Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2025 Nov 1.
Published in final edited form as: J Physiol. 2023 Sep 5;602(21):5685–5698. doi: 10.1113/JP285002

Enhanced mitochondrial buffering prevents Ca2+ overload in naked mole-rat brain

Hang Cheng 1, Guy A Perkins 2, Saeyeon Ju 2, Keunyoung Kim 2, Mark H Ellisman 2,3, Matthew E Pamenter 1,4,*
PMCID: PMC10912373  NIHMSID: NIHMS1926257  PMID: 37668020

Abstract

Deleterious Ca2+ accumulation is central to hypoxic cell death in the brain of most mammals. Conversely, hypoxia-mediated increases in cytosolic Ca2+ are retarded in hypoxia-tolerant naked mole-rat brain. We hypothesized that naked mole-rat brain mitochondria have an enhanced capacity to buffer exogenous Ca2+ and examined Ca2+ handling in naked mole-rat cortical tissue. We report that naked mole-rat brain mitochondria buffer >2-fold more exogenous Ca2+ than mouse brain mitochondria, and that the half-maximal inhibitory concentration (IC50) at which Ca2+ inhibits aerobic oxidative phosphorylation is > 2-fold higher in naked mole-rat brain. The primary driving force of Ca2+ uptake is the mitochondrial membrane potential (Δψm), and the IC50 at which Ca2+ decreases Δψm is ~ 4-fold higher in naked mole-rat than mouse brain. The ability of naked mole-rat brain mitochondria to safely retain large volumes of Ca2+ may be due to ultrastructural differences that support the uptake and physical storage of Ca2+ in mitochondria. Specifically, and relative to mouse brain, naked mole-rat brain mitochondria are larger and have higher crista density and increased physical interactions between adjacent mitochondrial membranes, all of which are associated with improved energetic homeostasis and Ca2+ management. We propose that excessive Ca2+ influx into naked mole-rat brain is buffered by physical storage in large mitochondria, which would reduce deleterious Ca2+ overload and may thus contribute to the hypoxia and ischemia-tolerance of naked mole-rat brain.

Graphical Abstract

graphic file with name nihms-1926257-f0006.jpg

Introduction

Cellular Ca2+ is a key regulator of mitochondrial bioenergetics and cellular signalling. For example, Ca2+ accumulation in the mitochondrial matrix both stimulates aerobic metabolism (oxidative phosphorylation: OXPHOS; through the modulation of tricarboxylic acid (TCA) cycle and other enzymes; Griffiths & Rutter, 2009; Gellerich et al., 2010), and activates and/or amplifies numerous cellular cascades that impact mitochondrial function and fate (Polster & Fiskum, 2004; Pandya et al., 2013; Pamenter, 2014; Raffaello et al., 2016). Thus, tight regulation of mitochondrial and cytosolic Ca2+ concentrations ([Ca2+]m and [Ca2+]c, respectively) is important for maintaining neuronal homeostasis. In addition to being highly sensitive to Ca2+, mitochondria are also natural sponges of cytosolic Ca2+, which is rapidly pumped into the matrix by the mitochondrial calcium uniporter (MCU) complex, driven by the large negative mitochondrial membrane potential (−150 to −180 mV with regard to the extracellular milieu) (Finkel et al., 2015). However, during periods of low oxygen stress (e.g., hypoxia or ischemia), neuronal [Ca2+]c becomes deleteriously elevated in the brain of hypoxia-intolerant mammals, and this Ca2+ overload is central to hypoxic/ischemic brain cell death.

Briefly, a rapid and large elevation (from 10−7 to 10−4 mole) of neuronal [Ca2+]c occurs within ~ 8 min of hypoxia or ischemia onset (Silver & Erecinska, 1990). Most of this Ca2+ is sequestered by mitochondria in the form of calcium phosphate (Shen & Jennings, 1972; Kristian & Siesjo, 1998), but mitochondria quickly become overloaded, which leads to mitochondrial membrane depolarization, activation of the mitochondrial permeability transition pore (mPTP), and ultimately the catastrophic release of mitochondrial Ca2+ and other molecules from mitochondria, including cytochrome c, apoptosis-inducing factor, and serine protease HTRA2 (Htra2/Omi), which promote caspase-dependent and caspase-independent cell death pathways (Polster & Fiskum, 2004; Kroemer et al., 2007). Conversely, cytosolic Ca2+ overload is delayed or even prevented in the brain of hypoxia-tolerant species, such as naked mole-rats (NMRs; Heterocephalus glaber). Indeed, NMR brain tolerates acute and chronic in vivo hypoxia and in vitro ischemia (Nathaniel et al., 2009; Pamenter et al., 2018), such that mitochondrial membrane integrity is preserved and the electron transport system (ETS) remains tightly coupled (Pamenter et al., 2018; Cheng & Pamenter, 2021). This is partially due to blunted Ca2+ uptake by NMR neurons: hypoxia-mediated Ca2+ uptake is considerably slower and lower in magnitude in NMR brain than mouse (Peterson et al., 2012). However, mechanisms of mitochondrial Ca2+ handling that underlie this key difference have not been specifically evaluated in NMR brain.

We hypothesized that, relative to mouse brain, 1) NMR brain mitochondria have enhanced capacity to buffer otherwise deleterious [Ca2+]c changes, and 2) this enhanced capacity both raises the [Ca2+]m threshold for mPTP opening and preserves OXPHOS capacity and mitochondrial membrane potential (Δψm). To test this, we evaluated the ability of NMR and mouse brain mitochondria to take up and retain Ca2+, and the impact of exogenous Ca2+ addition on mitochondrial OXPHOS capacity and Δψm following in vitro Ca2+ titration. Furthermore, we recently observed enhanced mitochondrial connectivity and crista density in NMR brown fat tissue (Cheng et al., 2021), which has also been observed in hypoxia-tolerant ground squirrel brain (Popov et al., 2005), but not in hypoxia-intolerant rodent brain (Picard et al., 2015). Greater mitochondrial connectivity and crista density enhance mitochondrial bioenergetics and improve mitochondrial Ca2+ buffering capacity (Perkins et al., 2010). Moreover, mitochondrial Ca2+ management is tightly connected to mitochondrial dynamics in multiple tissues (Kazak et al., 2017; Guan et al., 2019). Therefore, the ultrastructure of may underlie improved mitochondrial Ca2+ management in NMR brain.

Materials and Methodology

Ethics approval.

NMRs (adult subordinates of mixed sex, 1–3 years-old) were group-housed in interconnected multi-cage systems at 30°C and 21% O2 in 50% humidity with a 12L:12D light cycle. Animals were fed fresh tubers, vegetables, and fruit, and Pronutro cereal supplement ad libitum. 12–14-week-old female mice were obtained from Charles River and were housed at room temperature under a 12L:12D light cycle and fed rodent chow ad libitum. Animals were not provided with food during the experimental treatment periods and were not fasted prior to experimentation. All experimental procedures were approved by the University of Ottawa Animal Care Committee (protocol #2535) in accordance with the Animals for Research Act and the relevant guidelines of the Canadian Council on Animal Care.

Calcium uptake assay.

Animals were killed by acute cervical dislocation followed by immediate decapitation. Brains were rapidly dissected on ice. Ca2+ uptake by permeabilized cortical tissue was measured with the Ca2+ sensitive Calcium green 5-N fluorescent dye using the Oroboros O2k-Fluo module (Oroboros Instruments, Innsbruck, Austria) modified from (Spinazzi et al., 2019) at physiological temperatures (mice: 37°C; NMRs: 32°C). To minimize Ca2+ contamination, all solutions were made using deionized water, and glass syringes and the Oroboros chambers were soaked in 6 M HCl overnight and then rinsed repeatedly using deionized water before experiments. Ca2+ titration was measured in an EGTA free medium (in mM: KCl 120, HEPES 20, KH2PO4 20, MgCl2 2.5, NaCl 5, and BSA 0.03; pH 7.2) containing 1 mg/ml brain tissue (100 mg wet weight/ml homogenized in ice-cold Tris solution (in mM: KCl 105, Tris-HCl 50, pH 7.1)), with 50 μg/ml saponin 1 μM Calcium green 5-N, and substrates combinations including 10 mM glutamate, 5 mM malate, 1 mM ADP, 1 mM ATP, 1 μM Ru360, and carbonyl cyanide 3-chlorophenylhydrazone (CCCP: 1 μM for mice and 1.5 μM for NMRs). Following 5–10 mins equilibration, permeabilized brain tissue (2 mg/ml) was exposed to Ca2+ titrations (one 50 μM Ca2+ injection and then five minutes later a series of 20 μM Ca2+ injections at two min intervals). Decreases in fluorescence represented mitochondrial Ca2+ uptake and Ca2+ release was detected as a fluorescence increase. The end point of each experiment was the point at which fluorescence increased, indicating release of Ca2+ from mitochondria. The total amount of titrated Ca2+ in the cumulative steps preceding the end point was then used to determine the maximal Ca2+ resistance capacity. A final bolus of Ca2+ was given after the end point to confirm that no further Ca2+ uptake occurred. Ca2+ uptake rates (indicated in this study as the decay rate (Koff)) were calculated for the first five min of decreasing fluorescence using the “one phase decay-equation” in GraphPad Prism 9 (GraphPad Prism, La Jolla, CA, USA). Individual experiments were performed for each different substrate combination.

High resolution respirometry.

The impact of Ca2+ titrations on mitochondrial respiration was measured using an Oroboros O2k high-resolution respirometer at physiological temperatures in an EGTA free medium (in mM: D-sucrose 110, lactobionic acid 60, taurine 20, KH2PO4 10, MgCl2 2, HEPES 20, and BSA 0.015; pH 7.2), containing 1 mg/ml brain tissue (100 mg wet weight/ml homogenized in ice-cold Tris solution), with 10 mM glutamate, 5 mM malate, 50 μg/ml saponin, and titrations of CaCl2 (0, 0.2, 10, 20, 50, 100, and 150 μM in separate experiments). Tissues were incubated for ~10 min in the Oroboros chamber and then 1 mM ADP, 10 μM cytochrome c, 10 mM succinate, and CCCP (in 0.5 μM steps until reaching the maximal response) were added sequentially. O2 consumption rates (i.e., the O2 slope in Oroboros) were analyzed by selecting the mean rate during the first two mins following each substrate injection.

Mitochondrial membrane potential.

The impact of Ca2+ titrations on mitochondrial membrane potential was measured using an Oroboros O2k fluo module at physiological temperatures in an EGTA free medium (in mM: KCl 120, HEPES 20, KH2PO4 20, MgCl2 2.5, NaCl 5, and BSA 0.03; pH 7.2). 1 mg/ml brain tissue (100 mg wet weight/ml homogenized in ice-cold Tris solution (in mM: KCl 105, Tris-HCl 50, pH 7.1), with 50 μg/ml saponin, and 2 μM Rhodamine 123) was incubated for ~ 10 min in the Oroboros chamber, and then 10 mM glutamate, 5 mM malate, and serial titrations of CaCl2 (5, 5, 10, 30, 50, and 50 μM consecutively, alternatively expressed as 0, 5, 10, 20, 50, 100 and 150 μM, respectively) and CCCP (in 0.5 μM steps until reaching the maximal response) was added sequentially.

Transmission electron microscopy (TEM).

Following treatment, mice or NMRs were perfusion fixed first with a Ringer’s solution at 37°C followed by primary fixative consisting of 2% paraformaldehyde + 2.5% glutaraldehyde in 0.15 M sodium cacodylate buffer (pH 7.4) also at 37°C. The brain was rapidly removed from the skull and placed in ice-cold primary fixative for 1 h. Using a Leica vibratome with a trough containing ice-cold 0.15 M cacodylate buffer, brain was sliced into 100 micron-thick coronal slices and those containing the hippocampus were collected. The slices were rinsed in 0.15 M cacodylate buffer and incubated in a mixture of 1% OsO4, 0.8% potassium ferrocyanide, 3 μM calcium chloride in sodium cacodylate buffer for 1 h on ice. Then, the slices were washed 3×3 min with ice-cold double-distilled water (ddH2O) and stained with 2% uranyl acetate for 1 h on ice. The slices were next incubated in increasing ethanol solutions: 20%, 50%, 70%, 90% on ice, followed by 3 × 100% at RT, each for 10 min. Subsequently, the slices were infiltrated with a mixture of 50% dry acetone and 50% Durcupan ACM resin (Fluka) for 2 h with agitation, and then incubated 3×12 h in 100% Durcupan with agitation. Durcupan ACM resin was made by mixing 11.4 g component A, 10 g component B, 0.3 g component C and 0.1 g component D. The slices were sandwiched between 2 Mould-release slides and polymerized for 48 h at 60°C in an oven. The glass slides were removed, and a hacksaw was used to cut out a block about 2 mm across and glued on a dummy block. Thin sections about 70 nm thick were cut using a Leica UCT ultramicrotome. The sections were placed on 200-mesh uncoated thin-bar copper grids. A Tecnai Spirit (FEI; Hillsboro, OR) electron microscope operated at 80 kV was used to record images with a Gatan 2Kx2K CCD camera at 2.9 nm/pixel.

For quantitative analysis, the mitochondrial profile area was measured with ImageJ (NIH). The number of mitochondria per unit cytoplasmic area was calculated by counting the number of mitochondria in an image and dividing by the profile area of the cytoplasm measured using ImageJ. The mitochondrial volume fraction, defined as the volume occupied by mitochondria divided by the volume occupied by the cytoplasm, and the crista density, defined as the cristae surface area per mitochondrial volume, were estimated using stereology with the “grid” plug-in of ImageJ.

EM Tomography.

Semi-thick sections of ~ 350 nm thickness were cut from the blocks of tissues prepared for TEM with a Leica ultramicrotome and placed on 200-mesh uncoated thin-bar copper grids. 20-nm colloidal gold particles were deposited on each side of the grid to serve as fiducial cues. A grid was placed in a Tecnai HiBase Titan (FEI; Hillsboro, OR) electron microscope operated at 300 kV. The grid was irradiated with electrons for about 20 min to limit anisotropic specimen thinning during image collection at the magnification used to collect the tilt series before initiating a dual-axis tilt series. During data collection, the illumination was held to near parallel beam conditions and the beam intensity was kept constant. Tilt series were captured using SerialEM software (University of Colorado, Boulder, CO) at 0.81 nm/pixel. Images were recorded with a Gatan 4Kx4K CCD camera. Each dual-axis tilt series consisted of first collecting 121 images taken at 1-degree increments over a range of −60 to +60 degrees followed by rotating the grid 90 degrees and collecting another 121 images with the same tilt increment. After collecting the orthogonal tilt series, to improve the signal-to-noise ratio, 2x binning was performed on each image by averaging a 2×2 x-y pixel box into 1 pixel using the newstack command in IMOD (University of Colorado, Boulder, CO). The IMOD package (https://en.wikipedia.org/wiki/IMOD_(software))) was used for tilt-series alignment, reconstruction, and volume segmentation. R-weighted back projection was used to generate the reconstructions. Volume segmentation of mitochondrial membranes was performed using IMOD by tracing in each of the 1.62 nm-thick x-y planes in which the object appeared, then creating stacks of contours with the Drawing Tools plug-in in IMOD. The traced contours were then surface-rendered by turning contours into meshes to generate a 3D model. The surface-rendered volumes were visualized using 3DMOD. Lengths, surface areas, and volumes were extracted using the program imodinfo. The number of crista junctions per mitochondrial slice was measured by simply counting the number of crista junctions per mitochondrion observed in a 1.6-nm thick central slice through an EM tomography volume. Because NMR brain mitochondria were larger than mouse brain mitochondria, to normalize the crista junction parameter, we divided the number of crista junctions by the mitochondrial outer membrane length (ImageJ), because the junctions are next to the outer membrane. This normalization removed the mitochondrial size variability between NMR and mouse.

Statistical analysis.

Significant differences between groups were determined using one- or two-way ANOVAs followed by a Dunnett, Tukey, or Sidak multiple comparisons test, as appropriate, or unpaired two-tailed t-tests. Values are reported as mean ± SD. All statistical analyses were performed using GraphPad Prism 9 (GraphPad Prism, La Jolla, CA, USA), with a significance level of p < 0.05.

Results

NMR brain mitochondria have higher Ca2+ affinity and retention capacity.

To compare the uptake rate and retention capacity of Ca2+ by brain mitochondria from NMRs and mice, boluses of CaCl2 were added in serial titrations to equal amounts of permeabilized brain tissue from each species (Fig. 1A). Mitochondrial Ca2+ uptake was monitored by measuring the decrease of Ca2+ in the solution using a light-excitable Ca2+ indicator, Calcium green-5N (Rajdev & Reynolds, 1993), such that each Ca2+ bolus was observed as an increase in Calcium green-5N fluorescence in the solution due to Ca2+-binding. Boluses of Ca2+ were added until Calcium green-5N fluorescence increased, indicating activation of the MPTP and release of mitochondrial Ca2+, which is a hallmark of Ca2+ overload in hypoxic brain. Ru360, a specific antagonist of the mitochondrial calcium uniporter (MCU) that does not impact endoplasmic reticulum Ca2+ uptake or release (Matlib et al., 1998; Baughman et al., 2011), entirely prevented the influx of Ca2+ (Fig. 1AC), which confirmed that mitochondria were the main source of intracellular Ca2+ uptake in both species and in the subsequent overload of Ca2+ that triggered the release of mitochondrial matrix Ca2+. Note, ATP did not have any significant effect on Ca2+ uptake in NMR brain but caused a small release of Ca2+ in mouse brain (Figs. 1B&C, S1).

Figure 1. Ca2+ uptake by permeabilized cortical brain tissues.

Figure 1.

(A) Fluorescent sensorgram of Ca2+ uptake by permeabilized cortical brain tissues from mice (pink traces), NMRs (purple traces), and Ru360-treated tissue either in mouse or NMRs (black traces). Black arrows indicate one 50 μM Ca2+ injection followed by multiple 20 μM Ca2+ injections in Ru360-untreated tissue. The “End point” was determined as the last dose that did not trigger an increase in the Ca2+ signal. Inset: magnified image of the end point period for both species. Colour-matched dashed lines are included to demonstrate the increasing data signal after the “end-point” bolus addition. Increasing fluorescence indicates a net Ca2+ release by mitochondria. (B&C) Fluorescent traces following 50 μM Ca2+ addition (100% normalized) of permeabilized cortical brain tissues from mice (B) and NMRs (C). Substrates are GMD+Ru360 (black traces), GMD+CCCP+Ru360 (purple traces), ATP (red traces), GM (green traces), GMD+CCCP (orange traces), and GMD (blue traces). (D) Koff of Ca2+-binding Calcium green-5N is proportional to the [Ca2+] that remains in the external solution calculated from (B&C). Data are presented as mean ± SD from n = 4 independent biological replicates. Significant differences were determined using two-way ANOVAs followed by a Dunnett multiple comparisons test (* vs. GMD+Ru360; GMD, p = 0.0002; GMD+CCCP, p = 0.0475, in mice; GM, p = 0.0001; GMD, p < 0.0001; GMD+CCCP, p < 0.0001, in NMRs), or multiple unpaired t-tests with False Discovery Rate ( mice vs. NMRs; GM, p = 0.0008; GMD, p = 0.0032; GMD+CCCP, p = 0.0004;). Abbreviations: G, glutamate; M, malate; D, ADP; CCCP, carbonyl cyanide m-chlorophenyl hydrazine; Koff, Ca2+-binding Calcium green 5-N decay rate.

We observed that permeabilized NMR brain tissue has a faster rate of Ca2+ uptake than mouse brain during the first five min following the initial bolus of 50 μM Ca2+, with ADP (> 2-fold), without ADP (~ 10-fold), or following uncoupling of the mitochondrial proton gradient with carbonyl cyanide 3-chlorophenylhydrazone (CCCP; > 3-fold; Fig. 1B&C, F1,28 = 102.8, p < 0.0001; Fig. 1D). ADP significantly increased the rate of Ca2+ uptake in both NMR and mouse brain (Fig. 1BD). CCCP abolished the ability of mouse brain to take up Ca2+ within five min (Fig. 1B), but only slightly inhibited the rate of Ca2+ uptake (Fig. 1C&D) and Ca2+ retention capacity (Table 1) in NMR brain. Taken together, these data demonstrate that NMR brain mitochondria have a higher affinity and retention capacity for Ca2+ than mouse brain (Table 1).

Table 1.

Ca2+ resistance of permeabilized brain tissue.

Substrates Max Ca2+ resistance (μM/mg/ml wet tissue)
NMRs Mice
GM 210 110
GMD 210 110
GMD+CCCP 150 < 50
GMD+RU360 no observed Ca2+ uptake
GMD+CCCP+Ru360

Values were determined as the amount of CaCl2 given before triggering Ca2+ release. Data are presented as means, from n = 4 independent biological replicates. Abbreviations: G, glutamate; M, malate; D, ADP; CCCP, carbonyl cyanide m-chlorophenyl hydrazine.

OXPHOS is more strongly inhibited by extramitochondrial Ca2+ in mouse brain than NMR brain.

To assess the effects of exogenous Ca2+ on mitochondrial OXPHOS capacity, we next exposed permeabilized brain tissues to step-wise increases in Ca2+ concentration and then measured glutamate/malate-stimulated mitochondrial oxygen consumption. We report that Ca2+ generally reduces OXPHOS capacity in a dose-dependent manner in both NMR and mouse brain (Fig. 2B; F6,105 = 145.1, p < 0.0001; Fig. 2A & F6,105 = 171.4 p <0.0001). Additionally, significant increases of leak respiration were triggered at > 50 μM Ca2+ in NMR brain (from 6.15 ± 0.28 to 21.39 ± 2.17, p = 0.0006 to 20.14 ± 3.39, p = 0.0017) but not in mouse brain. Finally, respiratory control ratios (RCRs), calculated as the ratio of OXPHOS capacity/leak respiration, were reduced by exogenous Ca2+ in a dose-dependent fashion in both species (Fig. 2C; F1,42 = 574.0, p < 0.0001), but this effect was delayed and reduced in NMR brain, indicating better retention of respiratory capacity with greater Ca2+ challenges.

Figure 2. Ca2+ effects mitochondrial bioenergetics of permeabilized cortical brain tissues.

Figure 2.

(A&B) Oxygen consumption by permeabilized cortical brain tissues exposed to incremental increases in external Ca2+ from mice (A) and NMRs (B). Substrates were added sequentially in the order indicated on the x-axis. (C) Respiration control ratios (RCRs) of permeabilized cortical brain tissue. (D) Oxygen consumption in the GM-fueled OXPHOS state of permeabilized cortical brain tissue normalized to 0 μM Ca2+. (E) IC50 of Ca2+ for inhibiting OXPHOS. (F) Effect of cytochrome c on mitochondrial respiration. (G) Phosphorylation system control ratio of complexes I-II (1-P/E %). Data are presented as mean ± SD from n = 4 independent biological replicates. Significant differences were determined using two-way ANOVAs followed by a Dunnett (* vs. 0 μM Ca2+, (A) 0.2 μM, D, p = 0.0326; Cytc, p = 0.0394; 10 μM D, p = 0.0003; Cytc, p = 0.0015; S, p = 0.0001; CCCP, p = 0.0002; 20 to 150 μM, D, p < 0.0001; Cytc, p <0.0001; S, p < 0.0001; CCCP, p < 0.0001, in mice; (B) 0.2 μM, D, p = 0.0267; S, p = 0.0271; CCCP, p = 0.0298; 50 μM, D, p < 0.0001; Cytc, p < 0.0001; S, p = 0.0002; CCCP, p = 0.0016; 100 & 150 μM, D, p < 0.0001; Cytc, p <0.0001; S, p < 0.0001; CCCP, p < 0.0001, in NMRs; (C) 10 μM, p = 0.0002; 20 to 150 μM, p < 0.0001, in mice; 10 to 150 μM, p < 0.0001, in NMRs; vs. 0 μM Ca2+; (E) 50 to 150 μM, p < 0.0001, in mice; 100 μM, p = 0.0075; 150 μM, p = 0.0013, in NMRs; vs. 0 μM Ca2+; (G) 50 μM, p = 0.0150;150 μM, p = 0.0014, in NMRs), or two-way ANOVAs followed by a Sidak (, mice vs. NMRs, (C) 0 to 20 μM Ca2+, p < 0.0001; 50 μM Ca2+, p = 0.0475; (D) 0.2 μM Ca2+, p = 0.0002; 10 μM Ca2+, p = 0.0015; 20 μM Ca2+, p = 0.0004; 50 μM Ca2+, p = 0.0037; (F) 20 μM Ca2+, p = 0.0471; 50 μM Ca2+, p < 0.0001; 100 μM Ca2+, p = 0.0029; 150 μM Ca2+, p = 0.0120; (G) 0 μM Ca2+, p < 0.0001; 0.2 μM Ca2+, p = 0.0006; 10 to 50 μM Ca2+, p < 0.0001), or unpaired t-test with two-tailed calculations (for E). Abbreviations: G, glutamate; M, malate; D, Cytc, Cytochrome C; ADP; S, succinate; CCCP, carbonyl cyanide m-chlorophenyl hydrazine.

Importantly, the inhibitory effects of Ca2+ on OXPHOS were greater in mouse brain than NMR brain. Specifically, OXPHOS capacity was significantly inhibited in all Ca2+ concentrations in mouse brain but NMR brain was not impacted by [Ca2+] < 50 μM (Fig. 2A&B). Moreover, the relative reductions of OXPHOS capacity (values normalized to 100% at 0 μM Ca2+) in mouse brain were significantly higher than in NMR brain (Fig. 2D; F1,42 = 98.30, p < 0.0001). Correspondingly, we calculated the half-maximal inhibitory concentration (IC50, μM) at which Ca2+ inhibits OXPHOS capacity, which was 34.13 ± 4.61 in mouse brain versus 81.65 ± 6.73 in NMR brain (Fig. 2E; p = 0.286).

The effect of Ca2+ on mitochondrial membrane permeability and the phosphorylation system control ratio was evaluated by the cytochrome c membrane integrity test and the ratio of OXPHOS to ETS capacity (1-P/E %), separately. The effect of cytochrome c became significant at a lower [Ca2+] in mouse brain (50 μM) than in NMR brain (100 μM), and overall values were higher in mouse brain than NMR brain (Fig. 2F; F1, 6 = 75.11, p = 0.0001). Interestingly, NMR brain was elastic with regard to its Ca2+-induced phosphorylation system control ratio, which increased with addition of Ca2+ until 50 μM (from 11.20 ± 2.73 to 17.44 ± 1.78%, p = 0.015), and then decreased at 100 μM and 150 μM Ca2+ (Fig. 2G; 7.33 ± 0.68, p = 0.2296 and 3.30 ± 0.71%, p = 0.0014). On the other hand, mouse brain did not exhibit any significant change these parameters in any [Ca2+], and the values were generally lower than in NMR brain (F1, 42 = 160.1, p < 0.0001), except with 150 μM Ca2+ (Fig. 2G; mice at 1.44 ± 0.31 vs NMRs at 3.30 ± 0.71, p = 0.9538).

Mitochondrial membrane potential is hyperpolarized in NMR brain and drives Ca2+ buffering.

The proton gradient generated across the inner mitochondrial membrane (i.e., Δψm), was measured in permeabilized NMR and mouse brain tissue using fluorescence quenching of Rhodamine-123 (Rh-123) (Emaus et al., 1986). The impact of Ca2+ on Δψm was assessed by serial additions of CaCl2 (Fig. 3A). Glutamate/malate generated a greater signal in NMR brain than mouse brain without CaCl2 (mice at 0.72 ± 0.06 vs NMRs at 1.08 ± 0.05; Fig. 3B; p < 0.0001), indicating a more hyperpolarized Δψm in the former (see below). Serial Ca2+ titrations reduced Δψm in both NMR and mouse brain, but a greater change was observed in NMR brain than mouse at each Ca2+ concentration (Fig. 3B). To compare the extent of this Ca2+-mediated depolarization in NMR vs. mouse brain mitochondria, we normalized the Rh-123 signal to 100% at 0 μM Ca2+ (Fig. 3C). In this analysis, we calculated that a greater proportion of Δψm was retained in NMR than mouse brain following each Ca2+ addition (Fig. 3C). Additionally, we calculated the half-maximal inhibitory concentration (IC50, μM) of Ca2+ on Δψm, which was 8.25 ± 0.20 in mouse brain versus 36.11 ± 0.38 in NMR brain (Fig. 3D; p = 0.028).

Figure 3. Ca2+ effects mitochondrial membrane potential (Δψm) of permeabilized cortical brain tissues.

Figure 3.

(A) Sensorgram of Rhodamine 123 (Rh-123) fluorescence during Ca2+ titration of permeabilized cortical brain tissues. (B) Dose-dependent Ca2+ effects on Δψm. (C) Dose-dependent Ca2+ effects on Δψm normalized to 0 μM Ca2+. (D) IC50 of Ca2+ for decreasing Δψm. Data are presented as mean ± SD from n = 4 independent biological replicates. Significant differences were determined using unpaired t-test with two-tailed calculations (p = 0.0286 mice vs. NMRs).

NMR brain mitochondria are larger, occupy more of the cytoplasmic volume, and have increased crista density relative to mouse brain.

Mitochondrial structure is associated with Ca2+ sequestration capacity (Hoitzing et al., 2015; Favaro et al., 2019); therefore, we compared the ultrastructure of NMR and mouse brain mitochondria using TEM and EM tomography. NMR mitochondria were distinct from mouse mitochondria in the neuronal somas in several structural parameters (Fig. 4). Generally, NMR brain mitochondria were larger (F1, 196 = 51.68, p < 0.0001; 0.35 ± 0.03 vs. 0.22 ± 0.02 μm2, p = 0.0180, Fig. 4AE), and also had more densely packed cristae (Fig. 4H; F1, 76 = 18.85, p < 0.0001; 13.00 ± 1.30 vs. 8.70 ± 1.40 μm2/μm3, p = 0.0246,), and more crista junctions per mitochondrion (Fig. 4I&J; 9.00 ± 0.69 vs. 2.47 ± 1.19 per mitochondrion, p < 0.0005,). There was no significant difference in the number of mitochondria per unit cytoplasmic area (F1, 36 = 0.4754, p < 0.4949; Fig. 4F); however, the mitochondrial volume fraction (also called volume density) was larger in NMR brain than mouse brain (Fig. 4G; F1, 36 = 9.972, p < 0.0.0032; 17.00 ± 3.40 vs. 9.90 ± 1.20 %, p = 0.0239). Tethering and zippering of adjacent mitochondria were commonly observed in NMR brain but not in mouse brain (Fig. 4AD). Interestingly, mouse cristae were more often networked, and sometimes highly so.

Figure 4. Naked mole-rat (NMR) mitochondria are larger, occupy more of the cytoplasmic volume and have greater crista density than mouse mitochondria in neuronal somas.

Figure 4.

(A) Low-magnification TEM images showing parts of 2 NMR neuronal cell somas. The nuclei are marked with an “N”. (B) Low-magnification TEM of a mouse neuronal cell soma in the hippocampus with smaller mitochondria. (C) A central slice through an EM tomography volume of NMR hippocampal neuronal soma showing large mitochondria in close proximity. Tethering that connects adjacent mitochondria is observable in NMRs (inset), but less so in mouse. Inside the inset red box are three clear tethers. More common in NMR are “zippered” mitochondria, with outer membranes so close together that there does not appear to be any space between them, hence the zippered look (three red boxes). However, no intermembrane junctions with cristae aligned across adjacent mitochondria were observed. (D) In contrast, EM tomography of mouse hippocampal neuronal soma showed mostly elongated, less densely packed mitochondria. Crista density was also lower in mouse and, in contrast to NMR cristae, mouse cristae were often highly networked. (E-J) Summaries of (E) mitochondrial profile area (size) measured from TEM images. Mouse mitochondria were significantly smaller than NMR mitochondria (n = 50 mitochondria from 2 animals), (F) number of mitochondria per cytoplasmic area (n = 10 TEM images from 2 animals), (G) mitochondrial volume fraction (n = 10 TEM images from 2 animals), (H) crista density (cristae surface area per mitochondrial volume (n = 20 mitochondria from 2 animals), (I) number of crista junctions per mitochondria, and (J) number of crista junctions per mitochondrial outer membrane length (n = 20 mitochondria from 2 animals). Data are presented as means ± SD. Significant differences (p <0.05) were determined using a two-way ANOVA with Tukey multiple comparisons test; p values shown above the bars.

Discussion

Mitochondria are primary regulators of cellular bioenergetics and are a hub for multiple aspects of cellular signalling, including by one of the predominant cellular messengers: Ca2+ (Szabadkai & Duchen, 2008; Giorgi et al., 2018; Anderson et al., 2019). However, Ca2+ signalling is a double-edged sword as Ca2+ overload induces neuronal cell death in hypoxia and ischemia. In the present study we explore Ca2+ handling in a hypoxia-tolerant mammal brain and reveal novel adaptations at the mitochondrial level that contribute to the tolerance of NMR brain to Ca2+ stress. Specifically, we report that increasing external Ca2+ induces mPTP opening and the release of mitochondrial matrix Ca2+ in both NMR and mouse brain. However, NMR brain mitochondria can take up and retain more Ca2+, and better preserves bioenergetic and ETS function following in vitro Ca2+ challenges. These capabilities are likely mediated by ultrastructural differences between these species that precondition NMR brain mitochondria to better tolerate severe Ca2+ challenges and avoid the activation of downstream cell death pathways by physically storing Ca2+ in larger organelles. The mechanisms reported in this study may explain the slower accumulation of cytosolic Ca2+ in hypoxic NMR brain in vitro (Peterson et al., 2012), and likely contribute to hypoxia/ischemia tolerance in NMR brain in vitro and in vivo (Nathaniel et al., 2009; Pamenter et al., 2018; Cheng & Pamenter, 2021).

Mitochondrial uptake is the primary mediator of Ca2+-buffering in NMR brain.

Mitochondria play major roles both as regulators of [Ca2+]c and mediators of cellular Ca2+ signalling (Giorgi et al., 2018). Mitochondria can accumulate large amounts of Ca2+, and thereby play an essential role in maintaining cellular Ca2+ homeostasis, particularly when extracellular Ca2+ influx into the cytosolic space is increased during acute hypoxia or ischemia (Shen & Jennings, 1972). In normal conditions, the rapid mode of uptake (RaM), mitochondrial ryanodine receptor (mRyR), and MCU work in concert to mediate mitochondrial Ca2+ uptake, with the MCU being the primary conduit of Ca2+ uptake when RaM and mRyR are inhibited (which occurs when [Ca2+]c is > 40 μM) (Ryu et al., 2010). Consistent with a primarily role for the MCU in mitochondrial buffering, we report a near complete inhibition of Ca2+ uptake with the MCU-antagonist Ru360 in both NMR and mouse brain (Fig. 1AD). We also demonstrate that mPTP opening (as indicated by increasing Ca2+ signal after end points), which is necessary for the initiation of Ca2+-mediated cell death in hypoxia/ischemic brain (Kroemer et al., 2007), is triggered at a higher [Ca2+]c in NMR brain mitochondria than mouse (210 vs. 110 μM, Fig. 1A, Table 1).

In addition to having a greater capacity for Ca2+, NMR brain mitochondria take up Ca2+ at a higher rate than mouse (Fig. 1BD). The rate of mitochondrial Ca2+ uptake depends on multiple factors, including the energetic state of mitochondria, Δψm, and external Ca2+ concentration (Gunter & Pfeiffer, 1990). We have previously reported that NMR brain maintains [ATP] in acute in vivo hypoxia (7%, 4 h; Pamenter et al., 2019), and this likely supports rapid uptake of higher volumes of Ca2+ (Fig. 1BD, Table 1). Indeed, glutamate/malate-induced OXPHOS capacity is similar between NMR and mouse brain per tissue weight (Fig. 2A&B), but NMRs have a more tightly coupled ETS (Pamenter et al., 2018), which should result in higher O2/ATP coupled respiration rates. In addition, the more hyperpolarized Δψm of NMR brain also contributes to faster Ca2+ uptake, as we report stronger glutamate/malate induced Rh-123 quenching in NMR brain than mouse (Fig. 3B). Note that there is a linear correlation between fluorescence quenching of Rh-123 and Δψm (Emaus et al., 1986). Finally, NMR brain mitochondria have a greater volume than mouse (Fig. 4, and see below), which should physically support a higher Δψm, and provide more space in which to sequester Ca2+ (Gunter & Pfeiffer, 1990).

Intriguingly, the decay rate (Koff, Fig. 1D) indicates that ATP-dependent Ca2+ uptake is the major mechanism of Ca2+ uptake in mouse brain mitochondria; however, both ATP- and Δψm-dependent mechanisms contribute to Ca2+ uptake in NMR brain mitochondria. Taken together, these results indicate that NMR brain mitochondria have higher sensitivity to changes in [Ca2+], and greater capacity for Ca2+ buffering, and are also able to maintain Ca2+ buffering under ATP-limited situations, such as occurs in hypoxia/ischemia.

Enhanced mitochondrial Ca2+ buffering supports mitochondrial bioenergetics in NMR brain.

Ca2+ uptake by mitochondria plays an important role in regulating mitochondrial energetics (Szabadkai & Duchen, 2008; Giorgi et al., 2018; Anderson et al., 2019). Conversely, excessive mitochondrial Ca2+ accumulation leads to mitochondrial depolarization, mPTP opening, and release of cytochrome c due to outer mitochondrial membrane damage (Polster & Fiskum, 2004; Pandya et al., 2013; Raffaello et al., 2016). We report that exogenous Ca2+ addition triggers dose-dependent mitochondrial respiratory dysfunction in both NMR and mouse (Fig. 2A&B), in line with previous studies using isolated mouse brain mitochondria (Pandya et al., 2013; Hamilton et al., 2018). However, consistent with our finding that NMR brain mitochondria can take up more Ca2+ before activation of the mPTP (Fig. 1A & Table 1), mitochondrial OXPHOS capacity (Fig. 2CD), outer mitochondrial membrane integrity (Fig. 2F), and Δψm (Fig. 3BD) are all better maintained with the same Ca2+ challenges in NMR brain than mouse. Interestingly, we observed a significant increase in the phosphorylation system control ratio (1-P/E %) in NMR brain mitochondria at 50 μM Ca2+, which then decreased again at 150 μM Ca2+. This might indicate that ~50 μM Ca2+ is a critical value in NMR brain mitochondria for balancing proton (H+) and Ca2+ in the mitochondria matrix, which may relate to the regulation of ion carriers, including the mitochondrial H+/Ca2+ exchanger (Giorgi et al., 2018). The overall lower effect of cytochrome c and relatively steady Δψm demonstrates that an intact mitochondrial membrane system is retained for longer during Ca2+ stress in NMR brain, which would in turn participate in Ca2+ resistance. Similar results have been reported in NMR brain during ischemic stress (Cheng & Pamenter, 2021).

Large and zippered mitochondria, higher crista density, and more crista junctions may help NMR brain tolerate high Ca2+ loads.

It is well established that biological structures determine cellular function (Shenouda et al., 2011; Ramírez et al., 2017), and Ca2+ uptake during hypoxia is linked to mitochondrial matrix swelling in mammal brain (Halestrap et al., 1986; Safiulina et al., 2006; Anastacio et al., 2013). Ca2+ uptake into the mitochondrial matrix causes mitochondrial depolarization and related mitochondrial volume increases in neurons (Safiulina et al., 2006). Consistent with this, Ca2+ uptake discharges glutamate/malate-induced Δψm in both mouse and NMR brain mitochondria (Fig. 3), and more depolarized mitochondria have also been reported in hypoxic NMR brain mitochondria in vitro (Pamenter et al., 2018). Therefore, we speculate that differences of mitochondrial size (Fig. 4I) may be a fundamental contributor to the greater Ca2+ uptake capacity of NMR brain relative to mice (Table 1).

Indeed, more closely packed NMR brain mitochondria (Fig. 4AH), with stronger zippering, provide enhanced physical fundamentals for mitochondrial communication or transfer/exchange of molecules among mitochondria, which may be beneficial, since disconnection of damaged mitochondria limits the cellular impact of local dysfunction (Glancy et al., 2018). For example, crista junctions control Ca2+ uptake through a constituent protein, optic atrophy type 1 (OPA1), and a stabilizing protein, mitochondrial Ca2+uptake 1 (MICU1) (reviewed by Gottschalk et al., 2022). When Ca2+ binds to MICU1, crista junctions can open transiently by unblocking the OPA1 cap positioned over the crista junction opening. The increased number of MICU1-regulated crista junctions in NMR brain mitochondria may help to explain how they are able to take up and retain more Ca2+.

Furthermore, a higher Δψm is observed in healthy and larger mitochondria (Twig et al., 2008), whereas swollen mitochondria have lower Δψm, which is due to Ca2+ overload (Schneider et al., 2019). Consistent with this, we report a relatively higher Δψm (Fig. 3B) and larger size (Fig. 4I) of NMR brain mitochondria than mouse, which suggests that the larger mitochondrial size also contributes to higher Δψm, which in turn induces a higher rate of Ca2+ uptake in NMR brain (Fig. 1D).

Conclusion.

Ca2+ overload is a hallmark initiator of catastrophic cell death during hypoxia in brain. Remarkably, we report that NMR brain mitochondria have robust and sensitive Ca2+ uptake capabilities and resist mitochondrial defects following in vitro Ca2+ challenges. We propose that NMR brain mitochondrial ultrastructure might support this outstanding Ca2+ regulation capacity, and help to maintain energetic balance, Ca2+ homeostasis, and membrane potential. These findings suggest a potential mechanism via which mitochondria may contribute to hypoxia tolerance in NMR brain.

Supplementary Material

Supinfo2
Supinfo1
Supinfo3

Supplimenaty Figure 1. Normalized Ca2+ uptake by permeabilized cortical brain tissues. Fluorescent sensorgram of Ca2+ uptake by permeabilized cortical brain tissues from mice (A & C) and NMRs (B & D) following addition of 50 μM Ca2+ (100% normalized). Substrates are GMD+Ru360 (black traces), GMD+CCCP+Ru360 (purple traces), ATP (red traces), GM (green traces), GMD+CCCP (orange traces), and GMD (blue traces). Data are presented as mean ± SD from n = 4 independent biological replicates.

Key points.

  • Unregulated Ca2+ influx is a hallmark of hypoxic brain death; however, hypoxia-mediated Ca2+ influx into naked mole-rat brain is markedly reduced relative to mice.

  • This is important because naked mole-rat brain is robustly tolerant against in vitro hypoxia, and because Ca2+ is a key driver of hypoxic cell death in brain.

  • We show that in hypoxic naked mole-rat brain, oxidative capacity and mitochondrial membrane integrity are better preserved following exogenous Ca2+ stress.

  • This is due to mitochondrial buffering of exogenous Ca2+ and is driven by a mitochondrial membrane potential-dependant mechanism.

  • The unique ultrastructure of naked mole-rat brain mitochondria may support increased Ca2+ buffering, and thus hypoxia-tolerance, as a large physical storage space.

Acknowledgments:

We would like to thank the uOttawa animal care and veterinary services team for their assistance in animal handling and husbandry. This work was supported by an NSERC Discovery grant to MEP (#04229). Electron microscopy, EM tomography data acquisition, reconstruction, and quantitative analyses of EM data were performed at the National Center for Microscopy and Imaging Research, with support from NIH grants U24 NS120055, 1S10OD021784 and National Science Foundation - NSF2014862-UTA20-000890 (M.H.E.). Deposition and management of acquired raw and derived EM data within the Cell Image Library was further supported by NIH grant R01 GM82949 (M.H.E.).

Abbreviations:

[Ca2+]c

cytosolic Ca2+ concentration

[Ca2+]m

mitochondrial Ca2+ concentration

CCCP

carbonyl cyanide 3-chlorophenylhydrazone

Δψm

mitochondrial membrane potential

ETS

electron transport system

MCU

mitochondrial Ca2+ uniporter

MPTP

mitochondrial permeability transition pore

NMR

naked mole-rat

OXPHOS

oxidative phosphorylation

TEM

transmission electron microscopy

Biography

graphic file with name nihms-1926257-b0001.gif

Following the completion of a MSc in Preventative Veterinary medicine and a successful career in therapeutic antibody development in the Chinese Biotech sector, Cheng Hang recently defended his Ph.D. in Dr. Pamenter’s lab and has begun a postdoctoral fellowship at Yale University. His current research focuses on novel models and mechanisms of cancer therapy.

Footnotes

Competing Interest Statement: We have no competing interests.

Data Availability:

All data will be posted to Dryad upon acceptance and are available to the reviewers upon request.

References

  1. Anastacio MM, Kanter EM, Makepeace CM, Keith AD, Zhang H, Schuessler RB, Nichols CG & Lawton JS. (2013). Relationship between mitochondrial matrix volume and cellular volume in response to stress and the role of ATP-sensitive potassium channel. Circulation 128, S130–135. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Anderson AJ, Jackson TD, Stroud DA & Stojanovski D. (2019). Mitochondria-hubs for regulating cellular biochemistry: emerging concepts and networks. Open Biol 9, 190126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Baughman JM, Perocchi F, Girgis HS, Plovanich M, Belcher-Timme CA, Sancak Y, Bao XR, Strittmatter L, Goldberger O, Bogorad RL, Koteliansky V & Mootha VK. (2011). Integrative genomics identifies MCU as an essential component of the mitochondrial calcium uniporter. Nature 476, 341–345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Cheng H & Pamenter ME. (2021). Naked mole-rat brain mitochondria tolerate in vitro ischaemia. J Physiol 599, 4671–4685. [DOI] [PubMed] [Google Scholar]
  5. Cheng H, Sebaa R, Malholtra N, Lacoste B, El Hankouri Z, Kirby A, Bennett NC, van Jaarsveld B, Hart DW, Tattersall GJ, Harper ME & Pamenter ME. (2021). Naked mole-rat brown fat thermogenesis is diminished during hypoxia through a rapid decrease in UCP1. Nature communications 12, 6801. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Emaus RK, Grunwald R & Lemasters JJ. (1986). Rhodamine 123 as a probe of transmembrane potential in isolated rat-liver mitochondria: spectral and metabolic properties. Biochimica et Biophysica Acta (BBA) - Bioenergetics 850, 436–448. [DOI] [PubMed] [Google Scholar]
  7. Favaro G, Romanello V, Varanita T, Andrea Desbats M, Morbidoni V, Tezze C, Albiero M, Canato M, Gherardi G, De Stefani D, Mammucari C, Blaauw B, Boncompagni S, Protasi F, Reggiani C, Scorrano L, Salviati L & Sandri M. (2019). DRP1-mediated mitochondrial shape controls calcium homeostasis and muscle mass. Nat Commun 10, 2576. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Finkel T, Menazza S, Holmstrom KM, Parks RJ, Liu J, Sun J, Liu J, Pan X & Murphy E. (2015). The ins and outs of mitochondrial calcium. Circ Res 116, 1810–1819. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Gellerich FN, Gizatullina Z, Trumbeckaite S, Nguyen HP, Pallas T, Arandarcikaite O, Vielhaber S, Seppet E & Striggow F. (2010). The regulation of OXPHOS by extramitochondrial calcium. Biochim Biophys Acta 1797, 1018–1027. [DOI] [PubMed] [Google Scholar]
  10. Giorgi C, Marchi S & Pinton P. (2018). The machineries, regulation and cellular functions of mitochondrial calcium. Nat Rev Mol Cell Biol 19, 713–730. [DOI] [PubMed] [Google Scholar]
  11. Glancy B, Hartnell LM, Combs CA, Femnou A, Sun J, Murphy E, Subramaniam S & Balaban RS. (2018). Power Grid Protection of the Muscle Mitochondrial Reticulum. Cell Rep 23, 2832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Gottschalk B, Madreiter-Sokolowski CT & Graier WF. (2022). Cristae junction as a fundamental switchboard for mitochondrial ion signaling and bioenergetics. Cell Calcium 101, 102517. [DOI] [PubMed] [Google Scholar]
  13. Griffiths EJ & Rutter GA. (2009). Mitochondrial calcium as a key regulator of mitochondrial ATP production in mammalian cells. Biochim Biophys Acta 1787, 1324–1333. [DOI] [PubMed] [Google Scholar]
  14. Guan L, Che Z, Meng X, Yu Y, Li M, Yu Z, Shi H, Yang D & Yu M. (2019). MCU Up-regulation contributes to myocardial ischemia-reperfusion Injury through calpain/OPA-1-mediated mitochondrial fusion/mitophagy Inhibition. J Cell Mol Med 23, 7830–7843. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Gunter TE & Pfeiffer DR. (1990). Mechanisms by which mitochondria transport calcium. Am J Physiol 258, C755–786. [DOI] [PubMed] [Google Scholar]
  16. Halestrap AP, Quinlan PT, Whipps DE & Armston AE. (1986). Regulation of the mitochondrial matrix volume in vivo and in vitro. The role of calcium. Biochem J 236, 779–787. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Hamilton J, Brustovetsky T, Rysted JE, Lin Z, Usachev YM & Brustovetsky N. (2018). Deletion of mitochondrial calcium uniporter incompletely inhibits calcium uptake and induction of the permeability transition pore in brain mitochondria. J Biol Chem 293, 15652–15663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Hoitzing H, Johnston IG & Jones NS. (2015). What is the function of mitochondrial networks? A theoretical assessment of hypotheses and proposal for future research. Bioessays 37, 687–700. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Kazak L, Chouchani ET, Stavrovskaya IG, Lu GZ, Jedrychowski MP, Egan DF, Kumari M, Kong X, Erickson BK, Szpyt J, Rosen ED, Murphy MP, Kristal BS, Gygi SP & Spiegelman BM. (2017). UCP1 deficiency causes brown fat respiratory chain depletion and sensitizes mitochondria to calcium overload-induced dysfunction. Proc Natl Acad Sci U S A 114, 7981–7986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Kristian T & Siesjo BK. (1998). Calcium in ischemic cell death. Stroke 29, 705–718. [DOI] [PubMed] [Google Scholar]
  21. Kroemer G, Galluzzi L & Brenner C. (2007). Mitochondrial membrane permeabilization in cell death. Physiol Rev 87, 99–163. [DOI] [PubMed] [Google Scholar]
  22. Matlib MA, Zhou Z, Knight S, Ahmed S, Choi KM, Krause-Bauer J, Phillips R, Altschuld R, Katsube Y, Sperelakis N & Bers DM. (1998). Oxygen-bridged dinuclear ruthenium amine complex specifically inhibits Ca2+ uptake into mitochondria in vitro and in situ in single cardiac myocytes. J Biol Chem 273, 10223–10231. [DOI] [PubMed] [Google Scholar]
  23. Nathaniel TI, Saras A, Umesiri FE & Olajuyigbe F. (2009). Tolerance to oxygen nutrient deprivation in the hippocampal slices of the naked mole rats. J Integr Neurosci 8, 123–136. [DOI] [PubMed] [Google Scholar]
  24. Pamenter ME. (2014). Mitochondria: a multimodal hub of hypoxia tolerance. Can J Zool 92, 569–589. [Google Scholar]
  25. Pamenter ME, Dzal YA, Thompson WA & Milsom WK. (2019). Do naked mole rats accumulate a metabolic acidosis or an oxygen debt in severe hypoxia? J Exp Biol 222. [DOI] [PubMed] [Google Scholar]
  26. Pamenter ME, Lau GY, Richards JG & Milsom WK. (2018). Naked mole rat brain mitochondria electron transport system flux and H(+) leak are reduced during acute hypoxia. J Exp Biol 221. [DOI] [PubMed] [Google Scholar]
  27. Pandya JD, Nukala VN & Sullivan PG. (2013). Concentration dependent effect of calcium on brain mitochondrial bioenergetics and oxidative stress parameters. Front Neuroenergetics 5, 10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Perkins GA, Tjong J, Brown JM, Poquiz PH, Scott RT, Kolson DR, Ellisman MH & Spirou GA. (2010). The micro-architecture of mitochondria at active zones: electron tomography reveals novel anchoring scaffolds and cristae structured for high-rate metabolism. J Neurosci 30, 1015–1026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Peterson BL, Larson J, Buffenstein R, Park TJ & Fall CP. (2012). Blunted neuronal calcium response to hypoxia in naked mole-rat hippocampus. PLoS One 7, e31568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Picard M, McManus MJ, Csordas G, Varnai P, Dorn GW 2nd, Williams D, Hajnoczky G & Wallace DC. (2015). Trans-mitochondrial coordination of cristae at regulated membrane junctions. Nat Commun 6, 6259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Polster BM & Fiskum G. (2004). Mitochondrial mechanisms of neural cell apoptosis. J Neurochem 90, 1281–1289. [DOI] [PubMed] [Google Scholar]
  32. Popov V, Medvedev NI, Davies HA & Stewart MG. (2005). Mitochondria form a filamentous reticular network in hippocampal dendrites but are present as discrete bodies in axons: a three-dimensional ultrastructural study. J Comp Neurol 492, 50–65. [DOI] [PubMed] [Google Scholar]
  33. Raffaello A, Mammucari C, Gherardi G & Rizzuto R. (2016). Calcium at the Center of Cell Signaling: Interplay between Endoplasmic Reticulum, Mitochondria, and Lysosomes. Trends Biochem Sci 41, 1035–1049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Rajdev S & Reynolds IJ. (1993). Calcium green-5N, a novel fluorescent probe for monitoring high intracellular free Ca2+ concentrations associated with glutamate excitotoxicity in cultured rat brain neurons. Neuroscience Letters 162, 149–152. [DOI] [PubMed] [Google Scholar]
  35. Ramírez S, Gómez-Valadés AG, Schneeberger M, Varela L, Haddad-Tóvolli R, Altirriba J, Noguera E, Drougard A, Flores-Martínez Á, Imbernón M, Chivite I, Pozo M, Vidal-Itriago A, Garcia A, Cervantes S, Gasa R, Nogueiras R, Gama-Pérez P, Garcia-Roves PM, Cano DA, Knauf C, Servitja J-M, Horvath TL, Gomis R, Zorzano A & Claret M. (2017). Mitochondrial Dynamics Mediated by Mitofusin 1 Is Required for POMC Neuron Glucose-Sensing and Insulin Release Control. Cell metabolism 25, 1390–1399.e1396. [DOI] [PubMed] [Google Scholar]
  36. Ryu SY, Beutner G, Dirksen RT, Kinnally KW & Sheu SS. (2010). Mitochondrial ryanodine receptors and other mitochondrial Ca2+ permeable channels. FEBS Lett 584, 1948–1955. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Safiulina D, Veksler V, Zharkovsky A & Kaasik A. (2006). Loss of mitochondrial membrane potential is associated with increase in mitochondrial volume: physiological role in neurones. J Cell Physiol 206, 347–353. [DOI] [PubMed] [Google Scholar]
  38. Schneider A, Kurz S, Manske K, Janas M, Heikenwalder M, Misgeld T, Aichler M, Weissmann SF, Zischka H, Knolle P & Wohlleber D. (2019). Single organelle analysis to characterize mitochondrial function and crosstalk during viral infection. Sci Rep 9, 8492. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Shen AC & Jennings RB. (1972). Myocardial calcium and magnesium in acute ischemic injury. Am J Pathol 67, 417–440. [PMC free article] [PubMed] [Google Scholar]
  40. Shenouda SM, Widlansky ME, Chen K, Xu G, Holbrook M, Tabit CE, Hamburg NM, Frame AA, Caiano TL, Kluge MA, Duess MA, Levit A, Kim B, Hartman ML, Joseph L, Shirihai OS & Vita JA. (2011). Altered mitochondrial dynamics contributes to endothelial dysfunction in diabetes mellitus. Circulation 124, 444–453. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Silver IA & Erecinska M. (1990). Intracellular and extracellular changes of [Ca2+] in hypoxia and ischemia in rat brain in vivo. J Gen Physiol 95, 837–866. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Spinazzi M, Radaelli E, Horre K, Arranz AM, Gounko NV, Agostinis P, Maia TM, Impens F, Morais VA, Lopez-Lluch G, Serneels L, Navas P & De Strooper B. (2019). PARL deficiency in mouse causes Complex III defects, coenzyme Q depletion, and Leigh-like syndrome. Proc Natl Acad Sci U S A 116, 277–286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Szabadkai G & Duchen MR. (2008). Mitochondria: the hub of cellular Ca2+ signaling. Physiology (Bethesda) 23, 84–94. [DOI] [PubMed] [Google Scholar]
  44. Twig G, Elorza A, Molina AJ, Mohamed H, Wikstrom JD, Walzer G, Stiles L, Haigh SE, Katz S, Las G, Alroy J, Wu M, Py BF, Yuan J, Deeney JT, Corkey BE & Shirihai OS. (2008). Fission and selective fusion govern mitochondrial segregation and elimination by autophagy. EMBO J 27, 433–446. [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.

Supplementary Materials

Supinfo2
Supinfo1
Supinfo3

Supplimenaty Figure 1. Normalized Ca2+ uptake by permeabilized cortical brain tissues. Fluorescent sensorgram of Ca2+ uptake by permeabilized cortical brain tissues from mice (A & C) and NMRs (B & D) following addition of 50 μM Ca2+ (100% normalized). Substrates are GMD+Ru360 (black traces), GMD+CCCP+Ru360 (purple traces), ATP (red traces), GM (green traces), GMD+CCCP (orange traces), and GMD (blue traces). Data are presented as mean ± SD from n = 4 independent biological replicates.

Data Availability Statement

All data will be posted to Dryad upon acceptance and are available to the reviewers upon request.

RESOURCES