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PLOS One logoLink to PLOS One
. 2021 Aug 2;16(8):e0255175. doi: 10.1371/journal.pone.0255175

Assessing the severity of laparotomy and partial hepatectomy in male rats—A multimodal approach

Leonie Zieglowski 1, Anna Maria Kümmecke 1, Lisa Ernst 1, Rupert Palme 2, Ralf Weiskirchen 3, Steven R Talbot 4, René H Tolba 1,*
Editor: Pavel Strnad5
PMCID: PMC8328343  PMID: 34339407

Abstract

This study assessed the postoperative severity after three different visceral surgical interventions in rats by using objective parameters pertaining to various disciplines. The objective was to evaluate whether the degree of severity increases with the invasiveness of the intervention and whether this is in accordance with the EU Directive 2010/63. 136 adult male WistarHan rats were assigned to three groups: Sham-laparotomy (Sham) [7 days post-surgical survival time]; 50% partial hepatectomy (PH); 70% PH [PH groups with 1, 3, or 7 days post-surgical survival times]. Post-surgical severity assessment was performed via several multimodal assessment tools: I) model-specific score sheet focusing on body weight, general condition, spontaneous behavior, and the animals’ willingness to move as well as on wound healing; II) Open Field tests evaluating the total distance and velocity an animal moved within 10 minutes and its rearing behavior during the test; III) telemetric data analyzing heart rate and blood pressure; and IV) analysis of blood (AST, ALT, and hemogram) and fecal samples (fecal corticosterone metabolites). Significant differences among the experimental groups and models were observed. We demonstrated that the Open Field test can detect significant changes in severity levels. Sham-laparotomy and removal of 50% of the liver mass were associated with comparable severity (mild–moderate); the severity parameters returned to baseline levels within seven days. Removal of 70% of the liver tissue seemed to be associated with a moderate severity grade and entailed a longer recovery period (>7 days) for complete regeneration. We recommend the use of Open Field tests as part of multimodal objective severity assessment.

Introduction

The European Union (EU) Directive 2010/63/EU mandates adherence to the principle of the “Three Rs” (reduction, refinement, replacement) and establishment of severity assessments for animal research [1]. All scientific research projects are currently required to categorize the expected and the retrospective actual degree of severity of their protocols and classify these as mild, moderate, or severe (as defined in Annex VIII of the Directive). However, standardization of animal species- and trial-specific parameters and development of objective evaluation criteria are key requirements for this purpose.

The key elements of a valid severity assessment pertain to three main domains: 1.) “Biochemistry and Biomarker”, 2.) “Physiology and Clinic”, and 3.) “Behavior” [2]. During an experiment, animals are liable to be influenced by a wide variety of factors. Therefore, it is necessary to identify the stressful states that can be recorded, assessed, and classified [3]. In this study, we evaluated the use of existing assessment parameters for developing a more objective, model-specific approach for the assessment of severity levels in animal research. As part of the German research group FOR 2591 “Severity Assessment in animal-based Research,” the experiments presented here intend to assess severity after partial liver resection in male rats. This surgical model is widely used in oncology, hepatology, and endocrinology research [4]. Liver resection in rats was first described by Higgins and Anderson in 1931 and has since been used in many different ways [5]. The most commonly used rat models of liver resection entail removal of 65–72% of the total liver parenchyma in male Wistar rats. The surgical technique described by Higgins and Anderson is still considered state-of-the-art after all these years [4]. However, Annex VIII of the EU Directive 2010/63/EU classifies the severity of general surgical procedures such as laparotomy, organ resection, and organ transplantation as “moderate.” The postoperative burden on the animals invariably depends on several factors including the skills of the surgeon, the extent of liver resection, and the peri- and postoperative management and care of the animals. Therefore, the use of validated parameters to determine the degree of severity in an individual animal and its impact on animal behavior is a key imperative. For this purpose, assessment criteria applied in this study represent a selection of the available methods from the respective underlying disciplines, i.e., “biochemistry and biomarker” (blood and organ profiles, fecal corticosterone metabolites), “physiology and clinic” (scoring, telemetry, body weight), and “behavior” (Open Field, OF). This multimodal approach employs a composite scoring system to facilitate a comprehensive assessment of the current severity of the animals.

As a further method, behavioral testing via the OF test was used to assess postoperative severity in this surgical model involving the use of living animals as described elsewhere [6]. Here, the focus was set on to the evaluation of spontaneous locomotor behavior and voluntary willingness to move as indices of surgery-related severity in the animal.

Material and methods

Animals and ethics statement

All experiments were conducted in accordance with the German animal welfare law (Tierschutzgesetz, TSchG) and the EU Directive (2010/63/EU) [1]. The study protocol was approved by the Governmental Animal Care and Use Committee (Reference No.: 84–02.04.2017.A304; Landesamt für Natur, Umwelt und Verbraucherschutz Recklinghausen, Nordrhein-Westfalen, Germany; dated: 14.02.2018). The study protocol also complied with the Guide for the Care and Use of Laboratory Animals [7]. All staff members were trained in the rat-specific behavior and care and the corresponding handling methods, in advance. For this purpose, either special trainings according to FELASA guidelines were absolved or individual permits for the respective tasks were given by the supervisory authority.

A total of 136 male WistarHan rats (Janvier S.A.S., Saint-Berthevin Cedex, France) [delivery body weight (BW): 150–175 g; age range: 6–8 weeks] were used as this was identified to be the most commonly used model in liver resection research [4]. The animals were kept under SPF-conditions according to FELASA recommendations [8]. All animals were group-housed in filter-top cages (Type 2000, Tecniplast, Buguggiate, Italy) and a controlled environment (12-h/12-h light-dark cycle; temperature: 22°C ± 2°C; relative humidity: 30%–70%). For cage enrichment, low-dust wood granulate was used as bedding (Rettenmeier Holding AG, Wilburgstetten, Germany) in addition to nesting material (Nestlet, 14010, Plexx B.V., Elst, The Netherlands). To reduce stress, play tunnels were used for handling, cage changes, or transfers to test setups (tunnel Ø 155 × 75 mm, #3084014, Zoonlab GmbH, Castrop-Rauxel, Germany). All rats were provided ad libitum access to standard diet (rat/mouse maintenance #V1534-300, 10 mm; ssniff Spezialdiäten GmbH, Soest, Germany) and sweetened (Ja! Süßstoff flüssig, Rio Mints & Sweeteners B.V., Utrecht, The Netherlands) drinking water. Liquid sweetener was used to mask the bitter taste of postoperatively administered analgesics (metamizole/dipyrone).

Experimental setup

After seven days of acclimatization, the rats were randomly allocated to the laparotomy group (Sham, n = 10), 50% PH group (n = 63), or 70% PH group (n = 63) with different survival time-points (Table 1).

Table 1. Overview of sample size, survival time, and implanted telemetric devices in various animal groups.

Study group Survival time Telemetric device Rats (n)
Sham-laparotomy (Sham) POD7 n = 10 10
50% partial hepatectomy (50% PH) POD1 - 21
POD3 - 21
POD7 n = 12 21
70% partial hepatectomy (70% PH) POD1 - 21
POD3 - 21
POD7 n = 12 21

POD, postoperative day.

Rats were trained to the OF test thrice every alternate training day (D-20, D-18, and D-16). On D-15 (surgery I), a telemetric transmitter (hereafter referred to as transmitter implantation, TI; Data Sciences International, Minnesota, USA; HD-S11) was surgically implanted subcutaneously in the left flank in 12 animals of each 7-day survival group. All animals in the Sham group were implanted with a dummy device, as these animals were part of a pilot study [6] performed before studying PH. Transmitter implantation was followed by a 12-day recovery phase with no further intervention. To ensure comparability, this test-free recovery period was standardized for all animals, even if they were not telemetrically monitored. Thereafter, retraining was performed on D-2 and -1 in all animals, followed by Sham, 50% PH, or 70% PH (surgery II), on D0. OF tests were performed in the housing room and during the initial 3 h after the beginning of the light phase on POD1, POD3, POD4, and POD7 (depending on survival time) (Fig 1). Testing was performed only by female researchers to minimize any confounding influence on the results of the behavioral test [9].

Fig 1. Schematic illustration of the study timeline.

Fig 1

D: study day; POD: postoperative day; OF: Open Field test; TI: transmitter implantation (*:only in Sham and n = 12 animals of each POD7 survival group of PH); BW, body weight control; FCM, fecal sampling for analyses of fecal corticosterone metabolites; Sham, sham-laparotomy; PH, partial hepatectomy (#: 50% or 70% removal); eutha, the time point of euthanasia (Sham: n = 10 on POD7; PH groups: n = 21 each on POD1, POD3, or POD7); Eppendorf tube, blood sampling.

Body weight was measured before individual training, as well as before and after each surgery; in addition, the body weight was measured once daily during postoperative scoring. Postoperative scoring was conducted three times a day from POD1 to POD3 and once a day in the morning from POD4 to POD7. The schedule of this experiment is identical to that used in the pilot study [6]. On euthanasia day (POD1, POD3, or POD7) rats were reopened (surgery III) under general anesthesia [induction: 5 vol% isoflurane (Abbott GmbH, Wiesbaden, Germany) + 5 L O2/min; maintenance: 2 vol% isoflurane + 2 L O2/min] and analgesia (metamizole; Novaminsulfon-ratiopharm® 1 g/2 mL; Ratiopharm GmbH, Ulm, Germany; 100 mg/kg, s.c., single dose) and were euthanized by final blood withdrawal from the inferior vena cava. Organs were removed for subsequent examinations and processed accordingly.

Open Field tests

For the OF test, rats were placed in the middle of the field (L 72 × W 72 × H 40 cm; water-resistant plastic with dark underground) and then video recorded from above for 10 min (Media Recorder 4, NOLDUS, Wageningen, The Netherlands; camera: Camera GigE monochrome, 1/1″; lens: Lens Std CS mount, 4.5–12.5 mm 1/2″, Basler AG, Ahrensburg, Germany) without further adaptation time. Analyses were performed using the NOLDUS EthoVision XT 14 software (NOLDUS, Wageningen, The Netherlands) with a focus on velocity, distance, and unsupported rearing. After each test run, the OF surface was cleaned, disinfected with wet wipes (Incidin Perfekt 5%, #104206E; Ecolab Deutschland GmbH, Germany), and subsequently wiped off.

Surgical procedures and treatment

All surgeries (I–III) were performed in the same timeframe in a separate operating room under aseptic conditions and general anesthesia [induction: 5 vol% isoflurane (Abbott GmbH) + 5 L O2/min; maintenance: 2 vol% isoflurane + 2 L O2/min] with analgesics (metamizole; Novaminsulfon-ratiopharm® 1 g/2 mL; Ratiopharm GmbH, Germany; 100 mg/kg, s.c., single dose) and antibiotics (cefuroxime, 16 mg/kg, s.c.). Postoperative analgesia was based on the recommendations of the German Society for Laboratory Animal Science (GV-SOLAS) as well as the Initiative Veterinary Pain Therapy [10, 11]. Blood samples were obtained during surgeries from the vena sublingualis (TI) or inferior vena cava (PH and euthanasia).

Surgery I (D-15)

Transmitters were implanted (TI) subcutaneously in the left flank, with its blood pressure catheter placed in the femoral artery. ECG electrodes were led subcutaneously to the pectoral region and sutured to the muscle tissue. Dummy transmitters were identical in construction but were not equipped with a valid measuring unit.

Surgery II (D0)

Sham and PH were performed via laparotomy (midline incision from the xiphoid to cranial pelvic brim, approximately 5 cm). Subsequently, blood samples were obtained from the inferior vena cava (750 μL). Within the Sham groups, liver lobes were carefully touched with a moistened cotton swab. After about 20 minutes, the abdominal cavity was rinsed with warm saline and closed in the same way as in PH groups. Here, the individual liver lobes to be resected were removed, according to their percentage of organ weight (Fig 2 and Table 2).

Fig 2. Short name of individual liver lobes (visceral view).

Fig 2

From left to right: native liver (Sham), 50% PH, and 70% PH; resected liver lobes shown in red with resection line in the resection groups.

Table 2. Liver lobes and their respective percentage in organ weight.
Liver lobe Sub lobes Total liver mass (%)
Left lateral lobe (LLL) - ~30
Median lobes (ML) left median lobe (LML) ~38
right median lobe (RML)
Right liver lobes (RLL) inferior right lobe (IRL) ~22
superior right lobe (SRL)
Caudate lobes (CL) anterior caudal lobe (ACL) ~10
posterior caudal lobe (PCL)

(according to Zieglowski) [4].

For 50% PH these were: left lateral lobe (LLL), left part of the medial hepatic lobe (LML), and both caudate lobes (CL). For 70% PH, LLL and ML were resected. The focus was not to resect the exact amount of 50% or 70% of the liver mass, but rather to find approximate values that at the same time represent a significant difference between the resected groups, which was based on the most frequently used resection models and resected liver lobes, according to Zieglowski et al. [4]. The isolated liver lobes were tied with 4/0 silk (Resorba Medical GmbH, Nürnberg, Germany) at the hilus of the lobe, cut off with scissors, and the remaining stump cauterized with bipolar forceps (HF-Generator, MBC, Söring GmbH, Quickborn, Germany) to avoid further bleeding. Subsequently, the abdominal cavity was rinsed with sterile saline at body temperature and blood clots removed; in the absence of any further bleeding, the abdomen was closed using a two-layer continuous suture (5/0 Prolene, Johnson & Johnson Medical GmbH ETHICON, Norderstedt, Germany) for the muscle layer and an interrupted suture for the skin (4/0 Vicryl, Johnson & Johnson Medical GmbH ETHICON). During the recovery phase, the animals were placed in a pre-oxygenated and warmed intensive care unit (Vetario; Brinsea Products Ltd., North Somerset, UK) and administered a single subcutaneous injection of sterile saline (10 mL/kg). To prevent wound infections, antibiotic therapy (cefuroxime, 16 mg/kg, s.c., once daily until POD 3) was administered right before and within the first three days post surgery. Analgesia was administered subcutaneously (metamizole, Novaminsulfon-ratiopharm® 1 g/2 mL; 100 mg/kg, s.c., single dose) prior to each surgery. For post-surgical pain management, metamizole (metamizole, Novaminsulfon-ratiopharm® 1 g/2 mL; 400 mg/kg/day, oral) was administered until the late afternoon of the third day after surgery (POD 3), via sweetened drinking water. This should enable an assessment on the morning of the fourth post-surgical day (POD 4), without the influence of analgesic medication.

Surgery III (POD1, POD3, or POD7)

After abdominal re-opening and evaluation of the situs, animals were euthanized by final blood withdrawal from the inferior vena cava. The organs were removed, weighed, examined, and processed for further analysis. Euthanasia was set as the endpoint of the study on POD1, POD3, or POD7, depending on the survival group.

Scores for the degree of severity

For severity scoring, a modified version of the scoring system described by Morton et al. (1985) [12] was used daily to assess the general condition of rats (see detailed score sheet in S1 File). Due to the number of surgeries performed, the member size of the working group, and the additional limitation of relying on female-only staff with sufficient expertise, the personnel were not blinded to the animals’ treatment. The scoring was carried out in the home cage first, without further interference from outside, hereafter each animal was examined in detail, outside the cage. Here, the four major criteria were: 1) body weight; 2) overall state; 3) spontaneous locomotor behavior and readiness to walk; and 4) surgical procedure and wound healing. The spontaneous locomotor behavior was usually assessed first. To assess wound healing, several stages with subsequent proceedings were defined. If only the thread ends were gnawed off (wound edges adapted), a more intensive monitoring was performed. If the adaptation of wound edges was about to loosen, a wound clip was applied on the corresponding area to secure the suture, and was removed as soon as the wound looked resilient. If a suture dehiscence of single knots occured, the animal was re-anesthetized, the wound was cleaned, and re-sutured. In the case that the suture of the abdominal muscle layer ruptured (hernia; skin suture closed), the animal was re-anesthetized, skin sutures were removed and finally muscles layer and skin were re-sutured. Each criterion was scored on a scale of 1 to 20 [DS = 0 points (no distress), DS ≥ 5 points (mild distress), DS ≥ 10 points (moderate distress), and DS ≥ 20 points (severe distress)]. Rats with a morning score of ≥ 15 were not exposed to the OF on that day and were assessed more frequently (3 times per day). For a score of ≥ 15 points, a time limit of 24 hours was set as a humane endpoint. On the respective postoperative examination time-points, score points were summed up and were required to be ≤ 19 points to fall below the predefined humane endpoint of 20 score points. Further study-specific criteria to determine a humane endpoint of an individual animal were: body weight decrease ≥ 20% (in comparison to post-surgical body weight); cramps; paralysis; breathing difficulties; icterus; diarrhea (>48 h); animal feels cold; permanent crouching with closed eyes; repetitive suture dehiscence; severely infected wound; hemoperitoneum; severe tongue swelling with opened mouth. For statistical analysis, the individual scores on each POD were shown as boxplots.

Measurement of serum and blood parameters

Serum levels of lactate dehydrogenase (LDH), aspartate aminotransferase (AST), and alanine aminotransferase (ALT) were determined as functional parameters of hepatocellular damage using a VITROS 350® Integrated System Analyzer (Ortho Clinical Diagnostics, NJ, USA) on surgery II and III (POD1, POD3, or POD7). For hematology, EDTA blood was analyzed and blood cell counts were determined using the Celltac α MEK-6450 K (Nihon Kohden Europe GmbH, Rosbach vor der Höhe, Germany); differential hemograms were determined and blood smears were microscopically evaluated after eosin methylene blue staining.

Measurement of FCMs

Levels of corticosterone or its metabolites were determined in serum and fecal samples. Here, during OF or surgery weaned fecal samples were taken and analyzed using an enzyme immunoassay, as described elsewhere [1315]. Due to the species-specific time delay between a stress-induced increase in plasma cortisol levels and respective corticosterone metabolites levels in feces (FCMs; peak approximately after 12 h), samples represented the impact of the intervention on the preceding day.

Telemetric data acquisition

Data acquisition of heart rate and blood pressure were initiated by touching the animal with a magnet over the implanted transmitter, which leads to activation of the transmitter. Data were collected during the 10 minutes in the OF and the activity phase of the animals (overnight; 1h before the start of the dark phase until 1h after the end of the dark phase). To avoid anesthesia-related distortion of the measured parameters, the post-surgical overnight measurement was recorded from POD1 to POD2, first. This was followed by measurements from POD2 to POD3, from POD3 to POD4, and from POD6 to POD7. Therefore, the measured values are subsequently evaluated as data on the follow-up day (POD2, POD3, POD4, and POD7). Telemetric data were continuously collected during the measurement period and analyzed (Ponemah 6.4, Data Sciences International, USA). The parameters evaluated were heart rate (HR) and blood pressure (BP) and values of each measurement time (OF or overnight) were averaged with a logging rate of 1 minute.

Statistical analysis

The sample size of animals in each group was determined using the open-source software G*Power (version 3.1; Freeware, Heinrich Heine University of Düsseldorf, Düsseldorf, Germany; www.gpower.hhu.de). Before statistical analysis, the normality of distribution of all variables was assessed by Shapiro-Wilk, D’Agostino–Pearson, and Kolmogorov–Smirnov tests using the GraphPad Prism software (Windows version 7.04; GraphPad Software, San Diego, CA, USA). Depending on the outcomes of tests, non-parametric or parametric analyses were used. For non-parametric tests, Kruskal-Wallis and Dunn’s post-hoc tests were chosen. Analysis of variance was performed using one-way or two-way ANOVA followed by post-hoc tests for multiple comparisons. Tukey’s and Dunnett’s tests were used for multi-group comparisons (e.g., comparison with Sham group) or comparison with baseline (Dunnett’s). We used the Šidák correction for the comparisons of two groups (50% PH vs. 70% PH) at a particular time-point (PODs). Line graphs were prepared using the mean value ± standard deviation.

Post-hoc tests with p ≤ 0.05 were considered significant. Here, the following symbols represent the significances between the groups: “#” = Sham vs. 50% PH; “*” = Sham vs. 70% PH and “&” = 50% vs. 70% PH. Moreover, the quantity of symbols corresponds to the level of significance: # / */ & = p ≤ 0.05 up to ####/ ****/ &&&& = p ≤ 0.0001. Due to random variation in animals, test results were normalized to their baseline values, except for liver enzymes. Serum levels of ALT and AST are presented as units per liter. A Principal Component Analysis (PCA) was performed using the factoextra package [16] in the R software [17]. PCA calculation was limited to variables for which complete data were available. Therefore, only factor combinations that were available in all comparison groups at the same time-point were tested, scaled, and plotted.

Retraining values of OF tests (D-2 and D-1) were averaged; the mean values were set as baseline levels for behavioral analyses. Score points for the severity degree are shown as median with upper limits. Baseline values for blood and serum analysis were averaged out of samples obtained during the second surgery (Sham or PH). For FCM analysis, values of weaned feces from the second retraining were averaged and used as baselines. For the standardized calculation of FCMs/g feces in relation to liver weight (calculated from own data of body weight-liver weight-ratio), we used a value of 4.15%. Data were checked for normality and homoscedasticity using the Shapiro-Wilk and the Levene test. In case of violated model assumptions, the non-parametric Kruskal-Wallis test was preferred over ANOVA. Multiple group comparisons were performed using either Tukey’s (ANOVA) or Dunn’s test (Kruskal-Wallis). In the case of Dunn’s test, the false-discovery rate for multiple testing was controlled with the Benjamini-Hochberg criterion. Data of re-sutured animals or animals with surgery-related complications were included in the analysis, as long as they did not reach the predefined humane endpoints.

Results

Determination of body weight and scores for degree of severity

After laparotomy or liver resection, body weight in all groups showed a decrease from POD1 until POD3 latest (70% PH), compared to post-surgical baseline values. While Sham animals gained weight after POD2 and reached baseline on POD3, 50% PH group exceeded the baseline level on POD4 and the median weight in the 70% PH group reached the initial post-surgical weight on POD5. Significant differences were observed between post-surgical weight changes in the Sham and PH groups at nearly every time-point (Fig 3). After reaching their lowest weight values, all groups showed a constant gain in weight until the sacrifice day.

Fig 3. Comparative body weight change (%) in the three study groups (Sham, 50% PH, 70% PH) during post-surgical phase.

Fig 3

Animal numbers (Sham/ 50% PH / 70% PH): post-surgery (n = 10/63/59), POD 1 (n = 10/63/59), POD 2 (n = 10/42/39), POD 3 (n = 10/42/38), POD 4 (n = 10/21/18), POD 5 (n = 10/21/18), POD 6 (n = 10/21/18), POD 7 (n = 10/21/18); two-way ANOVA F(14,621) = 4.026, p < 0.0001; POD2: Sham vs. 50% PH (#) padj = 0.0125 and Sham vs. 70% PH (***) padj = 0.0005; POD3: Sham vs. 50% PH (###) padj = 0.0002 and Sham vs. 70% PH (****) padj = < 0.0001; POD4: Sham vs. 70% PH (*) padj = 0.03 and 50% PH vs. 70% PH (&) padj = 0.0313; POD5: Sham vs. 70% PH (**) padj = 0.0072 and 50% PH vs. 70% PH (&&) padj = 0.0011; POD6: Sham vs. 70% PH (*) padj = 0.0105 and 50% PH vs. 70% PH (&&&) padj = 0.0001; POD7: Sham vs. 50% PH (#) padj = 0.0250 and 50% PH vs. 70% PH (&&&&) padj < 0.0001.

On postoperative follow-up, the severity scores showed significant differences between the three groups (Fig 4). In the Sham and 50% PH group, all animals reached the intended end of the study; however, in the 70% PH group, two animals died due to major bleeding during PH and one animal had to be euthanized during post-surgical recovery phase due to stenosis (animal feels cold, esp. hind legs and paws; incipient paralysis). Three other animals died within the first three postoperative days (POD). Of these three animals, one was euthanized because it reached a humane endpoint (hemoperitoneum on POD1) and two died in the intervening nights of POD1 and POD3 (cause of death unknown). Further wound healing disorders occurred in the post-surgical recovery period: two skin sutures had to be fixed with additive wound clips (PH70%); one skin suture had to be re-sutured under short general anesthesia (SHAM group); six animals got a hernia of the muscle layer and had to be re-sutured under general anesthesia (PH70%). Overall, the scores of the Sham animals did not exceed the mild level (in median) at any time and the increase in severity scores only became noticeable on POD4 and POD5; however, the PH groups showed the peak mean value on POD2 (maximum value in both groups: 6 score points). On no other POD, a higher average score than 6 points was achieved.

Fig 4. Boxplots of severity scores.

Fig 4

(Body weight, general condition, wound healing, and spontaneous locomotor behavior) after Sham or PH with upper limits with a gradual allocation of severity (mild: ≥ 5 points, moderate: ≥ 10 points, and severe: ≥ 20 points); animal numbers (Sham/ 50% PH / 70% PH): POD 1 (n = 10/63/60), POD 2 (n = 10/42/39), POD 3 (n = 10/42/38), POD 4 (n = 10/21/18), POD 5 (n = 10/21/18), POD 6 (n = 10/21/18), POD 7 (n = 10/21/18); Kruskal–Wallis-test (χ2 = 353.3, p < 0.0001, degrees of freedom (df) = 21); POD1: Sham vs. 50% PH (####) and Sham vs. 70% PH (****) padj < 0.0001; POD2: Sham vs. 50% PH (####) and Sham vs. 70% PH (****) padj < 0.0001; POD3: Sham vs. 50% PH (#) padj = 0.0253 and Sham vs. 70% PH (****) padj < 0.0001.

Open Field performance

To analyze the behavioral changes due to post-surgical severity, we investigated the OF performance with a focus on velocity, distance, and unsupported rearing behavior. The distance covered by the animals as well as the recorded velocity showed no significant differences between the Sham and PH groups. Similarly, no significant between-group differences were identified with respect to the frequency of unsupported rearing at any time-point (Fig 5). As shown in the graphs, all the assessed parameters showed almost identical postoperative progression. Only the median values in the 70% PH group did not reach the initial values up to POD7.

Fig 5. Comparison of the course of Open Field modalities in various groups (Sham; 50% PH; 70% PH).

Fig 5

Boxplots of covered distance (A), velocity (B), and counts of unsupported rearing (C) during 10 min of test duration; no significant differences.

Fecal corticosterone metabolites (FCMs)

In all groups, the peak level of FCMs [expressed as a percentage in relation to the second retraining (D-1)] was observed on POD1. On POD7, FCM levels had decreased to baseline level in Sham animals and were lower than baseline levels in both resection groups (Fig 6A). After standardization of FCM levels, depending on the individual body weight-liver weight-ratio (BW-LW-ratio) at POD1, the Sham group exhibited the lowest level (Fig 6B). For the calculation of the ratio, a value of 4.15% liver weight (calculated from own data) in relation to total body weight, was used.

Fig 6. Comparison of fecal corticosterone metabolites (FCMs) in samples weaned during Open Field or during anesthetic induction in various groups.

Fig 6

(A) Percentage changes in FCM levels in the three groups over time; sample sizes (Sham/ 50% PH / 70% PH) on each time point: baseline (n = 10/61/62), surgery (n = 10/54/57), POD 1 (n = 9/54/55), POD 3 (n = 10/40/36), POD 4 (n = 10/20/18), POD 7 (n = 10/19/18); F(10,528) = 2.062, p < 0.0001; surgery: 50% PH vs. 70% PH (&&) padj = 0.0031; POD1: Sham vs. 70% PH (*) padj = 0.0377 and 50% PH vs. 70% PH (&) padj = 0.0299; POD3: Sham vs. 50% PH (#) padj = 0.0169; Sham vs. 70% PH (****) padj < 0.0001 and 50% PH vs. 70% PH (&) padj = 0.0273; POD4: Sham vs. 50% PH (#) padj = 0.0137 and Sham vs. 70% PH (****) padj < 0.0001. (B) Standardization of FCM levels (μg/g feces) in relation to liver weight (calculated by BW-LW-ratio) at POD1; sample sizes: Sham n = 9, 50% PH n = 54, 70% PH n = 55. For liver weight, a value of 4.15% of total body weight was calculated (own data). Data were checked for normality and homoscedasticity using the Shapiro–Wilk and the Levene test. Owing to the observed variance between groups (p = 0.007), the non-parametric Kruskal-Wallis test was used (χ2 = 20.9, df = 2, p < 0.0001). The observed between-group differences were analyzed using the Dunn’s post-hoc test and the false-discovery rate for multiple tests was controlled using the Benjamini-Hochberg criterion. Significant differences were found between the 50% and the 70% PH group (Z = -3.727, padj = 0.0006) as well as between the 70% PH and the Sham group (Z = 3.541, pad = 0.0006).

We performed a Principal Component Analysis (PCA) to investigate whether the above-mentioned parameters (body weight, severity score, OF distance, velocity, unsupported rearing, and FCMs) were influenced by variance. The three OF parameters were found to be the main contributors to the total variance representation in the first dimension. Therefore, these are relevant in all three study groups (Fig 7).

Fig 7. Principal Component Analysis (PCA) of the Sham, 50% and 70% PH groups.

Fig 7

(A) Projection of individual treatment groups into the two-dimensional PCA factor space; group centroids are characterized by the 95% confidence ellipses. (B) Variance contributions of factors in percentage in the first and (C) second dimensions. BW, body weight; FCMs, fecal corticosterone metabolites (μg/g); OF, Open Field; OF RearingUnsupp, rearing unsupported; the dashed line shows the cut-off for the uniform variance distribution.

Measurement of serum parameters and blood cell counts

Serum levels of ALT and AST (Fig 8), as well as LDH (data available in the online repository), were analyzed. All groups showed a nearly identical trend of change in liver enzyme levels. In all groups, all parameters showed a significant increase on POD1 and returned to baseline level latest by POD7.

Fig 8. Serum measurements.

Fig 8

Boxplots of serum (A) alanine aminotransferase (ALT) and (B) aspartate aminotransferase (AST) levels (U/L) showing group-individual values in group comparisons (Sham, 50% PH, 70% PH); Sham: TI (n = 9), laparotomy (n = 10), eutha POD 7 (n = 10); 50% PH: TI (n = 12), liver resection (n = 63), eutha POD 1 (n = 21), eutha POD 3 (n = 21), eutha POD 7 (n = 21); 70% PH: TI (n = 12), liver resection (n = 61), eutha POD 1 (n = 18), eutha POD 3 (n = 20), eutha POD 7 (n = 18); ALT: one-way ANOVA F(12,277) = 54.71, p < 0.0001; POD1: 50% PH vs. 70% PH (&&&&) padj < 0.0001. AST: one-way ANOVA F(12,276) = 26.05, p < 0.0001; POD1: 50% PH vs. 70% PH (&&&&) padj < 0.0001.

Metamizole is known to cause agranulocytosis in patients [18], which we could not confirm in our animals. To identify and verify metamizole-dependent changes, which could have an impact on severity grades, the blood cell counts were assessed. On the evaluation of blood cell counts, significant between-group differences were observed only with respect to platelet and leucocyte counts. For leucocytes, mild differences were detected between 50% PH and 70% PH groups on POD1 (p < 0.05) and POD3 (p < 0.01). Platelet counts differed significantly between 50% PH and 70% PH on POD1 (p < 0.01) and highly significantly on POD3 (p < 0.0001); on POD7, platelet counts differed significantly between the Sham and 70% PH groups (p < 0.05). Leucocyte and platelet counts showed a similar trend in the different groups (data available in the online repository).

We also performed PCA to demonstrate the relevance of group comparisons of serum parameters (i.e., ALT, AST, and LDH) as well as blood cell counts (red blood cells, RBC; white blood cells, WBC; lymphocytes). The results showed that the analyzed blood counts at the different euthanasia time-points (POD1, POD3, and POD7) (Fig 9A) were distinguishable both in terms of their level and group membership (50% PH vs. 70% PH) (Fig 9B). Further, the liver enzymes (ALT, AST, and LDH) and differential segmented granulocytes were the four main contributors to the observed variance in both PH groups (Fig 9C).

Fig 9. Principal Component Analysis of blood and serum parameters of 50% and 70% PH groups.

Fig 9

(A) Projection of individual euthanasia time-points (POD1, POD3. or POD7) into the two-dimensional PCA factor space; group centroids are characterized by the 95% confidence ellipses. (B) Projection of the two different treatment groups (50% PH and 70% PH) into the two-dimensional PCA factor space; group centroids are characterized by the 95% confidence ellipses. (C) Variance contributions of factors in % in the first and (D) second dimensions. AST, alanine aminotransferase; ALT, aspartate aminotransferase; Baso, basophils; BW, body weight; Eos, eosinophils; Gluc, glucose; HGB, hemoglobin; LDH, lactate dehydrogenase; Leuko, leukocyte count; PLT, platelets; RBC, red blood cell counts; the dashed line shows the cut-off for the uniform variance distribution.

Telemetric data acquisition

Telemetry data were collected and evaluated during the postoperative phase, both overnight and during the 10-minute observation in the OF. With PCA, we examined the contributions of each variable to the two shown dimensions. Here, we compared the information contribution of telemetric data during OF testing, with the parameters “distance” and “unsupported rearing” of the OF test itself and the latest body weight. In comparison, telemetric data and body weight were found less relevant than OF parameters (Fig 10B and 10D). Furthermore, a general difference between the two treatments (50% PH and 70% PH) could be detected, both in daily comparisons of the measured heart rates of the animals in each group (Fig 10A and 10C) as well as in direct group comparisons (Fig 11A). Both groups showed changes along a horizontal axis over time. While the 50% PH group even exceeded the basal value on POD7, the 70% PH group did not return to their initial values by the end of the experiment.

Fig 10. Principal Component Analysis of telemetric data including body weight, telemetric data, and OF parameters in the 50% PH and 70% PH groups.

Fig 10

(A) Projection of different test time-points (baseline, POD1, POD3, POD4, and POD7) of 50% PH group into the two-dimensional PCA factor space; group centroids are characterized by the 95% confidence ellipses. Variance contributions of factors (A) in % in the first (B) and second (C) dimensions. (D) Projection of different test time-points (baseline, POD1, POD3, POD4, and POD7) of 70% PH group into the two-dimensional PCA factor space; group centroids are characterized by the 95% confidence ellipses. Variance contributions of factors (C) in % in the first (E) and second (F) dimensions. BP, blood pressure; BW, body weight; HR, heart rate; OF, Open Field; the dashed line shows the cut-off for the uniform variance distribution.

Fig 11. Principal Component Analysis of telemetric data of 50% and 70% PH groups.

Fig 11

(A) Projection of the two different treatment groups (50% PH and 70% PH) into the two-dimensional PCA factor space; group centroids are characterized by the 95% confidence ellipses. (B) Boxplots of mean heart rates (HR) in overnight measurements for each POD and PH group (50% PH vs. 70% PH); no significant differences between treatments were found. Significant differences of PODs to baseline in the PH groups (Dunnett’s test); 50% PH: POD2 vs. baseline padj = 0.0393; 70% PH: POD3 vs. baseline padj = 0.0001; POD4 vs. baseline padj = 0.0177 and POD7 vs. baseline padj = 0.0195. Note, that the first post-surgical measurement was obtained from POD1 to POD2. (C) Boxplots of heart rates during the Open Field (HR OF) tests for each POD and PH group (50% PH vs. 70% PH); no significant differences between treatments were found. Significant differences of PODs to baseline in the PH groups (Dunnett’s test); 70% PH: POD1 vs. baseline padj < 0.0001.

In the overnight measurements (HR ON; Fig 11B), the lowest mean heart rate (HR) in 50% PH was found on POD2, whereas in the 70% PH group, the lowest mean HR was observed on POD3. The median HR in both groups did not return to baseline by the end of the study. The lowest HR in the OF (HR OF; Fig 11C) in both PH groups was observed on POD1, which returned to and exceeded the respective initial values by POD7.

Discussion

Annexure VIII of the EU Directive 2010/63 classifies intervention-related degrees of severity in laboratory animals as “mild,” “moderate,” and “severe” [1]. Surgical interventions are defined as more than punctiform incision of the skin. Therefore, surgical interventions are generally classified as “moderate,” as far as they qualify the following criteria: “surgery under general anesthesia and appropriate analgesia associated with post-surgical pain, suffering or impairment of general condition”. However, this definition does not provide further gradual differentiation of surgical interventions with regard to their potential impact on the whole organism. For example, whether the removal of 50% or 70% of the liver tissue is associated with a greater severity for the test animal as compared to that associated with a mere opening of the abdominal cavity (laparotomy) or complete organ transplantation is not clear. Furthermore, the classification does not take into account the progression of the postoperative recovery phase. What is evident, however, is that the severity of an animal that dies unexpectedly during its experiments succumbs to the consequences of its treatments, or reaches humane endpoints must always be classified as "severe" unless the opposite can be verified. For example, studies have shown that, depending on the extent of resection, the effect of liver resection may range from minimal effects to severe impairment of organ function [1921]. The objective of this study was to assess the extent to which these subtle differences in postoperative severity can be determined using common, objective assessment methods. A further aim was to examine whether it is possible to differentiate between the effect of different surgeries. For this purpose, we investigated various biomarkers, physiological and clinical parameters, and behavioral tests. A novel multimodal approach was used for assessing the influence of severity in three different study groups.

Within the first three days after liver resection, the organism responds to tissue loss [19, 2224]. During this period, the focus is on restoring the original organ size and function. In rodents, this healing process takes 7–10 days on average, depending on the amount of tissue resected [19, 21, 24]. The results of our study are consistent with these facts. In our study, all animals included achieved and exceeded their baseline body weight by the completion of the study (Fig 3); these findings are consistent with those reported by Fujino et al. in a similar mice model [24]. In addition, evaluation of liver weight (data available in the online repository) demonstrated that all residual liver lobes harvested had regained the initial organ weight on POD7. The surgical procedure and the tissue loss affect the body weight of the animal and blood parameters [24, 25] in addition to causing wound pain [2629]. While surgical interventions can lead to inflammation and thus to changes in the white blood cell counts, bleeding that may be caused by liver resection, can lead to changes in the red blood cell counts. These negative influences induce distress and severity for the entire organism [30, 31]. The use of additional objective assessment parameters helped confirm our results. All three test groups exhibited an immediate increase in postoperative severity (severity score, body weight change, OF, and FCMs) with subtile variations. Furthermore, this was supported by the results of AST, ALT, and telemetric data analysis in the PH groups. However, these data are not available for the Sham group to confirm the results. On the evaluation of the individual score parameters, the assessment point “wound healing” showed the highest influence in all groups besides the body weight change. In particular, the independent removal of individual knots from the wound suture with subsequent reddening of the wound caused higher scores on POD4 and POD5 in animals of the Sham group. On the other hand, the removal of sutures within the PH groups sometimes even caused suture dehiscence, which led to higher score points (>10 points) (Fig 4). Although, data of re-sutured animals were included in the analysis, we think that wound healing disorders and surgery-related complications are a physiological bias to a certain extent, which should not be excluded. Even under the impact of these data (9 out of 136 included animals, ≤ 7%), the severity grades were evaluated as mild to moderate.

The OF test is commonly used in the field of neuroscience research; however, its use for assessment of severity based on the voluntary willingness to move after visceral surgery is still quite new. This is reflected in the lack of contemporary literature pertaining to the specific model and setup used in our study. However, this method is often used to test behavioral changes [32, 33] induced by mood-or anxiety-modifying substances [3436] and emotional state [37]. It is also used to test the intrinsic motivation to flight from predisposed areas despite pain [3840]. Common to all these disease models is the fact that OF parameters can be used to measure these behavioral changes and thus enable conclusions about severity. This makes it a versatile and sensitive method not only in rat models [4143].

In a previous study, we reported laparotomy-induced changes in moving activities of rats in the OF test [6]. The results demonstrated that animals show less activity with increasing distress or pain. These findings are consistent with the results shown here (Fig 5). Furthermore, PCA showed that the OF parameters (distance, velocity, and unsupported rearing) were more affected than the other parameters such as body weight, severity score, and FCMs (Fig 7) as well as telemetric data (Fig 10).

The liver plays an important role in corticosterone metabolism. Therefore, the availability of functional liver tissue is a key determinant of FCM level, as the corticosterone metabolites are secreted into the intestine via the bile [15]. The higher FCM values in the Sham group compared to the PH groups may be attributable to the uncompromised liver function in the former (Fig 6). However, the relationship between blood corticosterone and FCM levels is not well characterized. Moreover, the extent to which FCMs are affected by liver function is not clear. Owing to the time delay in the excretion of corticosterone metabolites via the feces, the changes in this parameter are displayed on the following day. Therefore, the surgery-induced high-stress levels of the animals are first reflected in the FCM values at POD1. In contrast, the reduced liver tissue of the PH groups may have resulted in significantly lower FCM values at POD3, POD4, and POD7 (Fig 6A). The standardization of FCM levels based on body weight-to-liver weight ratio of 4.15% allows the comparison of severity levels between laparotomy and liver resection (Fig 6B) on POD1. It is appropriate to adjust this ratio in relation to liver weight proliferation. Thus, liver resection represents a higher severity than laparotomy. Here, it cannot be differentiated unambiguously whether the animals of the PH groups experienced less stress at these times or whether the decreased FCM levels were attributable to reduced liver metabolism and changes in bile acid concentration or its composition [44]. The extent to which these factors affect the measured FCM levels is not clear at present. However, animals of the Sham group showed no signs of stress at the end of the study. In all experimental groups, levels of both FCMs (Fig 6) and liver-specific enzymes (Figs 8 and 9) on POD7 were close to the respective baseline levels.

Telemetry has been used to determine and evaluate physiological data after surgical interventions [28, 45, 46]. In this study, we used telemetry data pertaining to the 10-minute OF test as well as the activity phase (overnight) (Fig 11). We did not evaluate the internal body temperature as it is liable to be influenced by extraneous factors (subcutaneous position of the device and group housing). In addition, we did not analyze the data pertaining to the night after the abdominal surgery, as the effects of anesthesia may have biased the results. We assessed the influence of liver resection in both groups via the telemetric parameter “HR” during the short OF phase and overnight (Fig 11). No other studies have investigated changes in OF or telemetric data in response to liver resection in rats. In our study, both PH groups showed a reduction in HR in the postoperative phase. An initial increase in HR in response to the intraoperative blood loss and the drop in blood pressure should be expected. In addition, increased HR is also expected in the further postoperative course due to wound healing and handling stress. However, this increase was not evident in both groups until POD3. Only the HRs during OF were above the baseline levels until the end of the study, in contrast to overnight levels. This leads to the assumption that, on average, the animals remain hypoactive overnight, which resulted in a lower heart rate as compared to the baseline level. In summary, however, the results of PCA showed that the OF parameters “distance” and “unsupported rearing” provided more additional information compared to telemetric data or body weight (Fig 10). In the first dimension, the OF parameter “distance and unsupported rearing” showed a greater influence on the overall variance than the body weight. While the parameters of telemetry and OF represent short-term changes in the OF test, the body weight does not change much during this time. Therefore, its contribution to the variance is low. Beyond this, we did not include the additional OF parameter “velocity” in the PCA, because of its similarity to “distance” (Fig 5). Rather, we believe that unsupported rearing is affected by abdominal surgery and, therefore, it provides an additional perspective to stress assessment.

Conclusion

The prognostic severity grading of this study was classified as “moderate” according to Annex VIII of the EU Directive 2010/63. However, based on our findings, a subtle distinction can be made between the surgical procedures performed. The parameters body weight and severity score only indicated mild to moderate severity in the Sham and PH50 groups, which recovered after 3–4 days. However, in the PH70 group, the exposure appeared to be “moderate” and the animals required a longer time to reach the initial values (POD5 and POD6). The additionally evaluated objective assessment parameters (FCMs, OF distance, velocity and unsupported rearing, HR, blood pressure) indicate that the exposures after Sham and 50% PH require up to 7 days of reconvalescence; however, for the 70% PH group, the assessment period was not sufficient to return to basal values. In this case, a longer reconvalescence period is recommended. Furthermore, we were able to demonstrate that the OF test is the most sensitive method to assess severity in the animals, within 10 minutes of observation time. However, the extent to which the choice of the rat strain and the sex of the animals influenced the severity is open to question. In addition, future studies should compare the severity of organ transplantation with that of the models presented here, although all these interventions are rated as “moderate”. Nevertheless, for the animals that died due to unknown reasons before the end of the study, the severity grade still has to be classified as "severe".

Further, the effect of change in analgesic regimen on postoperative severity should also be investigated. The development of reliable methods for the assessment of the long-term welfare of laboratory animals is a key imperative. Identification of valid, model-specific parameters that can determine individual severity levels in the animal is an important step to achieve this goal. The use of multimodal, objective parameters that can be measured with the least invasive methods offer a distinct advantage in this respect.

Supporting information

S1 File. Score sheet.

Experiment-specific score sheet for daily severity assessment according to Morton DB et al.

(PDF)

S1 Checklist

(PDF)

Acknowledgments

The authors are grateful to Mareike Schulz, Pascal Paschenda, Stefan Bruch, and Dr. Yuuki Masano for skillful technical assistance and Edith Klobetz-Rassam for FCM analysis.

Data Availability

All addition data refered to in the manuscript, are available from the online data repository Zenodo: https://doi.org/10.5281/zenodo.3842977 or https://zenodo.org/record/3842977.

Funding Statement

RT funded by Deutsche Forschungsgemeinschaft, TO 542/5-1 (https://www.dfg.de/gefoerderte_projekte/programme_und_projekte/listen/projektdetails/index.jsp?id=321137804). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Pavel Strnad

20 Apr 2021

PONE-D-21-06410

Assessing the severity of laparotomy and partial hepatectomy in male rats – a multimodal approach

PLOS ONE

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: The authors present very interesting data on the highly important subject of severity assessment in animal research. This topic frequently is based on subjective criteria and empirical knowledge. However, authorities, animal welfare officers or designated veterinarians as well as researchers need scientific-based methods to assess severity in different animal models. This paper significantly contributes to the literature on this subject.

The authors should address the following minor points of criticism in order to enable to readers to fully interpret the presented results.

Abstract:

� The authors are summarizing the heart rate (HR) and blood pressure (BP) data as telemetric data. However, it is also possible to determine activity by telemetry. They should therefore specify in relevant parts of their manuscript (like abstract) which data (HR and BP) have been determined telemetrically.

Introduction:

� Line 39: The authors should mention that severity categorization has a prospective and retrospective component.

� Fig 1: the authors should re-consider whether Fig 1 is necessary at all. It does not contribute to the manuscript in as significant way.

� Line 71 to 75: The authors state that “behavioral testing was used to evaluate the distress, pain, and the affective internal state” while also saying that “Here, the OF test was used to evaluate the spontaneous locomotor behavior and voluntary willingness to move…”. These two statements sound contradictory as assessment of distress, pain and affective state regularly contain far more parameters than only parameters of activity. This should be rephrased.

Material and Methods:

� Lines 83 to 86 and lines 101 to 104 contain the same contents. Please delete one version.

� Line 126: authors state in legend of Fig 2. that 4 animals per PH group were implanted with transmitters. In Table 1. it says 12 animals. Please clarify and correct if necessary.

� Line 133: Authors state that postoperative scoring is done 3 times a day from POD 1 to POD3. This raises the question about the resulting data as presented in Fig. 5. Do the data as presented for POD1, POD2 and POD3 in Fig 5 represent a single daily observation or mean values of all three observations.

� In the OF test is unclear which measurements have been used as baseline? In line 257 it is stated that the values of D18 and D19 have been averaged for baseline. However, this obviously is an error. We assume that the authors probably meant days D-18 and D-19. If so, the baseline value D-19 must be included in Fig 2. Have the animals been filmed from above for OF? This important information should be added. Further, the authors should explain why they have chosen unsupported rearing in contrast to supported rearing? Have they expected this parameter to have a special value for their results? They should address this briefly in the discussion.

� Severity Scoring: The modified severity scoring should be described in more detail. It is unclear how this scoring was composed exactly and which score (in points) was given for the various findings. Maybe there was a scoresheet, which could be added to the manuscript as supplementary material? It is for example unclear, what was included in assessment of “4) surgical procedure and wound healing” and which scores have been assigned to a bleeding wound/dehiscence. It is further of relevance, where scoring took place (in the home cage?).

� Line 207: The authors should describe in the “Materials Section” which body weights were used as base line. In line 271 of the “Results Section” it is mentioned that the post-surgical body weights have been used for this purpose. In this context we also ask ourselves why the authors did not use the pre-surgical body weights as baseline. This would have excluded the possibility that the body weights had been influenced by surgery.

� Line 209: Did single suture dehiscence occur? If so, how often and how was this handled? Was additional anesthesia necessary in these cases?

� Blood parameters: Could the authors explain why blood parameters were assessed at all? What was the background for using these parameters?

� FCMs: The authors only present fecal corticosterone metabolites in their study. However, in line 220 they also mention that corticosterone had been determined in the serum. Could the authors please check this.

� Telemetric data: In line 236 the abbreviation “HR” is mentioned for the first time without providing the complete term. Further, the authors should explain in which intervals/bins the blood pressure was assessed during telemetric assessment.

� In Line 253 the abbreviation “PCA” is mentioned for the first time, but without providing the complete term.,

� According to line 260 the samples which have been collected during second surgery (PH or sham) have been used as baseline of FCMs. However, in Fig 7 the authors present data for a “baseline” and “surgery” value. The authors should make clear which value has been used as baseline.

� The sentence part in line 343 "were influenced by variance" does not make sense, neither does "Therefore, these are relevant in all three study groups" in line 345. The authors should explain/reformulate. By our understanding, the variance explanation percentage of the factors only measures how many variables can be represented by each factor and how well. It does not measure how relevant the contributing variables are. You can however conclude how relevant the different factors (i.e. all contributing variables together) are in regard to differentiating between groups by observing the actual graphs.

� In general: Have the researchers been blinded to the animal’s treatment? This seems especially important for severity scoring.

Results:

� In general: The authors should try to show significant p values for group differences as outlined in the legends of Figures 4, 5, 7, 9, and 10 in the respective Figures themselves. This would help the reader to understand the complex data.

� In figures 8, 10, and 11 the authors plot two PCA dimensions each, but only show which variables contribute to dimension 1. Which variables contribute to the second one?

� Animal/sample numbers included in each parameter should be stated in the respective legend.

� In line 247 the authors mention that statistical anlyses have been performed to compare their data with the baselines. However, no results of these analyses are presented in the manuscript.

� Line 286: I would suggest to write “end of study” instead of “endpoint”. The difference between study end and humane endpoint becomes clearer this way.

� Line 291: The authors describe that 2 animals of the 70% PH group died in the nights between POD1 and POD3 for unknown reasons. The EU working document on a severity assessment framework reads „The actual severity for animals found dead should be reported as 'severe' unless an informed decision can be made that the animal did not experience severe suffering prior to death“. The authors should discuss their decision to categorize PH70% as a manipulation of moderate severity (which is indeed supported by the reviewers) under the aspect of the two animals which were found dead, in particular as the cause of death was unknown. Was data from these animals excluded from the study?

� Legend of Fig 7B: It should be mentioned that the data shown refer to POD1.

� Fig. 8: What is the dashed line in Fig 8B? This should be described in all Figures with PCA containing such a line.

Discussion:

� Line 457f: The authors state that “all three groups exhibited an immediate increase in postoperative severity”. This statement should be re-considered for the following reasons:

o No telemetric data are available for the sham group

o No ALT and AST values are available for the sham group for the critical test day POD1.

o The severity score of the sham group does not seem to be increased on POD1, POD2, and POD3.

� Line 459: The results on severity scoring discussed in this paragraph are hard to interpret as the composition of the score is not described properly before. If the score is influenced heavily by wound healing parameters, one must ask if the resulting scoring really justifies to draw conclusions about mild/moderate/severe severity from that score as found in figure 5. Maybe the authors could discuss if the used severity score in fact presents overall burden on the animal due to general anesthesia and surgery or if the big influence of the category wound healing is leading to a wrong classification in higher severity grades.

� Line 524f: Could the authors explain why they consider the unsupported rearing as additional perspective to stress assessment? They mentioned that it is affected by abdominal surgery meaning that it is decreased post op. Is it therefore not rather a parameter potentially indicating abdominal pain or discomfort? Do the authors know of results in rearing behavior in anesthetized/untreated rats to distinguish between the effects of pain vs. effects of anesthesia or handling? One could ask if the applied analgesic regimen is sufficient for the described laparotomy. Maybe the authors could briefly discuss this point.

Reviewer #2: The article written by Zieglowski et al. tackles the question of surgical severity following partial hepatectomy in rats. It is clear and well written. Here are a few comments and questions raised that need to be answered in order to improve the quality of the paper and make it accepted for publication.

* the use of metamizole as analgesics is good for visceral considerations but does not sound to be sufficient. Why not using opioids in order to improve analgesia ? Moreover length of analgesia by metamizole is short since only one administration is performed (or until POD3, not clear, line 190 ?), which means there is no more pain after 12-24 hours. Why not carrying on 2 to 3 days post-surgery ?

* why are only male rats used ? What is the explanation ?

* is it really useful to use antbiotics for such a surgery ? If yes, is it really useful to use a 2nd/3rd generation of antibiotics ?

* line 177: could you precise the exact percentage of liver withdrawn ? LLL + CL + ML make 78 % (not 70 %). Same for 50 %: it is not clear.

* line 458: typo (subtle)

* why do you use FCM and not blood corticoide levels ? the explanation given in the discussion should be clarified.

* could you precise the exact interest of telemetry in your experiences ?

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Reviewer #1: No

Reviewer #2: Yes: Dr. Thomas HUBERT, Ass Prof in Surgery, DVM, PhD, Dip Vet LAS

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PLoS One. 2021 Aug 2;16(8):e0255175. doi: 10.1371/journal.pone.0255175.r002

Author response to Decision Letter 0


2 Jun 2021

Dear Madam/Sir:

First of all we would like to thank the Editors and the Reviewers for their valuable input and their pro bono work.

We tried to meet the suggestions of the reviewers and hope that this improved the quality of our manuscript, accordingly. In addition, our response to the individual comments of the reviewers are provided in this point-to-point response letter.

Referee(s)' Comments to Author:

Reviewer #1:

Abstract: The authors are summarizing the heart rate (HR) and blood pressure (BP) data as telemetric data. However, it is also possible to determine activity by telemetry. They should therefore specify in relevant parts of their manuscript (like abstract) which data (HR and BP) have been determined telemetrically.

We thank you for addressing this point and we revised the text. We hope that the additional information, especially in the abstract, contributes to specify the relevant parameters and approaches of the manuscript.

Please see the revised abstract in line 26 – 31:

“… Post-surgical severity assessment was performed via several multimodal assessment tools: I) model-specific score sheet focusing on body weight, general condition, spontaneous behavior and the animals willingness to move as well as on wound healing; II) Open Field tests evaluating the total distance and velocity an animal moved within 10 minutes and its rearing behavior during the test; III) telemetric data analysing heart rate and blood pressure; and IV) analysis of blood (AST, ALT and hemogram) and fecal samples (fecal corticosterone metabolites). …”

Introduction: Line 39: The authors should mention that severity categorization has a prospective and retrospective component.

We thank you for this supplementary aspect and have added it to line 44 of the revised manuscript.

“All scientific research projects are currently required to categorize the expected and the retrospective actual degree of severity … ”

Fig 1: the authors should re-consider whether Fig 1 is necessary at all. It does not contribute to the manuscript in as significant way.

We thank you for this constructive advice and are glad that we were able to describe the interaction of the multimodal approach of severity assessment sufficiently already in the text. We have therefore deleted Figure 1 from the manuscript and lined up all other figures.

Line 71 to 75: The authors state that “behavioral testing was used to evaluate the distress, pain, and the affective internal state” while also saying that “Here, the OF test was used to evaluate the spontaneous locomotor behavior and voluntary willingness to move…”. These two statements sound contradictory as assessment of distress, pain and affective state regularly contain far more parameters than only parameters of activity. This should be rephrased.

You are right, that the test method “Open Field” alone is not able to detect and measure "distress", "pain" and "affective internal state" in rats. Moreover, this test is one of our multimodal approach for severity assessment in this study (telemetry, blood parameter measurement, FCMs, etc.). Here, our approach is to determine whether these negative impact factors (e.g., laparotomy, partial hepatectomy) also have an influence on the spontaneous willingness to move and the spontaneous locomotor behaviour of the animals in their Open Field performance. Therefore, we tried to determine, measure and also evaluate the assessed parameters of this test method, according to the results of our pilot study , in this more invasive experiment.

To describe this clear, we deleted the first part of this statement (former line 71). The revised part of the text reads as follows (line 77 -82):

“… As a further method, behavioral testing via the OF test was used to assess postoperative severity in this surgical model involving the use of living animals as described elsewhere [3]. Here, the focus was set on the evaluation of spontaneous locomotor behavior and voluntary willingness to move as indices of surgery-related severity in the animal.”

Material and Methods: Lines 83 to 86 and lines 101 to 104 contain the same contents. Please delete one version.

Thank you for your comment. As suggested, we deleted the redundant section in lines 108 - 111 in the revised manuscript.

Line 126: authors state in legend of Fig 2. that 4 animals per PH group were implanted with transmitters. In Table 1. it says 12 animals. Please clarify and correct if necessary.

We thank you for the corrective note. We have revised the number of animals in the legend of figure 1 (former Fig 2). The number of animals from each 7-day survival group is still n = 12.

Line 133: Authors state that postoperative scoring is done 3 times a day from POD 1 to POD3. This raises the question about the resulting data as presented in Fig. 5. Do the data as presented for POD1, POD2 and POD3 in Fig 5 represent a single daily observation or mean values of all three observations.

We apologize for the misleading description. Yes, due to the more frequent examinations within the first three post-surgical days (3 scorings per day for POD 1 - POD 3), these boxplots of figure 4 (former figure 5) contain all the corresponding individual values. Same was done with the single values of the following days scores (POD 4 - POD 7), with only one scoring per day. Therefore, the boxplots do not show mean values, but the distribution of the individual values and the corresponding median of each POD.

To clarify this, we have added a supplementary paragraph in line 231 - 232 of the revised manuscript:

“For statistical analysis, the individual scores on each POD were shown as boxplots.”

In the OF test is unclear which measurements have been used as baseline? In line 257 it is stated that the values of D18 and D19 have been averaged for baseline. However, this obviously is an error. We assume that the authors probably meant days D-18 and D-19. If so, the baseline value D-19 must be included in Fig 2. Have the animals been filmed from above for OF? This important information should be added. Further, the authors should explain why they have chosen unsupported rearing in contrast to supported rearing? Have they expected this parameter to have a special value for their results? They should address this briefly in the discussion.

We thank you for this constructive advice and apologize for the unclear statement. To clarify, it must be said that the baseline of our study is the second repetition (2nd re-training) on day D-1. Here, D18 and D19 do not exist because the study only runs up to D7 (= POD7). Day D-18 corresponds to the 2nd training (2nd re-training) and since the animals are still habituating at this point, this was not set as baseline. We have therefore corrected the text and changed it to D-2 and D-1 to make it clearer that the re-trainings (prior to abdominal surgery) are the baseline. Please see orange ring in figure 1 (former figure 2), here, as an aid for better visualization:

Therefore, please refer to line 285 of the revised manuscript.

We added the information, that the video tracking was performed from above in line 150 of the revised manuscript.

Yes, we hypothesized that due to the laparotomy of the surgery, the animals might have more difficulties or even pain during unsupported rearing than with assistance of the Open Fields wall sides. This can be observed in patients in human medicine, too, as the abdominal muscle layer is impaired by the surgery leading to avoidance of unsupported rising.

The analysis of supported and unsupported rearing behavior in our study showed, that the supported rearing behavior was less affected due to the abdominal surgery, than the unsupported rearing. Again, we made the comparison between the PH groups and the SHAM group. The normalization of the depicted values to % was based on animal individual differences within the groups.

Although there were no significant differences in unsupported rearing between the PH and SHAM groups at the different PODs (figure 6 of first manuscript version); they were found within the groups compared to their baselines. This allows the assumption that the animals are impaired by the abdominal surgery and that the frequency of unsupported rearing allows conclusions regarding existing severity. Although, in the supported rearing behavior significant changes occurred within the PH50% (POD4) and PH70% (POD1) group (see figure 1 below), the total amount of significances is higher in comparison of unsupported rearing behavior (see figure 2 below). Although in none of the comparisons (figures 1 and 2) the SHAM group showed significant changes to its baselines, however, in figure 2 the PH groups differ several times and significantly from their own baseline values (PH50%: POD1, 3 and 7; PH70%: POD 1).

Figure 1: Comparison of supported rearing behavior (%) in various groups (Sham; 50% PH; 70% PH). Dunnett´s test was used for comparison with baseline; animal numbers of SHAM (baseline to POD 7= 10 rats); animal numbers of PH50% (baseline and POD 1=63, POD 3= 42, POD 4 and POD 7= 21 rats); animal numbers of P70% (baseline= 63, POD 1= 58, POD 3= 37, POD 4 and POD 7= 18 rats).

Figure 2: Comparison of unsupported rearing behavior (%) in various groups (Sham; 50% PH; 70% PH). Dunnett´s test was used for comparison with baseline; animal numbers of SHAM (baseline to POD 7= 10 rats); animal numbers of PH50% (baseline and POD 1=63, POD 3= 42, POD 4 and POD 7= 21 rats); animal numbers of PH70% (baseline= 63, POD 1= 58, POD 3= 37, POD 4 and POD 7= 18 rats).

Severity Scoring: The modified severity scoring should be described in more detail. It is unclear how this scoring was composed exactly and which score (in points) was given for the various findings. Maybe there was a scoresheet, which could be added to the manuscript as supplementary material? It is for example unclear, what was included in assessment of “4) surgical procedure and wound healing” and which scores have been assigned to a bleeding wound/dehiscence. It is further of relevance, where scoring took place (in the home cage?).

We are delighted to comply with your request and have enclosed the score sheet as supplementary material to the manuscript.

Where possible, scoring was carried out first in the home cage (to observe and evaluate the animal without further “external” disturbance) and then by the scorer outside the cage by removal and examination. To clarify this in the text, we added this in line 217 - 218 of the revised manuscript:

“The scoring was carried out in the home cage first, without further interference from outside, hereafter each animal was examined in detail, outside the cage. …”

Line 207: The authors should describe in the “Materials Section” which body weights were used as base line. In line 271 of the “Results Section” it is mentioned that the post-surgical body weights have been used for this purpose. In this context we also ask ourselves why the authors did not use the pre-surgical body weights as baseline. This would have excluded the possibility that the body weights had been influenced by surgery.

We would like to apologize for our unclear wording.

As stated in line 95, animals in an age class of 6-8 weeks and a body weight of 150 – 175 g were purchased for this study from a professional breeder. However, this time of delivery is at least 28 days before the day of liver resection, so the animals will have gained body weight by then. The body weight at the time of the liver resections was between 258g - 415g.

The reason why we used the post-surgical body weight as the baseline value is, that we do know, that the surgery influenced body weights. By resecting 50% or 70% of the liver mass, the body weight of the animals has been reduced by an average of 6.8 g (in 50%PH) or 8.01 g (in 70%PH) liver weight. In order not to assess this bias negatively for the animals in the course of the post-surgical scoring, the weight measured right after the surgery (post-surgical) was set as the baseline value.

Line 209: Did single suture dehiscence occur? If so, how often and how was this handled? Was additional anesthesia necessary in these cases?

Yes, it happened that in animals single stitches of their abdominal sutures opened, but only in the Sham and 70% resection groups.

Here: 1 abdominal suture had to be fixed with wound clips (PH70%); 1 suture had to be re-sutured under general anaesthesia (SHAM group); 6 animals got a hernia of the muscle layer and had to be re-sutured under general anaesthesia (PH70%) out of whom 1 animal had to get its skin suture fixed with a wound clip, afterwards.

Basically, this is how we proceeded: If only the sutures were gnawed, but the wound edges were adapted, nothing was done. If the adaptation of the wound edge was about to loosen, we put a wound clip over the corresponding area to secure it, which was removed again after a few days (as soon as the wound looked healthy).

If this time point could not be determined properly, for example at night, and the skin suture was already open at the next scoring time due to the lack of single knots, the animal was again put under short isoflurane anaesthesia, the wound was cleaned, and re-sutured.

In the case of ruptures of the abdominal muscle layer, but with the skin suture closed, the animal was also put under inhalation anaesthesia, the skin suture re-opened, the abdominal muscles re-sutured and the skin closed as usual.

If this occurred outside the time window covered with painkillers and antibiotics, this was injected accordingly to comply with the protocol.

Blood parameters: Could the authors explain why blood parameters were assessed at all? What was the background for using these parameters? It is known that surgery in general and liver resection in particular, as well as analgesia (metamizole) can have effects on individual blood parameters. While surgical interventions can lead to inflammation and thus to changes in the white blood cell counts, bleeding that may be caused by liver resection can lead to changes in the red blood cell counts.

On the other hand, metamizole is known to cause agranulocytosis in patients 1, which we could not confirm in our animals. In order to identify and verify such changes, which could have an impact on severity grades, the blood cell counts were assessed in this study and presented in the manuscript to complete the data.

FCMs: The authors only present fecal corticosterone metabolites in their study. However, in line 220 they also mention that corticosterone had been determined in the serum. Could the authors please check this. You are right that this data is not presented in the manuscript. This is due to the fact that we had very high expectations for this parameter in the experimental design, but it turned out to be too unreliable for evaluation due to the very short half-life in serum. While significant changes in the FCMs were visible, the blood corticosterone values were often below the measurable threshold (6.1 ng/ml) at the time of the blood samples or the variation was too wide. Therefore, no valid data sets with statistical significance could be generated. For the sake of completeness, however, this was indicated in the text, as the quantities of blood taken must be taken into account as possible factors influencing severity grades.

Telemetric data: In line 236 the abbreviation “HR” is mentioned for the first time without providing the complete term. Further, the authors should explain in which intervals/bins the blood pressure was assessed during telemetric assessment.

We apologize for the incorrect term. We added the missing information in the sentence. Please see the revised version of the manuscript, line 258-260:

“… The parameters evaluated were heart rate (HR) and blood pressure (BP) and values of each measurement time span (OF or overnight) were averaged with a logging rate of 1 minute.”

In Line 253 the abbreviation “PCA” is mentioned for the first time, but without providing the complete term. Here again, we apologize the missing information. We completed the text as followed. Please refer to line 280 - 281 of the revised manuscript:

“ A Principal Component Analysis (PCA) was performed …”

According to line 260 the samples which have been collected during second surgery (PH or sham) have been used as baseline of FCMs. However, in Fig 7 the authors present data for a “baseline” and “surgery” value. The authors should make clear which value has been used as baseline.

We thank you for this helpful comment and apologize for the unclear wording. At this point, FCMs and blood levels are not identical, as they have different baselines. We have therefore revised the sentence and adjusted it accordingly (see lines 287 – 290).

“Baseline values for blood and serum analysis were averaged out of samples obtained during second surgery (Sham or PH). For FCM analysis, values of weaned feces from the second retraining were averaged and used as baselines. …”

The sentence part in line 343 "were influenced by variance" does not make sense, neither does "Therefore, these are relevant in all three study groups" in line 345. The authors should explain/reformulate. By our understanding, the variance explanation percentage of the factors only measures how many variables can be represented by each factor and how well. It does not measure how relevant the contributing variables are. You can however conclude how relevant the different factors (i.e. all contributing variables together) are in regard to differentiating between groups by observing the actual graphs. We performed a Principal Component Analysis (PCA) to investigate how well the above-mentioned parameters (body weight, severity score, OF distance, velocity, unsupported rearing, and FCMs) were represented in, e.g., the first two dimensions. The three OF parameters were found to be the main contributors to the total variance representation of the first dimension (46.1%). Here, the magnitudes of the corresponding values in the eigenvectors indicated that in regard of differentiating between the three treatment groups, they can be considered as the most relevant within that dimension.

In general: Have the researchers been blinded to the animal’s treatment? This seems especially important for severity scoring.

We would like to thank the reviewer to raise this important point. However, due to the size of the working group and the number of surgeries we performed for this study, we were not able to perform the scoring with additional researchers, trained and experienced enough for scoring, blinded to the treatment.

According to our own unpublished data, we analyzed severity scoring as well as the interrater variability of different severity grades of rodents via pictures. The data showed no significances in the evaluation of none or severe severity grades within an inexperienced or experienced rater. Only pictures of animals with mild to moderate experimental affection, seemed to be difficult to rate and to assign the moderate severity grade.

We therefore added a sentence to clarify the possibility of a bias resulting from this issue. Please refer to line 214 – 217 in the revised version:

“…Due to the number of surgeries performed, the member size of the working group and the additional limitation of relying on female-only staff with sufficient expertise, the personnel was not blinded to the animals treatment. …”

Results: In general: The authors should try to show significant p values for group differences as outlined in the legends of Figures 4, 5, 7, 9, and 10 in the respective Figures themselves. This would help the reader to understand the complex data.

We tried to meet your suggestions and included both the significant p values as well as the animal/sample numbers of each parameter in the legends of the figures. We hope, that this does not impair the readability and clarity of the figures.

Here, the following symbols represents the significances between the groups:

# : Sham vs. 50% PH

* : Sham vs. 70% PH

& : 50% vs. 70% PH

Moreover, the quantity of symbols corresponds to the level of significance: # / */ & = p ≤ 0.05 up to ####/ ****/ &&&& = p ≤ 0.0001.

We further added this additional information in the text of the revised manuscript.

See line: 275 – 278.

Please see the following revised Figure 4 (now figure 3):

Fig 3. Comparative body weight change (%) in the three study groups (Sham, 50% PH, 70% PH) during post-surgical phase; animal numbers (Sham/ 50% PH / 70% PH): post-surgery (n = 10/63/59), POD 1 (n = 10/63/59), POD 2 (n = 10/42/39), POD 3 (n = 10/42/38), POD 4 (n = 10/21/18), POD 5 (n = 10/21/18), POD 6 (n = 10/21/18), POD 7 (n = 10/21/18); two-way ANOVA F(14,621) = 4.026, p < 0.0001; POD2: Sham vs. 50% PH (#) padj = 0.0125 and Sham vs. 70% PH (***) padj = 0.0005; POD3: Sham vs. 50% PH (###) padj = 0.0002 and Sham vs. 70% PH (****) padj = < 0.0001; POD4: Sham vs. 70% PH (*) padj = 0.03 and 50% PH vs. 70% PH (&) padj = 0.0313; POD5: Sham vs. 70% PH (**) padj = 0.0072 and 50% PH vs. 70% PH (&&) padj = 0.0011; POD6: Sham vs. 70% PH (*) padj = 0.0105 and 50% PH vs. 70% PH (&&&) padj = 0.0001; POD7: Sham vs. 50% PH (#) padj = 0.0250 and 50% PH vs. 70% PH (&&&&) padj < 0.0001.

Please see the following revised Figure 5 (now figure 4):

Fig 4. Boxplots of severity scores (body weight, general condition, wound healing, and spontaneous locomotor behavior) after Sham or PH with upper limits with a gradual allocation of severity (mild: ≥ 5 points, moderate: ≥ 10 points, and severe: ≥ 20 points); animal numbers (Sham/ 50% PH / 70% PH): POD 1 (n = 10/63/60), POD 2 (n = 10/42/39), POD 3 (n = 10/42/38), POD 4 (n = 10/21/18), POD 5 (n = 10/21/18), POD 6 (n = 10/21/18), POD 7 (n = 10/21/18); Kruskal–Wallis-test (χ2 = 353.3, p < 0.0001, degrees of freedom (df) = 21); POD1: Sham vs. 50% PH (####) and Sham vs. 70% PH (****) padj < 0.0001; POD2: Sham vs. 50% PH (####) and Sham vs. 70% PH (****) padj < 0.0001; POD3: Sham vs. 50% PH (#) padj = 0.0253 and Sham vs. 70% PH (****) padj < 0.0001.

Please see the following revised Figure 7 (now figure 6):

Fig 6. Comparison of fecal corticosterone metabolites (FCMs) in samples weaned during Open Field or during anesthetic induction in various groups. (A) Percentage changes in FCM levels in the three groups over time; sample sizes (Sham/ 50% PH / 70% PH) on each time point: baseline (n = 10/61/62), surgery (n = 10/54/57), POD 1 (n = 9/54/55), POD 3 (n = 10/40/36), POD 4 (n = 10/20/18), POD 7 (n = 10/19/18); F(10,528) = 2.062, p < 0.0001; surgery: 50% PH vs. 70% PH (&&) padj = 0.0031; POD1: Sham vs. 70% PH (*) padj = 0.0377 and 50% PH vs. 70% PH (&) padj = 0.0299; POD3: Sham vs. 50% PH (#) padj = 0.0169; Sham vs. 70% PH (****) padj < 0.0001 and 50% PH vs. 70% PH (&) padj = 0.0273; POD4: Sham vs. 50% PH (#) padj = 0.0137 and Sham vs. 70% PH (****) padj < 0.0001. (B) Standardization of FCMs levels (μg)/g feces in relation to liver weight (calculated by BW-LW-ratio) at POD1; sample sizes: Sham n = 9, 50% PH n = 54, 70% PH n = 55. For liver weight, a value of 4.15% of total body weight was calculated (own data). Data were checked for normality and homoscedasticity using the Shapiro–Wilk and the Levene test. Owing to the observed variance between groups (p = 0.007), the non-parametric Kruskal-Wallis test was used (χ2 = 20.9, df = 2, p < 0.0001). The observed between-group differences were analyzed using the Dunn's post-hoc test and the false-discovery rate for multiple tests was controlled using the Benjamini-Hochberg criterion. Significant differences were found between the 50% and the 70% PH group (Z = -3.727, padj = 0.0006) as well as between the 70% PH and the Sham group (Z = 3.541, padj = 0.0006).

Please see the following revised Figure 9 A (now figure 8 A):

Please see the following revised Figure 9 B (now figure 8 B):

Fig 8. Serum measurements. Boxplots of serum (A) alanine aminotransferase (ALT) and (B) aspartate aminotransferase (AST) levels (U/L) showing group-individual values in group comparisons (Sham, 50% PH, 70% PH); Sham: TI (n = 9), laparotomy (n = 10), eutha POD 7 (n = 10); 50% PH: TI (n = 12), liver resection (n = 63), eutha POD 1 (n = 21), eutha POD 3 (n = 21), eutha POD 7 (n = 21); 70% PH: TI (n = 12), liver resection (n = 61), eutha POD 1 (n = 18), eutha POD 3 (n = 20), eutha POD 7 (n = 18); ALT: one-way ANOVA F(12,277) = 54.71, p < 0.0001; POD1: 50% PH vs. 70% PH (&&&&) padj < 0.0001. AST: one-way ANOVA F(12,276) = 26.05, p < 0.0001; POD1: 50% PH vs. 70% PH (&&&&) padj < 0.0001.

As a PCA, original figure 10 (now figure 9) does not contain any significances that could be transferred to the graph. Therefore, this figure remains unchanged.

In figures 8, 10, and 11 the authors plot two PCA dimensions each, but only show which variables contribute to dimension 1. Which variables contribute to the second one?

We have adjusted the graphics according to your comments and added data for the second dimension. Please see revised figures 8, 10 and 11 as followed:

Line 383 – 387 of the revised manuscript (former figure 8):

“Fig 7. Principal Component Analysis (PCA) of the Sham, 50% and 70% PH groups. (A) Projection of individual treatment groups into the two-dimensional PCA factor space; group centroids are characterized by the 95% confidence ellipses. (B) Variance contributions of factors in percentage in the first and (C) second dimension. BW, body weight; FCMs, fecal corticosterone metabolites (μg/g); OF, Open Field; OF RearingUnsupp, rearing unsupported; dashed line shows the cut-off for the uniform variance distribution.”

Line 419 – 426 of the revised manuscript (former figure 10):

“Fig 9. Principal Component Analysis of blood and serum parameters of 50% and 70% PH groups. (A) Projection of individual euthanasia time-points (POD1, POD3. or POD7) into the two-dimensional PCA factor space; group centroids are characterized by the 95% confidence ellipses. (B) Projection of the two different treatment groups (50% PH and 70% PH) into the two-dimensional PCA factor space; group centroids are characterized by the 95% confidence ellipses. (C) Variance contributions of factors in % in the first and (D) second dimension. AST, alanine aminotransferase; ALT, aspartate aminotransferase; Baso, basophils; BW, body weight; Eos, eosinophils; Gluc, glucose; HGB, hemoglobin; LDH, lactate dehydrogenase; Leuko, leukocyte count; PLT, platelets; RBC, red blood cell counts; dashed line shows the cut-off for the uniform variance distribution.”

Line 441 – 449 of the revised manuscript (former figure 11):

“Fig 10. Principal Component Analysis of telemetric data including body weight, telemetric data, and OF parameters in the 50% PH and 70% PH groups. (A) Projection of different test time-points (baseline, POD1, POD3, POD4, and POD7) of 50% PH group into the two-dimensional PCA factor space; group centroids are characterized by the 95% confidence ellipses. Variance contributions of factors (A) in % in the first (B) and second (C) dimension. (D) Projection of different test time-points (baseline, POD1, POD3, POD4, and POD7) of 70% PH group into the two-dimensional PCA factor space; group centroids are characterized by the 95% confidence ellipses. Variance contributions of factors (C) in % in the first (E) and second (F) dimension. BP, blood pressure; BW, body weight; HR, heart rate; OF, Open Field; dashed line shows the cut-off for the uniform variance distribution.”

Animal/sample numbers included in each parameter should be stated in the respective legend. We comply with your request and have enclosed the missing information about animal numbers and sample sizes in the legend of the respective graphs/figures. To show this as consistently as possible, these are shown in the format "n = Sham/ 50% PH/ 70% PH”.

Therefore, please see revised legends of the figures 4, 5, 7 and 9 :

Former Figure 4:

Fig 3. Comparative body weight change (%) in the three study groups (Sham, 50% PH, 70% PH) during post-surgical phase; animal numbers (Sham/ 50% PH / 70% PH): post-surgery (n = 10/63/59), POD 1 (n = 10/63/59), POD 2 (n = 10/42/39), POD 3 (n = 10/42/38), POD 4 (n = 10/21/18), POD 5 (n = 10/21/18), POD 6 (n = 10/21/18), POD 7 (n = 10/21/18); two-way ANOVA F(14,621) = 4.026, p < 0.0001; POD2: Sham vs. 50% PH padj = 0.0125 and Sham vs. 70% PH padj = 0.0005; POD3: Sham vs. 50% PH padj = 0.0002 and Sham vs. 70% PH padj = < 0.0001; POD4: Sham vs. 70% PH padj = 0.03 and 50% PH vs. 70% PH padj = 0.0313; POD5: Sham vs. 70% PH padj = 0.0072 and 50% PH vs. 70% PH padj = 0.0011; POD6: Sham vs. 70% PH padj = 0.0105 and 50% PH vs. 70% PH padj = 0.0001; POD7: Sham vs. 50% PH padj = 0.0250 and 50% PH vs. 70% PH padj < 0.0001.

Former Figure 5:

Fig 4. Boxplots of severity scores (body weight, general condition, wound healing, and spontaneous locomotor behavior) after Sham or PH with upper limits with a gradual allocation of severity (mild: ≥ 5 points, moderate: ≥ 10 points, and severe: ≥ 20 points); animal numbers (Sham/ 50% PH / 70% PH): POD 1 (n = 10/63/60), POD 2 (n = 10/42/39), POD 3 (n = 10/42/38), POD 4 (n = 10/21/18), POD 5 (n = 10/21/18), POD 6 (n = 10/21/18), POD 7 (n = 10/21/18); Kruskal–Wallis-test (χ2 = 353.3, p < 0.0001, degrees of freedom (df) = 21); POD1: Sham vs. 50% PH and Sham vs. 70% PH padj < 0.0001; POD2: Sham vs. 50% PH and Sham vs. 70% PH padj < 0.0001; POD3: Sham vs. 50% PH padj = 0.0253 and Sham vs. 70% PH padj < 0.0001.

Former Figure 7:

Figure 6: Comparison of fecal corticosterone metabolites (FCMs) in samples weaned during Open Field or during anesthetic induction in various groups. (A) Percentage changes in FCM levels in the three groups over time; sampel sizes (Sham/ 50% PH / 70% PH) on each time point: baseline (n = 10/61/62), surgery (n = 10/54/57), POD 1 (n = 9/54/55), POD 3 (n = 10/40/36), POD 4 (n = 10/20/18), POD 7 (n = 10/19/18); F(10,528) = 2.062, p < 0.0001; surgery: 50% PH vs. 70% PH padj = 0.0031; POD1: Sham vs. 70% PH padj = 0.0377 and 50% PH vs. 70% PH padj = 0.0299; POD3: Sham vs. 50% PH padj = 0.0169; Sham vs. 70% PH padj < 0.0001 and 50% PH vs. 70% PH padj = 0.0273; POD4: Sham vs. 50% PH padj = 0.0137 and Sham vs. 70% PH padj < 0.0001. (B) Standardization of FCMs levels (μg)/g feces in relation to liver weight (calculated by BW-LW-ratio) at POD1; sample sizes: Sham n = 9, 50% PH n = 54, 70% PH n = 55. For liver weight, a value of 4.15% of total body weight was calculated (own data). Data were checked for normality and homoscedasticity using the Shapiro–Wilk and the Levene test. Owing to the observed variance between groups (p = 0.007), the non-parametric Kruskal-Wallis test was used (χ2 = 20.9, df = 2, p < 0.0001). The observed between-group differences were analyzed using the Dunn's post-hoc test and the false-discovery rate for multiple tests was controlled using the Benjamini-Hochberg criterion. Significant differences were found between the 50% and the 70% PH group (Z = -3.727, padj = 0.0006) as well as between the 70% PH and the Sham group (Z = 3.541, padj = 0.0006).

Former Figure 9:

Fig 8. Serum measurements. Boxplots of serum (A) alanine aminotransferase (ALT) and (B) aspartate aminotransferase (AST) levels (U/L) showing group-individual values in group comparisons (Sham, 50% PH, 70% PH); Sham: TI (n = 9), laparotomy (n = 10), eutha POD 7 (n = 10); 50% PH: TI (n = 12), liver resection (n = 63), eutha POD 1 (n = 21), eutha POD 3 (n = 21), eutha POD 7 (n = 21); 70% PH: TI (n = 12), liver resection (n = 61), eutha POD 1 (n = 18), eutha POD 3 (n = 20), eutha POD 7 (n = 18); ALT: one-way ANOVA F(12,277) = 54.71, p < 0.0001; POD1: 50% PH vs. 70% PH padj < 0.0001. AST: one-way ANOVA F(12,276) = 26.05, p < 0.0001; POD1: 50% PH vs. 70% PH padj < 0.0001.

In line 247 the authors mention that statistical analyses have been performed to compare their data with the baselines. However, no results of these analyses are presented in the manuscript. We fully agree that this sentence is superfluous. Of course, we performed the corresponding analysis and evaluations within each group, against its respective baseline, in addition to group comparison. However, many of the parameters are subject to physiological changes that occur in the course of chronical trials. For example, changes in body weight due to growth and gain, and changes in blood count due to liver resection. Since significant changes were determined, which we did expect in one way, but do not provide any added value for the assessment and grading of "moderate" severity grades, these graphs were not shown. Rather, our focus was on examining and reporting gradations and differences within a "moderate" load (represented by the three groups).

In order not to confuse the reader, we have therefore decided to delete the sentence “… Tukey´s and Dunnett´s tests were used for multi-group comparisons (e.g., comparison with Sham group) or comparison with baseline (Dunnett´s). …” (line 247) from the manuscript.

Line 286: I would suggest to write “end of study” instead of “endpoint”. The difference between study end and humane endpoint becomes clearer this way. We are grateful for this hint and changed the wording in the corresponding line 319 of the revised manuscript to:

“… all animals reached the intended end of study; …”

Line 291: The authors describe that 2 animals of the 70% PH group died in the nights between POD1 and POD3 for unknown reasons. The EU working document on a severity assessment framework reads „The actual severity for animals found dead should be reported as 'severe' unless an informed decision can be made that the animal did not experience severe suffering prior to death“. The authors should discuss their decision to categorize PH70% as a manipulation of moderate severity (which is indeed supported by the reviewers) under the aspect of the two animals which were found dead, in particular as the cause of death was unknown. Was data from these animals excluded from the study?

You are absolutely right that the severity in these animals must be classified as "severe", and of course we did this. However, as these animals do not provide a complete set of data and some measurement parameters are falsified (higher severity leading to falsified parameters or values and finally to death), these animals were excluded from the statistical evaluation. This is also evident from the n-numbers given in the legends of the figure (e.g,. new figures 3, 4, or 6).

We have taken your advice into consideration and have added this aspect to the section in the discussion. The new version is as follows:

Line 479 – 481: “… What is evident, however, is that the severity of an animal that dies unexpectedly during its experiments, succumbs to the consequences of its treatments or reaches humane endpoints must always be classified as "severe" unless the opposite can be verified. …”

Line 589 – 590: “… Nevertheless, for the animals that died due to unknown reasons before the end of the study, the severity grade still has to be classified as "severe". …”

Legend of Fig 7B: It should be mentioned that the data shown refer to POD1. We thank you for this hint, improving the manuscripts clarity. We added the time point of POD 1 in the legend of Figure 6B (former figure 7B), accordingly. Please see line 369, of the revised manuscript.

Fig. 8: What is the dashed line in Fig 8B? This should be described in all Figures with PCA containing such a line.

The dashed line in figure 7B (former figure 8B) represents the cut-off for the uniform variance distribution. That means: if they all had the same importance, the parameters would be up to this line. This makes it easier for the reader to interpret whether one variable has more or less "importance" than another, in mean.

We add this information in the legend of the figures in line 387 of the revised manuscript.

Discussion: Line 457f: The authors state that “all three groups exhibited an immediate increase in postoperative severity”. This statement should be re-considered for the following reasons: o No telemetric data are available for the sham group

You are right, the data of SHAM animals are missing. Therefore, we revised the sentence and added the following explanation to the manuscript.

Pease see revised text in line 501-505:

“… All three test groups exhibited an immediate increase in postoperative severity (severity score, body weight change, OF and FCMs) with subtile variations. Further, this was supported by the results of AST, ALT and telemetric data analysis in the PH groups. However, these data are not available for the Sham group to confirm the results. …”

o No ALT and AST values are available for the sham group for the critical test day POD1.

Due to the restriction of our protocol granted by the governmental animal care and use committee in accordance with the 3R principle, the SHAM group we were not allowed to sample and euthanize the animals prior to POD 7. Therefore, no blood, liver weight or organ proliferation/regeneration could be determined at any other POD than POD 7.

o The severity score of the sham group does not seem to be increased on POD1, POD2, and POD3.

You are right. The graph of former figure 5 represents the score values of each group on its respective POD. Upper and lower limits are displayed, as well as the majority distribution of the score points. Thus, the lowest value is always 0 (no severity) and the highest is always a maximum of 20 (human endpoint). Hence, the animals of the SHAM group had a median score of "0" at POD 1-3 and within the group a “standard deviation” of POD 1: 1.5 points, POD 2: 2 points and POD 3: 2 points. However, since the graph always displays the highest measured score value of a group as the "upper limit", and this was 5 points for the SHAM group on all 3 days, the severity level of this group does not seem to change or increase within this time.

Nevertheless, it must be taken into account at this point that the score per se is not sensitive enough to detect the below threshold (very mild severity).

Line 459: The results on severity scoring discussed in this paragraph are hard to interpret as the composition of the score is not described properly before. If the score is influenced heavily by wound healing parameters, one must ask if the resulting scoring really justifies to draw conclusions about mild/moderate/severe severity from that score as found in figure 5. Maybe the authors could discuss if the used severity score in fact presents overall burden on the animal due to general anesthesia and surgery or if the big influence of the category wound healing is leading to a wrong classification in higher severity grades.

You are right that the result here seems difficult to interpret. However, there is no doubt that a liver resection, and thus a visceral surgery performed via laparotomy, is possible without a corresponding abdominal wound. Of course, this always requires post-surgical wound healing. This is therefore indispensable and must be regarded in severity assessment. However, the wound healing is only one parameter out of 4 parameters of the scoring and therefore 25%. Nevertheless, a severe wound healing problem could lead to the humane endpoint. To clarify this in more detail, we gave detailed information about the score in the additional material methods (see supplemental material).

Line 524f: Could the authors explain why they consider the unsupported rearing as additional perspective to stress assessment? They mentioned that it is affected by abdominal surgery meaning that it is decreased post op. Is it therefore not rather a parameter potentially indicating abdominal pain or discomfort? Do the authors know of results in rearing behavior in anesthetized/untreated rats to distinguish between the effects of pain vs. effects of anesthesia or handling? One could ask if the applied analgesic regimen is sufficient for the described laparotomy. Maybe the authors could briefly discuss this point.

We postulate that this parameter is suitable for detecting impairment due to abdominal surgery. It is true that we did not have any anesthesia-only or handling-only animals among the experimental groups to be able to determine an effect in this parameter.

However, a previously published study described that the rearing behaviour is to be interpreted as “normal” influence 2. Here it was reported that the rearing behaviour per se is used as a marker of environmental novelty in unfamiliar surroundings. We therefore base our hypothesis on the assumption that this behaviour, under the influence of the surgery, continues to decrease despite habituation. Apparently, this parameter is negatively influenced by the surgery. Therefore, the counts of rearing behaviour were reduced in favor of remaining on the ground.

Since each animal was already tested for this parameter before laparotomy/liver resection, not only does each animal represent its own baseline, but this can also be seen as an "unaffected" group.

However, to what extent the parameter "unsupported rearing" reacts directly to the liver resection, the laparotomy or even only to the anaesthesia cannot be defined at this point in time. Further studies are needed to evaluate and validate this.

An influence of the parameter by the choice of analgesic and its mode of action is possible, but must also be questioned and checked in subsequent trials.

Reviewer #2:

The use of metamizole as analgesics is good for visceral considerations but does not sound to be sufficient. Why not using opioids in order to improve analgesia? Moreover length of analgesia by metamizole is short since only one administration is performed (or until POD3, not clear, line 190?), which means there is no more pain after 12-24 hours. Why not carrying on 2 to 3 days post-surgery?

We thank the reviewer for this question, as it seems that we have not explained this point clearly enough in the text. We have thoroughly considered the advantages and disadvantages of different analgesia regimes during the experimental design. In the process, we have kept to the recommendations of the GV-Solas for pain therapy in laboratory animals.

The Gesellschaft für Versuchstierkunde / Society of Laboratory Animal Science (GV-SOLAS) is a registered association that is dedicated to the responsible interaction with laboratory animals. It acts as a mediator between animal welfare and research on behalf of humans and animals. In this context, it established a recommendation on pain management in laboratory animals based on German guidelines. 3

So, the reason why we decided against the use of opiates, such as buprenorphine, is due to two main factors. Firstly, we see the sedating effect of opiates as a major influencing factor in the assessment of behavioural experiments. Furthermore, depending on the time of drug administration, these influences sometimes modulate activity in either direction. In addition, opiates often cause undesirable side effects such as pica behaviour in rats.4 This can lead to digestive disorders and even increased wound manipulation (up to wound dehiscence). This would again influence severity assessment and the registered score values.

The use of NSAIDs could also not be implemented due to the experimental investigation of inflammatory parameters.

On the other hand, these side effects do not occur with the use of metamizole.

All animals were therefore injected with Metamizol s.c. prior to surgery. In order to cover the post-surgical need for analgesia and to avoid having to inject the animals several times a day, the medication was administered via sweetened drinking water.

Since the sweetened drinking water was already offered from the time of housing, all animals were familiar with the modified taste, so that water intake was unchanged.

In the afternoon of the third post-surgical day (POD 3), the metamizole-enriched drinking water was replaced with regular sweetened drinking water, so that during the performance of behavioural tests on day 4 (POD 4), all animals were assessed without analgesia.

For clarity, we have therefore added further information in the revised version. Please refer to line 201 – 207 in the revised version:

“Analgesia (metamizole, Novaminsulfon-ratiopharm® 1 g/2 mL; 400 mg/kg/day) was administered subcutaneously prior to each surgery. For post-surgical pain management, metamizole was administered until the late afternoon of the third day after surgery (POD 3), via sweetened drinking water. This should enable an assessment on the morning of the fourth post-surgical day (POD 4), without the influence of analgesic medication.“

Why are only male rats used? What is the explanation?

We apologize that the explanation for the use of male animals was not addressed clearly enough in the text. In a previous systematic review regarding liver resection in the rat model, we were able to point out that male Wistar rats are the most frequently used rat model in this research area. In order to achieve the greatest transferability to the current research area, we have therefore used male animals only in our study.

To state this more clearly in the text, we have already referred to the corresponding reference in line 61 and 65.

See reference 5 of the revised manuscript:

Zieglowski L. Systematic review: Liver resection in rats in animal-based research - does an optimal model exist? M Sc Thesis, RWTH Aachen University 2019 Prospero: CRD42019122598.

However, we are also aware of a gender gap here. Therefore, we performed a further study to investigate the gender effect within this experimental model. Thank you for rising this point.

Is it really useful to use antibiotics for such a surgery? If yes, is it really useful to use a 2nd/3rd generation of antibiotics?

In general, you are right that the precautionary and routine use of antibiotics should be reconsidered and even avoided. As long as sterile work and sterile materials are used, the use of antibiotics is not absolutely necessary.

In our case, however, telemetry transmitters were implanted in some animals, as indicated. These telemetry transmitters were implanted and re-used several times in different animals after thorough cleaning and disinfection. However, as these were not sterilized, we administered an antibiotic treatment covering the animals to prevent wound infections or bacterial transmission. The administered antibiotic is also used in humans for similar indications 5. In order to treat all animals equally in the sense of comparability of the groups, antibiotics were administered to all animals for three postoperative days after surgery.

In the meantime, we have established and published a protocol with which we can re-sterilize already implanted and used single-use transponders via H2O2 gassing 6. We hope that this procedure will make the use of antibiotics no longer necessary.

Line 177: could you precise the exact percentage of liver withdrawn? LLL + CL + ML make 78 % (not 70 %). Same for 50 %: it is not clear.

We would like to point out that we made a mistake in reporting the resected liver lobes in the 70% group, for which we sincerely apologize. We therefore thank you very much for the critical review of the text and the kind advice. For the resection of 70% of the liver weight (marked in purpel), we only resected the left lateral lobe (LLL) and both median lobes (ML) which lead to a total sum of 30%+38% = 68%. For resecting 50% of the liver weight (marked in green), we resected the left lateral lobe (LLL), left part of the medial hepatic lobe (LML), and both caudate lobes (CL), which lead to a total sum of 30%+12%+10% = 52%. (Assuming that the ratio of LML to RML is approximately 1/3 to 2/3).

Liver lobe

Sub lobes

Total liver mass (%) Left lateral lobe (LLL)

- ~30

Median lobes (ML) left median lobe (LML) = ~12

right median lobe (RML) = ~26 ~38

Right liver lobes (RLL)

inferior right lobe (IRL)

superior right lobe (SRL)

~22

Caudate lobes (CL) anterior caudal lobe (ACL) posterior caudal lobe (PCL)

~10

To clarify this to the reader, we deleted the “CL” in line 185 and further added the following supplementary text to line 185 - 189 of the revised manuscript:

“The focus was not to resect the exact amount of 50% or 70% of the liver mass, but rather to find approximate values that at the same time represent a significant difference between the resected groups, which was based on the most frequently used resection models and resected liver lobes, according to Zieglowski et al. 7.”

Furthermore, we revised former figure 3 (now figure 2) according the raised hint:

Fig 2. Short name of individual liver lobes (visceral view); From left to right: native liver (Sham), 50% PH, and 70% PH; resected liver lobes shown in red with resection line in the resection groups.

Line 458: typo (subtle)

We thank you for this advice. Although it is possible to write the word "subtle" as well as "subtile", we have decided to adapt it on the basis of your comment in order not to confuse the reader and to apply a more comprehensible writing style. Please see revised version of the manuscript, line: 503.

Why do you use FCM and not blood corticoide levels? The explanation given in the discussion should be clarified.

We would like to point out that we not only examined FCMs but also blood corticosterone values. This is described in the “Material and Methods” section under " Measurement of FCMs". We agree that this data is not presented in the manuscript. This is due to the fact that we had very high expectations for this parameter in the experimental design, but it turned out to be too unreliable for evaluation. The evaluation of the blood values and data showed that the blood corticosterone levels were too often below the threshold of 6.1 ng/ml, which made it impossible to calculate exact values (even with dilution of the serum). The remaining values that could be measured, however, had such a high variation that a meaningful statistical evaluation was not possible. Therefore, these values were not presented in this manuscript. For the sake of completeness, however, this was indicated in the text, as the quantities of blood taken must be taken into account as possible factors influencing severity grades. However, the raw data are available via the online data repository.

Could you precise the exact interest of telemetry in your experiences?

The main interest of telemetry was to obtain supplementary objective measurement data that could not be obtained without manipulation, and thus without a possible bias of sampling the data. Since we started with this approach only 24 months ago, we could not rely on our own historical values. Therefore, the work presented here is the follow-up study to Zieglowski et al. 2019. When planning the experiments, it was not certain what actual distress or burden the animals would have to face with, and in order to make this as low as possible, but still as evaluable as possible, in the sense of the 3Rs, only 4 of the 7 animals in a 7-day survival group had the telemetry transmitters implanted.

When selecting the transponder model, we chose one that can measure the following parameters: internal body temperature, activity, heart rate and blood pressure. We implanted the transponder in the flank instead of the abdomen in order to avoid falsifying the severity level of the animals by performing a double/second laparotomy.

However, due to the subcutaneous position of the transponder in the flank and the group housing of the animals, the measured values of the internal body temperature could not be determined correctly, as these were changed by the more superficial position lying in contact to each other.

The activity of an animal can also be recorded by the transmitter. Unfortunately, this measurement does not determine the type of movement nor its quality. It only determines counts that are calculated by the distance to the receiver plate. However, as this value is easily affected and biased by group housing, removing for scoring or performing the behavioural test, it was not taken into account in our evaluation.

Thus, only the two parameters heart rate and blood pressure are representative and were evaluated for the analysis and reported in this manuscript.

In long term, it is envisioned to rank the investigated parameters in order to find out which parameters actually have the most expressive power and influence in this set-up. We agree that this is essential to prevent incorrect interpretations. 8.

Whether telemetry will be part of future studies cannot be answered at this stage, but it has been implemented in the context of an all-encompassing and objective data collection.

We hope that our answers meet the reviewers´ expectations and that the revised version is now acceptable for publication in your esteemed journal.

With best regards,

Sincerely,

Rene H. Tolba

Corresponding author

Additional Literature:

1. Jasiecka A, Maślanka T and Jaroszewski JJ. Pharmacological characteristics of metamizole. Polish journal of veterinary sciences. 2014; 17: 207-14.

2. Lever C, Burton S and O'Keefe J. Rearing on hind legs, environmental novelty, and the hippocampal formation. Reviews in the neurosciences. 2006; 17: 111-33.

3. Margarete Arras KB, Alessandra Bergadano, Mattea Durst EE-S, Thea Fleischmann, Jörg Haberstroh PJ, Martin Sager and Claudia Spadavecchia DZ. Fachinformation "Schmerztherapie bei Versuchstieren". Ausschuss für Anästhesie der GV-SOLAS in Zusammenarbeit mit dem Arbeitskreis 4 in der TVT. 07-2020.

4. Clark JA, Jr., Myers PH, Goelz MF, Thigpen JE and Forsythe DB. Pica behavior associated with buprenorphine administration in the rat. Laboratory animal science. 1997; 47: 300-3.

5. AWMF AK-Pd. Leitlinien zur Hygiene in Klinik und Praxis "Perioperative Antibiotikaprophylaxe".

6. Zieglowski L, Kummecke A, Ernst L and Tolba RH. Re-sterilisation of single-use telemetric devices ESR. 2021.

7. Zieglowski L. Systematic review: Liver resection in rats in animal-based research - does an optimal model exist? M Sc Thesis, RWTH Aachen University 2019 Prospero: CRD42019122598.

8. Bruch S, Ernst L, Schulz M, Zieglowski L and Tolba RH. Best variable identification by means of data-mining and cooperative game theory. Journal of biomedical informatics. 2021; 113: 103625.

Attachment

Submitted filename: Response to reviewers_PONE-D-21-06410.pdf

Decision Letter 1

Pavel Strnad

29 Jun 2021

PONE-D-21-06410R1

Assessing the severity of laparotomy and partial hepatectomy in male rats – a multimodal approach

PLOS ONE

Dear Dr. Zieglowski,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

As you can see, the reviewers appreciated the changes that you made and only minor corrections are needed at this step.  

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Kind regards,

Pavel Strnad

Academic Editor

PLOS ONE

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Reviewer #1: (No Response)

Reviewer #2: All comments have been addressed

**********

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Reviewer #2: Yes

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Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: The authors fully adressed all of our questions and remarks. We think that their corrections have significantly improved the manuscript.

Some issues were clarified completely, but we have some minor remaining remarks.

1. Thanks for including the severity score sheet. This is very helpful for the reader. We would recommend to refer to the score sheet in the supplementary material in the method section on severity scoring. Otherwise this sheet might be overlooked.

2. Line 209 Additional surgery in animals with wound closure problems: Thanks for describing the procedure of re-closure of surgical wounds. We wonder how you handled the data gathered from the animal that was subjected to an additional anesthesia? Were they included in the results? The authors should state whether they think the second surgery is influencing there results and if this animal should be possibly excluded from the study. Maybe a short sentence could be added on the subject.

3. Blood parameters: the authors gave a satisfying answer to our question why blood parameters were applied. This should be included in the manuscript.

4. Metamizol treatment Line 203ff: Please check the Metamizole dosage in the revised manuscript. Was the s.c. dosage equal to the dosage in the drinking water?

Reviewer #2: Thank you to the authors who have now answered to all my questions. The paper is ready for publication.

**********

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Reviewer #2: Yes: Dr. Thomas HUBERT, DVM, PhD, HDR, Dip. LAS, Associate Professor in Surgery

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PLoS One. 2021 Aug 2;16(8):e0255175. doi: 10.1371/journal.pone.0255175.r004

Author response to Decision Letter 1


9 Jul 2021

Response letter PONE-D-21-06410

Dear Madam/Sir:

First of all, we would like to thank the Editors and the Reviewers again for their valuable input to further improve our manuscript.

Below, you will find our response to the individual comments of the 1st reviewer as a point-to-point response letter.

Review Comments to Author:

1. Thanks for including the severity score sheet. This is very helpful for the reader. We would recommend to refer to the score sheet in the supplementary material in the method section on severity scoring. Otherwise this sheet might be overlooked.

Thank you very much for this important recommendation. We added a note, to refer to the supplementary materials, in lines 203 – 205 of the revised manuscript.

“For severity scoring, a modified version of the scoring system described by Morton et al. (1985) [12] was used daily to assess the general condition of rats (see complete score sheet in supplementary material).”

2. Line 209 Additional surgery in animals with wound closure problems: Thanks for describing the procedure of re-closure of surgical wounds. We wonder how you handled the data gathered from the animal that was subjected to an additional anesthesia? Were they included in the results? The authors should state whether they think the second surgery is influencing there results and if this animal should be possibly excluded from the study. Maybe a short sentence could be added on the subject.

Yes, data of re-sutured animals were included in the analysis. We think, that wound healing disorders and surgery-related complications are a physiological bias to a certain extent, which should not be excluded. Furthermore, these wound healing disorders were pre-defined in the score sheet and do not constitute a reason for the exclusion of animals from both, animal welfare and a research perspective. In addition, biological variability of about 20% was already considered in the design of the experiment. In conclusion, even under the impact of these data (9 out of 136 included animals, ≤ 7%), the severity grades were evaluated as low and less severe than assessed by the EU-Directive.

Please see lines 212 – 219 of the revised Material and Methods section:

“To assess wound healing, several stages with subsequent proceedings were defined. If only the thread ends were gnawed off (wound edges adapted), a more intensive monitoring was performed. If the adaptation of wound edges was about to loosen, a wound clip was applied on the corresponding area to secure the suture, and was removed as soon as the wound looked resilient. If a suture dehiscence of single knots occured, the animal was re-anesthetized, the wound was cleaned, and re-sutured. In the case that the suture of the abdominal muscle layer ruptured (hernia; skin suture closed), the animal was re-anesthetized, skin sutures were removed and finaly muscles layer and skin were re-sutured.”

Further, in lines 295 - 297:

“Data of re-sutured animals or animals with surgery-related complications were included in the analysis, as long as they did not reach the predefined humane endpoints.”

And lines 325 – 329 of the revised Results:

“Further wound healing disorders occurred in the post-surgical recovery period: two skin sutures had to be fixed with additive wound clips (PH70%); one skin suture had to be re-sutured under short general anesthesia (SHAM group); six animals got a hernia of the muscle layer and had to be re-sutured under general anesthesia (PH70%). Overall, the scores …”

To make this approach transparent to the reader, we added the following text to the discussion. Please see lines 519 – 522:

“Although, data of re-sutured animals were included in the analysis, we think that wound healing disorders and surgery-related complications are a physiological bias to a certain extent, which should not be excluded. Even under the impact of these data (9 out of 136 included animals, ≤ 7%), the severity grades were evaluated as mild to moderate.”

3. Blood parameters: the authors gave a satisfying answer to our question why blood parameters were applied. This should be included in the manuscript.

We thank you for this improving hint and hope, that the additional information points out why blood parameters were assessed at all. Therefore, we included the sentences in the results and the discussion section of the manuscript.

Please see lines 407 - 409 of the revised manuscript:

“… Metamizole is known to cause agranulocytosis in patients [18], which we could not confirm in our animals. To identify and verify metamizole-dependent changes, which could have an impact on severity grades, the blood cell counts were assessed. …”

And line 505 – 507:

“While surgical interventions can lead to inflammation and thus to changes in the white blood cell counts, bleeding that may be caused by liver resection, can lead to changes in the red blood cell counts.”

4. Metamizol treatment Line 203ff: Please check the Metamizole dosage in the revised manuscript. Was the s.c. dosage equal to the dosage in the drinking water?

We apologize for the misleading wording. We added detailed information to each application time point to clarify the different treatments and dosages. Please see lines 191 – 196:

“Analgesia was administered subcutaneously (metamizole, Novaminsulfon-ratiopharm® 1 g/2 mL; 100 mg/kg, single dose) prior to each surgery. For post-surgical pain management, metamizole (Novaminsulfon-ratiopharm® 1 g/2 mL; 400 mg/kg/day, oral) was administered until the late afternoon of the third day after surgery (POD 3), via sweetened drinking water.”

We hope that our answers meet the reviewers´ expectations and that the revised version is now acceptable for publication in your esteemed journal.

With best regards,

Sincerely,

Rene H. Tolba

Corresponding author

Attachment

Submitted filename: Response to Reviewers_PONE-D-21-06410R1.pdf

Decision Letter 2

Pavel Strnad

12 Jul 2021

Assessing the severity of laparotomy and partial hepatectomy in male rats – a multimodal approach

PONE-D-21-06410R2

Dear Dr. Zieglowski,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

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Kind regards,

Pavel Strnad

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Pavel Strnad

21 Jul 2021

PONE-D-21-06410R2

Assessing the severity of laparotomy and partial hepatectomy in male rats – a multimodal approach

Dear Dr. Zieglowski:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Pavel Strnad

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 File. Score sheet.

    Experiment-specific score sheet for daily severity assessment according to Morton DB et al.

    (PDF)

    S1 Checklist

    (PDF)

    Attachment

    Submitted filename: Response to reviewers_PONE-D-21-06410.pdf

    Attachment

    Submitted filename: Response to Reviewers_PONE-D-21-06410R1.pdf

    Data Availability Statement

    All addition data refered to in the manuscript, are available from the online data repository Zenodo: https://doi.org/10.5281/zenodo.3842977 or https://zenodo.org/record/3842977.


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