Abstract
The enteric nervous system (ENS) contains millions of neurons essential for organization of motor behavior of the intestine. It is well established that the large intestine requires ENS activity to drive propulsive motor behaviors. However, the firing pattern of the ENS underlying propagating neurogenic contractions of the large intestine remains unknown. To identify this, we used high-resolution neuronal imaging with electrophysiology from neighboring smooth muscle. Myoelectric activity underlying propagating neurogenic contractions along murine large intestine [also referred to as colonic migrating motor complexes, (CMMCs)] consisted of prolonged bursts of rhythmic depolarizations at a frequency of ∼2 Hz. Temporal coordination of this activity in the smooth muscle over large spatial fields (∼7 mm, longitudinally) was dependent on the ENS. During quiescent periods between neurogenic contractions, recordings from large populations of enteric neurons, in mice of either sex, revealed ongoing activity. The onset of neurogenic contractions was characterized by the emergence of temporally synchronized activity across large populations of excitatory and inhibitory neurons. This neuronal firing pattern was rhythmic and temporally synchronized across large numbers of ganglia at ∼2 Hz. ENS activation preceded smooth muscle depolarization, indicating rhythmic depolarizations in smooth muscle were controlled by firing of enteric neurons. The cyclical emergence of temporally coordinated firing of large populations of enteric neurons represents a unique neural motor pattern outside the CNS. This is the first direct observation of rhythmic firing in the ENS underlying rhythmic electrical depolarizations in smooth muscle. The pattern of neuronal activity we identified underlies the generation of CMMCs.
SIGNIFICANCE STATEMENT How the enteric nervous system (ENS) generates neurogenic contractions of smooth muscle in the gastrointestinal (GI) tract has been a long-standing mystery in vertebrates. It is well known that myogenic pacemaker cells exist in the GI tract [called interstitial cells of Cajal (ICCs)] that generate rhythmic myogenic contractions. However, the mechanisms underlying the generation of rhythmic neurogenic contractions of smooth muscle in the GI tract remains unknown. We developed a high-resolution neuronal imaging method with electrophysiology to address this issue. This technique revealed a novel pattern of rhythmic coordinated neuronal firing in the ENS that has never been identified. Rhythmic neuronal firing in the ENS was found to generate rhythmic neurogenic depolarizations in smooth muscle that underlie contraction of the GI tract.
Keywords: colon, colonic migrating motor complex, enteric nervous system, gastrointestinal tract, myenteric plexus, pacemaker cell
Introduction
The gastrointestinal (GI) tract contains its own nervous system, known as the enteric nervous system (ENS). A unique feature of the ENS is that it contains entire neural circuits comprising sensory neurons, interneurons, and motor neurons, which can be studied more readily than in the CNS. Another unique feature of the ENS is that isolated segments of intestine can independently coordinate propulsive movements and propel content without any neural connections to the brain or spinal cord (Brann and Wood, 1976; Costa and Furness, 1976; Brookes et al., 1999; Wood, 2012; Costa et al., 2015; Spencer et al., 2016a).
The ENS consists of millions of neurons that are contained within interconnected micro-ganglia that form two distinct plexuses, known as the myenteric and submucosal plexuses (Furness, 2006; Wood, 2012). Much has been learnt about the different types of neurons within the ENS (Costa et al., 1996; Furness, 2006), particularly in guinea pig ileum (Costa and Brookes, 1994), including their neuronal projections and synaptic inputs and outputs (Bornstein et al., 1994; Furness et al., 1998; Furness, 2006; Mazzuoli and Schemann, 2012; Wood, 2012; Mazzuoli-Weber and Schemann, 2015). In mammals, the neurons responsible for coordinating motor behavior along the intestine are located in the myenteric plexus and include inhibitory and excitatory motor neurons, ascending and descending interneurons, and a unique population of intrinsic sensory neurons only found in the GI tract (Furness et al., 1998; Mazzuoli and Schemann, 2009, 2012; Mazzuoli-Weber and Schemann, 2015). Despite a detailed knowledge of these neurons, a major unresolved mystery is how such a large population of neurons behave during the neurogenic motor behaviors that propel content along the bowel (Wood, 2008, 2016; Hu and Spencer, 2018).
It is well known that non-neuronal pacemaker cells exist in the GI tract [known as interstitial cells of Cajal (ICCs)] that generate and control the frequency of myogenic depolarizations in GI smooth muscle cells, known as slow waves (Huizinga et al., 1995, 2014; Dickens et al., 1999). However, rhythmic neurogenic contractions have also been widely recorded in intestinal smooth muscle by many investigators (Brann and Wood, 1976; Spencer and Bywater, 2002; Roberts et al., 2007, 2008; Balasuriya et al., 2016; Spencer et al., 2016a), but their underlying neural activities have been difficult to resolve. Here, we used high resolution neuronal imaging to observe ENS behavior during and between neurogenic contractions in the murine large intestine, that are commonly referred to as colonic migrating motor complexes (CMMCs; Fida et al., 1997). During CMMCs, the ENS was found to generate rhythmic and synchronized firing, involving large populations of cholinergic, nitrergic and CGRP-expressing myenteric neurons.
Materials and Methods
Tissue dissection.
Mice of either sex (C57BL/6J strain; 6–8 weeks old; 18–26 g) were killed by isoflurane inhalation as approved by the Animal Welfare Committee of Flinders University (ethics approval 861-13). A ventral midline incision was made and the colorectum, without the cecum (∼50–60 mm) was removed and placed in a Sylgard-lined dissection chamber containing Krebs solution; (in 10−3 m concentrations: 118 NaCl, 4.7 KCl, 1 NaH2PO4, 25 NaHCO3, 1.2 MgCl2, 11 d-glucose, 2.5 CaCl2, gassed with 95% O2 and 5% CO2). The gut was flushed of content and cut along the mesenteric border into a flat sheet.
Preparations were mounted in a Sylgard (Dow Corning)-lined recording chamber with micropins (Fine Science Tools; catalog #26001-10), myenteric plexus uppermost. The entire colon was pinned at a constant circumferential length of 9–10 mm (slack length ∼5 mm). This equates to a constant strain of 0.8–1.0, where strain = elongation (mm)/original length (mm). The gut was not extended in the longitudinal direction beyond resting length. Preparations were continuously superperfused with Krebs solution (∼5 ml·min−1, 35°C). Following equilibration for 30 min, preparations were incubated for 10 min with Fluo-4-AM (Invitrogen) in solution of 1:1 dimethyl sulfoxide (DMSO) and Cremophor (Sigma-Aldrich).
Calcium imaging.
Dynamic changes in cytosolic calcium concentration in myenteric nerve cell bodies were recorded from colonic preparations. Myenteric ganglia were exposed by sharp dissection of longitudinal muscle from the preparation. Images were acquired at 70 Hz with an electron-multiplied charge coupled device camera (Photometrics Delta Evolve; Roper Scientific). Imaging data were acquired using Imaging Workbench 6.1 software (INDEC BioSystems). Circumferential gut movement was tracked for Figures 4E and 5D, using the FIJI “Align slices in stack” tool from the Template Matching plugin, and selecting a box around some continuously illuminated points to track their position over time.
Extracellular and intracellular electrophysiology.
The methodology and apparatus for extracellular recordings have been previously described (Hibberd et al., 2017). Extracellular electrodes used for recording from pinned out flat sheet preparations were rigid, whereas electrodes used for recordings from tube preparations had flexible shafts to accommodate large gut movements. For intracellular recordings, circular muscle cells were impaled with borosilicate micropipettes (1 mm outer diameter, 0.58 mm inner diameter; Harvard Apparatus) filled with 1 mm KCl, with resistances of 50–120 MΩ. Electrical signals were amplified (Axoclamp 2B amplifier, Molecular Devices), digitized (20 kHz; Powerlab 8/35, ADInstruments), recorded using Chart 7 software (ADInstruments) on a PC. Amplified signals were also visualized on an oscilloscope (TDS-210, Tektronix). Transmural, single pulse electrical stimuli (0.5 ms, 15–30 V; Grass S44 and S1U5) were delivered across the colon using platinum wires mounted on a micromanipulator.
In some experiments, calcium imaging from the myenteric plexus was made at the same time as smooth muscle extracellular or intracellular membrane potential recordings. Preparations were superfused with Krebs solution containing nicardipine (1 μm) during intracellular electrophysiological recordings to facilitate microelectrode recordings. Extracellular recordings were performed in regular Krebs solution. All preparations exhibited neurogenic spike bursts, as recently described (Hibberd et al., 2017). All imaged myenteric ganglia were located 15–30 mm from the terminal rectum. Recordings were performed where neuronal uptake of calcium indicator was considered sufficiently intense and uniform and was free from interference by calcium signals from underlying smooth muscle. Where calcium imaging and smooth muscle extracellular recordings were combined, electrodes were positioned both circumferential and 15 mm oral to imaged myenteric ganglia. A single circumferential electrode was used in combined calcium imaging and intracellular smooth muscle recordings. In all cases, calcium recordings were restricted to ganglia located within an area 2 mm oral or aboral to the circumferential recording electrode. Mechanical interference with the water-immersion lens for neuronal imaging precluded electrical recordings directly beneath the imaged ganglia and close to the pinned circumferential edges of preparations (corresponding to the mesenteric border). Thus calcium and electrical recordings were confined to locations between the mesenteric and antimesenteric borders, on opposing sides of the preparation (see Fig. 4B).
In some experiments, intact tube preparations of colon were used to record smooth muscle electrical activity alone. Electrical activity was simultaneously recorded from the serosal surface by two suction electrodes during propagation of single endogenous, or artificial fecal pellets through the colon.
Immunohistochemical identification of myenteric neurons following calcium imaging.
Double-labeling of calcitonin gene-related peptide (CGRP) and nitric oxide synthase (NOS) following calcium imaging was performed as described in (Hibberd et al., 2017, 2018). NOS and choline acetyltransferase (ChAT) double-labeling was performed identically to CGRP/NOS immunolabeling, with the exclusion of organotypic culture in colchicine. Rabbit anti-CGRP (1:2000; Peninsula, catalog #IHC6006, lot 040826-2; RRID:AB_2314156) and sheep anti-nNOS (1:1000; Emson, catalog #K205; RRID:AB_2314960) was used donkey anti-rabbit IgG (1:200; Cy3, The Jackson Laboratory, catalog #711 165 152), and donkey anti-sheep IgG (1:100; Cy5, The Jackson Laboratory, catalog #713 175 147), respectively. Sheep anti-nNOS (1:1000; Emson, catalog #K205; RRID:AB_2314960) and rabbit anti-ChAT (1:1000; Schemann/P3YEB) were used in conjunction with donkey anti-sheep IgG (1:100; Cy5, The Jackson Laboratory, catalog #713 175 147) and donkey anti-rabbit IgG (1:200; Cy3, The Jackson Laboratory, catalog #711 165 152), respectively.
Terminology.
The methods presented here refer to synchronized and desynchronized periods, which are characterized in the results section. Briefly, synchronized periods correspond to periods of time during neurogenic spike bursts which are characterized by relatively high spatial coordination of myoelectric activity and coordinated neural activity. Desynchronized periods correspond to time intervals between neurogenic spike bursts and are characterized by relatively low spatial coordination of myoelectric activity and uncoordinated neural activity.
Myoelectric coherence and frequency analysis.
Comparison of myoelectric voltage coherence under various conditions was performed with the “rstanarm” R package. This allowed us to compute the posterior probability distribution of various parameters of interest, conditioned on the data we had observed.
For comparisons of synchronized and desynchronized periods, a hierarchical model was used for partial pooling of neurogenic spike bursts within recording blocks, and blocks within each preparation (individual animal) and drug. This was given by the linear mixed-effects formula: “coherence ∼ (period | drug/block) + (period | preparation/block)” with the default weakly informative priors.
To clarify, a recording block contained on the order of tens of time-intervals. Each interval was considered a single unit of data, and contained the measured coherence over the timespan of that interval as its response value. There were four predictors of the response: (1, period) the classification of the type of period it belongs to, that is, either synchronized or desynchronized; (2, drug) the drug combination the preparation was exposed to at the time of the interval; (3, preparation) an indicator for which animal preparation it belongs to; and (4, block) an indicator for the recording block.
The above formula could be conceptually reduced to “coherence ∼ (period | drug)” because we were interested in whether there is a difference in coherence between the synchronized and desynchronized periods, with this difference potentially varying between drugs. However, because we had multiple potentially correlated measurements of coherence for each type of period in each recording block, rather than simply averaging the coherences of each type of period in a block, we instead used a nested model “coherence ∼ (period | drug/block)”. This effectively performed such an averaging while also accounting for potential correlations and propagating the information of individual intervals to the overall distribution that would otherwise have been lost with simple averaging. The formula's second term “(period | preparation/block)” accounts for potential random deviations in the coherence of different period types for each animal preparation. Note: each block contained only one type of drug and was a recording for only one of the animals, that is, the drug was not changed within a block, nor were recordings from multiple animals fused into one block. However, there were multiple blocks recorded for each drug and each animal. For comparisons of myoelectric coherence and frequency in the presence of drugs at various electrode separation distances, the formula “measure ∼ distance + (distance | preparation)” was used to infer the slope with distance of a measure of either coherence or frequency. The formula “measure ∼ (1 | drug) + (1 | preparation)” was used to infer the intercept over drugs, with the default weakly informative priors.
Signal processing.
The wavelet transform and coherences were calculated as in (Torrence and Compo, 1998), using a Morlet wavelet with a nondimensional frequency of ω0 = 6, for scales corresponding to the frequencies between 0.5 and 8 Hz. Where coherence was used, it was calculated at the frequency with the maximum amplitude of the global wavelet spectrum (which was usually ∼2 Hz). A preprocessing step was also performed, where each EMG signal was split into positive and negative voltages, and the wavelet transform was computed separately on the log-positive and log-negative portions of the signal, and then the two were averaged to obtain the final wavelet transform amplitudes. The logarithmic transformation allowed us to reduce the artifactual influence of sharp spikes, due to muscle action potentials, on higher-frequency harmonics.
Methodology for imaging analysis.
We have recently described in detail the techniques used here for the analysis of temporal correlation of calcium transients (Sorensen et al., 2017). Briefly, we used four independent analytical techniques to compare the degree of temporal coordination of neuronal activity among populations of myenteric neurons between synchronized and desynchronized periods. Three measures were based on the cross correlogram and cross-correlation functions. These are referred to below as follows:
Measure 1: proportion of cross correlograms maximized close to a time lag of 0.
Measure 2: proportion of cross-correlations maximized close to a time lag of 0.
Measure 3: average value of the cross-correlation function at a time lag of 0.
These pairwise measures tested the one-sided hypothesis that temporal coordination between myenteric neurons increased during neurogenic contractions. A paired permutation test was used to test this hypothesis for each measure. We used a paired test because the measures are calculated using the same neuronal sites during the synchronized and desynchronized periods. To avoid the potential correlation between measure values that share a common neuron, we applied the permutation test to subsets of values, where subsets were chosen such that each site was associated with only one value.
In addition to pairwise comparisons, a Measure 4 was used to assess coordination of calcium transients arising from all neurons in the field of view (1–3 myenteric ganglia in the present study). This requires an analysis of the coincident activity patterns, which are patterns of calcium transients that are aligned within a certain time tolerance (∼86 ms). In the present study, the distribution of the number of sites engaged in a coincident pattern of calcium transients was heavily skewed toward the right (i.e., more of the patterns of calcium transients involved a smaller number of sites). As such, simply comparing the mean number of sites engaged in coincident firing pattern was inappropriate. We therefore compared the maximum number of sites engaged in a coincident pattern of calcium transients. More specifically, for both the synchronized and desynchronized periods, we identified and compared the coincident calcium transients engaging the maximum number of sites.
Methodologies for calculating analysis Measures 1, 2, 3, and 4.
We outline the steps taken to calculate Measures 1, 2, 3 and 4, and give some relevant parameters required. A more detailed description is presented by Sorensen et al. (2017). In the present study, the gradient method (Sorensen et al., 2017) was applied to bandpass filtered data for calcium transient detection.
The cross correlogram histograms demonstrate the spike timing differences between two spike trains. Here, the bin size used was six samples (∼86 ms). To perform cross-correlation, unstable baselines were removed with a median filter, using a Hanning window, of length 60 samples (∼860 ms); the median filtered data then had a low pass filter applied, where the cutoff value of the filter was 9 Hz. For cross correlogram analyses, the maximum tolerance for alignment of calcium recordings was set at six samples (∼86 ms) to be consistent with the bin size used; for the cross-correlation this tolerance was four samples (∼57 ms). For analysis of coincident activity patterns, perfect alignment in a coincident pattern of calcium transients is not expected. However, we do expect the calcium transients to fall within a bin of a small size, where the size of the bin is a fraction of the average time between calcium transient events. In our analysis this bin size was six samples (∼86 ms). For consistency we used the same bin size in unitary event analysis.
Test statistics used for Measures 1, 2 and 3.
The major challenge in any hypothesis-testing scenario is finding a test statistic whose assumptions are met by the data; the mathematics behind any statistical test has assumptions regarding the data. Although marginal distribution assumptions can often be quite relaxed, properties regarding the correlation between samples are usually not. For Measures 1, 2 and 3 we identified two potential sources of correlation in the data, the major source of correlation being the potential correlation of the measures between the synchronized and desynchronized periods. To explain further, suppose that we have M neurons resulting in N = M(M−1)/2 cross-correlation/cross correlograms; let {Qn}n=1N and {Rn}n=1N be the collection of boolean observations, taking value 0 or 1 (where a value of 1 denotes the maximization of the cross-correlation/cross correlogram close to a time lag of 0), for all pairs during the synchronized (Q) and desynchronized (R) periods. Now, for each n, the observations Qn and Rn may be correlated as they are measured from the same neuronal imaging sites. Hence a paired statistical test must be used to test the following one-sided hypotheses:
Similarly, for Measure 3, we require a paired test to compare the values of cross-correlation at time lag 0 between the synchronized and desynchronized periods.
Another correlation that may exist is between measurements that share a common neuron. To elaborate further, suppose that Qi is associated with neurons A and B (i.e., Qi denotes whether the cross correlogram for neurons A and B has been maximized close to a time lag of 0), and Qj is associated with neurons B and C. The measures Qi and Qj may be correlated due to the common neuron B. We addressed this issue by subsampling {Qn}n=1N and {Rn}n=1N repeatedly, forming a collection of subsets {{Ql}l∈Lk}k=110000 and {{Rl}l∈Lk}k=110000 such that each Lk has the following properties:
|Lk| = ⌊M/2⌋
Each neuron can only be associated with one Ql for l ∈ Lk.
The second property ensures that for each Lk, the measurements {Ql}l∈Lk cannot be correlated due to a commonly shared neuron between the measurements (i.e., no Ql ∈ {Ql}l∈Lk share a common neuron). For each subset we performed the paired permutation tests found in (Higgins, 2003), and calculated the percentage of subsets such that there was statistical difference between measures for the synchronized and desynchronized periods. For each subset we applied 10,000 permutations.
Statistics.
Differences in datasets were considered statistically significant if p < 0.05. Results are expressed as mean ± SD, unless stated otherwise. Lower case “n” always indicates the number of animals used in a set of experiments. Bayesian analysis was performed using Stan (Carpenter et al., 2017) and rstanarm (Stan Development Team, 2017). Four formal statistical tests were undertaken, all of which were one sided: Measures 1, 2 and 3 (see Methodology for imaging analysis) used paired permutation tests found by Higgins (2003) and the statistical significance of a particular coincident activity pattern was tested using the test statistic used in unitary event analysis. An α-value of 0.05 was used in all cases.
Drugs.
The following stock solutions of drugs were made: hexamethonium chloride in water (10−1 m; Sigma-Aldrich, H2138); nicardipine hydrochloride in DMSO (10−1 m; Sigma-Aldrich, N7510). Drugs were kept refrigerated and diluted on the day of the experiment to working concentrations in Krebs solution.
Results
Coordination of smooth muscle electrical activity
Extracellular electrical recordings were made of the myoelectric activity of the colonic smooth muscle layers from two recording sites along the mid to distal region of isolated whole mouse colon (n = 7; Fig. 1A). Cyclical bursts of smooth muscle action potentials were recorded (Fig. 1B), which have been previously described as “neurogenic spike bursts” (Hibberd et al., 2017). Neurogenic spike bursts lasted for 32.7 ± 2.1 s, with intervals of 1.5 ± 0.5 min (n = 7; Fig. 1). A striking feature was that during neurogenic spike bursts, smooth muscle action potentials occurred at a remarkably regular rate (2.0 ± 0.04 Hz; Fig. 1D2). Recordings of neurogenic spike bursts from two sites 1 mm apart revealed myoelectric activity was highly coordinated during neurogenic spike bursts (measured as coherence; Fig. 1C). That is, extracellular potentials at both recording sites showed high linear correlation. However, lower correlations occurred during periods between neurogenic spike bursts (Fig. 1C). Thus, myoelectric coherence over a distance of 1 mm oscillated in parallel with the occurrence of neurogenic spike bursts. Coherence peaks occurred during neurogenic spike bursts and troughs occurred in the periods between them (Fig. 1C). We refer to these periods as synchronized and desynchronized, respectively. The difference in coherence between synchronized and desynchronized periods are shown in Figure 2A and is readily visualized in raw myoelectric voltage traces by comparing electrodes 1 and 2 in Figure 1, D1 and D2. In the presence of nicardipine (1 μm), neurogenic bursts of junction potentials occurred at ∼2 Hz, without smooth muscle action potentials (n = 5) and the relationship between neurogenic bursts and myoelectric coherence persisted (Fig. 1B–D, Fig. 1-1, Fig. 2A,B). The nicotinic receptor antagonist hexamethonium (300 μm; n = 5), abolished neurogenic spike bursts (Fig. 1-1) and significantly reduced coherence between the two recording electrodes (Fig. 2). Hexamethonium also abolished the ∼2 Hz bursts of junction potentials that occurred in the presence of nicardipine (Figs. 2A,B, 3A–D).
Myoelectric coherence was assessed by recording neurogenic spike bursts from two sites, ranging 1–14 mm apart (longitudinally). Coherence, but not frequency, was inversely related to separation distance (Fig. 3E–H). Beyond 7 mm, myoelectric coherence was similar to levels seen in the presence of hexamethonium over 1 mm. This revealed that activity in the ENS can temporally coordinate myoelectric activity over significant distances along the length of colon (many millimeters), beyond which decreases in coordination are seen.
Simultaneous neuronal imaging and electrophysiology from smooth muscle during neurogenic spike bursts
The observation that hexamethonium reduced coordinated smooth muscle activity led us to record from multiple classes of myenteric neurons simultaneously using calcium imaging (Fig. 4, Fig. 4-1) at the same time as smooth muscle electrophysiological recordings (Figs. 4, 5D,E). Ongoing calcium transients occurred in ChAT+ve, NOS+ve, and CGRP+ myenteric nerve cell bodies during desynchronized periods, i.e., during the intervals between neurogenic spike bursts (Figs. 4E, 6C,D, 7C, 8, 9A; Movie 1; n = 12). The frequency of ongoing calcium transients in desynchronized periods ranged from quiescence, up to 2.6 Hz (average, 0.8 ± 0.5 Hz; Table 1). These activities showed relatively weak coordination among myenteric neurons (“coordination” of neural activity analyzed in detail below). However, neurogenic spike bursts (synchronized periods) were characterized by the emergence of a highly coordinated and rhythmic calcium spike pattern (Fig. 5, Fig. 5-1). During these periods, large populations of cholinergic and nitrergic myenteric nerve cell bodies, internodal strands and varicosities were synchronously active in prolonged repetitive bursts. Neural calcium transients occurred at a frequency similar to that of smooth muscle depolarizations (∼2 Hz; Figs. 3A–D, 4, 5A,B, 6E, 7D; Table 1; Movie 2). The average frequency of calcium transients across all individual neurons was 1.8 ± 0.4 Hz (n = 12). The average frequency of the entire population of myenteric neurons active in the field of view (the ensemble or network calcium spike rate) was 1.9 ± 0.2 Hz (n = 12). There was a strong correlation between calcium transients and EMG standardized global wavelet spectrum amplitudes over a range of frequencies (ρ ≥ 0.98, n = 7; Fig. 5C). Synchronized and desynchronized periods persisted during smooth muscle action potential blockade in nicardipine (1 μm, n = 5; Figs. 6, 7; Movie 2). However, hexamethonium always abolished temporal coordination of firing between enteric neurons (n = 5; Movie 3), as well as neurogenic spike bursts (Fig. 1-1). The coordinated activity in synchronized periods (Fig. 6) included activities from neurons with larger nerve cell bodies (Fig. 6-1), compatible with the Dogiel type II morphology of putative intrinsic sensory neurons (Furness et al., 2004). Indeed, synchronized periods involved activity of myenteric neurons that expressed CGRP (a putative selective marker of intrinsic sensory neurons; Furness et al., 2004). Hexamethonium also abolished the ∼2 Hz pattern of activity in CGRP+ve neurons (n = 3).
Table 1.
Structure | Neurochemistry | Sync, Hz (mean ± SD) | Desync, Hz (mean ± SD) | Hexamethonium, Hz (mean ± SD) | Count | n |
---|---|---|---|---|---|---|
Cell body | CGRP+/NOS− | 1.5 ± 0.5 | 1.0 ± 0.4 | 0.00 ± 0.00 | 10 | 5 |
Cell body | CGRP+/NOS+ | 1.5 | 1.2 | — | 1 | 5 |
Cell body | CGRP−/NOS+ | 1.6 ± 0.3 | 0.8 ± 0.4 | 0.01 ± 0.04 | 64 | 5 |
Cell body | CGRP−/NOS− | 1.8 ± 0.4 | 0.8 ± 0.5 | 0.01 ± 0.04 | 104 | 5 |
Cell body | ChAT+/NOS− | 1.8 ± 0.6 | 0.6 ± 0.5 | 0.00 ± 0.00 | 194 | 7 |
Cell body | ChAT+/NOS+ | 0.7 | 1.2 | 0.00 | 1 | 7 |
Cell body | ChAT−/NOS+ | 1.9 ± 0.3 | 0.8 ± 0.6 | 0.00 ± 0.00 | 136 | 7 |
Cell body | ChAT−/NOS− | 1.9 ± 0.5 | 0.8 ± 0.6 | 0.00 ± 0.00 | 20 | 7 |
Internodal strands | Uncoded | 1.9 ± 0.3 | 0.9 ± 0.5 | 0.01 ± 0.06 | 105 | 12 |
Varicosities | Uncoded | 1.9 ± 0.4 | 1.0 ± 0.5 | 0.00 ± 0.02 | 84 | 12 |
All | 1.8 ± 0.4 | 0.8 ± 0.5 | 0.00 ± 0.03 | 719 | 12 |
As described above, synchronized periods persisted in nicardipine as ∼2 Hz bursts of junction potentials, in the absence of smooth muscle action potentials. As expected, the temporal activation of junction potentials occurred out of phase with respect to coordinated calcium transients in enteric neurons (Fig. 7; Movie 3). To study this further, single pulse electrical stimuli (70 V, 0.4 ms) were delivered transmurally to the colon. Electrical stimulation first evoked simultaneous calcium transients in numerous enteric neurons with a latency of 50 ± 12 ms (range: 28–84 ms; time from stimulus to peak of calcium transient; Fig. 7-1). This was followed by onset of individual junction potentials in smooth muscle 218 ± 68 ms from the stimulus (range: 115–300 ms; n = 4). These data are consistent with the well known latency between neural activation and junction potential onset of ∼150 ms (Bennett et al., 1966; Niel et al., 1983; Spencer and Smith, 2004).
Coordination of enteric neural activity underlying neurogenic contractions
A coordinated pattern of neural activity among myenteric neurons appeared to emerge during neurogenic spike bursts. Figure 8 shows representative calcium recordings during synchronized and desynchronized periods. More neurons discharged calcium transients together during a synchronized period (Fig. 9B) than during a desynchronized period (Fig. 9A). Consistent with this, both cross correlogram and cross-correlation measures were maximized close to a time lag of 0 more often during synchronized periods than desynchronized periods (Fig. 9Ci–Div). Moreover, the value of cross-correlation at time lag 0 is greater during the synchronized period than a desynchronized period. These observations motivated three measures of pairwise coordination (described in Materials and Methods). The results of each measure are shown in Table 2 (n = 12). Cross correlogram and cross-correlation analyses across all different neuronal imaging sites is summarized in Table 3. These data show that the degree of coordination of activity between pairs of myenteric neurons was higher during synchronized periods. Further, more myenteric neurons were active during coincident firing patterns (Fig. 9). To quantify this, the number of neuronal structures engaged in synchronous discharge of calcium transients was analyzed by unitary event analysis (Measure 4, described in Materials and Methods; Spencer et al., 2016b). In 13 of 15 cases, more calcium transients occurred in a coincident firing pattern for the synchronized period than a desynchronized period in the same preparation [n = 12; Table 4, Tab. 4-1 shows results using a range of coincidence firing tolerances]. This means that myenteric neurons generated synchronized calcium transients more often during neurogenic spike bursts than in the intervals between them. Together, the results show there is increased temporal coordination between enteric neurons in different ganglia during neurogenic contractions. It was clear that when synchronized neurogenic activity occurred in the myenteric plexus (Fig. 9), this activity propagated along the colon. This was confirmed when neuronal imaging was made between two extracellular smooth muscle recording electrodes and clear propagation of neuronal activity along the myenteric plexus was detected (Fig. 9-1).
Table 2.
Recording | #Pairs | Measure 1 |
Measure 2 |
Measure 3 |
||||
---|---|---|---|---|---|---|---|---|
#Sync | #Desync | Significant, % | #Sync | #Desync | Significant, % | Significant, % | ||
1 | 300 | 141 | 34 | 39.6 | 287 | 187 | 37.1 | 100.0 |
2 | 1431 | 1273 | 569 | 100.0 | 1430 | 1329 | 1.1 | 100.0 |
3 | 666 | 527 | 183 | 98.6 | 631 | 350 | 92.6 | 97.2 |
4 | 496 | 371 | 82 | 96.4 | 381 | 295 | 10.0 | 48.8 |
5 | 528 | 401 | 255 | 36.9 | 490 | 438 | 1.1 | 3.2 |
6 | 1081 | 533 | 382 | 14.9 | 955 | 692 | 58.0 | 100.0 |
7 | 703 | 412 | 129 | 80.8 | 636 | 460 | 39.1 | 100.0 |
8 | 903 | 578 | 277 | 71.3 | 729 | 416 | 77.7 | 99.8 |
9 | 1830 | 628 | 211 | 61.5 | 1082 | 325 | 98.2 | 88.0 |
10 | 820 | 264 | 66 | 42.4 | 587 | 331 | 60.0 | 36.2 |
11 | 990 | 104 | 55 | 2.2 | 695 | 129 | 99.9 | 100.0 |
12 | 1431 | 267 | 119 | 13.7 | 1109 | 610 | 88.3 | 100.0 |
13 | 903 | 467 | 131 | 83.9 | 847 | 690 | 24.9 | 99.2 |
14 | 231 | 63 | 18 | 4.9 | 146 | 84 | 16.1 | 64.9 |
15 | 1378 | 337 | 75 | 48.4 | 1080 | 1005 | 3.4 | 4.6 |
n = 12 |
The cross correlogram and cross correlation function was applied to every pair of sites; the number of pairs for each case study is given in column titled “#Pairs”. The “#Sync” and “#Desync” columns show the number of pairs maximized at a time lag close to 0 for the synchronized and desynchronized periods respectively. The “Significant” columns show the percentage of randomized subsets that are statistically significant with the permutation test.
Table 3.
Structure | Neurochemical code | Internodal strands |
Varicosities |
Myenteric nerve cell bodies |
||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Uncoded |
Uncoded |
NOS−ve/ChAT−ve |
CGRP + ve |
NOS + ve |
ChAT + ve |
|||||||||||||||
A | B | C | A | B | C | A | B | C | A | B | C | A | B | C | A | B | C | |||
Internodal strands | Uncoded | Synch | 85 | 99 | 0.8 | 77 | 98 | 0.7 | 56 | 87 | 0.6 | 85 | 96 | 0.7 | 49 | 88 | 0.5 | 51 | 85 | 0.5 |
Desynch | 56 | 94 | 0.7 | 39 | 85 | 0.5 | 27 | 69 | 0.4 | 38 | 90 | 0.5 | 18 | 61 | 0.4 | 16 | 56 | 0.3 | ||
Varicosities | Uncoded | Synch | 65 | 92 | 0.6 | 53 | 86 | 0.5 | 67 | 95 | 0.6 | 40 | 81 | 0.5 | 40 | 76 | 0.4 | |||
Desynch | 37 | 75 | 0.5 | 24 | 50 | 0.3 | 28 | 83 | 0.5 | 17 | 51 | 0.3 | 13 | 41 | 0.2 | |||||
Myenteric nerve cell bodies | NOS+ve/ChAT+ve | Synch | 54 | 84 | 0.5 | 64 | 86 | 0.6 | 35 | 73 | 0.4 | 22 | 60 | 0.3 | ||||||
Desynch | 18 | 50 | 0.3 | 27 | 67 | 0.4 | 13 | 45 | 0.3 | 7 | 25 | 0.1 | ||||||||
CGRP + ve | Sync | 42 | 58 | 0.5 | 49 | 91 | 0.5 | ND | ND | ND | ||||||||||
Desynch | 11 | 56 | 0.3 | 9 | 65 | 0.4 | ND | ND | ND | |||||||||||
NOS + ve | Synch | 35 | 78 | 0.4 | 25 | 64 | 0.3 | |||||||||||||
Desynch | 8 | 44 | 0.3 | 7 | 32 | 0.2 | ||||||||||||||
ChAT + ve | Synch | 34 | 69 | 0.3 | ||||||||||||||||
Desynch | 10 | 34 | 0.2 |
Synchrony was measured between internodal strands, varicosities, and neurochemically-identified nerve cell bodies. The A columns contain the percentage of all recorded structures such that the cross correlogram is maximized close to a time lag of 0; the B columns contain the percentage of all recorded structures such that the cross correlation function is maximized close to a time lag of 0; the C column contain the average value of the cross correlation function at time lag 0 over all sites. Block diagonal entries contain the results when both recordings in a pair belong to the same class (e.g., ChAT + ve versus ChAT + ve nerve cell bodies), the off-diagonals contain the results when the two recordings come from different classes (e.g., ChAT + ve versus NOS + ve nerve cell bodies). Note that ChAT/NOS and CGRP/NOS immunohistochemical combinations were used. Thus, there was no data (ND) for comparison of ChAT + ve and CGRP + ve nerve cell bodies.
Table 4.
Recording | No. of coincident calcium transients |
|
---|---|---|
Synchronized | Desynchronized | |
1 | 68 | 40 |
2 | 92 | 59 |
3 | 81 | 59 |
4 | 91 | 56 |
5 | 88 | 70 |
6 | 57 | 70 |
7 | 74 | 47 |
8 | 79 | 61 |
9 | 59 | 30 |
10 | 61 | 41 |
11 | 40 | 22 |
12 | 31 | 32 |
13 | 67 | 49 |
14 | 64 | 36 |
15 | 36 | 23 |
For each example, the maximum number of spikes in a coincident activity pattern was calculated. In 13 of 15 case studies, the maximum number of calcium transient peaks in a coincident pattern was greater during the synchronized periods. See Table 4-1 for coincidental firing patterns that occur using different tolerances to define coincident events.
Smooth muscle electrical activity underlying propulsive neurogenic contractions
Because we revealed a novel neuronal firing pattern in the ENS in flat sheet preparations of colon, we were interested to determine whether the same electrical phenomenon also occurred during the propulsion of natural content along intact tube preparations of colon. Smooth muscle electrical activity was recorded from two sites in the mid-distal colon (20 and 30 mm from terminal rectum) during propulsion of 31 pellets (27 synthetic and 4 natural fecal pellets, 7 preparations, n = 7; Fig. 10A–C). Propulsion of single fecal pellets past the electrodes was accompanied by regular action potentials at 2.0 ± 0.1 Hz for a mean duration of 25.8 ± 4.5 s (n = 7) as the pellet passed the electrodes (Movie 4). These characteristics are indistinguishable from the neurogenic spike bursts described in flat sheet colonic preparations (Hibberd et al., 2017). In fact, the duration of the coordinated action potential spike burst did not differ between the moving pellet and the fixed sheet preparation of colon (Fig. 10F). Figure 10, A–D, shows a representative example. The two fine dotted lines in Figure 10C show the location of the fecal pellet in the proximal colon, and the migration of the single pellet toward the two electrodes located at the red and blue arrows in Figure 10C. The ∼2 Hz bursts of muscle action potentials during propulsion of fecal pellets were abolished by hexamethonium (n = 5), suggesting that coordinated activity within the ENS was involved in coordinating the firing of bursts of smooth muscle action potentials at ∼2 Hz.
Discussion
The present study reports the emergence of rhythmic and synchronous activity across multiple subclasses of enteric neurons and across multiple rows of ganglia, during neurogenic contractions of the large intestine. This represents a major pattern of neuronal activity in the mammalian peripheral nervous system that has not previously been identified. The synchronized ENS activity involved simultaneous activation of large populations of excitatory and inhibitory neurons, as well as putative (CGRP+ve) intrinsic sensory neurons. Synchronized ENS activity occurred at ∼2 Hz during the generation of rhythmic depolarizations in smooth muscle, which also occurred at ∼2 Hz. It has not been demonstrated previously that (1) large populations of enteric neurons coordinate their firing in repetitive bursts, and (2) that electrical rhythmicity in smooth muscle can be generated by rhythmic firing in the ENS. The pattern of neuronal firing we have identified in this study directly underlies the generation of CMMCs (Balasuriya et al., 2016; Spencer et al., 2016a; Hibberd et al., 2018; Hu and Spencer, 2018).
Synchronization of activity in the nervous system is paramount for its normal functioning (Buzsaki, 2006). Spontaneous synchronization has been reported across large populations of neurons with frequencies ranging from 0.5 to 2 events min−1 occurring during early development in the cortex (Garaschuk et al., 2000) and large-scale oscillatory calcium waves in the immature cortex. Furthermore, giant synaptic potentials have been reported in the immature rat CA3 hippocampal neurons (Ben-Ari et al., 1989), whereas in the mammalian retina, synchronous bursts of action potentials discharge in retinal ganglion cells (Meister et al., 1991) and mammalian hindbrain (Gust et al., 2003). There is also a well described development of synchronized activity in the spinal cord (O'Donovan et al., 1998). In the adult CNS, some nuclei crucial for ongoing survival retain a high degree of synchronized behavior; an example of which is in the generation of the respiratory cycle (Wittmeier et al., 2008). It is possible that the periods of synchronization and desynchronization in the ENS we revealed in this study represent a primordial property of the ENS, which can be considered as the primordial “brain”, because rational evidence has been presented that the ENS evolved before the CNS (Furness and Stebbing, 2018).
Propagating neurogenic contractions are the predominant motor behavior of the murine large intestine. Myoelectric oscillations during this behavior at a frequency of ∼2 Hz were reported as early as 1973 (Wood, 1973). The first intracellular electrophysiological recordings from circular muscle cells of full-length preparations of mouse colon revealed repetitive cholinergic depolarizations at ∼2 Hz during propagating neurogenic contractions (Bywater et al., 1989; Lyster et al., 1995; Spencer et al., 2005). It was hypothesized that synchronous and repetitive firing of myenteric neurons generated the rhythm and spatial coordination of inhibitory and excitatory junction potentials over distances greater than the projection lengths of motor neurons (Spencer et al., 2005; Hu and Spencer, 2018). However this was not certain because it is well known that cholinergic agonists alone can induce repetitive depolarizations in intestinal smooth muscle, when all nerve conduction is blocked (Bolton, 1971). Confirming the above hypothesis, the present study provides the first direct observation of coordinated enteric neural firing during neurogenic contractions.
Blockade of cholinergic excitatory junction potentials (EJPs) with atropine reveals repetitive inhibitory junction potentials (IJPs) alone at ∼2 Hz during neurogenic myoelectric activity (Spencer et al., 2005). Thus, it may not be surprising that nitrergic neurons in the myenteric plexus participate in ENS firing at 2 Hz during the neurogenic motor pattern described here. This is consistent with the observation in the present study that NOS+ve and ChAT+ve neurons were simultaneously activated at ∼2 Hz. In this way, we suggest synchronized ENS firing causes pulsatile release of both excitatory and inhibitory neurotransmitter(s) simultaneously onto smooth muscle. This observation, combined with the large spatial field of ENS-coordinated myoelectric activity (∼7 mm) means that there are regions of muscle whose excitatory and inhibitory inputs are activated simultaneously during neurogenic contractions. This may be expected to interfere with smooth muscle excitation. However, IJPs are reduced, or abolished, during the rising phase of neurogenic depolarizations by a process of disinhibition, which was shown to be caused by presynaptic inhibition of release of all inhibitory transmitters (both nitrergic and non-nitrergic; Spencer et al., 1998), ensuring dominance of muscle excitation. In addition, the coactivation of excitatory and inhibitory motor inputs by electrical stimuli results first in an EJP peak at ∼150 ms, followed by an IJP peak ∼300–450 ms (Okasora et al., 1986). This is compatible with ∼2 Hz ENS synchrony: coactivation of excitatory and inhibitory motor neurons may evoke an EJP-IJP smooth muscle membrane oscillation that is on the repolarization phase, in time for the subsequent cycle of neural input ∼500 ms later.
The finding that the timing of repetitive smooth muscle depolarizations and muscle action potentials at ∼2 Hz is controlled by the coordinated firing rate of the ENS represents a vastly different mechanism from the well described myogenic slow-wave oscillations in smooth muscle (Huizinga et al., 2014). Slow waves are generated by ICCs, which are non-neuronal cells that do not require input from enteric nerves for their pacemaker activity (Huizinga et al., 1995). In contrast to myogenic slow waves, whose frequency of depolarizations is determined by ICC, the frequency of rhythmic depolarizations in smooth muscle during neurogenic contractions mirrors the synchronized firing rate of the ENS.
Unitary event analysis showed that during neurogenic contractions the different neurochemically-defined classes of myenteric neurons, including varicosities and internodal strands were activated at the same time and significantly more often. The abolition of ENS synchrony by hexamethonium suggests that bursts of fast nicotinic synaptic inputs within myenteric ganglia mediate coordinated firing of myenteric neurons at ∼2 Hz. Electrophysiological recordings of myenteric neurons in small segments of mouse colon have not identified single neurons that discharge action potentials at ∼2 Hz spontaneously, or in response to imposed depolarization (Furukawa et al., 1986; Nurgali et al., 2004). Thus, whether this behavior represents an emergent property of the ENS that is not a property of individual enteric neurons, or whether a set of pacemaker neurons exists is not clear.
Of particular interest was that in addition to simultaneous activation of NOS+ve inhibitory neurons and ChAT+ve excitatory motor neurons and interneurons at 2 Hz, putative sensory neurons in the ENS [which contain CGRP in mouse colon (Furness et al., 2004)] were also activated at 2 Hz (Table 3). This is compatible with the possibility that CGRP+ve myenteric neurons receive fast synaptic input in murine distal colon (Hibberd et al., 2018), as shown in some Dogiel type 2 neurons of guinea pig myenteric plexus (Grafe et al., 1979). The specific roles of these putative sensory neurons and other classes of interneurons in the generation, pacing and termination of ENS synchrony is of significant interest. Indeed, computer modeling based on the firing of guinea pig enteric sensory neurons suggests that the ENS behaves as a feed forward network whereby “… random firing became progressively more synchronized between neurons, until the network as a whole was firing in a coordinated manner” (Thomas et al., 1999).
An important observation of this study was that the propulsion of single fecal pellets along the colon generated smooth muscle action potential firing at ∼2 Hz. This suggests that regardless of whether the circumferential diameter of the colon is maintained at a fixed length (as in opened sheet preparations), or is free to change diameter as in intact tube preparations during the propulsion of content, the ENS still generates coordinated 2 Hz firing leading to smooth muscle action potentials at 2 Hz.
Conclusion
Our findings demonstrate that within the peripheral nervous system, the ENS generates a rhythmic and synchronized firing pattern that causes pulsatile release of both excitatory and inhibitory neurotransmitter(s) simultaneously onto smooth muscle, over ascending excitatory and descending inhibitory spatial fields, respectively. The firing rate between bursts of smooth muscle action potentials is directly controlled by the coordinated firing of large populations of enteric neurons.
Footnotes
This work was supported by Grants to N.J.S. (1067317 and 1127140) from the National Health and Medical Research Council of Australia.
The authors declare no competing financial interests.
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