig. 2B, C). This was not observed in completely glucose-depleted cells (Fig. 3A).
To demonstrate the independence of MitoSOX Red responses on the plasma membrane potential (ΔΨp), we determined the influence of ΔΨp changes on Jm rates. Despite having ΔΨp depolarization induced with glibenclamide before the addition of glucose or blocked with cromakalim, the obtained responses to glucose were equal (Supplementary Fig. S3E, F). The basal Jm rates were on average 1.7 ± 0.1 times and 1.2 ± 0.3 times higher than for INS-1E cells preincubated for 25 h (Fig. 3A, C) and 2 h (Supplementary Fig. S3E, F) with 3 mM glucose, respectively. The additions of 25 mM glucose caused these Jm rates to drop on average to 40% of the basal Jm rate (Fig. 3C). This corresponds to 44% of Jm before the addition of glucose to cells cultivated with 11 mM glucose (denoted as J11m0; Fig. 3C). MnSOD and total SOD activities were constant (Supplementary Fig. S4A, B).
Isolated PIs kept in 5.5 mM glucose exhibited a similar decrease in Jm after glucose supplementation to 25 mM (Fig. 3E). For this assay, confocal monitoring was replaced with fluorimetry, while surveying fast-recorded MitoSOX Red spectra over the time course of the experiment (Supplementary Fig. S3H).
Next, we verified the MitoSOX Red confocal monitoring data by using a MitoB probe and liquid chromatography–mass spectrometry (LC-MS) quantification of its oxidized product MitoP (14, 36, 67, 68). Using an identical experimental set-up, but prolonged to 2 h after the addition of glucose, we clearly found less MitoP formed after high-glucose (25 mM) 2-h treatment when compared with 3 mM glucose. This was reflected by the lower MitoP/(MitoB+MitoP) ratios in INS-1E cells (Fig. 3F, left panel) and PIs (Fig. 3G, H). Again, similar data were obtained on NNT silencing (Supplementary Fig. S2Dd) and in PIs isolated from NNT-deficient C57BL6/J (Fig. 3G) and NNT-normal C57BL6/N mice (Fig. 3H), evidencing that the NNT absence in INS-1E cells and in C57BL6/J mice (58) does not affect the ROS decline on GSIS. This decline persisted also after 2 h of incubation with high glucose, when monitored with MitoSOX Red (Supplementary Fig. S5A, B). An entirely opposite response was found when Mito-paraquat was added to elevate oxidative status in the mitochondrial matrix of INS-1E cells (Fig. 3F, right panels). In conclusion, independent verification by LC-MS and MitoB confirmed diminished mitochondrial superoxide formation on GSIS.
Glucose-induced decrease in Jm rates was also observed in the presence of etomoxir (Fig. 4A) (24), AOA (of a lower extent) (Supplementary Fig. S2Cc), and when the malate/aspartate shuttle (Fig. 1B) (42) should be eliminated by silencing the participating aspartate/glutamate antiporters SLC25A12/AGC1/aralar and SLC25A13/AGC2 or both, independently of glutamine presence (Fig. 4B). Glutamine itself decreased Jm rates, due to the accelerated respiration, and also due to the malate/aspartate shuttle blockage, which decreased Jm rates at 3 mM glucose down to 55–70% (Fig. 4B). Similarly, ruthenium red, a blocker of the Ca2+ uniporter (Fig. 4A), and PPP inhibitors (6-aminonicotinamide [6AN] and oxythiamine) (Fig. 4C) elicited a similar outcome.
Analogical patterns were obtained with MitoB (Fig. 4D–F), despite a massively higher H2O2 accumulation at 3 mM glucose with etomoxir, ruthenium red, CGP37157, at inhibited PPP, and when omitting glutamine. The declines with etomoxir, at inhibited PPP, and without glutamine were high (Fig. 4D–F). Due to the inhibition of respiration/OXPHOS, the observed decrease in accumulated ROS (and also the onset of oxidative stress with ruthenium red) was relatively nonspecific on blockage of the Ca2+/Na+ efflux with CGP37157 (Fig. 4D). The discrepancy of increasing accumulated ROS versus the MitoSOX assay results could stem from such nonspecific effects. Nevertheless, there was a decrease in the 2 h-accumulated ROS with AOA and when the malate/aspartate shuttle (42) was eliminated by silencing SLC25A12/AGC1/aralar or SLC25A13/AGC2 and both (Fig. 4E and Supplementary Fig. S2Cb, Cd).
Mitochondrial matrix H2O2 release slows down in INS-1E cells on glucose addition
Using mito-HyPer, a H2O2 selective protein-based probe targeted to the mitochondrial matrix (4), we monitored time courses of H2O2 release into the mitochondrial matrix under identical conditions to the MitoSOX Red monitoring. As expected, the corresponding JmH2O2 rates decreased on GSIS, hence independently confirming MitoSOX Red results by a third methodical approach.
To eliminate any possible dependency of mito-HyPer on pH, the H2O2-insensitive probe mito-SypHer was used in parallel (15). Any interfering contribution of pH was compensated for by subtracting mito-SypHer from the mito-HyPer fluorescence signal. The signal was calculated as the integral of fluorescence in the regions of interests (ROI) per unit area within the equal area of the mitochondrial network for each of two excitations at 488 and 405 nm. The resulting differential fluorescence data (ΔF) were used to calculate the R(H2O2) ratios of corrected mito-HyPer emission excited at 488 versus 405 nm (R(H2O2) = ΔF H485/ΔF H405) (Fig. 3I). Despite having an approximate calibration, that is, since not all of the externally added H2O2 penetrates into the mitochondrial matrix and influences the probes localized there, we expressed the slopes of the derived dependencies as upper limits to rates of H2O2 production JmH2O2 in nmol·s−1.
The main features of the resulting H2O2 monitoring (Fig. 3I–N) were as follows: In the presence of rotenone, a permanently increased R(H2O2) was observed, giving a certain positive JmH2O2 rate and reflecting the H2O2 release into the mitochondrial matrix (Fig. 3K, L). In contrast, relatively negative JmH2O2 rates were obtained for INS-1E cells in 3 (Fig. 3I) and 11 mM glucose (Fig. 3J), thus indicating either an actual H2O2 efflux from the mitochondrial matrix or alternatively a decrease in H2O2 formation (the two options being indistinguishable). The subsequent glucose addition (25 mM) led to a further decrease in H2O2 release into the mitochondrial matrix (or an increase in H2O2 efflux, or alternatively both). Consequently, higher negative JmH2O2 rates were apparent at 25 mM glucose (Fig. 3M, N). This qualitatively confirms the results obtained by using MitoSOX Red superoxide monitoring (Fig. 3C) or MitoB (Fig. 3F).
Validation of positive/negative JmH2O2 rate transitions was done by using mitochondria-specific antioxidants, which prevent rotenone-induced superoxide generation, and hence H2O2 formation in mitochondria in vivo. Mitochondria-targeted antioxidants, SkQ1 and suppressor of Complex I site Q electron leak (S1QEL) changed the positive JmH2O2 rates into negative ones. These results reflect the powerful antioxidant action of these agents within the mitochondrial matrix (Fig. 3K, L).
Mitochondrial matrix superoxide release at blocked redox shuttles
Three redox shuttles in pancreatic β cells should hypothetically facilitate GSIS by exporting reducing equivalents from the mitochondrial matrix into the cytosol (34), where ME1 or IDH1 produces NADPH (Fig. 1A) (35). It should be noted that two PPP enzymes also form NADPH. Since such export of reducing equivalents should affect matrix redox homeostasis, we evaluated changes in the matrix superoxide release Jm (Fig. 4H) and 2-h accumulation of H2O2/ROS in INS-1E cells (Fig. 4I) and PIs (Supplementary Fig. S6) while blocking the redox shuttles by inhibiting citrate transport with BTC (35) (Fig. 4H and Supplementary Figs. S1Ca and S2Dc) and 4-chloro-3-[[(3-nitrophenyl)amino]sulfonyl]-benzoic acid (CTH) (Fig. 4I); and also inhibiting 2OGC by n-butylmalonate (Fig. 4H, I and Supplementary Fig. S1Da). In the presence of mitochondrial metabolite carrier inhibitors, Jm rates increased (Fig. 4H) and H2O2/ROS accumulation did not significantly change or, in some instances, even increased on glucose addition (Fig. 4I and Supplementary Fig. S6).
INS-1E cells with silenced ME1 (or ME1 plus CitC) exhibited much higher Jm rates at 3 or 11 mM glucose, which were less retarded or were increased on glucose addition (25 mM) when compared with samples with scrambled small interfering RNA (siRNA) (Fig. 4J and Supplementary Fig. S1Ab). This was confirmed by MitoB (Fig. 4K, L). Glucose-induced decreases in 2-h accumulation of H2O2/ROS ceased with ME1 silencing (Fig. 4K, L). Thus, the redox shuttle turnover was retarded, due to the blockage of key components by silencing (90% of ME1 transcript vanished, and 60% of CitC transcript when silenced simultaneously, or 90% when alone; Supplementary Fig. S1Ab). The slower metabolic turnover resulted in higher superoxide release to the mitochondrial matrix. Similarly, the silencing of IDH2 allowed by ∼20% lower decline of Jm rates on transition from 3 to 25 mM glucose (Supplementary Fig. S2Eb, Ec) reflected the shutdown of only one among the three shuttles (Supplementary Fig. S2Ea). In MitoB response, analogical decline vanished with IDH2 silencing (Supplementary Fig. S2Ed).
In INS-1E cells with silenced pyruvate carboxylase, the decline in Jm rates was unchanged, but with the simultaneous inhibition of CitC using BTC, the mitochondrial matrix superoxide release doubled (Fig. 4C and Supplementary Fig. S1Ba, Bb). Also the decline in accumulated H2O2/ROS was more pronounced, but the further addition of BTC again led to a high oxidative stress at low and high glucose, which was much higher for the latter (Fig. 4G).
Mitochondrial redox shuttles are responsible for the increase in cytosolic NADPH and matrix NAD+ on GSIS
An enzyme-based assay of the total cell NADPH confirmed an increase (>10%) in total NADPH on glucose being set to 25 mM in INS-1E cells (preincubated with 11 or 3 mM glucose; Fig. 5A). This increase was prevented by CitC inhibition with BTC (Fig. 5A) or CTH; and by the 2OGC inhibitor n-butylmalonate (Fig. 5A). Parallel confocal fluorescence monitoring of free cytosolic NADPHF, using the iNAP1 fluorescence probe (Fig. 5B–D; as compared with the insensitive iNAPc probe, see Fig. 5G), indicated an [NADPHF]c increase on transition from 3 to 25 mM glucose. These changes were prevented or, in some instances, reversed by BTC and n-butylmalonate (Fig. 5B–D and Supplementary Fig. S7). Thus, the active redox shuttles involving CitC and 2OGC provide the export of reducing equivalents from the mitochondrial matrix (Fig. 1A). The data were similar on NNT silencing (Fig. 5D), confirming that the redox shuttles act upstream of NNT. IDH2 silencing insignificantly inhibited the [NADPHF]c elevation (Supplementary Fig. S2Ee), since the two remaining shuttles should be still operating, unlike with BTC in IDH2-silenced cells, which left only one, thus preventing the cytosolic [NADPHF]c elevations.
Simultaneously, the matrix-addressed iNAP3 indicated a decrease in mitochondrial [NADPHF]m on GSIS (Fig. 5E–G). The matrix NADPH/NADP+ homeostasis stems mainly from the complex contribution of NNT, IDH2, and the NADP+-dependent malic enzyme ME3 (Supplementary Fig. S2Da, Ea, Ef). However, the iNAP3-monitored drop in [NADPHF]m was not affected on NNT silencing (Fig. 5E). Figure 5Fa and the simplified S2Ef schematics explain why the matrix [NADPHF]m should not decline on IDH2 silencing. However, we observed only a lesser decline (high decline with BTC; Fig. 5Fb), resulting from an unequal contribution of the considered enzymes.
Accumulation of selected metabolites and citrate/isocitrate export on GSIS
Among Krebs cycle metabolites, citrate, malate, fumarate, and oxaloacetate (OAA) were increased at 20 versus 3 mM glucose (Fig. 6A). Metabolite accumulation reflects either an increase in their supply or a decrease in their utilization (61, 62). An unchanged malate/fumarate ratio could indicate proportional increases in respiration and turnover of this Krebs cycle segment (Fig. 6B). The decreasing citrate/pyruvate ratio reflects more rapid pyruvate utilization with 20 mM glucose. The elevated OAA/pyruvate ratio at the decreasing citrate/OAA ratio supports the increasing pyruvate carboxylase reaction and citrate synthase reaction on GSIS. Also, 2-oxoglutarate (2OG) increased on GSIS, despite being present at lower concentrations due to a high turnover. Estimation of β-hydroxybutyrate (β-OHB) to acetoacetate ratio indicated its insignificant small rise on GSIS (Fig. 6C). The observed β-OHB elevation supports the matrix NAD+ increase (Supplementary Fig. S2Fa) (43, 46), since the rat β-OHB dehydrogenase exists only in the matrix.
The existence of 13C-incorporation, from 1-13C-glutamine into 13C-citrate, 13C-2OG, or 13C-malate, evidenced the operation of the isocitrate/pyruvate shuttle, specifically the reductive carboxylation reaction of IDH2 (Fig. 6D) (59). Despite quantifications of 13C-labeled metabolites in INS-1E cells after a 2-h incubation having lower resolution versus those performed after 6 h (59), we detected about a 1.2-fold rise of 13C-incorporation into 13C-citrate and a 1.1-fold rise of 13C-malate from 1-13C-glutamine, when comparing 3 versus 20 mM glucose. Here, the increased 13C-incorporation represents a higher reaction turnover, since initially, only the natural 13C-content exists in analyzed metabolites. The latter was actually subtracted from the measured data of Figure 6D.
Two-channel fluorescence lifetime imaging microscopy-assessed NADPH and NADH or NAD+ responses to glucose
We also attempted to evaluate changes in the mitochondrial matrix NADH or NAD+ and trends in changes of NADH/NAD+ ratios by using our novel two-channel fluorescence lifetime imaging microscopy (2chFLIM) method (Figs. 7 and 8), which is able to assess these changes without the need of precise quantifications of separate NADH and NAD+ concentrations. In this way, we independently tested our hypothesis that the mitochondrial matrix NADH/NAD+ ratio decreases when the redox shuttles (Fig. 1A) are active (Fig. 8B–E). At first, using the quantification developed by Duchen and colleagues (6), we found that on transitions from 3 or 11 to 25 mM glucose, the ratios of bound species NADPHB/NADHB derived from the 2chFLIM data within chosen ROI did not significantly change in the matrix (Supplementary Fig. S8) and slightly increased in the cytosol (Fig. 8A). Unlike in the nucleus, the cytosolic NADPHB/NADHB ratio decreased on the inhibition of CitC (Fig. 8A).
We then extended Duchen's method to estimate the concentration of free mitochondrial NADH ([NADH]F) based on the Scatchard equation and the assumption of the predominant participation of Complex I. Consequently, [NADH]F was approximated according to eq. {10} from the corresponding decay coefficient νF (Fig. 8B) and the initial NAD(P)H autofluorescence intensity, whereas changes after glucose addition were calculated according to eq. {11} (Fig. 8C–E). These estimates showed that [NADH]F decreased on average by 20% on GSIS (Fig. 8C–E). The coefficient νF itself declined on average by 12% (Fig. 8B). The decrease ceased or changed to an increase in [NADH]F when the citrate export was inhibited with BTC or CTH (Fig. 8C, D) and when ME1 was silenced (Fig. 8E), that is, when blocking at least two redox shuttles.
A faster decay of FAD autofluorescence on GSIS in INS-1E cells was indicated by shorter lifetimes of both bound FAD (a short τ1FAD = τFADB) and free FAD (a longer τ2FAD = τFADF) (Fig. 8F). This could indicate the existence of the augmented quenching of FAD by NAD+, thus indicating an NAD+ increase. Assuming NAD+ in 500–800 μM, the obtained τ2FAD values fit into the 2chFLIM calibration performed in permeabilized cells (Fig. 7G, H). Trends in [NAD+]F changes are summarized in Figure 8F and G. In contrast, when the citrate export was inhibited with BTC (CTH) or ME1 was silenced, both lifetimes of FAD emission either did not significantly change or even increased (Fig. 8F). The latter indicates a partial loss of quenching and could be ascribed to lower [NAD+]F (Fig. 8G). Otherwise, observations of a rise in mitochondrial matrix NAD+ on GSIS further support our Hypothesis I, that the active redox shuttles effectively increase mitochondrial NAD+, not allowing the extensive IDH3 and MDH forward reactions. This leads to the accumulation of matrix NAD+. Obviously, the inhibition of citrate/isocitrate export re-accelerates IDH3, and hence the NAD+ increase ceases. Similarly, the pyruvate/malate and the pyruvate/citrate redox shuttle (requiring also CitC) are dependent on the ME1 reaction, as the ME1 silencing causes the disappearance of the observed changes on GSIS.
Despite several simplifications introduced into our calculations of separate concentrations of nicotinamide nucleotides in the mitochondrial matrix and cytosol, we obtained estimates of NADH/NAD+ ratios in the matrix as decreasing on GSIS (Fig. 8H, I). Both ways, division of the estimated changes in [NADH]F by those in [NAD+]F and the approximation using eq. {15} gave similar results. On CitC inhibition with BTC or CTH and silencing of ME1, the mitochondrial matrix NADH/NAD+ ratios either remained unchanged or increased (Fig. 8H, I).
Origin of mitochondrial matrix superoxide release
To ascribe the fractions of mitochondrial matrix superoxide release in INS-1E cells to specific sites of superoxide formation, we employed suppressors of electron leak (Fig. 9A–D), developed by Brand et al. (9). S1QEL exhibited virtually no antioxidant effect at 3 mM glucose and acted as a pro-oxidant at 11 and 25 mM glucose (Fig. 9A). At the same time, S1QEL exerted a weak antioxidant effect against rotenone-induced superoxide production at 11 and 25 mM glucose (Fig. 9A) (29). These results demonstrate that both rotenone and S1QEL interfere within the IQ site of Complex I in the vicinity of the ubiquinone binding site (29).
In contrast, the suppressor of Complex III site Q electron leak (S3QEL) exhibited an antioxidant effect that increased with increasing glucose, diminishing Jm rates down to 81%, 65%, and 40% at 3, 11, and 25 mM glucose, respectively (Fig. 9B). Indirectly, these results indicate that the remaining portion of the superoxide matrix release, which also includes the contribution from the IF site, decreases with increasing glucose on GSIS. This perfectly correlates with the decreasing substrate pressure S. Thus, on GSIS with maximum glucose, at least 60% of the superoxide released into the mitochondrial matrix originates from the Complex III outer Q site IIIQo (7, 8, 29). In contrast, at 3 mM glucose, the contribution of site IIIQo is only 20% and the remaining superoxide is produced predominantly from the IF site due to the high substrate pressure.
Unexpectedly, S3QEL also exhibited an antioxidant effect against rotenone, being the most efficient at 3 mM glucose (Fig. 9B). The site specificity for Complex III was confirmed by the observation of the nearly complete S3QEL-mediated suppression of superoxide release induced by antimycin A (Fig. 9D). Further, addition of S1QEL together with S3QEL did not further decrease the Jm rates, which remained at 53%, 65%, and 60% at 3, 11, and 25 mM glucose, respectively (Fig. 9C). Comparing this with the effects of S3QEL alone, the slight pro-oxidant action of S1QEL still contributes to the composite effect.
Discussion
We described a decline in mitochondrial superoxide formation during glucose-induced insulin secretion in rat pancreatic β cells (INS-1E cells) and PIs. We not only confirmed the recently reported glucose-induced reduction in oxidation of mitochondrial matrix-targeted roGFP2-Orp1 (15) but also elucidated the mechanism for the decreased pro-oxidant state, established in the mitochondrial matrix on GSIS. A concomitant drop in the matrix NADHF/NAD+F and NADPHF/NADP+F was indicated, in contrast to elevations in the cytosolic NADPHF (Fig. 10A). Since the decreased matrix NADPHF/NADP+F ratio may cause equivalent exhaustion of matrix reduced glutathione (GSH), we may conclude that the acute pro-oxidant state decrease in mitochondria on GSIS is established at the expense of susceptibility to the oxidative stress.
The acute phenomenon results from the finely tuned bioenergetics of the OXPHOS metabolism of glucose, switching toward increasing respiratory chain substrates in pancreatic β cell mitochondria and increasing the activity of three mitochondrial redox shuttles that subsequently export reducing equivalents to the cytosol (Fig. 10B, C). The resulting elevated cytosolic NADPHF facilitates insulin secretion (34). Recently, we explained how, when revealing the existence of the essential NOX4-mediated cytosolic redox signaling, which together with ATP elevations fundamentally determines insulin exocytosis (48). A portion of NADPHF required for NOX4 reaction comes from the redox shuttles described here. Other substantial NADPHF supply for NOX4 is produced by two of the PPP enzymes on GSIS.
Since β cells lack a significant lactate dehydrogenase activity and functional pyruvate dehydrogenase kinases, nearly 100% of pyruvate originating from glycolysis is utilized by the Krebs cycle (2, 10, 52, 55) to sustain OXPHOS (Figs. 1A, B and 10B, C). Pyruvate is about equally metabolized by PDH and pyruvate carboxylase (52). The PDH enables an increase in the Krebs cycle rate, followed by the increased respiration (60) and OXPHOS, thus increasing ATP, which subsequently contributes to KATP closing and GSIS.
If only PDH was functional and without operating redox shuttles, the resulting incremental increase in NADH and concomitant elevation of respiration would cause a higher extent of proton pumping and establish a high protonmotive force Δp (including higher ΔΨm). The concomitantly increased ATP synthesis would transport more protons back through the ATP-synthase. The resulting Δp would thus be established as somewhat smaller than without this proton backflow. As a result, also mitochondrial superoxide formation would decrease (Hypothesis II). This component is a basic one, fundamentally contributing to the mitochondrial reductive state.
However, with the additional pyruvate carboxylase reaction and concomitant malate efflux from the matrix, enabled by 2OGC, the generated OAA can either increase the turnover of the Krebs cycle or be converted by the reverse MDH reaction and thus initiate the pyruvate/malate shuttle (Figs. 1A and 10B, C). MDH then produces less NADH than would be produced without the redox shuttle. Its operation was proven here by the effects of ME1 and pyruvate carboxylase silencing and inhibitors of the respective carriers.
Crucially, this lower matrix NADH availability is also given by the lower IDH3-mediated NADH formation due to the effective citrate and isocitrate efflux within the pyruvate/citrate and pyruvate/isocitrate shuttles, respectively. Their operation provides much lower matrix NADH/NAD+ ratios than in their absence. Matrix NADH in μM but NAD+ of >500 μM seems to be typical (12). Indeed, functionality of the pyruvate/isocitrate shuttle was independently supported by 13C-incorporation experiments (Fig. 6C), unequivocally determining the counter-Krebs cycle direction of isocitrate flux (59) and its increase at high glucose.
Under the hypothetical maximum substrate elevation without redox shuttles, one would have anticipated elevated superoxide formation due to the expected higher matrix NADH/NAD+ ratios. Such a high matrix substrate pressure S (NADHF/NAD+F) would cause higher superoxide formation at site IF in the vicinity of the flavin binding site of Complex I (8, 50). The only situations that followed the most simple expectation of an increased superoxide formation with increased substrates occurred (i) in media completely depleted of glucose and pyruvate-free on glucose addition (Fig. 3A) or (ii) in cells with an inhibited citrate or malate export; or with two redox shuttles blocked by ME1 silencing, partly with pyruvate/isocitrate shuttle blocked by IDH2 silencing, or completely with simultaneous silencing of pyruvate carboxylase and inhibited citrate export; that is, again with inhibited redox shuttles. Otherwise, with initial 3 and 11 mM glucose, the sudden glucose intake slows down superoxide formation released to the mitochondrial matrix (Fig. 3A–E).
The three active redox shuttles allow elevations of cytosolic NADPHF on GSIS (34, 35) (Figs. 5B–D and 8A) at the expense of the diminished mitochondrial matrix NADHF and a concomitant NAD+F increase. Its existence was also supported by a 3.2-fold increase in β-OHB (Fig. 6C and Supplementary Fig. S2Fa). Consequently, the resulting matrix substrate pressure (NADHF/NAD+F) is also diminished (Fig. 8H, I). When these shuttles are shut down by combinations of the metabolite carrier inhibitors with silencing of ME1, IDH2, or pyruvate carboxylase, the substrate pressure NADHF/NAD+F does not decrease but instead increases (Fig. 8H, I). Thus, an elevated matrix superoxide release stems from the inhibited redox shuttles (Fig. 3A–D). Concomitantly, elevation of the cytosolic NADPHF at high glucose vanishes with the blocked carriers and/or shuttles (Figs. 5A–D and 8A and Supplementary Fig. S7). The maintenance of NAD+ may also maintain the ongoing Sirtuin-3-mediated de-acetylation of proteins and factors that are crucial for OXPHOS (41, 63). Moreover, the cataplerotic flux, ensured by the redox shuttles, acts upstream of NNT; hence, the phenomenon is preserved independently of the NNT deficiency.
We have excluded the predominant participation of other mechanisms, hypothetically decreasing superoxide formation on GSIS (Supplementary Part II; Supplementary Fig. S2). A third one could theoretically be a switch from fatty acid to glucose metabolism (24), since fatty acid β-oxidation produces additional ROS by electron transfer flavoprotein:quinone oxidoreductase. However, since the decreasing ROS were also observed with etomoxir, an inhibitor of β-oxidation, this mechanism should not significantly contribute. The fourth mechanism would be based on the well-known elevation of cytosolic Ca2+ on GSIS that could be relayed by the increased Ca2+ uniport and compensating Ca2+/2Na+antiport ensuring the Ca2+ efflux (Supplementary Fig. S2Bc). Since we observed the decrease in Jm rates with blocked Ca2+ uniporter, either the three redox shuttles are still operating or variations in mitochondrial Ca2+ fluxes on GSIS probably do also contribute to these declines. We may still anticipate the participation of changed Ca2+ fluxes on GSIS.
The fifth possible mechanism might originate from the functional malate/aspartate shuttle decreasing respiration at low glucose versus its slow-down at high glucose. However, without external glutamine or on silencing of the aspartate/glutamate carriers, the decrease in the mitochondrial matrix superoxide release and accumulated superoxide/H2O2 was maintained after glucose intake. Moreover, the malate/aspartate shuttle (Fig. 1B) cannot proceed simultaneously with the three redox shuttles of Figure 1A. Nevertheless, its elimination under the low-glucose conditions (insulin nonstimulating) led to higher oxidative conditions, indicating a higher superoxide formation at retarded metabolism.
The finding of decreased mitochondrial superoxide formation on GSIS is itself a remarkable fact. This is a great phylogenetic discovery that mitochondria, representing the ATP branch of the glucose sensor in pancreatic β cells, do not acutely contribute to oxidative stress while the sensor is functioning. Perhaps this allows β cells to afford a much lower cytosolic antioxidant buffer capacity than the other cell types (30). However, since matrix NADPHF decreases on GSIS, which might decrease matrix GSH, these repetitive transient decreases might contribute to oxidative stress. One can consider β cells as perfect redox machines, since they are rich in disulfide reductase-based antioxidant defenses (27). This, together with a lowered antioxidant buffer capacity allows fine redox signaling (50), on insulin secretion stimulated with glucose and branched-chain ketoacids (48). We should pay attention to these intermittent declines in the matrix antioxidant capacity, similar to the accumulated oxidative stress amplified by lipotoxicity, and glucotoxicity, which are major factors in the development of type 2 diabetes [reviewed in Aon et al. (1), Ivarsson et al. (27), Ježek et al. (28), Lombard and Zwaans (41), and Plecitá-Hlavatá et al. (49)].
In the vicinity of the Complex I flavin IF site, superoxide formation increases at higher NADH/NAD+; otherwise, superoxide formation decreases (40, 65). Interestingly, while probing superoxide formation sites with suppressors of electron leak at the specific Complex I or Complex III ubiquinone-binding sites (9), the S3QEL suppressor diminished superoxide release into the mitochondrial matrix more intensively with increased glucose (down to ∼40% at 25 mM glucose). Thus with maximum glucose, substantial superoxide formation (up to 60% of the matrix-released superoxide) takes place within the outer site IIIQo. At this site, superoxide is also formed in the presence of antimycin A. This reflects the existence of fast electron flow at elevated respiration, which is, however, not matched by the sufficient capacity of cytochrome c shuttling. As a result, the electron flow is retarded at the IIIQo site and allows superoxide formation. Since there is an increasing fraction of superoxide ascribed to the IIIQo site with the increasing glucose, this means that the remaining fraction, where the Complex I IF site contributes, is higher at lower glucose and therefore at higher NADHF/NAD+F. In contrast, the Complex I IF site contribution is lower at high glucose. Consequently, only the fraction of matrix superoxide release formed at the IF site decreases with the acute increase in glucose in β cells. The fraction given by the IIIQo site then logically increases.
Materials and Methods
Materials
Reagents, including CitC inhibitors BTC and 4-Chloro-3-[[(3-nitrophenyl) amino] sulfonyl]-benzoic acid (CTH), were from Sigma Aldrich (St. Louis, MO), unless stated otherwise. S1QEL and S3QEL were from Life Chemicals (shipped from Spoluka Chemical Company, Kiev, Ukraine).
Cell and PI cultures
Rat insulinoma INS-1E cells (kindly provided by Prof. Maechler, University of Geneva or purchased from AddexBio, San Diego, CA; cat. No. C0018009) were cultured in RPMI 1640 medium supplemented with 11 mM glucose, 5% (v/v) fetal calf serum, 10 mM HEPES, 1 mM pyruvate, 50 μM mercaptoethanol, 50 IU/mL penicillin, and 50 μg/mL streptomycin (55). The 1-, 2-, or 15-h incubations were performed in RPMI 1640 with 3 mM glucose to lower glucose and reduced beneficial autocrine effects (51). CitC, ME1, pyruvate carboxylase, SLC25A12/AGC1/aralar, SLC25A13/AGC2, NNT, and IDH2 silencing were performed by transfections, facilitated by RNAiMax (Thermo Fisher Scientific, Waltham, MA), with properly predesigned siRNAs (Sigma), that is, for CitC (SASI_Rn01_00120045 and SASI_Rn01_00120046); ME1 (NM_012600, SASI_Rn02_00259753 and NM_012600, SASI_Rn02_00259754); pyruvate carboxylase (NM_012744, SASI_Rn01_00101243); SLC25A12/AGC1/aralar (XM_342445, SASI_Rn02_00394279 and SASI_Rn02_00394280); and SLC25A13/AGC2 (XM_001054092, SASI_Rn02_00274696 and SASI_Rn02_00274697), likewise SASI_Rn01_00066518 and SASI_Rn01_00066519 for NNT and SASI_Rn01_00093144 and SASI_Rn01_00093145 for IDH2. PIs were isolated from C57BL/6J mice (or when indicated from C57BL/6N mice) and used immediately for measurements. Nevertheless, they could be maintained for up to 1 week in the transient culture as previously described (17, 19, 60).
Confocal microscopy assay of surplus superoxide matrix release
A Leica TCS SP2 AOBS, or alternatively Leica TCS SP8, was employed for the MitoSOX Red (Thermo Fisher) monitoring of in situ superoxide surplus release to the mitochondrial matrix by using 514 nm excitation and 610–679 nm emission. Rates, that is, integral fluorescence intensity increases (Jm) with time, were derived in the region of interest, which was the mitochondrial network. Note that this method is feasible for the semi-quantification of mitochondrial superoxide release rates even at low or collapsed ΔΨm, since MitoSOX Red permanently intercalates into mitochondrial DNA (mtDNA) and cannot leak out (see also the Supplementary Data) (18).
However, even when surveying the rates, this method is frequently criticized and it is believed that it is unable to account for matrix superoxide changes (36, 67, 68). Indeed, if MitoSOX Red molecules were freely membrane permeable and not bound to mtDNA, fluorescence signal changes would potentially originate from the changes of either inner mitochondrial membrane (IMM) potential ΔΨm or plasma membrane potential ΔΨp. However, as shown in the Supplementary Data, three aspects support the independence of the two potentials ΔΨm and ΔΨp under certain conditions that are suitable for feasible MitoSOX Red-based confocal microscopy assays. This is valid even for pancreatic β cells, where both potentials definitely change on the addition of glucose to cells preincubated in a medium containing lower glucose concentration. On glucose stimulation of β cells, the IMM potential ΔΨm slightly increases, whereas the blockage of KATP stops the hyperpolarizing current at the plasma membrane and the subsequent burst of action potential depolarizes ΔΨp to at least zero (2, 52, 55).
After their addition to cells, free membrane-permeant hydrophobic MitoSOX Red cationic molecules would redistribute between medium and cell cytosol according to the plasma membrane potential ΔΨp. In addition, MitoSOX Red cations would redistribute between the mitochondrial matrix and cytosol according to ΔΨm. Since ΔΨm usually amounts to ∼180 mV and ΔΨp > 60 mV, one might expect four orders of magnitude MitoSOX Red accumulation in the mitochondrial matrix space relative to the medium. After the addition of glucose, such an accumulation and hence fluorescence signal may decrease at least 10-fold due to plasma membrane depolarization, if the other aspects are not considered.
However, due to the first aspect being considered, that is, that in β cells ΔΨm increases after the glucose addition (60), it would be reasonable to expect a ΔΨm increase of no more than 10 mV. Hence, MitoSOX Red cation accumulation will be additionally ∼1.5 times higher in the mitochondrial matrix after glucose addition. This must lead to a much smaller decrease in the fluorescence signal, even for the freely penetrating cation.
The second aspect stems from the absence of super-resolution for this confocal microscopy assay. Conventional confocal microscopy does not afford a better resolution than 200 nm, neither 20 nm, which would be required to resolve cristae, because mitochondrial ROI (sections of mitochondrial network tubules) in conventional confocal images represent a mixture of signals originating from the intracristal space (freely accessible for small compounds from the cytosol) and the mitochondrial matrix space (due to the “zebra” of cristae resulting from mitochondrial network tubule optical sections) (50, 51). For cells with rich cristae, such as pancreatic β cells, the mitochondrial matrix signal readout would only account for around half of the fluorescence signal, whereas the remaining half would comprise, in fact, the cytosolic concentration of the MitoSOX Red cation. This contributes to the fluorescence background. Consequently, when the rates are not taken into the account and only the fluorescence intensity is considered, quantification is obscured.
The third aspect lies in the ability of MitoSOX Red to intercalate into mtDNA (18). The intercalated pool of MitoSOX Red typically dominates the confocal microscopy signal (18). Consequently, on certain values of intercalation fraction (see the calculation in the Supplementary Data, Supplementary Table S1), the integral fluorescence intensity within the mitochondrial ROI is almost insensitive to ΔΨm (28, 29). Despite these theoretical considerations, the experimental sensitivity of MitoSOX Red fluorescence toward ΔΨm changes may be even lower than predicted.
The mtDNA-intercalated MitoSOX Red pool is also completely insulated from accessing the cytosol or mitochondrial membranes, since it does not respond to very high doses of membrane-permeant hydrophobic pro-oxidants such as tert-butyl hydroperoxide (28). The disadvantage of this approach lies in a possible toxicity that could prevent correct long-term cell responses during their further culturing. Nevertheless, 20 min time-lapsed confocal microscopy recordings were found to not affect cells. However, repeated sampling with new coverslips and cell samples is recommended for long time intervals. In this way, snapshots of superoxide release rates are obtained, which provide insights into important physiological phenomena such as the redox initiation of the hypoxia-inducible factor signaling, that is, the peak in Jm rates occurring after 5 h of hypoxic incubation (Plecitá et al., unpublished observations).
Confocal microscopy assay of H2O2 release into the mitochondrial matrix within intact cells
The HyPer family of fluorescence probes has been developed for the selective detection of H2O2 (3, 4, 38, 54). We have employed vectors encoding mito-HyPer and mito-SypHer (kindly provided by Dr. Enyedi, Semmelweis University, Hungary). INS-1E cells were transfected with either one of these vectors, with the help of Lipofectamine 2000 (Thermo Fisher Scientific) for 24 h before measurements. A Leica TCS SP8 confocal microscope was employed for the intermittent recording of integral fluorescence intensity (F) in the mitochondrial network ROI with excitation at 405 and 488 nm, respectively.
To completely eliminate any potential pH dependency of mito-HyPer, the entire signal (in fact the fluorescence intensity per unit or chosen constant area of mitochondrial ROI) of the H2O2-insensitive but pH-sensitive probe mito-SypHer was subtracted from the mito-HyPer fluorescence signal for both excitations at 488 and 405 nm:
The resulting differential fluorescence data (ΔF) were used to calculate the ratios R(H2O2) of corrected mito-HyPer emission: R(H2O2) = ΔF H485/ΔF H405. The relative JmH2O2 rates were taken as the slopes of the time course for R(H2O2):
The typical resulting traces for R(H2O2) versus time are shown in Figure 3I–K. R(H2O2) increased significantly on the addition of a 200 μM H2O2 aliquot, confirming the correct mito-HyPer response (15, 54). A JmH2O2 elevation was also detected with the addition of rotenone (Fig. 3K, L) or antimycin A (see Supplementary Data) and decreased after the subsequent addition of the mitochondrial matrix antioxidants SkQ1 or S1QEL. The slopes of the derived dependencies JmH2O2 were taken as upper limits of the observed rates and were converted to approximate values in nmols·s−1 by the known extent of changes after the addition of H2O2 aliquots. Such calibration is approximate due to the fact that not all added external H2O2 penetrates into the mitochondrial matrix and influences the probes localized there.
MitoB LC-MS assay of mitochondrial ROS
The mitochondrial matrix-targeted H2O2-specific probe MitoB was used to quantify accumulated ROS in the mitochondrial matrix over time, using an adopted method (14). The boron-containing MitoB is oxidized in the mitochondrial matrix to MitoP, and both species are quantified by LC-MS. MitoP/MitoB ratios are then taken as proportional to H2O2 (ROS) accumulated within the timeframe of the experiment (2 h in our case).
The INS-1E cells were grown under the standard conditions described earlier and preincubated in medium containing 3 or 11 mM glucose, respectively, for 2 h at 37°C. Next, the medium was replaced with a fresh one but supplemented with 5 μM MitoB probe (Sigma Aldrich). When indicated, glucose was increased to 25 mM. Cells were then incubated for 2 h at 37°C. In separate runs, 20 μM mito-paraquat (Abcam) was included, which generates H2O2 within the mitochondrial matrix. Thus, we obtained a positive control.
After the treatment, 500 μL aliquots were removed from the reaction, snap-frozen on dry ice, and stored at −80°C before further processing. For MitoB and MitoP quantification, samples were thawed and 200 μL aliquots were transferred to new tubes. All samples were spiked with 500 nM internal standards of d15-MitoB and d15-MitoP (Cayman Chemicals) and vortexed for 30 s. Fifty microliters of 100% acetonitrile/0.1% formic acid (vol/vol) was added; the samples were vortexed again for 30 s, and they were centrifuged for 10 min at 16,000 g at room temperature. Subsequently, 100 μL sample aliquots were used for LC-MS analysis.
Mass spectra were obtained by using a Shimadzu Prominence system consisting of a DGU-20A3 mobile phase degasser, two LC-20AD solvent delivery units, an SIL-20AC cooling autosampler, a CTO-10AS column oven, SPD-M20A diode array, and LCMS-2020 mass detectors with a single quadrupole equipped with an electrospray ion source (Shimadzu, Kyoto, Japan). Binary gradient elution was used as follows: mobile phase A = water, 0.1% formic acid; mobile phase B = 100% acetonitrile; linear gradient: 0 min 30% B, 6 min 60% B; and 7 min 30% B, 10 min stop. The flow rate was 0.4 mL·min−1 at 25°C, and the injection volume was 10 μL.
The MS parameters were as follows: Positive mode was used, whereas the ESI interface voltage was 4.5 kV; detector voltage was 1.15 kV, the nebulizer gas flow was 1.5 mL·min−1, drying gas flow was 15 mL·min−1, heat block temperature was 200°C, DL temperature was 250°C, and the SIM mode was 397 for Mito B [M+H]+, 369 for Mito P [M+H]+, 412 for Mito B deut. [M+H]+, and 384 for Mito P deut. [M+H]+. The software LabSolutions version 5.75 SP2 was used for data quantification. The ratio of MitoP/MitoB was estimated from the respective areas under the curve obtained by the MS analysis.
Enzymatic NADPH assay
Total cell NADPH was quantified by using a kit (BioVision, Milpitas, CA).
Confocal microscopy assay of cytosolic and matrix NADPH
The iNAP family of NADPH-selective fluorescence probes discriminating between NADPH and NADH was developed by Dr. Yi Yang (East China University of Science and Technology, Shanghai, China) (64), who kindly provided us with iNAP1 for cytosolic and iNAP3 for matrix monitoring and the nonresponding control probe iNAPc. A Leica TCS SP8 confocal microscope was used for the intermittent recording of integral fluorescence (F) within ROI of each individual cell (up to 15 cells in total) with excitation at 405 and 488 nm. The F405/F488 ratios derived from each individual cell were then averaged. Since these ratios are directly proportional to cytosolic or mitochondrial matrix NADPH concentration [NADPH]c or [NADPH]m, respectively, the average elevation after the addition of 25 mM glucose Δ[NADPH]c or Δ[NADPH]m, respectively, was set as 100% and elevations in Δ[NADPH]c or Δ[NADPH]m relative with the tested agents were expressed normalized to this average (100%) change in their absence.
Double-channel FLIM assay for separation of NADPH and NADH and estimation of NAD+
A Coherent Chameleon Ultra I mode-locked Ti:sapphire laser with 140 fs pulse width was used in conjunction with a Leica TSC SP8 confocal microscope and an attachment for 2chFLIM (Becker & Hickl, Berlin, Germany). The laser was tunable from 690 to 1040 nm with 2.9 W of average power at the peak of the tuning range, which provides ∼500 mW at 980 nm. To assay NAD(P)H by autofluorescence in situ, two-photon confocal excitation was set up as follows: Both NAD(P)H and FAD were excited at 700 nm whereas NAD(P)H was detected at 467–499 nm emission and time-resolved fluorescence decay yields were obtained by iterative re-convolution using SPCImage (Becker & Hickl) as two lifetimes for free and bound molecules τF = 0.4–0.5 ns and τB ∼2.6 ns, respectively (6), and their weight coefficients αF and αB (normalized amplitudes for which αF = 1 − αB), respectively. Average lifetimes integrated over ROI encompassed either the mitochondrial network or extra-mitochondrial compartments or nuclei in each separate coverslip. Only a few cells were taken for calculation. The FAD was detected at 500–550 nm emission, yielding typically shorter lifetimes for bound molecules τFADB and long lifetimes for free τFADF (6, 26). Fluorescence lifetime τFADF has previously been found to decrease in the presence of NAD+ because of fluorescence quenching (26).
The general NAD(P)H fluorescence decay I(t) can be expressed as:
where the weight coefficients αF, αB reflect a mixture of NADH and NADPH, t is time in ns, and Z and I0 are constants. We assumed that roughly the same lifetimes exist for NADH and NADPH, and that lifetimes are longer for bound compounds, despite the usual NADPH lifetime increases to higher values (6). This assumption represents the first simplification made in our evaluations, which yields reasonable estimates under the specific conditions when NADPH is nearly constant. Then, eq. {1} can be rewritten as:
The fraction coefficients νF and νB refer to free and bound NADH species, respectively, whereas πF and πB refer to free and bound NADPH molecules, respectively. Assuming that the ratio ρ = πB/νB can be set proportionally to the concentration ratio of respective bound species (averaged from multiple binding sites on various proteins), ρ can be expressed according to the protocol devised by Duchen's group (6) as (time in ns):
Due to the normalization of these coefficients and since by definition αB = νB + πB, it is also valid to imply:
On the basis of the Scatchard equation, assumed for multiple protein binding sites, one can estimate the average free NADH concentration as:
where Ka is the average association constant, and P0 is the protein concentration. By substituting eqs. {3} and {4} into eq. {5}, we obtain the following expression:
The second major simplification in our estimates takes into account the prevailing Complex I contribution so that the parameters Ka and P0 correspond to the values obtained in the kinetic model of Markevich and Hoek for Complex I, 0.02 μM−1 and 4541 μM, respectively (45). For this specific case, it is valid to presume that:
In addition, the two-photon excitation fluorescence intensity F(t) can be expressed (26) as:
where Q is the quantum yield, δ2P is the two-photon excitation fluorophore cros-section, ζ is the instrumental fluorescence collection efficiency, and L2(r,t) is the average spatiotemporal profile of the excitation laser pulses (6). Consequently, [NAD(P)H] can be estimated from eq. {8} by substituting δ2P = 0.05 and Q = 0.02 (26) to yield:
Assuming a very short time interval (shorter than the shortest lifetime) and supposing that the NADH signal can be separated from that of NADPH, we derive free NADH concentration as:
Consequently, one can estimate the change in free NADH concentration, [NADH]F, under two distinct conditions (1) and (2) to be:
Moreover, the free NAD+ concentration, [NAD+]F, can be derived from the known intensity of FAD quenching by NAD+. The fluorescence lifetime τFADF for free FAD, which is now the long-lived component (26), has been previously found to decrease in the presence of NAD+ due to fluorescence quenching. Assuming Stern-Volmer (i.e., dynamic) quenching, it is valid to postulate that:
where kq is the quenching constant, τFAD0F is the lifetime in the absence of a quencher, and τFADF is the long-lived lifetime of FAD emission decay. For FAD, we have assumed that τFAD0F converges to 2.9 ns. Quenching also affects bound FAD, for which the following relationship can be proposed:
Bearing in mind that the two simplifications mentioned earlier were made, one can evaluate the substrate pressure S for free compounds as:
For relating substrate pressure to two distinct conditions (1) and (2), the constants involved do not need to be known and the following expression can be derived:
To estimate the substrate pressure for bound compounds, we use eq. {3} and the Scatchard equation for NAD+ and obtain:
where κa is the association constant for NAD+, 0.001 μM−1 (45). Assuming kq = ∼0.01, the bound substrate pressure can be approximated as:
We appreciated a certain degree of precision and reproducibility of 2chFLIM. The previously established method reported the NADPHB/NADHB ratio for bound species (6). Ultimately, 2chFLIM finally allows a complete set of parameters to be determined. Specifically, we employed the huge “background” of free FAD emission decay given by the longest-lifetime component to estimate nonfluorescent NAD+ due to the ability of NAD+ to quench FAD.
Approximate calibration of 2chFLIM
We first confirmed the Stern-Volmer dynamic quenching relationship (eq. {12}) with 1 mM FAD in glycerol by additions of 50 μM NAD+ aliquots, surveying the decreasing lifetime of FAD emission decay, approximated by a single decay component τ, using our Leica TSC SP8 confocal microscopy system with a Becker & Hickl FLIM attachment (Fig. 7G, H, gray symbols). Then, we employed INS-1E cells permeabilized by using digitonin and either used the natural cytosolic FAD content or added defined FAD amounts reaching 10 or 100 μM concentrations. Again, we added NAD+ aliquots and now we employed 2chFLIM exactly as for the whole cell measurements, that is, including NADH channel as well, while surveying τ2FAD decreases (Fig. 7, empty symbols). Measurements were conducted exactly as described earlier for nonpermeabilized cells. The data approximately fit to the Stern-Volmer relationship for dynamic quenching (eq. {12}), to which also fit the τ2FAD data (lifetimes for free FAD) from Figure 8F under the assumption that NAD+ was around 800 μM. Note also that if this NAD+ concentration is overestimated and may be lower in reality, then the corresponding shift of the data would still allow fitting to a slightly different Stern-Volmer relationship (eq. {12}).
Mitochondrial membrane potential ΔΨm assay
ΔΨm was monitored in situ by using tetramethylrhodamine ethyl ester (TMRE) (Thermo Fisher Scientific) in a Fluorolog 322 spectrofluorometer (Horiba Jobin Yvon, Longjumeau, France). Excitation was at 546 nm (slit width 10 nm), and emission was at 574 nm (slit width 10 nm). Cells were incubated with 10 nM TMRE for 15 min. Alternatively, the ratiometric probe JC-1 indicated a ΔΨm decrease, which is proportional to the decrease in the ratio of JC-1 fluorescence at 593 versus 537 nm (29).
High-resolution respirometry
Cellular O2 consumption was measured by using an Oxygraph-2k (Oroboros, Innsbruck, Austria) after air calibration and background correction (49). Endogenous respiration was recorded first and when required, glucose at the given doses or various agents were added. Nonphosphorylating respiration and nonmitochondrial respiration were determined after the addition of oligomycin and antimycin A (both 1 μM), respectively. Nonmitochondrial respiration was subsequently subtracted from all measured rates. An uncoupler, carbonyl cyanide 4-(trifluoromethoxy)phenylhydrazone (FCCP), was titrated at the end of each run to assess the maximum respiratory chain capacity. The assay was conducted either in cell culture medium or in KRH buffer (135 mM NaCl, 3.6 mM KCl, 10 mM HEPES, 0.5 mM MgCl2, 1.5 mM CaCl2, 0.5 mM NaH2PO4, pH 7.4) containing 0.1% fatty-acid-free bovine serum albumin (BSA).
Islet respiratory analysis was performed on an Agilent Seahorse XF24 analyzer according to the manufacturer's manual. Fifty islets were seeded into islet capture microplates; analysis was done in KRH media containing 3 mM glucose and 1% FBS. The final concentration of glucose was 25 mM, whereas the standard testing included sequential additions of 5 μM oligomycin, 1 μM FCCP, and 5 μM antimycin plus 5 μM rotenone.
Quantification of ATP
An ATP Bioluminescence Assay kit HSII (Roche, Basel, Switzerland) was used to quantify ATP levels. Cells were lysed by boiling in EDTA buffer (100 mM Tris-Cl, 4 mM EDTA, pH 7.75) for 2 min. Bioluminescence was determined by using a Synergy HT luminescence microplate reader (Bio-TEK/Agilent, Winooski, VT).
For the monitoring of ATP in cytosolic or mitochondrial matrix ROI, cells were transfected with cytosolic or mitochondrial ATeam plasmids (a kind gift from Prof. Hiromi Imamura, Kyoto University, Japan) (66), using Lipofectamine 2000. ATeam fluorescence was monitored with a Leica SP5 confocal microscope in lambda scan mode (XYλ). Excitation was set to 405 nm, whereas emission was collected between 453 and 608 nm (5 nm bandwidth) with a step of 3.88 nm. Integral fluorescence intensity corresponding to the excitation maximum at ∼478 nm (or its ratio to emission maximum at ∼522 nm; that is, YFP/CFP emission ratio) is inversely related to the local ATP cytosolic or matrix concentration. The former has also excluded the ATP signal from insulin granules, since emission from their loci is negligible.
Quantification of insulin release
Cells were seeded at 0.3 × 106 cells/well in poly-l-lysine-coated 12-well plates 2 days before the experiment. Cells were washed with the KRHBSA buffer without glucose and then incubated in KRHBSA with the desired glucose concentrations. After chosen the time period, insulin levels in the media were determined by using the Rat Insulin High Sensitivity ELISA kit (BioVendor, Brno, Czech Republic) (48).
Quantification of SOD activity
An SOD assay kit (Cayman, Ann Arbor, MI) was used to estimate SOD activity. KCN additions were performed to distinguish MnSOD activity from total SOD activity.
Quantification of cellular metabolites and 13C-incorporation
Quantification of pyruvate, OAA, citrate, fumarate, and malate from INS-1E cells was performed by using gas chromatography-mass spectrometry (GC-MS). Internal standard dl-malic acid-2,3,3-d3 (10 μL of 300 μg/mL) was added. The cell samples were extracted with water/methanol/chloroform (1:1:2, w/w/w) and centrifuged (3000 g, 5°C, 10 min). The upper polar phase was transferred to glass vials and lyophilized. Analytes were derivatized with pyridine/N,O-bis(trimethylsilyl) acetamide/chlorotrimethylsilane (3:2:1, v/v/v) at 60°C for 70 min.
These samples (7 μL) were directly injected in split mode into the gas chromatograph coupled to a mass spectrometer (GC 6890N, MSD 5973N; Agilent Technologies, Santa Clara, CA). The 95% methyl-, 5% phenyl-polysiloxane column (15 m × 250 μm × 0.25 μm) was used for the chromatographic separation. The initial temperature of 100°C was held for 1 min, then increased by 10°C per minute to 180°C, and finally held for 1 min. Finally, the postcolumn temperature was increased to 300°C, and this temperature was held for 2 min. The total run time of analysis was 12 min with a flow rate of helium at 1 mL/min. Ions were generated by using the electron-ionization mode at 70 eV with the ion source maintained at 230°C. Ions were measured by using SIM acquisition mode. Specific ions have been selected in verified mass spectra of metabolites: pyruvate [131], OAA [217], citrate [273], fumarate [245], 2OG [347], malate [335], and dl-malic acid-2,3,3-d3 [338]. Retention times of selected metabolites were confirmed with commercial standards, and detectable specific mass ions were chosen according to their mass spectra.
Quantification of 13C-incorporation
The reductive carboxylation by IDH2, a counter-Krebs cycle direction reaction consuming 2OG, was semiquantified as the percentage of surplus of accumulated 13C-citrate and 13C-malate from 1-13C-glutamine after 6 h (59). Internal standard malate-d3 was added and samples were treated and measured as described earlier. The ratios between data obtained in 20 versus 3 mM glucose were calculated after subtraction of the natural 13C content from the rough 13C amounts related as the percentage of 12C+13C amount for each sample; and then the respective ratios were subsequently calculated. Thus, for malate, 2OG, and citrate (C4, C5, and C6 compounds) the derivatized fragmented ions 335, 348, and 273 (alternatively 465) contain altogether 12, 13, and 11 (alternatively 17) carbons, respectively. Hence, their natural 13C content is 13.2%, 14.3%, and 12.1% (alternatively 18.7%), respectively. Thus, for incorporation into malate, 13C-labeled malate ions 336 were traced versus ions 335; 349 versus ions 348 were traced for 2OG; as well as citrate originating ions 274 (alternatively 466) were compared with 12C citrate ions 273 [465].
Statistical analysis
Analysis of variance was carried out with subsequent pairwise multiple comparisons (Tukey's or Holm-Sidak's test) by using SigmaStat 3.1 (Systat Software, San Jose, CA). Error bars in figures represent standard deviations.
Supplementary Material
Acknowledgments
The authors gratefully acknowledge Prof. Dr. Libor Vítek and Dr. Aleš Dvořák, 1st Faculty of Medicine, Charles University, Prague, for enabling them to use GC-MS; Prof. Yi Yang, Synthetic Biology and Biotechnology Laboratory, State Key Laboratory of Bioreactor Engineering, Shanghai Collaborative Innovation Center for Biomanufacturing Technology, East China University of Science and Technology, Shanghai, China, for providing plasmids for iNAP fluorescent probes; Prof. Hiromi Imamura, Department of Functional Biology, Graduate School of Biostudies, Kyoto University, Kyoto, Japan, for providing ATeam plasmids; Dr. Enyedi, Semmelweis University, Hungary, for providing mito-HyPer and mito-SypHer plasmids; and finally, the excellent technical assistance of Lenka Josková and Jana Vaicová.
Abbreviations Used
- β-OHB
β-hydroxybutyrate
- 2chFLIM
two-channel fluorescence lifetime imaging microscopy
- 2OG
2-oxoglutarate
- 2OGC
2-oxoglutarate carrier
- 2OGDH
2-oxoglutarate dehydrogenase
- 6AN
6-aminonicotinamide
- AA
acetoacetate
- ACAA1, ACAA2
acetyl-CoA acyltransferase 1, 2
- ACAT1, ACAT2
acetyl-CoA acetyltransferase 1, 2
- AcCoA
acetyl-CoA
- ACL
ATP-citrate lyase
- ANOVA
analysis of variance
- AOA
aminooxyacetic acid
- ASCT
alanine serine cysteine transporter
- BDH
β-hydroxybutyrate dehydrogenase
- BSA
bovine serum albumin
- BTC
1,2,3-benzene-tricarboxylate
- CaL
voltage-gated L-type Ca2+ channels
- CitC
citrate carrier
- CS
citrate synthase
- CTH
4-chloro-3-[[(3-nitrophenyl) amino] sulfonyl]-benzoic acid
- CuZnSOD
copper-zinc superoxide dismutase
- FA
fatty acid
- FASN
fatty acid synthase
- FCCP
4-(trifluoromethoxy)phenylhydrazone
- FH
fumarate hydratase
- GC-MS
gas chromatography-mass spectroscopy
- GDH
glutamate dehydrogenase
- Gln C
glutamine carrier
- GLUT
glucose transporter
- GSH
reduced glutathione
- GSIS
glucose-stimulated insulin secretion
- HMG-CoA
hydroxymethyl-glutaryl-CoA
- HMG-CoA L
hydroxymethyl-glutaryl-CoA lyase
- IDH1
isocitrate dehydrogenase 1
- IDH2
isocitrate dehydrogenase 2
- IDH3
isocitrate dehydrogenase 3
- IMM
inner mitochondrial membrane
- KATP
ATP-sensitive potassium
- KRH
Krebs-Ringer HEPES buffer
- MAC
malate aspartate carrier
- MDH
malate dehydrogenase
- ME1
cytosolic malic enzyme
- ME3
mitochondrial malic enzyme, NADP+ dependent
- MnSOD
manganese superoxide dismutase
- mtDNA
mitochondrial DNA
- NNT
nicotinamide nucleotide transhydrogenase;
- NOX4
NADPH oxidase 4
- LC-MS
liquid chromatography–mass spectrometry
- OAA
oxaloacetate
- OXPHOS
oxidative phosphorylation
- PC
pyruvate carboxylase
- PDH
pyruvate dehydrogenase
- PI
pancreatic islet
- PPP
pentose-phosphate pathway
- PyrC
pyruvate carrier
- ROS
reactive oxygen species
- ROI
regions of interests
- RR
ruthenium red
- S1QEL
suppressor of complex 1 site Q electron leak
- S3QEL
suppressor of complex 3 site Q electron leak
- S-CoA
succinyl-CoA
- SCoA:3oxoAcCoA T
succinyl-CoA:3-ketoacid-CoA transferase
- SD
standard deviation
- SDH
succinate dehydrogenase
- siRNA
small interfering RNA
- SN2
system N transporter 2
- SOD
superoxide dismutase
- SUCC
succinate
- TMRE
tetramethylrhodamine ethyl ester
Authors' Contributions
L.P.-H., H.E., A.D., J.T., J.J., and T.Š. performed MitoSOX Red confocal assays; H.E. performed mito-HyPer, iNAP1, iNAP3, and 2chFLIM assays; B.H., H.E., L.P.-H., V.K., and L.P. performed the MitoP/MitoB experiments, whereas B.H., V.K., and L.P. undertook other LC-MS assays; A.D., J.T., J.J., and T.Š. performed respiration experiments; A.D. worked with ATeam; B.H., H.E., and J.T. carried out cell silencing; L.P.-H., H.E., and K.S. performed auxiliary experiments; K.S. designed Figure 1; and K.S., K.G., and J.Š. performed metabolomics and 13C-incorporation studies. L.P.-H., B.H., H.E., K.S., and P.J. designed experiments; P.J. developed the theory of 2chFLIM assessment of NAD+ and other parameters, calculated data, drew figures, and wrote the article.
Author Disclosure Statement
No competing financial interests exist.
Funding Information
This project was supported by grants from the Grant Agency of the Czech No. 16-06700S to L.P.-H., and 17-01813S plus 20-00408S to P.J. and by the institutional support project RVO67985823.
Supplementary Material
References
- 1. Aon MA, Stanley BA, Sivakumaran V, Kembro JM, O'Rourke B, Paolocci N, and Cortassa S. Glutathione/thioredoxin systems modulate mitochondrial H2O2 emission: an experimental-computational study. J Gen Physiol 139: 479–491, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Ashcroft Frances M and Rorsman P.. Diabetes mellitus and the β cell: the last ten years. Cell 148: 1160–1171, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Belousov VV, Fradkov AF, Lukyanov KA, Staroverov DB, Shakhbazov KS, Terskikh AV, and Lukyanov S. Genetically encoded fluorescent indicator for intracellular hydrogen peroxide. Nat Methods 3: 281–286, 2006 [DOI] [PubMed] [Google Scholar]
- 4. Bilan DS and Belousov VV. HyPer family probes: state of the art. Antioxid Redox Signal 24: 731–751, 2016 [DOI] [PubMed] [Google Scholar]
- 5. Bindokas VP, Kuznetsov A, Sreenan S, Polonsky KS, Roe MW, and Philipson LH. Visualizing superoxide production in normal and diabetic rat islets of langerhans. J Biol Chem 278: 9796–9801, 2003 [DOI] [PubMed] [Google Scholar]
- 6. Blacker TS, Mann ZF, Gale JE, Ziegler M, Bain AJ, Szabadkai G, and Duchen MR. Separating NADH and NADPH fluorescence in live cells and tissues using FLIM. Nat Commun 5: 3936, 2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Bleier L and Dröse S. Superoxide generation by complex III: from mechanistic rationales to functional consequences. Biochim Biophys Acta Bioenerg 1827: 1320–1331, 2013 [DOI] [PubMed] [Google Scholar]
- 8. Brand MD. Mitochondrial generation of superoxide and hydrogen peroxide as the source of mitochondrial redox signaling. Free Radic Biol Med 100: 14–31, 2016 [DOI] [PubMed] [Google Scholar]
- 9. Brand MD, Goncalves RLS, Orr AL, Vargas L, Gerencser AA, Jensen MB, Wang YT, Melov S, Turk CN, Matzen JT, Dardov VJ, Petrassi HM, Meeusen SL, Perevoshchikova IV, Jasper H, Brookes PS, and Ainscow EK. Suppressors of superoxide-H2O2 production at site I Q of mitochondrial complex I protect against stem cell hyperplasia and ischemia-reperfusion injury. Cell Metab 24: 582–592, 2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Brun T and Maechler P. Beta-cell mitochondrial carriers and the diabetogenic stress response. Biochim Biophys Acta 1863: 2540–2549, 2016 [DOI] [PubMed] [Google Scholar]
- 11. Cardoso AR, Chausse B, da Cunha FM, Luévano-Martínez LA, Marazzi TBM, Pessoa PS, Queliconi BB, and Kowaltowski AJ. Mitochondrial compartmentalization of redox processes. Free Radic Biol Med 52: 2201–2208, 2012 [DOI] [PubMed] [Google Scholar]
- 12. Chen WW, Freinkman E, Wang T, Birsoy K, and Sabatini DM. Absolute quantification of matrix metabolites reveals the dynamics of mitochondrial metabolism. Cell 166: 1324–1337.e11, 2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Chouchani ET, Pell VR, Gaude E, Aksentijević D, Sundier SY, Robb EL, Logan A, Nadtochiy SM, Ord ENJ, Smith AC, Eyassu F, Shirley R, Hu CH, Dare AJ, James AM, Rogatti S, Hartley RC, Eaton S, Costa ASH, Brookes PS, Davidson SM, Duchen MR, Saeb-Parsy K, Shattock MJ, Robinson AJ, Work LM, Frezza C, Krieg T, and Murphy MP. Ischaemic accumulation of succinate controls reperfusion injury through mitochondrial ROS. Nature 515: 431–435, 2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Cochemé HM, Logan A, Prime TA, Abakumova I, Quin C, McQuaker SJ, Patel JV, Fearnley IM, James AM, Porteous CM, Smith RAJ, Hartley RC, Partridge L, and Murphy MP. Using the mitochondria-targeted ratiometric mass spectrometry probe MitoB to measure H2O2 in living Drosophila. Nat Protoc 7: 946–958, 2012 [DOI] [PubMed] [Google Scholar]
- 15. Deglasse J-P, Roma LP, Pastor-Flores D, Gilon P, Dick TP, and Jonas J-C. Glucose acutely reduces cytosolic and mitochondrial H2O2 in rat pancreatic beta cells. Antioxid Redox Signal 30: 297–313, 2019 [DOI] [PubMed] [Google Scholar]
- 16. Dey S, Sidor A, and O'Rourke B. Compartment-specific control of reactive oxygen species scavenging by antioxidant pathway enzymes. J Biol Chem 291: 11185–11197, 2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Dlasková A, Engstová H, Špaček T, Kahancová A, Pavluch V, Smolková K, Špačková J, Bartoš M, Hlavatá LP, and Ježek P. 3D super-resolution microscopy reflects mitochondrial cristae alternations and mtDNA nucleoid size and distribution. Biochim Biophys Acta Bioenerg 1859: 829–844, 2018 [DOI] [PubMed] [Google Scholar]
- 18. Dlasková A, Hlavatá L, and Ježek P. Oxidative stress caused by blocking of mitochondrial Complex I H+ pumping as a link in aging/disease vicious cycle. Int J Biochem Cell Biol 40: 1792–1805, 2008 [DOI] [PubMed] [Google Scholar]
- 19. Dlasková A, Špaček T, Šantorová J, Plecitá-Hlavatá L, Berková Z, Saudek F, Lessard M, Bewersdorf J, and Ježek P. 4Pi microscopy reveals an impaired three-dimensional mitochondrial network of pancreatic islet β-cells, an experimental model of type-2 diabetes. Biochim Biophys Acta Bioenerg 1797: 1327–1341, 2010 [DOI] [PubMed] [Google Scholar]
- 20. Doyle ME and Egan JM. Mechanisms of action of glucagon-like peptide 1 in the pancreas. Pharmacol Ther 113: 546–593, 2007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Dröse S and Brandt U. Molecular mechanisms of superoxide production by the mitochondrial respiratory chain. In: Mitochondrial Oxidative Phosphorylation. Advances in Experimental Medicine and Biology vol. 748, edited by Kadenbach B. New York, NY: Springer, 2012, pp. 145–169 [DOI] [PubMed] [Google Scholar]
- 22. Ferdaoussi M, Dai X, Jensen MV, Wang R, Peterson BS, Huang C, Ilkayeva O, Smith N, Miller N, Hajmrle C, Spigelman AF, Wright RC, Plummer G, Suzuki K, Mackay JP, van de Bunt M, Gloyn AL, Ryan TE, Norquay LD, Brosnan MJ, Trimmer JK, Rolph TP, Kibbey RG, Manning Fox JE, Colmers WF, Shirihai OS, Neufer PD, Yeh ETH, Newgard CB, and MacDonald PE. Isocitrate-to-SENP1 signaling amplifies insulin secretion and rescues dysfunctional β cells. J Clin Invest 125: 3847–3860, 2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Fridlyand LE and Philipson LH. Does the glucose-dependent insulin secretion mechanism itself cause oxidative stress in pancreatic beta-cells? Diabetes 53: 1942–1948, 2004 [DOI] [PubMed] [Google Scholar]
- 24. Gerencser AA. Metabolic activation-driven mitochondrial hyperpolarization predicts insulin secretion in human pancreatic beta-cells. Biochim Biophys Acta Bioenerg 1859: 817–828, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Guillaud F, Dröse S, Kowald A, Brandt U, and Klipp E. Superoxide production by cytochrome bc1 complex: a mathematical model. Biochim Biophys Acta Bioenerg 1837: 1643–1652, 2014 [DOI] [PubMed] [Google Scholar]
- 26. Huang S, Heikal AA, and Webb WW. Two-photon fluorescence spectroscopy and microscopy of NAD(P)H and flavoprotein. Biophys J 82: 2811–2825, 2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Ivarsson R, Quintens R, Dejonghe S, Tsukamoto K, in ‘t Veld P, Renström E, and Schuit FC. Redox control of exocytosis: regulatory role of NADPH, thioredoxin, and glutaredoxin. Diabetes 54: 2132–2142, 2005 [DOI] [PubMed] [Google Scholar]
- 28. Ježek J, Dlasková A, Zelenka J, Jabůrek M, and Ježek P. H2O2-activated mitochondrial phospholipase iPLA2γ prevents lipotoxic oxidative stress in synergy with UCP2, amplifies signaling via G-protein–coupled receptor GPR40, and regulates insulin secretion in pancreatic β-cells. Antioxid Redox Signal 23: 958–972, 2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Ježek J, Engstová H, and Ježek P. Antioxidant mechanism of mitochondria-targeted plastoquinone SkQ1 is suppressed in aglycemic HepG2 cells dependent on oxidative phosphorylation. Biochim Biophys Acta Bioenerg 1858: 750–762, 2017 [DOI] [PubMed] [Google Scholar]
- 30. Ježek P, Dlasková A, and Plecitá-Hlavatá L. Redox homeostasis in pancreatic β cells. Oxid Med Cell Longev 2012: 932838, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Ježek P and Hlavatá L. Mitochondria in homeostasis of reactive oxygen species in cell, tissues, and organism. Int J Biochem Cell Biol 37: 2478–2503, 2005 [DOI] [PubMed] [Google Scholar]
- 32. Jezek P, Jaburek M, Holendova B, and Plecita-Hlavata L. Fatty acid-stimulated insulin secretion vs. lipotoxicity. Molecules 23: 1483, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Ježek P, Jabůrek M, and Plecitá-Hlavatá L. Contribution of oxidative stress and impaired biogenesis of pancreatic β-cells to type 2 diabetes. Antioxid Redox Signal 31: 722–751, 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Jitrapakdee S, Wutthisathapornchai A, Wallace JC, and MacDonald MJ. Regulation of insulin secretion: role of mitochondrial signalling. Diabetologia 53: 1019–1032, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Joseph JW, Jensen MV, Ilkayeva O, Palmieri F, Alárcon C, Rhodes CJ, and Newgard CB. The mitochondrial citrate/isocitrate carrier plays a regulatory role in glucose-stimulated insulin secretion. J Biol Chem 281: 35624–35632, 2006 [DOI] [PubMed] [Google Scholar]
- 36. Kalyanaraman B, Dranka BP, Hardy M, Michalski R, and Zielonka J. HPLC-based monitoring of products formed from hydroethidine-based fluorogenic probes—the ultimate approach for intra- and extracellular superoxide detection. Biochimt Biophys Acta 1840: 739–744, 2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Koshkin V, Wang X, Scherer PE, Chan CB, and Wheeler MB. Mitochondrial functional state in clonal pancreatic β-cells exposed to free fatty acids. J Biol Chem 278: 19709–19715, 2003 [DOI] [PubMed] [Google Scholar]
- 38. Kostyuk AI, Panova AS, Bilan DS, and Belousov VV. Redox biosensors in a context of multiparameter imaging. Free Radic Biol Med 128: 23–39, 2018 [DOI] [PubMed] [Google Scholar]
- 39. Kozlov AV, Lancaster JR, Meszaros AT, and Weidinger A. Mitochondria-meditated pathways of organ failure upon inflammation. Redox Biol 13: 170–181, 2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Kussmaul L and Hirst J. The mechanism of superoxide production by NADH:ubiquinone oxidoreductase (complex I) from bovine heart mitochondria. Proc Natl Acad Sci U S A 103: 7607–7612, 2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Lombard DB and Zwaans BMM. SIRT3: as simple as it seems? Gerontology 60: 56–64, 2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. MacDonald MJ. Feasibility of a mitochondrial pyruvate malate shuttle in pancreatic islets. Further implication of cytosolic NADPH in insulin secretion. J Biol Chem 270: 20051–20058, 1995 [PubMed] [Google Scholar]
- 43. Macdonald MJ, Hasan NM, and Longacre MJ. Studies with leucine, beta-hydroxybutyrate and ATP citrate lyase-deficient beta cells support the acetoacetate pathway of insulin secretion. Biochim Biophys Acta 1780: 966–972, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Maechler P. Glutamate pathways of the beta-cell and the control of insulin secretion. Diabetes Res Clin Pract 131: 149–153, 2017 [DOI] [PubMed] [Google Scholar]
- 45. Markevich NI and Hoek JB. Computational modeling analysis of mitochondrial superoxide production under varying substrate conditions and upon inhibition of different segments of the electron transport chain. Biochim Biophys Acta 1847: 656–679, 2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Newman JC and Verdin E. β-Hydroxybutyrate: a signaling metabolite. Annu Rev Nutr 37: 51–76, 2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Patterson GH, Knobel SM, Arkhammar P, Thastrup O, and Piston DW. Separation of the glucose-stimulated cytoplasmic and mitochondrial NAD(P)H responses in pancreatic islet beta cells. Proc Natl Acad Sci U S A 97: 5203–5207, 2000 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Plecita-Hlavata L, Jaburek M, Holendova B, Tauber J, Pavluch V, Berkova Z, Cahova M, Schroeder K, Brandes RP, Siemen D, and Jezek P.. Glucose-stimulated insulin secretion fundamentally requires H2O2 signaling by NADPH oxidase 4. Diabetes 2020. [Epub ahead of print]; DOI: 10.2337/db19-1130 [DOI] [PubMed] [Google Scholar]
- 49. Plecitá-Hlavatá L, Ježek J, and Ježek P. Aglycemia keeps mitochondrial oxidative phosphorylation under hypoxic conditions in HepG2 cells. J Bioenerg Biomembr 47: 467–476, 2015 [DOI] [PubMed] [Google Scholar]
- 50. Plecitá-Hlavatá L and Ježek P. Integration of superoxide formation and cristae morphology for mitochondrial redox signaling. Int J Biochem Cell Biol 80: 31–50, 2016 [DOI] [PubMed] [Google Scholar]
- 51. Plecitá-Hlavatá L, Lessard M, Santorová J, Bewersdorf J, and Jezek P. Mitochondrial oxidative phosphorylation and energetic status are reflected by morphology of mitochondrial network in INS-1E and HEP-G2 cells viewed by 4Pi microscopy. Biochim Biophys Acta 1777: 834–846, 2008 [DOI] [PubMed] [Google Scholar]
- 52. Prentki M, Matschinsky Franz M, and Madiraju SRM. Metabolic signaling in fuel-induced insulin secretion. Cell Metab 18: 162–185, 2013 [DOI] [PubMed] [Google Scholar]
- 53. Rocheleau JV, Head WS, and Piston DW. Quantitative NAD(P)H/flavoprotein autofluorescence imaging reveals metabolic mechanisms of pancreatic islet pyruvate response. J Biol Chem 279: 31780–31787, 2004 [DOI] [PubMed] [Google Scholar]
- 54. Roma Leticia P, Duprez J, Takahashi Hilton K, Gilon P, Wiederkehr A, and Jonas J-C. Dynamic measurements of mitochondrial hydrogen peroxide concentration and glutathione redox state in rat pancreatic β-cells using ratiometric fluorescent proteins: confounding effects of pH with HyPer but not roGFP1. Biochem J 441: 971–978, 2012 [DOI] [PubMed] [Google Scholar]
- 55. Rutter Guy A, Pullen Timothy J, Hodson David J, and Martinez-Sanchez A. Pancreatic β-cell identity, glucose sensing and the control of insulin secretion. Biochem J 466: 203–218, 2015 [DOI] [PubMed] [Google Scholar]
- 56. Sakai K, Matsumoto K, Nishikawa T, Suefuji M, Nakamaru K, Hirashima Y, Kawashima J, Shirotani T, Ichinose K, Brownlee M, and Araki E. Mitochondrial reactive oxygen species reduce insulin secretion by pancreatic beta-cells. Biochem Biophys Res Commun 300: 216–222, 2003 [DOI] [PubMed] [Google Scholar]
- 57. Sanderson TH, Reynolds CA, Kumar R, Przyklenk K, and Hüttemann M. Molecular mechanisms of ischemia–reperfusion injury in brain: pivotal role of the mitochondrial membrane potential in reactive oxygen species generation. Mol Neurobiol 47: 9–23, 2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Santos LRB, Muller C, de Souza AH, Takahashi HK, Spégel P, Sweet IR, Chae H, Mulder H, and Jonas J-C. NNT reverse mode of operation mediates glucose control of mitochondrial NADPH and glutathione redox state in mouse pancreatic β-cells. Mol Metab 6: 535–547, 2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Smolkova K, Dvorak A, Zelenka J, Vitek L, and Jezek P. Reductive carboxylation and 2-hydroxyglutarate formation by wild-type IDH2 in breast carcinoma cells. Int J Biochem Cell Biol 65: 125–133, 2015 [DOI] [PubMed] [Google Scholar]
- 60. Špaček T, Šantorová J, Zacharovová K, Berková Z, Hlavatá L, Saudek F, and Ježek P. Glucose-stimulated insulin secretion of insulinoma INS-1E cells is associated with elevation of both respiration and mitochondrial membrane potential. Int J Biochem Cell Biol 40: 1522–1535, 2008 [DOI] [PubMed] [Google Scholar]
- 61. Spégel P, Andersson LE, Storm P, Sharoyko V, Göhring I, Rosengren AH, and Mulder H. Unique and shared metabolic regulation in clonal β-cells and primary islets derived from rat revealed by metabolomics analysis. Endocrinology 156: 1995–2005, 2015 [DOI] [PubMed] [Google Scholar]
- 62. Spégel P and Mulder H. Metabolomics analysis of nutrient metabolism in β-cells. J Mol Biol 432: 1429–1445, 2020 [DOI] [PubMed] [Google Scholar]
- 63. Tao R, Coleman MC, Pennington JD, Ozden O, Park S-H, Jiang H, Kim H-S, Flynn CR, Hill S, Hayes McDonald W, Olivier AK, Spitz DR, and Gius D. Sirt3-mediated deacetylation of evolutionarily conserved lysine 122 regulates MnSOD activity in response to stress. Mol Cell 40: 893–904, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Tao R, Zhao Y, Chu H, Wang A, Zhu J, Chen X, Zou Y, Shi M, Liu R, Su N, Du J, Zhou H-M, Zhu L, Qian X, Liu H, Loscalzo J, and Yang Y. Genetically encoded fluorescent sensors reveal dynamic regulation of NADPH metabolism. Nat Methods 14: 720–728, 2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Treberg JR, Quinlan CL, and Brand MD. Evidence for two sites of superoxide production by mitochondrial NADH-ubiquinone oxidoreductase (complex I). J Biol Chem 286: 27103–27110, 2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Yoshida T, Alfaqaan S, Sasaoka N, and Imamura H. Application of FRET-based biosensor “ATeam” for visualization of ATP levels in the mitochondrial matrix of living mammalian cells. Methods Mol Biol 1567: 231–243, 2017 [DOI] [PubMed] [Google Scholar]
- 67. Zielonka J, Joseph J, Sikora A, Hardy M, Ouari O, Vasquez-Vivar J, Cheng G, Lopez M, and Kalyanaraman B. Mitochondria-targeted triphenylphosphonium-based compounds: syntheses, mechanisms of action, and therapeutic and diagnostic applications. Chem Rev 117: 10043–10120, 2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Zielonka J and Kalyanaraman B. Hydroethidine- and MitoSOX-derived red fluorescence is not a reliable indicator of intracellular superoxide formation: another inconvenient truth. Free Radic Biol Med 48: 983–1001, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.