Skip to main content
Laboratory Animal Research logoLink to Laboratory Animal Research
. 2019 Jul 24;35:7. doi: 10.1186/s42826-019-0006-0

Reference values of hematological and biochemical parameters in young-adult cynomolgus monkey (Macaca fascicularis) and rhesus monkey (Macaca mulatta) anesthetized with ketamine hydrochloride

Bon-Sang Koo 2,#, Dong-Ho Lee 1,#, Philyong Kang 3, Kang-Jin Jeong 2, Sangil Lee 1, Kijin Kim 1, Youngjeon Lee 2,4, Jae-Won Huh 2,4, Young-Hyun Kim 2,4, Sang-Je Park 2, Yeung Bae Jin 2, Sun-Uk Kim 3,4, Ji-Su Kim 1,4, Yeonghoon Son 1,, Sang-Rae Lee 2,4,
PMCID: PMC7081622  PMID: 32257895

Abstract

Nonhuman primate models are valuable in biomedical research. However, reference data for clinical pathology parameters in cynomolgus and rhesus monkeys are limited. In the present study, we established hematologic and biochemical reference intervals for healthy cynomolgus and rhesus monkeys anesthetized with ketamine hydrochloride. A total of 142 cynomolgus monkeys (28 males and 114 females) and 42 rhesus monkeys (22 males and 20 females) were selected and analyzed in order to examine reference intervals of 20 hematological and 16 biochemical parameters. The effects of sex were also investigated. Reference intervals for hematological and biochemical parameters were separately established by species (cynomolgus and rhesus) and sex (male and female). No sex-related differences were determined in erythrocyte-related parameters for cynomolgus and rhesus monkey housed in indoor laboratory conditions. Alkaline phosphatase and gamma glutamyltransferase were significantly lower in females than males in both cynomolgus and rhesus monkeys aged 48–96 months. The reference values for hematological and biochemical parameters established herein might provide valuable information for researchers using cynomolgus and rhesus monkeys in experimental conditions for biomedical studies.

Keywords: Non-human primate, Hematology, Biochemistry, Cynomolgus monkey, Rhesus monkey

Introduction

Non-human primates (NHPs) are valid and indispensable animal models for biomedical research because humans and NHPs are similar in behavior, physiology, and organ function. Additionally, the immune systems of NHPs are more similar genetically to humans than other animal models such as rodents, rabbits, and dogs. For example, rodents, who are evolutionary and genetically distant from humans, share only 64% genome identity with humans [1], while macaques and humans are 92% genetically similar [2]. The cynomolgus (Macaca fascicularis) and the rhesus macaque (Macaca mulatta) are the most widely used NHP models in various biomedical research fields, including genomic analysis [3] and neurodegenerative disease [4, 5], as well as reproductive biomedical research [68].

As a result of the increased use of cynomolgus and rhesus monkeys in biomedical research, it is necessary to establish the hematological and biochemical parameters of these monkey species. Reference values are imperative to support the selection of healthy animals and to interpret laboratory data in NHP models. Studies have shown differences in blood hematology and biochemistry for laboratory cynomolgus and rhesus macaques according to origin, age, sex, and species [911]. Comparative blood values were reported between cynomolgus and rhesus monkeys [9]. Other report have demonstrated that some biochemical and hematological analytes were significantly influenced by sex in cynomolgus from Mauritius [10]. In addition, previous studies have reported that hematological and biochemical parameters can vary due to pre-analytical and environmental conditions [10, 12]. Previous report also investigated that the alterations of hematological and serum biochemical values can be found in animals with ketamine anesthesia [12]. However, despite the importance of non-human primates in biomedical research, only a few studies have examined the reference intervals of hematology and biochemistry for cynomolgus and rhesus macaques kept under laboratory conditions. Therefore, the aim of this study was to provide comprehensive and accurate reference intervals of hematological and biochemical values for evaluating individual health condition indices of individually housed cynomolgus and rhesus macaques prior to their use in biomedical studies.

Materials and methods

Animals

The study population was composed of 142 cynomolgus monkeys (28 males and 114 females; age: 48–96 months) and 42 rhesus monkeys (22 males and 20 females; age: 48–96 months) obtained from China using a Convention on International Trade in Endangered Species of Wild Fauna and Flora permit. All experimental animals were considered “young-adult,” according to the age classification standards for humans to macaques [1315]. The monkeys in this study were housed in individual cages with sliding horizontal divider in the National Primate Research Center (NPRC) at the Korea Research Institute of Bioscience and Biotechnology (KRIBB). The monkeys were housed in stainless-steel cages (600 W × 800 L × 800H mm) and the environment was controlled to provide a temperature of 23 ± 1 °C, a relative humidity of 50 ± 5%, and a 12:12 h light-dark cycle. Animals were fed twice daily with fresh fruits and commercial food intended for laboratory primates (Harlan primate diet, USA), and water was available ad libitum. All monkeys were determined to be healthy by history and veterinary examination and all procedures were approved by the animal care and use committee of KRIBB (Approval No. KRIBB-AEC-11010, 15031, 16067). In addition, all experiments were conducted in compliance with national guidelines and complying with the Guide for the Care and Use of Laboratory Animals [16]. Hematology and biochemistry data reported in the present study were derived during NPRC health monitoring at KRIBB between 2014 and 2016. No animals were sacrificed in this study.

Blood sampling and preparation

After overnight fasting (14–16 h), animals were deeply anesthetized with ketamine (5 mg/kg) by intramuscular injection, and 4-ml blood samples were drawn from femoral veins using 23-gauge needles. Then, 1-ml aliquots from all blood samples were individually transferred into dipotassium ethylenediaminetetraacetic acid (EDTA-K2) tubes for hematological analysis, and the remaining 3-ml aliquots were transferred into heparin tubes, where plasma was separated by centrifugation at 1600 g for 15 min for biochemical analysis. All samples were processed within 2 h of blood draw.

Hematological and biochemical analysis

Prior to hematological testing, each sample was gently homogenized on a blood tube roller mixer for 15 min. Hematology measurements were performed on whole blood using a HEMAVET 950FS hematology analyzer (Drew Scientific, Cumbria, UK). Biochemical analysis was carried out using a Dri-Chem 7000i biochemistry analyzer (Fujifilm, Tokyo, Japan). Parameters, abbreviations, and units of hematological and biochemical values are listed in Table 1.

Table 1.

Abbreviations, units of measure, methods for hematological and biochemical parameters

Parameter Abbreviation Unit
Hematology
 Red blood cell RBC 106/μL
 Hemoglobin Hb g/dL
 Hematocrit HCT %
 Mean corpuscular volume MCV fL
 Mean corpuscular hemoglobin MCH pg
 Mean corpuscular hemoglobin concentration MCHC g/dL
 Red blood cell volume distribution width RDW %
 White blood cell WBC 103/μl
 Neutrophil Neut 103/μl
 Neutrophil percentage Neut %
 Lymphocyte Lymph 103/μl
 Lymphocyte percentage Lymph %
 Monocyte Mono 103/μl
 Monocyte percentage Mono %
 Eosinophil Eosin 103/μl
 Eosinophil percentage Eosin %
 Basophil Baso 103/μl
 Basophil percentage Baso %
 Platelet PLT 103/μl
 Mean platelet volume MPV fL
Biochemistry
 Aspartate aminotransferase AST U/l
 Alanine aminotransferase ALT U/l
 Alkaline phosphatase ALP U/l
 Blood urea nitrogen BUN mg/dl
 Creatinine CRE mg/dl
 Glucose GLU mg/dl
 Total cholesterol TCHO mg/dl
 Albumin ALB g/dl
 Total protein TP g/dl
 Triglyceride TG mg/dl
 Total bilirubin TBIL mg/dl
 Inorganic phosphorus IP mg/dl
 Calcium Ca mg/dl
 Gamma glutamyltransferase GGT U/l
 Lactate dehydrogenase LDH U/l
 Direct bilirubin DBIL mg/dl

Statistical analysis

Data are reported as mean ± SD. The results of hematological and biochemical parameters were analyzed using two-tailed Student’s t-tests (Graphpad Prism 6) in order to detect significant differences between the male and female members of each species. In all analyses, a p-value less than 0.05 was deemed to indicate statistical significance.

Results

Reference ranges of hematological and biochemical parameters in cynomolgus and rhesus monkeys

Reference ranges of hematological and biochemical parameters are reported in Tables 2, 3, 4 and 5. Tables 2 and 3 list the reference values in cynomolgus and rhesus monkeys, respectively, for red blood cell (RBC) count, hemoglobin (Hb), hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), red cell distribution width (RDW), white blood cell (WBC) count, neutrophil (Neut) count, lymphocyte (Lymph) count, monocyte (Mono) count, eosinophil (Eosin) count, basophil (Baso) count, percent WBC for differential counts, platelet (PLT) count, and mean platelet volume (MPV). Tables 4 and 5 include the results for levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), blood urea nitrogen (BUN), creatinine (CRE), glucose (GLU), total cholesterol (TCHO), albumin (ALB), total protein (TP), triglyceride (TG), total bilirubin (TBIL), inorganic phosphate (IP), calcium (Ca), gamma glutamyl transferase (GGT), lactate dehydrogenase (LDH), and direct bilirubin (DBIL) in cynomolgus and rhesus macaques, respectively

Table 2.

Hematological parameter values of cynomolgus monkeys aged 48–96 months

Parameter (unit) Males
(n = 28)
Females
(n = 114)
Male range
(n = 28)
Female range
(n = 114)
RBC (106/μl) 5.40 ± 0.36 5.30 ± 0.51 4.73–6.46 4.16–7.32
Hb (g/dl) 11.6 ± 1.05 11.1 ± 1.16 10.1–14.8 9.10–17.00
HCT (%) 40.4 ± 3.17 38.4 ± 3.87* 35.6–49.2 31.6–57.2
MCV (fl) 74.8 ± 3.91 72.6 ± 3.94* 68.0–83.5 63.8–82.9
MCH (pg) 21.5 ± 1.45 21.1 ± 1.18 18.4–23.9 17.1–24.2
MCHC (g/dl) 28.8 ± 1.15 29.1 ± 1.16 24.4–30.1 23.6–33.9
RDW (%) 13.9 ± 0.73 14.2 ± 0.68 12.5–15.6 12.9–16.4
WBC (103/μl) 7.46 ± 2.12 7.86 ± 2.74 3.88–11.3 3.04–18.4
Neut (103/μl) 4.30 ± 1.88 4.33 ± 2.22 1.49–8.6 1.07–14.9
Neut (%) 57.2 ± 18.5 54.3 ± 13.8 30.52–88.24 18.6–82.0
Lymph (103/μl) 2.71 ± 1.45 3.05 ± 1.40 0.59–5.33 0.85–7.87
Lymph (%) 36.7 ± 17.5 39.6 ± 13.1 8.64–61.13 12.3–70.4
Mono (103/μl) 0.19 ± 0.11 0.19 ± 0.10 0.03–0.50 0.03–0.66
Mono (%) 2.50 ± 1.16 2.49 ± 1.02 0.56–6.06 0.65–5.87
Eosin (103/μl) 0.25 ± 0.10 0.27 ± 0.11 0.08–0.47 0.09–0.65
Eosin (%) 3.44 ± 1.47 3.55 ± 1.13 1.04–9.58 1.55–6.91
Baso (103/μl) 0.01 ± 0.01 0.01 ± 0.01 0.00–0.04 0.00–0.06
Baso (%) 0.14 ± 0.14 0.10 ± 0.10 0.00–0.52 0.00–0.64
PLT (103/μl) 410 ± 104 437 ± 78.4 233–712 281–672
MPV (fl) 10.8 ± 1.42 11.5 ± 1.64 8.90–14.8 7.60–16.3

Table 3.

Hematological parameter values of rhesus monkeys aged 48–96 months

Parameter (unit) Males
(n = 22)
Females
(n = 20)
Male range
(n = 22)
Female range
(n = 20)
RBC (106/μl) 5.39 ± 0.66 5.27 ± 0.67 4.39–7.02 3.85–6.63
Hb (g/dl) 11.4 ± 1.35 11.6 ± 1.37 9.60–14.3 9.20–14.3
HCT (%) 37.8 ± 5.10 39.5 ± 5.07 25.5–46.9 30.1–52.0
MCV (fl) 72.2 ± 2.94 75.0 ± 4.01* 67.6–77.5 68.7–83.5
MCH (pg) 21.2 ± 1.59 22.0 ± 1.37 18.7–26.0 20.0–24.8
MCHC (g/dl) 29.5 ± 2.33 29.4 ± 1.58 25.7–36.9 27.2–33.7
RDW (%) 13.9 ± 0.71 14.0 ± 0.71 12.7–15.2 12.8–15.4
WBC (103/μl) 6.31 ± 2.62 7.36 ± 1.79 3.10–12.1 4.60–11.1
Neut (103/μl) 3.37 ± 1.95 3.75 ± 1.04 1.29–8.90 2.19–5.43
Neut (%) 52.3 ± 15.2 51.6 ± 11.4 34.2–87.9 33.1–72.9
Lymph (103/μl) 2.43 ± 1.29 3.02 ± 1.29 0.44–5.45 1.43–6.51
Lymph (%) 39.8 ± 14.5 40.4 ± 11.2 5.49–59.4 20.6–61.4
Mono (103/μl) 0.17 ± 0.13 0.22 ± 0.12 0.06–0.52 0.07–0.58
Mono (%) 2.75 ± 1.40 2.94 ± 1.17 0.75–6.15 0.95–5.39
Eosin (103/μl) 0.33 ± 0.18 0.36 ± 0.17 0.09–0.67 0.13–0.72
Eosin (%) 5.13 ± 1.89 4.94 ± 2.07 1.48–8.60 2.03–9.49
Baso (103/μl) 0.00 ± 0.01 0.01 ± 0.01 0.00–0.02 0.00–0.02
Baso (%) 0.08 ± 0.07 0.10 ± 0.07 0.00–0.27 0.00–0.27
PLT (103/μl) 321 ± 100 346 ± 57.9 155–619 260–461
MPV (fl) 10.9 ± 1.67 11.5 ± 2.40 8.00–14.8 9.20–18.1

Table 4.

Biochemical parameter values of cynomolgus monkeys aged 48–96 months

Parameter (unit) Males
(n = 28)
Females
(n = 114)
Male range
(n = 28)
Female range
(n = 114)
AST (U/l) 33.6 ± 24.5 31.9 ± 15.3 15.0–114 13.0–106
ALT (U/l) 8.70 ± 6.92 11.8 ± 10.9 1.00–29.0 1.00–56.0
ALP (U/l) 667 ± 337 376 ± 133*** 188–1670 158–741
BUN (mg/dl) 18.6 ± 5.37 16.1 ± 4.23* 7.20–30.7 7.50–28.0
CRE (mg/dl) 0.94 ± 0.27 0.71 ± 0.20*** 0.60–1.60 0.10–1.10
GLU (mg/dl) 67.5 ± 18.5 67.4 ± 16.4 33.0–120 26.0–130
TCHO (mg/dl) 105 ± 27.8 123 ± 31.4* 52.0–164 37.0–203
ALB (g/dl) 3.87 ± 0.49 3.85 ± 0.38 2.90–4.90 2.20–4.80
TP (g/dl) 6.68 ± 0.66 6.72 ± 0.60 5.40–7.60 4.60–8.10
TG (mg/dl) 42.4 ± 37.6 46.4 ± 28.0 8.00–215 9.00–213
TBIL (mg/dl) 0.27 ± 0.18 0.34 ± 0.26 0.10–0.08 0.10–2.30
IP (mg/dl) 4.35 ± 1.14 3.74 ± 1.10* 1.20–6.90 1.10–6.60
Ca (mg/dl) 8.30 ± 0.82 8.44 ± 0.67 6.80–9.90 6.20–9.90
GGT (U/l) 83.4 ± 33.1 63.7 ± 26.2** 35.0–181 1.00–199
LDH (U/l) 268 ± 198.8 194 ± 100.7** 53.0–900 31.0–467
DBIL (mg/dl) 0.13 ± 0.06 0.19 ± 0.12* 0.10–0.30 0.10–0.80

Table 5.

Biochemical parameter values of rhesus monkeys aged 48–96 months

Parameter (unit) Males
(n = 22)
Females
(n = 20)
Male range
(n = 22)
Female range
(n = 20)
AST (U/l) 25.7 ± 10.3 20.0 ± 8.55 12.0–55.0 7.00–42.0
ALT (U/l) 9.80 ± 5.87 8.20 ± 6.12 1.00–29.0 1.00–22.0
ALP (U/l) 629 ± 320 386 ± 192*** 42.1–1635 146–791
BUN (mg/dl) 15.3 ± 3.80 15.0 ± 3.62 10.2–22.6 9.30–23.7
CRE (mg/dl) 0.89 ± 0.18 0.82 ± 0.16 0.60–1.20 0.50–1.10
GLU (mg/dl) 74.0 ± 20.7 81.1 ± 18.1 33.0–120 55.0–126
TCHO (mg/dl) 112 ± 32.5 129 ± 26.5 17.0–170 74.0–182
ALB (g/dl) 4.50 ± 0.33 4.30 ± 0.58 3.90–5.10 3.10–5.20
TP (g/dl) 6.70 ± 0.81 7.32 ± 0.84** 3.90–7.80 5.20–8.70
TG (mg/dl) 41.9 ± 26.2 44.3 ± 16.6 7.40–134 19.0–78.0
TBIL (mg/dl) 0.27 ± 0.12 0.20 ± 0.10* 0.10–0.70 0.10–0.40
IP (mg/dl) 4.55 ± 0.79 4.37 ± 0.80 3.30–6.60 3.10–6.00
Ca (mg/dl) 8.35 ± 0.77 8.36 ± 0.92 7.00–9.80 6.40–9.50
GGT (U/l) 84.8 ± 27.7 66.8 ± 24.8* 2.00–128 24.0–130
LDH (U/l) 136 ± 58.9 130 ± 64.4 59.0–287 33.0–224
DBIL (mg/dl) 0.19 ± 0.14 0.20 ± 0.10 0.10–0.50 0.10–0.40

Effect of sex on hematological values in cynomolgus and rhesus monkeys

Hematological analysis results are presented in Tables 2 and 3. No significant changes was found on RBC count both in cynomolgus (Table 2) and rhesus monkeys (Table 3). In terms of the effects of sex, HCT and MCV values were significantly higher in the male cynomolgus monkeys than in the female monkeys. In the rhesus monkeys, MCV showed significantly lower values in males than in females. WBC counts tended to increase in female compared to male macaques, although there were no significant differences. In addition, no significant changes were observed in PLT parameters in both cynomolgus and rhesus monkeys.

Effect of sex on biochemical values in cynomolgus and rhesus monkeys

The results obtained from analyzing biochemical parameters are listed in Tables 4 and 5. ALP and GGT values were significantly higher in males than in females in both cynomolgus and rhesus macaques (Tables 4 and 5). Significant sex-related differences were noted for BUN and CRE in cynomolgus monkeys. In addition, IP and LDH concentrations were found to be significantly higher levels in male than female cynomolgus monkeys. Moreover, significant effects by sex were also shown for TCHO, and DBIL in cynomolgus monkeys aged between 48 and 96 months. In rhesus monkeys, sex had a statistically significant effect on TP and TBIL.

Discussion

In the present study, the biochemistry and hematology of young-adult NHPs (cynomolgus and rhesus macaques) housed in indoor individual cages were analyzed to establish reference indices for several parameters. In addition, we pointed to fasting, sedation of the monkeys, which might be one of the important factor of variation.

Cynomolgus and rhesus monkeys both belong to the macaque family and have been increasingly used in various biomedical research fields. Due to the close relationship between humans and macaques, the cynomolgus and rhesus monkey, the most commonly used non-human primates in medical research, serves as a valuable animal model in neuroscience, aging disease, reproductive physiological, and behavioral research [17]. Previous studies have reported reference values for clinical chemistry and hematology parameters in cynomolgus monkeys [11, 18] as well as in rhesus macaques [19, 20]. However, large discrepancies exist in the reported results, which might be influenced by age [11], sex [10], species [15], sedation, or fasting before blood sampling [12]. Therefore, it is essential to establish proper reference values to assess health condition, biological variation, or the effects of drugs or endocrine-disrupting chemicals on the basis of each environmental system.

One of the potential sources of variation in this study were the fasting prior to blood sampling. Due to the housing conditions, we were able to assure that all monkeys were strictly fasted overnight, because food remains were retrieved after the last feeding schedule. Although it has been previously reported that fasting is not an absolute prerequisite in hematology [21], it could be clinically relevant in monkeys if the fasting duration exceeds 16 h [22]. Therefore, about 16-h fasting duration used in this study might be clinically relevant reference values for NHPs.

Another pre-analytical variable in this study was the sedation of animals with ketamine prior to blood sampling. A previous study demonstrated that ketamine anesthesia reduces leukocyte count in cynomolgus monkeys [23]. Further, reduced leukocyte counts have been observed in rhesus monkeys with ketamine sedation [24]. It has been reported that ketamine anesthesia significantly reduces WBC counts and lymphocyte percentages in cynomolgus monkeys compared to non-anesthetized animals [12]. In the present study, WBC counts were relatively low compared to previous studies [12, 19], and there was a slight elevation in the subpopulation of neutrophils, which might be caused by the potentially stressful environmental conditions (e.g. individual cages).

Sex-related differences were expected in hematology and biochemistry analytes. It has been previously reported that males show significantly higher values for RBC count, Hb, and HCT in cynomolgus monkey [11, 25] as well as human [26], which might be related to menstruation-related blood loss. However, other studies have reported no effect by sex on any red blood cell analytes [18, 21]. In the present study, there were no marked differences in erythrocyte levels between females and males in either cynomolgus or rhesus macaques. These discrepancies might be due to the differences in the reference sample group (24–36 month-olds vs 48–96 month-olds) or environmental conditions (indoor vs outdoor). Sex-associated differences have also been reported in various biochemical parameters. One previous study reported that ALP concentrations were lower in females than males in cynomolgus monkeys who were over 37 months in age [11]. Previous study also reported that the mean levels of ALP concentrations were significantly higher in boys than girls, indicating that similar changes in ALP was also reported in humans [27]. In addition, sex-related difference in GGT levels have been demonstrated in cynomolgus monkeys [28]. Likewise, we observed that the concentrations of ALP and GGT were significantly higher in males than in females in both cynomolgus and rhesus monkeys aged between 48 and 96 months.

In conclusion, we focused our analysis in order to establish baseline values of hematological and biological parameters in two species of NHPs (cynomolgus and rhesus monkeys) with experimental conditions. Because the pre-analytical and analytical conditions were notably different, it is difficult to compare the observed values in the present study with those in the literature. However, the reference ranges of hematological and biological parameters established in the present study might be representative of a reference population of young-adult cynomolgus and rhesus macaques housed in stressing conditions and may therefore serve as a basis for selecting healthy animals and evaluating preclinical studies. Further comprehensive studies are required to explore the effect of age and sex on physiological parameters in animals with other ages, including infant to juvenile (0–5 years), middle-aged adults (10–20 years), and old adults (20+ years).

Acknowledgements

Not applicable.

Authors’ contributions

BSK and DHL carried out the experiment. PK, KJJ, SL, and KK contributed to sample preparation. YL,  JWH, YHK, and SJP conceived and planned the experiments. YBJ, SUK, and JSK contributed to the interpretation of the results. YS took the lead in writing the manuscript. SRL supervised the project. All authors provided critical feedback and helped shape the research, analysis and manuscript. All authors read and approved the final manuscript.

Funding

This research was supported from the KRIBB Research Initiative Program grant (KGM5161914, KGM5281921).

Availability of data and materials

The datasets generated or analysed during this study are included in this published article.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Bon-Sang Koo and Dong-Ho Lee contributed equally to this work.

Contributor Information

Yeonghoon Son, Phone: +82 63 570 5313, Email: sonyh@kribb.re.kr.

Sang-Rae Lee, Phone: +82 43 240 6322, Email: srlee@kribb.re.kr.

References

  • 1.Gibbs RA, Weinstock GM, Metzker ML, Muzny DM, Sodergren EJ, Scherer S, Scott G, Steffen D, Worley KC, Burch PE, Okwuonu G, Hines S, Lewis L, DeRamo C, Delgado O, Dugan-Rocha S, Miner G, Morgan M, Hawes A, Gill R, Celera HRA, Adams MD, Amanatides PG, Baden-Tillson H, Barnstead M, Chin S, Evans CA, Ferriera S, Fosler C, Glodek A, Gu Z, Jennings D, Kraft CL, Nguyen T, Pfannkoch CM, Sitter C, Sutton GG, Venter JC, Woodage T, Smith D, Lee HM, Gustafson E, Cahill P, Kana A, Doucette-Stamm L, Weinstock K, Fechtel K, Weiss RB, Dunn DM, Green ED, Blakesley RW, Bouffard GG, De Jong PJ, Osoegawa K, Zhu B, Marra M, Schein J, Bosdet I, Fjell C, Jones S, Krzywinski M, Mathewson C, Siddiqui A, Wye N, McPherson J, Zhao S, Fraser CM, Shetty J, Shatsman S, Geer K, Chen Y, Abramzon S, Nierman WC, Havlak PH, Chen R, Durbin KJ, Egan A, Ren Y, Song XZ, Li B, Liu Y, Qin X, Cawley S, Worley KC, Cooney AJ, D’Souza LM, Martin K, Wu JQ, Gonzalez-Garay ML, Jackson AR, Kalafus KJ, McLeod MP, Milosavljevic A, Virk D, Volkov A, Wheeler DA, Zhang Z, Bailey JA, Eichler EE, Tuzun E, Birney E, Mongin E, Ureta-Vidal A, Woodwark C, Zdobnov E, Bork P, Suyama M, Torrents D, Alexandersson M, Trask BJ, Young JM, Huang H, Wang H, Xing H, Daniels S, Gietzen D, Schmidt J, Stevens K, Vitt U, Wingrove J, Camara F, Mar Alba M, Abril JF, Guigo R, Smit A, Dubchak I, Rubin EM, Couronne O, Poliakov A, Hubner N, Ganten D, Goesele C, Hummel O, Kreitler T, Lee YA, Monti J, Schulz H, Zimdahl H, Himmelbauer H, Lehrach H, Jacob HJ, Bromberg S, Gullings-Handley J, Jensen-Seaman MI, Kwitek AE, Lazar J, Pasko D, Tonellato PJ, Twigger S, Ponting CP, Duarte JM, Rice S, Goodstadt L, Beatson SA, Emes RD, Winter EE, Webber C, Brandt P, Nyakatura G, Adetobi M, Chiaromonte F, Elnitski L, Eswara P, Hardison RC, Hou M, Kolbe D, Makova K, Miller W, Nekrutenko A, Riemer C, Schwartz S, Taylor J, Yang S, Zhang Y, Lindpaintner K, Andrews TD, Caccamo M, Clamp M, Clarke L, Curwen V, Durbin R, Eyras E, Searle SM, Cooper GM, Batzoglou S, Brudno M, Sidow A, Stone EA, Venter JC, Payseur BA, Bourque G, Lopez-Otin C, Puente XS, Chakrabarti K, Chatterji S, Dewey C, Pachter L, Bray N, Yap VB, Caspi A, Tesler G, Pevzner PA, Haussler D, Roskin KM, Baertsch R, Clawson H, Furey TS, Hinrichs AS, Karolchik D, Kent WJ, Rosenbloom KR, Trumbower H, Weirauch M, Cooper DN, Stenson PD, Ma B, Brent M, Arumugam M, Shteynberg D, Copley RR, Taylor MS, Riethman H, Mudunuri U, Peterson J, Guyer M, Felsenfeld A, Old S, Mockrin S, Collins F, Rat Genome Sequencing Project C Genome sequence of the Brown Norway rat yields insights into mammalian evolution. Nature. 2004;428(6982):493–521. doi: 10.1038/nature02426. [DOI] [PubMed] [Google Scholar]
  • 2.Grow DA, McCarrey JR, Navara CS. Advantages of nonhuman primates as preclinical models for evaluating stem cell-based therapies for Parkinson's disease. Stem Cell Res. 2016;17(2):352–366. doi: 10.1016/j.scr.2016.08.013. [DOI] [PubMed] [Google Scholar]
  • 3.Lee JR, Park SJ, Kim YH, Choe SH, Cho HM, Lee SR, Kim SU, Kim JS, Sim BW, Song BS, Jeong KJ, Lee Y, Jin YB, Kang P, Huh JW, Chang KT. Alu-derived alternative splicing events specific to Macaca lineages in CTSF gene. Mol Cells. 2017;40(2):100–108. doi: 10.14348/molcells.2017.2204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Yeo HG, Lee Y, Jeon CY, Jeong KJ, Jin YB, Kang P, Kim SU, Kim JS, Huh JW, Kim YH, Sim BW, Song BS, Park YH, Hong Y, Lee SR, Chang KT. Characterization of cerebral damage in a monkey model of Alzheimer's disease induced by Intracerebroventricular injection of Streptozotocin. J Alzheimers Dis. 2015;46(4):989–1005. doi: 10.3233/JAD-143222. [DOI] [PubMed] [Google Scholar]
  • 5.Yi Kyung Sik, Choi Chi-Hoon, Lee Sang-Rae, Lee Hong Jun, Lee Youngjeon, Jeong Kang-Jin, Hwang Jinwoo, Chang Kyu-Tae, Cha Sang-Hoon. Sustained diffusion reversal with in-bore reperfusion in monkey stroke models: Confirmed by prospective magnetic resonance imaging. Journal of Cerebral Blood Flow & Metabolism. 2016;37(6):2002–2012. doi: 10.1177/0271678X16659302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kim Yoon, Kang Byeong-Cheol, Yun Jun, Ahn Jae, Kim Yong, Kim Hoon, Rosenwaks Zev, Ku Seung-Yup. Expression of Transcripts in Marmoset Oocytes Retrieved during Follicle Isolation Without Gonadotropin Induction. International Journal of Molecular Sciences. 2019;20(5):1133. doi: 10.3390/ijms20051133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kim YY, Yun JW, Kim JM, Park CG, Rosenwaks Z, Liu HC, Kang BC, Ku SY. Gonadotropin ratio affects the in vitro growth of rhesus ovarian preantral follicles. J Investig Med. 2016;64(4):888–893. doi: 10.1136/jim-2015-000001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Yun JW, Kim YY, Ahn JH, Kang BC, Ku SY. Use of nonhuman primates for the development of bioengineered female reproductive organs. Tissue Eng Regen Med. 2016;13(4):323–334. doi: 10.1007/s13770-016-9091-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Matsumoto K, Akagi H, Ochiai T, Hagino K, Sekita K, Kawasaki Y, Matin MA, Furuya T. Comparative blood values of Macaca mulatta and Macaca fascicularis. Jikken Dobutsu. 1980;29(3):335–340. [PubMed] [Google Scholar]
  • 10.Naiken S, Griffiths MA, Hurdial JR, Narainapoulle S, Honess P. Reference intervals for biochemical and haematological analytes of juvenile captive-bred long-tailed macaques (Macaca fascicularis) from Mauritius with examination of the effects of individual characteristics using principal component analysis. J Med Primatol. 2016;45(6):277–289. doi: 10.1111/jmp.12224. [DOI] [PubMed] [Google Scholar]
  • 11.Xie L, Xu F, Liu S, Ji Y, Zhou Q, Wu Q, Gong W, Cheng K, Li J, Li L, Fang L, Zhou L, Xie P. Age- and sex-based hematological and biochemical parameters for Macaca fascicularis. PLoS One. 2013;8(6):e64892. doi: 10.1371/journal.pone.0064892. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Kim CY, Lee HS, Han SC, Heo JD, Kwon MS, Ha CS, Han SS. Hematological and serum biochemical values in cynomolgus monkeys anesthetized with ketamine hydrochloride. J Med Primatol. 2005;34(2):96–100. doi: 10.1111/j.1600-0684.2005.00097.x. [DOI] [PubMed] [Google Scholar]
  • 13.Darusman HS, Call J, Sajuthi D, Schapiro SJ, Gjedde A, Kalliokoski O, Hau J. Delayed response task performance as a function of age in cynomolgus monkeys (Macaca fascicularis) Primates. 2014;55(2):259–267. doi: 10.1007/s10329-013-0397-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Moss MB, Moore TL, Schettler SP, Killiany R, Rosene D. Successful vs. Unsuccessful Aging in the Rhesus Monkey. In: Riddle DR (Ed). Boca Raton: Brain aging: models, methods, and mechanisms; 2007. [PubMed]
  • 15.Sharma P, Chennareddi L, Greene-Hartsfield EZ, Villinger F, Cohen JK, Herndon JG. Hematology and serum chemistry values of sooty mangabeys (Cercocebus atys): comparison with rhesus monkeys. J Med Primatol. 2014;43(2):78–88. doi: 10.1111/jmp.12091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.National Research Council (U.S.) Committee for the update of the guide for the care and use of laboratory animals., Institute for Laboratory Animal Research (U.S.), and National Academies Press (U.S.). Guide for the care and use of laboratory animals. Washington, D.C: National Academies Press; 2011. p. 220. [Google Scholar]
  • 17.Yan G, Zhang G, Fang X, Zhang Y, Li C, Ling F, Cooper DN, Li Q, Li Y, van Gool AJ, Du H, Chen J, Chen R, Zhang P, Huang Z, Thompson JR, Meng Y, Bai Y, Wang J, Zhuo M, Wang T, Huang Y, Wei L, Li J, Wang Z, Hu H, Yang P, Le L, Stenson PD, Li B, Liu X, Ball EV, An N, Huang Q, Zhang Y, Fan W, Zhang X, Li Y, Wang W, Katze MG, Su B, Nielsen R, Yang H, Wang J, Wang X, Wang J. Genome sequencing and comparison of two nonhuman primate animal models, the cynomolgus and Chinese rhesus macaques. Nat Biotechnol. 2011;29(11):1019–1023. doi: 10.1038/nbt.1992. [DOI] [PubMed] [Google Scholar]
  • 18.Koga T, Kanefuji K, Nakama K. Individual reference intervals of hematological and serum biochemical parameters in cynomolgus monkeys. Int J Toxicol. 2005;24(5):377–385. doi: 10.1080/10915810500208058. [DOI] [PubMed] [Google Scholar]
  • 19.Chen Y, Qin S, Ding Y, Wei L, Zhang J, Li H, Bu H, Lu Y, Cheng J. Reference values of clinical chemistry and hematology parameters in rhesus monkeys (Macaca mulatta) Xenotransplantation. 2009;16(6):496–501. doi: 10.1111/j.1399-3089.2009.00554.x. [DOI] [PubMed] [Google Scholar]
  • 20.Lee JI, Shin JS, Lee JE, Jung WY, Lee G, Kim MS, Park CG, Kim SJ. Changes of N/L ratio and cortisol levels associated with experimental training in untrained rhesus macaques. J Med Primatol. 2013;42(1):10–14. doi: 10.1111/jmp.12023. [DOI] [PubMed] [Google Scholar]
  • 21.Bourges-Abella N, Geffre A, Moureaux E, Vincenti M, Braun JP, Trumel C. Hematologic reference intervals in Cynomolgus (Macaca fascicularis) monkeys. J Med Primatol. 2014;43(1):1–10. doi: 10.1111/jmp.12077. [DOI] [PubMed] [Google Scholar]
  • 22.Zeng XC, Yang CM, Pan XY, Yao YS, Pan W, Zhou C, Jiang ZR, Chang Y, Ma J. Effects of fasting on hematologic and clinical chemical values in cynomolgus monkeys (Macaca fascicularis) J Med Primatol. 2011;40(1):21–26. doi: 10.1111/j.1600-0684.2010.00444.x. [DOI] [PubMed] [Google Scholar]
  • 23.Yoshida T, Suzuki K, Shimizu T, Cho F, Honjo S. The effects of ketamine anesthesia on hematological and serum biochemical values in female cynomolgus monkeys (Macaca fascicularis) Jikken Dobutsu. 1986;35(4):455–461. doi: 10.1538/expanim1978.35.4_455. [DOI] [PubMed] [Google Scholar]
  • 24.Bennett JS, Gossett KA, McCarthy MP, Simpson ED. Effects of ketamine hydrochloride on serum biochemical and hematologic variables in rhesus monkeys (Macaca mulatta) Vet Clin Pathol. 1992;21(1):15–18. doi: 10.1111/j.1939-165X.1992.tb00576.x. [DOI] [PubMed] [Google Scholar]
  • 25.Sugimoto Y, Hanari K, Narita H, Honjo S. Normal hematologic values in the cynomolgus monkeys aged from 1 to 18 years. Jikken Dobutsu. 1986;35(4):443–447. doi: 10.1538/expanim1978.35.4_443. [DOI] [PubMed] [Google Scholar]
  • 26.Castro OL, Haddy TB, Rana SR. Age- and sex-related blood cell values in healthy black Americans. Public Health Rep. 1987;102(2):232–237. [PMC free article] [PubMed] [Google Scholar]
  • 27.Krabbe S, Christiansen C, Rodbro P, Transbol I. Pubertal growth as reflected by simultaneous changes in bone mineral content and serum alkaline phosphatase. Acta Paediatr Scand. 1980;69(1):49–52. doi: 10.1111/j.1651-2227.1980.tb07028.x. [DOI] [PubMed] [Google Scholar]
  • 28.Rosso MC, Badino P, Ferrero G, Costa R, Cordero F, Steidler S. Biologic data of Cynomolgus monkeys maintained under laboratory conditions. PLoS One. 2016;11(6):e0157003. doi: 10.1371/journal.pone.0157003. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Data Availability Statement

The datasets generated or analysed during this study are included in this published article.


Articles from Laboratory Animal Research are provided here courtesy of Korean Association for Laboratory Animal Science

RESOURCES