Graphical abstract
Sleep/wake cycle-dependent differences in molecular parameters controlling mitochondrial ability to regulate cellular levels of calcium and associated ROS production.
Keywords: Heart, Mitochondria function, Calcium dynamics, Hydrogen peroxide, Diurnal, Clock genes
Abstract
Introduction
Incidents of myocardial infarction and sudden cardiac arrest vary with time of the day, but the mechanism for this effect is not clear. We hypothesized that diurnal changes in the ability of cardiac mitochondria to control calcium homeostasis dictate vulnerability to cardiovascular events.
Objectives
Here we investigate mitochondrial calcium dynamics, respiratory function, and reactive oxygen species (ROS) production in mouse heart during different phases of wake versus sleep periods.
Methods
We assessed time-of-the-day dependence of calcium retention capacity of isolated heart mitochondria from young male C57BL6 mice. Rhythmicity of mitochondrial-dependent oxygen consumption, ROS production and transmembrane potential in homogenates were explored using the Oroboros O2k Station equipped with a fluorescence detection module. Changes in expression of essential clock and calcium dynamics genes/proteins were also determined at sleep versus wake time points.
Results
Our results demonstrate that cardiac mitochondria exhibit higher calcium retention capacity and higher rates of calcium uptake during sleep period. This was associated with higher expression of clock gene Bmal1, lower expression of per2, greater expression of MICU1 gene (mitochondrial calcium uptake 1), and lower expression of the mitochondrial transition pore regulator gene cyclophilin D. Protein levels of mitochondrial calcium uniporter (MCU), MICU2, and sodium/calcium exchanger (NCLX) were also higher at sleep onset relative to wake period. While complex I and II-dependent oxygen utilization and transmembrane potential of cardiac mitochondria were lower during sleep, ROS production was increased presumably due to mitochondrial calcium sequestration.
Conclusions
Taken together, our results indicate that retaining mitochondrial calcium in the heart during sleep dissipates membrane potential, slows respiratory activities, and increases ROS levels, which may contribute to increased vulnerability to cardiac stress during sleep-wake transition. This pronounced daily oscillations in mitochondrial functions pertaining to stress vulnerability may at least in part explain diurnal prevalence of cardiac pathologies.
Introduction
The onset of fatal cardiovascular events shows a clear time-of-the-day dependence with an apparent peak in the early hours of the morning. For example, myocardial infarction has a peak incidence between 06:00 AM and 12:00 noon [1]. There is also an early morning peak in atrial fibrillation, ventricular arrhythmias, cerebral infarction and sudden cardiac death [2], [3], [4]. Several cardiac parameters including heart rate and blood pressure exhibit circadian rhythmicity. Such circadian fluctuations aid the transition from rest/sleep to activity/wake and vice versa but pose significant risk in individuals who are susceptible to adverse cardiovascular events. Historically, these diurnal variations in cardiac function have been attributed to daily behaviors, specifically sleep-wake and fasting feeding cycles, and fluctuations in neurohumoral factors that include a catecholamine surge at wake time and a sudden rise in sympathetic activity [5], [6], [7], [8]. However, recent evidence has emerged supporting the idea that an intrinsic circadian clock within the cardiovascular system mediates time of the day dependent variations in heart function and response to injury [9], [10], [11]. There are a few commonly accepted models explaining why this happens from neurohormonal loops (including cortisol and sympathetic nervous system) to metabolic and electrophysiological circadian oscillation within cardiomyocytes (reviewed in [12]). However, the precise mechanism by which the circadian clock system coordinates heart energy homeostasis is not fully understood.
In the heart, calcium ions (Ca2+) play a central role in the regulation of energy balance and the coordination of myocardial contractile activity. Ca2+ homeostasis is disrupted in cardiovascular pathological states including heart failure and ischemia [13]. Mitochondrial Ca2+ uptake regulates cellular bioenergetics by enabling mitochondria to tune adenosine triphosphate (ATP) generation required for contraction and hence play a part in cardiac excitation–contraction coupling [14]. However, excessive mitochondrial Ca2+ accumulation causes respiratory inhibition, increased reactive oxygen species (ROS) production and induction of mitochondrial permeability transition pore (mPTP) opening, resulting in mitochondrial swelling, cytochrome C release and eventual apoptotic cell death [15]. In the suprachiasmatic nucleus (SCN) of rodents, time-of-day–dependent oscillations in levels of intracellular Ca2+ have been reported [16], [17], [18], [19], [20]. In addition, multiple Ca2+ channels within mouse brain and the L-type voltage gated Ca2+ channels (L-VGCCs) within embryonic chick hearts are regulated by the circadian clock [21], [22]. A previous study detected weak rhythms in intracellular calcium levels in dispersed cardiomyocytes [23]. To the best of our knowledge, no study has assessed whether the mitochondrial Ca2+ dynamics in the heart oscillate during the day and how this oscillation, if present is synchronized with the mitochondria function and ROS homeostasis.
Our goal in this study is to analyze subtle sleep/wake cycle differences in mitochondrial calcium dynamics, mitochondrial function, and ROS homeostasis in mice heart using an array of sensitive techniques. Our results highlight inherent diurnal oscillation in mitochondrial calcium dynamics that is correlated with the circadian rhythmicity of mitochondrial function and ROS homeostasis in the heart. Understanding the complex interactions between circadian rhythms and mitochondrial calcium dynamics in the heart may provide insight into potential preventative and therapeutic approaches for susceptible populations.
Materials and methods
Animals
Young (6–8 weeks) C57BL6 male mice were purchased from Misr University for Science and Technology (Cairo, Egypt) and were certified to be purchased originally from Charles River Laboratories (U.S.A). Mice were housed in Zewail City animal facility until sacrificed. Animals were divided into two subgroups housed in normal or reversed light–dark cycles for at least 6–8 weeks before being used for experiments, with lights on (Zeitgeber cue; ZG 0) at 8:00 am and off at 8 p.m. (ZG 12). Animals sacrificed around ZG 0, ZG 16, and ZG 20 are considered awake and those sacrificed around ZG 4, ZG 8, and ZG 12 are considered asleep [22]. All animals were maintained in temperature-controlled rooms, with free access to water and standard laboratory rodent chow. Pairs of animals (one normal vs. one reversed light/dark cycle) were euthanized at 8 a.m., 12 p.m., or 4 p.m., by exposure to over dose of isoflurane followed by cervical dislocation. All animal work was carried out in adherence to the National Institutes of Health guide for the care and use of Laboratory animals (NIH Publications No. 8023, revised 1978) and was approved by Zewail City Administration. Animal studies conducted at UCSD were approved by the VA San Diego Healthcare System Institutional Animal Care and Use Committee (Protocol # A13-005).
Animals utilized in the study were divided into 3 groups, the first group involved 36 animals used for circadian profiles including 6 animals per time point (every 4 h) and used for mitochondrial metabolic and calcium dynamics studies. For sleep/wake gene expression profiles by qPCR comparisons, 6 mice were sacrificed at 8 a.m. (ZG 0) and another 6 mice were sacrificed at 12 p.m. (ZG 4) and hearts were stored in the −80 °C until analyzed. The third group was devoted to explore the effect of quercetin treatment on mitochondrial ROS production, respiratory parameters, and calcium dynamics. This group included heart tissue from a total of 12 mice analyzed either at ZG 0 (N = 6) or ZG 4 (N = 6). The total number of animals euthanized in this study is 60 mice. The outcome measures or phenomena being measured are variable and large sample sizes are necessary for statistically valid sampling. Based on our previously published work, we estimate error around 10% SD when using n = 6–8 per group for 10–15% expected conditional effects. With type 1 error of 5% (alpha) and type 2 error (beta) 0.2, we calculated that the minimum necessary number of animals to reach significance is ~ 6 per condition.
Online power calculators were used to calculate the figures provided; e.g. http://powerandsamplesize.com/Calculators/Compare-2-Means/2-Sample-1-Sided.
Measurements of mitochondrial respiratory activities
After cervical dislocation, whole heart was dissected and immersed in ice-cold mitochondrial respiration medium, MIR05 containing 110 mM sucrose, 60 mM K-lactobionate, 0.5 mM EGTA, 1 g/liter BSA essentially fatty acid free, 3 mM MgCl2, 20 mM taurine, 10 mM KH2PO4 and 20 mM HEPES adjusted to pH 7.1 at 37 °C. Tissues were then transferred to a filter paper to remove excess liquid. A wet weight (1.4 mg of left atrium) was determined with a microbalance. Tissues were then transferred into Eppendorf tubes containing 2 ml of ice-cold, fresh MIR05 buffer. Using a pair of sharp forceps, tissues were cut into small pieces and transferred with the medium into an FT500-PS Shredder Pulse Tube for use with the PBI- shredder (Oroboros Instruments, Innsbruck, Austria). Tissue-dependent homogenization was then carried out according to the manufacturer’s instructions.
Mitochondrial respiratory assessment and hydrogen peroxide production were carried out at 37 °C using the high-resolution respirometry system O2k (Oroboros Instruments, Innsbruck, Austria) in 2-ml chambers as previously described [24], [25]. Before starting the experiment, calibration at air saturation versus zero oxygen was performed by allowing the respiration medium, MIR05 to equilibrate with air in the oxygraph chambers and stirred at 540–560 rpm for 30–40 min, until a stable signal was detected. 2 ml of heart (1.4 mg) homogenate was then added to each chamber, and tissues were permeabilized by the addition of saponin (50 μg/ml). Horseradish peroxidase (1 U per ml) and Amplex UltraRed fluorescent dye (10 µM), were then added, and the substrate–uncoupler–inhibitor titration (SUIT) protocol was performed as follows: Pyruvate Malate Glutamate (PMG) → ADP (D) → Succinate (S) → Oligomycin (O) → Carbonyl cyanide m-chlorophenyl hydrazone (CCCP) → Rotenone (R) → Antimycin A (Ama) → N,N,N',N'-tetramethyl-p-phenylenediamine/Ascorbate (TMPD/Asc). The rates of oxygen consumptions were calculated as the negative time derivative of oxygen concentration. Electron transport through complex I and III was abolished by adding rotenone (0.5 µM) and antimycin A (2.5 µM), respectively. The rate of hydrogen peroxide (H2O2) formation was detected in parallel to oxygen consumption in the same sample. Horseradish peroxidase (HRP) and Amplex UltraRed fluorescent dye were utilized with 525 nm excitation wavelength and 587 nm fluorescence detection wavelength. Signals were calibrated using known amounts of hydrogen peroxide that were exogenously added by the end of each run. Data acquisition and analysis were performed with the DatLab® software, version 4.3 (Oroboros Instruments). Oxygen consumption rate (OCR) and rate of H2O2 formation were normalized to citrate synthase activity.
Isolation of mitochondria
Isolation of mitochondria from hearts of mice was performed according to the method described previously [26]. Briefly, the heart was homogenized in mitochondrial isolation buffer containing (30 mM sucrose, 10 mM HEPES, pH 7.2, 0.2 mM EDTA, 1 mg/ml fatty acid free BSA) at 4 °C. Mitochondria were isolated by differential centrifugation. A Bradford assay was performed to determine protein concentrations that were used for normalization.
Calcium retention capacity (CRC) in isolated mitochondria
In a 96 well plate, 20 ~ 25 μg of isolated mitochondria were suspended in a total volume of 200 μL of assay buffer (adjusted to pH 7.4) containing (20 mM HEPES, 125 mM KCl/KOH, and 2 mM KH2PO4), followed by the addition of rotenone (0.5 µM) and succinate (10 μM). Calcium Green 5 N (1 μM) was then added and incubated for 5 min at room temperature. Successive pulses of Ca2+ (20 μM) were injected using programmable micro-infusion pump (BMG Labtech, Germany) every 30 sec to the energized mitochondria until a plateau of fluorescence was detected. The Calcium Green fluorescence was measured in a FLUOstar omega plate reader (BMG Labtech) using an excitation/emission wavelength of 506/532 nm respectively. Parameters pertaining to mitochondrial calcium dynamics were analyzed as follows: Rates of calcium uptake by mitochondria were estimated through the calculation of the slope of fluorescence decay following the abrupt rise in response to Ca2+ pulses. CRC were estimated as the overall amounts of infused Ca2+ that were necessary to cause mPTP opening as detected by sharp rise in the fluorescence of Calcium Green following mPTP and mitochondrial calcium release [27]. Amounts of Ca2+ retained inside mitochondria following a given number of Ca2+ pulses were calculated by subtracting the residual fluorescence minus the observed fluorescence after the addition of similar Ca2+ concentration in the absence of mitochondria. We calibrated the Ca2+ fluorescence signal using a Ca2+ calibration curve that was obtained in the absence of mitochondrial uptake due to uncoupling by FCCP. Increased fluorescence units resulting from 20 μM-boluses of Ca2+ (3 statistical replicates) were plotted against cumulative [Ca2+].
Measurement of mitochondrial transmembrane potential
Heart tissues (1.4 mg) were homogenized and transferred to an O2k chamber. Tissues were permeabilized by the addition of saponin (50 μg/ml) and incubated with a lipophilic cationic fluorescence probe tetramethylrhodamine ethyl ester (TMRE) (0.5 μm) for 10 min. The membrane potential-dependent sequestration of TMRE in the mitochondria was assessed by measuring TMRE fluorescence using O2k-Fluorescence LED2-Module (Oroboros Instruments, Innsbruck, Austria) with excitation set at 490 nm and emission at 590 nm. Data were normalized to citrate synthase activity.
Quantitative real-time polymerase chain reaction (Q-RT-PCR)
Heart tissue section above apex from each mouse was collected for RNA isolation. Q-RT-PCR procedures were performed as previously described [28]. RNA was isolated using Trizol (Invitrogen) from heart biopsies of mice sacrificed at different time points. RNA purification was performed using RNeasy minikit (Qiagen) and cDNA reverse transcription was then carried out using High-capacity reverse transcription kit (Applied Biosystems). RT-PCR was carried out using primer-specific annealing temperature. PowerUp™ SYBR™ Green Master Mix (Applied Biosystems) was used to perform Q-RT-PCR on QuantStudio Real-Time PCR (QuantStudio 12 K Flex Real-Time PCR System). Levels of RNA were normalized to β-actin levels and estimated as delta-delta threshold cycle (ΔΔCT). All Q-RT-PCR reactions were carried out in triplicate. Primers used for RT-PCR are listed in Table 1.
Table 1.
List of primers employed in the present study.
Name of genes | Forward primer (5′-3′) | Backward primer (5′-3′) |
---|---|---|
mβ-actin | CTGTCCCTGTATGCCTCTG | ATGTCACGCACGATTTCC |
mGAPDH | GTTGTCTCCTGCGACTTCA | GGTGGTCCAGGGTTTCTTA |
mND1 | GCATCCGATATCAAGATGGATCG | CTTTAACCGTAACTCAGCCTTTTCA |
mCypD | CAGACGCCACTGTCGCTTT | TGTCTTTGGAACTTTGTCTGCAA |
mMICU1 | AACAGCAAGAAGCCTGACAC | CTCATTGGGCGTTATGGAG |
mEMRE | GTCAGTCATCGTCACTCGCA | CCCTGTGCCCTGTTAATCGT |
mMICU2 | CATGACACCCCGAGACTTCC | CCAGAGTGAGGTTTTGTGAGGA |
mNCLXq | TCGCTGTGACTTTGTCAGGA | AAGCAGCCAGAAAACGTAGAGG |
mMCUb | ATGCGTCGTTAATGCCAGGA | TGTTATTTCATCCTGTGGCTCC |
mMCU | TACTCACCAGATGGCGTTC | GTCCTCTAACCTCTCCAC |
mBmal | CAC TGT CCC AGG CAT TCC A | TTC CTC CGC GAT CAT TCG |
mPer2 | AAT CTT CCA ACA CTC ACC CC | CCT TCA GGG TCC TTA TCA GTTC |
Tissue harvest
4 months-old C57BL6 WT mice were used to analyze the circadian expression of heart mitochondrial proteins. For this purpose, hearts (n = 5 per time point) were collected immediately before the animal facility’s lights turned on (at 6.00 AM) and 4hrs later (10.00 AM), corresponding to ZG = 0 and ZG = 4; respectively. Hearts were placed in mouse heart matrix, and apex was collected and snap-frozen in liquid nitrogen until total protein isolation.
Protein isolation and western blot analysis
Heart apex was pulverized in tissue pulverizer cooled in dry ice. Pulverized tissue was placed in 600 μL fresh lysis buffer (150 mM Na2CO3, supplemented with 1X protease/phosphatase inhibitor cocktail, pH 11) in a 2 ml Qiagen tube with one metal bead; samples were homogenized for 5 min at 50 oscillations/second in a Qiagen Tissuelyser Lt Bead Mill. Samples were let to settle on ice for 30 min and subsequent sonication (20 sec at 40% sonication intensity). 5 μg protein was loaded per well and resolved in 12% SDS gel. For immunoblot detection of mitochondrial and circadian proteins antibodies against ND1 (SAB4501927, Sigma), MCU (14997, Cell Signaling), MCUb (HPA048776, Sigma), MICU1 (HPA037480, Sigma), MICU2 (ab101564, Abcam), NCLX (ab136975, Abcam), EMRE (PAS23032, custom), BMAL1 (14020, Cell Signaling), Per2 (ab179813, Abcam), and GAPDH (2118S, Cell Signaling) were used at 1:1000 dilution. Band density analysis was performed with ImageJ software; all data is represented as total protein expression normalized by GAPDH.
Statistical analysis
Shapiro-Wilk normality test was carried out on all collected data sets and unless otherwise mentioned, all data sets were found to be significantly drawn (at the 0.05 levels) from normally distributed populations thus allowing mean comparisons using Student’s t test. Welsh adjusted t test was used for relatively large sample sizes (N > 10) where equal variance is not assumed and/or whenever data with different sample sizes where compared. ANOVA followed by Tukey test was also employed for multiple groups’ comparisons. Statistical significance was reached when p < 0.05. Chronographs depict means ± standard error of means (SEM) while Bar graphs and whisker plots show mean ± standard deviation (coefficient of variance at 1.5).
Results
Temporal profile of calcium dynamics in cardiac mitochondria
Mitochondria are a major player in dictating Ca2+ homeostasis and the Ca2+-induced cellular response to stress. To determine whether sleep/wake cycle affects calcium uptake by mitochondria, the CRC assay has been performed using isolated mitochondria from murine hearts at different time points during the day. Between 4 and 12 successive 20-μM calcium pulses were applied to isolated mitochondria in the presence of 1 μM Calcium Green 5 N dye (which binds cytosolic Ca2+ to generate detectable fluorescence). Mitochondrial Ca2+ uptake leads to gradual decrease in the observed fluorescence, but the accumulation of the hydrated calcium ions leads to mitochondrial swelling and eventually burst; i.e. mPTP opening which results in a substantial increase in extramitochondrial Ca2+ concentration. Using this assay, Ca2+ retention capacity (CRC) was estimated as the amount of infused calcium that is necessary for triggering mPTP opening.
Representative traces for Ca2+ pulsing of cardiac mitochondria at ZG 0 (wake) and ZG 4 (sleep) are given in Fig. 1A. It is clear from Fig. 1A that cardiac mitochondria isolated during sleep period exhibit greater tolerance to calcium pulsing relative to those isolated from animals sacrificed during their wake periods. Fig. 1B shows the chronogram of CRC recorded every 4 h over 24 h period which demonstrate that mitochondria isolated from animals in their sleep and early wake periods exhibit greater CRC (ZG 4 vs. ZG 0; ZG 16; and ZG 20, p < 0.01, by ANOVA followed by Tukey test, N = 5–9 animals per time point as specified in the figure’s legend). Overall, when time points were combined into two groups; i.e. wake and sleep groups, mitochondria from hearts of mice sacrificed during sleep and early wake period (ZG 4, 8, 12; total of 18 mice) exhibited significantly higher calcium retention capacity relative to wake (ZG 0, 16, 20; total of 21 mice) period (6.9 ± 0.5 vs. 4.34 ± 0.57 respectively; p < 0.01), suggesting delayed mPTP opening of cardiac mitochondria under Ca2+ overload during sleep (Fig. 1C).
Fig. 1.
Variation of the calcium retention capacity of cardiac mitochondria over the day. (A) Representative traces for calcium pulsing assay that is used to assess calcium retention capacity (CRC) of freshly isolated cardiac mitochondria from hearts of mice sacrificed at ZG 0 (Wake) and ZG 4 (Sleep) with arrows indicating successive infusions of 20-µM calcium pulses every 60 s in the presence of the low-affinity Calcium Green 5 N dye as detailed in the Methods’ Section. (B) Chronogram displaying time of the day-dependent variations in CRC of cardiac mitochondria (µM Ca2+/µg protein). n = 7, 9, 6, 6, 5, 6 animals time points ZG 0, 4, 8, 12, 16, 20; respectively. CRC was calculated for each time point as the sum of Ca2+ pulses taken-up by mitochondria prior to the induction of mPTP opening and mitochondrial burst marked by abrupt increase in fluorescence. (C) Comparing RCRs quantified for cardiac mitochondria isolated during wake period (mice sacrificed at ZG 0, 16, and 20, total of 21 mice) versus those sacrificed during sleep and early wake period (ZG 4, 8, and 12, total of n = 18 mice). p-values are calculated using ANOVA followed by Tukey test for means comparisons and are given for relevant conditions. Data are shown as mean ± SEM for (B) and mean ± SD for (C).
Mitochondrial Ca2+ dynamics involve a delicate balance between Ca2+ influx and efflux that are controlled by multiple channels such as mitochondrial calcium uniporter (MCU) and antiporters (Na+ dependent and independent Ca2+ exchangers) (Na+/Ca2+ exchanger). mPTP opening is most likely to occur when relatively large amounts of Ca2+ are sequestered in mitochondria or when the uptake of Ca2+ is very fast while release is slow. Accordingly, the amount of Ca2+ sequestered by mitochondria and the rate of Ca2+ uptake were also studied (Fig. 2). An initial rapid spike in Calcium Green-5 N fluorescence intensity is detected when Ca2+ is added to isolated mitochondria, which was followed by a slower decrease in the fluorescence intensity, corresponding to mitochondrial Ca2+ uptake (Fig. 2A).
Fig. 2.
Analysis of calcium dynamics in freshly isolated cardiac mitochondria reveals disparity in their ability to tolerate calcium stress during sleep versus wake periods. (A) Rates of mitochondrial Ca2+ uptake estimated by calculating the time taken for the decaying calcium fluorescence signal to reach half of the initial amplitude is denoted ‘τ1/2′ (B) Ca2+ calibration curve constructed by plotting changes in fluorescence intensity following incremental additions of known Ca2+ concentrations on a buffer containing Calcium Green 5 N dye in the absence of mitochondrial uptake. (C) Mitochondria isolated from mice hearts during their sleep period showed a weak trend of increased sequestration of calcium following the first four 20-µM Ca2+ pulses relative to those isolated during the wake periods (p = 0.10, n = 15 and 20 mice for wake and sleep periods; respectively). Mitochondria-retained calcium was calculated by subtracting expected-minus-observed fluorescence intensities and conversion to concentrations using the calibration curve. (D) Chronogram depicting time-of-the-day dependence of τ1/2 (the time taken for calcium signals to decay to half of their initial amplitude). N = 7, 9, 6, 6, 5, 6 animals per time points ZG 0, 4, 8, 12, 16, 20; respectively. τ1/2 was determined for each of the first 4 pulses whenever observed. ZG 16 was significantly higher when compared with all other time points, p < 0.01 by one way ANOVA followed by Tukey test. (E) Data in panel D assembled in wake versus sleep groups and showed significantly lower τ1/2; i.e., faster calcium uptake by mitochondria isolated from animals sacrificed during sleep period. τ1/2 values were obtained for individual pulses observed and compared for the two groups by ANOVA followed by Tukey test, p = 0.008 (n = 18 and 21 mice for sleep and wake periods; respectively). Data are shown as mean ± SEM for (D) and mean ± SD for (B,C,E).
In our experiments, mitochondrial burst was rarely seen during the infusion of the first four Ca2+ pulses irrespective of the time of the day. Thus, the amount of Ca2+ sequestered by mitochondria after the first four 20 μM Ca2+ pulses was determined during sleep and wake periods. We calibrated the Ca2+ fluorescence signal using a Ca2+ calibration curve that was obtained in the absence of mitochondrial uptake (Fig. 2B). The dissociation constant (Kd) describes how tightly an indicator dye binds Ca2+ ions. The Kd corresponds to the concentration of Ca2+ at which half the dye molecules are bound with Ca2+ at equilibrium. Kd for Calcium Green 5 N, which is a low affinity indicator is 14 μM. It is recommended to employ Ca2+ concentration ranges between 0.1 and 10xKd to maintain calcium determinations within the linear range of the calibration curve [29], which doesn’t necessarily imply that the dye loses response above this range. The curve in Fig. 2B shows a non-linear behavior but still showed reproducible fluorescence response up to 200 μM. However, most of our recorded changes in [Ca2+] used for rate calculations for individual pulses are below 20 μM which is well-within the linear response below 60 μM-[ Ca2+]. When we assessed the amounts of Ca2+ accumulated in cardiac mitochondria after adding the first 4 pulses of Ca2+ we observed a weak trend for higher calcium concentrations retained in mitochondria in the sleep group (2.59 ± 0.23 μM.μg−1 protein, sleep group vs. 1.88 ± 0.38 μM.μg−1 protein, wake group, p = 0.10, Fig. 2C).
To shed light on the inherent ability of mitochondria to handle calcium stress we analyzed the average rates of mitochondrial Ca2+ uptake (Supplementary Fig. S1) by calculating the slope of the initial phase of fluorescence decay as shown in Fig. 2A. Traces with clear pulses characterized by fluorescence rise followed by fluorescence decay (Ca2+ uptake), plateau (equilibrium), or even rise (release) prior to mPTP openings were considered in this analysis which is reflected in positive, zero, or negative rate values. We show in Supplementary Fig. S1.A the chronogram of the normalized rates of calcium uptake at various time points. Only ZG 4 showed statistically higher rates relative to ZG 8 and ZG 12 (p < 0.05). Yet, the rates of Ca2+ uptake calculated from the initial uptake phase for each of the first 4 pulses of Ca2+ during sleep and wake periods were not significantly different (1.10 ± 0.16 μM.min−1.μg−1 protein during wake vs. 1.25 ± 0.20 μM.min−1.μg−1 protein during sleep, Fig. S1.B). To evaluate the overall rate of calcium uptake for each pulse we followed the time after which the signal amplitude drops to half of its initial value [30]. Mean half-amplitude time determined at ZG 16 was significantly greater than all other time points including ZG 4 (Fig. 2D). When combined data from wake period was compared with those determined during sleep period the former showed longer τ1/2; i.e. slower decay due to slower calcium uptake by mitochondria (τ1/2 = 55.6 ± 5.6 s during wake vs. 38.7 ± 1.7 s during sleep, p = 0.007, Fig. 2E). It appears from these data that the initial phase of calcium uptake during the first few seconds following each pulse shows a weak dependence on the time of the day while slower uptake starts to prevail later (>10 s) especially around ZG16. However, it is not clear at this stage how these observations relate to the ability of cardiac tissue to handle calcium stress at various times during the day.
Sleep/wake cycle-dependent expressions of clock, mitochondrial and Ca2+- related genes in the heart
Our results so far demonstrate that Ca2+ dynamics in cardiac mitochondria are dependent on the time of the day with higher rates of calcium uptake and greater retention capacity observed during sleep. We then moved to explore how the observed functional characteristics in isolated mitochondria match with levels of genes encoding for proteins relevant to mitochondrial calcium machinery (MCU, MCUb (two subunits), MICU1, MICU2, EMRE, CypD, and NCLX) along with two important clock genes (Bmal1 and Per2); Fig. 3 A,B. We first asked how circadian clock gene expression in the heart is related to calcium rhythms in cardiac mitochondria. We monitored cardiac expression of the rhythmic clock genes Bmal1 and Per2 at ZG 0 (time point during wake period) and ZG 4 (time point during sleep period) (Fig. 3B). Bmal1 has been reported to be a main regulator of the Ca2+ circadian rhythms in neurons of the SCN of the hypothalamus [31]. As shown in Fig. 3B, cardiac expression of Bmal1 gene was significantly lower at ZG 0 in comparison with ZG 4 (0.71 ± 0.16 vs. 3.54 ± 1.3, p = 0.043; ANOVA test, n = 10 per group, Fig. 3B). The opposite trend was observed for the mRNA level of Per2 when going from ZG 0 to ZG 4 (2.3 ± 0.3 vs. 0.50 ± 0.06, p < 0.0001, Fig. 3B). The clock genes relative trends of changes are remarkably similar to previous reports including linking disturbance in their diurnal rhythms with cardiovascular risks [32]. We also detected significant differences in cardiac gene expression of NADH dehydrogenase (ND1, Ubiquinone) between ZG 0 and ZG 4 with higher level during sleep (Fig. 3B) indicating that diurnal changes in clock genes may also be associated with significantly detectable parallel changes in mitochondrial ETC complexes’ biogenesis.
Fig. 3.
Sleep/wake profiles of expressions of mitochondrial-, calcium-, and clock-related genes and proteins in mice hearts. (A) Schematic representation of mitochondrial calcium uniporter (MCU) Ca2+ channel showing subunits assessed in this work. Genes quantified include Bmal1; Per2; NAD dehydrogenase (ND1); MCU and subunits depicted; along with sodium/calcium exchanger channel (NCLX) and cyclophilin D (CypD). (B) Comparing cardiac gene expressions at ZG 0 versus ZG 4. The numbers of animals studied at each time point are n = 5 for ND1, MCU1, MCUb, MICU2, EMRE, and NCLX; n = 9 for MICU1 and CypD; and n = 10 for Bmal, Per2, and MCU. One way ANOVA followed by Tukey test was employed for comparisons of means, p < 0.05 (*), p < 0.01 (**) (C,D) Western blot detection of various proteins pertaining to clock and mitochondrial calcium dynamics in mouse hearts extracted at ZG0 versus ZG4 (quantified in D, n = 4 for ND1 and MCUb and 5 for other proteins, one way ANOVA followed by Tukey test, p < 0.05 (*) or p < 0.01 (**)). (E) MICU1 to MCU and MICU2 to MCU (F) ratios are calculated from levels of protein expression (n = 5 per group, data shown are Means ± SD).
We then proceeded to explore diurnal variations in the expression levels of genes encoding for key regulators of mitochondrial calcium dynamics at ZG 0 and ZG 4 (illustrated in Fig. 3A and analyzed in Fig. 3B). Mitochondrial calcium uniporter (MCU) was reported to be the route for Ca2+ uptake into mitochondria. A regulatory subunit, mitochondrial calcium uniporter 1 (MICU1) has been recently shown to stimulate MCU activity [33]. We observed a non-significant difference in the level of gene expression of MCU between ZG 0 and ZG 4 in murine heart (1.20 ± 0.13 during wake vs. 1.0 ± 0.2 during sleep; n = 10 per group, Fig. 3B). However, cardiac MICU1 expression was significantly lower at ZG 0, compared to ZG 4 (0.86 ± 0.18 vs. 2.14 ± 0.54, p = 0.047; n = 9 and 10 animals, Fig. 3B). Increased expression in MICU1 is in tune with the higher rate of calcium uptake by cardiac mitochondria observed during sleep relative to wake period particularly under challenging mitochondria with higher [Ca2+].
Because the process of opening of mPTP depends on the sensitivity of mPTP to Ca2+, we examined the expression levels of cyclophilin D gene (CypD), which is the major sensor of Ca2+ and mPTP pore regulator [34], [35]. Our results revealed that cardiac expression of CypD at ZG 0 showed a clear trend towards higher level relative to that at ZG 4 (1.44 ± 0.27 during wake vs. 0.84 ± 0.15 during sleep, p = 0.06; n = 9 and 10 animals; respectively, Fig. 3B), providing evidence for enhanced sensitivity of opening of mPTP to Ca2+ during wake period. This implies that during sleep, mitochondrial Ca2+ influx is facilitated by MICU1 subunit upregulation, but efflux might be hindered due to CypD downregulation.
Sleep/wake cycle-dependent expressions of clock and Ca2+-related proteins in the heart
To extrapolate on the gene findings, we then moved to assess expression levels of various relevant proteins including MCU, MCUb, MICU1, MICU2, EMRE and NCLX in homogenized heart tissue collected either at ZG0 or ZG4 (Fig. 2C,D). Among those proteins, statistically significant increase in expression levels of MCU, MICU2 and NCLX were observed at ZG4 (Fig. 3C). Mitochondrial Ca2+ uptake behavior for a population of mitochondria within a tissue was elegantly shown to be dictated by the relative abundance of MICU1 and MCU [36]. In the present work, we found that the MICU1:MCU protein ratio decreased significantly from 0.51 ± 0.04 to 0.29 ± 0.03 (n = 5 per group, p < 0.01) on going from wake (ZG0) to onset of sleep (ZG 4); upper panel of Fig. 3E. Similar trend that didn’t reach statistical significance was observed for the MICU2:MCU ratio; lower panel of Fig. 3E. The trend towards lower ratio on the onset of sleep indicate relative abundance of MICU1-free uniporters that maybe compared with MICU1 loss of function or down-regulation/knock-out.
Ca2+ retention during sleep lowers mitochondrial oxidative phosphorylation (OXPHOS), dissipates transmembrane potential, and produces more ROS
Given that Ca2+ cycling and mitochondrial bioenergetics are interlinked [37], we followed the effect of sleep/wake cycle on mitochondrial bioenergetics in the heart. We evaluated mitochondrial respiration as oxygen consumption (Fig. 4 A&D), ROS production (Fig. 4 C&F) and transmembrane potential by O2k‐Fluorometry utilizing the TMRE fluorescence assay (Fig. 4 B&E) in heart homogenate of 2–4‐month‐old male C57BL6 mice during sleep/wake cycle. The representative traces in Fig. 4 show that mitochondrial oxygen utilization and transmembrane potential are augmented in cardiac mitochondria during the wake period especially following the addition of succinate. This was associated with lower hydrogen peroxide (H2O2) flux in the wake group (Fig. 4C compared with Fig. 4F).
Fig. 4.
Cardiac mitochondrial function is dependent on sleep/wake cycle. Comparison of sleep/wake cycle-dependent rates of mitochondrial oxygen consumption (A vs. D), transmembrane potential (B vs. E), and H2O2 production (C vs. F) in homogenized, saponin-permeabilized young mice heart. Representative traces illustrate ETC substrate-specific O2 utilization (A&D) and H2O2 production (C&F) during Substrate-Uncoupler-Inhibitor Titration (SUIT) protocol in mice heart homogenate at ZG 0 (Wake) and ZG 4 (Sleep) (B&E). Representative traces of transmembrane potential in homogenized and saponin-permeabilized young mice heart at ZG 0 and ZG 4.
We followed the chronograms of oxygen consumption rate (OCR), transmembrane potential and H2O2 flux over 24 h in homogenized mouse hearts (Fig. 5 A-C; respectively). Furthermore, we compared OCR, transmembrane potential, and ROS flux that were pooled for time points during sleep against those during wake cycles (Fig. 5D-F). A strong trend of higher OXPHOS‐II-dependent OCR during wake was observed (35.19 ± 6.07 for sleep (n = 26) vs. 59.35 ± 10.3 for wake (n = 29); p = 0.054, Fig. 5D). This was confirmed by the finding that cardiac mitochondria have significantly lower transmembrane potential during sleep period as compared to wake period (0.67 ± 0.06 for sleep vs 1.03 ± 0.12 for wake, p = 0.015 Fig. 5E). However, the rate of H2O2 production during OXPHOS‐I + II in cardiac mitochondria is significantly higher during sleep compared to wake period (2.12 ± 0.19 for sleep vs. 1.49 ± 0.16 for wake, p = 0.014, Fig. 5F).
Fig. 5.
Mitochondrial functions exhibit time of the day dependence in young mice hearts. Chronograms displaying time of the day quantified variations in OCR (A), TMRE fluorescence reflecting mTMP (B) and H2O2 flux per volume (C) over 24 h and normalized to citrate synthase activity in homogenized mice hearts (n = 12, 11, 9, 6, 8, 6 animals at ZG 0, 4, 8, 12, 16, 20; respectively). (D) Normalized rates of oxygen consumption in mice heart homogenate pooled to compare wake with sleep periods (p = 0.0549), (E) normalized TMRE fluorescence (p = 0.015), and (F) normalized H2O2 flux (p = 0.014) (from D to F, n = 26 for sleep and n = 29 for wake groups). Data are represented as mean ± SEM (A-C) and mean ± SD (D-F). Means comparisons were carried out using by ANOVA followed by Tukey test.
It is increasingly reported that Ca2+ and ROS flux are interlinked. Genetically encoded Ca2+ sensors, targeted to the mitochondria, enabled the use of fluorescence microscopy to show that quercetin, a well-described antioxidant, decreased mitochondrial [Ca2+] [38]. A previous report [39] indicated that quercetin reduces cell swelling by regulating intracellular [Ca2+]. We therefore investigated whether quercetin would prevent calcium accumulation in cardiac mitochondria observed during sleep period (Supplementary Fig. S2). In a representative subgroup (N = 4) of isolated heart homogenates we followed the effects of quercetin treatment on respiratory oxygen fluxes (Fig. S2.A) hydrogen peroxide and (Fig. S2.B) and followed the effect of addition of 100 μM quercetin on these parameters (quantified in Fig. S2.C&D). We also followed calcium uptake by isolated mitochondria during both wake and sleep cycles (Fig. S2.E&F). Our results indicated that quercetin effectively quenched ROS production in homogenized and permeabilized cardiac tissue while preserving oxygen consumption at ZG0. These effects were more pronounced in case of mitochondria isolated at ZG4. Quercetin also dramatically blocked calcium uptake in freshly isolated mitochondria especially at ZG0 (Fig. S2.F). That is, when CRC was measured for isolated mitochondria at ZG0 following their incubation with 100 μM quercetin for 5 min, no bursting mitochondria behavior was detected (n = 6; 4 showed staircase and 2 non-bursting responses) as compared with untreated mitochondria (n = 8; 6 bursting and 2 staircase responses). For those isolated at ZG4, more than half of the studied animals continued to exhibit mPTP opening with quercetin (4 out of 7) relative to untreated mitochondria. These results indicate that quercetin treatment of mitochondria isolated at ZG 4 was less protective against calcium overload.
Discussion
Previous studies of the diurnal rhythmicity of cardiac physiology and associated risk for fatal cardiovascular events have not investigated either oscillations in cardiac mitochondrial calcium dynamics or their coupling with any circadian oscillations in mitochondrial bioenergetics and ROS homeostasis. Here we demonstrate for the first time that the heart mitochondrial CRC is significantly higher during sleep and is associated with, and may be regulated by, an increase in mitochondrial ROS production. In the utilized calcium pulsing protocol we employed very commonly used stimulating concentrations [40], [41], [42], [43], [44]. In human heart, it is known that the resting cytosolic [Ca2+] is around 100 nM, but with each heart beat this level usually rises 10 times to be around 1 μM [45]. However, close proximity of the abundant intermyofibrillar mitochondria to the sarcoplasmic reticulum creates microdomains in which mitochondria maybe exposed to [Ca2+] as high as > 20 μM [46]. In fact, the mitochondrial calcium uniporter, which is activated by calcium binding, was reported to have a low affinity of 5–10 μM. Consequently, if 10–20 μM [Ca2+] are not physiological, it would appear that cytosolic calcium would never rise to levels high enough to activate the MCU [47]. Nevertheless, the existence of microdomains of high calcium near the junction of mitochondria and the site of calcium release (the ER/SR) allows the activation of MCU and calcium uptake to occur. In mice, and due to substantially greater heart rates, cardiac mitochondria are expected to be exposed to even higher calcium levels. We therefore suggest that the selected pulsing concentrations of Ca2+ are physiological and provide relevant insight on cardiomyocytes in vivo.
We have identified that mitochondrial CRC in the heart is significantly higher during sleep as indicated by the delayed opening of the mPTP observed during the sleep period. Mitochondria isolated from hearts during sleep tended to accumulate larger amounts of Ca2+ before mPTP opening by Ca2+ overload. Our current results are consistent with another study showing circadian rhythmicity of gene and protein expressions of L-VGCCs, VGCCα1C (CaV1.2) and VGCCα1D (CaV1.3) in embryonic chick hearts 21. The same study also showed a significantly higher average L-VGCC current density in cardiomyocytes when recordings were performed during the night than during the day. Multiple T-type Ca2+ channels as well as the ryanodine receptor have been shown to be under the control of the circadian clock in mice brains [21], [37]. Circadian rhythmicity of intracellular Ca2+ has been verified within SCN of rodents [16], [17], [18], [19], [20] and Drosophila [48], [49]. Moreover, circadian rhythmicity of Ca2+ release from mitochondria has been identified within SCN astrocytes and shown to be associated with fluctuations in extracellular ATP level [50].
To further investigate the relationship between circadian rhythmicity in mitochondrial Ca2+ dynamics observed in the present study and daily variations in circadian clock genes expressions we followed cardiac expression of the rhythmic clock genes Bmal1 and Per2 at ZG 0 and ZG 4. Our data indicate that cardiac expression of Bmal1 was significantly lower at ZG 0 compared to ZG 4 with an opposite trend in the level of Per2. Noteworthy, opposite temporal trends for both Bmal1 and Per2 genes are well documented not only in the SCN and liver, but also in the mouse heart and skeletal muscles [51]. Within cardiomyocytes, oscillations in circadian clock gene expression have been demonstrated and found to mediate variations in cardiac function and dysfunction over the course of the day. Expression levels of Cry2, Per1, and Per2 peaked at the light-to- dark phase transition, whereas Bmal1 and Npas2 expression levels were significantly lower at the light-to-dark phase transition in the rat heart [52]. We also observed an increase in mitochondrial gene ND1 on light-to-dark phase transition indicating that mitochondrial biogenesis may be altered between ZG 0 to ZG 4. Taken together, our findings suggest a diurnal rhythmicity of mitochondrial Ca2+ dynamics within murine heart which may be associated with oscillations in cardiac expressions of circadian clock genes.
The interplay between mitochondrial Ca2+ uptake, sequestration, and release is pivotal for the multiple physiological functions including bioenergetic elasticity and cell fate in response to stress. Mitochondrial Ca2+ accumulation was repeatedly shown to depend on a complex composed of an inner-membrane channel containing MCU and regulatory subunits including MICU1, MICU2, MCUb, EMRE, and MCU1. An emerging picture is consenting on a dual role for MICU1 [e.g. [53], [54]; reviewed in[55]] and MICU2 [55] in regulating MCU channel depending on level of calcium. At resting cytosolic [Ca2+], which is approximately 0.1 µM, MICU1 is free of Ca2+ and keeps the MCU channel closed. Upon cell stimulation, cytosolic [Ca2+] rises and Ca2+ binds to MICU1, inducing MICU1 conformational changes and eventually MCU activation [56]. As a result, MCU exhibits low activity at resting cytosolic Ca2+ concentrations, but under Ca2+ overload is activated by a regulatory interaction with MICU1 [33].
Mitochondrial Ca2+ uptake behavior for a population of mitochondria within a tissue was elegantly shown to be dictated by the relative abundance of MICU1 and MCU [36]. In the present work, we found that the MICU1:MCU protein ratio decreased significantly on going from wake to sleep. It has been found that lower MICU1:MCU ratio, such as when comparing heart tissue with liver, was associated with lower threshold for calcium uptake, decreased cytosolic calcium, but also decreased cooperativity of uniporter activation. The trend towards lower ratio on the onset of sleep indicate relative abundance of MICU1-free uniporters that maybe compared with MICU1 loss of function or down-regulation/knock-out leading to disease phenotype including muscle weakness and myofiber regeneration [57] or even prenatal mortality [58]. Ironically, MICU1:MCU ratios estimated from mRNA expression levels showed a trend towards higher ratio during sleep. This may reflect the often reported transcription/translation discrepancy and may also reflect a dynamic cellular response to combat the opposite trend.
On the other hand, CypD is the major calcium sensor and essential for opening of the high-conductance channel mPTP [34], [35]. Although MCU gene expression was not dependent on the time, MCU protein level was found to significantly increase at ZG4. Both MICU1 gene and MICU2 protein expressions were significantly higher during sleep relative to wake time, which may explain the faster Ca2+ uptake during this period. Interestingly, quantification of CypD gene, revealed lower levels of expression during sleep relative to wake cycle. Consequently, one may propose that the higher rates of Ca2+uptake observed during sleep period, are a consequence of higher level of expression of MCU while the delay in opening of mPTP and subsequent Ca2+ accumulation in mitochondria may reflect lower levels of expression of CypD genes during sleep. Western blot analysis indicated that the level of NCLX protein is significantly higher at ZG4. Although NCLX is a major calcium efflux channel, its activity was found to be highly sensitive to mild fluctuations in ΔΨm [59].
In cardiomyocytes, the coupling of Ca2+ dynamics with mitochondrial bioenergetics is implicated in myocardial physiology and pathology [60]. Cardiac mitochondria exhibited significantly lower transmembrane potential during sleep period relative to wake period, consistent with earlier studies showing diurnal variations in myocardial oxygen consumption, carbohydrate oxidation and metabolic gene expression in isolated working rat heart, with a peak during the night (active phase) [61], [62]. Circadian clock involvement in regulation of cardiac metabolism has also been previously reported. A study performed by Bray et al. 2008 using cardiomyocyte-specific circadian clock mutant mouse showed attenuation of state 3 mitochondrial respiration in subsarcolemmal mitochondrial fraction of the heart [63]. Bmal1 knockdown in mouse heart down-regulated expression of genes related to electron transport chain (ETC) and the tricarboxylic acid (TCA) cycle, and attenuated complex I activity [11]. This may explain the observed increase in ND1 gene expression in parallel with Bmal1 gene during sleep.
Mitochondrial respiration and ROS generation are interconnected [24], [25], [64]. In the fed state, a decrease in mitochondrial OXPHOS may result in highly reduced ETC components, which are more likely to leak electrons to molecular oxygen [25], [65]. Indeed, our results revealed that the rate of H2O2 production during OXPHOS‐I + II in cardiac mitochondria is significantly higher during sleep relative to wake period. In addition to the rhythmicity of OXPHOS in the diurnal fluctuations in ROS production, circadian clocks have been also suggested to influence mitochondrial ROS production. An increase in superoxide levels has been detected in primary hepatocytes from Bmal1-depleted murine liver [66]. Circadian rhythmicity of superoxide dismutase 2 (SOD2) acetylation and activity, which is responsible for the dismutation of superoxide into H2O2 is hindered in liver of mice with the ClockΔ19 mutation [67].
It is increasingly reported that Ca2+ homeostasis and ROS production are mutually interlinked. ROS can significantly affect Ca2+ homeostasis in the cell and vice versa. Excessive ROS are shown to be harmful and cause Ca2+ overload [68], [69]. We therefore investigated if quercetin could quench ROS production in heart homogenate and block calcium uptake in freshly isolated mitochondria. Although with unclear mechanism, several reports indicated beneficial effects of quercetin in cardiovascular diseases, such as atherosclerosis, ischemia–reperfusion injury, cardiotoxicity, and hypertension, among others [e.g. reviewed in [70]]. In our hands, quercetin didn’t significantly affect mitochondria respiration, but completely abolished hydrogen peroxide signal and mitochondrial calcium uptake. This may point at a remarkable interaction between mitochondrial ROS and calcium uptake. Nevertheless, our current findings confirmed an earlier study showing the effectiveness of quercetin against mitochondrial calcium accumulation, ROS production and opening of mPTP in rodent heart mitochondria in a model of aldosteronism [71]. Quercetin was also shown to exert a cardioprotective effect following hypoxia by suppressing post-hypoxic mitochondrial Ca2+ accumulation in h9c2 cardiomyocytes [38]. Prevention of ROS production and mitochondrial calcium sequestration by quercetin may alleviate the early stress vulnerability of the myocardium. We also compared time-of-the-day dependence of quercetin effect on mitochondrial responses to calcium pulsing. This analysis revealed that quercetin treatment of mitochondria isolated at ZG 4 was less protective against calcium overload for unknown reasons.
In summary, we provide functional and molecular data indicating that during sleep cardiac mitochondria exhibit faster calcium uptake while showing resistance to mPTP opening which may cause the inner respiratory machinery to be exposed to higher calcium levels. This may lead to lower OCR, lower transmembrane potential, and greater ROS production. As a result, we suggest that during sleep, mitochondria are more stressed or prone to fail under cardiac insults. The mechanism proposed here to account for the often-reported time-of-the-day disparity in cardiac vulnerability to stress bears similarity with a mechanism suggested by Gandhi and co-workers to explain dysfunctional PTEN-induced kinase 1 (PINK1)-mediated vulnerability of neurons to cell death. Those authors found impaired Ca2+ efflux from mitochondria through the Na+/Ca2+ exchanger in neurons lacking PINK1, a serine threonine kinase implicated in autosomal recessive early-onset parkinsonism. This was associated with increased Ca2+ uptake capacity, decreased membrane potential, and increased ROS production, all leading to neuronal death [72].
Conclusion
Taken together, we have detected diurnal fluctuations in mitochondrial calcium dynamics as well as mitochondrial bioenergetics and ROS production in murine hearts. Our study provides an evidence of mitochondrial Ca2+ overload during the sleep period. These changes were associated with attenuation in mitochondria-dependent OXPHOS and mitochondrial transmembrane potential, as well as increased ROS generation during sleep. Generally, the pathophysiological features of ischemic events involve accumulation of Ca2+ in the mitochondria, reduction in ATP production due to deficits in mitochondrial bioenergetics and oxidative stress, which are consistent with end of the sleep period. Blockade of this final process; e.g. using quercetin as we demonstrated here in isolated mitochondria, may assist in modulating diurnal risk and prevalence of cardiovascular events and inform therapeutic strategy.
Compliance with ethics requirements
All institutional and national guidelines for the care and use of animals were followed.
Declaration of Competing Interest
The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: HHP has equity as a founder in CavoGene LifeSciences Holdings, LLC. All other authors have declared no conflict of interest.
Acknowledgments
Acknowledgements
This work was supported by a National Research Grant no. 6364 by the Science and Technology Development Fund, Egypt, awarded to SSA. SSA and EAA would like to acknowledge the support provided by Horizon 2020, COST Action CA15203 ‘MitoEAGLE’. This work was supported by grants from the National Institutes of Health (NIH) (HL091071, to H. H. Patel), and the Veterans Affairs (BX001963, to H. H. Patel). The authors thank Dr. Ali Mahmoud and Mr. Mahmoud Aboulsauod for their help in the transportation and maintenance of animals and for some technical help during this study. We are indebted to Dr. Moselhy R. Moselhy and Dr. Essam Abdel-Sattar of Cairo University for providing the pure quercetin used in this study. We also thank Dr. Ahmed A. El-Sifi for some technical help during his training in our laboratory.
Author contributions
EAA conducted metabolic studies, analyzed data and wrote the initial draft of the manuscript. SH conducted the calcium retention capacity study. AGA contributed to metabolic studies. MA, SHS, EEW, JPZ-H, HHP performed gene and protein determinations. BY along with AA and YR, NE and EE contributed to data analysis. NE conducted citrate synthase test. HG and HHP critically read the manuscript and provided advice regarding manuscript configuration. SSA perceived, designed, and supervised all studies in addition to analyzing data, interpreting results, and writing the manuscript in its final form. All authors revised the manuscript and approved its submission in the current form.
Footnotes
Peer review under responsibility of Cairo University.
Supplementary data to this article can be found online at https://doi.org/10.1016/j.jare.2021.01.006.
Appendix A. Supplementary material
The following are the Supplementary data to this article:
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