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The effect of subdiaphragmatic vagotomy on heart rate variability and lung inflammation in rats with severe hemorrhagic shock

BMC Cardiovascular Disorders volume 22, Article number: 181 (2022) Cite this article

Abstract

Background

The influence of cutting the sub-diaphragmatic branch of the vagus nerve on heart rate variability (HRV) and inflammatory reaction to severe hemorrhagic shock has not been determined prior to this study.

Methods

Male Sprague–Dawley rats were divided into four groups of Sham, sub-diaphragmatic vagotomized (Vag), subacute (135 ± 2 min) hemorrhagic shock (SHS), and sub-diaphragmatic vagotomized with SHS (Vag + SHS). Hemodynamic parameters were recorded and HRV calculated during multiple phases in a conscious model of hemorrhagic shock. The expressions of TNF-α and iNOS were measured in the spleen and lung tissues at the conclusion of the protocol.

Results

Decreases in blood pressure during blood withdrawal were identical in the SHS and Vag + SHS groups. However, heart rate only decreased in the Nadir-1 phase of the SHS group. HRV indicated increased power in the very-low, low, and high (VLF, LF, and HF) frequency bands during the Nadir-1 phase of the SHS and Vag + SHS groups, albeit the values were higher in the SHS group. In the recovery phase, the HF bands were only lower in the SHS group. After hemorrhagic shock followed by resuscitation, the expression of TNF-α and iNOS increased in the spleen and lung of the SHS group, and the expression of these genes was significantly lower in the Vag + SHS group than in the SHS group.

Conclusion

Parasympathetic activity increases during the hypotensive phase of hemorrhagic shock, whereas the cardiac vagal tone decreases in the recovery phase. Sub-diapragmatic vagotomy blunts the cardiac vagal tone during hemorrhagic shock, but its effect is reversed in the recovery phase. The vagus nerve plays a role in proinflammatory responses in the lungs and spleen in subacute hemorrhagic shock followed by resuscitation.

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Background

Hemorrhagic shock is one of the common causes of death in the world [1]. Depending on the amount of blood loss, hemorrhagic shock is categorized into four classes [2,3,4]. Hemorrhagic shock is reversible in class I and II, but delay in diagnosis and/or treatment initiation can lead to the progression of shock into class III and IV [5, 6]. Both class III and IV have been considered severe hemorrhage [7]; in these classes, unlike the early classes, fluid replacement therapy may not be useful, and in fact may lead to systemic inflammatory reactions, and serious organ damage [8, 9]. This is why early diagnosis of the presence and stage of shock is so important to prevent a catastrophic outcome [10, 11]. Since immediately upon the initiation of hemorrhage, hormonal and neural compensatory mechanisms are activated [12, 13], the question remains whether or not the evaluation of neural activity could be beneficial in assessing the level, severity, and outcome of patients with hemorrhagic shock. The activity of the autonomic nervous system can be evaluated by heart rate variability analysis (HRV) [14]. Inter-beat interval can be extracted from electrocardiogram or pulsatile blood pressure recording as time interval between consecutive heartbeats [15]. A few previous studies have shown that HRV can estimate the autonomic nervous system activity in hemorrhagic shock [16]. Furthermore, HRV has been investigated in three phases of class II hemorrhagic shock in a recent study [17]. Nevertheless, HRV and altered autonomic nerve activity has not been fully elucidated in different phases of severe hemorrhagic shock.

The vagus nerve is the chief parasympathetic branch of the autonomic nervous system which may play a role in the inflammatory reactions through a cholinergic anti-inflammatory reflex arc [18]. Spleen has been suggested to be involved in the noted reflex [19]. However, the spleen is innervated by the sympathetic rather than the parasympathetic nervous system. It has been established that the sympathetic nerve fibers of the spleen are stimulated by the vagus nerve [20]. Then, norepinephrine released from the sympathetic nerve fibers triggers release of acetylcholine (ACh) by resident T cells in the spleen. Consequently, ACh inhibits cytokines’ production by the macrophages through α7 nicotinic receptors [21, 22]. However, little attention has been devoted to the role of the vagus nerve in inflammatory reactions induced by hemorrhagic shock thus far. Also, the role of the spleen in the above conditions has not been fully clarified.

One of the most vulnerable organs during hemorrhagic shock is the lung. This organ is adversely affected by inflammatory mediators released from damaged tissue [23]. Animal studies have shown increases of tumor necrosis factor-α (TNF-α), nuclear factor-kappa β (NF-κβ), inducible nitric oxide synthase (iNOS), cyclooxygenase 2 (COX-2), and malondialdehyde (MDA) in the lung tissue during hemorrhagic shock [24]. Also, the high prevalence of lung injury has been reported in patients with hemorrhagic shock [25]. However, although the relationship between HRV, systemic hemodynamics, metabolic status, and inflammation have been expressed in different pathological conditions [26,27,28], little has been addressed about the noted relations with or without investigating the role of the vagus nerve in hemorrhagic shock.

Based on the above background, the aim of this study was to investigate HRV, hemodynamic alterations, metabolic status, and the expression of inflammatory cytokines in the spleen and lung in subacute hemorrhagic shock. Furthermore, it has been observed that stimulating the sub-diaphragmatic vagus nerve has less undesirable side-effects as compared to the cervical vagus nerve [29]. So, to avoid off-target cardiorespiratory events after cervical vagotomy, the left sub-diaphragmatic vagus nerve has been cut in the present study. This branch of the vagus nerve is closer to the spleen. This study was performed in conscious rats in order to extrapolate the results to trauma patients with hemorrhagic shock without the interfering effects of anesthetic drugs on the autonomic nervous system activity, respiratory system, or HRV analysis.

Methods

Study design

All experimental procedures were approved by the Center for Comparative and Experimental Medicine and the Ethical Committee of Animal Care of Shiraz University of Medical Sciences, Shiraz, Iran (No: IR.SUMS.MED.REC.1396.S203). Animals (male Sprague-Dawley rats weighing 250-300g) were housed with a 12 hours light/dark cycle in controlled temperature (22 ± 2 °C) and humidity of 40–50% before starting the experiments. They had free access to water and standard food.

Experimental procedures are summarized in Figure 1. A total of 25 rats were divided into four groups of Sham (n = 5), subdiaphragmatic vagotomized (Vag, n = 5), subacute hemorrhagic shock (SHS, n = 7), and sub-diaphragmatic vagotomized with SHS (Vag+SHS, n = 8). Based on a survey of similar studies [30, 31] we conducted a post hoc estimate of our power to detect a robust effect (d ≥1.43). Given the N in all groups, we estimate we have 0.95 power to detect effects of this size and we maintain power of 0.8 to detect effects as small as d = 0.83. Animals were anesthetized by intraperitoneal injection of 50 mg/kg sodium pentobarbital (Sigma, Germany). The catheters were inserted into the femoral vein (120-PE) and tail artery (50 PE), and fixed firmly. These catheters had been filled with heparinized saline solution (20 units/ml). The free end of the vein catheter was tunneled to exit at the base of the tail and fixed, as in the previous study [17]. In the vagotomized groups, the left sub-diaphragmatic vagus nerves were dissected. In the Sham group, animals underwent the arterial and venous cannulations and abdominal laparotomy, whereas, the vagus nerve remained intact. The areas of surgeries were then rinsed by 1% lidocaine (Sigma, Germany) to minimize the postoperative pain in all animals. The conscious animals were transferred to an optimized dark metabolic cage (MR Plexi), and their tails were fixed outside the cage so that animals could relatively move in a cage without interrupting the hemodynamic recording. The arterial catheter was connected through a pressure transducer (MLT844) to a data acquisition system (Powerlab, PL26T04, AD instruments, Australia). The arterial blood pressure (AP) was recorded throughout the experiment at 1 kHz. After data acquisition, the AP data were downsampled to 500 Hz. The catheter of the femoral vein was used for blood sampling and blood withdrawal during induction of hemorrhagic shock [17].

Fig. 1
figure 1

Schedule of the experimental procedures in the Sham, subacute hemorrhagic shock (SHS), vagotomized (Vag), and Vag + SHS (D) groups. SS: steady state period; In-Com: initial compensatory phase; De-Com: decompensatory phase; ABG: arterial blood gas analyzing

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Sub-diaphragmatic vagotomy

After anesthesia and cannulations of the tail artery and femoral vein, an incision was made in the abdominal skin of vagotomized groups. The fascia and muscles were dissected, and the left subdiaphragmatic vagus nerve separated from the surrounding tissues and dissected. Then, muscles and skin were sutured and the surgical areas were rinsed with 1% lidocaine [17, 32].

Study protocol: induction of hemorrhagic shock

Seventy minutes after the surgeries, 100 µl of the arterial blood samples were taken for blood gas analysis and animals received an intravenous bolus injection of heparin (100 units/kg). Then, the SHS and Vag+SHS groups were subjected to hemorrhagic shock by blood withdrawal through the femoral vein according to the protocols of previous studies and our pilot experiments [10, 17]. Briefly, blood withdrawal was performed with a flow rate of 0.5 ml/min until reaching the mean arterial blood pressure (MAP) to 35 ± 2 mm Hg. Unlike the previous study, where blood withdrawal was stopped and MAP was allowed to return toward the basal values [17], in this study the blood withdrawal was continued with the flow rate of 0.25 ml/min to maintain the MAP at the noted level. This phase was called Nadir-1 and lasted about 30 min. Meanwhile, the heparinized collected blood was kept in ice and filtered before returning to the animals. Once the compensatory mechanisms of animals failed to keep the MAP in the range of 35 ± 2 mm Hg, blood withdrawal was stopped and very low volumes of the heparinized and filtered blood injected constantly to maintain the MAP in the hemorrhagic shock level. An animal’s Total blood volume was estimated by use of the following formula: total blood volume (ml) = 0.06 × body weight (g) + 0.77 [33]. Then, the percentage of blood loss was calculated afterward. This phase was called Nadir-2, in which 50% of the withdrawn blood was returned to the animals, and it lasted about 105 min. Next, the resuscitation was performed by the transfusions of the remainder of the blood (50% of collected blood) with the same amount of Lactated Ringer’s solution within 10 min which followed by 20 min of recording during the recovery phase. After that, the arterial blood samples were taken for blood gas analysis, and 1 ml of the venous blood sample taken to evaluate the plasma lactate level. Finally, animals were euthanized with sodium pentobarbital (150 mg/kg, i.v.), and their lungs removed for molecular analysis. In the Sham and Vag groups, the time course of experiments was as long as the hemorrhagic groups. Nevertheless, these groups were not subjected to hemorrhagic shock (Fig. 1). Figure 2 indicates real traces of blood pressure and heart rate recorded by the Power Lab system in four animals that were representative of each experimental groups. In this figure, six time periods including steady state, Initial compensatory or In-Com (the interval that blood pressure does not change despite blood withdrawal), De-compensatory or De-Com (the period of time that blood pressure drops suddenly following a critical blood loss), Nadir 1, Nadir 2 and recovery were shown.

Fig. 2
figure 2

Real traces of blood pressure (BP) and heart rate (HR) recorded by Power Lab system in the Sham (A), Vag (B), SHS (C), and Vag + SHS (D) groups. I: Steady State, II: Initial Compensatory, III: De-Compensatory phase, IV: Nadir-1, V: Nadir-2, and VI: Recovery. The time courses of all records are identical

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HRV analysis

Three frequency bands of HRV were considered in this study. Kubios HRV premium/animal software (ver. 3.2) was used for HRV analysis. The pulse intervals of systolic blood pressures were exported from the Power lab to Kubios software, where it was analyzed following the latest guidelines for HRV analysis [34]. Prior to spectrum estimation, the pulse interval data were interpolated using 10 Hz cubic spline interpolation. Welch's periodogram with the Hanning window (window width of 512 samples and 50% overlap) was used for spectral estimation. Very low frequency (VLF: 0 to 0.2 Hz), low frequency (LF: 0.20 to 0.75 Hz) and high frequency (HF: 0.75 to 3.0 Hz) [35, 36] magnitudes were displayed on a logarithmic scale (Log(ms2)). We analyzed data during the steady-state period, Nadir-1, and recovery. The durations of calculations in the steady state, Nadir-1 and recovery phases were 5, 30 and 20 min, respectively. VLF is included for relation to renin-angiotensin system activity [37] and metabolic regulatory mechanisms [27]. LF is used for the evaluations of the sympathetic and parasympathetic activities [38] and HF is an indicator of the parasympathetic activity [39].

Calculation of shock index

We used the shock index (SI) by calculating the ratio of heart rate to systolic blood pressure in order to approximate the hemodynamic status of the animals in the experimental groups. The elevation of SI indicates the fall in left ventricular end-diastolic pressure and blood volume during hemorrhagic shock [40].

Arterial blood gas parameters

The 100 µl of blood samples were taken during the baseline period and at the end of the experiments for the blood gas analysis using an easy blood gas analyzer (Medica, USA).

Measurement of plasma parameters

At the end of the examinations, 1 ml of the venous blood sample was taken and centrifuged. The plasma was stored at − 80 °C. Plasma lactate was measured using an auto-analyzer with commercial reagent (Selectra, China).

Real-time PCR analysis

TNF-α and iNOS gene expression were assayed by real-time polymerase chain reaction (PCR). Total RNA of the lung and spleen tissues was extracted by RNA extraction kit TriSolution plus Reagent (GeneMark, Atlanta, GA) according to the manufacturer’s instructions. The quantity and purity of RNA were checked by spectrometer NanoDrop TM (NanodropTM, Thermo Fisher Scientific, Wilmington, DE, USA). Then, RNA was stored at − 80 °C until cDNA synthesis. For cDNA synthesis, 2000 ng of RNA was used according to the instructions in the cDNA Fermentas Kit (Fermentas Inc.). The primers were designed based on the DNA sequences, which were found in the genebank Primer-BLAST online program [41]. Real-time PCR was performed by Applied BioSystems, Step One ™, using the RealQ Plus 2x kit Master Mix Green (Ampliqon Inc); based on the manufacturer’s protocol. The B2M gene was used as a reference in real-time PCR reactions. The real-time PCR system was set within 10 min at 95 °C, including 44 cycles (each of 15 seconds at 95 ° C), 60 seconds at 60 °C. Also, a melt curve analysis was used to verify specific amplification. The results were normalized with the B2M cycle threshold (Ct). Finally, fold change expression of TNF-α and iNOS genes were assessed with a 2−∆∆Cq method.

Statistical analysis

Data are given as mean ± SE. Repeated measures ANOVA were used to compare group effects across the time course of the experiment. Significant effects were followed up with simple ANOVA contrasts and Tukey’s post hoc test, where appropriate. Finally, single time-point measures, namely TNF-α and iNOS, were explored using a parametric one-way ANOVA test with Tukey’s post hoc test. All analysis was performed using the software of SPSS 18. Significance was assumed when p < 0.05 and the confidence limits used were the 95% intervals.

Results

The patterns of mean arterial blood pressure were similar in the SHS and Vag + SHS groups

The patterns of blood pressures during the different phases of hemorrhagic shock were similar in the SHS and Vag+SHS groups (Fig. 3a). The duration of blood withdrawal from the beginning to the end of the Nadir-1 phase was on the order of 38. 28 ± 2. 32 and 40. 00 ± 2. 02 min in the SHS and Vag+SHS groups. Also, the time courses of Nadir phases (Nadir-1 + Nadir-2) were 135 ± 2 min in the SHS and Vag+SHS groups. There was no significant difference between the duration of the maneuvers across groups.

Fig. 3
figure 3

Mean arterial blood pressure (MAP, A), heart rate (HR, B), and shock index (SI, C) during initial compensatory (In-Com) and Nadir-1 (A) phases in the Sham (N  =  5), Vag (N  =  5), SHS (N  =  7), and Vag + SHS (N  =  8) groups. Data are mean  ±  SE. The comparison between groups was performed by analysis of variance ANOVA. *P < 0.05, versus the baseline; #P < 0.05, versus the Sham group; aP < 0.05, versus the Vag group; bP < 0.05, versus the SHS group

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There were no group differences in baseline values of MAP and HR. Also, MAP and HR in the Sham and Vag groups did not change throughout the experiments (Fig. 3a, b). In addition, MAP remained within the normal range during the initial phase (In-com phase) of blood withdrawal in the SHS and Vag+SHS groups. However, HR increased significantly in the Vag+SHS group. It was followed by a rapid fall in MAP (De-Com phase) until reaching 35 ± 2 mm Hg at the above noted hemorrhagic groups, where the Nadir-1 phase was started. The mean volume of blood withdrawal in the In-Com phases were 23 ± 1% and 26 ± 1% of total blood volume in the SHS and Vag+SHS groups, respectively, with no statistically significant difference detected. Data of De-Com phase was not taken into account because of the direct effect of blood withdrawal on hemodynamic parameters. During the Nadir-1 phase, MAPs were equally maintained in the SHS and Vag+SHS groups, being significantly lower than those in the Sham and Vag groups. Furthermore, HR decreased in the Nadir-1 phase of the SHS group in parallel with the fall in MAP. However, it gradually started to increase after 10 min of this phase even though it was still significantly lower than its baseline. In the Nadir-1 phase of the Vag+SHS group, HR was higher than those in the SHS group (Fig. 3c). In addition, HR did not differ significantly in the Vag+SHS group compared with the Sham and Vag groups. It should be noted that in the Nadir-2 phase, MAP was maintained at the same level as of the Nadir-1 phase. However, because of the additional effects of fluid injection on heart rate, we did not consider HR and HRV at this phase (Fig. 3a, b). In the Nadir-1 phase, SI in the SHS and Vag+SHS groups were higher than those in the Sham and Vag groups, and in the Vag+SHS group was more than that in the SHS group (Fig. 3c).

Data of HR and HRV was not calculated during resuscitation because of the direct effect of blood injection on hemodynamic parameters. During the recovery phase, MAP returned to its baseline level in the SHS group, whereas, HR was higher than that in the Sham group (Fig. 4a, b). Also, MAP in the Vag+SHS group recovered, though it was still lower than that in the Vag group (Fig. 4a). Also, HR in the Vag+SHS group was lower than that in the SHS group being significant at 185 to 190 min (Fig. 4b). However, the increases of SI were not significant during the time courses of recovery in the SHS and Vag+SHS groups (Fig. 4c).

Fig. 4
figure 4

Mean arterial blood pressure (MAP, A), heart rate (HR, B), and shock index (SI, C) during recovery in the Sham (N  =  5), Vag (N  =  5), SHS (N  =  7), and Vag + SHS (N  =  8) groups. Data are mean  ±  SE. The comparison between groups was performed by analysis of variance ANOVA. #P < 0.05, versus the Sham group; aP < 0.05, versus the Vag group; bP < 0.05, versus the SHS group

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The vagotomy partially blunted the increase of the parasympathetic index during the Nadir-1 phase

HRV indices of VLF, LF and HF did not show significant variation at baselines (Fig. 5) and during In-Com phases (data not shown) in all experimental groups.

Fig. 5
figure 5

The frequency domain components of HRV including VLF (A), LF (B), and HF (C) during steady state in the Sham (N  =  5), Vag (N  =  5), SHS (N  =  7), and Vag + SHS (N  =  8) groups. VLF, LF, and HF were expressed as a log scale of ms2. Data are mean  ±  SE. The comparison between groups was performed by analysis of variance ANOVA. There were no statistically significant differences among groups

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In the Nadir-1 phase of the SHS group, VLF, LF and HF were significantly higher than those in the Sham groups (Fig. 6). Although, VLF in the Vag+SHS group was more than that in the Vag group, it was significantly lower than that in the SHS group. Furthermore, LF and HF in the Vag+SHS group were significantly lower than that in the SHS group, though they were still significantly higher than those ones in the Vag groups (Fig. 6).

Fig. 6
figure 6

The frequency domain components of HRV including VLF (A), LF (B), and HF (C) during 30 min of Nadir-1 phase in the Sham (N  =  5), Vag (N  =  5), SHS (N  =  7), and Vag + SHS (N  =  8) groups. VLF, LF, and HF were expressed as a log scale of ms2. Data are mean  ±  SE. The comparison between groups was performed by analysis of variance ANOVA. #P < 0.05, versus the Sham group; aP < 0.05, versus the Vag group; bP < 0.05, versus the SHS group

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During the recovery phase, VLF, LF and HF in the SHS group were lower than those in the Sham group (Fig. 7). Also, VLF and LF in the Vag+SHS group were lower than those in the Vag group. However, there was not a significant difference in HF between Vag and Vag+SHS groups.

Fig. 7
figure 7

The frequency domain components of HRV including VLF (A), LF (B), and HF (C) during 20 min of recovery in the Sham (N  =  5), Vag (N  =  5), SHS (N  =  7), and Vag + SHS (N  =  8) groups. VLF, LF, and HF were expressed as a log scale of ms2. Data are mean  ±  SE. The comparison between groups was performed by analysis of variance ANOVA. Data are mean  ±  SE. #P < 0.05, versus the Sham group; aP < 0.05, versus the Vag group

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Both groups of SHS and Vag + SHS had metabolic acidosis partially compensated with hyperventilation

Table 1 indicates the arterial blood parameters taken at the beginning and the end of the experiments. There was no significant difference in blood parameters at baseline in all groups. At the end of the experiments, pH, HCO3-, base excess (BE) and arterial carbon dioxide pressure (PaCO2) in the SHS and Vag+SHS groups were lower than those in the Sham and Vag groups. Also, the arterial oxygen pressure (PaO2) in the Vag+SHS group was higher than that in the SHS group. It should be mentioned that the atmospheric pressure is 630 mm Hg in the place where the experiments were conducted. Therefore, PaO2 of 65 ± 5 mm Hg was considered normal. There was no significant difference among other variables at the beginning and the end of the experiments. The plasma levels of lactate in the SHS and Vag+SHS groups were higher than those in the Sham and Vag groups. Although the level of lactate in the Vag+SHS was more than that in the SHS group, it was not statistically significant.

Table 1 Comparison of baseline and end arterial blood gas parameters, and end values of lactate in the experimental groups
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The gene expressions of TNF-α and iNOS in the lung were directly proportional to those in the spleen

TNF-α and iNOS gene expressions in the spleen and lung were increased in the SHS group, and the expression of these genes was significantly higher in the SHS group than in the Vag+SHS group. (Fig. 8).

Fig. 8
figure 8

The expressions of TNF-α and iNOS in the spleen (A and C) and lung (B and D) in the Sham (N  =  5), Vag (N  =  5), SHS (N  =  7), and Vag + SHS (N  =  8) groups. Data are mean  ±  SE. The comparison between groups was performed by using parametric one-way ANOVA and Tukey’s post hoc multiple-comparison test. #P < 0.05, versus the Sham group; aP < 0.05, versus the Vag group; bP < 0.05, versus the SHS group

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Discussion

In this study, we investigated the role of the sub-diaphragmatic vagus nerve on hemodynamic parameters and HRV in subacute hemorrhagic shock. Also, blood parameters and the expressions of inflammatory markers in the spleen and lung tissue have been assessed. The results of the present study indicated that the activity of autonomic nervous system (ANS) was various in different phases of hemorrhagic shock. The autonomic balance in the In-Com phase shifted towards sympathetic dominance and in the De-Com phase shifted towards parasympathetic dominance. Parasympathetic activity remained high as blood withdrawal continued. During the recovery phase, parasympathetic activity returned to basal levels. Sub-diaphragmatic vagotomy resulted in decreased parasympathetic activity during hemorrhagic shock, but its effect on ANS activity was reversed in the recovery phase. TNF-α and iNOS expressions increased in lung and spleen after subacute hemorrhagic shock followed by resuscitation, whereas, Sub-diaphragmatic vagotomy decreased both of the above parameters in aforementioned organs. Taken together, these results suggest that the sub-diaphragmatic vagotomy affects ANS activity and proinflammatory responses.

No alteration was identified in the MAP, HR, HRV indices, and blood gas variables at baselines in all experimental groups. Therefore, all groups enter the study under identical conditions. In addition, these results suggest that the unilateral sub-diaphragmatic vagotomy has no effect on the above parameters during the steady-state period.

During the In-Com phase, MAP remained stable in the SHS and Vag+SHS groups, whereas, HR increased significantly compared with their baselines. Therefore, the constant MAP occurs at the expense of increased HR which can be linked to the sympathetic activity in these groups consistent with other studies [26].

In the Nadir-1 phase of the SHS group, MAP was maintained in the lowest range possible in association with decreased HR, similar to other studies in conscious animals subjected to hemorrhagic shock [42]. However, HR decreased modestly in the Nadir-1 phase of the Vag+SHS group despite a significant decrease in MAP. Furthermore, HR of the Vag+SHS group increased gradually, being higher than those in the Vag and SHS groups at the end of Nadir-1 phase. According to a previous study, trauma and hemorrhagic shock modulates release of norepinephrine and thereby reduces MAP and HR, whereas abdominal vagotomy has an opposite effect [43]. In addition, sub-diaphragmatic vagotomy increases the release of epinephrine under stressful conditions [44]. Therefore, the high HR during Nadir-1 in the Vag+SHS group may be due to increased catecholamine release following the partial disinhibition of the sympathetic nerve fibers of the adrenal gland. On the other hand, both HF and LF increased in the Nadir-1 phase of both SHS and Vag+SHS groups, though these increases in the Vag+SHS group were lower than those in the SHS group. LF band is an indicator of sympathetic activity [38]. Besides, it has been reported that during parasympathetic hyperactivity, the LF band increases in parallel with the HF band. Therefore, the LF band cannot be used as a reliable index for the sympathetic activity in this condition [45]. Consequently, the higher LF band in the Nadir-1 phase of the SHS group may be related to the higher HF in this group. Contrary to our results, Payne and her colleges have observed that abdominal vagus nerve manipulation did not evoke any effects on cardiac, respiratory and blood pressure parameters [29]. The different experimental conditions may produce this dissimilarity in results.

The reduction in MAP and HR associated with a significant increase in HF suggests the parasympathetic hyperactivity in the Nadir-1 phase of the SHS group. It has been expressed that low pressure baroreceptors in the heart and lungs are activated by losing more than 15% to 20% of total blood volume, leading to the central inhibition of the sympathetic activity together with the increased parasympathetic activity [26]. In addition, the increase in the HF band in the Vag+SHS group was significantly lower than that in the SHS group which confirms lowering the parasympathetic activity as a consequence of sub-diaphragmatic vagotomy. Therefore, it might be suggested that the interruption of this pathway through sub-diaphragmatic vagotomy not only interferes with the vagus nerve activity but also may prevent the central weakening of sympathetic activity. As a result, HR decreased modestly during the Nadir-1 phase of the Vag+SHS group. Also, during the Nadir-1 phase of the Vag+SHS group, the VLF band was lower than that in the SHS group. It has been indicated that parasympathetic activity is the major determinant of the VLF band [46]. The results of our study also indicate that the decrease in the parasympathetic component of HF is concomitant with the decrease in VLF in the Vag+SHS group. Coordination of the autonomic nervous system is organized in a hierarchical manner reflective of the evolutionary history of autonomic control [47].

According to previous study, in case of cessation of blood withdrawal in the class II hemorrhagic shock, MAP and HRV components were returned back to their baseline levels in both with or without vagotomy groups [17]. However, the present study showed that with continued blood withdrawal and keeping the MAP in the lowest range; HF component remained high in the SHS and Vag+SHS groups. These results have suggested that in the Compensatory class of hemorrhagic shock, the parasympathetic activity decreased after cessation of blood withdrawal; in severe classes, the parasympathetic activity remained high as blood withdrawal continued.

During the recovery phase, MAP returned to the baseline value in the SHS group, though it decreased slightly by the end of the experiment. However, MAP in the Vag+SHS, despite the increase in HR, did not return to the baseline level. The HRV power in the HF bands of the SHS group was lower than the Sham group. But there was no difference between the HF bands in the Vag+HS and Vag groups. These results suggest that the interruption in vagal traffic due to the subdiaphragmatic vagotomy supports recovery of vagal tone. Therefore, it can be concluded that during a subacute hemorrhagic shock, many organs, including the nervous system may be impacted and subdiaphragmatic vagotomy may affect the restoration of organs function.

At the end of the experiments, the arterial pH, bicarbonate, and BE decreased, and lactate increased in the both SHS and Vag+SHS groups. These results indicated metabolic acidosis in these groups which occurs as a consequence of delayed resuscitation, disruption of tissue perfusion, and anaerobic metabolism. The decrease in PaCO2 occurs as a result of a compensatory elevation of ventilation in both hemorrhagic shock groups.

We have recently indicated that vagotomy exacerbates gas exchange through the blood-gas barrier, and lung tissue inflammation in the class II hemorrhagic shock and have implicated the anti-inflammatory effect of the vagus nerve [17]. In the present study, subacute hemorrhagic shock followed by resuscitation increased the expression of TNF-α and iNOS in spleen and lung, whereas subdiaphragmatic vagotomy resulted in a decrease in the expression of these proinflammatory mediators in the Vag+SHS group. These results suggest a role of vagal activation of a proinflammatory response [48]. On the other hand, another study reported that parasympathetic nervous system activity reduced the expression of inflammatory cytokines and modulated the proinflammatory response [49]. The different experimental conditions might play a role in these different results. However, further studies are needed to uncover the role of the vagus nerve in inflammatory responses in hemorrhagic shock.

Conclusion

In conclusion, this study indicated an increase in parasympathetic activity obtained from HRV analysis in the Nadir-1 phase of severe hemorrhagic shock. In addition, the parasympathetic activity is reversed during the recovery time. Also, the increases in TNF-α and iNOS expressions in the hemorrhagic shock group were prevented in the vagotomized hemorrhagic shock group which suggests that the effect of the vagus nerve in severe organ damage would be in favor of the increase in inflammation.

Availability of data and materials

The datasets generated and/or analyzed during the current study are not publicly available due to privacy concerns but are available from the corresponding author on reasonable request.

Abbreviations

SHS:

Subacute hemorrhagic shock

Vag:

Sub-diaphragmatic vagotomized

Vag + SHS:

Sub-diaphragmatic vagotomized with Subacute hemorrhagic shock

HRV:

Heart rate variability

VLF:

Very low frequency

LF:

Low frequency

HF:

High frequency

MAP:

Mean arterial blood pressure

HR:

Heart rate

ANS:

Autonomic nervous system

Ach:

Acetylcholine

TNF-α:

Tumor necrosis factor-α

NF-κβ:

Nuclear factor-kappa β

iNOS:

Inducible nitric oxide synthase

COX-2:

Cyclooxygenase 2

MDA:

Malondialdehyde

In-Com:

Initial compensatory

De-Com:

De-compensatory

SS:

Steady state

ABG:

Arterial blood gas analyzing

BP:

Blood pressure

SI:

Shock index

PCR:

Polymerase chain reaction

PaO2:

Arterial venous oxygen pressure

PaCO2:

Arterial carbon dioxide pressure

VNS:

Vagus nerve stimulation

CLP:

Cecal ligation and puncture

Ct:

Cycle threshold

References

  1. Gonzalez EA, Moore FA, Holcomb JB, Miller CC, Kozar RA, Todd SR, Cocanour CS, Balldin BC, McKinley BA. Fresh frozen plasma should be given earlier to patients requiring massive transfusion. Trauma Acute Care Surg. 2007;62(1):112–9.

    Article  Google Scholar 

  2. Bonanno FG. Hemorrhagic shock: the “physiology approach.” J Emerg Trauma Shock. 2012;5(4):285.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Evans RG, Ventura S, Dampney RA, Ludbrook J. John Ludbrook APPS symposium neural mechanisms in the cardiovascular responses to acute central hypovolaemia. Clin Exp Pharmacol P. 2001;28(5–6):479–87.

    CAS  Article  Google Scholar 

  4. Troy B, Heslop D, Bandler R, Keay K. Haemodynamic response to haemorrhage: distinct contributions of midbrain and forebrain structures. Auton Neurosci. 2003;108(1–2):1–11.

    CAS  Article  PubMed  Google Scholar 

  5. Schadt JC, Ludbrook J. Hemodynamic and neurohumoral responses to acute hypovolemia in conscious mammals. Am J Physiol Heart Circ Physiol. 1991;260(2):H305–18.

    CAS  Article  Google Scholar 

  6. Shenkar R, Coulson WF, Abraham E. Hemorrhage and resuscitation induce alterations in cytokine expression and the development of acute lung injury. Am J Respir Cell Mol Biol. 1994;10(3):290–7.

    CAS  Article  PubMed  Google Scholar 

  7. Colwell C, Moreira M, Grayzel J. Initial management of moderate to severe hemorrhage in the adult trauma patient. Waltham, MA: UpToDate Inc. 2017. https://www.uptodate.com/contents/initial-management-of-moderate-to-severe-hemorrhage-in-the-adult-traumapatient.

  8. Rushing GD, Britt LD. Reperfusion injury after hemorrhage: a collective review. Ann Surg. 2008;247(6):929–37.

    CAS  Article  PubMed  Google Scholar 

  9. Niu CY, Hou YL, Zhao ZG, Zhang YF, Ji JJ, Qiao HX, Zhang J, Yao YM. Role of intestinal lymphatic pathway in pathogenesis of intestine-derived bacteria/endotoxin translocation in rats in shock. Zhongguo wei zhong bing ji jiu yi xue = Chin Crit Care Med = Zhongguo weizhongbing jijiuyixue. 2007;19(5):266–9.

    CAS  Google Scholar 

  10. Shah NS, Kelly E, Billiar TR, Marshall HM, Harbrecht BG, Udekwu AO, Peitzman AB. Utility of clinical parameters of tissue oxygenation in a quantitative model of irreversible hemorrhagic shock. Shock (Augusta, GA). 1998;10(5):343–6.

    CAS  Article  Google Scholar 

  11. Paul R. Recognition, diagnostics, and management of pediatric severe sepsis and septic shock in the emergency department. Pediatr Clin. 2018;65(6):1107–18.

    Google Scholar 

  12. Orlinsky M, Shoemaker W, Reis ED, Kerstein MD. Current controversies in shock and resuscitation. Surg Clin N Am. 2001;81(6):1217–62.

    CAS  Article  PubMed  Google Scholar 

  13. Grässler J, Jezova D, Kvetnanský R, Scheuch D. Hormonal responses to hemorrhage and their relationship to individual hemorrhagic shock susceptibility. Endocrinol Exp. 1990;24(1–2):105–16.

    PubMed  Google Scholar 

  14. McCraty R, Shaffer F. Heart rate variability: new perspectives on physiological mechanisms, assessment of self-regulatory capacity, and health risk. Glob Adv Health Med. 2015;4(1):46–61.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Aires R, Pimentel EB, Forechi L, Dantas EM, Mill JG. Time course of changes in heart rate and blood pressure variability in rats with myocardial infarction. Braz J Med Biol Res. 2017. https://doi.org/10.1590/1414-431x20165511.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Nogami Y, Takase B, Kinoshita M, Shono S, Kaneda S, Ishihara M, Kikuchi M, Maehara T. Characteristic changes in heart rate variability indices during hemorrhagic shock, and effect of liposome-encapsulated hemoglobin in rats. J Arrhythmia. 2010;26(3):189–98.

    Article  Google Scholar 

  17. Khodadadi F, Bahaoddini A, Tavassoli A, Ketabchi F. Heart rate variability and pulmonary dysfunction in rats subjected to hemorrhagic shock. BMC Cardiovasc Disord. 2020;20(1):1–9.

    Article  Google Scholar 

  18. Tonhajzerova I, Mokra D, Visnovcova Z. Vagal function indexed by respiratory sinus arrhythmia and cholinergic anti-inflammatory pathway. RESPNB. 2013;187(1):78–81.

    CAS  Google Scholar 

  19. Herath KH, Cho J, Kim A, Kim HS, Han EJ, Kim HJ, Kim MS, Ahn G, Jeon YJ, Jee Y. Differential modulation of immune response and cytokine profiles of Sargassum horneri ethanol extract in murine spleen with or without Concanavalin. A stimulation. Biomed Pharmacother. 2019;110:930–42.

    CAS  Article  PubMed  Google Scholar 

  20. Berthoud H-R, Powley TL. Characterization of vagal innervation to the rat celiac, suprarenal and mesenteric ganglia. J Auton Nerv Syst. 1993;42(2):153–69.

    CAS  Article  PubMed  Google Scholar 

  21. Tracey KJ. Physiology and immunology of the cholinergic antiinflammatory pathway. J Clin Investig. 2007;117(2):289–96.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  22. Vida G, Peña G, Kanashiro A, Thompson-Bonilla MDR, Palange D, Deitch EA, Ulloa L. β2-Adrenoreceptors of regulatory lymphocytes are essential for vagal neuromodulation of the innate immune system. FASEB J. 2011;25(12):4476–85.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  23. Pfeifer R, Lichte P, Schreiber H, Sellei RM, Dienstknecht T, Sadeghi C, Pape HC, Kobbe P. Models of hemorrhagic shock: differences in the physiological and inflammatory response. Cytokine. 2013;61(2):585–90.

    CAS  Article  PubMed  Google Scholar 

  24. Tsung YC, Chung CY, Wan HC, Chang YY, Shih PC, Hsu HS, Kao MC, Huang CJ. Dimethyl sulfoxide attenuates acute lung injury induced by hemorrhagic shock/resuscitation in rats. Inflammation. 2017;40(2):555–65. https://doi.org/10.1007/s10753-016-0502-4.

    CAS  Article  PubMed  Google Scholar 

  25. Ciesla DJ, Moore EE, Johnson JL, Burch JM, Cothren CC, Sauaia A. The role of the lung in postinjury multiple organ failure. Surgery. 2005;138(4):749–58.

    Article  PubMed  Google Scholar 

  26. Porter K, Ahlgren J, Stanley J, Hayward LF. Modulation of heart rate variability during severe hemorrhage at different rates in conscious rats. Auton Neurosci. 2009;150(1–2):53–61.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Millis RM, Austin RE, Hatcher MD, Bond V, Goring KL. Metabolic energy correlates of heart rate variability spectral power associated with a 900-calorie challenge. J Nutr Metab. 2011;2011:1–6.

    Article  Google Scholar 

  28. Cooper TM, McKinley PS, Seeman TE, Choo T-H, Lee S, Sloan RP. Heart rate variability predicts levels of inflammatory markers: evidence for the vagal anti-inflammatory pathway. Brain Behav Immun. 2015;49:94–100.

    CAS  Article  PubMed  Google Scholar 

  29. Payne SC, Furness JB, Burns O, Sedo A, Hyakumura T, Shepherd RK, Fallon JB. Anti-inflammatory effects of abdominal vagus nerve stimulation on experimental intestinal inflammation. Front Neurosci. 2019;13:418.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Antonino D, Teixeira AL, Maia-Lopes PM, Souza MC, Sabino-Carvalho JL, Murray AR, Deuchars J, Vianna LC. Non-invasive vagus nerve stimulation acutely improves spontaneous cardiac baroreflex sensitivity in healthy young men: a randomized placebo-controlled trial. Brain Stimul. 2017;10(5):875–81.

    Article  PubMed  Google Scholar 

  31. Capalonga L, de Araujo CLP, Hentschke VS, Rossato DD, Quagliotto E, Becker T, Rigatto K, Ferraresi C, Parizotto NA, Dal Lago P. Neuromuscular electrical stimulation but not photobiomodulation therapy improves cardiovascular parameters of rats with heart failure. Can J Physiol Pharmacol. 2021;99(999):1–9.

    Google Scholar 

  32. Smith GP, Jerome C, Norgren R. Afferent axons in abdominal vagus mediate satiety effect of cholecystokinin in rats. Am J Physiol Regul Integr Comp Physiol. 1985;249(5):R638–41.

    CAS  Article  Google Scholar 

  33. Lee H, Blaufox M. Blood volume in the rat. J Nucl Med. 1985;26(1):72–6.

    CAS  PubMed  Google Scholar 

  34. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Circulation. 1996;93(5):1043–65.

    Article  Google Scholar 

  35. Cerutti C, Barres C, Paultre C. Baroreflex modulation of blood pressure and heart rate variabilities in rats: assessment by spectral analysis. Am J Physiol Heart Circ Physiol. 1994;266(5):H1993–2000.

    CAS  Article  Google Scholar 

  36. Cerutti C, Gustin M, Paultre C, Lo M, Julien C, Vincent M, Sassard J. Autonomic nervous system and cardiovascular variability in rats: a spectral analysis approach. Am J Physiol Heart Circ Physiol. 1991;261(4):H1292–9.

    CAS  Article  Google Scholar 

  37. Claydon VE, Krassioukov AV. Clinical correlates of frequency analyses of cardiovascular control after spinal cord injury. Am J Physiol Heart Circ Physiol. 2008;294(2):H668–78.

    CAS  Article  PubMed  Google Scholar 

  38. Lehrer PM. Biofeedback training to increase heart rate variability. Princ Pract Stress Manag. 2007;3:227–48.

    Google Scholar 

  39. Laborde S, Mosley E, Thayer JF. Heart rate variability and cardiac vagal tone in psychophysiological research—recommendations for experiment planning, data analysis, and data reporting. Front Psychol. 2017;8:213.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Koch E, Lovett S, Nghiem T, Riggs RA, Rech MA. Shock index in the emergency department: utility and limitations. OAEM. 2019;11:179.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Ye J, Coulouris G, Zaretskaya I, Cutcutache I, Rozen S, Madden TL. Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction. BMC Bioinform. 2012;13(1):1–11.

    Article  Google Scholar 

  42. Troy BP, Hopkins DA, Keay KA. The hemodynamic response to blood loss in the conscious rat: contributions of cardiac vagal and cardiac spinal signals. Shock. 2014;41(4):282–91.

    Article  PubMed  Google Scholar 

  43. Yagi M, Morishita K, Ueno A, Nakamura H, Akabori H, Senda A, Kojima M, Aiboshi J, Costantini T, Coimbra R, Otomo Y. Electrical stimulation of the vagus nerve improves intestinal blood flow after trauma and hemorrhagic shock. Surg. 2020;167(3):638–45.

    Article  Google Scholar 

  44. Mravec B, Ondicova K, Tillinger A, Pecenak J. Subdiaphragmatic vagotomy enhances stress-induced epinephrine release in rats. Auton Neurosci. 2015;190:20–5.

    CAS  Article  PubMed  Google Scholar 

  45. Saul J, Rea RF, Eckberg DL, Berger RD, Cohen RJ. Heart rate and muscle sympathetic nerve variability during reflex changes of autonomic activity. Am J Physiol Heart Circ Physiol. 1990;258:H713–21. https://doi.org/10.1152/ajpheart.1990.258.3.H713.

    CAS  Article  Google Scholar 

  46. Tripathi K. Very low frequency oscillations in the power spectra of heart rate variability during dry supine immersion and exposure to non-hypoxic hypobaria. Physiol Meas. 2011;32(6):717.

    CAS  Article  PubMed  Google Scholar 

  47. Porges SW. The polyvagal theory: neurophysiological foundations of emotions, attachment, communication, and self-regulation (Norton Series on Interpersonal Neurobiology). New York, NY: WW Norton & Company; 2011.

    Google Scholar 

  48. Fuentes JM, Hanly EJ, Aurora AR, De Maio A, Talamini MA. Anesthesia-specific protection from endotoxic shock is not mediated through the vagus nerve. Surgery. 2005;138:766–71.

    Article  PubMed  Google Scholar 

  49. Guarini S, Altavilla D, Cainazzo MM, Giuliani D, Bigiani A, et al. Efferent vagal fibre stimulation blunts nuclear factor-κB activation and protects against hypovolemic hemorrhagic shock. Circulation. 2003;107:1189–94.

    Article  PubMed  Google Scholar 

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Acknowledgements

We would like to appreciate Dr. Iman Jamhiri for technical assistance in PCR measurements.

Funding

This work was supported by the Research Council of University of Shiraz [Grant No. SU-9330208]; and the Research Council of Shiraz University of Medical Sciences [Grant No. 96-01-01-14378] as a part of work of acquiring a Ph.D. degree in physiology by F. Khodadadi. The authors confirm that none of these organizations had a role in the design of the study, data collection, data analysis, interpretation of data, or in writing the manuscript.

Author information

Authors and Affiliations

  1. Department of Biology, College of Sciences, Shiraz University, Shiraz, Iran

    Fateme Khodadadi & Aminollah Bahaoddini

  2. Department of Physiology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran

    Farzaneh Ketabchi

  3. Stem Cell Technology Research Center, Shiraz University of Medical Science, Shiraz, Iran

    Zahra Khodabandeh

  4. Department of Pathology, Fasa University of Medical Sciences, Fasa, Iran

    Alireza Tavassoli

  5. Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA

    Gregory F. Lewis

  6. The Traumatic Stress Research Consortium at the Kinsey Institute, Indiana University, Bloomington, IN, USA

    Gregory F. Lewis

Authors
  1. Fateme Khodadadi
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  4. Alireza Tavassoli
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Contributions

FK and AT performed experiments; FK and FK analyzed data; FK, FK, AB and AT interpreted results of the experiments; FK prepared figures; FK and FK drafted the manuscript; FK, AB and GL edited and revised manuscript; all authors have read and approved final version of the manuscript.

Corresponding author

Correspondence to Aminollah Bahaoddini.

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Ethics approval

All the experimental procedures were carried out based on the international standards and national legislation on animal care and the Animal Research Reporting In Vivo Experiments (ARRIVE) guidelines. All procedures in this study were approved by the Center for Comparative and Experimental Medicine and the Ethical Committee of Animal Care at Shiraz University of Medical Sciences, Shiraz, Iran (approval code no: IR.SUMS.MED.REC.1396.s203).

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Khodadadi, F., Ketabchi, F., Khodabandeh, Z. et al. The effect of subdiaphragmatic vagotomy on heart rate variability and lung inflammation in rats with severe hemorrhagic shock. BMC Cardiovasc Disord 22, 181 (2022). https://doi.org/10.1186/s12872-022-02594-w

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Keywords

  • HRV
  • iNOS
  • Shock
  • TNF-α
  • Vagus nerve

BMC Cardiovascular Disorders

ISSN: 1471-2261

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