Abstract
Sighs prevent the collapse of alveoli in the lungs, initiate arousal under hypoxic conditions, and are an expression of sadness and relief. Sighs are periodically superimposed on normal breaths, known as eupnea. Implicated in the generation of these rhythmic behaviors is the preBötzinger complex (preBötC). Our experimental evidence suggests that purinergic signaling is necessary to generate spontaneous and hypoxia-induced sighs in a mouse model. Our results demonstrate that driving calcium increases in astrocytes through pharmacological methods robustly increases sigh, but not eupnea, frequency. Calcium imaging of preBötC slices corroborates this finding with an increase in astrocytic calcium upon application of sigh modulators, increasing intracellular calcium through g-protein signaling. Moreover, photo-activation of preBötC astrocytes is sufficient to elicit sigh activity, and this response is blocked with purinergic antagonists. We conclude that sighs are modulated through neuron-glia coupling in the preBötC network, where the distinct modulatory responses of neurons and glia allow for both rhythms to be independently regulated.
Similar content being viewed by others
Introduction
Rhythmic activity is ubiquitous and dictates life from birth to death. Cortical activity states in wakefulness and sleep are characterized by multiple frequencies and rhythmic properties1,2. Among the most important rhythms of life, breathing controls not only ventilation and vocalization but also serves as an important timing mechanism for cortical activity2,3,4,5,6,7. Under normal conditions, inspiratory efforts occur in two forms, eupnea and sighs. Eupnea refers to normal, resting breathing, which is periodically interrupted by deep, large-volume inspirations called sighs. Eupnea maintains blood gas homeostasis, whereas sighs function to prevent the spontaneous collapse of alveoli that occurs over time, a process termed atelectasis8. Moreover, sighs seem to precede most awakenings, and their frequency increases during sleep transitions, when exposed to hypoxia, and during emotions of relief, concentration, and love8,9,10.
Inspiration is generated and shaped by a spatially dynamic network located bilaterally along the ventrolateral medulla11. Within this network, the pre-Bötzinger Complex (preBötC) constitutes a core that is both necessary and sufficient for inspiration12,13,14,15,16. The preBötC is heterogenous, containing primarily glutamatergic, GABAergic, and glycinergic neurons. Many preBötC neurons also express sodium- and Ca2+-dependent bursting currents (INaP and ICAN, respectively), and those that express a high density of either of these currents can become autorhythmic, (i.e., have the ability to fire bursts of action potentials in the absence of synaptic inputs)17,18,19,20. Although glutamatergic synaptic interactions in the preBötC may be the minimum requirement for producing an inspiratory rhythm21, a dynamic eupneic rhythm emerges from heterogeneous interactions among synaptic excitation, inhibition, and intrinsic bursting currents22. Indeed, mechanisms that underlie eupnea generation in the preBötC have been an active area of research for nearly two decades12,22,23,24,25,26,27,28.
Much less is known about the mechanisms underlying sigh generation. The ability to record directly from the preBötC in thin brainstem slices has revealed that this network can simultaneously generate two distinct rhythms—a fast eupneic rhythm and a slow, larger amplitude, sigh rhythm29. Indeed, even when further isolated in “micro islands”, the preBötC continues to produce eupnea and sighs30. Since these activities are described in reduced, in vitro preparations, they are often referred to as “fictive eupnea” and “fictive sighing”; however, the characteristics of eupnea and sigh activities generated in vitro and in vivo are strikingly similar31. Intracellular patch recordings from the isolated preBötC revealed that many neurons are active during both eupnea and sighs30 and that some autorhythmic preBötC neurons continue to generate sigh-like bursts even when synaptic interactions are blocked, suggesting that these rhythms are not generated by distinct neuronal circuits. Yet, the spatial extent of the active inspiratory network expands during sighs32, and a small population of “sigh-only” neurons has been identified30, suggesting that the preBötC recruits additional neurons to participate in the inspiratory rhythm during sighs. Thus, the basic elements required for the generation of eupnea and sigh activity are largely overlapping and are contained within the preBötC.
Despite being generated by the same neuronal circuit, eupnea and sigh activities can be differentially modulated. These modulatory differences may be physiologically important during hypoxia or sleep/wake transitions when sighs are specifically upregulated8,33,34,35,36. Some of these modulatory influences likely originate from regions located outside the preBötC37,38. This includes the more rostrally located retrotrapezoid/parafacial respiratory group (RTN/pFRG), which may modulate sighs via peptidergic projections to the preBötC39; however, sighs are not eliminated by lesions of this region, blurring the role of the RTN/pFRG40. The nucleus tractus solitarius (NTS), an important region mediating respiratory responses to hypoxia, is also likely able to modulate sighing. Within the preBötC, blocking high-threshold voltage-gated P/Q type Ca2+ channels abolishes sighs, but not eupneic activity41. Eupnea and sigh rhythms are also differentially modulated by metabotropic glutamate receptors42 and a variety of aminergic and peptidergic neuromodulators30,31,39,43,44,45. These neuromodulators act through G-protein coupled receptors that activate downstream pathways to increase intracellular Ca2+, consequently reshaping Ca2+ dynamics in the network46, suggesting that sigh generation in the preBötC may involve the regulation of Ca2+ dynamics.
Glial cells play important roles in modulating the breathing rhythm47, and like neurons, glial activity is regulated by neuromodulators48. Glia mediate chemosensitive and pH-dependent breathing responses by propagating ATP-induced Ca2+ excitation49,50,51,52,53,54. Moreover, glia located near the PreBӧtC express small membrane currents that are purportedly phase-locked with respiratory activity54. Because Ca2+ fluctuations in glia have been broadly implicated in neuronal network function55,56, including the control of network synchronization by up and down-regulating synaptic transmission57,58, we hypothesized that Ca2+ dynamics within glial cells are a key mechanism that allows the preBötC network to simultaneously generate eupnea and sigh rhythms.
To address the question of how sighs and eupnea are generated in the same network, we combined in vitro slice electrophysiology, pharmacology, imaging techniques, and in vitro and in vivo optogenetics to explore how neurons and glia interact to generate sighs. Using pharmacology in a live slice preparation of the preBötC, we recorded neural population activity of eupnea and sigh rhythms. Our results revealed that purinergic P2Y1-dependent mechanisms are required for sigh generation and that P2Y1 receptor (P2Y1R) inhibition blunts the augmented portion of the hypoxic response by blocking sighs. Furthermore, we report that the sigh rhythm is not dependent on inhibitory interactions, as blockade of inhibition does not alter sigh characteristics or frequency. Targeted optogenetic stimulation of preBötC astrocytes was sufficient to elicit sigh and eupnea activity, which was blocked by purinergic P2Y1R antagonists. Multiphoton imaging in preBötC slices further revealed that β-adrenergic receptor (βAR) activation increases intracellular Ca2+ activity, corresponding to an increase in sighs. Based on these findings, we conclude that sighs are an emergent property of the preBötC network, regulated by neuroglial interactions to modulate sigh rhythmogenesis.
Results
Characterization of sighs: sighs are not generated through inhibitory mechanisms
The neuronally recorded in vitro preBötC population activity is referred to as ‘fictive’ breathing or sighing, and integrated population burst activity is referred to as a burst. Fictive sighs in vitro and sighs in vivo are characterized by their large amplitude, extended burst duration, the period of time following the occurrence of a sigh and onset of the next eupneic breath, and temporal occurrence. While sighs vary in shape, not every large amplitude burst is defined as a sigh. For example, sighs can occur with a similar amplitude to eupnea depending on network stability59, but retain an extended duration and post-burst interval. A failure to appropriately identify sighs can lead to considerable misinterpretation of data. Thus, we analyzed characteristics that distinguish sighs from eupneic bursts generated by the preBötC in brainstem slices from neonatal mice. Under control conditions, sigh amplitude, burst duration, and post-burst interval were significantly greater than eupneic bursts and occurred on a much slower time scale (Fig. 1a, b). Sighs varied in shape depending on their relationship with the eupneic rhythm; some sighs appeared as connected double bursts, with a large amplitude burst superimposed on a eupneic burst (‘biphasic’), whereas others occurred as a single large amplitude burst (‘monophasic’) (Fig. 1c, Supplementary Fig. 1a). Biphasic and monophasic sighs did not differ in burst amplitude, burst duration, or post burst interval. Under control conditions, we found that 78.5 ± 5.8% of total sighs were biphasic, and 21.4 ± 5.8% were monophasic. The prevalence of each sigh shape was variable between slices, and faster eupneic rhythms tended to have more monophasic sighs (Fig. 1d). Pharmacological blockade of GABAergic and glycinergic synaptic inhibition with strychnine and gabazine, referred to as “inhibition block”, did not eliminate sighs, change their frequency, or dissociate them from eupneic bursts (Fig. 1e, f)60. Sigh amplitude, post-burst interval, duration, and shape were also unaffected by the inhibition block. However, the amplitude of eupneic bursts increased relative to sighs32, thereby decreasing the ratio of sigh to eupnea amplitude (Fig. 1f). Moreover, sigh frequency could still be increased pharmacologically following inhibition block with the βAR agonist isoproterenol (Fig. 1e, f), a potent sigh modulator31. Thus, we conclude that inhibitory synaptic interactions among preBötC neurons are not required for sigh generation.
Astrocytes modulate sighing through purinergic signaling
Glia have recently been found to modulate respiratory rhythmogenesis through several mechanisms47,51,61,62,63. For example, pH-sensitive astrocytes on the ventral surface of the medulla can alter respiratory frequency51. These astrocytes release modulatory cues, such as D-serine63 and prostaglandin E262, from various brainstem regions, to stimulate the neural network and alter breathing. Astrocytes also respond to metabolic changes in their extracellular environment by increasing intracellular Ca2+50 through G-protein coupled receptor (GPCR) cascades. GPCR pathways are activated by Norepinephrine (NE), a biogenic amine known to modulate eupnea and sigh behavior64. Astrocytes in the medulla stabilize respiratory activity and have been shown to respond to NE with increases in Ca2+48. Moreover, recent evidence demonstrates that NE is important for astrocyte-induced activity in the cortex during sleep65. Thus, we hypothesized that preBötC glia could play a critical role in generating sighing. We first confirmed previous findings that NE modulates sigh activity;66 our results confirm that NE increases the frequency of sighs and found that high NE concentrations abolish sighs, but not eupnea activity (Supplementary Fig. 2a–c). NE also increased the proportion of monophasic sighs, coinciding with an increase in the eupneic frequency.
In the respiratory network67,68 and throughout the central nervous system69,70, astrocytic Ca2+ signaling involves the release of ATP, which modulates neural activity via purinergic receptors71,72,73. Therefore, we tested how purinergic signaling contributes to sigh generation in vitro by pharmacological manipulation of the ADP and ATP receptors P2Y1 and P2X, respectively (Fig. 2a–c)74. Activation of purinergic P2Y1Rs with MRS2365 significantly increased sigh frequency (Fig. 2a). Subsequent blockade of P2Y1R (MRS2279), but not P2X receptors (TNP-ATP), abolished sighs. The P2Y1R antagonist also blocked sighs induced with the βAR agonist isoproterenol (Fig. 2b).
During the onset of hypoxia, eupneic activity increases along with sighing, followed by a transformation of the normal inspiratory rhythm into gasping30. To test if purinergic P2Y1R inhibition would also block sighs generated during the central hypoxic response in vitro (Fig. 2c)30,68,71, eupnea and sigh activity was recorded before and during a bout of severe hypoxia (SH). We applied one bout of severe hypoxia followed by a recovery period before applying MRS2279 during a second hypoxic episode. In addition to the expected suppression of the augmented eupneic frequency response71, P2Y1R inhibition completely eliminated hypoxia-induced sighs in 8/9 slices. In control experiments where no drugs were applied, there was no change observed in eupnea or sighs during the second exposure to severe hypoxia (n = 3, Fig. 2c).
P2Y1Rs are expressed by brainstem astrocytes71,73,75. We confirmed this finding using standard immunohistochemical staining and observed that P2Y1R puncta coincide with neuron (βIII Tubulin) and astrocyte (Aldh1l1) nuclei (Supplementary Fig. 2d).
Activation of the βAR by the agonist isoproterenol robustly stimulates sighs31 without activating eupnea, as does NE. Furthermore, activation of βARs leads to intracellular increases in Ca2+ through G-protein signaling and cAMP-mediated PKA activation64. Thus, we hypothesized that intracellular Ca2+ increases in astrocytes stimulate the release of ATP to drive purinergic signaling, stimulating preBötC neurons to generate sighs. Therefore, we tested pharmacological activation of Ca2+ signaling in astrocytes using the peptide TFLLR-NH2 in slices of the preBötC (Fig. 3a). This drug triggers intracellular Ca2+ elevations by activation of the PAR-1 receptor (thrombin protease-activated receptor-1), which is highly expressed by astrocytes76,77,78,79. Our results revealed an increase in sigh frequency with no change in eupnea upon application of 5 μM TFLLR-NH2 (n = 7), indicating that increases in intracellular Ca2+ in astrocytes could facilitate the observed increase in sigh frequency (Fig. 3a).
Isoproterenol increases preBötC astrocyte calcium activity
Next, we asked if transmission of Ca2+ activity among preBötC astrocytes coincides with sigh generation. We performed 2-photon imaging of astrocytes in preBötC slices using transgenic mouse lines Aldh1l1Cre;Rosa26LCKGCaMP6s and Aldh1l1Cre;TIGREAi162 (Fig. 3, Supplementary Fig. 3). All strains exhibited similar responses to isoproterenol. Aldh1l1Cre;Rosa26LCKGCaMP6s slices had small, cytoplasmic localized Ca2+ activity (referred to as Ca2+ ‘sparks’), while Aldh1l1Cre;TIGREAi162 astrocyte activity was observed in soma as well as in processes. Astrocytes within the preBötC and surrounding areas frequently exhibited rhythmic Ca2+ transients (Fig. 3c, Supplementary Fig. 3a–f). We observed variations of Ca2+ fluctuations in astrocytic end feet surrounding blood vessels, small Ca2+ sparks, whole cell Ca2+ bursts, and Ca2+ waves that extended across multiple cells.
When compared to baseline, isoproterenol increased astrocytic Ca2+ activity in 3 of 7 slices (mean 25% increase in ROI activity) as measured by the percent difference in the standard deviation of the Ca2+ signal (Fig. 3b–d). During baseline two-photon recordings, 13% (±8.6% S.D) of astrocytic ROIs per slice (nslices=7) exhibited periodic Ca2+ activity (Supplementary Fig. 3f). Furthermore, the percentage of rhythmic ROIs did not significantly change in the presence of 20 μM isoproterenol (15 ± 7% S.D, p = 0.55 paired t-test, Supplementary Fig. 3f).
To determine if the periodicity of astrocytic Ca2+ activity is temporally related to sighs, we computed the sigh-triggered average for each ROI obtained from two slices. We performed a paired t-test between the mean Ca2+ signal in a window before and after sigh onset, using window sizes of 1, 2, 5, and 10 s. P-values for all tested window sizes returned uniform distributions, indicating there is no strict temporal correlation between astrocyte Ca2+ activity and sighs (Supplementary Fig. 3e). After Bonferroni correction, only a singular ROI exhibited statistically significant changes in activity relative to sigh onset. Based on the rarity of a strict phasic association between astrocytic Ca2+ transients and the occurrence of sigh rhythmic activity, we hypothesize that sigh activity is an emergent property involving neuroglia interactions which is not dictated by a consistent phase-specific activation of sigh glia or neurons.
Activation of preBötC astrocytes drives sighing behavior
To further investigate the potential role of astrocytes in sigh generation, we tested whether selective manipulation of astrocytes80,81 would be sufficient to affect eupnea and sigh activity. In brainstem preBötC slices from Aldh1l1Cre;Rosa26ChR2:EYFP mice, we found that brief (200 ms, 0.5 mW/mm2) light pulses reliably evoked both eupnea and sigh bursts recorded from the contralateral preBötC in 12/25 slice preparations (Fig. 4a, b). In the remaining slices, longer duration or higher intensity light pulses were effective in evoking eupnea and sigh bursts. Sighs evoked by photoactivation of Aldh1l1-expressing cells were indistinct from spontaneous sighs in burst amplitude and post-burst interval (Fig. 4a). However, the duration of evoked sigh bursts was shorter relative to spontaneous sighs, which could be explained by the increased number of monophasic sighs (Fig. 4b). These experiments suggest that Aldh1l1 astrocytes are sufficient to initiate both sigh and eupneic bursts that are largely indistinguishable from spontaneously occurring activities.
Blocking P/Q-type Ca2+ channels inhibits sighs42, and P/Q type (CaV2.1) knockout mice do not generate sighs in vitro or in vivo and ultimately die of atelectasis41. A similar selective inhibition of spontaneous sighing is observed following the administration of low concentrations of the general Ca2+ channel blocker Cd2+ 30,82. Therefore, 4 μM Cd2+ was applied prior to optogenetic stimulations to test how suppression of Ca2+ channel activity would affect the ability of astrocytes to induce sighs (Fig. 4c, d, Supplementary Fig. 4a). In Cd2+, only 4.7% of stimulations (compared to 24.1% at baseline) evoked a sigh-like burst, and those that did occur had characteristics that differed from sighs evoked under control conditions. The amplitude of these “sigh attempts” in Cd2+ was significantly reduced relative to control sighs but remained slightly larger than evoked eupnea. The duration of sigh attempts in Cd2+ was statistically indistinct from eupnea duration. Moreover, sigh attempts in Cd2+ lacked an extended post-burst interval (“post-sigh apnea”) that is characteristic of normal sighs (Fig. 4d).
We also tested if the P2Y1R antagonist MRS2279 would affect the ability of astrocytes to drive sighing (Fig. 4c, d, Supplementary Fig. 4a). Following P2Y1R inhibition, we observed sigh attempts similar to what we observed in Cd2+. Consistent with evoked sigh attempts observed in Cd2+, sigh attempts in MRS2279 were smaller in amplitude than baseline sighs and had burst durations similar to evoked eupnea. However, post-burst intervals after sigh attempts in MRS2279 remained longer than those after eupnea (Fig. 4d). Collectively, these data indicate that P2Y1R- and Ca2+-dependent signaling are important mechanisms that allow astrocytes to drive sighing activity in the preBӧtC.
Next, we asked if light activation of astrocytes in vivo would have the same effect on sigh modulation (n = 9). Indeed, we found that there was a higher probability of evoking sighs in vivo than in vitro (Fig. 4d, Supplementary Fig. 4d), and in general, sigh characteristics similarly matched in vitro data. Evoked sighs in vivo could be unambiguously distinguished from eupnea by characterizing the diaphragm amplitude (Fig. 4g). Notably, evoked eupnea in simultaneous recordings of the hypoglossal nerve (XII) tended to be larger in amplitude than spontaneous eupnea, which made distinguishing sighs from eupnea more difficult based solely on XII recordings (Supplementary Fig. 4d).
Interestingly, MRS2279 bilaterally injected into the preBötC in vivo was less effective in completely blocking spontaneous or evoked sighs (n = 3/6, Supplementary Fig. 4c, d), contrary to the very reliable inhibitory effect observed in vitro (Fig. 4b). This may not be surprising given that numerous descending inputs that are present in vivo and endogenously modulate sighs83 including bombesin-like peptides39 and noradrenergic inputs31 will likely reduce the ability to block sighs by purinergic mechanisms in vivo. Corresponding to this variability, we observed a higher probability of evoked burst failures altogether in the presence of MRS2279 (Supplementary Fig. 4d). This weaker stimulation corroborates the control of sighs from outside areas39, which are eliminated from in vitro slice experiments. Following in vivo experiments, animals were perfused, fixed, embedded and imaged to confirm the location of injection sites was specific to the preBötC (Supplementary Fig. 4e). To verify Aldh1l1cre transgenic lines were specific to astrocytes, we immunostained preBötC slices with neuronal stain NeuN. No crossover between Aldh1l1cre/Rosa26eYFP and NeuN was observed (Supplementary Fig. 4f). To further verify the specificity of Aldh1l1 astrocytic marker, we confirmed specificity using fluorescence in site hybridization (FISH) and observed no overlap between Aldh1l1 and NeuN probes (Supplementary Fig. 4g).
Our data indicate that sighs are an emergent property involving local neuroglial interactions mediated by purinergic signaling and modulatory inputs intrinsic and extrinsic to the preBötC.
Discussion
An explanation for how the preBӧtC generates two temporally distinct rhythms has proven elusive. Studies attempting to unravel the mechanisms of sigh generation have proposed the existence of two neuronal subnetworks within the preBötC84, suggesting that a small (5%) population of sigh-only neurons30,85 may generate the sigh rhythm based on slow intracellular Ca2+ oscillations. However, these sigh-specific neurons do not continue to burst after blocking glutamatergic and glycinergic transmission30. Moreover, the published computational model84 requires inhibitory synaptic input to generate the characteristic biphasic sigh bursts, whereas our data shows that inhibition is not required for sigh generation. This concept is consistent with recordings from embryonic brainstem84 and P0 neonatal29 slice preparations85; however, our results suggest that neither the biphasic sigh shape nor sigh generation is dependent on inhibitory interactions.
Similar molecular cascades and neuroglial interactions may generally affect respiratory rhythm generation51,54,62,86,87,88 while specifically determining the sigh periodicity. Such mutual interactions could explain the differential roles of neurotransmission and glial modulation of sighs versus normal respiratory activity. For example, different distributions of metabotropic glutamate receptors on glia89 and neurons could explain the strikingly different metabotropic responses observed for eupnea and sighs42. In the case of sigh-specific β-adrenergic modulation31, glia and neurons may possess the relevant modulatory receptors. Indeed, our experiments show that the purinergic P2Y1R antagonist completely blocked both spontaneously occurring and neuromodulator-evoked sighs with the β-adrenergic agonist isoproterenol (Fig. 2b). Significantly, we found that while P2Y1R agonists and antagonists strongly modulated the sigh, they did not significantly alter the eupneic frequency (Fig. 2a). Increases in intracellular Ca2+ in preBötC astrocytes driven by hypoxia results in release of ATP, concurrent activation of ATP binding to P2Y1R on neighboring astrocytes, and simultaneous binding of ATP to neuron-specific P2Y1Rs to stimulate neuronal activity71,74,90 and consequently could result in increased neuronal recruitment to generate a sigh burst. Our Immunostaining is suggestive of glial and neuronal expression of P2Y1Rs in the preBötC (Supplementary Fig. 2d). Thus, further exploration of the specific mechanisms that result in bi-directional neuro- and glial activation during the sigh needs to be explored.
We found that sigh frequency was strongly dependent on P2Y1Rs, as the P2Y1R antagonist strongly blocked the occurrence of sighs. Interestingly, the application of the P2Y1R agonist increased the frequency of sighs but was not as effective as β-adrenergic modulation and showed more slice-to-slice variability. Furthermore, the P2Y1R antagonist was still able to block the β-adrenergic increase in sighs (Fig. 2b). Neither the purinergic agonist nor antagonist had any significant effect on the eupneic rhythm, which is interesting given that others have reported an increase in respiratory frequency with P2Y1R modulation74,90. These modulatory effects suggest that sigh emergence in the preBötC is governed by interactions between P2Y1Rs on astrocytes that drive the recruitment of neurons expressing β-adrenergic receptors or other receptors that strongly modulate sigh frequency (e.g., oxotremorine, substance P). Furthermore, a mechanism that supports sigh rhythmogenesis through neuroglial interactions in the preBӧtC follows previously identified purinergic mechanisms in both the respiratory networks67,91,92,93,94 and in other brain areas that coordinate the hypoxic response, such as the carotid bodies95. Given that an important physiological role of sighs is to maintain adequate available lung capacity and act as an arousal mechanism in response to hypoxia8, a role for O2 and CO2-sensitive glia in coordinating this activity is plausible. Purinergic activation plays a critical role in potentiating inspiratory synaptic inputs, glutamatergic currents, and persistent inward currents in XII motoneurons. Consequently, a loss of purinergic modulation may contribute to state-dependent reductions in XII motoneuron excitability96. It is also worth noting that sighs are typically activated during transitions into sleep97, which may also be associated with changes in O2, and, consequently, purinergic signaling. Sighs are very sensitive to changes in central PO2, as the preBötC responds reliably with the generation of sighs during hypoxic episodes29,98. The link with astrocytes, as proposed in the present study, provides a possible explanation for the underlying cellular sequence. Physiological decreases in PO2 inhibit glial mitochondrial respiration, which in turn causes mitochondrial depolarization, activation of phospholipase C, IP3 receptors and release of Ca2+ from intracellular stores, which then triggers the fusion of vesicular compartments and the release of ATP50. According to the data presented here, this cascade could activate sighs. As we have shown, the blockade of P2Y1R inhibits transmission to the respiratory network and the cessation of sighs.
Since astrocytes in various metabolic states respond by increasing intracellular Ca2+50, and our preliminary model of the preBötC suggested sighs could be a result of slow Ca2+ oscillations, we hypothesized that sighing was dependent on the presence of a slow, sigh-linked calcium signal. Indeed, our preliminary experiments with the PAR-1 receptor agonist TFFLR-NH2 triggered a robust increase in sighs in slices of the preBötC (Fig. 3). While this drug purportedly triggers intracellular Ca2+ elevations through activation of PAR-1, expressed by astrocytes76,77,78,79, we followed these experiments by performing in vitro 2-photon Ca2+ imaging. While our results did not reveal a coordinated astrocytic Ca2+ oscillation time-locked with sighs, we found that β-adrenergic modulation of preBötC slices leads to an overall increase in Ca2+ transients. Interestingly, astrocytes that were responsive to β-adrenergic modulation did not have any clear patterned, rhythmic activity corresponding to sighs. Furthermore, calcium transients appeared to occur throughout cell bodies and or processes but appeared as ‘sparks’ of activity rather than coordinated waves. Different types of Ca2+ activity in astrocytes could be representative of astrocyte heterogeneity. A heterogeneous glial response, similar to what we observed experimentally, corresponds with what is currently known of astrocyte function in the medulla49,62,63,71,86,99. The functional diversity of astrocytes may bear resemblance to the variety of neuronal subtypes found in the medullary respiratory groups. This location-specific sensitivity may reflect astrocyte channel expression (e.g., pH-sensitive TASK channels)100,101,102, connexin/pannexins103,104,105, purinergic receptors71,73,74,91,92,94,106 or the type of gliotransmitter released (e.g., d-serine release63). In other brain regions, specialized glia cells have been reported for the generation of the circadian rhythm56,107,108, where rhythmic occurrences of glia-specific enzymes have been described to alter the circadian rhythm108,109,110.
The heterogeneity of astrocytic subtypes is generally based on their sensitivity to hypoxia or hypercapnia and reflects a compartmentalized view of astrocytic function, where astrocyte function is regionally specific. However, studies have suggested that this response may be more distributed along the ventral surface of the medulla, as is described with D-serine release from astrocytes along the ventral medulla and raphe nucleus in response to CO263. It follows that the sigh as an emergent network property is consistent with the idea that the preBötC is organized in a column and can be reconfigured depending on metabolic requirement32. Indeed, sigh bursts propagate farther rostral from the preBötC center than eupneic bursts32. Determining the extent of different neuronal populations or purportedly sigh-only neurons that perhaps express sigh-specific receptors will enhance our understanding of how neural activity is recruited along the column, and how functional astrocyte heterogeneity may contribute.
The hypothesis that glia contribute to both eupnea and sigh activities is further supported by optogenetic experiments where we show that ChR2 activation of preBӧtC astrocytes results in both eupneic and sigh bursts. This finding has been previously corroborated by others with DREADD upregulation of astrocyte activity, thereby altering the eupneic rhythm47. These optogenetic experiments will facilitate further research to determine the specificity of receptors that enhance sigh rhythmogenesis, and whether they reside on neurons or glia. For example, as muscarinic receptors activate the sigh rhythm while inhibiting the eupneic rhythm30, one would predict that astrocytes and a subset of ‘sigh-only’ neurons may selectively express muscarinic receptors. In cadmium, we observed that the secondary augmented component of the sigh is absent, along with the extended expiratory duration (‘post-sigh apnea’). The absence of this long expiratory time could be explained by the dynamics of the refractory period22, where the recruited population driving synaptic activity is pre-synaptically inhibited by cadmium, and therefore the next burst is able to occur much sooner in the respiratory cycle. However, the augmented phase of the sigh could be largely driven by the recruitment of a larger population of inspiratory neurons through P/Q type Ca2+ channel activation, while sigh onset is driven by purinergic mechanisms. This is supported by our optogenetic experiments, where purinergic inhibition blocks the ability to evoke sighs. Furthermore, purinergic block reduces the augmented phase of the in vitro hypoxic response. However, further studies will be necessary to confirm these predictions. In optogenetic experiments, we found a large gradient in the strength of the response to the light stimulus. In 44% of slices, we were able to elicit a robust response (i.e., both eupnea and sighs were evoked with a 200 ms pulse applied contralaterally to the recording electrode). The remaining 55% of Aldh1l1creAi32 slices had varied responses, which included little to no response, response with an increased light pulse duration, or delayed responses occurring after cessation of the light pulse. We speculate that this variability could be a result of the insertion method used to generate the Aldh1l1cre strain, resulting in varied copy number altering expression strength when crossed with Ai32 transgenic mice. However, optogenetic manipulation of astrocytes in the literature is not thoroughly examined, and thus how membrane depolarization of astrocytes alters activity is not entirely clear. Gourine and colleagues have reported that optogenetic stimulation of astrocytes results in a pH decrease followed by ATP release, which fits well with our hypothesis of sigh generation in the preBötC51. A second study showed that optogenetic stimulation of astrocytes in the visual cortex resulted in the facilitation of EPSCs, which was blocked with metabotropic glutamate receptor1a antagonists. This could explain the strong facilitation of sighs by metabotropic glutamate receptor type 8 (mGluR8)42.
In conclusion, we propose that the generation of sighs is an emergent property of the preBötC network modulated by neuroglial interactions. These interactions seem to arise from glial, β-adrenergic activated Ca2+ transients that are relayed to respiratory neurons through purinergic signaling. The present study provides a conceptual framework that can be further tested experimentally in order to unravel how precise neuro- and glial modulators differentially affect breathing and sighing. It also serves as an example of the role glia play in coordinating the central component of the hypoxic response.
Methods
Animals
All experiments and animal procedures were approved by the Seattle Children’s Research Institute’s Animal Care and Use Committee and conducted in accordance with the National Institutes of Health guidelines (OLAW Animal Welfare Assurance number D16-00119). Male and female mice were selected randomly. Experiments were performed in brainstem slices obtained from wild-type CD1 or transgenic mice aged postnatal day 4–12 and bred at Seattle Children’s Research Institute. Aldh1l1cre mice were obtained from Jackson Laboratories (FVB-Tg (Aldh1l1-cre) JD1884Htz/J, Jax stock No. 023748). Cre mice were crossed with homozygous mice containing a floxed STOP channelrhodopsin-2 fused to an EYFP (B6.Cg-Gt(ROSA)26Sortm32(CAG-COP4*H134R/EYFP)Hze/J, Jax stock no. 024109) reporter sequence. All mice were group housed with access to food and water ad libitum in a temperature (22 ± 1 °C) and humidity (40–60%) controlled facility with a 12 h light/dark cycle.
In vitro transverse brainstem slice preparation and population recordings
The following techniques used are described in detail in a series of publications by the Ramirez laboratory42,45,111. PreBötC slice thickness varied between 590–610 μM. Animals were quickly decapitated, and brainstems were rapidly dissected in cold artificial cerebrospinal fluid (ACSF). Serial transverse slices were made from the appearance facial nerve until reaching the level of the preBӧtC, where a 580–610 μM slice was made. Slices were transferred into the recording chamber with circulating ACSF with osmolarity of 305–320 osm/L, pH 7.4 and containing (in mM) NaCl (118), KCl (3), CaCl2 (1.5), MgCl2 (1), NaHCO3 (25), NaH2PO4 (1), and D-glucose (30). Temperature was maintained at 29–31 °C, and ACSF was bubbled with carbogen (95% O2/5% CO2). During extracellular population recordings, the superfused ACSF was circulating and recycled at a flow rate of 10–13 ml/min. The activity was recorded from the caudal side of the transverse slice. Some experiments were performed with two slices at the same time using two extracellular electrodes. Extracellular raw traces were filtered and integrated. The data obtained were analyzed using GraphPad Prism 7 and PCLAMP 10 software which is available online at https://www.moleculardevices.com/products/axon-patch-clamp-system/acquisition-and-analysis-software/pclamp-software-suite. For unknown reasons, some preBӧtC slices do not have periodic sighs within the baseline recording period, or they occur at intervals >20 mins. These slices were not used for experiments. PreBötC slices were not used across multiple drug experiments.
In vivo anesthetized preparation
In vivo anesthetized experiments were performed as previously published22. Briefly, adult mice were anesthetized with urethane (1.5 mg/kg, i.p.) and placed supine on a custom surgical table. Adequate depth of anesthesia was determined via heart rate, breathing frequency, and response to toe pinch. Bipolar stainless steel electrodes were implanted in the diaphragm muscles to perform electromyographic recordings of inspiratory motor activities112. The trachea was exposed through a midline incision and cannulated caudal to the larynx with a curved (180°) tracheal tube (24G). The trachea and esophagus were removed rostral to the tracheotomy, and underlying muscles were removed to expose the basal surface of the occipital bone. Mice were supplied with 100% O2 throughout the remainder of the surgery and experimental protocol. The portion of the occipital bone and dura overlying the ventral medullary surface were removed, and the brainstem surface was perfused with aCSF (36 °C) equilibrated with carbogen (95% O2, 5% CO2). The hypoglossal nerve (XII) was then isolated unilaterally and recorded using a fire-polished pulled glass pipette filled with aCSF. XII electrical activity was amplified (10,000×), filtered (low pass 300 Hz, high pass 5 kHz), rectified, integrated, and digitized (Digidata 1550A, Axon Instruments). In animals in which we observed baseline sighs, MRS2279 (500 μM, 41.3nL) and Evan’s Blue dye or red fluorospheres were co-injected bilaterally in three positions around the preBötC using a NanoInject, as to avoid lesioning the preBötC core and altering the rhythm. In most instances, injections close to preBötC stimulated sighs immediately following placement of the cannula. Saline-injected control animals did not have any alterations in baseline breathing, and we observed the same increase in sighs in most injections (n = 4/5). Similar to in vitro experiments, many animals in vivo did not have baseline sighs, and therefore MRS2279 was not injected.
Optogenetics and pharmacology
A glass fiber optic (200 μm core, 0.24NA) connected to a blue (447 nm) high-powered laser was positioned above the preBötC contralateral to the extracellular electrode or XII nerve and positioned for maximal response. Power was set to 0.5 mW/mm2. Fifty continuous 20 s sweeps were recorded for each stimulation experiment in vitro, and 20 sweeps for in vivo experiments. Power settings and pulse width were selected based on previous experiments11,32. In approximately 1/3 of Aldh1l1cre/Ai32 preBötC slices, we had difficulty evoking any responses unless increasing the wavelength to a higher laser power (>0.5 mW/mm2- 1 mW/mm2). Despite having robust respiratory rhythms, we did not continue to perform stimulations in these slices. Control stimulations were performed in Aldh1l1cre-/-/Ai32 littermates for in vitro (n = 2) and adults for in vivo (n = 3) experiments. There were no observed non-specific effects of optogenetic stimulation, even at maximum power.
Norepinephrine (1–40 μM, DL-Norepinephrine hydrochloride, cat. A7256), Isoproterenol (Isoprenaline hydrochloride, cat. I5627), Strychnine (1 μM, cat. S0532), and cadmium (4 μM cadmium chloride, cat. 20208) were purchased from Sigma. Gabazine (1 μM, SR 99531 hydrobromide, cat. 1262), MRS2279 (20 μM, P2Y1R antagonist, cat. 2158,), MRS2365 (20 μM, P2Y1R agonist, cat. 2157) and TNP-ATP triethylammonium salt (20 μM, P2X receptor antagonist, cat. 2464) were obtained from Tocris. All drugs were diluted in water.
Calcium imaging
All Ca2+ imaging was performed in p4-p13 postnatal pups from transgenic mice (Aldh1l1cre/R26Lck, Aldh1l1cre/TIGREAi162) in the transverse preBötC slice preparation as above. Imaging was performed on a Bruker Ultima Investigator two-photon microscope with a 20x NA = 1.0 objective (Olympus XLUMPlanFL N) and a 920 nm laser (MaiTai DeepSee HP 10040 S Spectra-Physics). Slices were adhered to raised plastic grid and continuously perfused with aCSF bubbled with carbogen as described above. Large bore glass electrodes were used to record population activity from the preBötC. Then, 512 × 512-pixel images were collected in galvanometer control mode (0.8 frames per second, n = 6; 7.4 frames per second, n = 1) or resonance galvanometer control mode (29.7 frames per second, n = 2). Images were collected such that the lateral ventral edge of the slice was just visible in the corner of the field of view (~580 × 580-micron FOV). Calcium imaging data was collected using Prairie View vs. 5.5. Images were motion corrected with Suite2P (vs. 0.12.0)113. For images collected in galvanometer mode, ROIs were hand drawn and extracted in ImageJ; for images collected in resonance galvanometer mode (29.7 fps), ROIs were automatically detected by Suite2P. All fluorescence signals were extracted and neuropil corrected by Suite2p. We then processed all neuropil-corrected fluorescence signals as z-scores: \({F}_{z}=\frac{F-\bar{F}}{{\sigma }_{F}}\) and performed all subsequent analyses using the z-scored fluorescence signal. For signals acquired in resonance galvanometer mode (29.7 fps), we performed a 10-sample centered moving average smoothing. To determine the change in astrocyte Ca2+ activity elicited by bath application of 20 μM isoproterenol, we computed the standard deviation of each preprocessed Ca2+ signal in a 5-min time window at the beginning of a recording (baseline), and a 5-min time window immediately after addition of isoproterenol to the bath. We computed the standard deviation of the trace in those time windows and computed the percent difference between these standard deviations as: \(100\cdot \frac{{{\sigma }_{{isoproteronol}}-\sigma }_{{baseline}}}{{\sigma }_{{baseline}}}\). Rhythmic ROIs were detected by first performing an autocorrelation on the z-scored Ca2+ fluorescence trace (python statsmodels package) and computing the 95% confidence interval (CI) for that autocorrelation. We then considered an ROI rhythmic if a peak in the autocorrelation is detected such that the upper bound of the autocorrelation CI first drops below zero, followed by the lower bound of the CI crossing above zero. If this occurred, the ROI was considered rhythmic, and the time lag and strength of that autocorrelation were extracted.
Histology
After experiments, animals were fixed by transcardial perfusion with cold ACSF followed by 4% PFA in phosphate buffer solution (PBS). Medullary and cortical tissue was carefully extracted and equilibrated in graded sucrose solutions to a final concentration of 30%, embedded in OCT solution, frozen at −80 °C, and cryosectioned at 25 μm for imaging of immunofluorescence. Tissue processed in this way was suitable for imaging of immunofluorescence. Brains used in fluorescence in situ hybridization (FISH) experiments were freshly dissected, flash frozen in isopentane, mounted with OCT solution, and cryosectioned at 25 μm. Slides containing brainstem tissue slices were washed 3 × 10 min in PBS. Tissue slices were then permeabilized and blocked with 1% normal donkey serum in 0.5% Triton X-100/PBS for 1 h. Following blocking, tissue slices were incubated with the primary antibody for either NeuN (clone A60, Millipore MAB377, 1:1000), BIII Tubulin (Abcam ab18207, 1:1000), Aldh1l1 (ab87117, 1:500), or P2Y1 (Abcam ab140859, 1:500) in 1% normal donkey serum in 0.5% Triton X-100/PBS overnight. After primary antibody incubation, tissue was washed 3 × 10 min in phosphate buffer solution (PBS), followed by secondary antibody incubation for 30 min (Alexa Fluor 488, Invitrogen a21206, donkey anti-rabbit IgG (H+L), Alexa Fluor 594, Invitrogen a21203 donkey anti-mouse IgG (H+L), or Alexa Fluor 647, Molecular Probes a31573 donkey anti-rabbit IgG (H+L), all 1:500 dilution). Lastly, tissue was washed 3 × 10 min in PBS and hard-set mounted (VECTASHIELD hardset mounting media with DAPI). Immunofluorescence images were acquired using an Olympus VS120 Virtual Slide Microscope Scanner. The excitation/emission filter sets used for imaging were DAPI: 380-405/410-480, FITC: 460-490/500-550, Cy3/TRITC: 540-570/580-640, and Cy5: 625-645/655-705. Laser scanning confocal imaging was performed using a Zeiss 710 34-channel Quasar LSC Microscope. FISH was performed with the RNAscope Multiplex Fluorescent V2 kit, according to the manufacturer’s instructions (Advanced Cell Diagnostics). The mouse probes used included: Aldh1l1 (catalog #405891), Rbfox3 (catalog #313311-C2), P2ry1 (catalog #406061-C3) and were used at 1:50.
Sigh classification
Large amplitude eupneic bursts can be mistaken for sigh bursts, in particular in slices that show irregular rhythmicity with variable levels of synchrony among respiratory neurons and variable amplitude of eupneic activity, or in slices that show burstlet activity intermixed with synchronized eupneic bursts. Thus, we only characterized slices that showed regular well-synchronized eupneic and sigh activity to avoid any ambiguity. Moreover, custom unsupervised methods were developed to distinguish between eupneic bursts and “sigh attempts” evoked by channelrhodopsin stimulation in in vitro recordings. First, bursts in the integrated preBötC recording were detected such that the prominence of each peak was greater than 2.5 times the standard deviation of the integrated activity. The onset of the burst was defined as the time at which the trace reached 20% of the subsequent peak height. Bursts that were aberrantly large amplitude (~>75 times the mean amplitude) or very fast rising (reached peak amplitude in less than 150 ms) were discarded as noise. The burst shape for all bursts was extracted from the onset to 1.5 s after the onset of the burst. Burst shapes were then decomposed into principal components. The first n components (where n is the number of components needed to explain 95% of the variance) of the spontaneous bursts (i.e., not evoked by optogenetic stimulation) were used as features to fit a robust covariance estimator (sci-kit learn MinCovDet). Since the spontaneous bursts were never putative sighs, this covariance represents the prior distribution of eupnea, that is, the expected eupneic shape. We calculate the Mahalnobis distance (D) of each burst to the mean eupneic shape. D quantifies how similar each burst is to the “average” eupnea. We then determine a threshold as:
All evoked bursts where \({D}_{{evoked}} > {D}_{{thresh}}\) were considered outliers. This outlier detection included many false positive bursts in which the burst shape was different from the average eupnea, but upon inspection, it was not typical of a sigh (often long slow bursts or large amplitude noise). We boost this outlier detection with an identical method using instead the intuitive features of burst amplitude, full width at half max (FWHM) and time to next burst (post-burst apnea) as features to the covariance estimator. A burst was considered a sigh attempt when it was determined to be an outlier in both the classifier fit on burst shape and on the intuitive features. We imposed a set of final criteria where a sigh attempt must be larger in amplitude than 90% of the spontaneous bursts. To classify sighs in in vivo recordings, diaphragm EMG was recorded, rectified, and integrated as described above. Bursts in the integrated diaphragm EMG were detected, and each burst shape was extracted. The area under the curve was computed for each burst. Bursts were labeled as “sighs” if both the area under the curve and the amplitude for a given sigh were >6x the median absolute deviation (MAD) of the 20 bursts preceding and following the given burst.
Statistical analysis
Analyses were performed using GraphPad Prism 9 and custom Python software. Groups were compared using paired two-tailed t-tests or ordinary one-way or ANOVAs followed by Bonferroni’s post hoc tests, if necessary. Statistical significance was set at α = 0.05. Data are presented as means ± SE. Masking was not used during data collection or analysis.
Caveats and limitations
The use of transverse preBötC slices as a model for respiratory rhythm generation is associated with significant caveats of which oxygenation114, incomplete network, low temperature, elevated [K+] saline are the most obvious concerns, and have been discussed in most of our publications29,45,66,114,115. Although transverse slices generate rhythmicity in 3 mM K+37,116,117, rhythmicity is more reliable and consistently generated at 8 mM K+. Thus, in the present study, we consistently use the extracellular concentration of 8 mM K+. To distinguish the fast-respiratory rhythm from the slow sigh rhythm, we refer to the fast-respiratory rhythm as “eupneic” activity throughout this study. However, we do not imply that this in vitro activity represents “eupnea” in the behavioral sense since slices are not connected to respiratory motor output. Rather this activity characterizes primarily the inspiratory component of the respiratory activity generated within the preBötC25,29,118. Furthermore, sighs were characterized based on their appearance in the in vivo preparation and were carefully distinguished using a custom pipeline aimed at reducing bias. However, in vivo recordings should involve increased diaphragm activity along with the characteristics observed in sighs, and thus in vitro work is limited in this sense. In our analysis, we did not consider doublets of eupneic activity to be sighs.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Data availability
The raw data presented in all figures of this manuscript are available upon request. Source data are provided with this paper.
Code availability
The source code presented in all figures of this manuscript is available upon request.
References
Zhong, W. et al. Selective entrainment of gamma subbands by different slow network oscillations. Proc. Natl Acad. Sci. USA 114, 4519–4524 (2017).
Tort, A. B. L., Brankack, J. & Draguhn, A. Respiration-entrained brain rhythms are global but often overlooked. Trends Neurosci. 41, 186–197 (2018).
Heck, D. H. et al. Breathing as a fundamental rhythm of brain function. Front. Neural Circuits 10, 115 (2016).
Heck, D. H., Kozma, R. & Kay, L. M. The rhythm of memory: how breathing shapes memory function. J. Neurophysiol. 122, 563–571 (2019).
Yanovsky, Y., Ciatipis, M., Draguhn, A., Tort, A. B. & Brankack, J. Slow oscillations in the mouse hippocampus entrained by nasal respiration. J. Neurosci. 34, 5949–5964 (2014).
Tort, A. B. L. et al. Parallel detection of theta and respiration-coupled oscillations throughout the mouse brain. Sci. Rep. 8, 6432 (2018).
Nguyen Chi, V. et al. Hippocampal respiration-driven rhythm distinct from theta oscillations in awake mice. J. Neurosci. 36, 162–177 (2016).
Ramirez, J. M. The integrative role of the sigh in psychology, physiology, pathology, and neurobiology. Prog. Brain Res. 209, 91–129 (2014).
Vlemincx, E. et al. Why do you sigh? Sigh rate during induced stress and relief. Psychophysiology 46, 1005–1013 (2009).
Vlemincx, E., Meulders, M. & Luminet, O. A sigh of relief or a sigh of expected relief: sigh rate in response to dyspnea relief. Psychophysiology 55, e12979 (2018).
Baertsch, N. A. & Ramirez, J. M. Insights into the dynamic control of breathing revealed through cell-type-specific responses to substance P. Elife 8, e51350 (2019).
Smith, J. C., Ellenberger, H. H., Ballanyi, K., Richter, D. W. & Feldman, J. L. Pre-Bötzinger complex: a brainstem region that may generate respiratory rhythm in mammals. Science 254, 726–729 (1991).
Ramirez, J. M., Schwarzacher, S. W., Pierrefiche, O., Olivera, B. M. & Richter, D. W. Selective lesioning of the cat pre-Botzinger complex in vivo eliminates breathing but not gasping. J. Physiol. 507, 895–907 (1998).
Gray, P., Janczewski, W., Mellen, N., McCrimmon, D. & Feldman, J. Normal breathing requires preBötzinger complex neurokinin-1 receptor-expressing neurons. Nat. Neurosci. 4, 927–930 (2001).
McKay, L. C. & Feldman, J. L. Unilateral ablation of pre-Botzinger complex disrupts breathing during sleep but not wakefulness. Am. J. Respir. Crit. Care Med. 178, 89–95 (2008).
Tan, W. et al. Silencing preBötzinger complex somatostatin-expressing neurons induces persistent apnea in awake rat. Nat. Neurosci. 11, 538–540 (2008).
Pace, R. W., Mackay, D. D., Feldman, J. L. & Del Negro, C. A. Role of persistent sodium current in mouse preBötzinger Complex neurons and respiratory rhythm generation. J. Physiol. 580, 485–496 (2007).
Koch, H. et al. Prostaglandin E2 differentially modulates the central control of eupnoea, sighs and gasping in mice. J. Physiol. 593, 305–319 (2015).
Chevalier, M., Toporikova, N., Simmers, J. & Thoby-Brisson, M. Development of pacemaker properties and rhythmogenic mechanisms in the mouse embryonic respiratory network. Elife 5, e16125 (2016).
Yamanishi, T., Koizumi, H., Navarro, M. A., Milescu, L. S. & Smith, J. C. Kinetic properties of persistent Na+ current orchestrate oscillatory bursting in respiratory neurons. J. Gen. Physiol. 150, 1523–1540 (2018).
Del Negro, C. A. & Hayes, J. A. A ‘group pacemaker’ mechanism for respiratory rhythm generation. J. Physiol. 586, 2245–2246 (2008).
Baertsch, N. A., Baertsch, H. C. & Ramirez, J. M. The interdependence of excitation and inhibition for the control of dynamic breathing rhythms. Nat. Commun. 9, 843 (2018).
Butera, R. J. Jr., Rinzel, J. & Smith, J. C. Models of respiratory rhythm generation in the pre-Botzinger complex. I. Bursting pacemaker neurons. J. Neurophysiol. 82, 382–397 (1999).
Dunmyre, J. R., Del Negro, C. A. & Rubin, J. E. Interactions of persistent sodium and calcium-activated nonspecific cationic currents yield dynamically distinct bursting regimes in a model of respiratory neurons. J. Comput. Neurosci. 31, 305–328 (2011).
Carroll, M. S. & Ramirez, J. M. Cycle-by-cycle assembly of respiratory network activity is dynamic and stochastic. J. Neurophysiol. 109, 296–305 (2013).
Carroll, M. S., Viemari, J. C. & Ramirez, J. M. Patterns of inspiratory phase-dependent activity in the in vitro respiratory network. J. Neurophysiol. 109, 285–295 (2013).
Rybak, I. A., Molkov, Y. I., Jasinski, P. E., Shevtsova, N. A. & Smith, J. C. Rhythmic bursting in the pre-Botzinger complex: mechanisms and models. Prog. Brain Res. 209, 1–23 (2014).
Yang, C. F. & Feldman, J. L. Efferent projections of excitatory and inhibitory preBotzinger Complex neurons. J. Comp. Neurol. 526, 1389–1402 (2018).
Lieske, S., Thoby-Brisson, M., Telgkamp, P. & Ramirez, J. Reconfiguration of the neural network controlling multiple breathing patterns: eupnea, sighs and gasps. Nat. Neurosci. 3, 600–607 (2000).
Tryba, A. K. et al. Differential modulation of neural network and pacemaker activity underlying eupnea and sigh-breathing activities. J. Neurophysiol. 99, 2114–2125 (2008).
Viemari, J.-C., Garcia, A. J. III, Doi, A., Elsen, G. & Ramirez, J.-M. β-noradrenergic receptor activation specifically modulates the generation of sighs in vivo and in vitro. Front. Neural Circuits 7, 179 (2013).
Baertsch, N. A., Severs, L. J., Anderson, T. M. & Ramirez, J. M. A spatially dynamic network underlies the generation of inspiratory behaviors. Proc. Natl Acad. Sci. USA 116, 7493–7502 (2019).
Perez-Padilla, R., West, P. & Kryger, M. H. Sighs during sleep in adult humans. Sleep 6, 234–243 (1983).
Eiselt, M., Curzi-Dascalova, L., Leffler, C. & Christova, E. Sigh-related heart rate changes during sleep in premature and full-term newborns. Neuropediatrics 23, 286–291 (1992).
Alvarez, J. E. et al. Sighs and their relationship to apnea in the newborn infant. Biol. Neonate 63, 139–146 (1993).
Saito, H. et al. Tissue hypoxia in sleep apnea syndrome assessed by uric acid and adenosine. Chest 122, 1686–1694 (2002).
Ruangkittisakul, A. et al. Generation of eupnea and sighs by a spatiochemically organized inspiratory network. J. Neurosci. 28, 2447–2458 (2008).
Ballanyi, K. & Ruangkittisakul, A. Structure-function analysis of rhythmogenic inspiratory pre-Botzinger complex networks in “calibrated” newborn rat brainstem slices. Respir. Physiol. Neurobiol. 168, 158–178 (2009).
Li, P. et al. The peptidergic control circuit for sighing. Nature 530, 293–297 (2016).
Souza, G. et al. Breathing regulation and blood gas homeostasis after near complete lesions of the retrotrapezoid nucleus in adult rats. J. Physiol. 596, 2521–2545 (2018).
Koch, H. et al. Stable respiratory activity requires both P/Q-type and N-type voltage-gated calcium channels. J. Neurosci. 33, 3633–3645 (2013).
Lieske, S. & Ramirez, J. Pattern-specific synaptic mechanisms in a multifunctional network. II. Intrinsic modulation by metabotropic glutamate receptors. J. Neurophysiol. 95, 1334–1344 (2006).
Peña, F. & Ramirez, J.-M. Endogenous activation of serotonin-2A receptors is required for respiratory rhythm generation in vitro. J. Neurosci. 22, 11055–11064 (2002).
Peña, F. & Ramirez, J. M. Substance P-mediated modulation of pacemaker properties in the mammalian respiratory network. J. Neurosci. 24, 7549–7556 (2004).
Peña, F., Parkis, M. A., Tryba, A. K. & Ramirez, J. M. Differential contribution of pacemaker properties to the generation of respiratory rhythms during normoxia and hypoxia. Neuron 43, 105–117 (2004).
Ramirez, J. M. et al. The cellular building blocks of breathing. Compr. Physiol. 2, 2683–2731 (2012).
Sheikhbahaei, S. et al. Astrocytes modulate brainstem respiratory rhythm-generating circuits and determine exercise capacity. Nat. Commun. 9, 370 (2018).
Schnell, C., Negm, M., Driehaus, J., Scheller, A. & Hulsmann, S. Norepinephrine-induced calcium signaling in astrocytes in the respiratory network of the ventrolateral medulla. Respir. Physiol. Neurobiol. 226, 18–23 (2016).
Turovsky, E. et al. Mechanisms of CO2/H+ sensitivity of astrocytes. J. Neurosci. 36, 10750–10758 (2016).
Angelova, P. R. et al. Functional oxygen sensitivity of astrocytes. J. Neurosci. 35, 10460–10473 (2015).
Gourine, A. V. et al. Astrocytes control breathing through pH-dependent release of ATP. Science 329, 571–575 (2010).
Erlichman, J. S. & Leiter, J. C. Glia modulation of the extracellular milieu as a factor in central CO2 chemosensitivity and respiratory control. J. Appl Physiol. 108, 1803–1811 (2010).
Erlichman, J. S., Leiter, J. C. & Gourine, A. V. ATP, glia and central respiratory control. Respir. Physiol. Neurobiol. 173, 305–311 (2010).
Schnell, C., Fresemann, J. & Hulsmann, S. Determinants of functional coupling between astrocytes and respiratory neurons in the pre-Botzinger complex. PLoS ONE 6, e26309 (2011).
Jackson, F., Ng, F., Sengupta, S., Yu, S. & Huang, Y. Glial cell regulation of rhythmic behavior. Methods Enzymol. 552, 45–73 (2015).
Jackson, F. Glial cell modulation of circadian rhythms. Glia 59, 1341–1350 (2011).
Nadkarni, S. & Jung, P. Modeling synaptic transmission of the tripartite synapse. Phys. Biol. 4, 1–9 (2007).
Amiri, M., Hosseinmardi, N., Bahrami, F. & Janahmadi, M. Astrocyte- neuron interaction as a mechanism responsible for generation of neural synchrony: a study based on modeling and experiments. J. Comput. Neurosci. 34, 489–504 (2013).
Burgraff, N. J., Bush, N. E., Ramirez, J. M. & Baertsch, N. A. Dynamic rhythmogenic network states drive differential opioid responses in the in vitro respiratory network. J. Neurosci. 41, 9919–9931 (2021).
Borrus, D. S., Grover, C. J., Conradi Smith, G. D. & Del Negro, C. A. Role of synaptic inhibition in the coupling of the respiratory rhythms that underlie eupnea and sigh behaviors. eNeuro 7, ENEURO.0302-19.2020 (2020).
Wenker, I., Kréneisz, O., Nishiyama, A. & Mulkey, D. Astrocytes in the retrotrapezoid nucleus sense H+ by inhibition of a Kir4.1-Kir5.1-like current and may contribute to chemoreception by a purinergic mechanism. J. Neurophysiol. 104, 3042–3052 (2010).
Forsberg, D., Ringstedt, T. & Herlenius, E. Astrocytes release prostaglandin E2 to modify respiratory network activity. eLIFE 6, e29566 (2017).
Beltrán-Castillo, S. et al. D-serine released by astrocyte in brainstem regulates breathing response to CO2 levels. Nat. Commun. 8, 838 (2017).
Vasudevan, N. T., Mohan, M. L., Goswami, S. K. & Naga Prasad, S. V. Regulation of beta-adrenergic receptor function: an emphasis on receptor resensitization. Cell Cycle 10, 3684–3691 (2011).
Vaidyanathan, T. V., Collard, M., Yokoyama, S., Reitman, M. E. & Poskanzer, K. E. Cortical astrocytes independently regulate sleep depth and duration via separate GPCR pathways. Elife 10, e63329 (2021).
Zanella, S. et al. When norepinephrine becomes a driver of breathing irregularities: how intermittent hypoxia fundamentally alters the modulatory response of the respiratory network. J. Neurosci. 34, 36–50 (2014).
Funk, G. D. Neuromodulation: purinergic signaling in respiratory control. Compr. Physiol. 3, 331–363 (2013).
Ramirez, J. M., Severs, L., Ramirez, S. C. & Agosto-Marlin, I. M. Advances in cellular and integrative control of oxygen homeostasis within the central nervous system. J. Physiol. 596, 3043–3065 (2018).
Rodrigues, R. J., Marques, J. M. & Cunha, R. A. Purinergic signalling and brain development. Semin. Cell Dev. Biol. 95, 34–41 (2019).
Del Puerto, A., Wandosell, F. & Garrido, J. J. Neuronal and glial purinergic receptors functions in neuron development and brain disease. Front. Cell. Neurosci. 7, 197 (2013).
Rajani, V. et al. Release of ATP by preBotzinger complex astrocytes contributes to the hypoxic ventilatory response via a Ca2+-dependent P2Y1 receptor mechanism. J. Physiol. 596, 3245–3269 (2018).
Chen, L. et al. KATP channels of parafacial respiratory group (pFRG) neurons are involved in H2S-mediated central inhibition of respiratory rhythm in medullary slices of neonatal rats. Brain Res. 1527, 141–148 (2013).
Rajani, V., Zhang, Y., Revill, A. & Funk, G. D. The role of P2Y1 receptor signaling in central respiratory control. Respir. Physiol. Neurobiol. 226, 3–10 (2016).
Lorier, A. R. et al. P2Y1 receptor modulation of the pre-Bötzinger complex inspiratory rhythm generating network in vitro. J. Neurosci. 27, 993–1005 (2007).
Funk, G. D. et al. Neuroglia and their roles in central respiratory control; an overview. Comp. Biochem. Physiol. A 186, 83–95 (2015).
Lee, C. J. et al. Astrocytic control of synaptic NMDA receptors. J. Physiol. 581, 1057–1081 (2007).
Shigetomi, E., Bowser, D. N., Sofroniew, M. V. & Khakh, B. S. Two forms of astrocyte calcium excitability have distinct effects on NMDA receptor-mediated slow inward currents in pyramidal neurons. J. Neurosci. 28, 6659–6663 (2008).
Gomez-Gonzalo, M. et al. An excitatory loop with astrocytes contributes to drive neurons to seizure threshold. PLoS Biol. 8, e1000352 (2010).
Carmignoto, G. & Haydon, P. G. Astrocyte calcium signaling and epilepsy. Glia 60, 1227–1233 (2012).
Tien, A. C. et al. Regulated temporal-spatial astrocyte precursor cell proliferation involves BRAF signalling in mammalian spinal cord. Development 139, 2477–2487 (2012).
Srinivasan, R. et al. New transgenic mouse lines for selectively targeting astrocytes and studying calcium signals in astrocyte processes in situ and in vivo. Neuron 92, 1181–1195 (2016).
Krause, K. L. et al. Normal breathing pattern and arterial blood gases in awake and sleeping goats after near total destruction of the presumed pre-Botzinger complex and the surrounding region. J. Appl Physiol. 106, 605–619 (2009).
Doi, A. & Ramirez, J. M. Neuromodulation and the orchestration of the respiratory rhythm. Respir. Physiol. Neurobiol. 164, 96–104 (2008).
Toporikova, N., Chevalier, M. & Thoby-Brisson, M. Sigh and eupnea rhythmogenesis involve distinct interconnected subpopulations: a combined computational and experimental study. eNeuro 2, ENEURO.0074-14.2015 (2015).
Chapuis, C., Autran, S., Fortin, G., Simmers, J. & Thoby-Brisson, M. Emergence of sigh rhythmogenesis in the embryonic mouse. J. Physiol. 592, 2169–2181 (2014).
Forsberg, D. et al. CO2-evoked release of PGE2 modulates sighs and inspiration as demonstrated in brainstem organotypic culture. Elife 5, e14170 (2016).
Gourine, A. V., Llaudet, E., Dale, N. & Spyer, K. M. ATP is a mediator of chemosensory transduction in the central nervous system. Nature 436, 108–111 (2005).
Gourine, A. V. & Funk, G. D. On the existence of a central respiratory oxygen sensor. J. Appl. Physiol. 123, 1344–1349 (2017).
Hartel, K., Schnell, C. & Hulsmann, S. Astrocytic calcium signals induced by neuromodulators via functional metabotropic receptors in the ventral respiratory group of neonatal mice. Glia 57, 815–827 (2009).
Lorier, A. R., Lipski, J., Housley, G. D., Greer, J. & Funk, G. D. ATP sensitivity of preBötzinger complex neurones in neonatal rat in vitro: mechanism underlying a P2 receptor-mediated increase in inspiratory frequency. J. Physiol. 586, 1429–1446 (2008).
Huxtable, A. G. et al. Glia contribute to the purinergic modulation of inspiratory rhythm-generating networks. J. Neurosci. 30, 3947–3958 (2010).
Zwicker, J., Rajani, V., Hahn, L. & Funk, G. D. Purinergic modulation of preBötzinger complex inspiratory rhythm in rodents: the interaction between ATP and adenosine. J. Physiol. 589, 4583–4600 (2011).
Mulkey, D. K., Mistry, A. M., Guyenet, P. G. & Bayliss, D. A. Purinergic P2 receptors modulate excitability but do not mediate pH sensitivity of RTN respiratory chemoreceptors. J. Neurosci. 26, 7230–7233 (2006).
Wenker, I. C., Sobrinho, C. R., Takakura, A. C., Moreira, T. S. & Mulkey, D. K. Regulation of ventral surface CO2/H+-sensitive neurons by purinergic signaling. J. Physiol. 590, 2137–2150 (2012).
Murali, S. & Nurse, C. A. Purinergic signaling mediates bidirectional crosstalk between chemoreceptro type I and glial-like type II cells of the rat carotid body. J. Physiol. 594, 391–406 (2016).
Alvares, T., Revill, A., Huxtable, A. G., Lorenz, C. & Funk, G. D. P2Y1 receptor-mediated potentiation of inspiratory motor output in neonatal rat in vitro. J. Physiol. 592, 3089–3111 (2014).
Orem, J. & Trotter, R. H. Medullary respiratory neuronal activity during augmented breaths in intact unanesthetized cats. J. Appl. Physiol. 74, 761–769 (1993).
Telgkamp, P., Cao, Y. Q., Basbaum, A. I. & Ramirez, J. M. Long-term deprivation of substance P in PPT-A mutant mice alters the anoxic response of the isolated respiratory network. J. Neurophysiol. 88, 206–213 (2002).
Grass, D. et al. Diversity of functional astroglial properties in the respiratory network. J. Neurosci. 24, 1358–1365 (2004).
Mulkey, D. K. et al. TASK channels determine pH sensitivity in select respiratory neurons but do not contribute to central respiratory chemosensitivity. J. Neurosci. 27, 14049–14058 (2007).
Bayliss, D. A., Talley, E. M., Sirois, J. E. & Lei, Q. TASK-1 is a highly modulated pH-sensitive ‘leak’ K+ channel expressed in brainstem respiratory neurons. Respir. Physiol. 129, 159–174 (2001).
Wang, S. et al. TASK-2 channels contribute to pH sensitivity of retrotrapezoid nucleus chemoreceptor neurons. J. Neurosci. 33, 16033–16044 (2013).
Huckstepp, R. T., Eason, R., Sachdev, A. & Dale, N. CO2-dependent opening of connexin 26 and related β connexins. J. Physiol. 588, 3921–3931 (2010).
Huckstepp, R. T. et al. Connexin hemichannel-mediated CO2-dependent release of ATP in the medulla oblongata contributes to central respiratory chemosensitivity. J. Physiol. 588, 3901–3920 (2010).
Funk, G. D. The ‘connexin’ between astrocytes, ATP and central respiratory chemoreception. J. Physiol. 588, 4335–4337 (2010).
Huxtable, A. G. et al. Tripartite purinergic modulation of central respiratory networks during perinatal development: the influence of ATP, ectonucleotidases, and ATP metabolites. J. Neurosci. 29, 14713–14725 (2009).
Ng, F. S. & Jackson, F. R. The ROP vesicle release factor is required in adult Drosophila glia for normal circadian behavior. Front. Cell. Neurosci. 9, 256 (2015).
Prolo, L., Takahashi, J. & Herzog, E. Circadian rhythm generation and entrainment in astrocytes. J. Neurosci. 25, 404–408 (2005).
Yagita, K. et al. Development of the circadian oscillator during differentiation of mouse embryonic stem cells in vitro. Proc. Natl Acad. Sci. USA 107, 3846–3851 (2010).
Suh, J. & Jackson, F. R. Drosophila ebony activity is required in glia for the circadian regulation of locomotor activity. Neuron 55, 435–447 (2007).
Ramirez, J. M. & Richter, D. W. The neuronal mechanisms of respiratory rhythm generation. Curr. Opin. Neurobiol. 6, 817–825 (1996).
Lemes, E. V., Colombari, E. & Zoccal, D. B. Generation of active expiration by serotoninergic mechanisms of the ventral medulla of rats. J. Appl Physiol. 121, 1135–1144 (2016).
Pachitariu, M. et al. Suite2p: beyond 10,000 neurons with standard two-photon microscopy. Preprint at bioRxiv https://doi.org/10.1101/061507 (2017).
Hill, A. A., Garcia, A. J. R., Zenella, S. & Upadhyaya, R. Graded reductions in oxygenation evoke graded reconfiguration of the isolated respiratory network. J. Neurophysiol. 105, 625–639 (2011).
Garcia, A. J. 3rd, Khan, S. A., Kumar, G. K., Prabhakar, N. R. & Ramirez, J. M. Hydrogen peroxide differentially affects activity in the pre-Botzinger complex and hippocampus. J. Neurophysiol. 106, 3045–3055 (2011).
Ruangkittisakul, A., Kottick, A., Picardo, M. C., Ballanyi, K. & Del Negro, C. A. Identification of the pre-Botzinger complex inspiratory center in calibrated “sandwich” slices from newborn mice with fluorescent Dbx1 interneurons. Physiol. Rep. 2, e12111 (2014).
Tryba, A. K., Pena, F. & Ramirez, J. M. Stabilization of bursting in respiratory pacemaker neurons. J. Neurosci. 23, 3538–3546 (2003).
Harris, K. D. et al. Different roles for inhibition in the rhythm-generating respiratory network. J. Neurophysiol. 118, 2070–2088 (2017).
Acknowledgements
This work was supported by the following National Institutes of Health Grants: P01 HL14454, R01 HL14480, R01 HL151389, R01 HL126523 (J.M.R.), F31 HL149156 (L.J.S.), F32 HL159904 (N.E.B.), F32 HL154558 (N.J.B.), and 1K99HL145004-01 (N.A.B.).
Author information
Authors and Affiliations
Contributions
Conceptualization: J.M.R., T.D., L.J.S., N.A.B.; Methodology: L.J.S., N.A.B., L.A.Q., A.Y.S.; Investigation: L.J.S., N.J.B., N.E.B., N.A.B., L.A.Q., S.H.A.; Formal Analysis: L.J.S., S.H.A., N.E.B.; Writing—Original Draft: L.J.S., N.A.B., J.M.R.; Writing—Review and Editing: J.M.R., L.J.S., N.A.B., N.E.B.; Funding Acquisition: J.M.R., L.J.S. Visualization: L.J.S., N.A.B.; Supervision: A.Y.S., J.M.R.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Source data
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Severs, L.J., Bush, N.E., Quina, L.A. et al. Purinergic signaling mediates neuroglial interactions to modulate sighs. Nat Commun 14, 5300 (2023). https://doi.org/10.1038/s41467-023-40812-x
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41467-023-40812-x
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.