Next Article in Journal
Comprehensive Analyses of the Bacterial Population in Non-Healing Claw Lesions of Dairy Cattle
Previous Article in Journal
Approach to Small Animal Neurorehabilitation by Locomotor Training: An Update
Previous Article in Special Issue
Hematology, Ultrastructure and Morphology of Blood Cells in Rufous-Winged Buzzards (Butastur liventer) from Thailand
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Animals
Volume 12
Issue 24
10.3390/ani12243583
animals-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Establishment of Hematological and Plasma Biochemical Reference Values and Analysis of Risk Factors for Pet Sugar Gliders (Petaurus breviceps) in Taiwan

by
Vivian C. Y. Lin
1,2,
Ning-Ya Yang
1,
Wen-Chi Lin
2,3,
Jo-Wen Chen
1,
Ching-Yi Yen
1 and
Yi-Lun Tsai
2,3,*
1
Jong-Shing Mercy Animal Medical Center, Kaohsiung 81361, Taiwan
2
Department of Veterinary Medicine, College of Veterinary Medicine, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan
3
Veterinary Medical Teaching Hospital, College of Veterinary Medicine, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan
*
Author to whom correspondence should be addressed.
Animals 2022, 12(24), 3583; https://doi.org/10.3390/ani12243583
Submission received: 18 October 2022 / Revised: 9 December 2022 / Accepted: 14 December 2022 / Published: 18 December 2022
(This article belongs to the Special Issue Hematology and Transfusion Medicine in Animals)
Browse Figures
Versions Notes

Abstract

:

Simple Summary

Sugar gliders (Petaurus breviceps) are small, nocturnal, arboreal marsupials native to New Guinea and Australia, and are increasingly popular pets in Taiwan and the United States. Symptoms of common sugar glider diseases are often non-specific; therefore, blood tests, including hematology and plasma biochemistry, are important diagnostic tools for veterinarians. However, previous studies on this topic are rare. The goal of this study was to establish reference values of the aforementioned blood tests for pet sugar gliders. A total of 42 healthy pet sugar gliders were recruited, and hematological and plasma biochemical reference values were calculated. The influence of factors including age, gender, season and raising management were also analyzed. The information presented in this study can be beneficial for the future veterinary care of sugar gliders.

Abstract

Hematological and plasma biochemical examination are crucial in the veterinary care of sugar gliders, which are increasingly popular in Taiwan and the United States. However, published research of the species’ reference interval and related influencing factors were rare. The objectives of this study were to establish the hematological and plasma biochemical reference values for captive sugar gliders in Taiwan and to evaluate the influence of factors including age, gender, neuter status, location, season, diet, caging arrangement, and other pets in the household. A total of 42 clinically healthy pet sugar gliders were recruited. Morphometrical measurements and physiological data were collected, and hematological and plasma biochemical examinations were performed. The reference value of each index was calculated using Reference Value Advisor (RVA) software, following the American Society for Veterinary Clinical Pathology (ASVCP) guidelines. Normality of data distribution was tested, and data transformation was conducted. The parametric method and robust method were used to determine reference limits. Univariate analysis was performed, and multiple regression models were built for each hematological and plasma biochemical parameter. Red blood cell, hematocrit, and hemoglobin levels were higher in males, compared to females, while they were lower in the neutered group, compared to the intact group. Relative neutrophil counts were higher in elder sugar gliders, while relative lymphocyte counts were lower. Aspartate transaminase levels were higher in elder sugar gliders, while albumin levels were lower. Blood urea nitrogen levels were highest in spring. The blood profile and related effects presented in this study can provide useful information for veterinary care in pet sugar gliders.

1. Introduction

Sugar gliders (Petaurus breviceps) are marsupials found in Australia and New Guinea [1,2]. Their lifespan is about 4 to 6 years in the wild, and 12 to 14 years in captivity [3,4,5]. Sugar gliders were first brought into the United States pet trade in the 1990s [6]. They are also a prominent part of the European and Asian exotic pet market [7]. Like many small mammal pets, sugar gliders tend to hide signs of disease, and are often seriously ill when brought to veterinary clinics [8,9]. Diagnostic tests, such as hematology and plasma biochemistry, are crucial for identifying underlying cause of the symptoms and to assess the severity of disease [8,10,11]. As Taiwan’s pet sugar glider population grows, the need for these examinations increases. However, studies on the hematological and biochemical reference intervals for sugar gliders are few, and none were conducted in Asia [4,6,10,12]. Further research is needed, as sugar gliders in Taiwan experience differences in climate, diet, and husbandry, which may influence their hematological and biochemical profile [13,14,15].
The aims of this study were to establish hematological and plasma biochemical reference intervals for pet sugar gliders in Taiwan and to evaluate the association between the parameters and risk factors, including age, gender, season, etc.

2. Materials and Methods

2.1. Study Population

The study period was from December 2019 to November 2021. Collection sites were three exotic pet veterinary practices in Taiwan. The protocol of this study was approved by the Institutional Animal Care and Use Committee of National Pingtung University of Science and Technology (NPUST-108-063; 16 December 2019). Sugar gliders were recruited via posters and social media posts. Recruited sugar gliders were normal in spirit, appetite, urination, and defecation, and showed no signs of estrus for the past two weeks. Signs of estrus in female sugar gliders may include increased barking, changes in temperament, increased interest from male sugar gliders, etc. Sugar gliders were not on any medication and did not have major medical conditions in the past. Clinical examination by a veterinarian was performed, and sugar gliders were determined clinically healthy. Clinical examination included attitude, gait, hydration status, external examination, auscultation, and palpation. In some cases, sugar gliders were not accustomed to handling, and detailed auscultation and palpation were performed during anesthesia. Body condition of sugar gliders were scored based on a chart derived from clinical experience and published papers of other species [16,17] (Figure 1). The score was 1 (thin) to 5 (obese) and assessed primarily by amount of fat palpated at the ribs and excess fat at the neck, chest, and patagium; individuals with scores of 1 or 5 were excluded from the study.

2.2. Anesthesia, Physiological Data and Morphometric Measurements

Sugar gliders were fasted for 4 h before examination. Oxygen and heat supplementation were initiated before anesthesia. Isoflurane (Halocarbon Isoflurane USP Liquid for Inhalation, Peachtree Corners, GA, USA) was used for induction (3% to 5%) and maintenance (1% to 3%) of anesthesia. Oxygen was maintained at a flow rate of 0.7 to 1 L/min. Respiratory rate, heart rate, pulse oximetry (Nonin PalmSAT® 2500A, Plymouth, MN, USA), and reflexes were monitored during anesthesia. For nervous sugar gliders, parts of the clinical examinations were completed during anesthesia. After sample collection and all physiological and morphometrical values were recorded, isoflurane was discontinued, and oxygen and heat supplementation was provided until sugar gliders fully recovered. The anesthesia time of this study averaged around 20 min.
Physiological data, including anesthetized heart rate, anesthetized respiratory rate, auricular temperature, and cloacal temperature, were recorded. Heart rate and respiratory rate were obtained by auscultation and visual observation, respectively. Auricular temperature was obtained by infrared thermometer (Braun Thermoscan IRT 6520, Kronberg, Germany); cloacal temperature was obtained with digital oral thermometers (Rex Digital Thermometer MT-B182, Changhua, Taiwan; Valeo Digital Clinical Thermometer VT-801, Taipei, Taiwan). Morphometrical data were recorded by Vernier calipers; the data include body length (tip of snout to cloaca), tail length (cloaca to tip of tail), head length (tip of snout to occiput), head width (widest width across the zygomatic arches), right calf length (knee to heel), right foot length (heel to claw base), and lower incisor length (tip of lower incisor to gingival margin) [18]. If auricular and cloacal temperature cannot be accurately measured in some sugar gliders because of small body size, these data would not be collected. If the heart rate and respiratory rate of the anesthetized sugar glider were decreasing during data collection, the veterinarian would decide to discontinue the anesthesia, in which case some physiological and morphometrical values would not be measured.

2.3. Blood Sample Collection and Profile

Blood samples were collected from the median artery, coccygeal artery, and cranial vena cava (Figure 2). Blood samples were collected with 0.3 or 0.5 mL insulin syringes (BD Ultra-Fine Insulin Syringes, Franklin Lakes, NJ, USA), as well as 1 mL syringes (BD 1 mL Syringe Slip Tip with BD 26G PrecisionGlideTM Needle, Franklin Lakes, NJ, USA). Whole blood samples of 0.1 to 0.15 mL were placed in potassium EDTA tubes (potassium EDTA 0.5 mL Anticoagulant Tube, Vet Supply Global Co., Ltd., New Taipei, Taiwan) and 0.15 to 0.2 mL in heparin tubes (EV 0.5 mL Lithium Heparin Tube, Hebei Xinle Sci&Tech Co., Ltd., Hebei, China). The potassium EDTA tubes each had around 1.4 mg of potassium EDTA, while the heparin tubes had 10 IU of heparin. Hematological and plasma biochemical tests were performed within 2 h after sample collection.
Hematological parameters were examined with IDEXX ProCyte DxTM Hematology Analyzer (IDEXX Laboratories Inc., Westbrook, ME, USA), including: white blood cells (WBC); absolute and relative numbers of neutrophil (Neu; %Neu), lymphocyte (Lym; %Lym), monocyte (Mono; %Mono), eosinophil (Eos; %Eos), and basophil (Baso; %Baso); red blood cell count (RBC); hematocrit (HCT); hemoglobin (HGB); mean corpuscular volume (MCV); mean corpuscular hemoglobin (MCH); mean corpuscular hemoglobin concentration (MCHC); absolute and relative numbers of reticulocyte (Reti; %Reti); red blood cell distribution width (RDW); platelet count (Platelet); mean platelet volume (MPV); platelet distribution width (PDW); and plateletcrit (PCT). Thin blood slides were stained with a modified Romanowsky stain, Liu’s stain, formulated in the clinical pathology laboratory of the Veterinary Medical Teaching Hospital of National Pingtung University of Science and Technology. Blood slides were examined at x1000 magnification oil immersion with Olympus CX31 microscope (Olympus Corporation, Tokyo, Japan). Blood cell morphology was recorded with ISCapture software (Tucsen Photonics, Fujian, China). Diameter range of erythrocyte was obtained by measuring 50 cells from blood slides of 15 randomly selected sugar gliders from this study. Diameter range of each leukocyte type, except basophil, was measured the same way.
Plasma Biochemistry was examined with VetScan VS2® Analyzer (Zoetis Inc., Parsippany, NJ, USA) using VetScan VS2® Preventive Care Profile Plus rotors. The analyzed parameter included blood urea nitrogen (BUN), creatinine (CRE), alanine transaminase (ALT), alkaline phosphatase (ALP), aspartate transaminase (AST), total bilirubin (TBIL), blood glucose (GLU), calcium (CA), total protein (TP), albumin (ALB), globulin (GLOB), sodium (NA), potassium (K), and chloride (CL).

2.4. Statistical Analysis

The mean, standard deviation, and 95% confidence interval were calculated for physiological and morphometrical data. The reference intervals of each hematological and plasma biochemical parameter were calculated using Reference Value Advisor (RVA) software, following the American Society for Veterinary Clinical Pathology (ASVCP) guidelines [19,20]. There were two individuals under one year old, and these data were not included in physiological and morphometrical data analysis and reference interval calculation. Data distribution of each hematological and plasma biochemical index were first tested with the Anderson–Darling test. Box–Cox or natural log transformation were used for data transformation. Parametric method was used to determine reference intervals for data that were normally distributed originally or after transformation. Robust method was used for data that did not have, and could not be, transformed into normal distribution. Following the ASVCP guidelines, as the study population were deemed clinically healthy by veterinarians, outlier removal was not part of the calculation of the reference values [20].
Univariate analysis and multiple regression modeling of blood parameters from all recruited sugar gliders were conducted with RStudio (RStudio 2021.09.1 + 372 “Ghost Orchid,” RStudio, Massachusetts, USA). Sugar glider were grouped by age, gender, neuter status, location, diet, caging arrangement, other pets in household, and season. Ages from 7 to 59 months were grouped as “under-5-years-old” (n = 27), while age group “5-years-and-older” were 60 to 84 months (n = 14); one sugar glider was of unknown age and was excluded from univariate analysis of age. Females (n = 15) and males (n = 27) were both included in this study. Female sugar gliders were not commonly neutered in Taiwan; therefore, no neutered females were recruited. In univariate analysis of neuter status, only “neutered” males (n = 16) and “intact” males (n = 11) were analyzed. Sugar gliders kept in locations north of the 23.5 degrees north latitude were grouped as “north” (n = 14), and otherwise as “south” (n = 28). Diets without formulated foods or diets overly emphasizing on certain foods, including meats, fruits, and vegetables, were grouped as “unbalanced” (n = 10), otherwise grouped as “balanced” (n = 32). For caging arrangement, the “solitary” group individuals were housed individually (n = 14), while “with-conspecific-cagemate” sugar gliders were housed with one or more other sugar gliders (n = 28). Other pets in household was grouped “predatory” when sugar gliders were kept in contact or in vicinity of other pets that were larger and would be considered as their predators, such as cats or dogs (n = 9), otherwise “non-predatory” (n = 33). Seasons were partitioned as follows: September to November as “fall” (n = 10), December to February as “winter” (n = 5), March to May as “spring” (n = 20), and June to August as “summer” (n = 7).
To perform univariate analysis of age, gender, neuter status, location, diet, caging arrangement, and other pets in household on parameters, Mann–Whitney U tests were utilized for non-Gaussian parameters. For these factors, unpaired t tests were used for Gaussian-distributed parameters; folded F tests were used to test the homogeneity of variances, and when the variances were not equal, Welch’s t test were applied. To evaluate significance of season on non-Gaussian distributed parameters, Kruskal–Wallis tests, with Dunn’s multiple comparison test, were applied. One-way ANOVA tests were used to analyze seasonal effects on Gaussian-distributed data, with Tukey’s HSD test for multiple comparison; Levene’s test was used to test the homogeneity of variances, and if variances were not equal, Welch’s ANOVA was used. A p value less than 0.05 was considered significant. Multiple regression models were built with the parameters as continuous dependent variables, and the groups, as described above, serving as independent variables. The stepwise procedure and Akaike information criterion (AIC) were utilized for variable selection. Reference variate of age was “under-5-years-old,” gender was “female,” location was “north,” neuter status was “intact,” diet was “balanced,” caging arrangement was “with-conspecific-cagemate,” other pets in household was “non-predatory,” and season was “fall.” Parameter estimate and p values were calculated for the intercept and each included variable.

3. Results

3.1. Physiological and Morphometrical Data

A total of 42 pet sugar gliders were included in this study, including 15 females and 27 males; of the male sugar gliders, there were 16 neutered individuals. The test subjects were between 7 months and 7 years of age. The sugar gliders were pets presented for health checks in veterinary clinics in Taiwanese cities New Taipei, Taichung, and Kaohsiung. Physiological and morphometrical data were recorded as mean, standard deviation, and 95% confidence interval in Table 1. The two sugar gliders under 1 year of age were not part of the calculation of these data.

3.2. Blood Cell Morphology

Peripheral blood cell morphology was presented in Figure 3. Sugar glider red blood cells were anucleate cells with diameter ranging from 5.5 to 7.5 µm. Mild anisocytosis and polychromasia could be observed. Occasional Howell-Jolly bodies and nucleated RBCs were also present. Sugar glider neutrophil had segmented nucleus and pale cytoplasm, with diameter ranging from 11 to 14.5 µm; about 50 percent of neutrophil nuclei were observed to have 4 lobes, and 30 percent had 5 or more. Lymphocytes, predominantly small or medium lymphocytes, were the most abundant leukocytes on the blood slides of sugar gliders. The lymphocytes were 7.5 to 12.5 µm in diameter, had round, oval, or bean-shaped nucleus and a rim or band of pale to basophilic cytoplasm. Monocytes were 11 to 19.5 µm in diameter, had an irregular, sometimes horse-shoe shaped, nucleus and a substantial cytoplasm of blue-grey color with occasional vacuoles. Eosinophils ranged from 11.5 to 16.5 µm in diameter; the nuclei were 2 to 3 lobes, and the cytoplasm was densely populated with small, round eosinophilic granules. Basophils were sparsely observed in the blood slide examinations. Of the basophils measured, 10 to 17 µm diameter were recorded. Basophils had a segmented nucleus and deeply basophilic granules that were scattered loosely in the cytoplasm. Platelets were irregularly shaped and mostly stained lighter on the edge and darker in the middle.

3.3. Hematological and Plasma Biochemical Reference Values

The reference intervals for each parameter were summarized in Table 2 and Table 3. There were missing values in the hematological data set, due to analyzing errors that might have been caused by insufficient sample volume or sample influenced by prolonged blood drawing. There were missing values in the plasma biochemical data set, due to insufficient sample volume or moderate hemolysis. The hematological and plasma biochemical values of two sugar gliders under 1 year old were presented separately (Table A1 and Table A2) and were not part of the calculation of reference intervals. The reference range were presented as the lower limit and upper limit, with 95% confidence interval of both limits, as ASVCP guidelines suggested for reference intervals of smaller sample sizes [20].

3.4. Univariate Analysis

All significant univariate results were presented in Table 4. Relative lymphocyte count and ALB levels were significantly higher in the age group “5-years-and-older”, compared to “under-5-years-old,” while potassium and relative neutrophil count levels were higher in the older age group than the younger. Significant gender differences were found in RBC and CL. Male sugar gliders were found to have higher levels of RBC and CL, compared to female sugar gliders. None of the female sugar gliders in this study were neutered. Therefore, the effect of neuter status was only investigated among male sugar gliders in this study. Relative lymphocyte count, RBC, HCT, HGB, and RDW levels were found to be significantly higher for intact males, compared to neutered males, while the opposite was true for the MCH and GLOB levels. Significant location differences were found in levels of absolute and relative monocyte count, MCV, PCT, GLOB, and K. These parameters were all significantly higher in sugar gliders living in the south than the north. Levels of GLU displayed significant seasonal differences. Samples collected in the summer had significantly higher GLU values than in spring. Diet effect was observed, in that MCH levels were higher in the “balanced” group than in the “unbalanced” group. For the caging arrangement, whether sugar gliders were kept solitarily or not was not a significant factor in the univariate analyses. For the factor “Other Pets in Household,” between “predatory” and “non-predatory,” HGB, MCH, Reti, %Reti, and BUN levels were higher in “non-predatory” groups, while eosinophil counts were higher in “predatory” group.

3.5. Multiple Regression Model

Multiple regression models were built for each parameter of the hematological and plasma biochemical profile of pet sugar gliders in Taiwan (Table 5 and Table 6). All parameters, except for Mono, Eos, Baso, %Reti, PCT, CRE, and TBIL, had correlations with age. Notably, absolute and relative neutrophil counts and BUN, AST, GLOB, and potassium levels were higher in elder sugar gliders, while relative lymphocyte counts, ALB, NA and CL levels were lower. Regarding gender, the RBC, HCT, HGB, and RDW levels were higher in males than females, while MCH, MCHC, and %Reti were lower. Similarly, intact individuals had higher RBC, HCT, and HGB and lower MCH and MCHC than neutered individuals. Intact gliders also had higher platelet count and PCT. The location group “south” had higher absolute and relative monocyte counts, platelet, MPV, PCT, GLOB, and K than the group “north”. PDW, ALB and AST levels were higher in the group “north”, compared to “south”. Of the four seasons, the eosinophil concentration was lowest in the summer, reticulocyte concentration and percentage were highest in winter, BUN levels were highest in spring, and GLU was highest in summer. Animals in the “unbalanced” diet group had higher eosinophil count, RBC, platelet, and CL levels, while having lower MCH and MCV levels. Sugar gliders in the “solitary” group had lower percentage and concentration of reticulocytes, compared to animals in the “with-conspecific-cagemate” group. The “predatory” group of other pets in household factor had lower HGB and MCH levels, reticulocyte concentration and percentage, and BUN and ST levels, with higher platelet and PCT levels.

4. Discussion

This is the first study of sugar glider hematological and plasma biochemical reference interval in Asia. In the present study, the heart rate, respiratory rate, and cloacal temperature recorded during anesthesia were consistent with previous records of sugar gliders [4,21]. Auricular temperature was also recorded during anesthesia, and the mean auricular temperature was higher than the mean cloacal temperature recorded in this study (36.2 °C and 35.4 °C, respectively). In marsupials, small size can prohibit the measuring of auricular temperature, otherwise it had been suggested that auricular temperature was more accurate than cloacal temperature [22]. Morphometric measurements of this study were generally similar to data of wild sugar gliders, except that pet sugar gliders had higher mean body weight than wild sugar gliders [18,23]. In future sugar glider research, it would be valuable to collect physiological data of a larger sample size to expand on this preliminary data.
The morphological characteristics of peripheral blood cells in the present study, such as the staining and pattern of nuclei, granules, and cytoplasm, were consistent with previous records of sugar gliders and similar to other marsupials, such as squirrel gliders, koalas, and quokkas [24,25,26]. The nuclei of marsupial neutrophils typically have 3 to 6 lobes, and that of canine and feline neutrophil have 3 to 5 lobes [27,28,29]. Sugar gliders have a larger portion of neutrophils, with 5 or more nuclear lobes, which would be considered hypersegmentation in canine and feline hematology [30,31,32].
In the present study, the mean ALP value of adult sugar gliders was higher than previously reported in pet sugar gliders [6]. The increase in ALP values had been related to osteoblastic activity during growth in marsupials, and young individuals were found to have higher ALP values, same as the findings in this study [33,34,35]. The two sugar gliders below 1 year old had higher ALP levels than the calculated adult reference range. Other sources of ALP include the liver, kidneys, and intestines in mammals, such as dogs, cats, and rabbits; however, isoform profiles have not been studied in marsupials [11,36,37,38]. The mean CRE values in the present study were lower than formerly published values of pet sugar gliders [6,10]. It has been reported that lower CRE levels in healthy animals have been associated to lower muscle mass in quolls (Dasyurus spp.) and rodents, as well as hydration in dogs, cats, and rabbits [34,39,40,41,42]. Lower mean CRE value in this study could be related to the differences of diet consumption and smaller animal living space in Taiwan, compared to the United States, where the previous studies took place [5,43].
Based on the multiple regression model, levels of RBC, HCT, and HGB were higher in males and in intact sugar gliders. Higher RBC counts in males was also found in studies of tammar wallabies (Macropus eugenii), western ringtail possums (Pseudocheirus occidentalis), greater gliders (Petauroides volans), and allied rock-wallabies (Petrogale assimilis) [44,45,46,47]. Higher RBC, HGB, and HCT levels were also recorded in male common and mountain brushtail possums (Trichosurus vulpecula and cunninghami) [48,49,50]. RBC count was known to be stimulated by male sex hormones in mammals and could increase in rats and mice after testosterone injection, while decreasing in rats and hamsters after castration [44,51,52,53].
In the present study, sugar gliders’ ages ranged from 7 months to 7 years. Considering that the lifespan of wild sugar gliders is 4 to 6 years, sugar gliders 5 years or older were deemed the elder group [3,4]. In a study of captive Tasmanian devils (Sarcophilus harrisii), when the animals were older, living beyond their wild lifespan, changes in blood values, such as total protein, were observed [33]. In this study, relative lymphocyte count were lower in the elder group of sugar gliders, while relative neutrophil counts were higher, similar to the findings of the studies in Gilbert’s potoroos (Potorous gilbertii), Tasmanian devils, allied rock-wallabies, koalas (Phascolarctos cinereus), and eastern grey kangaroos (Macropus giganteus) [25,33,35,47,54,55]. There was also a similar phenomenon in the hematology of laboratory animals, such as rabbits and rodents [56,57,58]. Higher levels of lymphocyte in young animals were related to immune system development and first exposure to antigens in Gilbert’s potoroos, Tasmanian devils, and dogs, and the age effect of lymphocyte population was linked with sex hormones, glucocorticoids, and thymus involution in humans [35,54,59,60]. Increase in neutrophil levels had been related to cortisol increase, due to the stress of malnutrition or subclinical disease, in marsupials, as well as in eutherians [11,35,56].
Higher levels of AST in older animals were found in the present study, and similarly in older adult Tasmanian devils, compared to younger adults [33]. AST levels were associated with tissue damage of the liver, heart, and skeletal muscle [38,61]. ALB levels were lower in the elder group in this study, and similar trends had been found in Tasmanian devils and dogs, with an association with muscle loss, proposed in humans [36,54,62,63]. Subclinical degenerative change in the liver, heart, and muscle could lead to the age effect in AST and ALB.
Levels of GLOB and K were higher in sugar gliders living in the south of Taiwan than in the north. Previous marsupial studies had attributed locational differences to genetics, temperature, water availability, and diet quality [13,14,45]. Studies had linked higher values of GLOB and K to increases in environmental temperature in sheep and rabbits or stress in rodents [39,64,65]. The average temperature of Taipei in northern Taiwan was around 1.6 degrees Celsius lower than Kaohsiung in southern Taiwan during the study period (Central Weather Bureau, 2021). Pet sugar gliders are usually kept in indoor cages, with occasional out-of-cage activity indoors, and fed once or twice a day. As indoor pets, temperature effect would be less significant for pet sugar gliders in Taiwan. The effect of location in the present study could contain multiple environmental and husbandry factors, and the specific cause of higher GLOB and K could not be singled out.
Sugar gliders had higher GLU values in summer and higher BUN values in spring. Such seasonal GLU variations were also found in quolls and wild brushtail possums and were related to breeding, water availability, and changes in climate and environment [34,66]. Changes in glucose levels had also been linked to stressful events and excitement-induced catecholamine release [36,45,54]. Urea was also found to be higher in spring in wild Tasmanian devils and was considered to be influenced by the physiological demands of breeding [67]. Changes in BUN were often linked to various factors including hydration, protein intake, and exercise in healthy domestic mammals [36,42]. Association with breeding activity was not considered in this study, since sugar gliders during estrus were excluded. Seasonal changes in the environment, such as temperature, humidity, and circadian rhythm, and being active for longer periods of time in spring and summer might be related to the seasonal differences in GLU and BUN levels in the present study; however, due to small sample size in the season groups, this preliminary result needs to be studied on a larger scale.
In the experimental research of captive sugar gliders, the diet effects on blood parameters of these animals were studied [15]. Nine sugar gliders were divided into three groups and, in addition to assorted fruits and vegetables, fed one of three commonly available diets: Insectivore Fare from Reliable Protein Products, soaked kibble from Eight in One Pet Products, and Bourbon’s Modified Leadbeater’s diet [15]. Mineral imbalances in the analyzed diets were found, and higher BUN and lower CA levels were found between the groups; however, the significance of the diet’s influence on blood values could not be established, due to the small sample size of the study [15]. In the present study, diets with over 30% fruits, vegetables, or animal-based protein, as well as diets without formulated feeds, were considered unbalanced. Excess in fruits, vegetables, and animal-based protein in the diet of sugar gliders had been linked with obesity, periodontal disease, and metabolic bone disease, and formulated feeds, such as Mazuri insectivore diet and Leadbeater’s recipe, were often recommended [68,69,70,71]. In the present study, higher eosinophil and platelet counts and lower MCV levels were found in sugar gliders with unbalanced diets. Eosinophil level changes were generally linked to parasitic infection and hypersensitivity in domestic mammals [36,72]. Increased platelet count could be related to inflammation, hemorrhage, or iron-deficiency anemia in marsupials [24]. Increases in platelet levels were linked with iron deficiency in humans and dietary imbalance in cats [73,74]. Decrease in MCV was mostly linked to the microcytic anemia caused by iron deficiency in dogs and cats [36,75]. The sugar gliders in this study did not have signs of infection, hypersensitivity, or anemia. Hematological values could have been influenced by the diets of pet sugar gliders, yet further research is needed for a more definite conclusion.
Being social animals in the wild, keeping sugar gliders in pairs or groups was thought to be necessary, for fear of stress from lacking social interactions [9,43]. Solitary sugar gliders were described to be prone to aggression and self-mutilation; however, solitary sugar gliders in the present study were healthy, and these behaviors were not observed [9,43]. There were no major hematological or plasma biochemical differences between sugar gliders kept in solitary or with conspecifics in this study.
In the wild, sugar gliders were considered prey animals. Some pet sugar gliders in this study were kept in the same household as pets considered predatory animals, such as dogs and cats. Behavioral changes due to the scent of predators were documented in captive marsupial literature, but physiological changes were not yet studied [76,77]. BUN and HGB levels were lower for sugar gliders kept with predatory pets. BUN was mostly related to protein intake in healthy animals [45,78]. Differences in erythrocyte parameters, such as HGB, were also linked to nutrition and body condition [24,33]. Stressful environments, due to living around predatory animals, may have affected feeding habits and hindered the consumption and absorption of nutrients. However, more evidence and information are needed in this aspect for a definite conclusion.

5. Conclusions

The hematological and plasma biochemical reference interval, as well as physiological and morphometrical data of pet sugar gliders in Taiwan, were presented in this study. The possible effects of age, gender, neuter status, location, season, diet, caging arrangement, and other pets in the household were also provided, with the effect of gender on erythrocyte values and effect of age on leukocytes particularly notable. This was the first study on the effect of physiological and environmental factors on the blood profile of pet sugar gliders, yet many aspects of this topic are still unknown, and further investigation is needed. The reference interval and other data compiled in this study can be useful for veterinarians and beneficial to sugar glider medicine.

Author Contributions

Conceptualization, V.C.Y.L. and Y.-L.T.; methodology, V.C.Y.L., N.-Y.Y., W.-C.L., and Y.-L.T.; investigation, V.C.Y.L., N.-Y.Y., J.-W.C., and C.-Y.Y.; resources, Y.-L.T.; data curation, V.C.Y.L.; writing—original draft preparation, V.C.Y.L.; writing—review and editing, Y.-L.T.; supervision, Y.-L.T.; project administration, Y.-L.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The animal study protocol was approved by the Institutional Animal Care and Use Committee of National Pingtung University of Science and Technology (NPUST-108-063; 16 December 2019).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Acknowledgments

The authors gratefully acknowledge the veterinarians that provided assistance in blood sample collection and profiling: Yi-Ping Lai, Che-Chun Fang, Pin-Hung Tsai, Che-Cheng Chang, and Li-Wen Chang. We express gratitude to all doctors and staff at Jong-Shing Mercy Animal Medical Center for the support of this study. We also thank Jiun-Yuan Li and the staff of the Laboratory Services of Veterinary Medical Teaching Hospital of NPUST.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table
Table A1. Hematology data of two sugar gliders under one year old. Missing data was caused by errors in the analyzing process, possibly due to insufficient sample volume.
Table A1. Hematology data of two sugar gliders under one year old. Missing data was caused by errors in the analyzing process, possibly due to insufficient sample volume.
ParametersUnitSG1SG2
WBCK/µL16.00-
NeuK/µL2.79-
%Neu%17.4-
LymK/µL12.13-
%Lym%75.8-
MonoK/µL0.66-
%Mono%4.1-
EosK/µL0.36-
%Eos%2.3-
BasoM/µL0.06-
%Baso%0.4-
RBCg/dL9.178.47
HCTfL51.754.0
HGBpg18.517.3
MCVg/dL56.463.8
MCHK/µL20.220.4
MCHC%35.832.0
Reti%237.5118.6
%RetiK/µL2.61.4
%RDWfL2934.8
Platelet%201870
MPV%-10.6
PDWK/µL--
PCT%-0.92
SG1: an eight-month-old sugar glider, SG2: a seven-month-old sugar glider.
Table
Table A2. Plasma biochemical data of two sugar gliders under one year old.
Table A2. Plasma biochemical data of two sugar gliders under one year old.
ParametersUnitSG1SG2
BUNmg/dL1817
CREmg/dL0.20.3
ALTU/L7240
ALPU/L501617
ASTU/L410
TBILmg/dL0.40.4
GLUmg/dL15676
CAmg/dL9.29.8
TPg/dL6.45.7
ALBg/dL4.44.3
GLOBg/dL21.5
NAmmol/L140136
Kmmol/L3.84.3
CLmmol/L118108
SG1: an eight-month-old sugar glider, SG2: a seven-month-old sugar glider, CA: calcium, NA: sodium, K: potassium, CL: chloride.

References

  1. Smith, M.J. Petaurus breviceps. Mamm. Species 1973, 30, 1–5. [Google Scholar] [CrossRef]
  2. Flannery, T.F. Mammals of New Guinea; Reed Books: Chatswood, Australia, 1995. [Google Scholar]
  3. Suckling, G. Population ecology of the sugar glider, Petaurus breviceps, in a system of fragmented habitats. Wildl. Res. 1984, 11, 49–75. [Google Scholar] [CrossRef]
  4. Booth, R. General husbandry and medical care of sugar gliders. In Kirk's Current Veterinary Therapy XIII: Small Animal Practice; Bonagura, J.D., Ed.; WB Saunders: Philadelphia, PN, USA, 2000; Volume 13, pp. 1157–1162. [Google Scholar]
  5. Johnson-Delaney, C. Marsupials. In BSAVA Manual of Exotic Pets; Meredith, A., Johnson-Delaney, C., Eds.; British Small Animal Veterinary Association: Gloucester, UK, 2010; pp. 103–126. [Google Scholar]
  6. Brust, D.M. Sugar Gliders: A Complete Veterinary Care Guide; Veterinary Interactive Publications: Sugar Land, TX, USA, 2009. [Google Scholar]
  7. Kubiak, M. Handbook of Exotic Pet Medicine; Wiley-Blackwell: Hoboken, NJ, USA, 2020; p. 528. [Google Scholar]
  8. McLaughlin, A.; Strunk, A. Common emergencies in small rodents, hedgehogs, and sugar gliders. Vet. Clin. North Am. Exot. Anim. Pr. 2016, 19, 465–499. [Google Scholar] [CrossRef] [PubMed]
  9. Lennox, A.M. Emergency and critical care procedures in sugar gliders (Petaurus breviceps), African hedgehogs (Atelerix albiventris), and prairie dogs (Cynomys spp). Vet. Clin. North Am. Exot. Anim. Pract. 2007, 10, 533–555. [Google Scholar] [CrossRef] [PubMed]
  10. Ness, R.D. Clinical pathology and sample collection of exotic small mammals. Vet. Clin. North Am. Exot. Anim. Pr. 1999, 2, 591–620, vi. [Google Scholar] [CrossRef]
  11. Booth, R.J. Marsupials. In Exotic Animal Laboratory Diagnosis; Heatley, J.J., Russell, K.E., Eds.; John Wiley & Sons: Hoboken, NJ, USA, 2020; pp. 175–197. [Google Scholar]
  12. Species360. Sugar Glider: Reference Ranges for Physiological Data Values. Available online: http://www.species360.org/ (accessed on 7 May 2020).
  13. Bennett, M.D.; Woolford, L.; O'Hara, A.J.; Nicholls, P.K.; Warren, K.S.; Hulme-Moir, K.L.; Clark, P. Hematologic characteristics of captive western barred bandicoots (Perameles bougainville) from Western Australia. Vet. Clin. Pathol. 2007, 36, 348–353. [Google Scholar] [CrossRef] [Green Version]
  14. Clark, P.; Holz, P.; Booth, R.; Jakob-Hoff, R.; Cooper, D.; Boardman, W.; Parry, B.; Norman, R. Haematological characteristics of captive Parma wallabies (Macropus parma). Comp. Clin. Pathol. 2003, 12, 11–16. [Google Scholar] [CrossRef]
  15. Dierenfeld, E.S.; Thomas, D.; Ives, R. Comparison of commonly used diets on intake, digestion, growth, and health in captive sugar gliders (Petaurus breviceps). J. Exot. Pet Med. 2006, 15, 218–224. [Google Scholar] [CrossRef]
  16. Freeman, L.; Becvarova, I.; Cave, N.; MacKay, C.; Nguyen, P.; Rama, B.; Takashima, G.; Tiffin, R.; van Beukelen, P.; Yathiraj, S. WSAVA nutritional assessment guidelines. J. Feline Med. Surg. 2011, 13, 516–525. [Google Scholar] [CrossRef]
  17. Mullan, S.M.; Main, D.C. Survey of the husbandry, health and welfare of 102 pet rabbits. Vet. Rec. 2006, 159, 103–109. [Google Scholar] [CrossRef]
  18. Jackson, S.M. Population dynamics and life history of the mahogany glider, Petaurus gracilis, and the sugar glider, Petaurus breviceps, in north Queensland. Wildl. Res. 2000, 27, 21–37. [Google Scholar] [CrossRef]
  19. Geffre, A.; Concordet, D.; Braun, J.P.; Trumel, C. Reference Value Advisor: A new freeware set of macroinstructions to calculate reference intervals with Microsoft Excel. Vet. Clin. Pathol. 2011, 40, 107–112. [Google Scholar] [CrossRef]
  20. Friedrichs, K.R.; Harr, K.E.; Freeman, K.P.; Szladovits, B.; Walton, R.M.; Barnhart, K.F.; Blanco-Chavez, J. ASVCP reference interval guidelines: Determination of de novo reference intervals in veterinary species and other related topics. Vet. Clin. Pathol. 2012, 41, 441–453. [Google Scholar] [CrossRef]
  21. Jackson, S. Australian Mammals: Biology and Captive Management; CSIRO Publishing: Collingwood, Australia, 2003; p. 524. [Google Scholar]
  22. Johnson-Delaney, C.A. Practical marsupial medicine. In Proceedings of the American Exotic Mammals Veterinarian Conference, Bonita Springs, FL, USA, 2 June 2006; pp. 51–60. [Google Scholar]
  23. Quin, D.G.; Riek, A.; Green, S.; Smith, A.P.; Geiser, F. Seasonally constant field metabolic rates in free-ranging sugar gliders (Petaurus breviceps). Comp. Biochem. Physiol. Part A: Mol. Integr. Physiol. 2010, 155, 336–340. [Google Scholar] [CrossRef]
  24. Clark, P. Haematology of Australian Mammals; Csiro Publishing: Melbourne, Australia, 2004. [Google Scholar]
  25. Fabijan, J.; Speight, N.; Boardman, W.; Hemmatzadeh, F.; Trott, D.J.; Woolford, L. Haematological reference intervals of wild southern Australian koalas (Phascolarctos cinereus). Aust. Vet. J. 2020, 98, 207–215. [Google Scholar] [CrossRef]
  26. Martínez-Pérez, P.A.; Hyndman, T.H.; Fleming, P.A. Haematology and blood chemistry in free-ranging quokkas (Setonix brachyurus): Reference intervals and assessing the effects of site, sampling time, and infectious agents. PLoS ONE 2020, 15, e0239060. [Google Scholar] [CrossRef]
  27. Schultze, A.E. Interpretation of canine leukocyte responses. In Schalm's Veterinary Hematology; Weiss, D.J., Wardrop, K.J., Eds.; John Wiley & Sons: Hoboken, NJ, USA, 2011; pp. 321–334. [Google Scholar]
  28. Villiers, E. Introduction to haematology. In BSAVA Manual of Canine and Feline Clinical Pathology, 3rd ed.; Ristić, J., Villiers, E., Eds.; BSAVA Library: Gloucester, UK, 2016; pp. 27–37. [Google Scholar]
  29. Clark, P. The leukocytes. In Haematology of Australian Mammals; CSIRO Publishing: Melbourne, Australia, 2004; pp. 47–76. [Google Scholar]
  30. Reagan, W.J.; Rovira, A.R.I.; DeNicola, D.B. Variations in white blood cell morphology. In Veterinary Hematology: Atlas of Common Domestic and Non-Domestic Species; John Wiley & Sons: Hoboken, NJ, USA, 2019; pp. 45–50. [Google Scholar]
  31. Webb, J.L.; Latimer, K.S. Leukocytes. In Duncan and Prasse's Veterinary Laboratory Medicine: Clinical Pathology; Latimer, K.S., Ed.; John Wiley & Sons: Hoboken, NJ, USA, 2011; pp. 45–82. [Google Scholar]
  32. Valenciano, A.C.; Decker, L.S.; Cowell, R.L. Interpretation of feline leukocyte responses. In Schalm's Veterinary Hematology; Weiss, D.J., Wardrop, K.J., Eds.; John Wiley & Sons: Hoboken, NJ, USA, 2011; pp. 335–344. [Google Scholar]
  33. Stannard, H.J.; Thompson, P.; McAllan, B.M.; Raubenheimer, D. Hematology and serum biochemistry reference ranges of healthy captive Tasmanian devils (Sarcophilus harrisii) and their association with age, gender and seasonal variation. Mamm. Biol. 2016, 81, 393–398. [Google Scholar] [CrossRef]
  34. Stannard, H.J.; Young, L.J.; Old, J.M. Further investigation of the blood characteristics of Australian quoll (Dasyurus spp.) species. Vet. Clin. Pathol. 2013, 42, 476–482. [Google Scholar] [CrossRef]
  35. Vaughan, R.J.; Warren, K.S.; Mills, J.S.; Palmer, C.; Fenwick, S.; Monaghan, C.L.; Friend, A.J. Hematological and serum biochemical reference values and cohort analysis in the Gilbert's potoroo (Potorous gilbertii). J. Zoo Wildl. Med. 2009, 40, 276–288, 213. [Google Scholar] [CrossRef] [Green Version]
  36. Latimer, K.S. Duncan and Prasse's Veterinary Laboratory Medicine: Clinical Pathology; Wiley-Blackwell: Hoboken, NJ, USA, 2011; p. 528. [Google Scholar]
  37. Hall, E.J.; German, A.J. Laboratory evaluation of hepatic disease. In BSAVA Manual of Canine and Feline Clinical Pathology, 3rd ed.; Ristić, J., Villiers, E., Eds.; BSAVA Library: Gloucester, UK, 2016; pp. 237–261. [Google Scholar]
  38. Campbell, T.W. Clinical Chemistry of Mammals: Laboratory Animals and Miscellaneous Species. In Veterinary Hematology and Clinical Chemistry, 2nd ed.; Thrall, M.A., Weiser, G., Allison, R.W., Campbell, T.W., Eds.; John Wiley & Sons: Hoboken, NJ, USA, 2012; pp. 571–581. [Google Scholar]
  39. Kusmeirczyk, J.; Kling, M.; Kier, A.B.; Milligan, S.M.; Heatley, J.J. Rats and Mice. In Exotic Animal Laboratory Diagnosis; Heatley, J.J., Russell, K.E., Eds.; John Wiley & Sons: Hoboken, NJ, USA, 2020; pp. 81–112. [Google Scholar]
  40. Kurtz, D.M.; Travlos, G.S. The Clinical Chemistry of Laboratory Animals; CRC Press: Boca Raton, FL, USA, 2017. [Google Scholar]
  41. Meuten, D. Laboratory evaluation and interpretation of the urinary system. In Veterinary hematology and Clinical Chemistry; Thrall, M.A., Weiser, G., Allison, R.W., Campbell, T.W., Eds.; John Wiley & Sons: Hoboken, NJ, USA, 2012. [Google Scholar]
  42. Melillo, A. Rabbit clinical pathology. J. Exot. Pet Med. 2007, 16, 135–145. [Google Scholar] [CrossRef]
  43. Johnson-Delaney, C. Sugar Gliders. In Ferrets, Rabbits, and Rodents: Clinical Medicine and Surgery, 4th ed.; Quesenberry, K.E., Orcutt, C.J., Mans, C., Carpenter, J.W., Eds.; W.B. Saunders: Philadelphia, PN, USA, 2021; pp. 385–400. [Google Scholar]
  44. McKenzie, S.; Deane, E.M.; Burnett, L. Haematology and serum biochemistry of the tammar wallaby, Macropus eugenii. Comp. Clin. Pathol. 2002, 11, 229–237. [Google Scholar]
  45. Clarke, J.; Warren, K.; Calver, M.; de Tores, P.; Mills, J.; Robertson, I. Hematologic and serum biochemical reference ranges and an assessment of exposure to infectious diseases prior to translocation of the threatened western ringtail possum (Pseudocheirus occidentalis). J. Wildl. Dis. 2013, 49, 831–840. [Google Scholar] [CrossRef] [Green Version]
  46. Viggers, K.L.; Lindenmayer, D.B. Hematological and plasma biochemical values of the greater glider in Australia. J. Wildl. Dis. 2001, 37, 370–374. [Google Scholar] [CrossRef] [Green Version]
  47. Spencer, P.; Speare, R. Hematology of wild allied rock-wallabies, Petrogale assimilis Ramsay, 1877 (Marsupialia, Macropodidae), in North Queensland. Aust. J. Zool. 1992, 40, 355–364. [Google Scholar] [CrossRef]
  48. Viggers, K.L.; Lindenmayer, D.B. Variation in hematological and serum biochemical values of the mountain brushtail possum, Trichosurus caninus Ogilby (Marsupialia: Phalangeridae). J. Wildl. Dis. 1996, 32, 142–146. [Google Scholar] [CrossRef] [Green Version]
  49. Barnett, J.; How, R.; Humphreys, W. Blood parameters in natural populations of Trichosurus species (Marsupialia: Phalangeridae). I. Age, sex and seasonal variation in T. Caninus and T. Vulpecula. Aust. J. Zool. 1979, 27, 913–926. [Google Scholar]
  50. Presidente, P.; Correa, J. Haematology, Plasma electrolytes and serum biochemical values of Trichosurus vulpecula (Kerr) (Marsupialia: Phalangeridae). Aust. J. Zool. 1981, 29, 507–517. [Google Scholar]
  51. Stein, K.F.; Carrier, E. Changes in erythrocytes of hamsters following castration, splenectomy, and subsequent liver, iron, and testosterone injections. Proc. Soc. Exp. Biol. Med. 1945, 60, 313–318. [Google Scholar] [CrossRef]
  52. Steinglass, P.; Gordon, A.S.; Charipper, H.A. Effect of castration and sex hormones on blood of the rat. Proc. Soc. Exp. Biol. Med. 1941, 48, 169–176. [Google Scholar] [CrossRef]
  53. Guo, W.; Li, M.; Bhasin, S. Testosterone supplementation improves anemia in aging male mice. J. Gerontol. A Biol. Sci. Med. Sci. 2014, 69, 505–513. [Google Scholar]
  54. Hope, K.L.; Peck, S. Hematological and serum biochemical values in anesthetized captive Tasmanian devils (Sarcophilus harrisii). J. Zoo Wildl. Med. 2016, 47, 564–572. [Google Scholar] [CrossRef] [PubMed]
  55. Green-Barber, J.M.; Ong, O.T.; Kanuri, A.; Stannard, H.J.; Old, J.M. Blood constituents of free-ranging eastern grey kangaroos (Macropus giganteus). Aust. Mammal. 2017, 40, 136–145. [Google Scholar] [CrossRef]
  56. Campbell, T.W. Mammalian hematology: Laboratory animals and miscellaneous species. In Veterinary Hematology and Clinical Chemistry, 2nd ed.; Thrall, M.A., Weiser, G., Allison, R.W., Campbell, T.W., Eds.; John Wiley & Sons: Hoboken, NJ, USA, 2012; pp. 225–237. [Google Scholar]
  57. Campbell, T.W. Peripheral blood of mammals. In Exotic Animal Hematology and Cytology, Campbell, T.W., Ed.; Wiley Blackwell: Hoboken, NJ, USA, 2015; pp. 3–36. [Google Scholar]
  58. Bolliger, A.P.; Everds, N.E.; Zimmerman, K.L.; Moore, D.M.; Smith, S.A.; Barnhart, K.F. Hematology of laboratory animals. In Schalm's Veterinary Hematology; Weiss, D.J., Wardrop, K.J., Eds.; John Wiley & Sons: Hoboken, NJ, USA, 2011; pp. 852–887. [Google Scholar]
  59. Peel, E.; Belov, K. Immune-endocrine interactions in marsupials and monotremes. Gen. Comp. Endocrinol. 2017, 244, 178–185. [Google Scholar] [CrossRef] [PubMed]
  60. Pereira, M.; Valério-Bolas, A.; Saraiva-Marques, C.; Alexandre-Pires, G.; Pereira da Fonseca, I.; Santos-Gomes, G. Development of dog immune system: From in uterus to elderly. Vet. Sci. 2019, 6, 83. [Google Scholar] [CrossRef] [PubMed]
  61. Warren, K.S.; Holyoake, C.S.; Friend, T.J.; Yeap, L.; McConnell, M. Hematologic and serum biochemical reference intervals for the bilby (Macrotis lagotis). J. Wildl. Dis. 2015, 51, 889–895, 887. [Google Scholar] [CrossRef] [Green Version]
  62. Pati, S.; Panda, S.; Acharya, A.; Senapati, S.; Behera, M.; Behera, S. Evaluation of geriatric changes in dogs. Vet. World 2015, 8, 273. [Google Scholar] [CrossRef] [Green Version]
  63. Baumgartner, R.N.; Koehler, K.M.; Romero, L.; Garry, P.J. Serum albumin is associated with skeletal muscle in elderly men and women. Am. J. Clin. Nutr. 1996, 64, 552–558. [Google Scholar] [CrossRef] [Green Version]
  64. Rathwa, S.D.; Vasava, A.A.; Pathan, M.M.; Madhira, S.P.; Patel, Y.G.; Pande, A.M. Effect of season on physiological, biochemical, hormonal, and oxidative stress parameters of indigenous sheep. Vet. World 2017, 10, 650–654. [Google Scholar] [CrossRef] [Green Version]
  65. Okab, A.; El-Banna, S.; Koriem, A. Influence of environmental temperatures on some physiological and biochemical parameters of New-Zealand rabbit males. Slovak J. Anim. Sci. 2008, 41, 12–19. [Google Scholar]
  66. Wells, R.; Jones, A.; Clout, M.; Sarre, S.; Anderson, R. Seasonal effects on the haematology and blood chemistry of wild brushtail possums, Trichosurus vulpecula (Marsupialia: Phalangeridae) in New Zealand. Comp. Haematol. Int. 2000, 10, 68–73. [Google Scholar] [CrossRef]
  67. Peck, S.; Corkrey, R.; Hamede, R.; Jones, M.; Canfield, P. Hematologic and serum biochemical reference intervals for wild Tasmanian devils (Sarcophilus harrisii). Vet. Clin. Pathol. 2015, 44, 519–529. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Dierenfeld, E.S. Feeding behavior and nutrition of the sugar glider (Petaurus breviceps). Vet. Clin. North Am. Exot. Anim. Pr. 2009, 12, 209–215, xiii–viii. [Google Scholar] [CrossRef]
  69. Johnson-Delaney, C.A. Captive marsupial nutrition. Vet. Clin. North Am. Exot. Anim. Pr. 2014, 17, 415–447. [Google Scholar] [CrossRef] [PubMed]
  70. Dierenfeld, E.S.; Whitehouse-Tedd, K.M. Evaluation of three popular diets fed to pet sugar gliders (Petaurus breviceps): Intake, digestion and nutrient balance. J. Anim. Physiol. N 2017, 102, 193–208. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  71. Johnson-Delaney, C.A. Feeding Sugar Gliders. Exot. DVM 1998, 1, 4. [Google Scholar]
  72. Weiser, G. Introduction to leukocytes and the leukogram. In Veterinary Hematology and Clinical Chemistry, 2nd ed.; Thrall, M.A., Weiser, G., Allison, R.W., Campbell, T.W., Eds.; John Wiley & Sons: Hoboken, NJ, USA, 2012; pp. 118–122. [Google Scholar]
  73. Dan, K. Thrombocytosis in iron deficiency anemia. Intern. Med. 2005, 44, 1025–1026. [Google Scholar] [CrossRef] [PubMed]
  74. Rizzo, F.; Tappin, S.W.; Tasker, S. Thrombocytosis in cats: A retrospective study of 51 cases (2000–2005). J. Feline Med. Surg. 2007, 9, 319–325. [Google Scholar] [CrossRef]
  75. Villiers, E. Disorders of erythrocytes. In BSAVA Manual of Canine and Feline Clinical Pathology, 3rd ed.; Ristić, J., Villiers, E., Eds.; BSAVA Library: Gloucester, UK, 2016; pp. 38–66. [Google Scholar]
  76. Ramp, D.; Russell, B.G.; Croft, D.B. Predator scent induces differing responses in two sympatric macropodids. Aust. J. Zool. 2005, 53, 73–78. [Google Scholar] [CrossRef]
  77. Parsons, M.H.; Blumstein, D.T. Familiarity breeds contempt: Kangaroos persistently avoid areas with experimentally deployed dingo scents. PLoS ONE 2010, 5, e10403. [Google Scholar] [CrossRef]
  78. McLaughlin, R.M.; Fish, R.E. Clinical biochemistry and hematology. In The Biology of the Laboratory Rabbit; Elsevier: Amsterdam, The Netherlands, 1994; pp. 111–127. [Google Scholar]
Animals 12 03583 g001 550
Figure 1. Reference figures for body condition scoring. (a) Score 1, no subcutaneous fat at neck/chest region, ribs easily palpable with no fat covering, thin patagium; (b) Score 2, minimal subcutaneous fat at neck/chest region, ribs easily palpable with little fat covering, thin patagium; (c) Score 3, slight subcutaneous fat at neck/chest region, ribs palpable with slim fat covering, thin patagium; (d) Score 4, thick subcutaneous fat at neck/chest region, ribs not easily palpable with moderate fat covering, patagium thickened with fat deposit; (e) Score 5, pronounced subcutaneous fat at neck, chest, and abdominal region, ribs not palpable with substantial fat covering, patagium thickened with substantial fat deposit.
Figure 1. Reference figures for body condition scoring. (a) Score 1, no subcutaneous fat at neck/chest region, ribs easily palpable with no fat covering, thin patagium; (b) Score 2, minimal subcutaneous fat at neck/chest region, ribs easily palpable with little fat covering, thin patagium; (c) Score 3, slight subcutaneous fat at neck/chest region, ribs palpable with slim fat covering, thin patagium; (d) Score 4, thick subcutaneous fat at neck/chest region, ribs not easily palpable with moderate fat covering, patagium thickened with fat deposit; (e) Score 5, pronounced subcutaneous fat at neck, chest, and abdominal region, ribs not palpable with substantial fat covering, patagium thickened with substantial fat deposit.
Animals 12 03583 g001
Animals 12 03583 g002 550
Figure 2. Two of the blood collection sites used in this study. (a) Median artery, using 0.3 mL insulin syringe; (b) cranial vena cava, using 1 mL syringe.
Figure 2. Two of the blood collection sites used in this study. (a) Median artery, using 0.3 mL insulin syringe; (b) cranial vena cava, using 1 mL syringe.
Animals 12 03583 g002
Animals 12 03583 g003 550
Figure 3. Blood cell morphology (Liu’s stain, x1000 magnification). (a) neutrophil; (b) lymphocyte; (c) monocyte; (d) eosinophil; (e) basophil; (f) nRBC (nucleated red blood cell).
Figure 3. Blood cell morphology (Liu’s stain, x1000 magnification). (a) neutrophil; (b) lymphocyte; (c) monocyte; (d) eosinophil; (e) basophil; (f) nRBC (nucleated red blood cell).
Animals 12 03583 g003
Table
Table 1. Physiological data and morphometric measurements of sugar gliders, including mean and standard deviation.
Table 1. Physiological data and morphometric measurements of sugar gliders, including mean and standard deviation.
UnitsMeanStandard Deviationn
Physiological data
Respiratory rate (conscious)breaths/min136.4371.4214
Respiratory rate (anesthetized)breaths/min33.7918.6339
Cloacal temperature a°C35.400.9134
Auricular temperature a°C36.200.7822
Heart rate (conscious)beats/min306.0542.3819
Heart rate (anesthetized)beats/min244.5046.7640
Morphometric measurements
Body weightg144.0734.6840
Body lengthmm145.706.7240
Tail lengthmm160.3618.2540
Head widthmm26.242.0540
Head lengthmm38.252.3940
Right calf lengthmm41.692.1440
Right foot lengthmm23.891.9739
Lower incisormm6.510.5439
a Temperature data recorded while anesthetized.
Table
Table 2. Hematological reference intervals of pet sugar gliders in Taiwan.
Table 2. Hematological reference intervals of pet sugar gliders in Taiwan.
ParametersUnitnMeanSDLower Limit (90% CI)Upper Limit (90% CI)DistributionMethod
RBCM/µL398.030.906.18 (5.80–6.58)9.88 (9.46–10.29)GP
HCT%3946.305.0335.99 (33.88–38.22)56.62 (54.27–58.86)GP
HGBg/dL3916.561.6513.18 (12.49–13.91)19.93 (19.16–20.67)GP
MCVfL3957.773.4450.72 (49.29–52.25)64.82 (63.22–66.35)GP
MCHpg3920.671.1018.41 (17.95–18.90)22.92 (22.41–23.42)GP
MCHCg/dL3935.811.4332.87 (32.27–33.51)38.74 (38.08–39.38)GP
RetiK/µL39242.4960.42118.61 (93.34–145.35)366.37 (338.22–393.33)GP
%Reti%393.000.681.82 (1.64–2.05)4.62 (4.17–5.05)BGP
RDW%3922.952.4617.90 (16.87–18.99)27.99 (26.84–29.09)GP
WBCK/µL337.802.951.71 (0.37–3.14)13.89 (12.38–15.33)GP
NeuK/µL331.440.940.35 (0.27–0.49)4.25 (3.03–5.67)BGP
%Neu%3317.926.927.72 (6.51–9.25)36.28 (29.96–43.58)LGP
LymK/µL335.792.221.20 (0.18–2.04)10.39 (9.25–11.48)GP
%Lym%3374.547.7758.84 (54.93–62.25)90.60 (86.63–96.41)GP
MonoK/µL330.360.190.06 (0.03–0.11)0.84 (0.68–0.98)BGP
%Mono%334.592.030.40 (0–1.38)8.78 (7.75–9.78)GP
EosK/µL330.140.110.03 (0.02–0.04)0.52 (0.33–0.76)BGP
%Eos%331.951.380.26 (0.18–0.44)5.88 (4.34–7.45)BGP
BasoK/µL330.070.050 (0–0)0.18 (0.15–0.20)GP
%Baso%331.010.750 (0–0)2.45 (1.87–3.07)NGRo
PlateletK/µL39385.70144.1090.20 (29.90–154.00)681.10 (614.00–745.40)GP
MPVfL398.571.146.23 (5.75–6.74)10.92 (10.39–11.43)GP
PDWfL398.671.365.88 (5.32–6.48)11.45 (10.82–12.06)GP
PCT%390.330.140.14 (0.12–0.17)0.70 (0.56–0.87)BGP
SD: standard deviation; CI: confidence interval; G: Gaussian; BG: Box–Cox transformed Gaussian; LG: natural log transformed Gaussian; NG: non-Gaussian; P: parametric; Ro: robust.
Table
Table 3. Plasma biochemical reference intervals of pet sugar gliders in Taiwan.
Table 3. Plasma biochemical reference intervals of pet sugar gliders in Taiwan.
ParametersUnitnMeanSDLower Limit (90% CI)Upper Limit (90% CI)DistributionMethod
BUNmg/dL3922.508.009.60 (8.00–11.70)42.40 (36.70–48.20)BGP
CREmg/dL390.270.140 (0–0.04)0.58 (0.52–0.63)NGRo
ALTU/L3979.4039.5024.90 (20.40–31.70)189.40 (153.60–227.50)BGP
ALPU/L39174.2082.5068.90 (58.06–82.59)369.13 (305.05–443.11)LGP
ASTU/L3848.0019.305.10 (0–15.00)85.60 (72.30–98.70)NGRo
TBILmg/dL390.440.240 (0–0)0.87 (0.76–0.97)NGRo
GLUmg/dL39158.0029.9086.10 (73.60–103.00)213.00 (196.00–234.30)NGRo
CAmg/dL398.980.697.57 (7.28–7.88)10.40 (10.08–10.71)GP
TPg/dL396.090.554.95 (4.72–5.20)7.23 (6.97–7.47)GP
ALBg/dL394.350.503.34 (3.13–3.56)5.37 (5.14–5.59)GP
GLOBg/dL391.740.510.69 (0.48–0.92)2.78 (2.54–3.01)GP
NAmmol/L39138.803.20132.30 (130.90–133.70)145.40 (143.90–146.80)GP
Kmmol/L373.860.622.59 (2.32–2.87)5.13 (4.83–5.41)GP
CLmmol/L38106.903.5099.80 (98.30–101.30)114.10 (112.50–115.70)GP
SD: standard deviation; CI: confidence interval; G: Gaussian; BG: Box–Cox transformed Gaussian; LG: natural log transformed Gaussian; NG: non-Gaussian; P: parametric; Ro: robust.
Table
Table 4. Significant statistical test results of univariate analysis on hematological and plasma biochemical parameters.
Table 4. Significant statistical test results of univariate analysis on hematological and plasma biochemical parameters.
FactorsParameterTestResultp Value
Age%Lymt test[<5 years] > [≥5 years]0.01292
Kt test[≥5 years] > [<5 years]0.00219
%NeuMann–Whitney U test[≥5 years] > [<5 years]0.02806
ALBMann–Whitney U test[<5 years] > [≥5 years]0.04936
GenderRBCt testMale > Female0.04133
CLt testMale > Female0.03229
Neuter Status
Of Males		RBCWelch’s t testIntact > Neutered0.00058
HCTt testIntact > Neutered0.03444
HGBWelch’s t testIntact > Neutered0.02086
MCHt testNeutered > Intact0.00788
%Lymt testIntact > Neutered0.03538
GLOBt testNeutered > Intact0.00947
RDWMann–Whitney U testIntact > Neutered0.03180
LocationMCVt testSouth > North0.03581
%MonoWelch’s t testSouth > North0.00329
GLOBt testSouth > North0.00515
Kt testSouth > North0.03729
MonoMann–Whitney U testSouth > North0.03639
PCTMann–Whitney U testSouth > North0.01455
SeasonGLUKruskal–Wallis test
Post hoc Dunn’s test		Summer > Spring0.00375
DietMCHt testBalanced > Unbalanced0.00386
Other Pets in HouseholdHGBt testNon-predatory > Predatory0.02660
MCHt testNon-predatory > Predatory0.03165
Retit testNon-predatory > Predatory0.02251
%Retit testNon-predatory > Predatory0.04382
EosMann–Whitney U testPredatory > Non-predatory0.04986
BUNMann–Whitney U testNon-predatory > Predatory0.00448
Table
Table 5. Results of multiple regression models of hematological parameters.
Table 5. Results of multiple regression models of hematological parameters.
InterceptAgeGenderNeuter StatusLocationDietCaging ArrangementOther Pets in HouseholdSeason
(Spring)		Season
(Summer)		Season
(Winter)
ParametersPEPEp ValuePEp ValuePEp ValuePEp ValuePEp ValuePEp ValuePEp ValuePEp ValuePEp ValuePEp Value
RBC7.327−0.1340.5861.291<0.001−1.250<0.0010.3980.0990.7760.006----------
HCT42.417−0.2350.8834.9450.016−5.9580.0032.9380.0622.9600.0972.7660.092--------
HGB16.3010.2590.6261.8440.005−1.5890.013------−1.4010.018------
MCV57.0491.3930.212----1.6200.148−2.5020.050----------
MCH21.2000.4490.132−0.9310.0091.0000.005--−1.1610.001--−0.9080.007------
MCHC35.6080.1070.830−0.9390.1221.4900.013−0.9020.049------1.4620.010−0.2010.770−0.4860.548
Reti249.681−18.1550.382--------−37.5720.089−67.1930.00816.6170.4892.4850.936108.0360.003
%Reti3.225--−0.3890.081------−0.5000.045−0.7570.0060.2700.3180.0990.7621.3180.001
%RDW22.546−0.9090.3783.4250.008−2.8540.024--------------
WBC7.8800.7500.538------------------
Neu1.3970.7670.035--------−0.5360.142--------
%Neu16.4917.2180.004--------−3.5800.146--------
Lym6.0450.0120.989------------------
%Lym77.871−6.4010.020------−3.8930.170----------
Mono0.274------0.1410.044------------
%Mono2.8140.5190.455--1.0860.1091.8000.012------------
Eos0.190--------0.1040.024----−0.0610.175−0.1650.007−0.0980.120
%Eos1.6980.1480.772------0.8470.125----------
Baso0.073--------------------
%Baso0.854−0.1480.595--0.4260.119--------------
Platelet335.717−26.5230.569--−126.4450.006105.6340.028112.8460.030--81.0280.157------
MPV8.198−0.3340.382----0.8590.029------------
PDW9.434−0.7100.124----−0.8150.079------------
PCT0.247----−0.1190.0180.1490.0070.0760.188--0.1230.040------
PE: parameter estimate. Reference variate of Age was under-5-years-old, Gender was female, Location was north, Neuter Status was intact, Diet was balanced, Caging Arrangement was with-conspecific-cagemate, Other Pets in Household was non-predatory, Season was fall.
Table
Table 6. Results of multiple regression models of plasma biochemical parameters.
Table 6. Results of multiple regression models of plasma biochemical parameters.
InterceptAgeGenderNeuter StatusLocationDietCaging ArrangementOther Pets in HouseholdSeason
(Spring)		Season
(Summer)		Season
(Winter)
ParametersPEPEp ValuePEp ValuePEp ValuePEp ValuePEp ValuePEp ValuePEp ValuePEp ValuePEp ValuePEp Value
BUN20.9063.4730.186----−3.6860.147----−6.2790.0526.9160.0233.2680.3842.0950.613
CRE0.273--------------------
ALT68.46414.8980.254------20.9870.147----------
ALP162.574−23.6720.54462.6720.114----------------
AST49.64421.0420.001----−11.6220.066----−10.7240.132------
TBIL0.463------------−0.1180.177------
GLU152.579−1.1980.907------------−9.9060.38439.4870.01119.5790.231
CA9.0580.2070.370------−0.4210.102----------
TP6.385−0.2820.107−0.2680.126----------------
ALB4.713−0.4470.003----−0.2910.049------------
GLOB1.3540.2060.175----0.4940.002------------
NA139.654−2.2640.033------−1.7420.138----0.6900.544−1.8620.2242.8020.100
K3.1760.825<0.001----0.4240.017------0.2870.1560.3290.204−0.3300.249
CL104.773−2.2610.075----1.7390.1603.4380.020----2.2430.100−2.1830.2633.5290.081
PE: parameter estimate. Reference variate of Age was under-5-years-old, Gender was female, Location was north, Neuter Status was intact, Diet was balanced, Caging Arrangement was with-conspecific-cagemate, Other Pets in Household was non-predatory, Season was fall.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Lin, V.C.Y.; Yang, N.-Y.; Lin, W.-C.; Chen, J.-W.; Yen, C.-Y.; Tsai, Y.-L. Establishment of Hematological and Plasma Biochemical Reference Values and Analysis of Risk Factors for Pet Sugar Gliders (Petaurus breviceps) in Taiwan. Animals 2022, 12, 3583. https://doi.org/10.3390/ani12243583

AMA Style

Lin VCY, Yang N-Y, Lin W-C, Chen J-W, Yen C-Y, Tsai Y-L. Establishment of Hematological and Plasma Biochemical Reference Values and Analysis of Risk Factors for Pet Sugar Gliders (Petaurus breviceps) in Taiwan. Animals. 2022; 12(24):3583. https://doi.org/10.3390/ani12243583

Chicago/Turabian Style

Lin, Vivian C. Y., Ning-Ya Yang, Wen-Chi Lin, Jo-Wen Chen, Ching-Yi Yen, and Yi-Lun Tsai. 2022. "Establishment of Hematological and Plasma Biochemical Reference Values and Analysis of Risk Factors for Pet Sugar Gliders (Petaurus breviceps) in Taiwan" Animals 12, no. 24: 3583. https://doi.org/10.3390/ani12243583

APA Style

Lin, V. C. Y., Yang, N. -Y., Lin, W. -C., Chen, J. -W., Yen, C. -Y., & Tsai, Y. -L. (2022). Establishment of Hematological and Plasma Biochemical Reference Values and Analysis of Risk Factors for Pet Sugar Gliders (Petaurus breviceps) in Taiwan. Animals, 12(24), 3583. https://doi.org/10.3390/ani12243583

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop