Skip to main content

ORIGINAL RESEARCH article

Front. Physiol., 19 January 2023
Sec. Integrative Physiology
This article is part of the Research Topic Model Organisms and Experimental Models: Opportunities and Challenges in Integrative Physiology View all 5 articles

Physiological changes associated with copper sulfate-induced nausea and retching in felines

Charles P. Murphey,Charles P. Murphey1,2Jonathan A. Shulgach,Jonathan A. Shulgach1,3Pooja R. AminPooja R. Amin1Nerone K. DouglasNerone K. Douglas1John P. BielaninJohn P. Bielanin1Jacob T. SampsonJacob T. Sampson1Charles C. Horn,,Charles C. Horn4,5,6Bill J. Yates,
Bill J. Yates1,2*
  • 1Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
  • 2Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA, United States
  • 3Mechanical Engineering Department, Carnegie Mellon University, Pittsburgh, PA, United States
  • 4UPMC Hillman Cancer Center, Pittsburgh, PA, United States
  • 5Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
  • 6Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States

Nausea is a common disease symptom, yet there is no consensus regarding its physiological markers. In contrast, the process of vomiting is well documented as sequential muscular contractions of the diaphragm and abdominal muscles and esophageal shortening. Nausea, like other self-reported perceptions, is difficult to distinguish in preclinical models, but based on human experience emesis is usually preceded by nausea. Here we focused on measuring gastrointestinal and cardiorespiratory changes prior to emesis to provide additional insights into markers for nausea. Felines were instrumented to chronically record heart rate, respiration, and electromyographic (EMG) activity from the stomach and duodenum before and after intragastric delivery of saline or copper sulfate (CuSO4, from 83 to 322 mg). CuSO4 is a prototypical emetic test agent that triggers vomiting primarily by action on GI vagal afferent fibers when administered intragastrically. CuSO4 infusion elicited a significant increase in heart rate, decrease in respiratory rate, and a disruption of gastric and intestinal EMG activity several minutes prior to emesis. The change in EMG activity was most consistent in the duodenum. Administration of the same volume of saline did not induce these effects. Increasing the dose of CuSO4 did not alter the physiologic changes induced by the treatment. It is postulated that the intestinal EMG activity was related to the retrograde movement of chyme from the intestine to the stomach demonstrated to occur prior to emesis by other investigators. These findings suggest that monitoring of intestinal EMG activity, perhaps in combination with heart rate, may provide the best indicator of the onset of nausea following treatments and in disease conditions, including GI disease, associated with emesis.

1 Introduction

Nausea is an important defense mechanism against poisoning, is a symptom of a variety of conditions, such as gastrointestinal (GI) disease and vestibular disorders, and it is a common side effect of many clinical treatments, such as cancer chemotherapy, inhalational anesthesia, and opioid pain medications (Golding and Gresty, 2015; Piechotta et al., 2021; Weibel et al., 2021). Nausea is also difficult to treat, especially in chronic conditions where patients are often provided anti-emetics, which are less effective for the control of nausea (Koch et al., 2016; Lacy et al., 2018). In contrast to other conditions, such as pain and anxiety, the physiological indicators of nausea are not well established. Based on human experience, emesis, which is produced through a well-characterized sequence of muscle contractions (Grelot and Miller, 1994), is usually preceded by nausea.

Changes in cardiac and GI myoelectric responses are commonly reported correlates of nausea in humans, specifically related to emetogenic platinum-based chemotherapy (using drugs such as cisplatin), GI diseases, and motion sickness (Morrow et al., 2000; Himi et al., 2004; Carson et al., 2022). Increased heart rate, decreased heart rate variability, and changes in gastric myoelectric activity have been reported to be associated with nausea (Morrow et al., 2000; Himi et al., 2004; Kim et al., 2011; LaCount et al., 2011). Several preclinical studies using the most common emetic test species (dog, cat, and ferret) have tracked the temporal associations between emesis and these responses. In dogs, cisplatin chemotherapy and intragastric copper sulphate (CuSO4) disrupt intestinal and gastric myoelectric activity (Lee et al., 1985; Chey et al., 1988; Ando et al., 2014). In cats, centrally acting emetic agents, particularly morphine and apomorphine, disrupt intestinal myoelectric activity associated with emesis (Stewart et al., 1977). In addition, studies using ferrets showed simultaneous changes in cardiac and GI myoelectric measures following emetic treatments; for example, cisplatin treatment produced gastric myoelectric disruption, an increase in heart rate, and a decrease in heart rate variability (Lu et al., 2017). Limitations of these prior studies include a lack of simultaneous measures in each experiment (e.g., intestinal, gastric, and cardiorespiratory recordings). In addition, most failed to use an acute emetic stimulus, such as intragastric CuSO4, to permit temporal associations between physiological measures and the onset of emesis.

The focus of the current study was to examine changes in cardiorespiratory, gastric and intestinal myoelectric signals preceding emesis, and, therefore, to ascertain potential markers for nausea. We used the cat model in the current work because of its well-documented physiologic responses during emesis (Makale and King, 1992; Hickman et al., 2008), ease of surgical electrode placement, and adaptability to behavioral training. Importantly, we trained animals to remain sedentary while loosely restrained to limit the occurrence of electrical artifacts. We also used intragastric CuSO4 as the emetic test stimulus because copper and its derivatives are known to elicit nausea in humans (Pizarro et al., 1999; Araya et al., 2001). CuSO4 rapidly triggers emesis in cats and other preclinical models primarily by activating the GI vagus nerve-to-brain pathway (Wang and Borison, 1951; Brizzee and Marshall, 1960; Makale and King, 1992; Horn et al., 2014). The acute action of this agent allowed us to monitor a variety of physiologic parameters prior to emesis during a controlled recording session. Before and following CuSO4 treatment we recorded heart rate, respiration rate, and gastric and duodenal myoelectric responses using methodology developed through our work in ferrets (Nanivadekar et al., 2019; Shulgach et al., 2021). The dose of CuSO4 was additionally varied between animals so we could determine whether increasing the dose altered physiologic responses prior to emesis.

A preprint of this article was posted on the BioRxiv preprint server (Murphey et al., 2022).

2 Methods and materials

2.1 Animals and husbandry

All experimental procedures on animals were approved by the University of Pittsburgh’s Institutional Animal Care and Use Committee, in accordance with the National Research Council’s Guide for the Care and Use of Laboratory Animals (National Research Council, 2011). Experiments were performed on 10 antibody profile defined and specific pathogen free domestic shorthair cats (6 male, 4 female) obtained from Marshall BioResources (North Rose, New York, United States of America). Animals were provided commercial cat food and water ad libitum and were housed under 12 h light/dark cycles. Characteristics about the animals and other experimental parameters are provided in Table 1.

TABLE 1
www.frontiersin.org

TABLE 1. Characteristics of animals used in the experiments, as well as experimental parameters.

2.2 Acclimation and surgical procedures

As in our prior experiments (Patel et al., 2018; Bielanin et al., 2020; Miller et al., 2020), animals were gradually acclimated over at least 5 weeks for 1-h of confinement in a nylon restraint bag attached to a recording platform using Velcro straps. Subsequently, an aseptic recovery surgery was performed in a dedicated operating suite as described below to attach two-contact platinum-iridium 90/10 electrodes in a silicone patch (Micro-leads Inc, Somerville, MA, United States), similar to those used in prior studies (Nanivadekar et al., 2019; Shulgach et al., 2021), to the proximal duodenum and gastric antrum, on the ventral surface (Figure 1). In addition, custom-fabricated electrodes consisting of flexible insulated wire (Cooner Wire, Chatsworth, CA United States) embedded in medical grade silicon (Bentec Medical, Woodland, CA United States) were attached to the diaphragm and abdominal muscles (Figure 1).

FIGURE 1
www.frontiersin.org

FIGURE 1. Placement of recording electrodes on the diaphragm (A), abdominal musculature (B), stomach antrum (C), and upper duodenum (D). A ruler with 1 mm hatch marks is placed next to the electrode in each panel.

For the surgery, animals were initially anesthetized with an intramuscular injection of ketamine (15 mg/kg) and acepromazine (0.5 mg/kg) to permit the insertion of an endotracheal tube. Subsequently, anesthesia was maintained with 1%–2% isoflurane vaporized in oxygen delivered through that tube. Heart rate, respiration rate, and blood oxygen saturation, as well as withdrawal reflexes, were monitored throughout the surgery to guide the concentration of isoflurane that was delivered. A heating lamp and pad were used to keep the animal’s body temperature near 38°C. Saline was administered intravenously throughout the surgery to maintain hydration.

A laparotomy was performed to expose the abdominal organs. Electrodes were secured to the gastric antrum, duodenum, costal diaphragm, and inner surface of the transversus abdominis using sutures through the silicon patch surrounding the recording leads, as shown in Figure 1. A small incision was made through the lateral edge of the gastric fundus for introduction of an 8-french intragastric pediatric feeding tube. The tube was secured in place using a purse-string silk suture and Vetbond adhesive (3M, St. Paul, MN United States). The abdominal cavity was lavaged with sterile saline prior to separately closing the abdominal muscles and skin using sutures. Connectors and leads from the electrodes and the distal end of the intragastric catheter were routed subcutaneously to the neck using a trocar. A small area of the skull was exposed, self-tapping screws were inserted, and the connectors were attached to the skull using Palacos bone cement (Heraeus Medical, Hanau, Germany).

A fentanyl transdermal patch (25 μg/h delivery) was attached to the shaved skin on one leg, which provided analgesia for 72 h. In addition, 0.3 mg/kg Meloxicam was provided subcutaneously at the end of surgery and re-administered daily upon veterinary recommendation to alleviate indicators of pain or discomfort. The long-acting antibiotic Convenia (Zoetis, New York, NY United States) was administered during surgery (8 mg/kg subcutaneously).

Following a ∼2-week post-surgical recovery period, an additional period of acclimation for restraint occurred (see Table 1) prior to commencement of data recording.

2.3 Data recording

During recording sessions, signals from the connectors for the electrodes attached to the diaphragm and abdominal muscles were led into Model 1800 AC differential amplifiers (A-M Systems, Sequim, WA United States), amplified 100 times and filtered with a bandpass of 10–10,000 Hz. Signals from the electrodes positioned on the stomach and intestine were led into Model 3000 AC/DC differential amplifiers (A-M Systems) with the high-pass filter in DC mode, and amplified 50 times. The signals were digitized and recorded at 1 kHz by a Micro1401 mk2 data collection system and Spike-2 version 7 software (Cambridge Electronic Design, Cambridge, United Kingdom). Examples of recordings are provided in Figure 2.

FIGURE 2
www.frontiersin.org

FIGURE 2. Recordings from one animal (C2-21) during a baseline trial where neither saline nor CuSO4 was administered. (A) raw EMG recordings from the abdominal musculature, diaphragm, intestine (duodenum), and stomach. (B) same recordings, smoothed with a 0.2 s time constant. (C) diaphragm and abdominal muscle activity for a shorter time period (first 10 s of traces in A) so that details of recordings are evident. The top two traces are raw EMG recordings, while the bottom two traces depict the same data smoothed with a 0.2 s time constant.

A number of recording sessions were performed to validate that recordings were stable, and in at least one of those sessions 20 mL of saline was infused into the stomach following an 12–18 h fast, while recordings from implanted electrodes were made to determine heart rate, respiration rate, and the frequency of stomach and duodenal slow wave activity. Following the collection of these baseline data, a terminal recording session occurred when a single dose of 83–332 mg of CuSO4 dissolved in 20 mL saline (see Table 2 for the dose in each animal) was infused into the stomach, through oral gavage in three cases and the intragastric tube in the other seven animals. Prior studies showed that CuSO4 doses of 83 mg reliably produce physiologic changes in felines (Sugiyama et al., 2011; Suzuki et al., 2012); larger doses were also used to determine if they elicited similar responses. Animals were fasted overnight prior to this experimental session. Oral gavage occurred in cases where the intragastric catheter became blocked prior to the final experimental session. As during the control session when saline was infused into the stomach, activity recorded from electrodes was used to determine heart rate, respiration rate, and the frequency of stomach and duodenal slow wave activity prior to and following CuSO4 administration. Stereotyped contractions of the diaphragm and abdominal musculature were used to determine the timing of emetic episodes (Yates et al., 2014). These data were employed to ascertain whether prodromal changes in physiological parameters predict an emetic episode evoked by CuSO4.

TABLE 2
www.frontiersin.org

TABLE 2. Responses of animals to CuSO4 administration.

During control recording sessions, saline was administered 10 min following the onset of the recording, so baseline physiologic parameters could be determined. Recordings continued for 60 min. A similar recording strategy was used during the final session when CuSO4 was administered. Following the conclusion of recordings in this session, animals were anesthetized by an intramuscular injection of ketamine (20 mg/kg) and acepromazine (0.2 mg/kg) followed by an intraperitoneal injection of pentobarbital sodium (40 mg/kg). Animals were then transcardially perfused with saline followed by 4% paraformaldehyde fixative. The placement of recording electrodes was evaluated by dissecting the abdominal cavity and extracting the diaphragm and GI tract for imaging.

2.4 Data analysis

Offline analysis of recordings was performed using Spike-2 version 9, MATLAB (Mathworks, Natick, MA United States), and Python (Python Software Foundation) software. As an initial step, DC drift was removed from all traces. Signals from respiratory muscles were smoothed (time constant of 0.2 s) and/or rectified for some analyses. Myoelectric signals recorded from the stomach and intestine electrodes were processed using a bandpass second order Butterworth filter with a 0.05–0.5 Hz (3–30 cycles per minute, cpm) cutoff range, and then downsampled to 10 Hz. Because the head was not restrained, some non-physiological high amplitude artifacts lasting 1–20 s were observed during head movements. These artifacts were cleaned by implementing a blanking window around the artifact period with 1 s before and after the event and replacing the blanked portion with a linearly interpolated line that spanned the window. The power spectrum for myoelectric signals was calculated by computing the fast Fourier transform (FFT, 0.014 cpm bin size). The dominant frequency was determined by finding the median frequency of a power spectral density estimate at each 1-min segment throughout the length of the signal. Statistical analyses were conducted and some figures were plotted using Prism 9 software (GraphPad software, San Diego, CA United States). Data are presented as means ± one standard deviation.

3 Results

Figure 2 shows raw and processed data recorded during a baseline run in one animal. Column A illustrates raw traces, and in Column B the same traces were smoothed (time constant of 0.2 s). Column C expands the first 10 s of respiratory muscle activity shown in column A so that details of traces are evident; the top two traces show raw activity, and the bottom two are smoothed activity (time constant of 0.2 s). Both the electrocardiogram and respiratory muscle electromyographic (EMG) activity were evident in recordings from the diaphragm and abdominal muscles, such that these traces could be used to determine both heart rate and respiration rate. In addition, slow wave activity was evident for both the stomach (frequency of ∼0.1 Hz or 6 cpm) and duodenum (frequency of ∼0.3 Hz or 18 cpm), which occurred at a different rate than respiration (frequency of ∼0.6 Hz or 36 cpm) indicating it was not an artifact related to abdominal movements during breathing. Heart rate, respiration rate, and frequency of stomach and duodenal slow wave activity are shown in Table 3, determined for each animal during a 60-min period of a baseline recording. Some physiologic parameters could not be determined in a few animals due to low-quality recordings from particular electrodes. The average baseline heart rate for all animals was 163 ± 26 beats per minute, and the average respiratory rate was 34 ± 16 breaths per minute. Slow wave activity occurred at 6 ± 1 cpm in the stomach and 20 ± 1 cpm in the duodenum.

TABLE 3
www.frontiersin.org

TABLE 3. Baseline physiological measurements for each animal. X—data not acquired.

Following the administration of CuSO4, we visually observed the animals for indications of retching and compared these observations to recordings from the electrodes. In all cases, a retching period occurred as a series of contractions that was accompanied by large voltage signals recorded from both the diaphragm and abdominal muscles, as shown in Figure 3. The left panels illustrate raw respiratory muscle EMG activity, whereas the traces are rectified and smoothed (time constant of 0.2 s) in the right panels. Respiratory-related activity of the muscles is evident prior to and following the retching period. These stereotyped responses served as markers for the onset and offset of an emetic episode.

FIGURE 3
www.frontiersin.org

FIGURE 3. Recordings of diaphragm and abdominal muscle activity during a retching episode (continuous series of retches). The left traces are raw EMG activity, whereas the recordings are rectified and smoothed (time constant of 0.2 s) in the right panels.

Table 2 indicates the responses of the animals to CuSO4 administration. All animals exhibited a retching period, and in six of ten cases infusion of CuSO4 produced a retching response within 10 min. A linear regression analysis showed no evidence that the CuSO4 dose affected the time to the first retch (p = 0.58; R2 = 0.04), the duration of the first retching episode (p = 0.48; R2 = 0.06), or the number of emetic responses that were elicited (p = 0.32; R2 = 0.12). Although numbers are small, there were also no overt differences in the emetic responses of animals of different sexes to CuSO4 administration.

Changes in heart rate, respiration rate, and the frequency of slow wave activity in the duodenum and stomach elicited by saline and CuSO4 administration in one animal (C2-21) are shown in Figure 4. Each data point indicates averaged data collected over a 1-min interval. In this animal and all others, saline administration did not elicit retching. However, within a few minutes of CuSO4 administration a retching period occurred, as denoted by a gold area and black vertical lines. Just prior to retching, a distinct increase in heart rate and frequency of intestinal slow-wave activity occurred. Heart rate then dropped at the onset of the retching episode, whereas the increased frequency of intestinal slow-wave activity was sustained throughout the retching period and a few subsequent minutes of recording. In addition, respiratory muscle activity decreased prior to retching and the frequency of stomach slow wave activity increased, although the baselines were less stable than for heart rate and intestinal slow wave activity, so these responses are less evident.

FIGURE 4
www.frontiersin.org

FIGURE 4. Changes in heart rate (A), respiration rate (B), and the frequency of slow wave activity in the duodenum (C) and stomach (D) elicited by saline (left column) and CuSO4 (right column) administration in one animal. Each data point indicates averaged data over a 1-s period. The vertical blue line in the left column denotes the time of saline administration, whereas the vertical red line in the right column shows when CuSO4 was provided. The time period when retching occurred following CuSO4 administration is designated by gold shading and black vertical lines.

To enhance visualization of changes in the frequency of stomach and duodenal muscle slow-wave activity, 1-min averages of data were also displayed as spectrograms generated using MATLAB, as illustrated in Figure 5. Data for the same animal are provided in Figures 4, 5, with a longer time period depicted in Figure 5. These spectrograms indicate that little change in slow wave activity occurred following intragastric saline administration, but a prominent change in duodenal slow wave activity commenced before and extended through the first retching period (indicted by vertical black lines). Alterations in stomach slow wave activity are also evident but are less prominent due to variability in the baseline. A second period of retching occurred approximately 30 min following the first episode (designated by a second group of black bars) but was not accompanied by appreciable changes in the frequency of slow wave activity recorded from the stomach or duodenum.

FIGURE 5
www.frontiersin.org

FIGURE 5. Spectrograms of duodenal and stomach slow-wave activity following administration of saline (left column) and CuSO4 (right column). Yellow represents the dominant frequency and blue the least dominant (scale of normalized signal power, 0–1). As in Figure 4, the blue vertical line indicates saline administration, the red vertical line designates CuSO4 administration, and the black vertical lines show when retching occurred.

Figure 6 compares average heart rate, respiration rate, and the span of normal intestinal and stomach slow-wave activity (normogastric activity) during the baseline period (10-min period prior to CuSO4 administration), and the 10-min period during which the first retching episode occurred. As in our previous study (Nanivadekar et al., 2019), normogastric activity was defined by establishing a 99% confidence interval of EMG activity during the baseline period. Average EMG activity during each minute of both the baseline and retching periods was classified as normogastric (within the confidence interval), tachygastric (above the confidence interval), or bradygastric (below the confidence interval). As indicated in Table 2, six of the animals retched within 10 min of CuSO4 administration. For these animals, whose data are indicated in green in Figure 6, the retching period was defined as the 10-min epoch immediately following CuSO4 delivery. In the four animals with delayed retching responses, whose data are indicated in red in Figure 6, the retching period was defined as the 10-min epoch preceding the final retch of the initial emetic response. Due to deterioration of recordings from some electrodes over time, data are missing from some animals. Heart rate could be determined for every animal, whereas respiration rate and intestinal EMG activity was evident in seven animals, and stomach EMG activity in six animals. Two-tailed paired t-tests were used to compare physiologic parameters in the baseline and retching periods; p values are provided above each panel.

FIGURE 6
www.frontiersin.org

FIGURE 6. Effects of CuSO4 administration on physiologic parameters associated with the first retching episode. Each data point represents an average of data over 10 min during the baseline (prior to CuSO4 administration) or retching periods. For the six animals that retched within 10 min of providing CuSO4 (data indicated by green lines and symbols), the retching period was defined as the 10 min following CuSO4 administration. For the four animals where retching occurred at longer latency (data indicated by red lines and symbols), the retching period was defined as the 10 min prior to the final retch of the initial episode. p values above each panel are for comparisons between each physiologic parameter during the baseline and retching periods (two-tailed paired t-test).

CuSO4 administration produced a significant increase in heart rate (p = 0.0001) and a decrease in respiratory activity (p = 0.024). Heart rate increased by an average of 19 ± 11%, and respiratory activity decreased by an average of 11 ± 11%. Both intestinal and stomach EMG activity were significantly disrupted (less time spent in normogastria) by CuSO4: intestinal normogastric activity decreased by 73 ± 34% (p = 0.0015), whereas stomach normogastric activity decreased by 38 ± 16% (p = 0.0029). The disruption in intestinal EMG activity was particularly striking in the five animals where baseline activity was stable (normogastric ≥40% of the baseline period). In these cases, intestinal normogastric activity decreased by 86 ± 19% following CuSO4 administration.

A similar analysis was conducted for intragastric saline administration to the animals. Since saline did not evoke retching in any of the animals, the effects of saline on physiologic parameters were determined during the epoch defined as the retching period following CuSO4 administration. A two-tailed paired t-test showed no effects of saline administration on heart rate (p = 0.63), respiration rate (p = 0.83), or disruption of normogastric intestinal (p = 0.61) or stomach (p = 0.60) activity.

4 Discussion

This study incorporated extensive monitoring of physiologic parameters in an alert animal model during the administration of an agent that produces rapid emetic events, allowing the analysis of prodromal physiologic changes that precede vomiting. The frequency of baseline GI myoelectric activity noted in this study is similar to that documented in prior experiments (Connor, 1979; Roche et al., 1982; Lang, 1999). CuSO4 infusion elicited a significant increase in heart rate, decrease in respiratory rate, and a disruption of gastric and intestinal EMG activity several minutes prior to emesis. The most striking and consistent prodromal physiologic changes were an increase in heart rate and a reduction of time that duodenal activity was normogastric. In contrast to the prevailing focus of work showing changes in the gastric EMG signals after emetic stimulation (Koch et al., 1990; Uijtdehaage et al., 1992; Kiernan et al., 1997; Parkman et al., 2003), our work shows that EMG activity changes were most consistent in the duodenum. It is postulated that intestinal EMG activity was related to a retrograde movement of chyme from the intestine to the stomach, which could be associated with the prodromal retrograde contractions reported after emetic treatments (Lang, 1999; Ueno and Chen, 2004; Koch, 2014; Heyer et al., 2018).

A low dose of 83 mg CuSO4 was used in this study, as this has been a standard dose in prior experiments (Sugiyama et al., 2011; Suzuki et al., 2012), and reliably produced emesis in this study. Although threshold doses of CuSO4 for producing nausea and retching have not been established in humans, a literature review suggested that a dose as low as 15 mg could produce gastric distress (Franchitto et al., 2008). Higher doses were also used to ascertain whether they elicited different responses than lower doses. Increasing the dose of CuSO4 did not appear to alter the physiologic effects of the treatment or the length of time between the administration of the agent and the first retching event. For example, 83 mg doses produced retching in 6–14 min, whereas 332 mg doses produced retching in 4–33 min. These findings suggest considerable individual variability in gastric responsiveness to CuSO4.

Administration of 20 mL saline in a preceding recording session (on a different day) did not induce similar physiologic changes as CuSO4, indicating that they were not induced by a distension of the stomach with fluid. Systematic changes in heart rate and disruption of GI myoelectric activity only occurred within a short period preceding and during emesis (see Figure 4). These observations suggest that the changes in heart rate and GI myoelectric activity observed in the study were related to nausea, and not non-specific actions of CuSO4 such as irritation of the stomach lining.

Several caveats and limitations of the current study should be noted. First, in some cases we were not able to administer CuSO4 through the implanted gastric tube, and instead gavaged CuSO4 solution. Although the physiologic effects in these animals were similar to those in animals that received the agent intragastrically (see Table 2), it is possible that the distribution of CuSO4 in the stomach differed between the routes of administration. Moreover, in general there was variability of stomach geometry and placement of the tip of the delivery tube in the gastric compartment; therefore, it is difficult to determine the specific chemical placement and timing of movement of the emetic agent along the GI tract. In addition, we also did not attempt to replicate the CuSO4 tests within each animal because CuSO4 is known to damage the GI mucosal surface (Chuttani et al., 1965; James et al., 1999; Nastoulis et al., 2017).

This issue of testing repeatability is likely important to translate these findings for potential clinical application. Although acute emesis (and nausea) can be controlled by administration of currently available antiemetics, such as 5-HT3 and NK-1 receptor antagonists, the chronic nausea and vomiting that occurs in GI disease is more difficult to control (Hasler et al., 2017; Lacy et al., 2018). Potentially, these chronic clinical conditions could be modeled with a repeated testing paradigm using pre-clinical models. Importantly, this work also needs to be extended to include other emetic stimuli, acting on non-vagal pathways, including motion and those that activate area postrema. Nonetheless, the current findings provide a blueprint for these future studies by highlighting the importance of monitoring intestinal EMG activity. It is also possible that a machine learning paradigm that incorporates changes in heart rate and disruption of intestinal myoelectric activity would provide a particularly effective method of predicting the onset of emesis.

Data availability statement

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

Ethics statement

The animal study was reviewed and approved by the University of Pittsburgh Institutional Animal Care and Use Committee.

Author contributions

Animal surgeries and data collection: CM, JS, PA, ND, JB, JS, CH, and BY. Data analysis: CM, JS, PA, ND, JB, JS, CH, and BY. Manuscript preparation: CM, JS, CH, and BY.

Funding

This study was supported by the NIH grants R01-DC018229 and R01-DK121703.

Acknowledgments

The authors thank Brandon King, Henry Ramos Acosta, and Robert Khorami for their assistance with data collection and analysis. A preliminary report of these findings has been published on the bioRxiv preprint server and as a poster presentation at the 2022 Experimental Biology meeting in Philadelphia, PA.

Conflict of interest

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

Publisher’s note

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

References

Ando H., Mochiki E., Ohno T., Yanai M., Toyomasu Y., Ogata K., et al. (2014). Mechanism of gastrointestinal abnormal motor activity induced by cisplatin in conscious dogs. World J. Gastroenterol. 20 (42), 15691–15702. doi:10.3748/wjg.v20.i42.15691

PubMed Abstract | CrossRef Full Text | Google Scholar

Araya M., McGoldrick M. C., Klevay L. M., Strain J. J., Robson P., Nielsen F., et al. (2001). Determination of an acute no-observed-adverse-effect level (NOAEL) for copper in water. Regul. Toxicol. Pharmacol. 34 (2), 137–145. doi:10.1006/rtph.2001.1492

PubMed Abstract | CrossRef Full Text | Google Scholar

Bielanin J. P., Douglas N. O., Shulgach J. A., McCall A. A., Miller D. M., Amin P. R., et al. (2020). Responses of neurons in the medullary lateral tegmental field and nucleus tractus solitarius to vestibular stimuli in conscious felines. Front. Neurol. 11 (1755), 620817. doi:10.3389/fneur.2020.620817

PubMed Abstract | CrossRef Full Text | Google Scholar

Brizzee K. R., Marshall K. R. (1960). Developmental studies on emetic response to tartar emetic and copper sulfate in the cat. Proc. Soc. Exp. Biol. Med. 103, 839–842. doi:10.3181/00379727-103-25690

PubMed Abstract | CrossRef Full Text | Google Scholar

Carson D. A., Bhat S., Hayes T. C. L., Gharibans A. A., Andrews C. N., O'Grady G., et al. (2022). Abnormalities on electrogastrography in nausea and vomiting syndromes: A systematic review, meta-analysis, and comparison to other gastric disorders. Dig. Dis. Sci. 67 (3), 773–785. doi:10.1007/s10620-021-07026-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Chey R. D., Lee K. Y., Asbury R., Chey W. Y. (1988). Effect of cisplatin on myoelectric activity of the stomach and small intestine in dogs. Dig. Dis. Sci. 33 (3), 338–344. doi:10.1007/BF01535760

PubMed Abstract | CrossRef Full Text | Google Scholar

Chuttani H. K., Gupta P. S., Gulati S., Gupta D. N. (1965). Acute copper sulfate poisoning. Am. J. Med. 39 (5), 849–854. doi:10.1016/0002-9343(65)90105-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Connor J. A. (1979). On exploring the basis for slow potential oscillations in the mammalian stomach and intestine. J. Exp. Biol. 81, 153–173. doi:10.1242/jeb.81.1.153

PubMed Abstract | CrossRef Full Text | Google Scholar

Franchitto N., Gandia-Mailly P., Georges B., Galinier A., Telmon N., Ducasse J. L., et al. (2008). Acute copper sulphate poisoning: a case report and literature review. Resuscitation 78 (1), 92–96. doi:10.1016/j.resuscitation.2008.02.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Golding J. F., Gresty M. A. (2015). Pathophysiology and treatment of motion sickness. Curr. Opin. Neurol. 28 (1), 83–88. doi:10.1097/WCO.0000000000000163

PubMed Abstract | CrossRef Full Text | Google Scholar

Grelot L., Miller A. (1994). Vomiting - its ins and outs. News Physiol. Sci. 9 (3), 142–147. doi:10.1152/physiologyonline.1994.9.3.142

CrossRef Full Text | Google Scholar

Hasler W. L., Li B. U., Koch K. L., Parkman H. P., Kovacic K., McCallum R. W. (2017). Methodologic considerations for studies of chronic nausea and vomiting in adults and children. Auton. Neurosci. 202, 28–39. doi:10.1016/j.autneu.2016.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Heyer G. L., Boles L. H., Harvey R. A., Cismowski M. J. (2018). Gastric myoelectrical and neurohormonal changes associated with nausea during tilt-induced syncope. Neurogastroenterol. Motil. 30 (3), e13220. doi:10.1111/nmo.13220

PubMed Abstract | CrossRef Full Text | Google Scholar

Hickman M. A., Cox S. R., Mahabir S., Miskell C., Lin J., Bunger A., et al. (2008). Safety, pharmacokinetics and use of the novel NK-1 receptor antagonist maropitant (Cerenia) for the prevention of emesis and motion sickness in cats. J. Vet. Pharmacol. Ther. 31 (3), 220–229. doi:10.1111/j.1365-2885.2008.00952.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Himi N., Koga T., Nakamura E., Kobashi M., Yamane M., Tsujioka K. (2004). Differences in autonomic responses between subjects with and without nausea while watching an irregularly oscillating video. Auton. Neurosci. 116 (1-2), 46–53. doi:10.1016/j.autneu.2004.08.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Horn C. C., Meyers K., Lim A., Dye M., Pak D., Rinaman L., et al. (2014). Delineation of vagal emetic pathways: intragastric copper sulfate-induced emesis and viral tract tracing in musk shrews. Am. J. Physiol. Regul. Integr. Comp. Physiol. 306 (5), R341–R351. doi:10.1152/ajpregu.00413.2013

PubMed Abstract | CrossRef Full Text | Google Scholar

James L. P., Stowe C. D., Argao E. (1999). Gastric injury following copper sulfate ingestion. Pediatr. Emerg. Care 15 (6), 429–431. doi:10.1097/00006565-199912000-00017

PubMed Abstract | CrossRef Full Text | Google Scholar

Kiernan B. D., Soykan I., Lin Z., Dale A., McCallum R. W. (1997). A new nausea model in humans produces mild nausea without electrogastrogram and vasopressin changes. Neurogastroenterol. Motil. 9 (4), 257–263. doi:10.1046/j.1365-2982.1997.d01-61.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim J., Napadow V., Kuo B., Barbieri R. (2011). A combined HRV-fMRI approach to assess cortical control of cardiovagal modulation by motion sickness. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 2011, 2825–2828. doi:10.1109/IEMBS.2011.6090781

PubMed Abstract | CrossRef Full Text | Google Scholar

Koch K. L., Stern R. M., Vasey M. W., Seaton J. F., Demers L. M., Harrison T. S. (1990). Neuroendocrine and gastric myoelectrical responses to illusory self-motion in humans. Am. J. Physiol. 258, E304–E310. doi:10.1152/ajpendo.1990.258.2.E304

PubMed Abstract | CrossRef Full Text | Google Scholar

Koch K. L., Hasler W. L., Yates K. P., Parkman H. P., Pasricha P. J., Calles-Escandon J., et al. (2016). Baseline features and differences in 48 week clinical outcomes in patients with gastroparesis and type 1 vs type 2 diabetes. Neurogastroenterol. Motil. 28 (7), 1001–1015. doi:10.1111/nmo.12800

PubMed Abstract | CrossRef Full Text | Google Scholar

Koch K. L. (2014). Gastric dysrhythmias: a potential objective measure of nausea. Exp. Brain Res. 232 (8), 2553–2561. doi:10.1007/s00221-014-4007-9

PubMed Abstract | CrossRef Full Text | Google Scholar

LaCount L. T., Barbieri R., Park K., Kim J., Brown E. N., Kuo B., et al. (2011). Static and dynamic autonomic response with increasing nausea perception. Aviat. Space Environ. Med. 82 (4), 424–433. doi:10.3357/asem.2932.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Lacy B. E., Parkman H. P., Camilleri M. (2018). Chronic nausea and vomiting: evaluation and treatment. Am. J. Gastroenterol. 113 (5), 647–659. doi:10.1038/s41395-018-0039-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Lang I. M. (1999). Noxious stimulation of emesis. Dig. Dis. Sci. 44, 58S–63S.

PubMed Abstract | Google Scholar

Lee K. Y., Park H. J., Chey W. Y. (1985). Studies on mechanism of retching and vomiting in dogs. Effect of peripheral dopamine blocker on myoelectric changes in antrum and upper small intestine. Dig. Dis. Sci. 30 (1), 22–28. doi:10.1007/BF01318366

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu Z., Ngan M. P., Lin G., Yew D. T. W., Fan X., Andrews P. L. R., et al. (2017). Gastric myoelectric activity during cisplatin-induced acute and delayed emesis reveals a temporal impairment of slow waves in ferrets: effects not reversed by the GLP-1 receptor antagonist, exendin (9-39). Oncotarget 8 (58), 98691–98707. doi:10.18632/oncotarget.21859

PubMed Abstract | CrossRef Full Text | Google Scholar

Makale M. T., King G. L. (1992). Surgical and pharmacological dissociation of cardiovascular and emetic responses to intragastric CuSO4. Am. J. Physiol. 263, R284–R291. doi:10.1152/ajpregu.1992.263.2.R284

PubMed Abstract | CrossRef Full Text | Google Scholar

Miller D. M., Joshi A., Kambouroglos E. T., Engstrom I. C., Bielanin J. P., Wittman S. R., et al. (2020). Responses of neurons in the rostral ventrolateral medulla of conscious cats to anticipated and passive movements. Am. J. Physiol. Regul. Integr. Comp. Physiol. 318 (3), R481–R492. doi:10.1152/ajpregu.00205.2019

PubMed Abstract | CrossRef Full Text | Google Scholar

Morrow G. R., Andrews P. L., Hickok J. T., Stern R. (2000). Vagal changes following cancer chemotherapy: implications for the development of nausea. Psychophysiology 37 (3), 378–384. doi:10.1111/1469-8986.3730378

PubMed Abstract | CrossRef Full Text | Google Scholar

Murphey C. P., Shulgach J. A., Amin P. R., Douglas N. K., Bielanin J. P., Sampson J. P., et al. (2022). Physiological changes associated with copper sulfate-induced emesis in felines. bioRxiv. doi:10.1101/2022.10.20.512908

CrossRef Full Text | Google Scholar

Nanivadekar A. C., Miller D. M., Fulton S., Wong L., Ogren J., Chitnis G., et al. (2019). Machine learning prediction of emesis and gastrointestinal state in ferrets. PLoS One 14 (10), e0223279. doi:10.1371/journal.pone.0223279

PubMed Abstract | CrossRef Full Text | Google Scholar

Nastoulis E., Karakasi M. V., Couvaris C. M., Kapetanakis S., Fiska A., Pavlidis P. (2017). Greenish-blue gastric content: Literature review and case report on acute copper sulphate poisoning. Forensic Sci. Rev. 29 (1), 77–91.

PubMed Abstract | Google Scholar

National Research Council (2011). Guide for the Care and use of laboratory animals. Eighth Edition. Washington, D.C.: National Academy Press.

Google Scholar

Parkman H. P., Hasler W. L., Barnett J. L., Eaker E. Y.American Motility Society Clinical GI Motility Testing Task Force (2003). Electrogastrography: a document prepared by the gastric section of the American motility society clinical GI motility testing task force. Neurogastroenterol. Motil. 15 (2), 89–102. doi:10.1046/j.1365-2982.2003.00396.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Patel N. M., Baker E. A. G., Wittman S. R., Engstrom I. C., Bourdages G. H., McCall A. A., et al. (2018). Cardiovascular adjustments during anticipated postural changes. Physiol. Rep. 6 (1), e13554. doi:10.14814/phy2.13554

PubMed Abstract | CrossRef Full Text | Google Scholar

Piechotta V., Adams A., Haque M., Scheckel B., Kreuzberger N., Monsef I., et al. (2021). Antiemetics for adults for prevention of nausea and vomiting caused by moderately or highly emetogenic chemotherapy: a network meta-analysis. Cochrane Database Syst. Rev. 11, CD012775. doi:10.1002/14651858.CD012775.pub2

PubMed Abstract | CrossRef Full Text | Google Scholar

Pizarro F., Olivares M., Uauy R., Contreras P., Rebelo A., Gidi V. (1999). Acute gastrointestinal effects of graded levels of copper in drinking water. Environ. Health Perspect. 107 (2), 117–121. doi:10.1289/ehp.99107117

PubMed Abstract | CrossRef Full Text | Google Scholar

Roche M., Bueno L., Vagne M., Blourde C. (1982). Patterns of electrical activity in the digestive tract of the conscious cat. Br. J. Nutr. 48 (1), 129–135. doi:10.1079/bjn19820095

PubMed Abstract | CrossRef Full Text | Google Scholar

Shulgach J. A., Beam D. W., Nanivadekar A. C., Miller D. M., Fulton S., Sciullo M., et al. (2021). Selective stimulation of the ferret abdominal vagus nerve with multi-contact nerve cuff electrodes. Sci. Rep. 11 (1), 12925. doi:10.1038/s41598-021-91900-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Stewart J. J., Burks T. F., Weisbrodt N. W. (1977). Intestinal myoelectric activity after activation of central emetic mechanism. Am. J. Physiol. 233 (3), E131–E137. doi:10.1152/ajpendo.1977.233.3.E131

PubMed Abstract | CrossRef Full Text | Google Scholar

Sugiyama Y., Suzuki T., DeStefino V. J., Yates B. J. (2011). Integrative responses of neurons in nucleus tractus solitarius to visceral afferent stimulation and vestibular stimulation in vertical planes. Am. J. Physiol. Regul. Integr. Comp. Physiol. 301 (5), R1380–R1390. doi:10.1152/ajpregu.00361.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Suzuki T., Sugiyama Y., Yates B. J. (2012). Integrative responses of neurons in parabrachial nuclei to a nauseogenic gastrointestinal stimulus and vestibular stimulation in vertical planes. Am. J. Physiol. Regul. Integr. Comp. Physiol. 302 (8), R965–R975. doi:10.1152/ajpregu.00680.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Ueno T., Chen J. D. (2004). Vomiting and gastric electrical dysrhythmia in dogs. Scand. J. Gastroenterol. 39 (4), 344–352. doi:10.1080/00365520310008601

PubMed Abstract | CrossRef Full Text | Google Scholar

Uijtdehaage S. H., Stern R. M., Koch K. L. (1992). Effects of eating on vection-induced motion sickness, cardiac vagal tone, and gastric myoelectric activity. Psychophysiology 29 (2), 193–201. doi:10.1111/j.1469-8986.1992.tb01685.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang S. C., Borison H. L. (1951). Copper sulphate emesis; a study of afferent pathways from the gastrointestinal tract. Am. J. Physiol. 164 (2), 520–526. doi:10.1152/ajplegacy.1951.164.2.520

PubMed Abstract | CrossRef Full Text | Google Scholar

Weibel S., Schaefer M. S., Raj D., Rucker G., Pace N. L., Schlesinger T., et al. (2021). Drugs for preventing postoperative nausea and vomiting in adults after general anaesthesia: an abridged cochrane network meta-analysis. Anaesthesia 76 (7), 962–973. doi:10.1111/anae.15295

PubMed Abstract | CrossRef Full Text | Google Scholar

Yates B. J., Catanzaro M. F., Miller D. J., McCall A. A. (2014). Integration of vestibular and emetic gastrointestinal signals that produce nausea and vomiting: Potential contributions to motion sickness. Exp. Brain Res. 232 (8), 2455–2469. doi:10.1007/s00221-014-3937-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: nausea, vomiting, gastric electromyogram, copper sulfate, respiratory activity detection, heart rate

Citation: Murphey CP, Shulgach JA, Amin PR, Douglas NK, Bielanin JP, Sampson JT, Horn CC and Yates BJ (2023) Physiological changes associated with copper sulfate-induced nausea and retching in felines. Front. Physiol. 14:1077207. doi: 10.3389/fphys.2023.1077207

Received: 22 October 2022; Accepted: 11 January 2023;
Published: 19 January 2023.

Edited by:

Satoshi Iwase, Aichi Medical University, Japan

Reviewed by:

Thomas Schermerhorn, Kansas State University, United States
Louiza Belkacemi, Oregon Health and Science University, United States

Copyright © 2023 Murphey, Shulgach, Amin, Douglas, Bielanin, Sampson, Horn and Yates. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Bill J. Yates, byates@pitt.edu

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