Literature DB >> 27382375

Reference values of clinical pathology parameters in cynomolgus monkeys (Macaca fascicularis) used in preclinical studies.

Hyun-Kyu Park1, Jae-Woo Cho1, Byoung-Seok Lee1, Heejin Park1, Ji-Seok Han1, Mi-Jin Yang2, Wan-Jung Im1, Do-Yong Park1, Woo-Jin Kim1, Su-Cheol Han3, Yong-Bum Kim1.   

Abstract

Nonhuman primates are increasingly used in biomedical research since they are highly homologous to humans compared to other rodent animals. However, there is limited reliable reference data of the clinical pathology parameters in cynomolgus monkeys, and in particular, only some coagulation and urinalysis parameters have been reported. Here, we reported the reference data of clinical chemical, hematological, blood coagulation, and urinalysis parameters in cynomolgus monkeys. The role of sex differences was analyzed and several parameters (including hematocrit, hemoglobin, red blood cell, blood urea nitrogen, total bilirubin, alkaline phosphatase, creatinine kinase, gamma-glutamyl tranferase, and lactate dehydrogenase) significantly differed between male and female subjects. In addition, compared to previous study results, lactate dehydrogenase, creatinine kinase, and aspartate aminotransferase showed significant variation. Interstudy differences could be affected by several factors, including age, sex, geographic origin, presence/absence of anesthetics, fasting state, and the analytical methods used. Therefore, it is important to deliberate with the overall reference indices. In conclusion, the current study provides a comprehensive and updated reference data of the clinical pathology parameters in cynomolgus monkeys and provides improved assessment criteria for evaluating preclinical studies or biomedical research.

Entities:  

Keywords:  Cynomolgus monkey; blood coagulation; clinical chemistry; hematology; urinalysis

Year:  2016        PMID: 27382375      PMCID: PMC4931040          DOI: 10.5625/lar.2016.32.2.79

Source DB:  PubMed          Journal:  Lab Anim Res        ISSN: 1738-6055


Cynomolgus monkeys (Macaca fascicularis) are one of the most widely employed nonhuman primate species in drug development, toxicology, and biomedical research. Cynomolgus monkeys appear to originate from tropical insular Southeast Asia and are commonly observed near seashore, swamps, and river banks [1]. The typical life span of a cynomolgus monkey ranges from 25-30 years and males and females attain sexual maturity at six and four years of age, respectively [2]. Cynomolgus monkeys are anatomically and physiologically homologous to humans compared to other animal models (e.g., rats, dogs). Furthermore, they share many other characteristics with humans. They are omnivorous, reflecting the diverse habitats they live in and they are susceptible to age-related pathologies commonly observed in humans. Because of the increased use of cynomolgus monkey in nonclinical studies, it is necessary to establish the clinical pathology parameters in this monkey species to monitor their health and pathological status. Clinical pathology testing including clinical chemistry, hematology, blood coagulation, and urinalysis is a standard element of nonclinical toxicology studies. These test results provide information regarding organ systems, metabolic function, and pathophysiologic response. Reference values are important in clinical and preclinical studies to evaluates health condition indices and improve the accuracy of drug safety studies. In addition, these indices are valuable for assessing possible effects in early investigational or discovery-type studies that lack control animals or baseline data [3]. In order to build an integrated, high-quality foundation for future cynomolgus monkey-based research, comprehensive and accurate reference values of clinical pathology parameters are required. The values obtained in this study will be used as baseline data for clinical chemistry, hematologic, blood coagulation, and urinalysis parameters in healthy cynomolgus monkeys.

Materials and Methods

Animals and ethical statement

Pretest results of clinical pathology parameters were examined in 18 preclinical toxicology studies carried out at Korea Institute of Toxicology (KIT) between 2011 and 2014. The study population comprised 113 cynomolgus monkeys (76 males and 37 females; age: 24-60 months; body weights: 2-4 kg) obtained from NafoVanny (Tam Phuoc Hamlet, Bien Hoa City, Dong Nai Province, Vietnam). All imported monkeys were quarantined at the nonhuman primate facility at Korea Institute of Toxicology (KIT) for at least 30 days. Throughout the study, the animal room environment was controlled (temperature maintained at 20-29℃, humidity of 40-70%, approximately 12-hour light/12-hour dark cycle (08:00 to 20:00) with 150-300 lux, ventilation 10-20 times/hour, and negative pressure), and monkeys were housed individually in a stainless-steel cage (543W × 715L × 818H mm). The groups received filtered, ultraviolet light-irradiated municipal tap water ad libitum and were fed approximately 60 g of food (Certified Primate Diet #5048, PMI nutrition International, Inc.) twice daily. The animals were managed at KIT, an accredited animal facility, complying with the AAALAC International Animal Care Policies. The Animal Care and Use Committee of the KIT reviewed and approved all the study protocols.

Hematology, clinical chemistry, and coagulation analysis

The parameters' abbreviations, units, and analysis methods are presented in Table 1. All animals were fasted overnight and blood samples were collected from the cephalic vein of non-anesthetized monkey for analysis of hematologic, coagulation, and serum chemistry parameters; if blood cannot be obtained from the cephalic vein, the saphenous or femoral vein was used. Blood samples were collected in tubes containing K2-EDTA for hematologic analysis. Hematological parameters were analyzed using an Advia 2120i hematology analyzer (Siemens, USA).
Table 1

Parameters and analytical methods

ItemParameterUnitMethod
Hematology
WBC RBCTotal leukocyte count Total red blood cell count×103/µLLaser optical with cytochemical reaction Laser optical flow cytometry
HGBHemoglobin×106/µLCyanmethemoglobin spectrophotometry
HCTHematocrit%(MCV×RBC)/1000
MCVMean Corpuscular VolumefLLaser optical flow cytometry
MCHMean Corpuscular Hemoglobinpg(Hgb/RBC×100)
MCHCMean Corpuscular Hemoglobin Concentrationg/dL(HGB/(RBCxMCV))×1000
PLTPlatelet count×103/µLLaser optical flow cytometry
RETAReticulocyte Count (absolute)×109/µLLaser optical with cytochemical reaction
NEUANeutrophil (absolute)×103/µLPerox optical with cytochemical reaction
LYMALymphocyte (absolute)×103/µLPerox optical with cytochemical reaction
MONAMonocyte (absolute)×103/µLPerox optical with cytochemical reaction
EOSAEosinophil (absolute)×103/µLPerox optical with cytochemical reaction
BASABasophil (absolute)×103/µLLaser optical with cytochemical reaction
LUCALarge Unstained Cells (absolute)×103/µLPerox optical with cytochemical reaction
RDWRed Cell Distribution Width%Calculated from the RBC volume SD and the MCV
RETReticulocyte Count %%Laser optical with cytochemical reaction
NEUNeutrophil (%)%Perox optical with cytochemical reaction
LYMLymphocyte (%)%Perox optical with cytochemical reaction
MONMonocyte (%)%Perox optical with cytochemical reaction
EOSEosinophil (%)%Perox optical with cytochemical reaction
BASBasophil (%)%Laser optical with cytochemical reaction
LUCLarge Unstained Cells (%)%Perox optical with cytochemical reaction
MPVMean Platelet VolumefLMean of platelet volume histogram
Urinalysis
U-KUrine Potassiummmol/LIon selective electrode (indirect)
U-ClUrine Chloridemmol/LIon selective electrode (indirect)
U-NaUrine Sodiummmol/LIon selective electrode (indirect)
UTPUrine Proteinmg/dLPyrogallol red
UGLUUrine Glucosemg/dLHexokinase-UV
UCREUrine Creatininemg/dLJaffe-kinetic
UALBUrine albuminmg/dLBromo cresol green method
P/CUrine Protein Creatinine ratioratioCalculated with UTP, UCRE
Chemistry
GLUGlucosemg/dLHK-G6PD-UV method
BUNBlood urea nitrogenmg/dLUrease-GLDH (NH3 free)
CREACreatininemg/dLJaffe-Kinetic method
TPTotal proteing/dLBiuret
ALBAlbuming/dLBromo cresol green method
A/GAlbumin globulin ratioratioCalculated with TP, ALB
TCHOTotal cholesterolmg/dLEnzymeatic (COD-POD) method
TGTriglyceridemg/dLLipase, GK, GPO, POD without Glycerol blank
PLPhospholipidmg/dLEnzymatic method
ASTAspartate aminotransferaseIU/LJSCC, UV-Rate
ALTAlanine aminotransferaseIU/LGSCC (DGKC), Karman, JSCC
TBILTotal bilirubinmg/dLOxidation method
ALPAlkaline phosphataseIU/Lp-NPP-DEA method
CKCreatine phosphokinaseIU/LUV-Rate
CaCalciummg/dLOCPC colorimetry
IPInorganic phosphorusmg/dLEnzymatic method
NaSodiummmol/LIon selective electrode, indirect
KPotassiummmol/LIon selective electrode, indirect
ClChloridemmol/LIon selective electrode, indirect
GGTGamma glutamyl transferaseIU/LJSCC/IFCC substrate method
CRPC-reactive proteinmg/LLattex agglutinine
LDHLactate dehydrogenaseIU/LUV-Rate
HDLHigh density lipoproteinmg/dLDirect method
LDLLow density lipoproteinmg/dLDirect method
GLOGlobuling/dLCalculated with TP, ALB
C3Complement C3mg/dLImmunoturbidimetric
Coagulation
PTProthrombin timesecNephelometric analysis
APTTActivated partial thromboplastin timesecNephelometric analysis
FIBFibrinogenmg/dLNephelometric analysis
For serum chemistry analysis, blood samples were collected in tubes and placed at room temperature for at least 90 min prior to centrifugation (approximately 3000 rpm, 10 minutes, at room temperature). Serum chemistry parameters were measured using a Toshiba 200FR NEO chemistry analyzer (Toshiba Co., Japan). In addition, blood samples were collected in tubes containing 3.2% sodium citrate and plasma samples were obtained after centrifugation (approximately 3000 rpm, 10 minutes, at room temperature) and analyzed for prothrombin (PT), activated partial thromboplastin time (APTT), and fibrinogen (FIB) using an ACL 9000 coagulation analyzer (Instrumental Laboratory, Italy).

Urinalysis

Animals were fasted overnight prior to urine collection. Urine samples were collected with a clean cage pan on wet ice (first void in the morning of each collection day), and the total fresh urine volume (VOL) was recorded. Urine samples were collected in a urine specimen container and kept cool with wet ice before analysis. Urinalysis was performed using a COBAS U 411 urine analyzer (Roche, Germany) and Combur 10 TM urine stick (Roche, Germany) to determine the following parameters: color, specific gravity (SG), pH, urine total protein (UTP), urine glucose (UGLU), urine creatinine (UCRE), urine albumin (UALB), and urine protein to creatinine ratio (P/C). Urine potassium (U-K), urine chlorine (U-Cl), and urine sodium (U-Na) were measured using a Toshiba 200FR NEO chemistry analyzer (Toshiba Co., Japan).

Statistical analysis

Unpaired t-test was applied to detect significant differences between male and female subjects (Tables 2,3,4,5). The significance level was set to 0.05 (*), 0.01 (**), 0.001 (***), and 0.0001 (****). All data processing, data management, and statistical analysis were performed using Prism 6 for Windows (Version 6.0 5 (trial), GraphPad Software Inc.).
Table 2

Reference values of hematologic and urinalysis parameters for male cynomolgus monkeys

TestsItemUnitNMeanSDMINMAX
Hematology (Male)WBC×103/µL7611.423.614.4821.76
RBC×106/µL765.890.345.086.75
HGBg/dL7613.90.911.316.7
HCT%7645.73.335.454.4
MCVfL7677.74.568.289.5
MCHpg7623.61.220.526.4
MCHCg/dL7630.41.327.233.5
PLT×103/µL7643892275742
RETA×109/µL7673.529.825.5210.2
NEUA×103/µL765.773.571.1019.43
LYMA×103/µL765.192.081.8711.44
MONA×103/µL760.300.140.120.82
EOSA×103/µL740.070.080.010.49
BASA×103/µL750.040.020.010.10
LUCA×103/µL760.060.030.020.18
RDW%6012.30.711.014.7
RET%761.250.540.464.10
NEU%7648.416.48.389.3
LYM%7647.515.69.886.9
MON%712.71.10.55.9
EOS%750.60.60.13.4
BAS%760.30.20.10.8
LUC%760.60.30.11.8
MPVfL319.31.27.011.2
Urinalysis (Male)VOLml6943.640.93.5165.0
SG671.020.001.011.03
pH718159
U-Kmmol/L6162.4735.159.95152.93
U-Clmmol/L61482711125
U-Nammol/L6143226110
UTPmg/dL212.242.110.167.88
UGLUmg/dL42.70.91.63.6
UCREmg/dL5661.2438.456.28193.18
UALBmg/dL100.8430.6180.1792.200
P/Cratio210.0370.0370.0030.160
Table 3

Reference values of clinical chemistry and coagulation test parameters for male cynomolgus monkeys

TestsItemUnitNMeanSDMINMAX
Clinical Chemistry (Male)GLUmg/dL7276.127.529.4146.5
BUNmg/dL7225.54.617.236.8
CREAmg/dL720.940.140.701.37
TPg/dL768.230.587.209.83
ALBg/dL764.550.234.115.05
A/Gratio721.250.130.841.57
TCHOmg/dL761502997255
TGmg/dL7237.917.46.298.2
PLmg/dL3222733164303
ASTIU/L7661.421.830.4134.6
ALTIU/L7651.824.019.7176.8
TBILmg/dL760.2690.1100.1440.655
ALPIU/L761283.7389.5562.02633.2
CKIU/L56604498911869
Camg/dL7210.630.509.1911.96
IPmg/dL726.281.413.1710.54
Nammol/L721514142160
Kmmol/L725.210.813.947.93
Clmmol/L721063100113
GGTIU/L6576.3219.4135.58136.45
CRPmg/L511.491.330.136.81
LDHIU/L4914635447503858
HDLmg/dL2179.318.549.9116.7
LDLmg/dL2155.812.835.187.8
GLOg/dL563.650.472.975.34
C3mg/dL49126.822.878.1188.6
Coagulation Test (Male)PTsec709.80.68.311.3
APTTsec7019.12.015.728.0
FIBmg/dl5024558155463
Table 4

Reference values of hematologic and urinalysis parameters for female cynomolgus monkeys

TestsItemUnitNMeanSDMINMAX
Hematology (Female)WBC×103/µL3711.514.755.5826.60
RBC×106/µL375.580.384.976.45
HGBg/dL3713.50.612.014.7
HCT%3744.32.839.851.3
MCVfL3779.63.972.187.2
MCH*pg3724.21.022.226.8
MCHCg/dL3730.41.128.332.6
PLT×103/µL37459.182.5332673
RETA×109/µL3779.824.339.7131.1
NEUA×103/µL376.434.112.0019.63
LYMA×103/µL374.912.052.5011.75
MONA×103/µL370.280.120.090.56
EOSA×103/µL360.070.060.010.29
BASA×103/µL370.040.040.010.24
LUCA×103/µL370.070.050.010.22
RDW%1712.00.710.813.4
RET%371.440.460.702.41
NEU%3750.714.625.286.7
LYM%3745.214.011.070.8
MON%322.50.81.14.9
EOS%360.70.60.12.7
BAS%370.30.20.10.9
LUC%370.60.30.11.3
MPVfL78.70.48.39.4
Urinalysis (Female)VOLmL3583788340
SG361.0170.0041.0101.025
pH368179
U-Kmmol/L2655.0226.4412.27104.49
U-Clmmol/L2647221395
U-Nammol/L264222787
UTPmg/dL51.852.000.084.65
UGLUmg/dL41.90.71.12.6
UCREmg/dL2159.4432.026.50148.19
UALBmg/dL101.0520.7240.3112.561
P/Cratio50.0220.0190.0010.050
Table 5

Reference values of clinical chemistry and coagulation test parameters for female cynomolgus monkeys

TestsItemUnitNMeanSDMINMAX
Clinical Chemistry (Female)GLUmg/dL3772.934.831.3184.2
BUNmg/dL3722.63.815.532.2
CREAmg/dL370.900.120.691.20
TPg/dL378.180.507.309.39
ALBg/dL374.470.263.794.95
A/Gratio371.210.140.931.50
TCHOmg/dL371373660226
TGmg/dL3730.816.17.783.7
PLmg/dL2020439126277
ASTIU/L3662.739.122.7243.4
ALTIU/L3760.045.02.2283.7
TBILmg/dL370.2130.0710.0670.415
ALPIU/L371059.4324.9563.52256.8
CKIU/L333442251131054
Camg/dL3710.520.449.7711.55
IPmg/dL376.201.193.278.70
Nammol/L371504145165
Kmmol/L375.290.694.177.28
Clmmol/L371073102113
GGTIU/L3764.6816.5935.64106.73
CRPmg/L171.320.900.224.36
LDHIU/L1710823056821683
GLOg/dL173.650.442.934.63
C3mg/dL15109.821.473.4135.9
Coagulation Test (Female)PTsec379.70.58.811.3
APTTsec3719.32.016.624.1
FIBmg/dl1726156191386

Results and Discussion

In this study, hematological and biochemical analyses of 113 cynomolgus monkeys (76 males and 37 females) were performed in order to establish baseline reference indices for the macaque species. Also, limited data is available on coagulation and urinalysis parameters with some updated data on clinical chemistry parameters (e.g., PL, LDL, HDL, CRP, and C3) in cynomolgus monkeys. These reference indices are essential in evaluating preclinical findings and selecting healthy subjects. Although there are a few published studies reporting hematological and biochemical values in cynomolgus monkeys, these values may be influenced by various factors. Previous studies that have established reference values in cynomolgus monkeys with similar ages [145] are compared to the current study to identify inter-study variability. First, in the case of hematologic parameters, there were marked similarities between our study and previous study results (Tables 2 and 4). This indicates that the hematology data of cynomolgus monkeys are consistent and are not affected by environmental variables; hence, these data could be used to interpret the health of the monkey regardless of the region. Second, regarding clinical chemistry parameters, the values of aspartate transaminase (AST), alanine transaminase (ALT), LDH, CK, TCHO, CREA, and ALP observed in the present study were higher than those reported by Tadashi et al. (2005) [4]; further, LDH, CK, and AST values were higher than those reported by Schuurman and Smith (2005) [5] (Tables 3 and 5). Intra- and inter-study difference in nonhuman primates were known to more variable compare to rodent species. The variables that may account for inter-study variations in cynomolgus monkey include age, sex, geographic origin, presence/absence of anesthetics, fasting, and gravity [67891011]. In addition, analytical instruments, reagents, and methods are variables that could influence the values obtained for a particular parameter, particularly in serum chemistry analysis. These factors are considered by comparing our data to those of previous studies (analytical methods are shown in Table 1). The analytical instrument and methods (ALT, ALP, LDH, CREA, and Ca) employed by Tadashi et al. (2005) [4] were different to those employed in our study. Physiologic variance of the indices also affected inter-study variation. ALP is present in biliary and canalicular membranes, the kidney, intestine, and bone and age-related changes in osseous ALP were observed, reflecting bone growth in juvenile periods [1213]. LDH and CK were affected by skeletal muscle mass and there were many false positives for myotoxicity because of background injury associated with handling or restraint, especially with nonhuman primates since there were struggles, trauma, fever, and muscle puncture during sampling procedures [14]. Therefore, when applying these parameters, age, sex, body weight, and analytical methods should be considered to evaluate the data accurately. Third, in the coagulation study, mean PT and APTT values in male and female monkeys were 9.76 s and 9.75 s and 19.06 s and 19.33 s, respectively. No significant differences in PT and APTT were observed between male and female juvenile cynomolgus monkeys (Tables 3 and 5). Our study showed a similar result as previous research. However, it appears that there are significant differences in PT and APTT values between juvenile cynomolgus and rhesus monkeys; hence, the type of subspecies monkey should be considered [15]. Last, regarding the urinalysis parameters, values for urine SG, pH, U-K, U-Cl, and U-Na were similar between male and female monkeys (Tables 2 and 4). There is limited urinalysis data from previous study of cynomolgus monkeys; the urinalysis data obtained from the present study will be valuable for future study of cynomolgus monkeys. In the current study, sex-related differences were apparent in several hematological and biochemical parameters (Table 6). Red blood cell indices (RBC, HGB, and HCT) are important diagnostic parameters for anemia and internal hemorrhage. Consistent with previous data [1], our findings demonstrated that female monkeys have lower RBC, HGB, and HCT values than male monkeys. This tendency observed in red blood cell parameters was also observed in Sprague-Dawley rats and could be associated to the differential oxygen demand in relation to age and sex [16]. The clinical chemistry data showed that the most remarkable differences were observed in BUN, TBIL, ALP, CK, GGT, and LDH values (male vs. female, P<0.01). These indices showed sex-related difference attributed to the variation between male and female subjects in protein catabolism, food intake (BUN), mass of skeletal muscle (CK and LDH), specificity of tissue distribution (ALP), increased microsomal enzyme production, poor health condition (GGT) [3], and different rates of bilirubin metabolism (TBIL).
Table 6

Reference values of statistically significant sex differences

TestsItemSexMeanSDMINMAX
HematologyRBC****Male5.890.345.086.75
Female5.580.384.976.45
HGB*Male13.90.911.316.7
Female13.50.612.014.7
HCT*Male45.73.335.454.4
Female44.32.839.851.3
MCV*Male77.74.568.289.5
Female79.63.972.187.2
MCH*Male23.61.220.526.4
Female24.21.022.226.8
Clinical ChemistryBUN**Male25.54.617.236.8
Female22.63.815.532.2
TCHO*Male1502997255
Female1373660226
TG*Male37.917.46.298.2
Female30.816.17.783.7
PL*Male22733164303
Female20439126277
TBIL**Male0.2690.1100.1440.655
Female0.2130.0710.0670.415
ALP**Male1283.7389.5562.02633.2
Female1059.4324.9563.52256.8
CK**Male604498911869
Female3442251131054
GGT**Male76.3219.4135.58136.45
Female64.6816.5935.64106.73
LDH**Male14635447503858
Female10823056821683

Unpaired t-test was applied to detect significant differences between male and female subjects. The significance level was set to 0.05 (*), 0.01 (**), 0.001(***), and 0.0001(****).

In conclusion, there are significant similarities between studies in several parameters values including most blood indices; however, some parameters (e.g., LDH, ALP, and CK) displayed large inter-study variability. This study provides valuable supplementation to the less extensively studied clinical chemistry (e.g., PL, LDL, HDL, CRP, and C3), coagulation (FIB), and urinalysis parameters. Our results will thus provide supplemental information on reference data of clinical pathological parameters in cynomolgus monkeys.
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8.  ZIKV Demonstrates Minimal Pathologic Effects and Mosquito Infectivity in Viremic Cynomolgus Macaques.

Authors:  Sasha R Azar; Shannan L Rossi; Sherry H Haller; Ruimei Yun; Jing H Huang; Jessica A Plante; Jiehua Zhou; Juan P Olano; Christopher M Roundy; Kathryn A Hanley; Scott C Weaver; Nikos Vasilakis
Journal:  Viruses       Date:  2018-11-21       Impact factor: 5.048

9.  Natural History of Aerosol Induced Lassa Fever in Non‑Human Primates.

Authors:  Isaac L Downs; Carl I Shaia; Xiankun Zeng; Joshua C Johnson; Lisa Hensley; David L Saunders; Franco Rossi; Kathleen A Cashman; Heather L Esham; Melissa K Gregory; William D Pratt; John C Trefry; Kyle A Everson; Charles B Larcom; Arthur C Okwesili; Anthony P Cardile; Anna Honko
Journal:  Viruses       Date:  2020-05-29       Impact factor: 5.048

10.  Natural history of disease in cynomolgus monkeys exposed to Ebola virus Kikwit strain demonstrates the reliability of this non-human primate model for Ebola virus disease.

Authors:  Nancy A Niemuth; Dawn Fallacara; Cheryl A Triplett; Sanjay M Tamrakar; Alisha Rajbhandari; Clint Florence; Lucy Ward; Anthony Griffiths; Ricardo Carrion; Yenny Goez-Gazi; Kendra J Alfson; Hilary M Staples; Trevor Brasel; Jason E Comer; Shane Massey; Jeanon Smith; Andrew Kocsis; Jake Lowry; Sara C Johnston; Aysegul Nalca; Arthur J Goff; Amy C Shurtleff; Margaret L Pitt; John Trefry; Michael P Fay
Journal:  PLoS One       Date:  2021-07-02       Impact factor: 3.240

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