Diabetes mellitus differently affects electrical membrane properties of vagal afferent neurons of rats.
Kerly Shamyra da Silva-AlvesFrancisco Walber Ferreira-da-SilvaAndrelina Noronha Coelho de SouzaDaniel M WeinreichJosé Henrique Leal CardosoPublished in: Physiological reports (2023)
To study whether diabetes mellitus (DM) would cause electrophysiological alterations in nodose ganglion (NG) neurons, we used patch clamp and intracellular recording for voltage and current clamp configuration, respectively, on cell bodies of NG from rats with DM. Intracellular microelectrodes recording, according to the waveform of the first derivative of the action potential, revealed three neuronal groups (A 0 , A inf , and C inf ), which were differently affected. Diabetes only depolarized the resting potential of A 0 (from -55 to -44 mV) and C inf (from -49 to -45 mV) somas. In A inf neurons, diabetes increased action potential and the after-hyperpolarization durations (from 1.9 and 18 to 2.3 and 32 ms, respectively) and reduced dV/dt desc (from -63 to -52 V s -1 ). Diabetes reduced the action potential amplitude while increasing the after-hyperpolarization amplitude of C inf neurons (from 83 and -14 mV to 75 and -16 mV, respectively). Using whole cell patch clamp recording, we observed that diabetes produced an increase in peak amplitude of sodium current density (from -68 to -176 pA pF -1 ) and displacement of steady-state inactivation to more negative values of transmembrane potential only in a group of neurons from diabetic animals (DB2). In the other group (DB1), diabetes did not change this parameter (-58 pA pF -1 ). This change in sodium current did not cause an increase in membrane excitability, probably explainable by the alterations in sodium current kinetics, which are also induced by diabetes. Our data demonstrate that diabetes differently affects membrane properties of different nodose neuron subpopulations, which likely have pathophysiological implications for diabetes mellitus.
Keyphrases
- glycemic control
- type diabetes
- cardiovascular disease
- spinal cord
- single cell
- human health
- cell therapy
- insulin resistance
- risk assessment
- ms ms
- resting state
- mass spectrometry
- reactive oxygen species
- spinal cord injury
- optical coherence tomography
- artificial intelligence
- skeletal muscle
- climate change
- brain injury
- blood pressure