Hematology and Clinical Chemistry Reference Ranges for Laboratory-Bred Natal Multimammate Mice (Mastomys natalensis)

Abstract

Laboratory-controlled physiological data for the multimammate rat (Mastomys natalensis) are scarce, despite this species being a known reservoir and vector for zoonotic viruses, including the highly pathogenic Lassa virus, as well as other arenaviruses and many species of bacteria. For this reason, M. natalensis is an important rodent for the study of host-virus interactions within laboratory settings. Herein, we provide basic blood parameters for age- and sex-distributed animals in regards to blood counts, cell phenotypes and serum chemistry of a specific-pathogen-monitored M. natalensis breeding colony, to facilitate scientific insight into this important and widespread rodent species.

1. Introduction

Mastomys natalensis are commensal wild-living rodents of the African continent with a large host range [1,2]. Even though M. natalensis are often described as “rats”, phylogenetically, they are more closely related to mice (Mus) than Rattus [3]. However, since they grow to sizes and weights greater than Mus musculus [4], the confusion with rats as a general descriptor is understandable. Seasonal resource limitations [5,6], their grani- and omnivore sustenance and the high reproduction capabilities of M. natalensis [5] cause large annual fluctuations of local populations. During the dry season, M. natalensis often live peri-domestically and are found inside human dwellings [6] consuming food scraps and unsecured food stores and thereby contaminate these with their excretions.

Mastomys sp. can harbor a diversity of zoonotic pathogens of serious concern for humans, including Capillaria hepatica, Gongylonema sp., Escherichia coli, Salmonella typhimurium [4,7], and, in the case of the visually indistinguishable sister species, M. coucha, Yersinia pestis infection, which could have been partially responsible for human plague clusters in Africa [8]. The pathogen of highest concern harbored by M. natalensis, as well as other species of Muroinae, including Hylomyscus pamfi, Mus baoulei, and Mastomys erythroleucus, is Lassa virus (LASV, Lassa mammarenavirus, Arenaviridae) [9,10,11], which is considered a Risk Group 4 (RG-4) pathogen. LASV is the etiological agent of the hemorrhagic virus disease called Lassa fever, which is considered a major public health concern in West African countries due to annual outbreaks and high morbidity and mortality.

Mastomys species, especially Mastomys coucha, have a long standing history as a model for schistosomiasis [12,13], the plague [14] and papilloma virus research [15]. However, basic blood parameters of M. natalensis from controlled rearing are not available. Additionally, up to this point and only recently, one annotated genome has been published of a laboratory strain of M. coucha [16,17]. Therefore, biomolecular analysis testing of M. natalensis is still based on genetic sequences acquired from M. coucha, which due to the close relationship have at least a chance to similarly work on M. natalensis.

To effectively study M. natalensis in laboratory settings, new tools and baselines parameters are currently being developed and established. Herein, we report the normal hematological and clinical chemistry values of healthy pathogen-tested animals of the animal species of M. natalensis from our laboratory-bred colony to further facilitate research on this currently understudied, yet important for human health, rodent species.

2. Materials and Methods

2.1. Animals

The Mastomys natalensis colony originated from Mali and was brought to the USA in 2013 and has since bred successfully in captivity. Courtesy of Heinz Feldmann and David Safronetz, an off-shoot colony was established at the Bernhard Nocht-Institute for Tropical Medicine (BNITM) in Hamburg, Germany, in 2017, with another off-shoot colony being established at the Robert Koch-Institute (RKI) in Berlin, descending from the BNITM colony in 2018.

The animals were bred at the Animal Husbandry Facility of the Robert Koch-Institute in (RKI) Berlin. Groups of 2–4 animals of the same sex were co-housed in filter-top cages (2000P Tecniplast) with small wood chip bedding and paper nesting material at 22 °C, 40–50% relative humidity on standard rodent chow and water ad libitum during a 12-h light cycle. The animals used for the study were between 8 and 53 weeks of age (specifically 8, 12, 17, 24, 27, 51, 52, and 56 weeks). The calculated reference ranges are deduced from not completely sex-matched groups (40.7% male against 59.3% females) before removal of statistical outliers. The specific age stratification can be seen in Appendix A

Table A1. Age and sex distribution of analyzed M. natalensis prior to removal of outliers.

	Number
Age (Weeks)	♂	♀
8	5	6	<24 weeks: n = 29
12	2	3
17	7 (9 *)	6 (12 *)
24	2	0	>24 weeks: n = 22
27	3	7
51	1	0
52	3	2
56	0	4
	23 (25 *)	28 (34 *)

* number of animals for serum analysis.

.

According to analyses on sentinel animals, the colony was free of most specific pathogens tested with the exception of Rodentibacter sp. (serological), Helicobacter spp. (PCR) and Chilomastix spp. (microscopic). The full list of tested organisms can be seen in Appendix A

Table A2. Specific pathogen testing of sentinel animals from the Mastomys natalensis breeding colony.

Pathogen	Detection Method	Status
Clostridium piliforme	Serology	negative
Rodentibacter sp.	Serology	positive
Streptobacillus moniformis	Serology	negative
Mastophorus muris	Serology	Previously positive, now negative
Mycoplasma pulmonis	Serology	negative
Mouse Adenovirus FL	Serology	negative
Ectromelia virus	Serology	negative
Mouse Hepatitis Virus	Serology	negative
Murine K-Virus Polyoma virus	Serology	negative
Lymphocytic choriomeningitis virus	Serology	negative
Mouse Minute Virus	Serology	negative
Pneumonia virus of mice	Serology	negative
Polyoma-Virus	Serology	negative
Reovirus 3	Serology	negative
Sendai virus	Serology	negative
Theiler’s Murine Encephalomyelitis Virus GD VII	Serology	negative
Murine Rotavirus EDIM	Serology	negative
Lactate dehydrogenase elevating virus	Serology	negative
Hantaan Virus	Serology	negative
Mouse Adenovirus K87	Serology	negative
Murine cytomegalovirus	Serology	negative
Parvoviruses	Serology	negative
Murine norovirus 1	Serology	negative
Encephalomyocarditis virus	Serology	negative
Puumala Virus	Serology	negative
Mouse astrovirus	Serology	positive
Mastomys Natalensis Papilloma Virus	Serology	negative
Citrobacter rodentium	PCR/MALDITOF	negative
Clostridium piliforme	PCR/MALDITOF	negative
Corynebacterium kutscheri	PCR/MALDITOF	negative
Escherichia coli	PCR/MALDITOF	Previously positive, now negative
Rodentibacter spp.	PCR/MALDITOF	positive
Salmonella spp.	PCR/MALDITOF	negative
Streptococcus ß-hemolytic	PCR/MALDITOF	negative
Streptococcus pneumoniae	PCR/MALDITOF	negative
Helicobacter spp.	PCR/MALDITOF	positive
Streptobacillus moniformis	PCR/MALDITOF	negative
Klebsiella oxytoca	PCR/MALDITOF	negative
Proteus mirablilis	PCR/MALDITOF	Previously positive, now negative
Pseudomonas aeruginosa	PCR/MALDITOF	negative
Staphylococcus aureus	PCR/MALDITOF	negative
Pneumocytis murina	PCR/MALDITOF	negative
ecto-arthropoda	Microscopy	negative
Aspiculuris spp.	Microscopy	negative
Syphacia spp.	Microscopy	negative
Chilomastix spp.	Microscopy	positive
Coccidia spp.	Microscopy	negative
Entamoeba spp.	Microscopy	negative
Giardia spp.	Microscopy	negative
Spironucleus muris	Microscopy	negative
Tritrichmonas spp.	Microscopy	negative
other flagellates	Microscopy	negative

.

2.2. Blood Collection

M. natalensis were anesthetized with an isoflurane overdose and exsanguinated via cardiac puncture using BD vacutainer system (K2 EDTA 2.0 mL, SST-II 2.5 mL; 21G or 22G needle adapter). The euthanasia conformed to German animal protection laws and was registered under animal euthanasia report number T0168-19 with the Landesamt für Gesundheit und Soziales in Berlin, Germany.

2.3. Blood Cell Counts

Whole blood that was collected in tubes containing EDTA (BD Vacutainer K2EDTA) was agitated on a rotator at 6 rpm until measured with an automatic hematology analyzer (Abaxis HM5c). The hematology analyzer was maintained according to manufacturer instructions and correct performance was verified using commercial quality controls of normal and high-range reference blood (Abaxis VetScan HM5 Hematology Control). The samples were measured using the standard mouse settings, without modifications. In addition to automatic hematological analysis, thin-film blood smears stained with Diff-Quik staining (Labor + Technik: LT-SYS^®) were prepared from the identical samples, and used for microscopic visualization and manual counting verification. Micrographs were captured using analysis 5.0 (Olympus) software and panels were composed using paint.net v4.1 (dotPDN LLC).

2.4. Clinical Serum Chemistry

Blood that was collected in serum separation tubes (BD Vacutainer SST II) was left to clot for at least 30 min and subsequently centrifuged at 3000× g for 5 min. The sera were aliquoted and stored at −80 °C until measured on an automatic clinical chemistry analyzer (FUJI DRI-CHEM NX500i) with the corresponding colorimetric test assays (FUJI). The samples were assessed for concentrations of creatinine (CRE), blood urea nitrogen (BUN), albumin (ALB), Glutamic pyruvate transaminase/Alanine transaminase (GPT/ALT), glutamic oxaloacetic transaminase/Aspartate transaminase (GOT/AST) and Alkaline phosphatase (ALP). If required, due to volume constraints, the samples were diluted with sterile 0.9% NaCl solution.

2.5. Data Analysis and Statistics

Data were analyzed using Graphpad Prism 8.4. Strongly hemolytic sera were removed from analysis prior to identification of statistical outliers. Statistical outliers for each group were identified using Robust Regression and Outlier removal (ROUT method) with a Q-coefficient of 1%. Measurements below the limit of detection in an assay were imputed by using $\frac{l.o.d.}{\sqrt{2}}$ as set value. One animal was removed from the analysis due to a skin condition that appeared inflammatory. Normal reference ranges were established by calculating the 2.5% and 97.5% percentiles (identical to total range when n < 40). Multiple t-tests were performed on normally-distributed parametric data using Holm–Sidak correction when not stated differently. Non-parametric data was compared using Mann–Whitney rank tests and p-values adjusted according to Sidak correction.

3. Results

3.1. Blood Cell Phenotypes in Thin-Film Blood Smears

Visual characterization of blood cells from dried EDTA thin films allowed for categorization of the common blood cell types typically found in Mammalia and to measure their diameters (

Table 1. Blood cell sizes of Mastomys natalensis. Cardiac blood smear slides stained with Diff-Quik staining were analyzed microscopically, magnification 100× (oil immersion).

Cell Type	Mean Size (±SD)	Median Size
Erythrocyte (n = 47)	6.1 ± 0.4 µm	6.1 µm
Thrombocyte (n = 28)	2.2 ± 0.6 µm	2.1 µm
Monocyte (n = 10)	14.6 ± 2.0 µm	14.4 µm
Lymphocyte (n = 13)	9.1 ± 1.3 µm	8.8 µm
Neutrophil (n = 14)	13.1 ± 1.1 µm	13.1 µm
Eosinophil (n = 11)	12.4 ± 1.4 µm	12.7 µm

). During the visual screening of the blood samples, no basophils could be identified. The modified Romanowsky-stained thin-film blood smears (Figure 1) also provided information about the phenotype of the red blood cells, which sometimes presented with a spiked phenotype, likely because of a possible overconcentration of EDTA within the incompletely filled commercial tubes. Additionally, activated platelets were observed in the majority of samples, identified by their early dendritic and pseudopodia-rich phenotype (Figure 1D).

3.2. Blood Cell Reference Ranges

Since M. natalensis in not a classically-researched species in veterinary sciences or laboratories, commercial hematological offerings are not validated for this species. Manual counting of stained thin blood smears provided a general consensus of cell type ratios to compare with the hematology analyzer using the mouse setting (Figure 2). While significant differences between manual and automated counting of lymphocytes (p = 0.0009) and granulocytes (p = 0.0003) were observed, the inversely proportional mean differences of about +6% and −6% in the manual count of lymphocytes and granulocytes, respectively, indicate that this difference is likely a stable shift due to miscategorization of lymphocytes as granulocytes by the automated hematology analyzer in the mouse setting. Nevertheless, both methods were able to identify abnormal blood samples.

Using automated hematology analysis, white blood cell (WBC) concentrations were determined and identified as lymphocytes (LYM), monocytes (MON), or granulocytes (GRA) (

Table 2. White blood cell reference ranges of M. natalensis. Blood cell concentrations from cardiac puncture according to automated Coulter-counting and additional lymphocyte and granulocyte correction according to manual count verification of the samples. Standard deviation (σ).

	Mean (Reference Range)	σ	Median	Mean and Reference Range with 6%-Correction of Automatic Counts (see Figure 2)
WBC [10³/µL] (n = 45)	3.138 (0.43–6.89)	1.491	3.12	-
LYM [10³/µL] (n = 47)	2.239 (0.29–5.64)	1.114	2.09	2.373 (0.31–5.98)
MON [10³/µL] (n = 42)	0.084 (0.00–0.06)	0.057	0.07	-
GRA [10³/µL] (n = 43)	0.783 (0.08–1.92)	0.477	0.79	0.736 (0.08–1.80)

). On the basis of these values, reference ranges were established after the ROUT method outlier removal.

When analyzed for age-effects on blood cell concentrations, no differences could be discerned between animals younger than 6 months (<24 weeks) of age and older than 6 months (>24 weeks) except for a minor non-significant trend (p = 0.208 Dunnet T3 corrected; p = 0.040 Welch’s t-test, uncorrected) of increased monocytes in older individuals (Figure 3). Age and sex distribution of the individuals can be seen in Appendix A table (Table A1).

Automated determination of red blood cell concentrations (RBC), hematocrit value (HCT) and hemoglobin concentration (HGB) and platelet concentrations (PLT) in the blood revealed no sex-specific differences in M. natalensis (

Table 3. Red blood cell hematologic parameters of male and female M. natalensis. The 2.5–97.5%-percentile is identical to the overall range since n < 40. Paired t-test with Holm-Sidak correction.

Males ♂	Mean (Reference Range)	σ	Median	Holm–Sidak Adjusted p-Values between Sexes	Females ♀	Mean (Reference Range)	σ	Median
RBC [106/µL] (n = 22)	7.524 (5.64–8.52)	0.659	7.650	0.12	RBC [106/µL] (n = 25)	6.898 (4.27–9.84)	1.170	6.940
HCT [%] (n = 23)	43.75 (32.06–50.02)	4.45	43.83	0.44	HCT [%] (n = 24)	41.61 (29.32–55.43)	6.08	41.48
HGB [g/dL] (n = 23)	14.15 (10–17)	1.77	14.10	0.44	HGB [g/dL] (n = 24)	13.39 (9.5–18.7)	2.15	13.30
PLT [10³/µL] (n = 22)	363.5 (60–522)	116.0	374.5	0.66	PLT [10³/µL] (n = 25)	381.3 (37–650)	151.0	402.0

). Female M. natalensis overall displayed higher standard deviation of these red blood parameters.

3.3. Serum Reference Ranges

The sera from cardiac punctures were analyzed for six parameters (

Table 4. Serum parameters of male and female M. natalensis.

Males ♂	Mean (Reference Range)	σ	Median	Sidak-Adjusted p-Values Mann-Whitney Test	Females ♀	Mean (Reference Range)	σ	Median
CRE [mg/dL] (n = 24)	0.271 (0.14–0.58)	0.117	0.26	<0.0006 a	Cre [mg/dL] (n = 24)	0.172 (0.14–0.27)	0.044	0.14
BUN [mg/dL] (n = 24)	26.18 (16.0–42.6)	7.78	24.1	0.0035 *	BUN [mg/dL] (n = 30)	19.08 (3.5–28.1)	4.99	18.5
ALB [g/dL] (n = 22)	2.56 (1.4–4.0)	0.64	2.6	0.0129 *	ALB [g/dL] (n = 30)	3.25 (1.8–5.4)	0.86	3.3
ALT/GPT [U/L] (n = 20)	21.2 (12–38)	7.1	20	>0.9999	ALT/GPT [U/L] (n = 22)	25.3 (13–50)	10.7	21.5
AST/GOT [U/L] (n = 20)	95.2 (54–183)	30.7	83	0.0065 *	AST/GOT [U/L] (n = 22)	138.2 (80–296)	54.9	120.5
ALP [U/L] (n = 22)	103.9 (38–268)	59.1	89	>0.9999	ALP [U/L] (n = 29)	111.3 (10–247)	67.9	88

^a: Cre: ~45% of data imputed via $\frac{l.o.d.}{\sqrt{2}}$, statistical significance hence disputable. *: Significant differences (adjusted p-value < 0.05) between males and females in BUN, ALB, and GOT.

); CRE, BUN, ALB, GPT/ALT, GOT/AST, and ALP. Sex-specific differences were observed for ALB, BUN, and AST, with females displaying higher ALB (p = 0.013) and AST (p = 0.007) concentrations compared to males, while BUN (p = 0.004) was significantly lower.

The observed differences in CRE levels have to be loosely interpreted because 44.8% of the CRE data set was imputed due to measurements below the level of detection (LOD = 0.2 mg/dL). Despite females being overrepresented in the imputed data set, binominal testing of each sex’s ratio of animals below LOD against the ratio of the other group (male observed vs. female expectation percentages: p = 0.161; female observed vs. male expectation percentages: p = 0.071), or a 50% expectation (male p = 0.169; female p > 0.999), showed that this result is likely still a random effect due to a low number of animals tested.

4. Discussion

Mastomys natalensis is an understudied rodent species with importance as a reservoir and vector for many human pathogens, including the highly pathogenic Lassa virus, for which almost no specific analytical tools have been established. Herein, we present hematological data showing that blood cell counts of young animals do not differ from older animals, as well clinical-chemistry data showing few but significant differences between males and females for this laboratory-bred wild animal species.

In this first effort to study M. natalensis under laboratory conditions, we were able to generate reference ranges for white blood cells, lymphocytes, monocytes, granulocytes, red blood cells, and platelets in the blood and specify their phenotypical appearance and sizes.

The final cell counts in this study were obtained by use of Coulter-principle-based automatic counting. Since the analysis panel of the employed automatic hematology analyzer are not optimized for M. natalensis samples, lymphocyte concentrations were generally understated, while granulocytes concentrations were overstated by the automatic counter when compared to manual differential counting. This could be caused by insufficient lymphocyte lysis of the M. natalensis blood when using the standard mouse settings of the machine. This counting discrepancy might be solvable by increasing the lysis buffer volume for better automatic differentiation, but has to be tested in the future.

Our determined hematological reference ranges are comparable to a smaller and more limited previously published study that used inbred M. natalensis [18] despite differing blood sampling techniques employed in the studies, which generally can affect the cell composition of the blood [19,20]. Similarly, hematological data of inbred M. coucha is consistent with our data [21], even though the published data on M. coucha shows lower standard deviations than the data of M. natalensis in this report. Publications prior to the year 1980, or other publications on the “GRA Giessen-strain” or “Praomys (Mastomys) natalensis” [22], have to be considered carefully. The species name M. natalensis has previously been assigned to a complex of several externally identical sympatrically-living Mastomys species. Karyotyping analyses later identified the “GRA Giessen-strain” of “M. natalensis” as the species M. coucha [23,24] under inbred characteristics.

While basophilic granulocytes are often studied in M. coucha during filarial infections [25,26], our study of healthy helminth-free M. natalensis did not allow us to document the characteristics of this rarer cell population. Comparing M. natalensis to other typical laboratory rodents, the measured leukocyte concentrations are much closer to reference ranges of the highly standardized C57BL/6 mouse strain, matching their closer genetic relation to mice [3], than to those of rats.

To date, no clinical chemistry reference ranges for M. natalensis are available in the literature. Literature stating clinical-chemistry parameters for M. natalensis, especially in the research of anti-filarial and anti-plasmodialdrugs, are historically again limited on the Giessen-strain of Mastomys coucha [27]. We therefore provide reference ranges for creatinine, blood urea nitrogen, albumin, alanine-amino-transferase, aspartate-amino-transferase, and alkaline phosphatase true to M. natalensis and could observe sex-dependent difference in BUN, ALB, and AST concentrations. Comparison of published M. coucha parameters shows similar mean concentrations of GPT/ALT with 21.6 ± 2.2 U/L to our 21.2 ± 7.1 U/L, while GOT/AST values in the M. coucha Giessen-strain generally ranged lower (40.2 ± 3.2 U/L vs. 95.2 ± 30.7 U/L), which might be attributed to different sampling techniques or the maintained genetic heterogeneity of the M. natalensis colony used in this study.

Serum ALP concentrations of young M. natalensis was generally elevated (data not shown). As it is known that mammals in stages of bone growth show elevated levels of ALP in the serum, other liver-specific serum parameters, such as γ-glutamyl transferase (GGT), might need to be considered and established to accurately judge alterations in the liver function of young M. natalensis.

During analysis, several samples that had increased AST and ALT values, were excluded due to outlier testing. This could indicate that the cardiac sampling technique employed, which proved more difficult due to enhanced clotting capacities compared to Mus musculus, might have resulted sometimes in sub-optimal sample quality for these analytes. Additionally, the interindividual variation in our breeding colony could have affected the spread of the data. This has to be explored in the future.

In the literature, minor effects of isoflurane on white blood cell counts have been documented in mice [28]. This implies that the reference ranges reported herein should mainly be applied to animals euthanized in a similar fashion, and for blood collections via cardiac puncture [20].

Overall, this study showed that the reference ranges for M. natalensis clinical chemistry values fall between those of mice and rats [29,30,31] and are partially unique to the species, even when compared to M. coucha.

Past routine serological and PCR analysis of sentinel animals from our colony indicated a presence of Mastophorus muris. However, the fact that no basophils were found, might indicate that this infection in the colony might be cleared or was restricted to very few animals. Few specific pathogens were also found in the studied M. natalensis colony during routine testing (Table A2). Thus, the parameter ranges presented here might not completely apply to animals of higher sanitisation standards. While all animals analyzed in this study presented as healthy, the effects of these commensal microorganisms on our results cannot be assesed at this time point, as also no metagenomic data on any M. natalensis breeding colony is available. Other non-specifically tested pathogens, such as endogenous viruses or commensal microorganisms, could be part of the biota of these animals, which might further influence parameters measured in this study. Therefore, different reference ranges might need to be applied to different breeding colonies, also based on their different genetic heterogeneity or geographical origin. Hence, results of this study should not be applied for veterinary diagnostic purposes of M. natalensis of other origins.

Taken together, no specific WBC-count differences could be observed between M. natalensis younger than six months and older than six months (up to one year of age), even though important immunological differences could still exist. Valuable insights were gathered by identifying differing clinical-chemistry reference ranges for female and male individuals for BUN, AST/GOT, and ALT/GPT, which can improve future experimental design with these animals, especially against the background of their role as reservoir hosts of LASV.