Application of Signal Advance Technology to Electrophysiology

Medical instrumentation used in diagnosis and treatment relies on the accurate detection and processing of various physiological events and signals. While signal detection technology has improved greatly in recent years, there remain inherent delays in signal detection/ processing. These delays may have significant negative clinical consequences during various pathophysiological events. Reducing or eliminating such delays would increase the ability to provide successful early intervention in certain disorders thereby increasing the efficacy of treatment. In recent years, a physical phenomenon referred to as Negative Group Delay (NGD), demonstrated in simple electronic circuits, has been shown to temporally advance the detection of analog waveforms. Specifically, the output is temporally advanced relative to the input, as the time delay through the circuit is negative. The circuit output precedes the complete detection of the input signal. This process is referred to as signal advance (SA) detection. An SA circuit model incorporating NGD was designed, developed and tested. It imparts a constant temporal signal advance over a pre-specified spectral range in which the output is almost identical to the input signal (i.e., it has minimal distortion). Certain human patho-electrophysiological events are good candidates for the application of temporally-advanced waveform detection. SA technology has potential in early arrhythmia and epileptic seizure detection and intervention. Demonstrating reliable and consistent temporally advanced detection of electrophysiological waveforms may enable intervention with a pathological event (much) earlier than previously possible. SA detection could also be used to improve the performance of neural computer interfaces, neurotherapy applications, radiation therapy and imaging. In this study, the performance of a single-stage SA circuit model on a variety of constructed input signals, and human ECGs is investigated. The data obtained is used to quantify and characterize the temporal advances and circuit gain, as well as distortions in the output waveforms relative to their inputs. This project combines elements of physics, engineering, signal processing, statistics and electrophysiology. Its success has important consequences for the development of novel interventional methodologies in cardiology and neurophysiology as well as significant potential in a broader range of both biomedical and non-biomedical areas of application.

The electrophysiology of glomerular mesangial cells

Glomerular mesangial cells (MC) are renal vascular cells that regulate the surface area of glomerular capillaries and thus, partly control glomerular filtration rate. Clarification of the signal transduction pathways and ionic mechanisms modulating MC tone are critical to understanding the physiology and pathophysiology of these cells, and the integrative role these cells play in fluid and electrolyte homeostasis. The patch clamp technique and an assay of cell concentration were used to electrophysiologically and pharmacologically analyze the ion channels of the plasmalemmal of human glomerular MC maintained in tissue culture. Moreover, the signal transduction pathways modulating channels involved in relaxation were investigated. Three distinct K$\sp+$-selective channels were identified: two low conductance channels (9 and 65pS) maintained MC at rest, while a larger conductance (206pS) K$\sp+$ channel was quiescent at rest. This latter channel was pharmacologically and biophysically similar to the large, Ca$\sp{2+}$-activated K$\sp+$ channel (BK$\rm\sb{Ca}$) identified in smooth muscle. BK$\rm\sb{Ca}$ played an essential role in relaxation of MC. In cell-attached patches, the open probability (P$\rm\sb{o}$) of BK$\rm\sb{Ca}$ increased from a basal level of $<$0.05 to 0.22 in response to AII (100nM)-induced mobilization of cytosolic Ca$\sp{2+}$. Activation in response to contractile signals (membrane depolarization and Ca$\sp{2+}$ mobilization) suggests that BK$\rm\sb{Ca}$ acts as a low gain feedback regulator of contraction. Atrial natriuretic factor (ANF; 1.0$\mu$M) and nitroprusside (NP; 0.1mM), via the second messenger, cGMP, increase the feedback gain of BK$\rm\sb{Ca}$. In cell-attached patches bathed with physiological saline, these agents transiently activated BK$\rm\sb{Ca}$ from a basal $\rm P\sb{o}<0.05$ to peak responses near 0.50. As membrane potential hyperpolarizes towards $\rm E\sb{K}$ (2-3 minutes), BK$\rm\sb{Ca}$ inactivates. Upon depolarizing V$\rm\sb{m}$ with 140 mM KCl, db-cGMP (10$\mu$M) activated BK$\rm\sb{Ca}$ to a sustained P$\rm\sb{o}$ = 0.51. Addition of AII in the presence of cGMP further increased P$\rm\sb{o}$ to 0.82. Activation of BK$\rm\sb{Ca}$ by cGMP occured via an endogenous cGMP-dependent protein kinase (PKG): in excised, inside-out patches, PKG in the presence of Mg-ATP (0.1mM) and cGMP increased P$\rm\sb{o}$ from 0.07 to 0.39. In contrast, neither PKC nor PKA influenced BK$\rm\sb{Ca}$. Endogenous okadaic acid-sensitive protein phosphatase suppressed BK$\rm\sb{Ca}$ activity. Binning the change in P$\rm\sb{o}\ (\Delta P\sb{o}$) of BK$\rm\sb{Ca}$ in response to PKG (n = 69) established two distinct populations of channels: one that responded ($\cong$67%, $\rm\Delta P\sb{o} = 0.45 \pm 0.03$) and one that was unresponsive ($\Delta\rm P\sb{o} = 0.00 \pm 0.01$) to PKG. Activation of BK$\rm\sb{Ca}$ by PKG resulted from a decrease in the Ca$\sp{2+}$- and voltage-activation thresholds independent of sensitivities. In conclusion, mesangial BK$\rm\sb{Ca}$ channels sense both electrical and chemical signals of contraction and act as feedback regulators by repolarizing the plasma membrane. ANF and NO, via cGMP, stimulate endogenous PKG, which subsequently decreases the activation threshold of BK$\rm\sb{Ca}$ to increase the gain of this feedback regulatory signal. ^