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Research ArticleResearch Article: New Research, Neuronal Excitability

Reciprocal Changes in Voltage-Gated Potassium and Subthreshold Inward Currents Help Maintain Firing Dynamics of AVPV Kisspeptin Neurons during the Estrous Cycle

J. Rudolph Starrett, R. Anthony DeFazio and Suzanne M. Moenter
eNeuro 12 August 2021, 8 (5) ENEURO.0324-21.2021; https://doi.org/10.1523/ENEURO.0324-21.2021
J. Rudolph Starrett
1Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI 48109
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R. Anthony DeFazio
1Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI 48109
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Suzanne M. Moenter
1Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI 48109
2Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI 48109
3Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109
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Article Figures & Data

Figures

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  • Figure 1.
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    Figure 1.

    Total voltage-dependent K+ current in AVPV kisspeptin neurons has three distinct components. A, Representative total K+ current in response to the voltage-clamp protocol shown. B, Representative recording of total K+ current from a different cell in response to the voltage protocol shown; both a slowly-inactivating and residual (sustained) component are evident during the extended prepulse. C, Expansions of the areas within the dashed boxes in B, showing the change in inactivation rates as more depolarizing prepulses are applied (left), and how this affects both activation and inactivation during the test pulse (right). D, Mean ± SEM peak current density in cells from mice in diestrus (black symbols) and proestrus (magenta symbols). Error bars are smaller than symbols for some values.

  • Figure 2.
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    Figure 2.

    Potassium current recorded from three different cells before and during application of potassium channel blockers. A, 20 mm TEA. B, 5 mm 4-AP. C, Time control.

  • Figure 3.
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    Figure 3.

    4-AP-resistant slow-transient voltage-dependent K+ current is larger on diestrus. A, Representative traces (top) in response to the activation voltage-clamp protocol (bottom) in the presence of 5 mm 4-AP. B, Representative traces (top) in response to the inactivation voltage-clamp protocol (bottom). Offline leak subtraction was applied to test pulses only, hence the Cm transient is visible at the start of the recording. C, Mean ± SEM peak current density from cells in mice in diestrus (black symbols) and proestrus (magenta symbols). D, Mean ± SEM normalized conductance. Solid lines are Boltzmann fits to the mean data. E, Individual values and mean ± SEM parameters obtained from Boltzmann fits to normalized conductance curves for each cell. F, G, Representative traces (top) in response to the voltage-clamp protocol (bottom) used to measure the time dependence of inactivation (F) and recovery (G). Arrow denotes peak of fast transient current. H, Mean ± SEM normalized peak current versus prepulse duration for time dependence of inactivation (inact) and recovery from inactivation. Error bars are smaller than symbols for some values; *p < 0.05.

  • Figure 4.
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    Figure 4.

    TEA-resistant fast-transient voltage-dependent K+ current has a depolarized inactivation curve during proestrus. A, left, Representative unsubtracted K+ current (top) in response to the voltage-clamp protocol (bottom) in presence of 20 mm TEA. Middle, Residual current in the same cell with a −30-mV prepulse. Right, Fast transient current yielded by subtracting residual current from raw current. B, Mean ± SEM peak current density in cells from mice in diestrus (black symbols) and proestrus (magenta symbols). C, Mean ± SEM normalized conductance. Solid lines represent Boltzmann sigmoidal fits to the mean data for the fast transient, dashed lines are the fits for the residual current. D, Individual values and mean ± SEM parameters obtained from Boltzmann fits to normalized conductance curves for each cell. E, F, Representative traces (top) in response to the voltage-clamp protocol (bottom) used to measure the time dependence of inactivation (E) and recovery (F). G, Mean ± SEM normalized peak current versus prepulse duration for time dependence of inactivation (inact) and recovery from inactivation. Error bars are smaller than symbols for some values; *p < 0.05.

  • Figure 5.
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    Figure 5.

    Potassium conductance model output versus experimental data for voltage steps. Rainbow colors indicate mean ± SEM current traces recorded at different test potentials; black lines show model simulations. In each panel, diestrus is on the left and proestrus on the right. A, Slow (voltage protocol as in Fig. 3A). B, Fast (voltage protocol as in Fig. 4A). C, Residual (voltage protocol as in Fig. 4A).

  • Figure 6.
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    Figure 6.

    Conductance models versus data for steady state activation/inactivation and current density experimental data. A–C, Steady state activation/inactivation curves calculated from voltage-clamp simulations (dashed lines) compared with corresponding mean ± SEM experimental data (symbols) from diestrous (black) and proestrous (magenta) groups. D–F, Peak current density for various conductances. Experimental data for K+ current subcomponents are the same as in Figures 3, 4 and replotted here for ease of comparison. Data points for NaP (E) and CaT (C, F) are adapted from Wang et al. (2016).

  • Figure 7.
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    Figure 7.

    Reconstruction of the total K+ current from the sum of the three subcomponents. A, Peak current density when Ifast, Islow, and Iresid are simulated together in the same model (dashed lines) after g¯ optimization to correct for suppression by TEA/4-AP. Mean ± SEM symbols (black: diestrus, magenta: proestrus) and voltage-clamp protocols are the same as shown in Figure 1A,D and are reproduced for ease of comparison. B, Mean ± SEM experimental current traces at different test pulses (rainbow colors) and model simulation (black).

  • Figure 8.
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    Figure 8.

    Simulations of firing from a baseline of −70 mV. A, Performance of diestrous (black) and proestrous (magenta) models in response to −30 pA (top), +6 pA (middle), and +28 pA (bottom) applied current. Boxed regions are shown with expanded axes in the indicated subfigure. B, Posthyperpolarization rebound of diestrous and proestrous models from panel A. C, Rheobase action potentials for both models (dashed lines) from A (middle) and experimental counterparts (solid lines, mean ± SEM). D, F-I curves for diestrous and proestrous models (lines) and experimental counterparts (circles are means, shading is SEM). E, F-I performance of hybrid models in which one or multiple K+ conductances in the diestrous model was substituted for a proestrous counterpart. Non-hybrid models from part D (di full and pro full) are reproduced here to facilitate comparison in this panel as well as F, G. F, F-I performance of hybrid models in which one or multiple subthreshold depolarizing currents in the diestrous model were replaced with proestrous counterparts. G, Rebound bursting performance of hybrid models in response to −30-pA current injection.

Tables

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    Table 1

    Passive properties and statistical comparisons

    By cycle stageDiestrusProestrus Mann–Whitney UDiffp
    Rs (MΩ)15.8 ± 0.315.5 ± 0.42601−0.17740.57
    Rinput (MΩ)1045 ± 46.3917.1 ± 59.42265−86.680.07
    Cm (pF)17.3 ± 0.518.1 ± 0.725250.67040.4
    Ihold (pA)−21.6 ± 2−19.7 ± 2.926010.09170.57
    By drugNone (total)4-AP (slow)TEA (fast)Kruskal–WallisDiffp
    16.58;
    Rs (MΩ)15.7 ± 0.516.4 ± 0.415 ± 0.54.87−6.1370.09
    10.41
    Rinput (MΩ)816.8 ± 50.01158 ± 86.41179 ± 84.416.31−22.91<0.001
    −25.98
    −3.074;
    Cm (pF)16.6 ± 0.718.2 ± 0.917.4 ± 0.81.53−8.1390.47
    −6.148
    1.991;
    Ihold (pA)−18.7 ± 4.1−26.6 ± 2.2−18.9 ± 3.33.154−0.75430.21
    −12.02
    −11.27
    • View popup
    Table 2

    Two-way ANOVA analyses of K+ current properties

     n cells,
    n animals
    Estrous stageEstrous stage × Vm or
    duration interaction
    Totaldipro  
     Density10, 417,5Diff, −15.42 [CI −40.49, 9.660] F(1,25) = 1.603; p = 0.217F(11,275) = 0.6496 p = 0.785
    Slow    
     Density12, 513, 5Diff, 24.07 [CI −5.523, 53.66] F(1,23) = 6.503; p = 0.106F(8,184) = 10.03 p < 0.001
     Activation12, 513, 5Diff, −0.01901 [CI −0.06921, 0.03120] F(1,25) = 5.283; p = 0.442F(11,275) = 3.336 p = 0.169
     Inactivation9, 412, 5Diff, −0.0009547 [CI −0.06269, 0.06078] F(1,20) = 0.1782; p = 0.975F(12,240) = 0.1988 p > 0.999
     Rate of inactivation10, 79, 4Diff, −0.03472 [CI −0.08026, 0.01082] F(1,17) = 2.587; p = 0.126F(14,238) = 1.336 p = 0.187
     Rate of recovery9, 513, 5Diff, −0.05901 [CI −0.09461, −0.02342] F(1,20) = 10.52; p = 0.002F(14,280) = 4.006 p < 0.001
    Fast    
     Density11, 413, 4Diff, −6.607 [CI −22.53, 9.317] F(1,22) = 0.7404; p = 0.399F(11,242) = 0.9366 p = 0.506
     Activation11, 413, 4Diff, 0.01876 [CI −0.03188, 0.06940] F(1,23) = 0.6133; p = 0.450F(8,184) = 1.475 p = 0.981
     Inactivation11, 412, 4Diff, −0.05682 [CI −0.1119, −0.001691] F(1,21) = 4.594; p = 0.044F(9,189) = 4.041 p < 0.001
     Rate of inactivation10, 412, 4Diff, −0.0085 [CI −0.03704, 0.02004] F(1,20) = 0.3859; p = 0.541F(11,220) = 0.4253 p = 0.944
     Rate of recovery10, 412, 4Diff, −0.01081 [CI −0.03695, 0.01532] F(1,20) = 0.7448; p = 0.398F(11,220) = 0.3670 p = 0.967
    Residual   
     Density11, 413, 4Diff, 0.07334 [CI −3.263, 3.409] F(1,22) = 0.002079; p = 0.964F(11,242) = 0.05676 p > 0.999
     Activation11, 413, 4Diff, 0.01068 [CI −0.03932, 0.06068] F(1,22) = 0.1962; p = 0.662F(11,242) = 0.2095 p = 0.997
    • Bold font indicates p < 0.05.

    • View popup
    Table 3

    Two-sample analyses of K+ current properties

    Propertyn cells,n animalsDifference (Diff), CI, t or U, df, pNotes
    dipro
    Slow V50 activation12, 513, 5Diff, −1.888 [CI −6.587, 2.811] t = 0.8428, df = 18.42, p = 0.410Welch’s correction
    Slow activation slope12, 513, 5Diff, −0.2234 [CI −0.6005, 0.1537] t = 1.225, df = 23, p = 0.233
    Slow V0 inactivation9, 412, 5Diff, 1.42 [CI −7.327, 10.17] t = 0.3386, df = 20, p = 0.738
    Slow inactivation slope9, 412, 5Diff, 0.7169 [CI −0.8095, 2.243] t = 1.038, df = 10.67, p = 0.322Welch’s correction
    Fast V5011, 413, 4Diff, 2.201 [CI −4.110, 8.513] t = 0.7233, df = 22, p = 0.477
    Fast activation slope11, 413, 4Diff, 0.451 [CI −0.5518, 1.454] t = 0.9327, df = 22, p = 0.361
    Fast V50 inactivation11, 412, 4Diff, 6.23 [CI 0.09700, 12.36] t = 2.180, df = 13.92, p = 0.047Welch’s correction
    Fast inactivation slope11, 412, 4Diff, −0.1266 [CI −0.9059, 0.6526] t = 0.3379, df = 21, p = 0.739
    Residual V50 activation11, 413, 4Diff, 1.329 [CI −4.612, 7.269] t = 0.4638, df = 22, p = 0.647
    Residual activation slope11, 413, 4Diff, 0.1930 U = 61; p = 0.569Mann–Whitney
    • Bold font indicates p < 0.05. Differences shown for means for normally-distributed data and medians for non-normally-distributed data.

    • View popup
    Table 4

    Model parameters for diestrus

    SlowFastResidualNaPCaThLeak
    E (mV)−92.00−92.00−92.0050.00155.00−19.90−70.00
    g¯ (nS)37.436.929.70.141.600.111.06
     mhmhmhmhmhm 
    V50−1.70−43.84−19.22−57.95−5.54−39.1650.4531.84−55.61−76.02−97.55 
    K−7.738.41−7.846.33−8.8511.29−3.723.20−5.4510.904.19 
    h1 = 14.55
    h2 = 113.55
    tauEq. 8Eq. 8Eq. 9Eq. 8Eq. 80.40Eq. 10Eq. 9Eq. 9Eq. 9 
    va1.4064.500.53 0.9364.50 67.301.8515.58201.00 
    b1.541401.000.00 16.391401.65 −27.501.6570.150.00 
    c15.8159.70−8.68 44.0259.77 67.30−60.60−57.66−2.20 
    d−0.27−6.427.88 −0.33−6.42 27.505.003.61−5.95 
    e8.671.34  0.131.34 4650.15    
    f2.89−8.26  −6.77−8.26 62.48    
    g8.501.82  7.761.82      
    r121n/a
    • View popup
    Table 5

    Model parameters for proestrus

    SlowFastResidualNaPCaThLeak
    E (mV)−92.00−92.00−92.0050.00155.00−19.90−70.00
    g¯ (nS)42.045.732.90.202.00.640.88
     mhmhmhmhmhm 
    V50−3.71−40.51−19.22−57.13−5.54−39.1650.4531.84−54.87−74.00−97.55 
    K−9.018.41−7.846.33−8.8511.29−3.723.20−5.4510.904.19 
    h1 = 14.55
    h2 = 113.55
    tauEq. 8Eq. 8Eq. 9Eq. 8Eq. 80.40Eq. 10Eq. 9Eq. 9Eq. 9 
    a1.4064.500.47 0.9364.50 67.301.8515.58201.00 
    b0.66873.090.00 16.391401.65 −27.501.6570.150.00 
    c20.0246.89−8.68 44.0259.77 67.30−60.60−57.50−2.20 
    d−0.20−6.427.88 −0.33−6.42 27.505.003.61−5.95 
    e8.671.34  0.131.34 3980.90    
    f−8.10−8.26  −6.77−8.26 62.48    
    g10.501.82  7.761.82      
    r121
    • View popup
    Table 6

    NaT Parameters

    Di/ProNaT
    E (mV)50.00
    g¯ (nS)68.12
     α(V)β(V)r1(V)r3(V)
    s65.2448.599.5212.68
    k−6.055.09−4.663.08
    r38.40391.841.360.014

Extended Data

  • Figures
  • Tables
  • Extended Data 1

    CaTcustom: hpp file containing code for T type calcium current; HCurrentcustom: hpp file containing code for hyperpolarization-activated current; markovNA: hpp file containing code for transient Na current; NaP_V2: hpp file containing code for persistent Na current; optifastK_GHK: hpp file containing code for fast K current; optiSlowKV5: hpp file containing code for slow K current; testcond: hpp file containing code for residual K current. These conductance files are written in C++ and can be added to xolotl neuron objects. Parameter values used for models are listed in Tables 4-Tables 6. Download Extended Data 1, ZIP file.

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Reciprocal Changes in Voltage-Gated Potassium and Subthreshold Inward Currents Help Maintain Firing Dynamics of AVPV Kisspeptin Neurons during the Estrous Cycle
J. Rudolph Starrett, R. Anthony DeFazio, Suzanne M. Moenter
eNeuro 12 August 2021, 8 (5) ENEURO.0324-21.2021; DOI: 10.1523/ENEURO.0324-21.2021

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Reciprocal Changes in Voltage-Gated Potassium and Subthreshold Inward Currents Help Maintain Firing Dynamics of AVPV Kisspeptin Neurons during the Estrous Cycle
J. Rudolph Starrett, R. Anthony DeFazio, Suzanne M. Moenter
eNeuro 12 August 2021, 8 (5) ENEURO.0324-21.2021; DOI: 10.1523/ENEURO.0324-21.2021
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Keywords

  • AVPV
  • estrous cycle
  • excitability
  • kisspeptin
  • positive feedback
  • potassium

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