ABSTRACT
Damaraland mole-rats (Fukomys damarensis) are a hypoxia-tolerant fossorial species that exhibit a robust hypoxic metabolic response (HMR) and blunted hypoxic ventilatory response (HVR). Whereas the HVR of most adult mammals is mediated by increased excitatory glutamatergic signalling, naked mole-rats, which are closely related to Damaraland mole-rats, do not utilize this pathway. Given their phylogenetic relationship and similar lifestyles, we hypothesized that the signalling mechanisms underlying physiological responses to acute hypoxia in Damaraland mole-rats are like those of naked mole-rats. To test this, we used pharmacological antagonists of glutamatergic α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors (AMPARs) and N-methyl-d-aspartate receptors (NMDARs), combined with plethysmography, respirometry and thermal RFID chips, to non-invasively evaluate the role of excitatory AMPAR and NMDAR signalling in mediating ventilatory, metabolic and thermoregulatory responses, respectively, to 1 h of 5 or 7% O2. We found that AMPAR or NMDAR antagonism have minimal impacts on the HMR or hypoxia-mediated changes in thermoregulation. Conversely, the ‘blunted’ HVR of Damaraland mole-rats is reduced by either AMPAR or NMDAR antagonism such that the onset of the HVR occurs in less severe hypoxia. In more severe hypoxia, antagonists have no impact, suggesting that these receptors are already inhibited. Together, these findings indicate that the glutamatergic drive to breathe decreases in Damaraland mole-rats exposed to severe hypoxia. These findings differ from other adult mammals, in which the glutamatergic drive to breathe increases with hypoxia.
INTRODUCTION
Most adult terrestrial mammals are largely intolerant of low environmental oxygen (O2) tensions; however, a few species inhabit niches in which they encounter hypoxia on an intermittent or sustained basis (Bickler and Buck, 2007; Dzal et al., 2015). For example, inhabitants of subterranean environments often experience various degrees of hypoxia because of poor air circulation, limited diffusion of gases through the soil, and/or the metabolic consumption of O2 by densely grouped populations. Indeed, measurements from subterranean burrows of various species have reported ambient O2 concentrations ranging from 6 to 20.5% O2 (Holtze et al., 2018; Kennerly, 1964; Kuhnen, 1986; Maclean, 1981; Roper et al., 2001; Schaefer and Sadleir, 1979).
At the cellular level, hypoxia compromises aerobic energy production (Buck and Pamenter, 2006; Hochachka, 1986), and exerts a strong evolutionary pressure on animals that dwell in such niches (Pamenter et al., 2020; Townley et al., 2022). In response, terrestrial mammals that inhabit hypoxic environments have evolved physiological and molecular adaptations that enable them to thrive with reduced O2 availability, primarily by increasing the supply of O2 to tissues and/or by decreasing demand for O2 (Boggs et al., 1984; Dzal et al., 2015). Oxygen supply can be increased by increasing ventilation or cardiac perfusion, improving blood O2 carrying capacity, or reducing diffusion barriers between blood vessels and tissues (Dzal et al., 2015). Conversely, reducing systemic metabolic demand can be achieved through a variety of strategies, including reductions in physical activity, thermogenesis, and various tissue and cellular functions, among others (Guppy and Withers, 1999; Hochachka, 1986; Hochachka et al., 1996; Pamenter and Powell, 2016; Teppema and Dahan, 2010). In general, most adult hypoxia-intolerant mammals rely primarily on increasing O2 supply (Frappell et al., 1992), even though this strategy is typically energetically demanding owing to the elevated metabolic effort associated with increased breathing or cardiac output. To increase O2 supply, most adult mammals increase ventilation (Frappell et al., 1992; Pamenter and Powell, 2016), which is referred to as the hypoxic ventilatory response (HVR). In contrast, hypoxia-tolerant adult mammals often exhibit robust metabolic rate suppression when they encounter a hypoxic environment [i.e. the hypoxic metabolic response (HMR)]. Importantly, some hypoxia-intolerant adult mammals with small body masses also reduce their metabolic demand in hypoxia. For example, mice exhibit robust metabolic rate suppression in hypoxia, whereas rats, star-nosed moles, ground squirrels and golden hamsters do not (Arias-Reyes et al., 2021; Devereaux et al., 2021; Dzal and Milsom, 2019; Wunnenberg et al., 1987). However, unlike in many hypoxia-tolerant species in which facultative reductions in metabolic rate are carefully regulated responses to reductions in O2 supply, the hypoxia-mediated suppression of metabolic rate in mice is associated with insufficient O2 delivery and is thus not an adaptive response.
The HVR is primarily mediated by signalling changes in the chemoreflex arc between peripheral carotid bodies and ventilatory control centres in the central nervous system (CNS). Broadly speaking, the HVR is predominately regulated by glutamatergic signalling in most hypoxia-intolerant adult mammals. Specifically, the onset of hypoxia is detected by peripheral arterial chemoreceptors of the carotid body, which signal to the medulla via afferent neurons in the carotid sinus nerve (Kumar and Prabhakar, 2012). Within the medulla, glutamate is released into the nucleus tractus solitarii (NTS), a region that, among other functions, controls ventilation (Housley and Sinclair, 1988; Yelmen, 2004). Because the release of glutamate into the NTS immediately precedes the HVR, it is postulated that glutamate is primarily responsible for the initial increase in ventilation (the first phase of the biphasic HVR). In support of this, injecting glutamate into the NTS is sufficient to initiate an HVR-like response in normoxia, whereas severing the carotid sinus nerve eliminates both glutamate release and the HVR (Mizusawa et al., 1994; Richter et al., 1999). Furthermore, both systemic injection as well as isolated NTS microinjection of N-methyl-d-aspartate receptor (NMDAR) antagonists abate, and in some cases eliminate, the HVR (Connelly et al., 1992; Mizusawa et al., 1994; Ohtake et al., 1998; Pamenter et al., 2014a,b).
In addition to NMDARs, glutamatergic α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors (AMPARs), also contribute to the HVR. In support of this, systemic intraperitoneal injection of AMPAR agonists increases phrenic nerve inspiratory bursts to respiratory muscle groups (ElMallah et al., 2015), and AMPA microinjection into the NTS results in a near HVR-like increase in respiratory frequency. Furthermore, broad-spectrum excitatory amino acid antagonists induce more wide-ranging inhibitory effects on hypoxic responses than NMDAR antagonism alone (Mizusawa et al., 1994; Pamenter et al., 2014b, 2015b), whereas the simultaneous injection of NMDAR and AMPAR antagonists into the NTS attenuates both cardiac and ventilatory responses to carotid body stimulation in rats (Braga et al., 2007; Haibara et al., 1999; Vardhan et al., 1993; Zhang and Mifflin, 1993). Taken together, these results indicate that glutamate released into the NTS in response to hypoxic stimulation of the carotid sinus nerve initiates the HVR via both NMDARs and AMPARs in most adult mammals. Conversely, few studies have explored the CNS control of metabolic responses to hypoxia in any adult species.
Unlike most adult mammals, many fossorial species, and especially social fossorial species, are hypoxia-tolerant and express a physiological phenotype to hypoxia that is divergent from that of adult hypoxia-intolerant mammals. For example, fossorial adult mammals typically reduce their metabolic rate in hypoxia (Arieli et al., 1977; Devereaux and Pamenter, 2020; Frappell et al., 1992; Guppy and Withers, 1999; Ivy et al., 2020; Tomasco et al., 2010), and, although it is not eliminated, the HVR of fossorial species tends to be smaller than that of surface-dwelling mammals and/or its onset occurs at a relatively lower level of environmental O2 than in non-fossorial mammals (i.e. their HVR is ‘blunted’). For example, the HVR threshold in fossorial species ranges from 5 to 12.5% O2 (Arieli and Ar, 1979; Barros et al., 2004; Boggs et al., 1998; Devereaux and Pamenter, 2020; Frappell et al., 1994; Ivy et al., 2020; Tomasco et al., 2010), whereas non-fossorial mammals hyperventilate closer to ∼16% O2 (Arieli and Ar, 1979; Hemingway and Nahas, 1952).
The CNS control of the HVR and HMR in fossorial species is poorly understood, but one such species where the CNS control of ventilation and metabolism has received some attention is the eusocial naked mole-rat. Naked mole-rats putatively experience deep but intermittent hypoxia in their crowded underground burrows (Buffenstein et al., 2022; Pamenter, 2022), and in a laboratory setting, can survive hypoxia down to 3% O2 for hours, and weeks in O2 levels of 8% (Chung et al., 2016; Farhat et al., 2020; Pamenter et al., 2019, 2018). In response to hypoxia, naked mole-rats reduce their metabolic rate (Pamenter et al., 2015a, 2019), partially through a rapid decrease in thermogenesis (Cheng et al., 2021; Kirby et al., 2018; Vandewint et al., 2019). Conversely, the ventilatory response of naked mole-rats to hypoxia is less well-defined owing to technical limitations of measuring ventilation in an animal with a body temperature (Tb) that approaches ambient temperature (Ta) in hypoxia (Cheng et al., 2021; Pamenter, 2023); however, it is generally accepted that they either decrease or maintain ventilation in hypoxia (Chung et al., 2016; Dzal et al., 2019; Pamenter et al., 2015a). Intriguingly, and unlike in all other adult mammals studied, modulation of glutamate receptors has no impact on the HVR (or the HMR) in naked mole-rats (Dzal et al., 2019).
Another fossorial species of interest is the Damaraland mole-rat (Fukomys damarensis), which is a close cousin of the naked mole-rat and is the only other eusocial mammal (Thomas et al., 2016). Much like other fossorial and hypoxia-tolerant species, Damaraland mole-rats have a blunted HVR with altered ventilation beginning in 12% O2, and a robust HMR, with metabolism decreasing by ∼56% in acute hypoxia (Ivy et al., 2020). Therefore, it is apparent that Damaraland mole-rats and naked mole-rats have a similar HVR and HMR, and thus Damaraland mole-rats may also have similar underlying control pathways. However, nothing is known about the CNS signalling mechanisms that control the HVR and HMR in Damaraland mole-rats.
To begin to address this knowledge gap, we examined the role of excitatory glutamatergic signalling in the HVR and HMR of Damaraland mole-rats. We hypothesized that the signalling pathways that regulate the HVR and HMR in Damaraland mole-rats are like those observed in naked mole-rats and do not rely upon excitatory glutamatergic signalling. To test this hypothesis, we measured ventilation, metabolism and thermoregulation in freely behaving Damaraland mole-rats exposed to normoxia (21% O2) and then acute hypoxia (1 h in 7 or 5% O2), with and without intraperitoneal injections of glutamatergic NMDAR or AMPAR antagonists.
- ACR
air convection requirement
- AMPAR
α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor
- CNQX
cyanquixaline (6-cyano-7-nitroquinoxaline-2,3-dione)
- CNS
central nervous system
- fR
breathing frequency
- HMR
hypoxic metabolic response
- HVR
hypoxic ventilatory response
- MK-801
dizocilpine
- NMDAR
N-methyl-d-aspartate receptor
- NTS
nucleus tractus solitarius
- RER
respiratory exchange ratio
- Ta
ambient temperature
- Tb
body temperature
- V̇E
minute ventilation
- V̇CO2
carbon dioxide production
- V̇O2
oxygen consumption rate
- VT
tidal volume
MATERIALS AND METHODS
Animals
Damaraland mole-rats [Fukomys damarensis (Ogilby 1838)] were bred at the University of Ottawa group-housed in interconnected multi-cage systems at 22°C in 21% O2 and 0.04% carbon dioxide (CO2) and 50% humidity with a 12 h:12 h light:dark cycle. Animals were fed fresh tubers, vegetables, fruit and Pronutro cereal supplement ad libitum. The age of our experimental animals was selected based on a growth study of Damaraland mole-rats, which reported that this species reaches 90% of their full size by 600 days post-birth (Thorley and Clutton-Brock, 2019). Neural dimorphisms exist dependent on breeding status such that breeding animals have greater development in certain areas of the brain relative to subordinates of both sexes (Anyan et al., 2011), which may have unpredictable impacts on the neural control of physiological responses to hypoxia. As such, the queen and breeding male from our colony were omitted from this study.
Experimental ethics and design
All experimental procedures were approved by the University of Ottawa's Animal Care Committee (protocol no. 2535) and conducted in accordance with the Animals for Research Act and other regulations of the Canadian Council on Animal Care. Experiments were performed during the daylight portion of the animals' daily light:dark cycle and the experimental time within this window was randomized for each individual animal and experimental protocol to remove any bias induced by circadian rhythms. Briefly, 10 adult subordinate Damaraland mole-rats (5 males, 5 females, age 1.5–3 years; 208.1±12.3 g, mean±s.e.m.) were subjected to each of six experimental conditions, consisting of exposure to 1 h of normoxia followed by intraperitoneal injections of: saline alone (controls), dizocilpine maleate (MK801, to block NMDARs; 2.5 mg kg−1; Reid and Powell, 2005; Wong et al., 1986) or cyanquixaline (CNQX, to block AMPARs; 5 mg kg−1; Dzal et al., 2019; Honore et al., 1988). Animals were then replaced in normoxic conditions for 1 h to assess the impact of the drug on the physiological parameters of interest, and were finally exposed to either 5 or 7% O2 for 1 h. The saline experiments in this study for both 7 and 5% O2 are also presented in Devereaux and Pamenter (2023). Animals were not fasted prior to experimental trials and all animals were exposed to all six experimental paradigms (3× injected treatments in two different hypoxic conditions) in random order. Animals were permitted a minimum of 1 week of rest between experiments to reduce any confounding effects of previous hypoxic exposures.
For each experiment, animals were individually placed unrestrained in a 1.0 l Plexiglass experimental chamber held at 22°C in normoxia (21% O2/0.04% CO2) until O2 consumption reached steady state for a minimum of 20 min. For the purposes of these experiments, we defined steady state as a period in which the concentration of O2 in the excurrent air did not fluctuate by more than 0.2% for a minimum of 15 min. Following this normoxic control period, animals were removed from the experimental chamber and injected intraperitoneally with either saline or one of the two drugs. Drugs were diluted to inject animals with a standard bolus of 2.5 µl g−1 of body mass and drug dosages were based on previous experiments performed on naked mole-rats in our lab, which were in turn based on studies in other small rodents (see references above). Dosages were updated for the Damaraland mole-rats on an as-needed basis. Animals must have been awake and not exhibiting signs of physical stress (e.g. haunching, scratching or licking injection site, irregular or strained breathing patterns, etc.) post-injection before they were subjected to experimentation.
After injection, animals were placed back into normoxia until O2 consumption reached steady state. This was done to control for any effects the drugs may have had on metabolic or ventilatory parameters while the animals were still breathing normoxic air, and to account for stress following the injection and related handling. Finally, O2 was lowered to 7% or 5%, taking up to 15–30 min to achieve the new hypoxic equilibrium in the experimental chamber and until metabolic parameters once again reached steady state. Our lab has previously conducted experiments in naked mole-rats using these same drug treatments in a 7% O2 hypoxic exposure. Therefore, we chose this O2 level for our experiments to permit simple comparison between the two species. However, in preliminary studies we did not observe a ventilatory response in 7% O2. Therefore, we repeated all experiments in a deeper level of hypoxia (5% O2) to better assess the effect of each drug on ventilation. Although Damaraland mole-rats have been studied in as low as 3% O2, pilot trials determined this was only tolerable for a maximum of 35 min with saline, and for less time in certain drug trials. Thus, 5% O2 was determined to be the lowest safe O2 level for the animals and we did not test deeper levels of hypoxia. Each experimental stage lasted approximately 1 h.
To maximize the sensitivity and resolution of metabolic rate measurements, gases were continuously supplied at 0.4 l min−1. As a result, animal-induced changes in the concentrations of O2 and CO2 would have altered the gas composition in the experimental chamber, reducing O2 by ∼0.4–2.0% and increasing CO2 by ∼0.1–1.0%, depending on their metabolic activity. However, standard practices in this field are based largely on studies in hypoxia-intolerant animals, such as mice, dogs and rats, which are considerably more sensitive to smaller changes in atmospheric O2 and CO2. Conversely, Damaraland mole-rats live at mild altitude in nature, in which atmospheric air is ∼18.5% O2, and their metabolic and ventilatory responses to hypoxia and hypercapnia are not activated until well beyond 19% O2 or 1% CO2 (Ivy et al., 2020; Zhang and Pamenter, 2019a,b). Therefore, it is unlikely that this impacted our evaluation of the regulation of the HVR and HMR in this species.
Respirometry
In these equations, FRi is the incurrent flow rate (ml min−1), FiO2 and FiCO2 are the fractional concentrations of incurrent O2 and CO2 of dry gas, respectively, and FeO2 and FeCO2 are the fractional concentrations of excurrent O2 and CO2 from the experimental chamber, respectively (Lighton, 2008). Respiratory exchange ratios (RERs) were calculated as V̇CO2/V̇O2.
Thermal measurements
Body temperature (Tb, °C) was recorded non-invasively every 10 min throughout all experiments using an RFID microchip reader (Allflex USA Inc., Dallas, TX, USA) to scan previously implanted subcutaneous RFID microchips (Destron Fearing) along the back flank of the animal. Chamber temperature was recorded at each inflow period using a custom thermocouple.
Whole-body plethysmography
The average oscillation height was taken from each breath set, representing the average total pressure deflection of a breath (Pm). Pcal (V) and Vcal (µl) are the pressure deflection and volume of a known calibrated volume, respectively. The average oscillation height of each calibration set was plotted against its respective volume and used to create a linear relationship. The point on this line representing 0.2 ml was chosen as Pcal and Vcal. TA is the body temperature of the animal (in K) and TC is the temperature of the chamber (K), both recorded at the end of the 10 min period. PB is the barometric pressure in the lab (mmHg) as measured by the O2 analyzer. PA is the vapour pressure of water at the animal's body temperature (mmHg) and PC is the partial pressure of water vapour (mmHg) in the incurrent gas stream (Drorbaugh and Fenn, 1955). PA was calculated using relative humidity (%) of excurrent air, animal temperature (°C) and barometric pressure (kPa). PC used relative humidity (%) of incurrent air, chamber temperature (°C) and barometric pressure (kPa). The same breath samples were used to calculate fR. Minute ventilation (V̇E) was calculated as the product of fR and VT. The air convection requirements (ACRs) for O2 and CO2 were calculated as the quotient of V̇E and V̇O2 or V̇CO2, respectively.
Analysis
Ventilatory and metabolic data were collected using LabChart software (ADInstruments, Colorado Springs, CO, USA) and analyzed in PowerLab (ADInstruments). Statistical analysis was performed using commercial software (Prism v.9.2.0, GraphPad Software Inc., La Jolla, CA, USA). Responses to hypoxia and changes mediated by MK801 or CNQX administration were not different between sexes and so these data were pooled in our analysis. P<0.05 was considered the threshold for statistical significance. Data are presented in box and whisker plots. Statistical significance was evaluated using a two-way repeated-measures analysis of variance (RM-ANOVA) or mixed-effects model, as appropriate, to test for interactions between normoxia and hypoxia (7% or 5% O2), or drug treatments. Tukey's or Šidák's multiple comparisons tests were performed on each dependent variable to determine significance.
RESULTS
MK801 reduces V̇O2 in severe hypoxia
First, we evaluated the impact of glutamatergic receptor antagonism in normoxia and on the HMR. In saline controls, metabolic variables decreased significantly with the onset of hypoxia. Specifically, both V̇O2 and V̇CO2 decreased by ∼65–75% in both levels of hypoxia (F1,25=153.5, P<0.0001, F1,19=144.3, P<0.0001, F1,27=139.9, P<0.0001, and F1,26=149.0, P<0.0001 for V̇O2 in 7 and 5% O2 and V̇CO2 in 7 and 5% O2, respectively; Fig. 1). The magnitude of the HMR in saline-treated animals was not different between hypoxia levels for either V̇O2 (P=0.6914; Fig. 1C) or V̇CO2 (P>0.999; Fig. 1F).
In drug-treated animals, CNQX tended to reduce V̇O2 and V̇CO2 in normoxia, although this effect was not significant in all treatment groups (P<0.0001 for both in 5% O2 experiments; Fig. 1). With the onset of hypoxia, metabolic variables decreased by >50% (P<0.0001 and P=0.0006 for V̇O2 in 7 and 5% O2, respectively; P=0.0001 and 0.003 for V̇CO2 in 7 and 5% O2, respectively), and to levels that were similar to saline-treated animals in the same degree of hypoxia (P>0.9999 for all comparisons). Relative to saline controls, the magnitude of the HMR in CNQX-treated animals was reduced in the 5% but not the 7% O2 treatment groups (P=0.0079 for V̇O2 and 0.0215 for V̇CO2; Fig. 1C,F). This reduction was due to the lower metabolic rate in animals treated with CNQX in normoxia and not to a reduction in the absolute metabolic rate in hypoxia.
Similarly, following MK801 injection, V̇O2 and V̇CO2 were both reduced by ∼20% in normoxia (P<0.0001 for both; Fig. 1). With the onset of hypoxia, V̇O2 decreased ∼65–85% further (P<0.0001 for all). This hypoxic V̇O2 level was similar to that of saline controls in 7% O2 (P=0.8035) but was reduced relative to controls in 5% O2 (P=0.0456). Similarly, V̇CO2 decreased by ∼60–70% in hypoxia in CNQX-treated animals (P<0.0001 for both), and the final level of V̇CO2 was similar to that of saline controls in these animals in both 7 and 5% O2 (P=0.8035 and 0.7213, respectively). Relative to saline controls, the magnitude of the HMR was not affected by MK801 (Fig. 1C,D).
Damaraland mole-rats switch from mixed lipid/carbohydrate metabolism to entirely carbohydrate metabolism in hypoxia
Comparing the rates of O2 consumption and CO2 production (i.e. the RER) provides an indirect measure of metabolic fuel usage (Lau et al., 2017; Simonson and DeFronzo, 1990). Hypoxic treatment had a significant impact on the RER in both experimental groups (F1,19=35.13, P<0.0001 and F1,25=48.10, P<0.0001 in 7 and 5% O2, respectively; Fig. 2A,B). In saline-treated animals, the RER changed from 0.82 in normoxia to 0.990 in both 7 and 5% O2. Antagonism of AMPARs had no effect on the RER in normoxia or hypoxia (P>0.9999 for all comparisons). With the onset of hypoxia, the RER increased in CNQX-treated animals to 0.97 and 1.00 in 7 and 5%, respectively, which was not different from saline controls in hypoxia (P=0.9944 and 0.9996 in 7 and 5%, respectively). MK801 treatment also had no effect on the RER in normoxia (P=0.9668 and 0.7855 in 7 and 5% O2 experiments, respectively), but the RER in these animals increased significantly to 1.41 and 1.88 in 7 and 5% hypoxia, respectively (P<0.0001 for both). As a result, the magnitude of change in the RER was greater with MK801 than in other treatment groups (P<0.0001 for all comparisons; Fig. 2C).
Thermoregulation is decreased in hypoxia, independent of AMPAR or NMDAR regulation
We also measured Tb to gain insight into the impact of hypoxia on thermoregulation because many small mammals reduce Tb to facilitate metabolic savings in hypoxia (Barros et al., 2001; Wood and Gonzales, 1996; Wood and Stabenau, 1998). We found that Tb decreased by ∼3°C in saline-treated animals exposed to both 7 and 5% O2 (F1,20=90.49, P<0.0001 and F1,24=584.2, P<0.0001 for 7 and 5% O2, respectively; Fig. 3A). In drug trials, CNQX and MK801 had no significant effect on Tb in normoxia, or on the hypoxic change in Tb (P>0.9999 for all comparisons; Fig. 3A,B). Similarly, the magnitude of the Tb change was similar across all treatment conditions and levels of hypoxia (F1,44=0.001274, P=0.9717; Fig. 3C).
Ventilation is decreased in severe but not moderate hypoxia
Next, we measured changes in ventilation and its component parameters (fR and VT) to evaluate the HVR. Relative to normoxia, saline-treated animals exhibited a 40% reduction in V̇E in 5% O2 (F1,25=53.31, P<0.0001; Fig. 4A) but no change in 7% O2 (P=0.6807; Fig. 4B). However, although the change in 5% O2 was significant when considering the averaged data, the magnitude of change was not significant when comparing across datasets (F1,48=1.249, P=0.2693; Fig. 4C). The change in V̇E in 5% O2 was mediated by a non-significant ∼15% reduction in fR (Fig. 4D; P=0.1243) and a significant 25% reduction in VT (F1,26=17.76, P=0.0003; Fig. 4H). Conversely, both fR and VT were unchanged in 7% O2 (P>0.9999 for all comparisons; Fig. 4G,H), and the magnitude of change was not different between control datasets (F1,44=1.596, P=0.2131; Fig. 4F,I).
AMPAR or NMDAR antagonism reduces ventilation in moderate hypoxia
AMPAR antagonism did not impact V̇E in normoxia in the 7% O2 experiments (P=0.9929; Fig. 4A) but caused an ∼35% reduction in V̇E in normoxia in the 5% O2 experiments (P=0.0219; Fig. 4B). No further changes were observed in these animals with subsequent hypoxia exposure in either experimental group (P=0.1226 and 0.9009 for 5 and 7% O2, respectively). However, it is notable that V̇E was ∼34% lower in CNQX-treated animals in 7% O2 than in saline-treated animals in the same conditions (P=0.0073), but was not different from saline-only controls in 5% O2 (P=0.9985). The magnitude of the HVR in CNQX-treated animals was not different from that of saline controls (Fig. 4C). The CNQX-mediated changes in V̇E in normoxia resulted from non-significant reductions in fR and VT, which each decreased by ∼11–20% with drug injections (P=0.572 and 0.0692 for fR in 7 and 5% O2, respectively, and 0.7362 and 0.3332 for VT in 7 and 5% O2, respectively; Fig. 4D–I). Neither variable changed with hypoxic exposure and the magnitude of change was not significant for fR or VT with CNQX treatment in either hypoxia level (Fig. 4F,I)
Whereas CNQX treatment tended to slightly decrease ventilatory parameters in normoxia, MK801 tended to increase normoxic ventilation. Specifically, MK801-treatment increased V̇E by ∼40–50% in all experimental protocols (P=0.0022 and 0.0073 for 7 and 5% O2 trials, respectively; Fig. 4A,B). These changes were mediated by 15–20% increases in both fR and VT (P=0.0472, 0.0492, 0.0114 and 0.0074 for fR and VT in 7 and 5% O2, respectively; Fig. 4D,E,G,H). With the onset of hypoxia, V̇E in MK801-treated animals decreased to a similar value as in saline-treated controls in both the 5 and 7% O2 experimental groups, mediated by offsetting and minor decreases in fR (P<0.0001 for both; Fig. 4D,E) and increases in VT (P<0.0055 and 0.0052, respectively; Fig. 4G,H). Relative to saline-treated controls in the same hypoxic conditions, fR was reduced by 25–35% (P=0.0225 and <0.0001 for 7 and 5% O2, respectively), but VT was unchanged (P>0.9999 for all comparisons). As a result of these changes, the magnitude of the decrease of V̇E and fR was markedly enhanced in both 7 and 5% O2 with MK801 treatment (F2,48=11.75, P<0.0001 for V̇E, and F2,44=40.88, P<0.0001 for fR; Fig. 4C,F), but not VT (F2,46=2.456, P=0.0969; Fig. 4I).
Glutamate receptor antagonism decreases the ACR in moderate hypoxia but increases it in severe hypoxia
ACRs are the ultimate indicator of hyperventilation as they provide a combined measure of ventilation relative to metabolic demand. Therefore, we next calculated ACRs to determine whether Damaraland mole-rats hyperventilate in hypoxia. Interestingly, we found that in saline-treated controls, the ACRO2 and ACRCO2 increased∼3.5- to 4-fold in 7% O2 but only ∼2- to 2.5-fold in 5% O2 (F2,47=26.54, P<0.0001 for O2, F2,51=2.858, P<0.0001 for CO2; Fig. 5A,B,D,E). As a result, the magnitude of change in the ACR was 2-fold larger in 7% versus 5% O2 (Fig. 5C).
CNQX injection had no effect on the ACRs in normoxia or severe hypoxia (P>0.9999 for all comparisons) but reduced the ACR by half in 7% O2 (P<0.0001 for both ACRO2 and ACRCO2 versus saline controls; Fig. 5A,D). Furthermore, CNQX reduced the change in the magnitude of the ACRs by ∼60–75% in the 7% O2 group (P=0.0421 and 0.0185 for ACRO2 and ACRCO2, respectively; Fig. 5C,F), but not the 5% O2 group (P>0.9999 for all comparisons).
Conversely, MK801 tended to increase the ACRs in normoxia, although this trend only reached significance in the 5% O2 trials (P=0.1102 and 0.1786 for the ACRO2 and ACRCO2 in 7% O2, respectively, and 0.0280 and 0.0032 for the ACRO2 and ACRCO2 in 5% O2, respectively). In hypoxia, MK801 reduced the ACR by 33–50% in 7% O2 (P<0.0001 for both ACRO2 and ACRCO2 versus saline controls; Fig. 5A,C), but increased the ACRO2 by ∼3-fold over similarly treated saline controls in 5% O2 (P<0.0001; Fig. 5B).
DISCUSSION
In the present study, we evaluated a role for excitatory glutamatergic signalling in regulating the hypoxic ventilatory, metabolic and thermoregulatory responses of fossorial Damaraland mole-rats to acute hypoxia. Our study yielded several important findings. First, glutamate receptor antagonism has mixed but generally mild impacts on metabolic rate and ventilation in normoxia that tend to be receptor-type specific. Second, Damaraland mole-rats have a robust HMR, which is not sensitive to AMPAR antagonism and is slightly enhanced by NMDAR antagonism. Third, ventilation decreases in severe but not moderate hypoxia, but ventilation in moderate hypoxia is reduced with glutamatergic receptor antagonism. Therefore, the HVR manifests in less severe hypoxia when these receptors are blocked. Taken together, these findings indicate that Damaraland mole-rats have an endogenous glutamatergic drive to breathe and that this drive is switched off with more severe hypoxia. Specifically, both AMPARs and NMDARs contribute to this ventilatory drive to breathe in 7% O2 but not in 5% O2. These findings are contrary to those from previous studies in closely related naked mole-rats, in which excitatory glutamatergic signalling did not impact the HVR, but also differ from results in other adult mammals in which upregulated glutamatergic signalling was central to the HVR. Indeed, and to our knowledge, downregulation of glutamatergic regulation of breathing during acute hypoxia has not been shown previously in any species whose normoxic ventilation is primarily driven by glutamatergic signalling.
Damaraland mole-rats rely primarily on a robust HMR, mediated in part by decreased thermogenesis, and have a blunted HVR
We report that Damaraland mole-rats rely primarily on a robust HMR in acute hypoxia, which is partially mediated by reduced thermoregulation. In addition, hypoxia-mediated changes in breathing are blunted in Damaraland mole-rats and do not manifest until 5% O2 under our study conditions. These findings are generally consistent with those in numerous other fossorial small mammal species (Arieli and Ar, 1979; Arieli et al., 1977; Barros et al., 2004; Boggs et al., 1998; Frappell et al., 1992, 1994; Guppy and Withers, 1999; Tomasco et al., 2010), including numerous other African mole-rats (Devereaux and Pamenter, 2020; Ivy et al., 2020).
Two previous studies have explored metabolic, ventilatory and thermoregulatory responses to acute hypoxia in Damaraland mole-rats (Ivy et al., 2020; Zhang and Pamenter, 2019b). These studies presented somewhat conflicted data regarding these physiological responses. Specifically, Zhang and Pamenter (2019b) did not observe an HMR in acute hypoxia, whereas Ivy et al. (2020) and the present study report robust depressions in metabolic rate in hypoxia. However, all three studies consistently report decreasing Tb with progressive hypoxia. In contrast, Zhang and Pamenter (2019b) and Ivy et al. (2020) reported a relatively high RER in normoxia that did not change in hypoxia, whereas we report an increase in RER with hypoxia, indicating a switch from mixed lipid/carbohydrate metabolism to complete reliance on carbohydrates in hypoxia. Regarding breathing, both Zhang and Pamenter (2019b) and Ivy et al. (2020) reported increases in V̇E with progressive hypoxia, whereas we report an HVR that consists of a decrease in V̇E.
Importantly, however, these studies used somewhat divergent protocols and populations of animals. Specifically, Ivy et al. (2020) and Zhang and Pamenter (2019b) used progressive hypoxia protocols in which animals were ‘stepped down’ from moderate to more severe hypoxia for 30 or 60 min at each level, respectively. Conversely, we used an acute change to a single and relatively severe level of hypoxia in each experiment. A more gradual onset of hypoxia may impact the recruitment of metabolic and ventilatory adaptations to hypoxia. Furthermore, Ivy et al. (2020) used wild-caught animals that were likely juveniles, given their average mass of ∼125 g. Conversely, Zhang and Pamenter (2019b) and the present study used adult animals that were lab-raised and with average masses of ∼210–230 g. In general, juvenile and adult animals have somewhat different physiological responses to hypoxia in most mammals (Frappell et al., 1992; Mortola, 1999, 2004), and this may explain some of the differences between these studies.
Perhaps most important is the difference in study temperature between these three reports. Ivy et al. (2020) conducted experiments in a warm laboratory with an ambient temperature of 28°C. Similarly, Zhang and Pamenter (2019b) conducted experiments in the thermoneutral zone of Damaraland mole-rats: 30°C. Conversely, the present study was conducted at a more typical room temperature of 22°C. This relatively cooler temperature would increase the scope of metabolic savings gained from reduced thermogenesis and may have affected the need to recruit ventilatory responses in acute hypoxia. Further studies are warranted to carefully explore physiological responses to hypoxia throughout development in this species and in different temperatures to resolve these differences.
The glutamatergic drive to breathe decreases in severe hypoxia
We report that both AMPAR and NMDAR inhibition reduces the ventilatory drive to breathe in 7% but not 5% O2. Numerous studies have explored the role of glutamatergic receptors in mediating the HVR (see Introduction). With overwhelming consistency, these studies report that the HVR manifests as an increase in ventilation with acute hypoxia in adult mammals, and that antagonism of glutamate receptors does not impact ventilation in normoxia but reduces or abolishes the HVR. Thus, in most adult mammals there is an increased drive to breathe in hypoxia that is mediated by upregulated glutamatergic signalling. In Damaraland mole-rats, the direction of change in absolute ventilation mediated by glutamate receptor antagonism is like that in other adult mammals (i.e. a net decrease in total ventilation), indicating that glutamatergic signalling is excitatory in this system. However, unlike in other adult mammals, there does not appear to be an upregulation of glutamatergic signalling in the hypoxic Damaraland mole-rat ventilatory control reflex arc. Instead, the glutamatergic drive to breathe may decrease with severe hypoxia, as suggested by our observation that glutamate receptor antagonism reduces ventilation in 7% but not 5% O2. Importantly, because the HVR in Damaraland mole-rats is a decrease in ventilation as opposed to the increase reported in all other adult mammals (except naked mole-rats), the impact of glutamate receptor antagonism is to further reduce ventilation, and also to induce the HVR in less severe levels of hypoxia and thereby reduce the ‘blunting’ of the HVR in this species.
Study limitations
Both CNQX and MK801 impacted breathing and metabolic rate; therefore, these drugs and the concentrations employed are efficacious in our study. Nonetheless, drugs were injected intraperitoneally and thus the specificity of their action is unclear. Unfortunately, cranial maps are not available for Damaraland mole-rats, and so stereotaxic implantation of permanent cannulas that target the respiratory brainstem is not yet feasible in this species. However, intraperitoneal injections of these pharmacological agents have been employed successfully in numerous studies in various small rodent species (e.g. Berrino et al., 2003; Dzal et al., 2019; Jeon et al., 2017; McGuire et al., 2008; Mead and Stephens, 1999; Murschall and Hauber, 2005; Reid and Powell, 2005; Velisek et al., 1995; Xiang et al., 2018), indicating that these agents cross the blood–brain barrier to interact with AMPARs and NMDARs, which are not found outside of the CNS.
Conclusions
In the present study, we demonstrated that AMPA and NMDA receptors partially mediate metabolic rate and ventilation in Damaraland mole-rats exposed to either normoxia or acute hypoxia. However, unlike in most other adult mammals, in which glutamatergic signalling is upregulated in hypoxia, leading to a net increase in ventilation, AMPAergic and NMDAergic signalling became downregulated with severe hypoxia in Damaraland mole-rats, contributing to a net decrease in ventilation. Conversely, we report only minor effects of NMDAR inhibition and no effect of AMPAR inhibition on the HMR and, unfortunately, we are not aware of any studies in other species in which the role of glutamatergic receptors in mediating the HMR has been explored. Further study is clearly required to fully understand how the HMR and HVR are regulated in this species. Exploring the role of inhibitory synaptic pathways may be relevant given the net decrease in both metabolism and ventilation during acute hypoxia in this species.
Acknowledgements
We thank the uOttawa veterinary technicians for their assistance in animal handling and husbandry.
Footnotes
Author contributions
Conceptualization: M.E.M.D., M.E.P.; Methodology: M.E.M.D.; Validation: M.E.M.D., M.E.P.; Formal analysis: M.E.M.D., S.C., K.B., M.E.P.; Investigation: M.E.M.D., S.C., K.B.; Resources: M.E.P.; Data curation: M.E.M.D.; Writing - original draft: M.E.P.; Writing - review & editing: M.E.M.D., M.E.P.; Supervision: M.E.P.; Project administration: M.E.P.; Funding acquisition: M.E.P.
Funding
This work was supported by a Natural Sciences and Engineering Research Council of Canada Discovery grant (04229) to M.E.P. OA funding supplied by University of Ottawa. Deposited in PMC for immediate release.
Data availability
All relevant data can be found within the article.
References
Competing interests
The authors declare no competing or financial interests.