ORIGINAL RESEARCH article

Front. Cell. Neurosci., 22 January 2025

Sec. Cellular Neurophysiology

Volume 18 - 2024 | https://doi.org/10.3389/fncel.2024.1439752

Electrophysiological properties of melanin-concentrating hormone neuron subpopulations defined by anatomical localization and CART expression

  • Division of Biomedical Sciences, Faculty of Medicine, Memorial University, St. John’s, NL, Canada

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Abstract

Introduction:

Melanin-concentrating hormone (MCH) neurons are essential regulators of energy and glucose homeostasis, sleep–wake behaviors, motivation, learning and memory. These neurons are anatomically distributed across the medial (MH) and lateral hypothalamus (LH), and the adjacent zona incerta (ZI), which may represent functional subgroups with distinct connectivity with different brain regions. Furthermore, MCH neurons can be classified according to co-expression of neuropeptides, such as cocaine and amphetamine- regulated transcript (CART).

Methods:

To identify functional similarities and differences of MCH subpopulations, we characterized their intrinsic electrophysiological properties using whole cell current clamp recording on acute brain slices from male and female mice.

Results:

MCH neurons were classified into subgroups according to their anatomical localization in three MCH-rich brain areas: MH, LH and ZI. Among the three brain regions, ZI MCH neurons were the least excitable while LH MCH neurons were the most excitable. Furthermore, grouping MCH neurons according to CART co-expression revealed that MCH/CART− cells are uniquely depolarized and excitable, and display H-currents. These MCH/CART− cells were mainly found in the LH, which may in part explain why LH MCH neurons are more excitable. While some sex differences were found, the majority of parameters investigated were not different.

Discussion:

Our results suggest that MCH/CART− cells are electrophysiologically distinct, whereas MCH/CART+ cells are largely similar despite their diffuse distribution in the hypothalamus. It is therefore a combination of intrinsic electrophysiological properties and neurochemical identities, in addition to anatomy and connectivity that are likely to be critical in defining functional subpopulations of MCH neurons.

Introduction

Melanin-concentrating hormone (MCH) is a 17-amino acid peptide that is expressed in the hypothalamus of the mammalian brain (Bittencourt, 2011). MCH-expressing neurons are distributed extensively within the hypothalamus, with particularly high density in the lateral hypothalamus (LH), the medial hypothalamus (MH), as well as the adjacent zona incerta (ZI). MCH neurons also project widely throughout the brain in a pattern consistent with the MCH1 receptor expression (Bittencourt et al., 1992; Chee et al., 2013), and these broad projections are thought to imbue MCH neurons with the ability to regulate many physiological functions including energy and glucose homeostasis, sleep, motivated behavior, memory, and mood (Qu et al., 1996; Borowsky et al., 2002; Alon and Friedman, 2006; Adamantidis et al., 2008; Kong et al., 2010; Izawa et al., 2022; Subramanian et al., 2023).

To underscore the wide range of physiological functions in which MCH neurons are involved, recent research has identified subpopulations of MCH neurons with distinct anatomical and/or neurochemical properties. A topographical organization of MCH neurons based on specific co-expressed neurochemicals (Fujita et al., 2021; Miller et al., 2024) or projection targets has been described (Chometton et al., 2014; Haemmerle et al., 2015). For example, MCH neurons that co-express cocaine and amphetamine-regulated transcript (MCH/CART+) are found predominantly in the MH and ZI, while MCH/CART− neurons are concentrated in the LH (Fujita et al., 2021; Wang et al., 2021; Miller et al., 2024). MCH/CART− neurons preferentially project toward the spinal cord, while MCH/CART+ neurons mainly send ascending inputs to innervate the cerebral cortex and medial septal complex, although some species differences have been reported (Cvetkovic et al., 2004; Croizier et al., 2010). In addition, the pattern of axonal inputs to the hypothalamus and ZI are also known to be specific to the source of projections (Fujita et al., 2021; Wang et al., 2021). Thus, MCH neurons found in different nuclei such as the LH, MH and ZI may constitute separate functional groups with distinct connectivity.

Previous studies have characterized the electrophysiological properties of MCH subpopulations subdivided by their neurochemical phenotype. These studies found differences in active and passive properties such as input resistance, action potential waveform, spike adaptation and excitatory synaptic properties between MCH neurons with or without CART expression (Fujita et al., 2021; Miller et al., 2024). Furthermore, some of these properties differ in a sex-dependent manner (Miller et al., 2024). Here, in an effort to harmonize the findings in the field, we characterized the electrophysiological properties of anatomical and neurochemical subpopulations of MCH neurons using whole-cell patch clamp. Our results add to the current understanding of the electrophysiological properties that define subpopulations of MCH neurons. These differences may be important in shaping specific patterns of activity necessary to produce certain functional outcomes.

Materials and methods

Animals

All animal experiments followed the guidelines of the Canadian Council on Animal Care and were approved by Memorial University Institutional Animal Care Committee (Protocol number 18-02-MH). C57BL/6NCrl mice were obtained from Charles River Laboratory (Quebec, Canada), while MCH-tdTomato mice were bred at Memorial University and used to visualize MCH-expressing neurons. MCH-tdTomato mice were generated by crossing a Mch-cre mouse (originally generated by Dr. Brad Lowell, Harvard University and breeders were kindly provided by Dr. Melissa Chee, Carleton University) with a cre-dependent tdTomato reporter mouse (stock number 007909, Jackson Laboratory). All mice used were 6–12 weeks old at the time of experimentation. Animals were kept on a 12/12 h light/dark cycle and fed ad libitum with standard chow.

Electrophysiology

Mice were deeply anesthetized with isoflurane and decapitated, and the brain was isolated. Coronal slices (250 μm) of the hypothalamus were obtained with the vibratome (VT-1000, Leica Microsystems) in cold artificial cerebrospinal fluid (ACSF) containing (mM): 126 NaCl, 2.5 KCl, 2 CaCl2, 1.2 NaH2PO4, 1.2 MgCl2, 18 NaHCO3, 2.5 glucose, and bubbled with 95% O2/5% CO2. Slices were then incubated at 32°C in ACSF for 30 min or in recovery solution (in mM: 92 NMDG, 2.5 KCl, 1.25 NaH2PO4, 30 NaHCO3, 20 HEPES, 25 glucose, 5 ascorbic acid, 2 thiourea, 3 sodium pyruvate, 10 MgSO4, and 0.5 CaCl2) for 15 min before being transferred into ACSF for another 15 min. Then, slices were left in ACSF at room temperature until recording. Solutions were continuously bubbled with 95% O2/5% CO2. No differences in electrophysiological parameters were found in identified MCH neurons due to the recovery solution (data not shown), thus data were combined.

Hemisected brain slices were placed in the recording chamber and perfused continuously with ACSF at 27–30°C. An infrared differential interference contrast microscope (DM LFSA, Leica Microsystems) was used to visualize neurons. Whole cell patch clamping was performed using Multiclamp 700B and pClamp 10 software (Molecular Devices). An internal solution composed of (in mM): 123 K-gluconate, 2 MgCl2, 1 KCl, 0.2 EGTA, 10 HEPES, 5 Na2ATP, 0.3 NaGTP, and 2.7 biocytin was used to fill glass electrodes with a tip resistance of 3–6 MΩ. Once whole cell mode was attained, a series of hyperpolarizing and depolarizing current (600 ms) in 50-pA or 20-pA increments was applied in current clamp mode, and resulting voltage responses were filtered at 5 kHz and acquired at 10 kHz. To test the effect of tetrodotoxin (1 μM, Alomone Labs) or ZD 7288 (50 μM, Hello Bio), aliquots of the compounds were diluted to the final concentration in ACSF and applied in the bath.

Immunohistochemistry

Following recording, immunohistochemistry was performed to confirm the neurochemical phenotype. First, brain slices were fixed in 10% neutral-buffered formalin overnight at 4°C following electrophysiology. Next, fixed slices were incubated in rabbit anti-MCH antibody (1:1000, H-070-47, Phoenix Pharmaceuticals Inc.) for 3 days at 4°C. Slices were then treated overnight with an appropriate secondary antibody and AMCA-streptavidin to visualize biocytin (1:500; 016–150-084, Jackson ImmunoResearch). For MCH-tdTomato mice, MCH peptide staining was not performed. To identify co-localization of CART in MCH neurons, brain slices were treated with a cocktail of goat anti-MCH antibody (1:500; sc14509, Santa Cruz Biotechnology Inc.) and rabbit anti-CART antibody (1:500; H-003-62, Phoenix Pharmaceuticals Inc.), followed by appropriate secondary antibodies and AMCA-streptavidin. Stained sections were imaged using a confocal or epifluorescence microscope to identify the co-localization of biocytin with MCH or tdTomato and CART. Only cells that were confirmed to be MCH neurons (i.e., MCH-immunoreactive or tdTomato-positive) were included in the analysis.

Data analysis

Membrane capacitance (Cm) and resistance (Rm) were measured in voltage clamp mode by applying 5-mV step pulses at a holding potential of −70 mV using the membrane test function of pClamp. Membrane time constant (τ) was calculated as τ = Cm × Rm. Unique electrophysiological responses to hyperpolarizing and depolarizing current injections were used to identify putative MCH neurons (Parsons and Hirasawa, 2011; Linehan et al., 2015) and to assess active and passive membrane properties using Clampfit 10 (Molecular devices) as previously described (Linehan and Hirasawa, 2018). Briefly, the number of action potentials (APs) and the latency to first spike were assessed during 600-ms positive current injections. AP waveform was analyzed using the following definitions: AP threshold was the membrane potential where the slope of the trace reached 10 mV/ms; AP amplitude was the membrane potential from the baseline to the peak, where baseline was defined as the membrane potential 30 ms before the threshold; half-width was the time between the rise and decay phase of AP at half amplitude; and after hyperpolarization (AHP) amplitude was the difference between baseline and the peak of AHP. If no AP was elicited, the duration of the current injection (600 ms) was assigned as the latency and AP waveform analysis was not performed. In case an AP was fired immediately after the start of positive current injection, the second AP was analyzed; otherwise, the first AP was used for AP waveform analysis. Voltage sag/H-current amplitude was the difference between the peak of membrane hyperpolarization and the steady-state membrane potential at the end of hyperpolarizing current injections. H-current density was calculated by dividing H-current amplitude by Cm. All recorded membrane potentials were corrected for liquid junction potential (−14.9 mV according to pClamp LJP calculator). Cells with series/access resistance greater than 25 MΩ were excluded from analysis.

Statistical tests were performed using Prism 9 (GraphPad Software Inc), p < 0.05 was considered significant. Two-way ANOVA (ordinary or repeated measures) was performed to compare multiple groups in both sexes and when significant main effect or interaction was found, Tukey’s multiple comparison test was performed. One-way ANOVA was used when male and female cells were pooled. Simple linear regression analysis was performed to assess for any correlation between two factors. Kruskal–Wallis test was used for assessing H-currents in different cell subgroups. The sample size and main effects are indicated in Table 1 and figure legend, while the post-test results are shown in the figures. Results are presented as mean ± SEM. Quantile–quantile (Q–Q) plots of indicated variables were generated in Prism 9 and are shown in Supplementary Figure S1.

Table 1

Figure panelSample size
cells (n)/animals (N)
Test(s)p-value, R2F, t
Figure 2
2B
Cm
Male ZI = 27/19
Female ZI = 10/7
Male LH = 22/12
Female LH = 17/7
Male MH = 23/17
Female MH = 14/9
2 way
ANOVA
Interaction: 0.3659
Area: 0.0006
Sex: 0.6498
Interaction: F(2,107) = 1.015
Area: F(2,107) = 7.931
Sex: F(1,107) = 0.2073
2C
Rm
Male ZI = 26/18;
Female ZI = 10/7
Male LH = 22/12
Female LH = 17/7
Male MH = 23/17
Female MH = 14/9
2 way ANOVAInteraction: 0.3453
Area: 0.0733
Sex: 0.8782
Interaction: F(2,106) = 1.074
Area: F(2,106) = 2.678
Sex: F(1,106) = 0.02360
2D
Time const
Male ZI = 27/19
Female ZI = 10/7
Male LH = 22/12
Female LH = 17/7
Male MH = 23/17
Female MH = 14/9
2 way ANOVAInteraction: 0.3876
Area: 0.0001
Sex: 0.7912
Interaction: F(2,107) = 0.9562
Area: F(2,107) = 10.04
Sex: F(1,107) = 0.07042
2E
RMP
2 way ANOVAInteraction: 0.8973
Area: 0.0025
Sex: 0.6472
Interaction: F(2,107) = 0.1085
Area: F(2,107) = 6.344
Sex: F(1,107) = 0.2106
2FMale ZI = 27/19
Female ZI = 10/7
Simple linear regressionMale ZI:
p = 0.8143. R2 = 0.002248
Female ZI:
p = 0.3884. R2 = 0.09417
Male ZI vs. Female ZI
Slopes p = 0.4225
Male: F(1,25) = 0.05632
Female: F(1,8) = 0.8317
Slopes F(1,33) = 0.6598
2GMale ZI:
p = 0.0147. R2 = 0.2237
Female ZI:
p = 0.2338. R2 = 0.1717
Male ZI vs. Female ZI slopes p = 0.9235
Male ZI: F(1,24) = 6.917
Female ZI: F(1,8) = 1.658
Slopes F(1,32) = 0.009361
2HMale ZI:
p = 0.0021. R2 = 0.3192
Female ZI:
p = 0.0839. R2 = 0.3275
Male ZI vs. Female ZI slopes p = 0.9039
Male ZI: F(1,25) = 11.72
Female ZI: F(1,8) = 3.896
Slopes F(1,33) = 0.01480
2IMale LH = 22/12
Female LH = 17/7
Simple linear regressionMale LH:
p = <0.0001. R2 = 0.5676
Female LH:
p = 0.0089. R2 = 0.3757
Male LH vs. Female LH
p = 0.7107
Male LH: F(1,20) = 26.25
Female LH: F(1,15) = 9.026
Slopes F(1,35) = 0.1398
2JMale LH:
p = 0.0088. R2 = 0.2965
Female LH:
p = 0.7819. R2 = 0.005270
Male LH vs. Female LH
p = 0.0825
Male LH: F(1,20) = 8.430
Female LH: F(1,15) = 0.07946
Slopes F(1,35) = 3.196
2KMale LH:
p = 0.3192. R2 = 0.04959
Female LH:
p = 0.0767. R2 = 0.1941
Male LH vs. Female LH
p = 0.6499
Male LH: F(1,20) = 1.044
Female LH: F(1,15) = 3.614
Slopes F(1,35) = 0.2096
2LMale MH = 23/17
Female MH = 14/9
Simple linear regressionMale MH:
p = 0.9651. R2 = 9.328e-005
Female MH:
p = 0.1818. R2 = 0.1434
Male MH vs. Female MH
p = 0.3163
Male MH: F(1,21) = 0.001959
Female MH: F(1,12) = 2.009
Slopes F(1,33) = 1.036
2MMale MH:
p = 0.6313. R2 = 0.01117
Female MH:
p = 0.9456. R2 = 0.0004050
Male MH vs. Female MH
p = 0.8032
Male MH: F(1,21) = 0.2371
Female MH: F(1,12) = 0.004863
Slopes F(1,33) = 0.06314
2NMale MH:
p = 0.6993. R2 = 0.007248
Female MH:
p = 0.2909. R2 = 0.09233
MH vs. Female MH
p = 0.7175
Male MH: F(1,21) = 0.1533
Female MH: F(1,12) = 1.221
Slopes F(1,33) = 0.1332
Figure 3
3A
Latency
Male ZI = 27/19
Female ZI = 10/7
Male LH = 22/12
Female LH = 17/7
Male MH = 23/17
Female MH = 14/9
2 way ANOVAInteraction: 0.3383
Area: 0.0122
Sex: 0.8042
Interaction: F(2,105) = 1.095
Area: F(2,105) = 4.595
Sex: F(1,105) = 0.06178
3B
AP freq
2 way ANOVAInteraction: 0.0025
Area: 0.0001
Sex: 0.1972
Interaction: F(2,105) = 6.350
Area: F(2,105) = 12.21
Sex: F(1,105) = 1.684
3C
Threshold
Male ZI = 6/5
Female ZI = 3/3
Male LH = 17/9
Female LH = 7/5
Male MH = 13/11
Female MH = 10/6
2 way ANOVAInteraction: 0.1532
Area: 0.4156
Sex: 0.4449
Interaction: F(2,50) = 1.948
Area: F(2,50) = 0.8937
Sex: F(1,50) = 0.5931
3D
AP amp
2 way ANOVAInteraction: 0.6724
Area: 0.1654
Sex: 0.5805
Interaction: F(2,50) = 0.4001
Area: F(2,50) = 1.866
Sex: F(1,50) = 0.3095
3E
AHP amp
2 way ANOVAInteraction: 0.1415
Area: 0.2845
Sex: 0.2127
Interaction: F(2,50) = 2.034
Area: F(2,50) = 1.289
Sex: F(1,50) = 1.594
3F
Half width
2 way ANOVAInteraction: 0.5851
Area: 0.0279
Sex: 0.0808
Interaction: F(2,50) = 0.5418
Area: F(2,50) = 3.846
Sex: F(1,50) = 3.176
Figure 4
4B
AP freq
ZI = 8/7
LH =11/7
MH = 9/8
2 way ANOVAInteraction: 0.0006
Driving current: <0.0001
Area: 0.0757
Interaction: F(6,72) = 4.491
Driving current: F(3,72) = 100.5
Area: F(2,24) = 2.880
4C
Latency
2 way ANOVAInteraction: 0.0385
Driving current: <0.0001
Area: 0.1384
Interaction: F(6,72) = 2.364
Driving current: F(3,72) = 56.92
Area: F(2,24) = 2.150; 0.1384
4D
Threshold
1-way ANOVA0.0065F(2,25) = 6.197
4E
AP amp
1-way ANOVA0.0487F(2,25) = 3.420
4F
half width
1-way ANOVA0.0187F(2,24) = 4.719
4G
AHP amp
1-way ANOVA0.0211F(2,24) = 4.548
Figure 6
6B
Cm
Males
LH CART− = 15/8
LH CART+ = 4/3
ZI CART+ = 20/13
MH CART+ = 12/8
Females
LH CART− = 9/4
LH CART+ = 8/3
ZI CART+ = 9/7
MH CART+ = 14/8
2 way ANOVAInteraction: 0.3273
Area: 0.0002
Sex: 0.5952
Interaction: F(3,83) = 1.167
Area: F(3,83) = 7.179
Sex: F(1,83) = 0.2844
6C
Rm
2 way ANOVAInteraction: 0.5018
Area: 0.0721
Sex: 0.5006
Interaction: F(3,83) = 0.7920
Area: F(3,83) = 2.417
Sex: F(1,83) = 0.4576
6D
Tau
2 way ANOVAInteraction: 0.2609
Area: 0.0009
Sex: 0.3840
Interaction: F(3,83) = 1.360
Area: F(3,83) = 6.056
Sex: F(1,83) = 0.7658
6E
RMP
2 way ANOVAInteraction: 0.3693
Area: <0.0001
Sex: 0.7731
Interaction: F(3,83) = 1.063
Area: F(3,83) = 9.134;
Sex: F(1,83) = 0.08370
6F
AP freq
Males
LH CART− = 15/8
LH CART+ = 4/3
ZI CART+ = 20/13
MH CART+ = 12/8
Females
LH CART− = 8/4
LH CART+ = 8/3
ZI CART+ = 9/7
MH CART+ = 14/8
2 way ANOVAInteraction: 0.3144
Area: <0.0001
Sex: 0.5726
Interaction: F(3,82) = 1.202
Area: F(3,82) = 15.00
Sex: F(1,82) = 0.3210
6G
Latency
2 way ANOVAInteraction: 0.4103
Area: <0.0001
Sex: 0.3908
Interaction: F(3,82) = 0.9715
Area: F(3,82) = 11.00
Sex: F(1,82) = 0.7444
6H
Adaptation
CART−M = 12/7
CART−F = 6/4
CART+M = 9/9
CART+F = 8/6
2 way ANOVAInteraction: 0.3382
CART: 0.0101
Sex: 0.1169
Interaction: F(1,30) = 0.9474
CART: F(1,30) = 7.538
Sex: F(1,30) = 2.606
6I
Threshold
CART−M = 12/7
CART−F = 6/4
CART+M = 13/12
CART+F = 14/10
2 way ANOVAInteraction: 0.1708
CART: 0.6658
Sex: 0.6345
Interaction: F(1,41) = 1.943
CART: F(1,41) = 0.1893
Sex: F(1,41) = 0.2295
6J
AP amp
2 way ANOVAInteraction: 0.7551
CART: 0.5465
Sex: 0.2761
Interaction: F(1,41) = 0.09861
CART: F(1,41) = 0.3697
Sex: F(1,41) = 1.218
6K
AHP amp
2 way ANOVAInteraction: 0.2342
CART: 0.4778
Sex: 0.8184
Interaction: F(1,41) = 1.458
CART: F(1,41) = 0.5132
Sex: F(1,41) = 0.05338
6L
Half width
2 way ANOVAInteraction: 0.7601
CART: 0.0128
Sex: 0.0490
Interaction: F(1,41) = 0.09445
CART: F(1,41) = 6.781
Sex: F(1,41) = 4.118
Figure 7
7AMales
LH CART− = 14/8
LH CART+ = 4/3
ZI CART+ = 19/13
MH CART+ = 12/8
Kruskal–Wallis testp < 0.0001
7BFemales
LH CART− = 7/4
LH CART+ = 8/3
ZI CART+ = 9/7
MH CART+ = 14/9
Kruskal–Wallis testp < 0.0001
7CMales
LH CART− = 14/8
LH CART+ = 4/3
ZI CART+ = 19/13
MH CART+ = 12/8
2 way ANOVAInteraction: <0.0001
Current: 0.0008
Area: <0.0001
Interaction: F(9,135) = 8.352
Current: F(3,135) = 5.948
Area: F(3,45) = 13.12
7DFemales
LH CART− = 7/4
LH CART+ = 8/3
ZI CART+ = 9/7
MH CART+ = 14/9
2 way ANOVAInteraction: 0.0081
Current: 0.0203
Area: <0.0001
Interaction: F(9,136) = 2.614
Current: F(3,136) = 3.375
Area: F(3,136) = 15.89
7EMales
LH CART− = 14/8
LH CART+ = 4/3
ZI CART+ = 19/13
MH CART+ = 12/8
Females
LH CART− = 7/4
LH CART+ = 8/3
ZI CART+ = 9/7
MH CART+ = 14/9
2 way ANOVAInteraction: 0.9288
Current: <0.0001
Area: 0.7350
Interaction: F(3,79) = 0.1509
Current: F(3,79) = 15.68
Area: F(1,79) = 0.1153
7GCART− 5/32 way RM ANOVAInteraction: 0.0886 Treatment: 0.0177
Current: 0.0886
Interaction: F(9,36) = 1.871
Treatment: F(1,4) = 15.14
Current: F(9,36) = 1.871
7HLinear regressionBaseline:
p< 0.0001, R2 = 0.9809 + ZD7288: p< 0.0001,R2 = 0.9974
Slopes <0.0001
Baseline: F(1,63) = 3,238;
+ZD7288: F(1,62) = 23,916
Slopes F (1,125) = 35.27
7ICART+ = 4/32 way RM ANOVAInteraction: 0.5941
Treatment: 0.2500
Current: 0.5317
Interaction: F(9,27) = 0.8310
Treatment: F(1,3) = 2.024
Current: F(9,27) = 0.9091
7KCART− = 21/12
CART− depol = 7/7
CART− hyperpol = 54/22
1 way ANOVA<0.0001F(2,79) = 27.24
7LMales
LH CART− = 14/8
LH CART+ = 4/3
ZI CART+ = 19/13
MH CART+ = 12/8
2 way ANOVAInteraction: <0.0001
Current: <0.0001
Area: <0.0001
Interaction: F(12,180) = 21.01
Current: F(4,180) = 209.3
Area: F(3,45) = 10.83
7MFemales
LH CART− = 7/4
LH CART+ = 8/3
ZI CART+ = 9/7
MH CART+ = 14/9
2 way ANOVAInteraction: <0.0001
Current: <0.0001
Area: 0.0368
Interaction: F(12,136) = 15.90
Current: F(1.265,43.02) = 282.9
Area: F(3,34) = 3.166

Sample size and statistical test information. p-values that reached significance (i.e. p<0.05) are bolded.

Results

Melanin-concentrating hormone neurons, visualized by immunohistochemistry or tdTomato expression, were distributed in loose clusters in three anatomical areas (Figure 1A), namely the ZI, LH (ventral to the ZI and lateral to the fornix), and the MH (medial to the fornix). We performed patch clamp recordings of MCH neurons (Figure 1B) and classified them into subgroups according to their localization in these three anatomical areas for comparison of their electrophysiological properties (Figure 2A).

Figure 1

Figure 2

Among the passive membrane properties examined, no effect of sex was observed (main effect and interaction), while area differences were found in membrane capacitance (Cm) and time constant (τ) but not in membrane resistance (Rm) (Figures 2B–D). ZI cells had a greater Cm, which corresponded with a larger soma area of biocytin-filled cells in the ZI (Supplementary Figure S2), suggesting that the difference in soma size accounts for the larger Cm. Area-dependent differences were also seen in the resting membrane potential (RMP, Figure 2E). The application of a voltage-gated Na+ channel blocker tetrodotoxin did not alter RMP, thus this area difference is due to intrinsic properties (Supplementary Figure S3). As the RMP values were highly variable within each group, regression analysis between RMP and other passive membrane properties was performed (Figures 2F–N). We found that in male ZI cells, RMP was negatively correlated with Rm or time constant (Figures 2G,H), suggesting that hyperpolarized ZI cells may have greater membrane permeability at rest. RMP of LH cells was negatively correlated with Cm in both males and females (Figure 2I), whereas RMP and Rm were positively correlated in male LH cells (Figure 2J). Thus, depolarized cells in the LH may be smaller and have higher membrane resistance. No significant correlation between RMP and other measures were found in the MH.

When stimulated by positive driving current injections, the latency and frequency of elicited AP were also found to be different among the areas (Figures 3A,B and Supplementary Figure S4). Specifically, ZI MCH neurons were the least excitable with hyperpolarized RMP and less evoked firing, while LH MCH neurons were the most excitable, particularly those of male mice. The AP waveform was analyzed for cells that fired APs during positive driving currents, which revealed that AP threshold, AP amplitude and AHP amplitude were similar among spatially-defined groups and between sexes (Figures 3C–E). The AP half-width, however, was shorter in LH cells without differences between the sexes (Figure 3F).

Figure 3

We noted that approximately half of MCH neurons recorded remained silent when challenged with positive current injections, even during the maximum driving current used in this study (+200 pA). Thus, to further assess the electrophysiological properties of MCH neurons, a subset of these neurons was held at a subthreshold potential (−65 mV) and then positive driving currents were applied (Figure 4). As no difference in RMP was found between male and females in the three anatomical regions, cells from both sexes were combined for this assessment. We found that MCH neurons within different brain areas had distinct levels of excitability, as measured by AP frequency (Figure 4B) and the first spike latency (Figure 4C). Specifically, ZI-MCH neurons were less excitable than those in other areas despite being held at the same baseline holding potential. An AP waveform analysis of these recordings revealed area-dependent differences in AP threshold, half-width and AHP amplitude, but not AP amplitude (Figures 4D–G).

Figure 4

Another way to classify MCH neurons is by the co-expression of CART. CART expression was found in regions with a high concentration of MCH neurons (Figure 5A). Most CART immunopositive (CART+) MCH neurons were found localized to the ZI and MH, while double staining was far less common in the LH. Consequently, we were only able to conduct electrophysiological assessment on MCH/CART− cells within the LH, which were then compared to MCH/CART+ cells in all three regions (Figures 5B,C, 6A).

Figure 5

Figure 6

This comparison of MCH neuron subgroups revealed a significant difference in Cm and time constant without any difference in Rm (Figures 6B–D), corroborating our initial finding that ZI CART+ cells were larger (i.e., larger membrane area). There was a striking difference in RMP, where LH CART− cells had a more depolarized RMP than CART+ cells in all three regions (Figure 6E). Furthermore, when APs were evoked by depolarizing currents, LH CART− cells had a shorter firing latency and fired more frequently than CART+ cells (Figures 6F,G and Supplementary Figure S5).

For additional analysis of APs, data from different anatomical regions were combined, as MCH/CART+ cells were less excitable and often did not fire any APs. Among the cells that fired at least four APs, which allowed the assessment of the spike adaptation ratio, CART+ cells were found to show greater adaptation than CART− cells, particularly in males (Figure 6H). A comparison of the AP waveform found no differences in AP threshold, AP amplitude or AHP amplitude according to the neurochemical identity or sex (Figures 6I–K). However, a main effect of CART expression and sex were found for the AP half-width (Figure 6L). Taken together, these results indicate that MCH/CART− cells in LH are more excitable than MCH/CART+ cells in LH, ZI and MH, whereas MCH/CART+ cell have similar electrophysiological properties regardless of their location.

One of the hallmarks of MCH neurons is the lack of an H-like current (Fang et al., 2023; Belanger-Willoughby et al., 2016). Surprisingly, however, some MCH neurons displayed a voltage sag, defined as the difference between the peak membrane potential and subsequent stead-state potential reached upon injection of hyperpolarizing currents, which was specific to CART− neurons in both males and females. MCH/CART+ neurons did not show any voltage sag regardless of anatomical region (Figures 7A–E). This voltage sag was inhibited by the H-current inhibitor ZD 7288 (Figures 7F–H).

Figure 7

Since MCH/CART− neurons had relatively depolarized RMP, it is possible that this is a characteristic of depolarized MCH neurons regardless of CART expression. However, we found that MCH/CART+ neurons, either depolarized (RMP > −70 mV), like CART− cells, or hyperpolarized (RMP < −80 mV), did not show a significant H-current (Figures 7J,K). Thus, H-current is a unique feature of MCH/CART− neurons, which has previously gone unnoticed.

Another unique feature of MCH neurons is inward rectification at negative membrane potentials. The steady-state membrane potential reached during a series of current injections displayed inward rectification in MCH/CART+ cells, which was more prominent than that in MCH/CART− cells in both males and females (Figures 7L,M), in agreement with a previous study (Miller et al., 2024).

Discussion

The present study shows that discrete subpopulations of MCH neurons have distinct electrophysiological characteristics. Our primary finding denotes MCH neurons found in the LH to be more excitable than those found in the ZI or MH. When these cells were held at the same subthreshold potential, this difference in excitability between LH and ZI cells persisted, whereas MH cells became as excitable as LH cells. AP properties were similar between MH and LH cells, while ZI cells had a depolarized AP threshold. The higher AP threshold of ZI MCH neurons explains why these cells are less excitable than those in the other two regions. On the other hand, a modest difference in the firing response between MH and LH neurons may be due to some differences in active conductance that are yet to be investigated.

Another key finding of this study is that a subset of MCH neurons co-expressing CART have different electrophysiological properties compared to those devoid of CART. The previously described general electrophysiological properties of MCH neurons include a relatively hyperpolarized RMP, lack of spontaneous activity at rest, A-type current, spike adaptation upon injecting positive current, and absence of an H-current (Eggermann et al., 2003; Van Den Pol et al., 2004; Belanger-Willoughby et al., 2016). In our study, MCH/CART+ neurons displayed these aforementioned characteristics, consistent with previous studies. On the other hand, MCH/CART− neurons were relatively depolarized at rest and fired more APs upon stimulation with driving currents. As MCH/CART− neurons were primarily localized in the LH and sparsely elsewhere, their unique electrophysiological properties likely accounted for the area-dependent differences. Supporting this notion is our finding that the electrophysiological properties of MCH/CART+ neurons are largely the same across anatomical areas.

A striking feature specific to MCH/CART− neurons found in our study is the H-current. H-current is mediated by the hyperpolarization-activated cyclic nucleotide gated (HCN) channels, which are regulated by the second messenger cyclic AMP (cAMP) (Lüthi and McCormick, 1998; Wang et al., 2002). Thus, the presence of HCN channels provides a mechanism for neuromodulators acting via a cAMP-dependent pathway, such as adenosine and norepinephrine, to modulate this subpopulation of MCH neurons.

We also found that MCH/CART− neurons had a shorter AP half-width, which is consistent with a previous report (Fujita et al., 2021). Furthermore, another study found an intense spike adaptation in MCH/CART+ cells but not in MCH/CART− cells (Miller et al., 2024), which is in accordance with our finding that MCH/CART+ cells display a greater spike adaptation. However, this report did not find differences in the RMP of MCH/CART+ and MCH/CART− cells (Miller et al., 2024). This contrasts with our result showing significantly depolarized RMP of MCH/CART− neurons in the LH. The reasons for this discrepancy are unclear, but may include limiting the sampling of MCH/CART− neurons within the LH in our study, different chemical compositions of solutions used or housing conditions such as diet and room temperature.

Taken together, our study shows that MCH/CART− neurons in the LH are equipped with ionic mechanisms that allow them to be more excitable, including a depolarized RMP, H-current, and minimal spike adaptation. On the other hand, MCH/CART+ cells have largely similar electrophysiological properties, despite their relatively diffuse distribution across the hypothalamus and the zona incerta. This indicates that functional distinctions among these cells are more likely dependent on their extrinsic characteristics. It is worth noting that the hypothalamus receives inputs from diverse brain regions, some of which are spatially segregated, with the LH, MH and ZI receiving distinct range of inputs (Fujita et al., 2021; Wang et al., 2021). Conversely, MCH/CART+ and MCH/CART− neurons have different projection patterns (Cvetkovic et al., 2004). Specifically, MCH/CART+ neurons follow an ascending path to cortical areas, while MCH/CART− neurons project more caudally, innervating the brainstem and spinal cord. Thus, MCH neurons within different anatomical localization may constitute a unique functional subgroup with discrete connectivity within a broader network. Therefore, accurate reporting of the anatomical and/or neurochemical features of MCH neurons in future studies would enhance our understanding of the MCH system.

Statements

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The animal study was approved by Memorial University Institutional Animal Care Committee. The study was conducted in accordance with the local legislation and institutional requirements.

Author contributions

RA: Formal analysis, Investigation, Writing – original draft. MC: Investigation, Formal analysis, Writing – review & editing. LF: Writing – review & editing, Conceptualization, Investigation. MH: Writing – review & editing, Conceptualization, Formal analysis, Funding acquisition, Supervision, Validation, Visualization, Writing – original draft.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was funded by the Canadian Institutes of Health Research (CIHR) Project Grant (PJT-153173) to MH. LF was a recipient of the CIHR Doctoral Award.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fncel.2024.1439752/full#supplementary-material

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Summary

Keywords

melanin-concentrating hormone (MCH), intrinsic excitability, cocaine and amphetamine-regulated transcript (CART), hypothalamus, zona incerta, H-current, whole cell patch clamp

Citation

Adekunle RD, Chowdhury MS, Fang LZ and Hirasawa M (2025) Electrophysiological properties of melanin-concentrating hormone neuron subpopulations defined by anatomical localization and CART expression. Front. Cell. Neurosci. 18:1439752. doi: 10.3389/fncel.2024.1439752

Received

28 May 2024

Accepted

24 December 2024

Published

22 January 2025

Volume

18 - 2024

Edited by

Richard Anthony DeFazio, University of Michigan, United States

Reviewed by

Seyed Asaad Karimi, University of Toronto, Canada

Sara Nencini, Italian Institute of Technology (IIT), Italy

Updates

Copyright

*Correspondence: Michiru Hirasawa,

†These authors have contributed equally to this work

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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