Dual face of axonal inhibitory inputs in the modulation of neuronal excitability in cortical pyramidal neurons

2017-08-07 12:56LeiJiangHongNiQiyiWangLiHuangShidiZhaoJiandongYuRongjingGe

Lei Jiang, Hong Ni Qi-yi Wang, Li Huang Shi-di Zhao Jian-dong Yu, Rong-jing Ge

1 Department of Pathophysiology, Bengbu Medical College, Bengbu, Anhui Province, China

2 Department of General Surgery,e Second A ffi liated Hospital of Bengbu Medical College, Bengbu, Anhui Province, China

3 Department of Physiology, Bengbu Medical College, Bengbu, Anhui Province, China

4 Guangdong-Hongkong-Macau Institute of CNS Regeneration, Joint International Research Laboratory of CNS Regeneration, Ministry of Education, Jinan University, Guangzhou, Guangdong Province, China

Dual face of axonal inhibitory inputs in the modulation of neuronal excitability in cortical pyramidal neurons

Lei Jiang1,2, Hong Ni1, Qi-yi Wang3, Li Huang1, Shi-di Zhao1, Jian-dong Yu4, Rong-jing Ge1,*

1 Department of Pathophysiology, Bengbu Medical College, Bengbu, Anhui Province, China

2 Department of General Surgery,e Second A ffi liated Hospital of Bengbu Medical College, Bengbu, Anhui Province, China

3 Department of Physiology, Bengbu Medical College, Bengbu, Anhui Province, China

4 Guangdong-Hongkong-Macau Institute of CNS Regeneration, Joint International Research Laboratory of CNS Regeneration, Ministry of Education, Jinan University, Guangzhou, Guangdong Province, China

How to cite this article:Jiang L, Ni H, Wang QY, Huang L, Zhao SD, Yu JD, Ge RJ (2017) Dual face of axonal inhibitory inputs in the modulation of neuronal excitability in cortical pyramidal neurons. Neural Regen Res 12(7):1079-1085.

Graphical Abstract

Rong-jing Ge, M.D., Ph.D., cathy0471@163.com.

orcid: 0000-0002-8633-7004 (Rong-jing Ge)

Limited by the tiny structure of axons, the e ff ects of these axonal hyperpolarizing inputs on neuronal activity have not been directly elucidated. Here, we imitated these processes by simultaneously recording the activities of the somas and proximal axons of cortical pyramidal neurons. We found that spikes and subthreshold potentials propagate between somas and axons with high fi delity. Furthermore, inhibitory inputs on axons have opposite e ff ects on neuronal activity according to their temporal integration with upstream signals. Concurrent with somatic depolarization, inhibitory inputs on axons decrease neuronal excitability and impede spike generation. In addition, following action potentials, inhibitory inputs on an axon increase neuronal spike capacity and improve spike precision.ese results indicate that inhibitory inputs on proximal axons have dual regulatory functions in neuronal activity (suppression or facilitation) according to neuronal network patterns.

nerve regeneration; cortex; pyramidal neuron; soma; axon; hyperpolarization; neuronal network; feedforward inhibition; temporal integration; feedback inhibition; excitability; neural regeneration

Introduction

Additionally, receptors have been found on axons, especially on the axon initial segment and axon terminal (Sasaki et al., 2011; Trussell and Bender, 2012; Wefelmeyer et al., 2015; Gao and Heldt, 2016; Kerti-Szigeti and Nusser, 2016; Yin et al., 2017). Activation of these receptors leads to orthodromic propagation of the neuronal signal to axon terminals, which then influence subsequent neurotransmitter release (Sasaki et al., 2011). Field potentials from axon terminals also antidromically propagate back toward the soma, which can change the threshold for initiating action potentials (Paradiso and Wu, 2009). However, the roles of these receptors on proximal axons are still not clear. Structural studies have indicated that chandelier neurons, a subtype of GABAergic interneuron, have abundant projections that end on the proximal axons of pyramidal neurons in the cortex (Somogyi, 1977; Christie and De Blas, 2003; Taniguchi et al., 2013; Inan and Anderson, 2014).

These inhibitory axo-axonic synapses may have different e ff ects on the output of pyramidal neurons according to the patterns of connections between interneurons and pyramidal neurons. To test this hypothesis, we conducted paired whole-cell recordings on the somas and proximal axons of pyramidal neurons in the cortex. We found that both spikes and subthreshold potentials propagated between somas and axons with high fi delity. Hyperpolarizing potentials on axons had entirely di ff erent e ff ects on neuronal outputs depending on their temporal integration with upstream depolarization. These characteristics may play important roles in feedforward and feedback inhibitory circuits.

Materials and Methods

Animals

Twelve speci fi c-pathogen-free male FVB/N mice at postnatal day 15–20, irrespective of sex, were enrolled in this study. This study and all experiments were fully approved by the Institutional Committee of Animal Care Unit in the Beijing Administration O ffi ce of Laboratory Animals (approval No. B10831). Surgeries were performed under anesthesia, and all possible e ff orts were made to minimize su ff ering.

The study protocol was approved by the Institutional Committee of Animal Care Unit in the Beijing Administration Office of Laboratory Animals (approval No. B10831). The experimental procedure followed the United States National Institutes of Health Guide for the Care and Use of Laboratory Animal (NIH Publication No. 85-23, revised 1986), and “Consensus Author Guidelines on Animal Ethics and Welfare” produced by the International Association for Veterinary Editors (IAVE).

Brain slices

Slices from sensory cortex (300 μm) were prepared from FVB mice. Postnatal day 15–20 mice were anesthetized with an injection of chloral hydrate (300 mg/kg) and decapitated with a guillotine.e cortical slices were cut with a vibratome in modi fi ed and oxygenized (95% O2/5% CO2) artificial cerebrospinal fluid (124 mM NaCl, 3 mM KCl, 1.2 mM NaH2PO4, 26 mM NaHCO3, 0.5 mM CaCl2, 5 mM MgSO4, 10 mM dextrose, and 5 mM hydroxyethyl piperazine ethanesulfonic acid; pH 7.35) (Sinopharm Chemical Reagent Co., Ltd., Beijing, China) at 4°C and were then maintained in normal oxygenated arti fi cial cerebrospinal fl uid (126 mM NaCl, 2.5 mM KCl, 1.25 mM NaH2PO4, 26 mM NaHCO3, 2.0 mM CaCl2, 2.0 mM MgSO4, and 25 mM glucose; pH 7.35) at 35°C for 1 hour before the experiments. A slice was transferred to a submersion chamber (Warner RC-26G, Molecular Devices, CA, USA) that was perfused with normal arti fi -cial cerebrospinal fl uid for electrophysiological experiments (Ge et al., 2011, 2014).

Dual recording

We simultaneously recorded from somas and axonal blebs (Hu et al., 2009; Hu and Shu, 2012) of identical pyramidal cells in layers IV–V of cerebral cortex (MultiClapm-700B, Molecular Devices, CA, USA) under a fl uorescent/DIC microscope (Nikon FN-E600). We di ff erentiated between xonal blebs and dendritic blebs based on the process diameter and number of branches, as well as the polarity of neurons (Chen et al., 2010; Ge et al., 2014). Neuronal processes with fewer branches and fi ne diameters were categorized as axons.e electrical signals were input into a patch clamp (pClamp-10, Molecular Devices); the sampling rate was 50 kHz.

We con fi rmed that recordings were from two sites on the same neuron based on the presence of direct and corresponding electrical signals. Transient capacitance was compensated and the output bandwidth was 3 kHz.e pipette solution contained 150 mM K-gluconate, 5 mM NaCl, 0.4 mM ethylenebis (oxyethylenenitrilo) tetraacetic acid, 4 mM Mg-ATP, 0.5 mM Tris-GTP, 4 mM Na-phosphocreatine, and 5 hydroxyethyl piperazine ethanesulfonic acid (pH 7.4 adjusted by 2 M KOH) (Sinopharm Chemical Reagent Co., Ltd.). The osmolarity of the freshly made pipette solution was 295–305 mOsmol, and the pipette resistance was 10–15 MΩ.

Notably, pyramidal neuron axonal blebs formed from resealing the ends of cut axons during slice preparation. Although this preparation could be judged as an injured axon, several lines of evidence have indicated that axonal blebs are functionally intact. In axonal blebs, the resting membrane potential and action potential values are close to normal (Ge et al., 2011, 2014). Moreover, other immunohistochemical and electrophysiological study has suggested that the functions of axonal blebs are likely normal (Hu et al., 2009).

Capacity and timing precision (spike programming) are represented as the interspike interval and the standard deviation of spike timing, respectively (Guan et al., 2006; Wang et al., 2009). Data were analyzed if the recorded neurons had resting membrane potentials less than –60 mV. Additionally, data were excluded unless the changes in resting membrane potential, spike magnitude, and input resistance throughout each experiment were all less than 5%. Input resistance was monitored by measuring cell responses to hyperpolarization pulses at the same values as the depolarization that evoked spikes.

Statistical analysis

Data are presented as the mean ± SEM. All data were analyzed using SPSS 12.0 software (SPSS, Chicago, IL, USA). The parametric tests (unpairedt-test) were applied when normality (and homogeneity of variance) assumptions were satisfied. Otherwise, the equivalent non-parametric tests were used (Mann-WhitneyUtest).Pvalues less than 0.05 were considered statistically signi fi cant.

Results

Signal transmission between somas and axons

We first determined whether subthreshold potentials or sequential spikes were transmitted from somas to axons with high fi delity. In whole-cell recordings of the soma and axonal bleb (Figure 1A), subthreshold analog current and long-term square pulses were injected into somas. The subthreshold analog current induced a subthreshold potential in the soma, and the same membrane oscillation was recorded in the axon (Figure 1B). The subthreshold analog signal was reliably transmitted from the soma to the axon (both in pattern and magnitude).en, a long-term depolarizing pulse was injected into the soma to induce sequential spikes (upper panel in Figure 1C). In axonal recordings, corresponding spikes were recorded at almost the same time (lower panel in Figure 1C). Critically, subthreshold waves and sequential spikes were also faithfully propagated from the axon to the soma. With the same recording pattern as that in Figure 1, input pulses were injected into the axonal bleb and somatic responses were recorded (Figure 2). We observed that subthreshold analog waves induced membrane potential oscillations in axons (lower panel in Figure 2B). Simultaneously, a similar wave was recorded in the soma (upper panel in Figure 2B). Sequential spikes were induced by injecting long-term depolarizing pulse into axonal blebs (lower panel in Figure 2C). Corresponding sequential spikes were recorded simultaneously in the soma (upper panel in Figure 2C). Interestingly, although the same current was injected into the soma and axons, the spiking patterns were di ff erent (compare Figures 1C and 2C).

Axonal hyperpolarization impeded spike generation when the neuron is depolarized

With soma-axon paired recordings (Figure 3A), we investigated the e ff ects of axonal activity on neuronal output. A short depolarizing current was injected into the soma to evoke a spike (upper panel in Figure 3B), without any axonal input, and the induced spike was transmitted to the axon (lower panel in Figure 3B).en, we repeated the same procedure, but added a hyperpolarizing pulse (with the same intensity of the depolarizing current) applied to the axon. We found that for this combination, the pulse given to the soma failed to evoke an action potential (Figure 3C).us, when inhibitory potentials arrive at axons at the same time as upstream depolarization, neuronal excitability is reduced.

Subsequent hyperpolarization increased spike capacity and timing precision

Interspike interval (an index of spike capacity) and the standard deviation of spike timing (an index of spike timing precision) were measured by evoking sequential spikes with depolarizing currents (Wang et al., 2009). Figure 4A illustrates a repeat recording of sequential spikes in the soma. Spike intervals increase during sequential spiking, which represents greater spike capacity. However, spikes also dried, especially during the latter part, which represents reduced spike precision.

Subsequent hyperpolarization signi fi cantly increased spike capacity and spike precision in the axon. The same longterm depolarizing pulse as depicted in Figure 4A failed to induce sequential spikes in the axon (Figure 5A), and the later spikes dried across a wide range.ese results indicate that axons have poor fi ring rates and low accuracy following long-term depolarizing pulses.

Figure 5B shows that subsequent hyperpolarization following each spike markedly increased axonal spike capacity and spike precision.e interspike interval values for spike1 differed significantly between these two groups (unpairedt-test,n1 = 6,n2 = 7,P= 0.02,t= 2.81,df= 9), as did the values for spike2 (Mann-WhitneyUtest,P= 0.03,u= 3). Although the fi rst standard deviation of spike-timing values for corresponding spikes did not di ff er signi fi cantly between these two groups (unpairedt-test,P= 0.70,t= 0.40,df= 11), the second ones did (Mann-WhitneyUtest,P= 0.04,u= 7).

Discussion

Numerous studies on the subcellular components of neurons have gradually identi fi ed elaborate structures and functions (Grubb and Burrone, 2010; She ffi eld et al., 2011; Dugladze et al., 2012; Trussell and Bender, 2012). A growing number of studies have found that axons are not limited to propagating information downstream. Synaptic structures, which are mostly inhibitory, have been found in axons (Inan and Anderson, 2014; Kerti-Szigeti and Nusser, 2016; Kubota et al., 2016). In addition to dendritic input, synaptic input directly onto axons likely has a signi fi cant in fl uence on neuronal output.e present study was designed to determine the e ff ects of these axo-axonic inhibitory synapses on neuronal output. Regarding propagation, we found that action potentials and analog waves are faithfully propagated on axons (both orthodromically and antidromically).e most interesting fi ndingwas that inhibitory input onto axons has opposite effects depending on how it is temporally integrated with upstream signals. When they coincide with upstream depolarization, inhibitory inputs on axons might impede the generation of action potentials. Following spikes, inhibitory inputs on axons can increase neuronal spike capacity and spike precision.

Figure 1 Subthreshold potentials and spikes propagate from somas to axons with high fi delity.

Figure 2 Subthreshold potentials and spikes propagate from axons to somas with high fi delity.

Figure 3 Colliding with upstream depolarization, axonal hyperpolarization impeded spike generation.

Figure 4 Subsequent hyperpolarization increases spike capacity and improves spike precision on the soma.

Figure 5 Subsequent hyperpolarization signi fi cantly increases spike capacity and improves spike precision on the axon.

Figure 6 Diagrams of the sources for pyramidal axonal hyperpolarizing input.

Subcellular propagation of subthreshold potentials and spikes

Subthreshold potentials can propagate signi fi cant distances along axons. Modest upstream changes propagate orthodromically toward the axon terminal to modulate neurotransmission (Cox et al., 2000; Shu et al., 2006). Additionally, the small potentials in nerve terminals back-propagate up the axon to in fl uence spike generation (Paradiso and Wu, 2009). We observed both orthodromic and antidromic propagation of subthreshold voltage between somas and axons in our research. Furthermore, sequential spikes induced by long-term square pulses were also faithfully propagated between somas and axons. However, the sequential spikes induced at the soma have di ff erent patterns than those at axons. Compared with spikes induced on somas, spikes induced on axons are less frequent and more irregular. As mentioned in our previ-ous study, sodium channels in axons are likely inactive and di ffi cult to reactivate during sustained depolarization (Ge et al., 2014). Because of this, sustained depolarization on axons failed to induce regular sequential spikes.

Sources of axonal input and the e ff ects on neuronal excitability

Receptors have been found along axons, especially in the proximal segment and the terminal end. Receptors on axonal terminals modulate local membrane excitability and neurotransmitter release (Starke et al., 1989; Herrero et al., 1992; Smirnova et al., 1993; Ohura and Kamiya, 2016). Spraying glutamate on an axon increases the width of an axon spike (Sasaki et al., 2011). Additionally, synapses have been found on axons, especially on the axon initial segment.ese axo-axonic synapse are always GABAergic and innervated by chandelier neurons (Somogyi, 1977; Xia et al., 2014). Whether these GABAergic synapses on the axon initial segment have inhibitory or excitatory functions remains controversial (Szabadics et al., 2006; Woodru ff and Yuste, 2008; Xia et al., 2014; Spampanato et al., 2016; Saha et al., 2017a, b).

Chandelier neurons are abundant in the cortex and form feedforward and feedback circuits with pyramidal neurons (Jang et al., 2005; Woodru ff and Yuste, 2008; Inan and Anderson, 2014; Wang et al., 2016) (Figure 6). In the feedforward circuit, chandelier neurons are excited simultaneously with pyramidal neurons. At the same time, pyramidal neurons receive excitatory inputsviadendrites/soma and inhibitory inputsviathe axon initial segment. Inhibitory inputs on the axon initial segment decrease the excitability of pyramidal neurons.is hyperpolarization decreases total injected current. Whether this hyperpolarized current changes the spiking threshold needs to be veri fi ed in future studies. In the feedback circuit, pyramidal neurons excite chandelier neurons. Consequently, pyramidal neurons receive inhibitory inputs from chandelier neurons on the axon initial segment. As we observed here, this subsequent hyperpolarization increases spike capacity and spike precision of pyramidal neurons. With these feedforward and feedback models, we found that inhibitory inputs on the axon initial segment have significantly di ff erent e ff ects on neuronal excitability. Concurrent inhibitory inputs on the axon initial segment o ff set upstream excitatory inputs and impede spike generation. Spikes following inhibitory inputs promote subsequent spike generation. Previous work has shown that hyperpolarization aer spiking can accelerate the reactivation of sodium channels (Chen et al., 2006).

Coordinated communication between neurons is essential for functional neuronal networks (Zhao et al., 2012; Zhao and Wang, 2014; Maris et al., 2016). Conversely, network activity modulates both the structure and activity of single neurons during development and regeneration. During neuronal regeneration, recovering of neural activity and signal propagation are important.is study provides an e ffi cient method and informative results for the measurement of axonal function.

Conclusion

With paired recordings at somas and axons, we directly observed the e ff ects of axonal inhibitory inputs on neuronal excitability. Varied temporal integration with upstream waves and inhibitory inputs on axons regulate neuronal excitability in di ff erent ways.ese adjustments enrich the activities of neuronal networks.

Author contributions:LJ, HN, QYW, LH, SDZ, JDY and RJG contributed to the experiments and data analyses. RJG contributed to project design and paper writing. All authors approved the fi nal version of the paper.

Con fl icts of interest:None declared.

Research ethics:The study protocol was approved by the Institutional Committee of Animal Care Unit in the Beijing Administration Office of Laboratory Animals (approval No. B10831).e experimental procedure followed the United States National Institutes of Health Guide for the Care and Use of Laboratory Animal (NIH Publication No. 85-23, revised 1986), and “Consensus Author Guidelines on Animal Ethics and Welfare” produced by the International Association for Veterinary Editors (IAVE). All efforts were made to minimize the number and su ff ering of animals used in this study.e article was prepared in accordance with the “Animal Research: Reporting of In Vivo Experiments Guidelines” (ARRIVE Guidelines).

Open access statement:

Contributor agreement:A statement of “Publishing Agreement” has been signed by an authorized author on behalf of all authors prior to publication.

Plagiarism check:This paper has been checked twice with duplication-checking soware ienticate.

Peer review:A double-blind and stringent peer review process has been performed to ensure the integrity, quality and signi fi cance of this paper.

Open peer review reports:

Reviewer 1: Jun Zhao, NIH, NIMH, USA.

Comments to the author:e authors investigated how inhibitory inputs modulated axonal excitability in cortical pyramidal neurons with electrophysiological methods.ey report opposite e ff ects of inhibitory inputs on axonal signal transmission, which is an interesting and timely fi nding. The methodologies employed are fancy and sophisticated. The finding is potentially important to the clinic treatment in neural regeneration. Please see additional fi le for more details.

Additional fi le:Open peer review report 1.

Reviewer 2: Panja Debabrata, USA.

Comments to the author:is is a short article with only electrophysiology experiments and data, in the fi eld of signal processing in the Axon Initial Segment (AIS).is article should be published with changes to the text with better explanation of the model system and the rational behind using the model (how the model mimics the real scenario of recording directly from AIS) to study the inhibitory GABAergic inputs to the AIS. The authors also need to improve the presentation of the data with a microscopic picture of the dual recordings rather than only a schematic diagram. Please see additional fi le for more details.

Additional fi le:Open peer review report 2.

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Copyedited by Wang J, Li CH, Qiu Y, Song LP, Zhao M

10.4103/1673-5374.211186

Accepted: 2017-06-07

*Correspondence to: