Treatment of disorders associated with inflammation

Abstract

Stimulation of neural activity in a nerve supplying the spleen, wherein the nerve is adjacent to the splenic artery at a position where the splenic artery is not in direct contact with the pancreas, can modulate pro- and anti-inflammatory molecules levels, thereby reducing inflammation and providing ways of treating disorders, such as disorders associated with inflammation. The invention provides improved ways of reducing inflammation with minimized off-target effects, in particular surgical trauma.

Claims

1. A system for stimulating the neural activity of a splenic arterial nerve, the system comprising: at least one electrode in signaling contact with the nerve at a site where the splenic artery is not in direct contact with the pancreas; and at least one controller electrically coupled to the at least one electrode, the at least one controller configured to control the operation of the least one electrode to apply an electrical signal to the nerve, wherein a charge density per phase applied to the nerve by the electrical signal is between 5 μC to 1100 μC per cm2 per phase, wherein the electrical signal produces an improvement in a physiological parameter in a subject, and wherein the improvement in the physiological parameter is one or more of a group consisting of: a reduction in a pro-inflammatory cytokine, an increase in an anti-inflammatory cytokine, an increase in a catecholamine, a change in an immune cell population, a change in an immune cell surface co-stimulatory molecule, a reduction in a factor involved in the inflammation cascade, a change in a level of an immune response mediator, and a decrease in splenic blood flow.

2. The system of claim 1, wherein the site is a position of the splenic artery separated from the surface of the pancreas by a distance in a range of from 0.5 cm to 4 cm.

3. The system of claim 1, wherein the site is at a splenic arterial loop.

4. The system of claim 1, wherein the electrical signal comprises a pulse train, the pulse train comprising a plurality of pulses.

5. The system of claim 4, wherein the pulses are charge-balanced and biphasic.

6. The system of claim 1, further comprising at least one detector configured to detect one or more of a group consisting of: systemic arterial blood pressure, blood flow rate in the spleen, blood flow rate in the splenic artery, blood flow rate in the splenic vein, spleen volume, splenic tissue perfusion, neural activity in the nerve, impedance of the at least one electrode, and stimulator voltage compliance.

7. The system of claim 6, wherein the at least one controller is further configured to apply an electrical signal to the nerve for determining correct placement of the neural interface in signaling contact with the nerve prior to applying the electrical signal to the nerve, wherein the electrical signal has a frequency of ≤300 Hz and is applied continuously for a duration of ≥3 hours.

8. The system of claim 7, wherein the at least one detector is further configured to detect spleen volume, and wherein the at least one controller is further configured to determine if the detected spleen volume is lower than baseline spleen volume and, if so, to indicate to an operator that the neural interface has been placed in signaling contact with the nerve correctly.

9. The system of claim 8, wherein the at least one detector is further configured to measure spleen volume using ultrasound.

10. The system of claim 6, wherein the at least one detector is further configured to detect one or more of a group consisting of: systemic arterial blood pressure, blood flow rate in the spleen, blood flow rate in the splenic artery, and blood flow rate in the splenic vein, and wherein the at least one controller is further configured to determine if a detected blood pressure or blood flow rate is different than a baseline blood pressure or blood flow rate and, if so, to indicate to an operator that the neural interface has been placed in signaling contact with the nerve correctly.

11. The system of claim 10, wherein the at least one detector is further configured to detect impedance of the at least one electrode, and wherein the at least one controller is further configured to determine if the detected impedance is different than baseline impedance and, if so, to indicate to an operator that the neural interface has been placed in signaling contact with the nerve correctly.

12. A method of reversibly stimulating neural activity in a nerve supplying the spleen, the method comprising: providing the system of claim 1; positioning at least one electrode in signaling contact with the nerve adjacent to a splenic arterial loop; and controlling the operation of the least one electrode with at least one controller to apply an electrical signal to the nerve to reversibly stimulate neural activity.

13. The method of claim 12, wherein the method is for treating a disorder associated with inflammation in a subject.

14. A method of determining whether a neural interface is correctly placed in signaling contact with a splenic arterial nerve at a site where the splenic artery is not in direct contact with the pancreas, the method comprising: providing the system of claim 1; positioning the neural interface around a nerve at a site where the splenic artery is not in direct contact with the pancreas; controlling the operation of the least one electrode with at least one controller to apply an electrical signal to the nerve; determining one or more of a: a change in blood flow rate or pressure in the spleen, splenic artery, or splenic vein, a decrease in spleen volume, an increase in neural activity in the nerve, a change of heart rate, a change of systemic arterial blood pressure, a decrease in impedance of the at least one electrode, and a decrease in a stimulator voltage compliance; and indicating to an operator that the neural interface had been placed correctly in signaling contact with the nerve.

15. The method of claim 14, wherein the site is at a position of the splenic artery separated from the surface of the pancreas by a distance in a range of 0.5 cm to 4 cm.

16. The method of claim 15, wherein the site is at a splenic arterial loop.

Description

BRIEF DESCRIPTION OF DRAWINGS

(1) Embodiments of the invention will be described, by way of example, with reference to the following drawings, in which:

(2) FIG. 1 illustrates a neural stimulation system.

(3) FIG. 2 illustrates a wider system including the neural stimulation system.

(4) FIGS. 3A-E show histological and electrophysiological characterization of a pig splenic nerve. FIG. 3A is a photomicrograph of a semi-thin section (0.5 μm thickness) of the SpA (splenic artery)/SpN (splenic arterial nerve) stained with Toluidine blue. No myelinated axons can be observed in the image. FIG. 3B representative traces of evoked compound action potential (eCAP) recorded from fascicles of the peri-arterial splenic nerve dissected off the artery when stimulating at 1 Hz with a peri-arterial cuff (around the entire SpN plexus) or with a small cuff around few fascicles of the SpN bundle. The traces are the average of 10 responses. FIG. 3C shows the range of conduction velocities of the different components of the eCAP. FIGS. 3D and 3E show the strength-duration curve of the SpN obtained by stimulating the whole plexus (FIG. 3D) or few dissected fascicles (FIG. 3E). The graphs show also the relative charge density to obtain threshold eCAP at different stimulation amplitudes. All stimulations were performed at 1 Hz to limit stimulation-induced action potential conduction slowing in the nerve.

(5) FIG. 4A shows the mean (n=8) change in mSpA BF (from −30 to +180 s, relative to start of stimulation) during a 1 minute stimulation (symmetric square biphasic pulses, 400 μs PW at 10 Hz) of the SpN plexus at different current amplitudes (between 3.5 and 20 mA). FIG. 4B shows the maximum reduction in mSpA BF reached during a 1 minute stimulation (symmetric square biphasic pulses, 400 μs PW at 10 Hz) of the SpN plexus at different current amplitudes. Each line represent an animal tested. FIG. 4C shows the mean (n≥3) maximum reduction in mSpA BF reached during a 1-minute stimulation (symmetric biphasic pulses, 400 μs or 200 μs PW at 10 Hz) of the SpN plexus at different current amplitudes and with two different PW: 400 (black circles) and 200 (black squares) μs. FIG. 4D shows the change in mSpV BF (from −30 to +180 s, relative to start of stimulation) during a 1-minute stimulation (symmetric biphasic pulses, 400 μs PW at 10 Hz) of the SpN plexus at different current amplitudes (between 3.5 and 12 mA). FIG. 4E shows the mean (n=3) change in sMABP and HR (from −30 to +180 s, relative to start of stimulation) during a 1-minute stimulation (symmetric biphasic pulses, 400 μs PW at 10 Hz) of the SpN plexus at different current amplitudes (between 3.5 and 20 mA). FIGS. 4F and 4G summarize the mean (n=3) maximum changes in mSpA BF, sMABP, HR and RR during a 1-minute stimulation (symmetric biphasic pulses, 400 μs PW at 10 Hz) of the SpN plexus (FIG. 4F) or some dissected SpN fascicles (FIG. 4G) at different current amplitudes. Both graphs show the amplitude (measured as area under the curve of the response) of the recorded eCAP (expressed as % over the maximal response). SpA BF changes are expressed as maximum reduction from baseline in %, HR changes are expressed as beats per minute (bpm), sMABP changes are expressed as mmHg, and RR changes are expressed as breaths per minute (bpm). The two graphs also report the charge density per phase relative to the stimulation amplitude used.

(6) FIG. 5A shows the mean (n=3) change in mSpA BF (from −30 to +180 s, relative to stimulation) during a 1 minute stimulation (symmetric biphasic pulses, 400 μs PW at about 36.9 μC/cm.sup.2/phase) of the SpN plexus at different frequencies (between 0.25 and 100 Hz). FIG. 5B shows the mean (n=3) maximum reduction in mSpA BF observed during a 1 minute stimulation (symmetric biphasic pulses, 400 μs PW at about 36.9 μC/cm.sup.2/phase) of the SpN plexus at different frequencies (between 0.25 and 100 Hz). In FIG. 5C to 5D, the graphs show the changes in mSpV BF, sMABP, HR (expressed as % over prestimulation baseline) during a 1 minute stimulation (symmetric biphasic pulses, 400 μs PW at about 36.9 μC/cm.sup.2/phase) of the SpN plexus at different frequencies (between 0.25 and 100 Hz). Data in FIG. 5A is expressed as mean±s.d. In FIGS. 5A and 5C to 5D, the box represents the stimulation time window.

(7) FIG. 6 shows local and systemic effects of few dissected SpN fascicles at different frequencies. In particular, FIG. 6 shows a representative experimental recording of local and systemic changes associated with the stimulation of few SpN fascicles dissected off the artery with different frequencies. HR, sMABP, Stimulation input, eCAP, SpA BF raw and mSpA BF data are shown from a representative experiment where frequency ranges from 3 to 300 Hz.

(8) FIG. 7 shows SpA blood flow changes monitored via intra-operative splenic ultrasonography. The images of FIG. 7 were obtained from two different animals during SpN stimulation. Note the reduced Doppler trace during stimulation (middle panels) versus pre-stimulation and post-stimulation (top- and bottom panels, respectively).

(9) FIG. 8A shows the eCAP recorded from the SpN during a 1 minute stimulation at different frequencies (1, 10 and 30 Hz, from top to bottom). Each image show the superimposition of all the evoked responses. For 1 Hz stimulation there are 60 responses superimposed; for 10 and 30 Hz, each trace represents the average of 5 consecutive responses. Note that the responses at 10 and 30 Hz shift to the right over time and the amplitude is reduced over time. FIGS. 8B(I)-(III) shows the eCAP recorded from the SpN during a 1 minute stimulation delivered at 10 Hz in burst of 5 or 10 pulses separated by an off period of 5 or 10 s. Each image show the superimposition of all the evoked responses. Note that the responses neither shift to the right nor are reduced in amplitude over time. FIG. 8C shows the quantification of the area under the curve (AUC) of each recorded eCAP of the different stimulation paradigms. In particular, FIG. 8C shows the comparison of the values between 1 and 60 pulses delivered with the different paradigms. FIG. 8D shows eCAP latency (expressed as % over the latency of the first response) over 600 consecutive pulses with the different patterns of stimulations shown in FIGS. 8A-C. Data are shown as mean (N≥3). Dotted lines represent the 95% confidence interval. FIG. 8E shows eCAP amplitude (expressed as % over the amplitude of the first response) over 600 consecutive pulses with the different pattern of stimulations shown in FIGS. 8A-C. Data are shown as mean (N≥3). Least squares regression curves were fitted against the latency (as shown in FIG. 8D) and amplitude data (as shown in FIG. 8E). Dotted lines represent the 95% confidence interval. FIG. 8F shows change in SpA mBF (circles) and sMABP (triangles) during a 60 s stimulation of the porcine splenic neurovascular bundle (NVB) using 400 μs PW and 12 mA (symmetric, biphasic square pulses) delivered at 10 Hz (in black), 1 Hz (light grey) or burst stimulation (10 Hz, 5 pulses every 10 seconds, in grey). Data are from representative stimulations within the same animal. FIG. 8G shows SpA mBF and sMABP max changes recorded during a 60 s stimulation delivered with the different stimulation patterns shown in FIG. 8F. Values are expressed as % over the max change obtained at 10 Hz. Data are shown as mean (N=4)±s.d. Statistical analysis in FIG. 8C was performed using One-way ANOVA and Tukey post-hoc correction for multiple comparison. *, P≤0.05; **, P≤0.005; ***, P≤0.001; ****, P≤0.0001.

(10) FIG. 9 shows burst and 1 Hz stimulation produced the lowest changes in mSpA BF. In particular, FIG. 9 shows the maximum change in mSpA BF expressed as % over the change obtained during a 60 s stimulation with biphasic, symmetric pulses delivered at 10 Hz (in black). Different stimulation paradigms, delivered with the same current amplitude, are compared: continuous 10 Hz, continuous 1 Hz and burst stimulation (5 pulses at 10 Hz every 5 s) with either symmetric or asymmetric biphasic pulses.

(11) FIG. 10A is a Kaplan-Meier plot illustrating differences in survival time up to the pre-determined end-point at 2 hours post in vivo LPS injection. FIG. 10B is a box plot illustrating the lowest recorded mean arterial blood pressure (MABP; calculated as % of baseline) 30 minutes post LPS injection. A significant difference between SpN-T and sham group is shown; P=0.0296. FIGS. 10C and 10D are box plots illustrating the TNFα (FIG. 10C) and IL-6 (FIG. 10D) concentrations at 0.5 hour post in vivo LPS injection. A significant difference between SpN-T and SpN-P groups is shown; P=0.0117. A significant difference between SpN-T and sham groups is also shown; P=0.0043.

(12) FIG. 11A is a Kaplan-Meier plot illustrating differences in survival time up to the pre-determined end-point at 2 hours post LPS injection. FIG. 11B is a box plot illustrating the lowest recorded mean arterial blood pressure (MABP; calculated as % of baseline) 30 minutes post LPS injection. A significant difference between SpN2S and sham group is shown. FIGS. 11C and 11D are box plots illustrating the TNFα (FIG. 11C) and IL-6 (FIG. 11D) concentrations at 0.5 hour post LPS injection.

(13) FIGS. 12A and 12B show the dynamic change in TNFα (FIG. 12A) and IL-6 (FIG. 12B) measured directly from plasma collected by terminally anesthetized pigs administered with 0.25 μg of E. coli LPS. FIGS. 12C and 12E show the peak value of TNFα (FIG. 12C) and IL-6 (FIG. 12E) measured in the plasma after LPS administration in the different groups. FIGS. 12D and 12F show the quantification of the Area under the curve (AUC) of both TNFα (FIG. 12D) and IL-6 (FIG. 12F). Data are expressed as mean (Sham: N=6, Dexamethasone: N=2, LVNS: N=5, eLVNS: N=5, SpNS: N=6)+/−SD.

(14) FIGS. 13A-C show the anatomical analysis of the splenic artery from Cadaver III. FIG. 13A shows the anatomical distance from the coeliac trunk (Origin SA), to the imaginary sagittal plane and distances from the Origin SA to the various branching pancreatic arteries (PA). Boxes indicate the sites of resected tissue. The length of the splenic arterial loop is also shown. The site of the pancreas, spleen and stomach in relation to the splenic artery are also depicted. FIG. 13B shows the diameter of the splenic artery measured from each resected tissue sample. FIG. 13C shows the overview shows the spleen, the pancreas, splenic artery (SA), and surrounding adipose and connective tissue of cadaver III. The SA presents three loops, with a minimum height of 1.0 cm from the inner curvature of the loop to the pancreas. The characteristics can be found in table

(15) FIGS. 14A-B show splenic arterial nerve stimulation before the onset of disease reduces disease activity in mice with collagen-induced arthritis. Animals were divided over 3 groups; sham N=8, Sim 24H N=7, Stim 4H N=7. Clinical scores are shown in FIG. 14A. The incidence is shown in FIG. 14B. CIA was induced at day 0 with CII/CFA, on day 11 the cuffs were implanted on day 21 the animals received a boost with CII/IFA. Stimulation was performed 1× a day ((STIM 24H), or 6× a day (STIM 4H). After day 45, stimulation was stopped and animals were follow-up up to day 80.

(16) FIG. 15 shows splenic nerve stimulation after the onset of disease reduces the clinical score in mice with collagen-induced arthritis. CIA was induced at day 0 with CII/CFA, on day 11 the cuffs were implanted and on day 28 stimulation was started. Animals were divided over 2 groups; sham N=5, Stim 4 h N=5). On day 21 the animals received a boost with CII/IFA. Animals were follow-up up to day 55 after start of stimulation (day 80 after induction of CIA). One animal was excluded on day 44 due to a broken wire.

(17) FIG. 16A shows human splenic neurovascular bundle (NVB) containing the SpA, the SpN, connective tissue, sections of pancreas and lymph nodes freshly isolated from a donor. Two small cuff electrodes (650 μm in diameter) were placed on a select few dissected fascicles. The schematic of the preparation indicates the position (a and b) of the stimulating and recording cuffs. The dotted lines indicate the areas in which the sections shown in B and C were taken. FIG. 16B shows a section of the human NVB stained with Haematoxylin and Eosin (H&E). The SpN fascicles are encircled. FIG. 16C shows a section of the stimulated fascicles that were isolated for electrophysiological study. The section was stained with H&E and shows the nerve fascicles (encircled) and fat/connective tissue. FIG. 16D shows eCAP recorded when applying monopolar, monophasic stimulation of the human SpN at 1 Hz and 400 μs PW prior (top panel) and after (bottom panel) crushing the nerve between the stimulating and recording cuff. The left box indicates the stimulation artefact while the larger box on the right indicates the area in which eCAP should be observed, with the arrows indicating the eCAP. FIG. 16E shows a recruitment curve of the human SpN quantifying the eCAP amplitude (expressed as % of the maximum response) vs the stimulation amplitude. Each point represents the average amplitude of 8 consecutive monopolar, monophasic pulses delivered at 1 Hz and 400 μs PW. FIG. 16F shows conduction velocities of all the eCAP components recorded from the human, porcine (pig) and rat SpN. FIG. 16G shows the strength-duration relationship (black circles) of the human SpN obtained by stimulating the dissected fascicles. The data represent the minimum current needed to trigger a detectable eCAP at the different PW tested. The graphs also show the corresponding charge density (black triangles) of the different stimulations (referred to the right Y axis). Least squares regression curves were plotted against the strength-duration and charge density data. FIG. 16H shows charge densities required to stimulate the SpN of the three different species at different PW. The data was fitted with linear regressions. Scale bars: FIG. 16B=2 mm; FIG. 16C=100 μm.

(18) FIG. 17A shows an example of a human splenic sample with suture indicating the proximal end close to celiac. FIG. 17B shows conceptual representation of slicing of tissue in blocks for histology. FIG. 17C shows Haematoxylin and Eosin (H&E) stained slide from one of the blocks. FIG. 17D shows methodology for histomorphometric estimations.

(19) FIG. 18 shows (Left) Fascicle diameter, (Right) Fascicle spread around adventitia (outer splenic arterial wall) for proximal, middle and distal parts of the splenic neurovascular bundle (NVB), and (Middle) Percentage of fascicles vs distance from adventitia.

(20) FIG. 19A shows a population recruitment curve for in-vivo data from porcine splenic neurovascular bundle stimulation. FIG. 19B shows a strength-duration curve for in-vivo data from porcine splenic neurovascular bundle stimulation.

(21) FIG. 20A shows a recruitment curve from in-silico modelling in porcines with x-axis representing charge injection estimates at 400 μs pulses. FIG. 20B shows the same but with x-axis reflecting stimulation amplitude. FIG. 20C shows a recruitment curve from in-silico modelling in humans with x-axis representing charge injection estimates at 400 μs (blue) and 1 ms pulses (red). FIG. 20D shows the same but with x-axis reflecting stimulation amplitude (mA).

MODES FOR CARRYING OUT THE INVENTION

(22) Electrical Stimulation of the Splenic Arterial Nerve in Pig (Study 1)

(23) Materials and Methods

(24) A total of 8 pigs (body weight between 40-50 Kg) were used for the histological and electrophysiological characterization of the splenic nerve.

(25) On the experimental day, the animal was sedated with ketamine (1.5 mg/kg) and midazolam (0.5 mg/kg) administered by intramuscular injection. An intravenous catheter was placed in one auricular vein, and anesthesia was induced by propofol (2 mg/Kg) administered intravenously. An endotracheal tube was placed, and anesthesia was maintained with sevoflurane inhalant combined with continuous rate infusion (CRI) of fentanyl (0.2 μg/Kg/min).

(26) After induction of general anesthesia, the animal was positioned in dorsal recumbency for placement of bilateral indwelling jugular vein catheters and one femoral arterial catheter under ultrasonographic guidance. Animals undergoing splenic arterial nerve (SpN) cuff implantation were then repositioned into right lateral recumbency.

(27) The surgical approach to SpN cuff implantation was as follows. The thoracolumbar junction was supported and slightly elevated using a sand bag. After appropriate surgical preparation (clipping and aseptic scrub with chlorhexidine gluconate and alcohol), the left flank was aseptically draped exposing a 20×25 cm area centered on the second to last rib. A 15 cm skin incision was made in the second to last intercostal space using monopolar electrocautery. The incision was continued through the subcutaneous tissues and intercostal musculature until the peritoneum was exposed. Two Finochietto rib retractors were placed retroperitoneal, taking care to engage the ribs. Over the next few minutes, the retractors were gradually opened, resulting in exposure of the left lateral abdomen measuring approximately 10×8 cm. The retractor blades were covered with gauze sponges soaked in carboxymethyl cellulose (CMC). The peritoneum was longitudinally incised and sutured to the skin (Vicryl 2-0; Ford interlocking suture pattern) covering the retractors blades in order to minimize risk of splenic tears during handling. Using careful digital manipulation, the spleen was exteriorized and the splenic artery (SpA) was identified along its visceral surface. At the mid portion of the spleen, proximal to the SpA branching into the left gastroepiploic artery, a short segment of the SpA was carefully dissected free of surrounding soft tissue for placement of a 1 mm ultrasonic flow probe (Transonic). After probe placement, the spleen was repositioned into the abdomen.

(28) By slight rotation of the splenic visceral base towards the operator, and placing gentle ventral traction on the spleen, the gastrosplenic ligament at the splenic hilum was incised using Metzembaum scissors, exposing the SpA. The artery was followed in a dorsal direction to its origin (i.e. the bifurcation of the celiac artery into the left gastric artery (LGA) and the SpA). Immediately distal to this bifurcation, an approximately 1 cm segment of the SpA with the peri-arterial SpN network intact, was circumferentially isolated by blunt dissection using Metzenbaum scissors. A curved Mixter artery forceps was inserted under the artery from caudal to cranial, grasping one flap of the 2.5 mm diameter CorTec cuff introduced into the surgical field using straight Microdissection forceps. The cuff was placed around the SpA and the intact peri-arterial SpN network by reversing the motion of the Mixter forceps, taking care to appose the two flaps of the cuff when properly placed. The tension on the spleen and artery was then released. SpA blood flow readings were tested and finally the rib retractors were partially closed and the exposed incision covered with saline-soaked gauze sponges.

(29) Electrophysiological experiments generally entailed dissecting and cuffing (using a 500 μm diameter bipolar or tripolar CorTec cuff) one or several discrete SpN fascicles few centimeters distal (closer to the spleen) to the stimulating cuff to enable evoked compound action potential (eCAP) recording during stimulation of the whole SpN plexus or of few fascicles (see FIGS. 3A-E). Also, different combinations of blocking neural signaling (e.g. using topical administration of local anesthesia, or transection of the SpN fascicle) either upstream or downstream of the stimulation site were performed.

(30) Recorded eCAP were amplified and filtered (100-1000 Hz) using an 1800 2-Channel Microelectrode AC Amplifier (A-M system). Nerve activity was monitored continuously using an oscilloscope and recorded to a computer using a 16 channels PowerLab (AD Instruments) acquisition system and LabChart 8 software using a sampling rate of 20 kHz. eCAP were generally averaged (8-10 pulses) and peak to peak or area under the curve (AUC) of the averaged response quantified. The conduction velocity of the eCAP components of the SpN were calculated from the distance between stimulation and recording site and the latency of the eCAP signal.

(31) Electrocardiogram (ECG), Heart rate (HR), arterial blood pressure, respiratory rate (RR), pulse oximetry, capnography, spirometry were monitored throughout the surgery. Body temperature was recorded continuously with an intranasal probe. Arterial blood gasses were analyzed throughout the experiment to monitor pH, Glucose, pO2 and pCO2, K+ levels. All physiological parameters as well as the level of used sevoflurane were recorded (every 5-10 minutes) on the record sheet. Physiological data were also digitalized using Powerlab acquisition system and LabChart software. All parameters were generally sampled at a frequency between 0.1 and 2 kHz.

(32) The depth of anesthesia was assessed by palpebral reflex, corneal reflex, medioventral eye ball position, and jaw tone.

(33) Moreover, physiological parameters as well as a bispectral index monitoring system (levels between 30 and 60) were used to adjust anesthetic levels. In some cases, boluses of propofol were used.

(34) In some cases intra-operative ultrasonography of the spleen was used for real-time monitoring of SpA blood flow changes during SpN stimulation. For this procedure, an intra-operative probe (i12L-RS linear intraoperative transducer 4-10 MHz, 29×10 mm footprint, 25 mm field of view; GE Vivid-i) was used.

(35) SpA blood flow changes was assessed by color Doppler and continuous wave spectral tracing. After color Doppler identification of the SpA within the splenic parenchyma 2-3 cm distal to the splenic hilum, continuous wave spectral tracing of the SpA flow was obtained by directing the windowing cursors to the center of the SpA lumen. After obtaining a representative signal, the ultrasonography probe and cursor window was left in position while SpN stimulation commenced.

(36) All statistical analyses were performed with commercially available statistical software (JMP Pro 13.0.0 or GraphPad Prism 5.0).

(37) Results

(38) Recording of the eCAP generated during SpN stimulation, either of the whole SpN plexus with the peri-arterial cuff, or stimulation of few fascicles with a smaller cuff, generated an eCAP with a specific latency dependent on the distance between stimulating and recording sites (FIG. 3B). The range of conduction velocities of the different components of the eCAP is shown in FIG. 3C. The stimulation of either the whole plexus or few fascicles generated an eCAP with an average speed below 1 m/s (FIG. 3C). This conduction velocity is in line with histology findings in the characterization data below that describe the SpN being an unmyelinated nerve. The relationship between current amplitude and pulse duration necessary to elicit an eCAP either stimulating the whole plexus or few fascicles in shown in FIGS. 3D and 3E (respectively). When stimulating the whole plexus with a peri-arterial cuff the threshold of the nerve response was found between 7.692 and 15.58 μC/cm.sup.2/phase. When stimulating few dissected fascicles with a smaller cuff the threshold was found to be between 5.796 and 11.594 μC/cm.sup.2/phase. In both cases the threshold value of current density for eCAP recording was lower at shorter pulse width (PW).

(39) SpN biphasic stimulation for 1 minute at 10 Hz and 400 μs PW above a specific current threshold consistently caused transient blood flow reduction within the distal SpA as measured via a perivascular flow probe. There was a clear dose-response relationship between delivered current and flow reduction: the higher the amplitude the stronger was the observed reduction in blood flow (FIG. 4A). The blood flow change threshold, defined as a 5% change in mean SpA blood flow (mSpA BF) compared to pre-stimulation baseline, was observed around 4.5 mA (with a 400 μs PW) and around 12 mA (with 200 μs pulse width) (FIGS. 10B and 10C). When calculating the charge density per phase of the threshold to cause blood flow changes the value was very similar: about 13.8 μC/cm.sup.2/phase at 400 μs and 18.46 μC/cm.sup.2/phase at 200 μs. Stimulation with 12 mA and 400 μs PW (36.9 μC/cm.sup.2/phase) caused a mean maximum BF reduction in the SpA of about 40% from baseline values.

(40) In parallel, recording of the blood flow within the splenic vein (SpV) was recorded by using a Doppler flow probe placed at the splenic base, where the vein leaves the splenic hilum. Interestingly, stimulation (symmetric biphasic pulses, 400, 10 Hz for 1 minute) caused an increase in the mean SpV blood flow (mSpV BF) that was current amplitude dependent. Stimulation with 12 mA and 400 μs PW (36.9 μC/cm2/phase) caused a maximum increase of about 200% when compared to baseline mSpV BF. The transient reduction of mSpA BF was also accompanied by a transient increase in systemic mean arterial blood pressure (sMABP). This increase (in average between 1-6 mmHg) from baseline correlated again with the stimulation intensity (FIG. 4E). Consistent sMABP changes were observed with stimulations causing a 20-30% drop in the SpA flow. In contrast, HR was only minimally affected (≤3 bpm changes, either increase or decrease), but more consistently only with high stimulation amplitudes (≥45 μC/cm2/phase causing 3-10 bpm changes)(FIG. 4G). SpN stimulation did not affect respiratory rate (RR) in the conditions tested.

(41) The changes observed in mSpA BF, sMABP, HR, RR during a 1-minute stimulation (symmetric biphasic pulses, 10 Hz, 400 μs PW) at different current amplitudes (1-50 mA, corresponding to 3.076-153.8 μC/cm.sup.2/phase) are summarized in FIG. 4F. In FIG. 4F, it is possible to observe how the magnitude of these changes was correlated with the recording of an eCAP (black line and circles) from the SpN. The higher was the number of fibers recruited (measured as eCAP % over the maximum recorded response) the stronger was the reduction in mSpA BF and the other associated changes.

(42) Direct stimulation of discrete SpN bundles dissected off the SpA (using a 500 μm diameter cuff) evoked similar changes in the mSpA BF, sMABP and HR. These changes, occurring during a 1 minute (symmetric biphasic pulses, 1 Hz, 400 μs PW) and different current amplitudes (0.1-2.5 mA, corresponding to 3.86-96.61 μC/cm.sup.2/phase), are summarized in FIG. 4G. Even in this case the associated changes were dependent on the proportion of fibers (eCAP shown in black) recruited by the stimulation. The maximum eCAP (and therefore maximum changes) was obtained at about 153 μC/cm.sup.2/phase when stimulating the whole plexus and at about 70 μC/cm.sup.2/phase. The magnitude of the changes when stimulating few fascicles were lower than those obtained when stimulating the whole plexus, as expected since the total number of fibers stimulated was lower and the frequency was lower.

(43) Blood flow changes in the mSpA were also affected by different frequencies of stimulation. When stimulating (symmetric biphasic pulses, 400 μs PW for 1 minute at about 36.9 μC/cm2/phase) at different frequencies (between 0.25 and 100 Hz), 30-50 Hz reliably caused the strongest blood flow reduction in the SpA (FIG. 5A). Above 50 Hz (between 70 and 100 Hz) the reduction in BF was in fact smaller, in the range of reductions obtained with a 10 Hz stimulation (FIG. 5B). The changes in mSpV BF, sMABP and HR were also found to be dependent on the frequency of the stimulation applied. The strongest effects were again observed between 30 and 50 Hz (FIGS. 5C-D).

(44) This was once again observed when maximally (around 70 μC/cm.sup.2/phase) stimulating only few fascicles dissected off the artery. A stronger reduction in mSpA BF occurred already at lower frequencies (1 Hz and below), because of the higher recruitment of nerve fibers compared to the stimulation amplitude used for the whole plexus during the frequency analysis. Consistently however, the maximal reduction was observed between 30-50 Hz (FIG. 5D).

(45) In order to further confirm that the observed changes in SpA BF were due to direct neuronal activation (rather than stimulation of smooth muscles) Lidocaine (2% lidocaine hydrochloride solution) was applied locally around the implanted SpN cuff (either the peri-arterial cuff or the cuff for dissected fascicles). Lidocaine is a specific blocker of fast voltage gated Na+ channels. Lidocaine was able to block the changes in SpA BF. Further, mechanical occlusion of the SpA, able to reduce the BF up to 80%, did not cause any change in sMABP or HR. In addition, transection of the central end of the SpN (proximal to the cuff) did not abolish stimulation effects on SpA blood flow, sMABP and HR. Also the transection of the SpN within the GEP and SG segments did not prevent these changes. Interestingly, all these effects were only abolished when the peripheral end of the SpN (distal to the cuff) was cut. All these data suggest that the changes in SpA BF and SpV BF were neuronal driven and related to the constriction of the SpA as well as the contraction of the spleen capsule. On the other hand, the changes in sMABP and HR were probably not due to the activation of a neuronal pathway towards the brain but to the increase outflow of blood from the spleen towards the heart.

(46) In few animals, SpA blood flow changes during stimulation was also monitored using intra-operative ultrasonography at the splenic hilum. After identifying the SpA by color Doppler, the change in BF was monitored as Doppler signal as shown in FIG. 7. During stimulation at 10 Hz, a reduction in BF could be easily observed as indicated by the changed amplitude and shape of the flow traces.

(47) Discussion

(48) Splenic nerve stimulation was associated with transient local changes in mSpA BF and mSpV BF as well as splenic contraction. These changes were due to the direct activation of the SpN, rather than direct stimulation of the smooth muscles of the SpA. Spleen contraction during SpN stimulation has been previously reported also in other species [17]. The observed change in mSpA BF was very consistent between animals. The variation was probably mainly due to different fitting of the cuff around the SpN plexus in different animals. Changes in SpA BF could be easily monitored via non-invasive ultrasound and therefore could be used as a marker to assess effective stimulation of the SpN also in a clinical setting.

(49) The transient changes observed during SpN stimulation were shown to be amplitude and frequency dependent. During a minute of stimulation at different current amplitudes, the strongest mSpA BF reduction was observed at the highest current amplitude tested that also corresponded to the peak of the recorded eCAP. This was true when stimulating the whole SpN plexus (with a peri-arterial cuff) or when stimulating only few fascicles placed within a smaller cuff. The difference in the total charge density needed to obtain maximum eCAP from the SpN plexus and from SpN fascicles could be explained by the partial coverage of the plexus with the 2.5 mm cuff used. In most of the pigs in fact this cuff resulted only in a 270-300 degrees of circumferential coverage. When cuffing only few fascicles of the SpN dissected off the artery the coverage was almost total. Therefore, in order to limit charge density needed to obtain optimal recruitment of SpN fascicles, optimal circumferential coverage of the artery will be needed.

(50) The strongest changes (in mSpA BF and sMABP) were observed at frequency between 30 and 50 Hz. Although the total number of pulses delivered could be an important factor in determining the magnitude of this changes, it is true that when comparing changes occurring with the same number of pulses delivered at different frequencies, 30-50 Hz range still caused the strongest changes. This could be explained with previously reported data showing that maximum release of NA from the cat spleen was observed at 30 Hz [18,19]. Higher release ofNA could explain the higher magnitude of the changes observed in this stimulation range.

(51) Optimization of the Signal Parameters (Study 2)

(52) Materials and Methods

(53) In order to develop an optimized stimulation paradigm, the inventors tested several signal parameter settings in the pigs mentioned above using the materials and methods described above.

(54) The optimization of parameters was focused at reducing off target effects and increasing efficiency of the SpN response. In particular, since the systemic changes caused by SpN stimulation were related to the local constriction of the SpA and contraction of the spleen, parameters able to minimize these changes could represent optimal paradigm to be transferred in chronic studies and clinical studies where systemic effects (e.g. changes in sMABP and HR) are not ideal.

(55) Results

(56) Repetitive stimulation of the SpN was found to cause fatigue in the nerve fibers at certain frequencies. This effect consisted of two characteristics: i) a reduction of SpN eCAP amplitude and ii) slowing of SpN conduction velocity. Both these characteristics were observed at frequencies higher than 1 Hz, with fatigue effects increasing with increasing frequency. Stimulation of the SpN at 10 Hz continuously for 1 minute caused, in fact, adaptation in the recorded response, resulting in a decreased amplitude of the eCAP over time (FIG. 8A), and a reduction of conduction velocity of each of the eCAP recorded peaks. This effect was stronger (in magnitude) and faster at higher frequencies. Stimulation of the SpN at 30 Hz continuously for 1 minute, for example, caused a faster and stronger reduction in both eCAP amplitude (FIGS. 8A, 8B(I)-(III)) as well as conduction velocity. After 60 s of stimulation, 10 Hz (total of 600 pulses) pulses caused a reduction of about 60% of the eCAP maximum amplitude while 30 Hz pulses (total of 1800 pulses) resulted in about 80% reduction (FIGS. 8C, 8E). When the SpN was stimulated for 1 min with 1 Hz, instead, the reduction in eCAP over time (FIGS. 8A and 8C) was very small and no significant reduction in conduction velocity was observed. When comparing the reduction of eCAP amplitude over the same number of pulses, 10 Hz and 30 Hz still produced the faster and stronger reduction (FIG. 8C). This fatigue effect over repetitive stimulation of the SpN could be reduced by periodically switching OFF and ON the stimulation. When stimulating the SpN with a burst paradigm, for example giving 5 pulses delivered at 10 Hz, every 5 s, the reduction of eCAP and conduction velocity was abolished (FIGS. 8C to 8F).

(57) In addition, when stimulating at 10 and 30 Hz continuously, a rapid increase in eCAP amplitude was observed within the first 5-20 pulses. This phase preceded the successive reduction in amplitude and velocity (FIGS. 8C and 8E).

(58) As described previously the frequency of the stimulation not only impacted the response of the nerve but it also affected differently the physiology. Frequencies between 30 and 50 Hz caused the strongest changes in mSpA BF that drives the changes in sMABP. Frequencies≤1 Hz caused, in comparison, little changes in mSpA BF. Frequencies between 1 and 30 Hz caused changes of mSpA BF of increasing magnitude. By selecting a high current amplitude (in order to recruit most of the SpN fibres), a 10 Hz, biphasic, symmetric 60 s stimulation is sufficient to cause, at least, a 50% maximum reduction in the mSpA BF. The stimulation of the SpN with the same biphasic symmetric pulses and current amplitude but with 1 Hz frequency, caused a reduction in mSpA BF about 40% lower (decrease from around 70% to around 50%) than the one generated with the 10 Hz stimulation (FIG. 9, FIGS. 8F and 8G).

(59) The same was observed when applying a burst stimulation (5 pulses at 10 Hz every 5 s) using biphasic pulses and the same current amplitude (FIG. 9). Importantly, when the stimulation was applied as biphasic, asymmetric pulses (and same current amplitude) each of the stimulation paradigm resulted in a lower reduction of mSpA BF when compared to their respective biphasic, symmetric paradigm (FIG. 9). Even in this case 1 Hz and burst stimulations produced the lowest changes in mSpA BF.

(60) Herein lies a description of the opportunity space to provide optimised neural activation, in the absence of ‘nerve fatigue’, while provide options for effectively stimulating physiological changes (high frequency), or to avoid them (low frequency or burst frequency), depending on the target profile of the therapy. During surgery it may be very effective to use blood flow changes to induce easily visualised target engagement profiles, to prove the device and therapy are appropriately positioned and of suitable amplitude. Then a switch to burst or low frequency stimulation will ensure ideal nerve engagement for efficacy in splenic engagement, while avoiding clinically consequential effects of continual changes in blood flow in awake patients.

(61) Discussion

(62) Parameters for optimal stimulation (and therefore efficacy) should in principle i) generate a very consistent and maintained amplitude response of the nerve, ii) deliver as many pulses as needed (to obtain the therapeutic effect) in the shortest possible time window in order to reduce energy requirement and discomfort to patients and iii) have the lowest spectrum of off target effects. The stimulation of the SpN at frequencies higher than 1 Hz showed a clear activity-dependent variations in response (eCAP) amplitude and conduction velocity. This effect has been previously observed in other unmyelinated nerves, in both rodents and humans [20,21,22,23]. During regular stimulation at 0.25 Hz, conditioning pulses intermittently interposed at varying inter-stimulus intervals, unmyelinated fibers showed a progressive reduction of conduction velocity dependent on the number of interposed stimuli [20]. The same effect was observed with stimulation of the SpN, where repetitive stimulation caused reduction in conduction velocity as well as reduction in eCPA amplitude. This effect has been previously called “subnormality” of action potential conduction.

(63) When the SpN was stimulated continuously at 10 Hz a short period of increased response has been observed followed by the slowing and reduction of the response phase. This other period has been also described before and termed “supernormality”. Supernormality and subnormality of action potential conduction are probably due an after-depolarization and a subsequent period of hyperpolarization of the membrane when pulses are delivered within a short time window (below 1000 ms from one another) [20,21,22]. When recording eCAP, this membrane changes in the axons that cause an increase in the current activation threshold, resulted in a lower amplitude of the recorded signal. This was not simply an effect of the slowing of the conduction velocity: the recorded eCAP shifted to longer latencies and decreased in amplitude without spreading in total width. In fact the measured AUC was smaller over time. However, it still possible that the observed reduction in eCAP amplitude was due to a de-synchronization of the action potentials that then cancel each other when recording a compound response. Single unit recording would be ideal to demonstrate that the SpN is really subjected to this activity-dependent changes.

(64) It has been shown here that low frequency stimulation (1 Hz or below) or burst stimulation (5 pulses at 10 Hz, every 5 s) caused limited or no fatigue on the SpN as well as caused the lowest off target effects. To date these two paradigms, delivered with biphasic, asymmetrical pulses, represent the optimal stimulation pattern for the SpN for treatment of immune-mediated conditions (e.g. inflammatory disorders). Frequencies higher than 1 Hz, induce changes in blood flow and pressure, and could be useful in identifying nerve-target engagement during electrode positioning.

(65) Effects of Electrostimulation in an In Vivo LPS Animal Model (Study 3)

(66) Materials and Methods

(67) Animals

(68) A total of 18 pigs (over the initial 38) (age/weight) were used for this section of the study. None of these 18 pigs were excluded from the analysis.

(69) General Design

(70) Three hours after the initial stimulations performed as part of another study aim, 18 animals received an intravenous injection of 2.5 μg/kg endotoxin (Purified lipopolysaccharides from the cell membrane of Escherichia coli O111:B4; Sigma Aldrich), administered over a period of 5 minutes. This dose was selected through a thorough review of the available literature and personal experiences. This dose was chosen to cause a septic shock-type of model. Animals which received SpN stimulation 3 hours prior to LPS injection were divided in 2 groups: the SpNS did not receive any further stimulation whereas the SpN2S received asecond SpN stimulation during the LPS injection.

(71) The stimulation parameters include a 1 minute duration, with square, biphasic, charge balanced symmetrical pulses at 10 Hz, with a 400 μs pulse duration and a current amplitude corresponding to a charge density per phase of 30 to 90 μC/Cm.sup.2/phase. The stimulation was applied once and then repeated a second time 3 hours later at the time where LPS was injected in vivo.

(72) Peripheral venous blood was collected immediately prior to LPS injection (baseline), and then every half hour up to 2 hours post injection. At the end of this time-window pigs were euthanized or used for further final electrophysiological tests. For all of these time points, cytokine analysis (TNFα and IL-6), and routine hematology and biochemistry analyses were performed. Serum was diluted 1:10 for the cytokine analyses.

(73) In animals where the LPS injection caused clinical changes in systemic blood pressure and/or cardiac function, standard clinical therapies such as vasopressin (2.5 IU bolus injections administered i.v. and repeated as needed) and anti-arrhythmic drugs (lidocaine; 2 mg/kg i.v. and/or atropine; 40 μg/kg; i.v.) were given at the discretion of the anesthetist. Animals were euthanized when mean systemic arterial pressure could not be maintained ≥40 mm Hg, or when the animal completed the pre-determined endpoint.

(74) Statistical Analyses

(75) All analyses were performed with commercially available statistical software (JIVIP Pro 13.0.0). Continuous variables were visually inspected for normality and outliers. When outliers were identified, statistical tests were performed including and excluding these animals as stated in the result section.

(76) Changes in cytokine and leukocyte levels were calculated as the percentage of baseline samples collected immediately prior to LPS injection. Cytokine and leukocyte levels were subsequently analyzed using a mixed model with stimulation group, time and stimulation group*time as fixed effects, and animal as random effect. Pairwise Student's t-tests were used for Post Hoc analysis. Differences in survival time between stimulation groups was analyzed using the Log Rank test and plotted in a Kaplan Meier plot. Cytokine levels, leukocytes and electrolytes were compared between the different treatment groups at 30 minutes post LPS injection using a two-way ANOVA analysis with Post Hoc All Pairs Student's t-test analysis; this test was also used to compare maximal reduction in mean arterial blood pressure between groups. Statistical significance was defined as P≤0.05.

(77) Results

(78) Survival

(79) Administration of a high dose of LPS caused a rapid change in systemic arterial blood pressure within 5-10 minutes post LPS administration. In the sham (non-stimulated) animals these changes were stronger and more rapid. Many animals required interventions (e.g. injection of vasopressin) in order to maintain safe levels of blood pressure (mean ABP≥40 mmHg). However, in most of the animals the intervention was not enough to restore safe levels of ABP and animals required euthanasia. In addition, few animals showed Tachyarrhythmia and severe tachycardia. Stimulated animals (especially those receiving 2 splenic nerve stimulations) showed lower magnitude changes and a more stable cardiovascular response. The events recorded after LPS administration in stimulate and sham animals are summarized in table 2.

(80) Table 2 describes cardiovascular changes after LPS administration. The table shows the changes in mean arterial blood pressure (MABP) observed in the animals after LPS administration, and treatment administered to individual pigs. The time represent the time after LPS injection. MASS=external chest (cardiac) massage; VAS=administration of vasopressin (2.5 μg/kg i.v.); ATR=administration of atropine; LID=administration of lidocaine; Time Euth=time (minutes) from administration of the LPS to euthanasia; the pre-determined end-point was at 120 minutes.

(81) TABLE-US-00001 TABLE 2 Changes Cardiac Time Group Pig# in MABP abnormalities MASS VAS ATR LID Euth Sham 1 Severe Severe 20 min 20 min 30 min hypotension at tachycardia 10 min 2 Severe Severe 20 min 10 min 20 min hypotension at tachycardia 10 min 3 Moderate Tachyarrhythmia — 20, 25, 30, 80 min hypotension at 35, 40, 45, 20 min 50, 55 min Severe hypotension at 80 min 4 Severe — — 10 min 20 min 20 min 30 min hypotension at 10 min 5 Severe Tachyarrhythmia 20 min 10, 20 min 20 min 25 min hypotension at 10 min 6 Moderate Severe — 90 min 120 min hypotension at tachycardia 90 min SpNS 1 Moderate Tachyarrhythmia — 100 min  100 120 min hypotension at 100 min 2 — — — — — — 120 min 3 Hypotension — — 20 min — — 120 min at 20 min 4 Severe — 20 min — — 30 min Hypotension at 20 min 5 Severe — 20 min — — 40 min Hypotension at 20 min 6 — — — — — — 120 min SpN2S 1 Moderate — 20, 30 min — — 120 min Hypotension at 20 min; Normotension at 60 min 2 — — — — — — 120 min 3 — — — — — — 120 min 4 — — 120 min 5 Severe Tachyarrhythmia 30 min 20 min 30 min 30 min 40 min Hypotension at 20 min 6 — — — — — — 120 min

(82) The 2 hours post injection survival rate is reported in FIG. 10A and FIG. 11A. There was a statistical significant difference in survival rate between the SpN-T vs. Sham (P=0.0194). In brief, LPS injection evoked severe cardiovascular compromise within 10-20 minutes in 5/6 sham animals, necessitating euthanasia (MAP≤40 mm Hg despite treatment) prior to reaching the pre-determined endpoint. Conversely, in 5/6 SpN-T stimulated animals, and 4/6 SpN-P stimulated animals, vital parameters including mean arterial blood pressure remained stable throughout the experiment period; for these groups, MAP at 2 hours post injection was 95.3±13.5, 85.9±7.5 and 86.8±9.7% of baseline values, respectively. Likewise, there was a statistically significant difference in maximal reduction in MAP between the SpN-T vs. Sham (P=0.0296, FIG. 10B and FIG. 11B); mean MAP at the time of euthanasia was 87.1±23.5% of baseline in the SpN-T group (mean survival time 1.8±0.5 hours post injection); 62.7±33.0% of baseline in the SpN-P group (mean survival time 1.4±0.8 hours post injection); and 48.6±37.9% of baseline in the Sham group (mean survival time 0.9±0.7 hours post injection).

(83) Cytokine quantification: For all groups, LPS injection resulted in a significant increase in TNFα levels in all post-injection samples compared to baseline (P≤0.001; FIG. 10C to 10D and FIG. 11C to 11D), with the peak response observed at 1 hour post injection. IL-6 was significantly higher at 2 hours post injection compared to baseline across all groups (P≤0.0001).

(84) When comparing cytokine levels at 0.5 hours post injection, TNFα levels as well as IL-6 levels were not found significantly different between the sham and stimulated groups (FIGS. 10D, 11C and 11D).

(85) Discussion

(86) The administration of LPS in vivo to mimic an inflammatory response provided a good model to test the efficacy of SpN. The administration of LPS (2.5 μg/Kg of body weight) in 45-50 kg pigs caused upregulation of cytokines (TNFα and IL-6) in the blood of all the animals tested. In particular, TNFα reached a peak value of about 12 ng/ml at 1 h post injection while IL-6 picked around 15 ng/ml at 2 h post LPS. The LPS also caused significant changes in the peripheral blood composition, with reduction in circulating lymphocytes and neutrophils (results not shown). White blood cells in fact probably leaves the circulation to infiltrate tissues and organs during the systemic infection mimicked by the LPS. A significant increase in blood urea, creatinine and total bilirubin as well as an increase in CK and ALP over time was also observed after LPS (results not shown). All these changes indicated that the model was effective and reproducible between animals.

(87) Strikingly sham animals showed a very rapid and strong decrease in systemic MABP, at about 10-15 minutes post LPS administration. Reduction in systemic MABP reached levels that would be rapidly life threatening levels, requiring the administration of vasopressin. However, in most of the controls this was not sufficient to stably restore a normal sMABP. Even when further injections of vasopressin were performed, 4/6 sham controls had to be euthanized at 30 minutes post LPS injection since their sMABP could not be kept above 40 mmHg. One of the sham was instead euthanized 110 minutes post LPS injection for the same reason. In some cases, arrhythmias were also observed.

(88) On the opposite, most of the animals that were stimulated (at either−3 h or at−3 h and 0 h, relative to LPS) did not show such strong changes in sMABP. Most of them did not require any pharmacological intervention (i.e. vasopressin). This pro-survival effect of SpN stimulation, however, could not be explained by a lowering of the concentration of LPS-induced cytokines. TNFα and IL-6, in fact, measured at 30 minutes post LPS injection were not reduced in the stimulated animals when compared to sham animals. Therefore, even though this model provided the proof that SpN stimulation is able to modulate the response to an inflammatory stimulus, this could not be simply explained by a reduction in the inflammatory response.

(89) Summary

(90) In summary, the inventors found that neural stimulation of a nerve supplying the spleen, and in particular, the splenic arterial nerve, showed pro-survival effects in an in vivo LPS animal model. The inventors also found that electrical stimulation of the splenic arterial nerves stabilized blood pressure, which drops dramatically in LPS-treated animals, and reduced the maximum reduction in blood pressure. Hence, stimulation of the neural activity of splenic nerves can be particularly useful for treating acute medical conditions, such as life-threatening conditions having physiological changes associated with shock, blood loss, and cardiovascular dysfunction (e.g. trauma, hemorrhaging and septic shock).

(91) Effects of Continuous Electrostimulation in In Vivo LPS Animal Model (Study 4)

(92) Materials and Methods

(93) Animals

(94) A total of 23 pigs (weight 65-70 Kg) were used for this section of the study.

(95) General Design

(96) Pigs were terminally anesthetized and split into the following five groups: sham (implanted with electrodes but not stimulated), Dexamethasone (the SpN was accessed and then animals were injected with Dexamethasone at −2 and 0 h), LVNS (pigs were implanted on the cervical LVN), eLVNS (pigs were implanted on the cervical LVN, that was ligated and cut distal to the cuff electrode and the efferent stump only stimulated), and SpNS (pigs were implanted on the peri-arterial SpN).

(97) The implanted devices of the LVNS, eLVNS and SpNS pigs were stimulated continuously from −2 h to +1 h (relative to the injection of LPS) at 1 Hz. E. coli-derived LPS was administered at a dose of 0.25 μg/Kg to all groups at 0 h. Dexamethasone was used as positive control.

(98) Peripheral venous blood was collected for 2 h prior to LPS injection (baseline), and then every half hour up to 4 hours post injection. For all of these time points, cytokine analysis (TNFα and IL-6), was performed by commercially available ELISAs.

(99) Results

(100) Cytokine quantification. For all groups, LPS injection resulted in a significant increase in TNFα levels in all post-injection samples compared to baseline (pre-LPS injection), with the peak response observed at approximately 1 hour post injection (FIG. 12A). A similar trend was observed for IL-6. IL-6 response peaked approximately 2.5 hours post injection.

(101) Cytokine levels were compared between groups by calculating the area under the curve (AUC) from between −2 h to +4 h post-injection. TNFα levels were only slightly reduced in SpN as well as LVNS and eLVNS groups when compared to Sham. For IL-6, there was a reduction in both the peak response value (FIG. 12E) and the AUC (FIG. 12F) in SpNS group. Similar reduction was also observed for LVNS and eVLNS groups compared to the sham control.

(102) Discussion

(103) The administration of LPS in vivo to mimic an inflammatory response provided a good model to test the efficacy of SpN stimulation. The administration of LPS (0.25 μg/Kg) in 65-70 kg pigs caused upregulation of cytokines (TNFα and IL-6) in the blood of all the animals tested. In particular, TNFα reached a peak value of about 5 ng/ml at 1 h post injection while IL-6 peaked at around 0.5 ng/ml at 2.5 h post LPS injection.

(104) Therefore, this model provides the proof that SpN stimulation is able to modulate the response to an inflammatory stimulus, and shows that prolonged stimulation of SpN reduces the levels of pro-inflammatory cytokines, as seen in particular by the reduction of IL-6. This is likely to be beneficial for reducing inflammatory responses in subjects, particularly in light of recent evidence showing the vagus nerve stimulation is beneficial in the treatment of autoimmune disorders.

(105) Summary

(106) In summary, the inventors found that neural stimulation of a nerve supplying the spleen, and in particular, the splenic arterial nerve, showed pro-survival effects in an in vivo LPS animal model. Hence, stimulation of the neural activity of splenic nerves can be particularly useful for treating inflammatory disorders,

(107) Characterization of the Splenic Arterial Loop (Study 5)

(108) Materials and Methods

(109) To investigate the different neural pathways to the spleen, six formaldehyde preserved human cadavers were studied. Tissue blocks of the spleen, stomach, pancreas, greater omentum, gastrosplenic ligament and, if present, the phrenic splenic ligament were removed.

(110) Multiple characteristics relevant to the splenic plexus were analyzed, including dissection parameters of the splenic artery in general (for example, length, cross-sectional diameter, etc) the splenic arterial loops and branches of the splenic artery, as well parameters relating to the relationship of the splenic artery with surrounding tissues.

(111) Tissue samples of the splenic artery were also analyzed by immunohistochemical staining (IHC). IHC was used to detect and quantify associated nervous tissue. General, sympathetic and afferent nervous tissue were immunohistochemically detected in tissue resections by using anti-Protein Gene Product 9.5 (PGP9.5), anti-Tyrosine Hydroxylase (TH) and anti-Calcitonin Gene-Related Peptide (CGRP) antibodies, respectively. Immunohistochemical staining and visualization was performed using routine procedures. For all splenic plexus samples, automatically stitched overview images (tile scans) were generated from composite brightfield and fluorescent microscopy images and were the subject of further image analysis using FIJI Image J (with additional plug-ins).

(112) Results

(113) In all cases, the splenic artery originated from the coeliac trunk. The course was mostly suprapancreatic, although in some cadavers parts of the splenic artery were retropancreatic, intrapancreatic or anteropancreatic.

(114) The average absolute length of the splenic artery (measured by placing a cord along the splenic artery) was 18.02 cm, with an average straight line distance from the origin at the coeliac trunk to the imaginary sagittal plane of the spleen of 11.67 cm. The imaginary sagittal plane describes the line connecting the upper and lower pole of the spleen. The average diameter of the splenic artery at its origin was 0.52 cm. The average diameter of the splenic artery before its terminal branches was 0.40 cm. The average number of terminal branches was 5.5 (2-9) and the average diameter of the terminal branches was 0.22 cm (0.05-0.5). Table 1 shows the parameters of the splenic artery for each cadaver analyzed as well as the average value for each parameter.

(115) TABLE-US-00002 TABLE 1 Quantitative data on general dissection parameters concerning the SA of each cadaver, followed by the average value. Cadaver nr. III IV VII VIII IX X Average Absolute length 18.3 24.5 19.5 19.9 12.9 13.0 18.02 (12.9-24.5) SA (cm) Distance origin SA 10.5 16.5 12.5 12.0 8.5 10.0 11.67 (8.5-16.5) to spleen (cm) Diameter SA at 0.6 0.3 0.65 0.45 0.6 0.5 0.52 (0.3-0.65) origin (cm) Diameter SA before 0.4 0.4 0.5 0.3 0.5 0.3 0.40 (0.3-0.5) terminal branches (cm) Diameter terminal 1: 0.4 1: 0.4 1: 0.5 1: 0.25 1: 0.1 1: 0.1 0.22 (0.05-0.5) branches (cm) 2: 0.1  2: 0.25  2: 0.15 2: 0.25 2: 0.3 2: 0.3 3: 0.2 3: 0.3 3: 0.15 3: 0.3 3: 0.4 4: 0.2 4: 0.3 4: 0.2   4: 0.15 4: 0.3 5: 0.2  5: 0.15  5: 0.25 6: 0.2  6: 0.15 7: 0.2 7: 0.1 8: 0.1 8: 0.1 9: 0.1  9: 0.05

(116) FIG. 13A shows an overview of the splenic artery and its branches of cadaver III. Distances from each branch to the origin of the SA and to the imaginary sagittal plane of the spleen are shown. In addition, the location and dimensions of the loop can be seen. The boxes show the location of the samples removed for microscopy. In FIG. 13B, the diameter of certain points along the splenic artery and its branches are depicted.

(117) Splenic Arterial Loops

(118) In the context of this example, a splenic arterial loop is defined as a section of the splenic artery separated from the surface of the pancreas by a distance of at least 1.0 cm. This distance is calculated from the inner curvature of the splenic artery to the surface of the pancreas.

(119) The average number of “loops” observed across the analyzed sample pool was 1.34. One cadaver did not present any loops, three cadavers presented one loop, one cadaver presented two loops and one cadaver presented three loops. The average loop neck (the distance between the inside curvature of both legs of the loop) was 1.99 cm. The average distance from the outside of the first leg of the loop to the splenic arterial origin was 6.48 cm. The average distance from the outside of the second leg of the loop to the imaginal sagittal plane of the spleen was 4.34 cm. Both these distance were highly variable. The average loop height (the distance between the inner curvature on top of the loop, and the surface of the pancreas) was 1.29 cm. The average diameter of the splenic artery preceding the first leg of the loop and succeeding the second leg of the loop were 0.46 cm and 0.41 cm, respectively. The individual and average splenic arterial loop parameters of each cadaver are shown in Table 2.

(120) TABLE-US-00003 TABLE 2 Quantitative data on dissection parameters concerning the loop(s) of each cadaver, followed by the average value. Cadaver. III IV VII VIII IX X Average Loop number. 1 1 2 3 1 1 2 — 1 1.34 (0.0-3.0) Loop neck (cm) 2.5 1.5 1.1 2.3 2.0 2.0 1.5 — 3.0 1.99 (1.1-3.0) Distance loop to 2.5 5.0 8.5 12.5 8.0 3.2 7.1 — 5.0 6.48 (2.5-12.5) origin SA (cm) Distance loop to 5.0 8.5 6.5 1.5 2.0 6.2 2.5 — 2.5 4.34 (1.5-8.5) spleen (cm) Loop height (cm) 1.0 1.0 1.0 1.8 1.7 1.5 1.3 — 1.0 1.29 (1.0-1.8) Diameter SA before 0.5 0.5 0.5 0.4 0.6 0.4 0.4 — 0.4 0.46 (0.4-0.6) loop (cm) Diameter SA first 0.5 0.5 0.5 0.4 0.5 0.4 0.4 — 0.3 0.44 (0.3-0.5) leg loop (cm) Diameter SA second 0.5 0.5 0.5 0.4 0.5 0.4 0.3 — 0.3 0.43 (0.3-0.5) leg loop (cm) Diameter SA after 0.5 0.5 0.4 0.4 0.5 0.4 0.3 — 0.3 0.41 (0.3-0.5) loop (cm)

(121) Immunohistochemical Staining.

(122) Results of the Immunohistochemical analysis of nerve bundles surrounding splenic arterial loops is shown in Table 3. The average number of nerve bundles around a splenic arterial loop was 25. The average diameter of nerve bundles was 119 μm. The average total area of sympathetic (TH-IR) nervous tissue was 196986 μm.sup.2 (12645-815135), which is on average 0.54% (0.10-1.50) of the total tissue area. The diameter of the neurovascular bundle (the splenic artery and the surrounding tissue), was an average of 8553 μm (5177-12447). The distance of the nerve bundles to the location of the cuff (the outer lining of the tissue) was on average 628 μm (32-2678).

(123) TABLE-US-00004 TABLE 3 Average values of all sample locations of loops of the SA for each image analysis parameter. Average nerve bundle parameters of the splenic arterial loop Number of nerve bundles 25 (11-45) Diameter nerve bundle (μm) 119 (25-996) Total TH-IR tissue (μm.sup.2) 196986 (12645-815135) % TH-IR of total tissue 0.54 (0.01-1.50) Diameter neurovascular bundle (μm) 8553 (5177-12447) Distance to cuff (μm) 628 (32-2678)

(124) In general, total PGP-IR (general nervous tissue) and TH-IR (sympathetic neural tissue) staining was comparable in nervous bundles surrounding splenic arterial loops. There was minimal staining of CGRP-IR (afferent nervous tissue). A sample of the total area of PGP-IR, TH-IR, and CGRP-IR nervous tissue calculated for three samples obtained from separate cadavers in shown in Table 5.

(125) TABLE-US-00005 TABLE 4 Results first image analysis performed on three sample locations of the splenic loop of different cadavers, comparing the amount (and percentage) of PGP-IR, TH-IR, and CGRP-IR nervous tissue. Cadaver Cadaver Cadaver III (A5) IV (A5) VII (A6) Total area PGP-IR 247505 192682 530856 nervous tissue (μm.sup.2) Total area TH-IR 301675 (121.89%) 171133 (88.82%) 516263 (97.25%) nervous tissue (μm.sup.2) Total area CGRP-IR 1.581 (0.64%) 3692 (1.92%) 4354 (0.82%) nervous tissue (μm.sup.2)

(126) Discussion

(127) The analysis performed here shows that the splenic arterial loop is a commonly observed feature of the splenic artery. The loops are generally characterized by have a separating distance from the surface of the spleen to the inside curvature of the splenic artery of about 1 cm. This separating distance makes these sites useful targets for the surgical implantation of neural stimulation systems for neuromodulation of the splenic arterial nerve. The splenic arterial loops are more accessible, and carry less risk associated with surgical-induced trauma, by negating the need to excise the splenic artery from the surface of the pancreas.

(128) Effects of Splenic Arterial Nerve Stimulation Before and after the Onset of Disease in Mice with Collagen-Induced Arthritis

(129) Materials and Methods

(130) Implantation and Stimulation

(131) For splenic nerve implantation, one mm length 100 μm-sling bipolar micro-cuff electrodes (CorTec) were implanted onto the splenic arterial nerve. Mice were anesthetized and Cortec electrodes were implanted onto the arterial splenic nerves. Five days following surgery, stimulation was started in the prophylactic treatment groups, either 1× or 6× a day, and at day 28, ×6 a day in the treatment group with active disease (rectangular charged-balanced biphasic pulses with 650 μA pulse amplitude, 2 ms pulse width (positive and negative) at 10 Hz frequency for 2 minutes.

(132) Induction of Collagen-Induced Arthritis and Clinical Score

(133) Bovine type II collagen (2 mg/ml in 0.05M acetic acid; Chondrex, Redmond, Wash.) was mixed in an equal volume ofFreund's complete adjuvant (2 mg/ml of Mycobacterium tuberculosis; Chondrex). The mice were immunized intradermally at the base of the tail with 100 μl of emulsion (100 μg collagen) on day 0. On day 21, mice received an IP booster injection of 100 μg type II collagen in phosphate buffered saline (PBS). At day 11, mice were anaesthetized with isoflurane and the spleen area was exposed. One mm length 100 μm-sling micro-cuff electrode (CorTec) was implanted onto the apical splenic nerve. At day 16, mice were placed in individual cage and connected to a PlexStim V2.3 (Plexon) stimulator and stimulation was started on the indicated days. The severity of arthritis was assessed using an established semiquantitative scoring system (for example clinical score) of 0-4, where 0=normal, 1=swelling in 1 joint, 2=swelling in ≥1 joint, 3=swelling in the entire paw, and 4=deformity and/or ankylosis. The cumulative score for all 4 paws of each mouse (maximum possible score 16) was used to represent overall disease severity and progression. For the evaluation of incidence, mice were considered to have arthritis if the clinical arthritis score was at least at 1 point for three consecutive days.

(134) Discussion

(135) The splenic arterial nerve (SpN) stimulation was investigated in a more chronic setting, the collagen-induced arthritis model (CIA) in mice. The mice were electrically stimulated 6 times a day (every 4 hours), or once a day starting on day 16 and followed for clinical symptoms until 45 days (FIG. 14A). While all SHAM mice and developed arthritis within 40 days, mice which were stimulated 6 times a day were complete protected throughout the stimulation period (up to day 45), with the exception of one animal (FIG. 14B). Stimulating 6 times was more effective as stimulating only 1 time a day, however, one time a day reduced disease severity compared to the sham group. In a pilot experiment starting stimulation 6 times a day after onset of disease (day 28) an increase in clinical scores (FIG. 15) was prevented.

(136) In the prophylactic treatment group (stim start day 16), stimulation was stopped after day 45. It was evaluated if a 30 day stimulation could result in a long-term decrease in disease development or even prevent onset of disease in the animals which still did not show clinical signs of arthritis. All animals, except one, developed arthritis although the clinical scores are on average lower compared to sham implanted animals.

(137) Electrophysiological Characterization of Human Splenic Nerves:

(138) Materials and Methods

(139) Human SpN Specimens

(140) One fresh harvested tissue from a donor patient containing the splenic neurovascular bundle NVB was preserved in organ transplant-suitable solution on ice for transportation. Upon arrival the specimen was placed in ice-cold Kreb's solution under a dissecting microscope, and a minimum of one discrete SpN fascicle per sample was carefully separated from the SpA and subsequently instrumented with two bipolar circumferential cuff electrodes (0.65 mm diameter, 5.5 mm length; CorTec GmbH) placed approximately 10 mm apart, to evoke and record CAPs. Fascicle electrode coverage was estimated to be 100% in all implantations.

(141) Recordings

(142) Nerve activity was continuously monitored using an oscilloscope, and digitally recorded via a 1401 digital acquisition system and Spike2 software (Cambridge Electronic Design Ltd), with the sampling rate set at 20 kHz. Evoked CAPs were averaged (8 pulses) and the peak-to-peak amplitude of the averaged response quantified. The conduction velocity of the eCAP components was calculated from the measured distance between the stimulation site and the recording site and the latency of the eCAP signal (measured from the peak of the stimulation artefact to the peak of the eCAP).

(143) Results

(144) Compared to the porcine samples, the human SpA presented with a more convoluted course as previously described (Michels 1942). Furthermore, the splenic NVB was embedded in extensive amounts of connective tissue and fat (FIG. 16A), making recordings from the entire circumference of the structure challenging. However, using a dissecting microscope, several nerve fascicles were visible and later confirmed as such by histological sections of the specimens (FIG. 16B). After instrumenting some of these fascicles with stimulating and recording cuff electrodes (FIG. 16A, upper and lower image), stimulation generated clear eCAPs (FIG. 16D, upper trace). To confirm the validity of the recording at the end of the experiment the fascicles were crushed between the stimulating and recording electrodes and attempts to re-record were made (FIG. 16D, lower trace). Typical recruitment curves were obtained when applying stimulations at specific pulse durations (e.g. 100, 200, 400, 800 and 1000 μs; PW) and increasing amplitude (FIG. 16E).

(145) Calculated conduction velocities demonstrated typical values for unmyelinated fibres, where the range and average conduction velocity was 0.49 m/s, compared to porcine (0.7 m/s) and rat (0.72 m/s) SpN (FIG. 16F). In addition, the eCAP recordings of the human SpN showed a typical strength-duration relationship between current amplitude for nerve recruitment and pulse duration (FIG. 16G). Linear regression of the calculated charge density value for eCAP threshold recording showed slopes significantly different from zero (P=0.0084), with the lowest PW (100 μs) requiring 13.44 μC/cm.sup.2, and the longest PW (2000 μs) requiring 14.7 μC/cm.sup.2. Importantly, the slope in the charge density for the human SpN fascicles was found to be similar to the slope of the charge density for the porcine fascicles (FIG. 16H). In addition, the charge density requirement for nerve activation of the dissected human fascicles was about 1.5-2 times higher than the charge density required for activation of the porcine SpN fascicles at any PW (FIG. 16H).

(146) Discussion

(147) The human SpN has anatomical, morphological and electrophysiological characteristics similar to other mammals (porcine and rodent). The human SpN are composed of unmyelinated axons as confirmed by conduction velocities. It is therefore appropriate to assume that the stimulation parameters (frequency and waveform) optimized in the pig will be also suitable for the human splenic nerve. However, requirements for charge need to be calculated from the entire NVB.

(148) Histomorphometric Characterization of Human Splenic Anatomy

(149) The objective of this study was to develop an understanding of the human splenic anatomy and estimate the approximate values of splenic neurovascular bundle (NVB) using histology (see Table 2). The study was performed on the splenic tissue received from transplant patients. Histomorphometric estimations for lumen diameter, arterial wall, fascicle diameter (mean Feret diameter) and the approximate distance of each fascicle from adventitia (outer splenic arterial wall) were calculated.

(150) Materials and Methods:

(151) Five human splenic NVBs were provided from transplant patients at Addenbrooke's hospital, Cambridge, UK. The tissue was immersed in 10% neutral buffered formalin (NBF) as soon as possible post-excision. Photographs of the tissue were taken, with a ruler present for gross measurements (see FIG. 17A). The samples were divided in sequential blocks of 0.5 cm-1.5 cm for histology (see FIG. 17B). The tissue around the artery was retained for inclusion in the block. The sections were embedded and sectioned such that the same face of each block (i.e. proximal or distal to spleen) was sampled each time. The sections were usually 4-5 um thick and were stained with hematoxylin and eosin stain (H&E) (see FIG. 17C). Finally, a quality check of the tissue was performed by a pathologist and the glass slides were scanned at ×20. It should be noted that, as per literature, 10% of tissue shrinkage is accounted for. However, the artery diameter is representative of zero pressure. High amounts of adipose tissue was noted in all the samples received from transplant patients and the fascicles were found to be buried in a thick layer of adipose tissue.

(152) TABLE-US-00006 TABLE 2 Estimated range for human splenic neurovascular bundle (~7 mm to 10 mm) Range of extravascular Total NVB Accounting for tissue (*Does not Lumen Wall + shrinkage of (based on account for Sample Lumen Arterial the tissue middle splenic pulsatile nature Number Diameter wall (+10%) arterial loop) of the artery) Sample 3.01 mm 5.02 mm  5.5 mm 3.5 mm .sub. 9 mm 308B X91165 Sample 3.92 mm  5.2 mm 5.72 mm 2.4 mm 8.12 mm  359B X91252 Sample  3.3 mm 4.93 mm 5.42 mm 3.8 mm 9.2 mm 377C X91287 Sample 2.76 mm 4.72 mm 5.192 mm  4.9 mm  10 mm 380C X91291 Sample 2.57 mm   4 mm  4.4 mm 2.5 mm 6.9 mm 382B X91299

(153) For quantification purposes, the splenic tissue was divided into three parts: proximal, middle and distal. Each of these parts consisted of several sections. The proximal end is close to the celiac indicated with a suture in FIG. 17A and distal is close to the spleen. Both of these are unlikely to be the intervention site for neural interface placement. The middle part with loops would be the likely intervention site.

(154) To summarise, as shown in FIG. 18, fascicle diameters are in the range of 20-400 um. For the fascicle spread approximately half of the nerve fibres were found in 0-1 mm region, 30% in 1-2 mm, 15% in 2-3 mm and the remaining in about 3-4 mm region.

(155) Translational Charge Requirements from Porcine to Human Splenic Neurovascular Bundle

(156) Materials and Methods:

(157) 3D Finite Element Model computer simulations were created using histology data from porcine and human splenic histology. This essentially comprised of splenic artery (lumen+arterial wall) and extravascular tissue. The ‘extravascular tissue’ is composed of ‘adipose tissue’ and ‘connective tissue’, with nerves embedded in the tissue. For porcines, a model with a split in the Cortec cuff (representing the in-vivo cuff) was used. For human models, cuffs with three arms structure were used. The diameter of the used cuff was 9 mm.

(158) Considering the differences between porcine and human histology: the fascicles in porcine are evenly distributed around the artery and are in close proximity, whereas the fascicles in humans appear more dispersed; and b) the histology in porcine indicates negligible adipose tissue extravascularly, converse to substantial amounts in humans.

(159) To translate the estimation of stimulation parameters from porcine to human, modeling was performed in the following two phases:

(160) Phase (a): Development of 3D Finite Element Models (FEM) in Sim4Life simulation tool.

(161) Sim4Life was used to develop representative nerve and artery models (based on histology and image quantification), cuff and electrodes (specifications defined by CAD) and 3D voltage fields.

(162) Phase (b): Analysis of FEM solutions in the same tool. Sim4Life was used to interpolate voltage along axons using Sundt nerve model [24], and axon simulations estimated the strength-duration and population recruitment curves.

(163) Results

(164) FIG. 19A represents the in-vivo acute data from porcine splenic neurovascular bundle from five animals. The range from five animals for charge requirements is estimated to be approximately 20-160 uC/cm.sup.2 at ≤50 mA, 400 us and 10 Hz. For the third animal represented in grey the charge requirements are approximately 100 uC/cm.sup.2 at 30 mA, 400 us and 10 Hz, which correlates well with the simulated data in-silico (see FIG. 20A). Using the correlation of in-silico vs in-vivo as a validation for the computational model in porcine, the charge requirements were translated to human splenic neurovascular bundle using histology sections for two pulse widths. The data is presented in FIGS. 20C-D and Table 3.

(165) TABLE-US-00007 TABLE 3 Charge estimates for human models for two pulse widths i.e. 400 us and 1 ms pulses Charge estimates Charge estimates 400 us 1000 us Pulse Width (μC/phase/cm.sup.2) (μC/phase/cm.sup.2) % recruited (Approx.) (Approx.) Threshold 79 70 10 130 110 30 170 150 50 225 200 80 422.8 335 80-100 450-1300 350-1100

(166) It is estimated that the charge requirements in human acute models for a recruitment of 100% can potentially vary from approximately 80-1300 μC/cm.sup.2 (using 400 uS pulse widths, 12 mm.sup.2 surface area) and 70-1100 μC/cm.sup.2 (using 1 ms pulse widths). Approximately 70% of the recruitment is indicated under 350 μC/cm.sup.2. The additional 30% recruitment requires exponential increase in charge requirements beyond what is likely accommodated for by an implantable device. For example, it can be seen that a recruitment of 100% can potentially vary between 70-1300 μC/cm.sup.2, between 70-450 μC/cm.sup.2 for 80% recruitment, between 70-250 μC/cm2 for 50% recruitment, and between 70-170 μC/cm.sup.2 for 30% recruitment.

(167) Discussion

(168) The nerves fibres in the humans are more dispersed in comparison to porcines. The range of the fascicle spread around splenic artery as indicated by histology profiling can be in the range of approximately 1-3 mm. The histomorphomteric data was further used to optimise the stimulation parameters and translate the charge requirements from porcines to humans using computational modelling tools. Using Sundt c-fibre model the charge requirements for humans is indicated to be in range of approximately 70-1000 μC/cm.sup.2 for hundred percent recruitment.

REFERENCES

(169) [1] Medzhitov, Nature 454, 428-435 (24 Jul. 2008). [2] J. M. Huston et al., J Exp Med 203, 1623. [3] D. M. Nance, V. M. Sanders, Brain Behav Immun 21, 736. [4] H. H. Dale, H. W. Dudley, J Physiol 68, 97. [5] C. Cailotto et al., Neurogastroenterol Motil 24, 191. [6] M. Rosas-Ballina, K. J. Tracey, Neuron 64, 28. [7] G. Vida, G. Pena, E. A. Deitch, L. Ulloa J Immunol 186, 4340. [8] B. O. Bratton et al., Exp Physiol 97, 800. [9] D. Martelli, S. T. Yao, M. J. McKinley, R. M. McAllen, J Physiol 592(7), 1677. [10] D. Martelli, S. T. Yao, J. Mancera, M. J. McKinley, R. M. McAllen, Am J Physiol Regul Integr Comp Physiol 307, R1085. [11] D. Martelli, M. J. McKinley, R. M. McAllen, Auton Neurosci. 182, 65. [12] Koopman F A et al., Proc Natl Acad Sci USA, 19; 60(29):8284. [13] Greenway et al., J. Physiol. (1968), 194, 421-433. [14] US 2006/0287678. [0418] [15] US 2005/0075702. [16] US 2005/0075701. [17] Schafer, E. A. and Moore, B., J Physiol, 1896. [18] G. L. Brown, J. S. Gillespie J S, J Physiol, 138:81-102, 1957. [19] A. G. Garcia, et al., J Physiol, 261:301-317, 1976. [20] Gee, M. D., Lynn, B., Cotsell, B., Neuroscience, 1996, 73, 3, 667-675. [21] Weidner, C., et al., J of Physiol 2000, 527, 185-191. [22] Lin, C. S., Mogyoros, I., Burke, D., Muscle Nerve, 2000, 23, 5, 763-770. [0426] [23] Stohr, M., J of Neurol Sci 1981, 49, 1, 47-54. [0427] [24] Sundt D, et al., Journal of neurophysiology. 114:3140-53, 2015.Electrical Stimulation of the Splenic Arterial Nerve in Pig (Study 1)