+ All Categories
Home > Documents > FACTORS AFFECTING HEMATOLOGY AND PLASMA …...CELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North...

FACTORS AFFECTING HEMATOLOGY AND PLASMA …...CELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North...

Date post: 13-May-2020
Category:
Upload: others
View: 24 times
Download: 0 times
Share this document with a friend
13
FACTORS AFFECTING HEMATOLOGY AND PLASMA BIOCHEMISTRY IN THE SOUTHWEST CARPET PYTHON (MORELIA SPILOTA IMBRICATA) Gillian L. Bryant, 1,3 Patricia A. Fleming, 1 Leanne Twomey, 2 and Kristin A. Warren 1 1 School of Veterinary & Biomedical Sciences, Murdoch University, South Street, Murdoch, Western Australia 6150, Australia 2 Vetpath Laboratory Services, 39 Epsom Avenue, Ascot, Western Australia 6104, Australia 3 Corresponding author (email: [email protected]) ABSTRACT: Despite increased worldwide popularity of keeping reptiles as pets, we know little about hematologic and biochemical parameters of most reptile species, or how these measures may be influenced by intrinsic and extrinsic factors. Blood samples from 43 wild-caught pythons (Morelia spilota imbricata) were collected at various stages of a 3-yr ecological study in Western Australia. Reference intervals are reported for 35 individuals sampled at the commencement of the study. As pythons were radiotracked for varying lengths of time (radiotransmitters were surgically implanted), repeated sampling was undertaken from some individuals. However, because of our ad hoc sampling design we cannot be definitive about temporal factors that were most important or that exclusively influenced blood parameters. There was no significant effect of sex or the presence of a hemogregarine parasite on blood parameters. Erythrocyte measures were highest for pythons captured in the jarrah forest and at the stage of radiotransmitter implantation, which was also linked with shorter time in captivity. Basophil count, the only leukocyte influenced by the factors tested, was highest when the python was anesthetized, as was globulin concentration. Albumin and the albumin:globulin ratio were more concentrated in summer (as was phosphorous) and at the initial stage of radiotransmitter placement (as was calcium). No intrinsic or extrinsic factors influenced creatinine kinase, aspartate aminotransferase, uric acid, or total protein. This study demonstrates that factors including season, location, surgical radiotransmitter placement, and anesthetic state can influence blood parameters of M. s. imbricata. For accurate diagnosis, veterinarians should be aware that the current reference intervals used to identify the health status of individuals for this species are outdated and the interpretation and an understanding of the influence of intrinsic and extrinsic factors are limited. Key words: Anesthetic, captivity, hemoparasite, radiotransmitter, reference intervals, reptile, season, snake. INTRODUCTION Monitoring hematologic measures and serum or plasma biochemical analytes is important for evaluating the health status of reptiles kept in captivity for research, as pets, or in zoos (Nordøy and Thoresen, 2002). Evaluating hematologic and bio- chemical responses can facilitate the diagnosis of stress and disease states in reptile species (Christopher et al., 1999). Blood analysis can be used to detect conditions such as anemia, inflammatory disease, parasitemia, hematopoietic disor- ders, and hemostatic alterations by com- paring individual samples with a clinically normal sample population (Campbell and Ellis, 2007). Reptilian blood analysis has not been evaluated for clinical application to the same extent as in mammals, although various blood values are known to be influenced by factors such as age, sex, and nutritional status (Campbell, 2004). Reference intervals have typically not accounted for these variations in intrinsic and environmental factors, mak- ing interpretation difficult (Campbell, 2004, 2006). The International Species Information System (ISIS) reports hematologic mea- sures and plasma biochemical analytes for samples collected from 25 pythons (Mor- elia spilota) from 10 institutions. However, no details are provided on source of the animals, nor is any information given to indicate sex, season, or length of time in captivity before blood sampling (Teare, 2002). The Near-Threatened southwest Journal of Wildlife Diseases, 48(2), 2012, pp. 282–294 # Wildlife Disease Association 2012 282
Transcript
Page 1: FACTORS AFFECTING HEMATOLOGY AND PLASMA …...CELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North Ryde, New South Wales, Australia) analyzer using the reptilian/avian setting to

FACTORS AFFECTING HEMATOLOGY AND PLASMA BIOCHEMISTRY

IN THE SOUTHWEST CARPET PYTHON (MORELIA

SPILOTA IMBRICATA)

Gillian L. Bryant,1,3 Patricia A. Fleming,1 Leanne Twomey,2 and Kristin A. Warren1

1 School of Veterinary & Biomedical Sciences, Murdoch University, South Street, Murdoch, Western Australia 6150,Australia2 Vetpath Laboratory Services, 39 Epsom Avenue, Ascot, Western Australia 6104, Australia3 Corresponding author (email: [email protected])

ABSTRACT: Despite increased worldwide popularity of keeping reptiles as pets, we know littleabout hematologic and biochemical parameters of most reptile species, or how these measuresmay be influenced by intrinsic and extrinsic factors. Blood samples from 43 wild-caught pythons(Morelia spilota imbricata) were collected at various stages of a 3-yr ecological study in WesternAustralia. Reference intervals are reported for 35 individuals sampled at the commencement of thestudy. As pythons were radiotracked for varying lengths of time (radiotransmitters were surgicallyimplanted), repeated sampling was undertaken from some individuals. However, because of ourad hoc sampling design we cannot be definitive about temporal factors that were most important orthat exclusively influenced blood parameters. There was no significant effect of sex or the presenceof a hemogregarine parasite on blood parameters. Erythrocyte measures were highest for pythonscaptured in the jarrah forest and at the stage of radiotransmitter implantation, which was alsolinked with shorter time in captivity. Basophil count, the only leukocyte influenced by the factorstested, was highest when the python was anesthetized, as was globulin concentration. Albumin andthe albumin:globulin ratio were more concentrated in summer (as was phosphorous) and at theinitial stage of radiotransmitter placement (as was calcium). No intrinsic or extrinsic factorsinfluenced creatinine kinase, aspartate aminotransferase, uric acid, or total protein. This studydemonstrates that factors including season, location, surgical radiotransmitter placement, andanesthetic state can influence blood parameters of M. s. imbricata. For accurate diagnosis,veterinarians should be aware that the current reference intervals used to identify the health statusof individuals for this species are outdated and the interpretation and an understanding of theinfluence of intrinsic and extrinsic factors are limited.

Key words: Anesthetic, captivity, hemoparasite, radiotransmitter, reference intervals,reptile, season, snake.

INTRODUCTION

Monitoring hematologic measures andserum or plasma biochemical analytes isimportant for evaluating the health statusof reptiles kept in captivity for research, aspets, or in zoos (Nordøy and Thoresen,2002). Evaluating hematologic and bio-chemical responses can facilitate thediagnosis of stress and disease states inreptile species (Christopher et al., 1999).Blood analysis can be used to detectconditions such as anemia, inflammatorydisease, parasitemia, hematopoietic disor-ders, and hemostatic alterations by com-paring individual samples with a clinicallynormal sample population (Campbell andEllis, 2007). Reptilian blood analysis hasnot been evaluated for clinical application

to the same extent as in mammals,although various blood values are knownto be influenced by factors such as age,sex, and nutritional status (Campbell,2004). Reference intervals have typicallynot accounted for these variations inintrinsic and environmental factors, mak-ing interpretation difficult (Campbell,2004, 2006).

The International Species InformationSystem (ISIS) reports hematologic mea-sures and plasma biochemical analytes forsamples collected from 25 pythons (Mor-elia spilota) from 10 institutions. However,no details are provided on source of theanimals, nor is any information given toindicate sex, season, or length of time incaptivity before blood sampling (Teare,2002). The Near-Threatened southwest

Journal of Wildlife Diseases, 48(2), 2012, pp. 282–294# Wildlife Disease Association 2012

282

Page 2: FACTORS AFFECTING HEMATOLOGY AND PLASMA …...CELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North Ryde, New South Wales, Australia) analyzer using the reptilian/avian setting to

carpet python (Morelia spilota imbricata)that inhabits southwest Western Australiameasures up to 2.4 m snout-to-vent length(SVL) and can weigh up to 6 kg (IUCN,1998; Pearson et al., 2002). Since 2003it has been legal to obtain a license andkeep reptiles as pets in Western Australia,including the southwest carpet python(Edwards, 2003). As part of a widerecology study on wild-caught M. s. im-bricata, blood samples were collected toassess whether the health of pythons wasadversely affected by having a radiotrans-mitter surgically implanted into theircoelomic cavity, which enabled in situmonitoring of individuals. This studytherefore presented a unique opportunityto carry out repeated sampling for thispopulation of wild pythons over time,before and after surgery. We presenthematologic and biochemical data col-lected from 43 individuals and analyzethe effects of season, sex, study site,anesthesia, duration of time in captivity,radiotransmitter placement over time, andthe presence of parasites (Haemogregari-na sp.) within red blood cells.

MATERIALS AND METHODS

Study animals and sample collection

Forty-three southwest carpet pythons werecollected through opportunistic hand capturefor an ecology and thermal biology researchproject. Individuals were captured in thesouthwest of Western Australia from twohabitat types (referred to elsewhere as studysite): 1) coastal woodland: included animalscaptured and monitored at Martin’s Tank(32u519S, 115u409E) and Leschenault Penin-sula Conservation Park (33u269S, 115u419E)and 2) jarrah forest: areas surrounding Dwell-ingup Township (32u439S, 116u49E). Thisproject was approved by the Animal EthicsCommittees of Murdoch University (W2028/07) and Department of Environment andConservation, Western Australia (DEC AEC/55/2006 and DEC AEC54/2006).

Body mass (Mb) was determined with acalibrated spring balance (60.2 kg), and SVLwas measured with a tape measure in a straightline along the ventral surface of the pythonfrom the tip of the mouth to the cloaca. Thesex of each python was determined by eversion

of hemipenes or by insertion of a lubricatedblunt probe into the cloaca and then directedtoward the tail to determine the presence orabsence of hemipenes. Sex was determined bydepth of the probe insertion, as measured bythe number of overlying subcaudal scales.Females probed to between one and fivescales, whereas males probed to depthsequivalent to 7–20 scales. Adult male pythonsweighed an average 6946(SD)285 g (range298–1,500 g) and measured SVL 134617 cm(range 97–170 cm). Adult female pythonsweighed 1,4206554 g (range 103–3,731 g)and measured SVL 1796119 (range 90–200cm).

Upon initial capture, pythons were broughtinto a holding facility at the DEC ResearchCenter, Dwellingup, Western Australia be-tween December 2006 and November 2008 toundergo surgical implantation of radiotrans-mitters (for surgical details see Bryant et al.,2010). When held at the research center, theanimals were housed in a 25 C temperature-controlled room in purpose-built ventilatedenclosures with flooring lined to approximately2-cm depth with recycled newspaper kittylitter (Old News Cat Litter, Ciber Cycles PtyLtd., Toowoomba, Queensland, Australia).The enclosures contained a hide box as acardboard box with an entrance hole cut intoone side, cage furniture including a branchand rocks, ad libitum water, and an externalheat pad positioned under the plywoodflooring that heated that portion of the cagefloor above the heat pad to approximately 30 C.All cages were kept in a room under naturallighting provided by a large window. If theywere held for .3 wk during warmer seasons,pythons were fed dead laboratory mice andrats that were stored frozen and thawed beforefeeding. Pythons were not fed during winter.Animals were held for varying lengths of timebecause of logistic reasons, including thenecessity of customizing a radiotransmitterfor surgical implantation. Length of time eachpython spent in captivity before samplecollection was recorded and scored for statis-tical analyses as 0–30 days (n533), 30–60 days(n518), and .60 days (n57).

We recorded repeated samples from py-thons at three time points; however, thenumber of samples collected from pythonsvaried between these points. At the initialstage of presurgical implantation of the radio-transmitter 38 blood samples were collectedin the laboratory (pre-TM, n538 individuals).Twenty four of these 38 pythons wereanesthetized via inhalation of 1.5% isofluranegas. The remaining 14 pythons were manuallyrestrained by holding carefully within calico

BRYANT ET AL.—HEMATOLOGY AND BIOCHEMISTRY OF SOUTHWEST CARPET PYTHON 283

Page 3: FACTORS AFFECTING HEMATOLOGY AND PLASMA …...CELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North Ryde, New South Wales, Australia) analyzer using the reptilian/avian setting to

bags, with the tail exposed for blood collectionfrom the ventral coccygeal vein. Animals wereopportunistically allocated to these two treat-ments on the basis of logistics around thetransportation of blood samples to the clinicallaboratory for analysis. The reference intervalswere calculated from the samples collectedfrom these 38 animals. Pythons were releasedapproximately 2 wk after surgical implantationand were radiotracked weekly to monitorfeeding behavior and habitat use. Whenpythons could be captured by hand from theirretreat site, 3–12 mo (average 6.8564.86 mo)postimplantation of radiotransmitters (post-TM, n522), a second blood sample wascollected from manually restrained consciousanimals in the field. One python was movedback into temporary captivity for surgicalreplacement of a radiotransmitter due tobattery failure, and the posttransmitter (sec-ond) blood sample was collected underanesthesia. Pythons were anesthetized at thetime of radiotransmitter removal, allowing athird (removal-TM, n520) blood sample.Twelve individuals lost their transmittersduring the period of tracking and 13 diedover the 3-yr study (postmortem examinationswere performed when possible and the resultsare presented elsewhere; Bryant, 2012). Intotal, we collected 77 blood samples from 43animals. Sixteen pythons were sampled once,17 were sampled twice, and 10 were sampledthree times.

A range of needle sizes (depending on thesize of the python; 25 G for SVL,100-cmpythons, 25 G, 23 G for intermediate sizes,and 21 G for SVL.150 cm) and a 2-ml syringe(BD PrecisionGlideTM Needle; BD Slip TipSyringe; Becton Dickinson, Singapore) wereused to collect blood samples from the ventralcoccygeal vein. Fresh blood smears withoutanticoagulate were made immediately aftercollection; the remainder of the sample wascarefully transferred immediately into 2-ml(13375 ml) lithium heparin vacutainers (BDVacutainerH, Becton Dickinson, Plymouth,UK) and kept refrigerated at approximately4 C during transportation to a commerciallaboratory. Analysis was completed by VetpathLaboratory Services (Ascot, Western Australia,Australia) within 48 hr of collection. Samplescollected in the field were kept on ice in aninsulated container or refrigerated whenpossible before transport to the laboratory.Whenever possible, a complete set of hema-tologic and plasma biochemical data wascollected from each blood sample. Incompleteblood analysis was common, generally dueto insufficient volumes of plasma for the fullbiochemistry panel.

Hematology analysis

Blood samples were analyzed using aCELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North Ryde, New South Wales,Australia) analyzer using the reptilian/aviansetting to take nucleated erythrocytes intoaccount. The blood variables analyzed includ-ed hemoglobin (Hb), packed cell volume(PCV), red blood cell count (RBC), meancell hemoglobin (MCH), mean cell volume(MCV), mean cell hemoglobin concentration(MCHC), and total white blood cell count(WBC) using the automated system. Manualcalculations for PCV were made to correcthemoglobin values (Hb, MCH, MCV, andMCHC) and if these measures did notcorrespond (8/77 samples), they were removedfrom further analysis and only PCV wasincluded.

Blood smears were air-dried and stainedwith Wright’s–Giemsa stain by an automatedslide stainer (Hematek, Siemens, OsbornePark, Western Australia). The proportions ofheterophils (including potential eosinophils,which could not be definitively identified bymorphology alone; Stirk et al., 2007), lympho-cytes, basophils, and combined monocytes/azurophils (Fig. 1a–d) were classified throughmanual counts of blood smears. Parasites inred blood cells that were morphologicallyconsistent with a Hemogregarina species werefound in some samples (Fig. 1e). Followingdescriptions provided by Mackerras (1961) ofthe seven Hemogregarina species found inAustralian Boidae (O’Donoghue and Adlard,2000), the species in this study appears to beHemogregarina moreliea. Samples were cate-gorized according to the presence or absenceof the hemoparasites in smears.

Plasma biochemical analysis

A minimum of 150 ml of plasma fromheparinized blood samples was used for bio-chemical analysis. Plasma was analyzed forcreatinine kinase (CK), aspartate aminotrans-ferase (AST), uric acid, total protein, albumin,globulin, albumin-to-globulin ratio (A/G),calcium, phosphorous, and glucose using anautomated chemical analyzer (Olympus AU400, Integrated Science, Tokyo, Japan). Be-cause of varying lengths of time beforelaboratory analysis (up to 48 hr) and incompletedata collection, glucose results are variable andtherefore, although range of data is indicated,caution should be taken when using the valuespresented here. For these reasons, multipleregression analyses were not performed onglucose.

284 JOURNAL OF WILDLIFE DISEASES, VOL. 48, NO. 2, APRIL 2012

Page 4: FACTORS AFFECTING HEMATOLOGY AND PLASMA …...CELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North Ryde, New South Wales, Australia) analyzer using the reptilian/avian setting to

Statistical analysis

Reference intervals for M. s. imbricata wereinvestigated for the first time period samplingpoint only (pre-TM implantation) for 38individuals. Blood samples from three femalepythons were removed as they were consid-ered outliers using Dixon’s range test withinthe program Reference Value Advisor V 1.4(Anonymous, 2010); reference intervals weretherefore calculated using blood samples for35 individuals. Standard descriptive statisticsinclude sample size, mean, standard deviation,minimum, median, and the maximum values.Normality tests were performed and if re-quired, data were transformed with Box-Coxtransformation. The lower and upper limit ofthe reference interval as well as the 2.5, 5, 90,and 97.5% confidence intervals are givenwhere possible using the program ReferenceValue Advisor V 1.4 (Anonymous, 2010).

Data from our study (M. s. imbricata) areexpressed as a proportion of reported ISISaverage values (M. spilota) following theformula:

Proportional difference~

Average M: s: imbricata{average M: spilotað Þ

=average M: spilota

Multiple regression analysis (Statistica 9.0,Statsoft Inc.) was carried out separately foreach blood measure (dependent variable)against the same independent factors: sex(male or female), study site (coastal woodlandor jarrah forest), season (summer: December–February; autumn: March–May; winter: June–August; spring: September–November), anes-thesia (anesthetized or conscious), the exper-imental phase of sample collection (threecategories: pre-TM, post-TM, and removal-TM), the time in captivity from capture untilsample collection (three categories: 0–30 days,31–60 days, and .60 days; animals sampledin the field were ascribed as 0 days), andhemoparasite presence (positive or negative).The blood variables examined included: Hb,PCV, RBC, MCH, MCV, MCHC, WBC,heterophil, lymphocyte, basophil, and com-bined monocyte and azurophil counts, CK,AST, uric acid, total protein, albumin, globu-lin, A/G ratio, calcium, and phosphorus.

Chi-square analysis was used to determinevariation in hemoparasite prevalence acrossseasons with the expected values calculatedassuming an equal proportion of the popula-tion was positive each season. A similaranalysis was carried out for H. morelieahemoparasite prevalence at each samplingperiod, assuming an equal proportion ofsamples collected pre-TM, post-TM, or re-moval-TM were positive (i.e., expected valuescalculated assuming an equal distributionacross these three time points). Chi-squareanalysis was also used to test for a significantdifference in H. moreliea prevalence betweenstudy sites.

RESULTS

Reference intervals

Reference intervals are shown for 35pythons for blood collected before surgicalimplantation of radiotransmitters (pre-TM) only (Table 1). Raw, untransformeddata are shown for reference intervals.Most average values found in this studywere similar (,20% difference) to pub-lished ISIS values for M. spilota (Teare,2002). However, MCV were twice those ofpublished ISIS values, WBC counts were

FIGURE 1. Peripheral blood films of a southwestcarpet python (Morelia spilota imbricata) showing: a)heterophil (black arrow); b) lymphocytes (blackarrows) and thrombocytes (open arrow); c) basophil(double black arrow); a lymphocyte (single blackarrow) and thrombocyte (open arrow) are alsovisible; d) azurophil (black arrow); and e) erythrocytecontaining a Hemogregarina moreliea hemoparasite(black arrow). Images (a–e) stained with Wright–Giemsa stain, 1,0003, bar 5 15 mm.

BRYANT ET AL.—HEMATOLOGY AND BIOCHEMISTRY OF SOUTHWEST CARPET PYTHON 285

Page 5: FACTORS AFFECTING HEMATOLOGY AND PLASMA …...CELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North Ryde, New South Wales, Australia) analyzer using the reptilian/avian setting to

TA

BL

E1.

Hem

atolo

gy

and

pla

sma

bio

chem

ical

valu

es

for

35

app

aren

tly

heal

thy,

wil

d-c

augh

tso

uth

west

carp

et

pyt

hon

s(M

orel

iasp

ilot

aim

bri

cata

)sa

mp

led

befo

rera

dio

tran

smit

ter

imp

lan

tati

on

.S

amp

lesi

zeva

ries

amon

gm

eas

ure

sb

eca

use

of

dif

fere

nce

sin

the

volu

me

of

blo

od

that

cou

ldb

eco

llect

ed

(som

ete

sts

not

con

du

cted

beca

use

of

smal

lsa

mp

lesi

ze),

du

eto

vari

atio

nin

tim

eto

anal

ysis

(not

all

sam

ple

sw

ere

anal

yzed

for

glu

cose

beca

use

of

tran

sport

dela

ys),

or

du

eto

dis

crep

anci

es

inery

thro

cyte

cou

nts

(see

text

for

furt

her

deta

il).

Val

ues

were

calc

ula

ted

usi

ng

Refe

ren

ceV

alu

eA

dvi

sor

v1.4

pro

gra

man

dgiv

en

toth

ree

sign

ific

ant

dig

its,

or

were

inte

rpre

ted

asze

rofo

rn

egat

ive

resu

lts.

Val

ue

nM

ean

Med

ian

SD

Min

imu

mM

axim

um

Co

nfi

den

cein

terv

als

Tra

nsf

orm

atio

na

Lo

wer

lim

itU

pp

er

lim

it2

.5%

5%

90

%9

7.5

%

Hem

oglo

bin

(g/l

)26

76.5

79.0

17.1

28.0

105

BoxC

ox

30.4

104

048.7

97.4

109

Pac

ked

cell

volu

me

30

0.2

32

0.2

40

0.0

51

0.0

80

0.3

0B

oxC

ox

0.0

90

0.3

07

00.1

55

0.2

93

0.3

19

Red

blo

od

cou

nt

(310

12/l

)26

0.6

69

0.7

00

0.1

74

0.2

00

0.9

00

BoxC

ox

0.0

27

0.9

05

Mean

cell

hem

oglo

bin

con

cen

trat

ion

(g/l

)26

343

342

17.7

315

374

UT

305

380

297

314

369

389

Mean

cell

hem

oglo

bin

(pg)

26

117

111

19.8

96.0

178

UT

67.2

152

51.0

86.1

133

170

Mean

cell

volu

me(f

l)26

339

327

49.5

279

484

UT

219

430

188

260

386

465

Wh

ite

blo

od

cell

cou

nt

(310

9/l

)35

14.9

13.4

6.9

44.9

029.3

UT

029.4

02.7

024.8

32.2

Hete

rop

hil

s(3

10

9/l

)31

7.7

27.1

35.1

70.4

10

24.8

BoxC

ox

0.6

20

21.7

0.1

41

1.7

916.8

27.1

Lym

ph

ocy

tes

(310

9/l

)35

3.0

92.5

92.1

90.4

00

10.3

BoxC

ox

0.3

67

9.0

70.2

75

0.6

03

6.9

111.3

Bas

op

hil

s(3

10

9/l

)28

0.2

32

0.1

55

0.2

46

0.0

00.9

40

BoxC

ox

01.2

17

00

0.7

78

1.8

3M

onoc

ytes

&az

uro

ph

ils(3

109/l)

32

4.5

73.9

42.7

61.0

812.3

BoxC

ox

1.0

812.9

0.7

68

1.5

09.7

717.0

Cre

atin

ine

kin

ase

(U/l

)32

1,8

80

1,6

51

1,1

15

365

5,1

47

BoxC

ox

379

4,7

67

293

542

3,7

26

5,7

46

Asp

arta

team

inot

ran

sfer

ase

(U/l)

32

84.8

63.0

63.8

17.0

259

BoxC

ox

17.8

296

13.9

23.6

187

445

Uri

cac

id(m

mol/

l)28

0.1

86

0.1

84

0.0

61

0.0

81

0.3

33

UT

0.0

47

0.3

01

0.0

19

0.0

88

0.2

67

0.3

42

Tota

lp

rote

in(g

/l)

32

73.0

71.5

11.7

56.0

105

UT

47.0

96.0

41.0

53.6

88.2

103

Alb

um

in(g

/l)

32

20.9

21.0

3.0

316.0

27.0

UT

14.5

27.1

13.0

15.7

25.3

28.8

Glo

bu

lin

(g/l

)32

52.0

50.5

9.2

539.0

78.0

UT

31.5

70.4

26.3

37.0

64.2

76.0

Alb

um

in-t

o-g

lob

uli

nra

tio

32

0.4

07

0.4

20

0.0

45

0.2

80

0.4

90

BoxC

ox

0.2

96

0.4

85

0.2

51

0.3

43

0.4

69

0.4

99

Cal

ciu

m(m

mol/

l)32

3.4

33.4

60.3

02.9

04.4

1U

T2.7

94.0

22.6

03.0

03.8

24.1

9P

hosp

horu

s(m

mol/

l)32

1.1

41.1

40.3

16

0.4

30

1.8

6U

T0.4

68

1.7

80.3

37

0.6

43

1.5

71.9

4G

luco

se(m

mol/

l)28

2.8

42.1

01.9

40.1

00

8.3

0B

oxC

ox

0.1

89

8.2

10.0

51

0.4

91

5.7

510.3

aU

T5

un

tran

sfo

rmed

rob

ust

dat

a;B

oxC

ox

5B

ox

Co

xro

bu

sttr

ansf

orm

atio

n.

286 JOURNAL OF WILDLIFE DISEASES, VOL. 48, NO. 2, APRIL 2012

Page 6: FACTORS AFFECTING HEMATOLOGY AND PLASMA …...CELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North Ryde, New South Wales, Australia) analyzer using the reptilian/avian setting to

40%, and heterophil counts were 172%

greater than ISIS values. All other leuko-cyte values were lower than those report-ed in ISIS for M. spilota. Creatinine kinase(+292%) and AST (+239%) were higherthan reference values and uric acid(257%), albumin (230%), calcium(246%), and phosphorous (259%) con-centrations were lower than average val-ues reported by ISIS.

Factors affecting hematologic measures andplasma biochemistry

Pythons from the jarrah forest hadgreater RBC (t5652.04, P,0.05) andlower concentrations of MCH (t565

22.41, P,0.05) and MCV (t56522.18,P,0.05) compared with pythons fromcoastal woodland. There was no statisticaldifference in any hematologic variable orplasma biochemical analytes betweenmales and females (all P.0.05, Tables 2and 3).

Season, anesthesia, surgical implanta-tion, and time in captivity significantlyinfluenced some hematologic and bio-chemical analytes; however, due to thelack of independence of the factors tested,the effects of season and radiotransmitterplacement cannot be differentiated. Sea-son significantly influenced values forMCH (t5653.33, P,0.01), MCV (t565

2.55, P,0.01), albumin (t6552.07,P,0.05), A/G ratio (t6552.42, P,0.05),and phosphorous (t6553.23, P,0.01). ForMCH, MCV, albumin, and phosphorous,the lowest average values were recordedin winter (Tables 2 and 3), whereas theA/G ratio peaked in summer (Table 3).Blood values were apparently influencedby anesthetic state, with anesthetizedanimals having higher average basophilcounts (t5552.10, P,0.05) and globulinconcentrations (t6552.01, P,0.05; Ta-bles 2 and 3). The A/G ratio was alsolower for anesthetized animals (t655

22.09, P,0.05; Table 3). The time ofblood collection (categorized by threestages of radiotransmitter implantation)influenced several hematologic parame-

ters (Hb: t5752.16, P,0.04; PCV:t5652.78, P,0.01; RBC: t5653.03,P,0.01; and basophil count: t55522.44,P,0.05) and plasma biochemical analytes(albumin: t6553.54, P,0.001; A/G ratio:t6554.24, P,0.001; and calcium: t6553.50,P,0.001). All these measures were high-est at the pre-TM implantation samplingperiod. The length of time in captivitybefore blood sample collection (0–30 days,30–60 days, or .60 days) significantlyinfluenced only MCH (t56522.09,P,0.05) and MCV measures (t56522.78,P,0.05; Table 2), where values werehigher for animals that had spent lesstime in captivity.

The presence of H. moreliea was onlymarginally associated with reduced totalprotein (t6551.88, P.0.06), albumin (t655

1.85, P.0.07), and globulin (t6551.88,P.0.06; Table 3) measures. There wasno significant difference in the occurrenceof the intracellular hemoparasite betweenpythons captured from coastal woodlandor jarrah forest (x2

152.43, P.0.05). Agreater proportion of blood samples col-lected from pythons during spring (Sep-tember–November) were positive forH. moreliea (x2

158.44, P,0.01; Fig. 2).Significantly more pythons sampled atremoval-TM were positive for hemogreg-arines compared with pre-TM and post-TM (x2

158.30, P,0.01; Fig. 2).

DISCUSSION

We examined the influence of intrinsicand extrinsic factors on hematologic pa-rameters and plasma biochemical analytesin a Western Australian python species.Health screening provides useful baselinedata for conservation management pro-grams of wild populations of threatenedspecies and for species held in captivity forzoologic collections and as pets (Espinosa-Aviles et al., 2009). We provide referenceintervals for wild-caught southwest carpetpythons that could contribute to healthscreening of these animals for conservationmanagement. There was no significant

BRYANT ET AL.—HEMATOLOGY AND BIOCHEMISTRY OF SOUTHWEST CARPET PYTHON 287

Page 7: FACTORS AFFECTING HEMATOLOGY AND PLASMA …...CELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North Ryde, New South Wales, Australia) analyzer using the reptilian/avian setting to

effect of sex or the presence of a hemo-gregarine parasite, but season, time incaptivity, anesthesia, and the stage ofradiotransmitter implantation did influenceblood parameters.

Because of the physiologic flexibility ofreptiles (e.g., poikilothermy, long-termfasting, and rapid up-regulation of thedigestive system upon feeding; Bedfordand Christian, 2001; Secor and Ott, 2007),reference intervals are difficult to establish(Campbell and Ellis, 2007). The overallaverage leukocyte counts in this study forM. s. imbricata varied substantially fromISIS reports for the species (all valuespresented as M. spilota). This discrepancymay reflect differences between subspe-cies of Morelia that include varying dietand potential climatic influences such asrainfall, temperature, and humidity, butalso reflects that ISIS values do not followthe current Clinical and Laboratory Stan-dards Institute (CLSI) guidelines for

calculation and presentation (C28-A3)and should be updated (CLSI, 2008).Leukocyte counts for M. s. imbricatadiffered from ISIS values in a mannerconsistent with heterophilia and lympho-penia, which can occur with a stressresponse to capture and handling inwild-caught pythons (Campbell, 2004,2006; Campbell and Ellis, 2007). Alterna-tively, there may be differences in leuko-cyte identification between individualpathologists. The high heterophil numbersby comparison with low lymphocytes,basophils, and monocytes/azurophils maysuggest the latter. However, we alsorecorded higher CK and AST in M. s.imbricata compared with ISIS averagevalues, which may suggest muscle damageassociated with handling of wild-caughtindividuals (assuming that the majority ofsamples used for the ISIS values are fromcaptive animals that may be habituated tohuman presence and handling). The

TABLE 2. Average6SD values for each hematologic measure analyzed by multiple regression for all factors.Bold values indicate a significant (* P,0.05, ** P,0.005, *** P,0.001) difference between the categories inthe analysis. Values to three significant digits.

Factor

Category, n5numberof pythons (N5number

of samples)Hb (g/l),

N565PCV (l/l),

N564RBC (31012/l)a,

N564MCH (pg)b,

N564

Study site Coastal, n528 (54) 69.6616.3 0.20960.050 *0.600±0.155 *118±17.5Jarrah forest, n513 (23) 74.369.62 0.22760.038 0.672±0.102 113±14.7

Sex Female, n519 (33) 68.7616.7 0.20360.053 0.58160.159 122621.7Male, n522 (44) 72.7613.0 0.22560.039 0.64960.128 113610.7

Season Summer, n523 (25) 80.2610.0 0.24160.031 0.68160.117 **120±23.1Autumn, n517 (17) 63.7618.0 0.19060.062 0.53660.169 121±14.1Winter, n511 (12) 65.0612.2 0.19560.042 0.61860.133 107±12.5Spring, n520 (23) 69.7613.4 0.21060.046 0.61760.138 115±9.32

State duringsampling

Anesthetized, n529 (42) 72.0615.7 0.21160.047 0.62360.154 117616.2Conscious n528 (35) 69.8613.7 0.22060.048 0.61760.136 116617.8

Radiotransmitter Pre, n535 (35) *76.5±17.1 *0.232±0.051 **0.669±0.174 116619.8Post, n522 (22) 66.6±12.6 0.199±0.042 0.575±0.107 118618.4Removal, n520 (20) 68.1±11.3 0.199±0.036 0.600±0.119 11569.39

Time in captivity 0–30 d, n531 (48) 71.0614.3 0.21560.045 0.61060.137 *120±19.030–60 d, n518 (21) 69.1617.5 0.21260.058 0.62460.179 112±11.0.60 d, n57 (8) 76.769.14 0.22060.025 0.68360.075 111±10.2

Parasite presence Negative, n537 (62) 72.6613.3 0.22160.042 0.64260.131 115615.8Positive, n511 (15) 65.0618.4 0.19260.057 0.54360.170 121620.2

Hb 5 hemoglobin; PCV 5 packed cell volume; RBC 5 red blood cell count; MCH 5 mean cell hemoglobin; MCV 5

mean cell volume; MCHC 5 mean cell hemoglobin concentration; WBC 5 total white blood cell count.a Nonnormal distribution for Box-Cox transformed data.b Box-Cox transformed data with normal distribution.

288 JOURNAL OF WILDLIFE DISEASES, VOL. 48, NO. 2, APRIL 2012

Page 8: FACTORS AFFECTING HEMATOLOGY AND PLASMA …...CELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North Ryde, New South Wales, Australia) analyzer using the reptilian/avian setting to

differences between values presented inthis study and reported ISIS values maytherefore reflect real differences for wild-caught animals.

Although multiple regression analysisshould simultaneously take multiple fac-tors into consideration in its computation,we nevertheless urge caution in interpre-tation of data where there are clearlyunequal samples collected for each factorand where multiple factors could influ-ence the results. Multiple regressionanalysis did not distinguish between sam-ples collected from male and female M. s.imbricata for either hematologic or plasmabiochemical analytes tested. Morelia spi-lota imbricata are capital breeders and willbreed only every second year, at best(Pearson, 2002). Over the 3-yr study, onlyseven females were identified as gravidonce over this time; only two of these weresampled while gravid (none were sampledpostoviposition) and they did not stand outas outliers. Therefore, to our knowledge,the majority of female M. s. imbricatasampled were nonreproductive. Similarly,serum biochemistry does not vary between

male and female black diamond watersnakes (Nerodia rhombifera rhombifera;McDaniel et al., 1984), a viviparousspecies. By contrast, other studies haveidentified sex differences in plasma ana-lytes for various species of snakes, withelevations of plasma calcium, phosphorus,and protein concentrations in femalesduring estrus and egg production (Des-sauer, 1970; Campbell, 2004). It is there-fore likely that blood measures only differbetween the sexes under specific repro-ductive states.

We found significant seasonal differencesfor MCH, MCV, albumin, A/G ratio, andphosphorous concentration. Wojtaszek (1992)noted a significant decrease in RBC, PCV,and Hb concentration in spring, the matingperiod for the grass snake (Natrix natrixnatrix), and attributed the hematologicchanges to a hormonal influence producedby decreased erythropoietic activity andfrom some RBC breakdown during winter.The reduction in albumin and phosphorousconcentrations in winter for M. s. imbricatais most likely associated with fasting(Campbell, 2004).

MCV (fl)b,N564

MCHC (g/l),N565

WBC (3109/l)b,N577

Heterophils(3109/l)b,

N577

Lymphocytes(3109/l)b,

N577

Basophils(3109/l)a,

N563

Monocytes &Auzurophils

(3109/l)b, N573

*348±59.4 338623.0 14.966.85 7.0560.75 3.1162.31 0.30960.326 4.2862.39327±46.0 346620.7 14.966.23 6.6264.02 2.9462.51 0.34560.240 4.8762.69358665.5 342620.9 15.868.08 7.2865.49 3.4562.64 0.23860.186 4.4562.83331646.4 339623.8 14.265.29 6.6663.68 2.7662.10 0.39360.354 4.4462.21

**351±72.7 343622.0 13.265.86 6.6564.11 2.8562.20 0.23360.282 4.2362.03355±48.5 340630.3 13.867.14 6.0763.68 2.9862.33 0.34560.278 4.3863.29323±54.1 333617.8 15.569.02 6.5465.77 2.5162.49 0.20760.234 4.8163.00333±38.5 341619.4 18.266.93 8.0664.85 3.6262.51 0.47860.315 4.8562.48336645.4 345619.1 14.466.15 7.2364.65 3.1562.26 *0.368±0.319 4.1962.39350667.3 334625.3 15.567.20 6.5664.41 2.9462.50 0.270±0.267 4.7862.58339649.5 343617.7 14.966.94 6.4063.76 3.0962.19 *0.232±0.246 4.5762.76356675.2 334629.6 13.867.40 6.7665.01 2.5462.38 0.286±0.286 4.1362.29332638.9 342619.4 16.165.11 8.0265.18 3.5662.61 0.521±0.314 4.5962.25

*356±61.0 337623.3 14.466.71 7.1264.95 2.9462.39 0.26660.214 4.1262.25320±39.8 343621.6 16.466.79 5.8463.87 3.3462.50 0.36660.375 5.1162.93313±30.9 354614.4 13.765.70 8.5762.85 3.0061.92 0.55360.414 4.7262.44341657.6 338622.8 14.866.81 6.5464.54 2.9662.42 0.31360.305 4.5462.59348653.5 347620.4 15.266.05 8.5264.22 3.4562.10 0.37160.257 4.1162.01

TABLE 2. Extended.

BRYANT ET AL.—HEMATOLOGY AND BIOCHEMISTRY OF SOUTHWEST CARPET PYTHON 289

Page 9: FACTORS AFFECTING HEMATOLOGY AND PLASMA …...CELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North Ryde, New South Wales, Australia) analyzer using the reptilian/avian setting to

TA

BL

E3.

Ave

rage6

SD

valu

es

for

eac

hp

lasm

ab

ioch

em

ical

meas

ure

anal

yzed

by

mu

ltip

lere

gre

ssio

nfo

ral

lfa

ctors

.B

old

valu

es

ind

icat

ea

sign

ific

ant

(*P

,0.0

5,

***

P,

0.0

01)

dif

fere

nce

betw

een

the

cate

gori

es

inth

ean

alys

is.

Val

ues

toth

ree

sign

ific

ant

dig

its.

Fac

tor

Cat

ego

ry,

n5

nu

mb

er

of

pyt

ho

ns

(N5

nu

mb

er

of

sam

ple

s)C

K(U

/l),

N5

71

AS

T(U

/l)a

,N

57

3

Uri

cac

id(m

mo

l/l)

a,

N5

68

To

tal

pro

tein

(g/l

),N

57

3

Alb

um

in(g

/l),

N5

73

Glo

bu

lin

(g/l

),N

57

3

Alb

um

in/

glo

bu

lin

rati

o,

N5

73

Ca

(mm

ol/

l)b,

N5

73

P(m

mo

l/l)

,N

57

3

Stu

dy

site

Coas

tal,

n5

28

(54)

1,6

306

889

61.7

634.0

0.2

956

0.2

38

71.6

612.8

17.9

63.7

554.0

611.4

0.3

406

0.0

76

3.2

16

0.3

59

1.0

66

0.2

95

Jarr

ahfo

rest

,n

513

(23)

1,9

106

1,2

00

88.6

684.1

0.1

856

0.0

69

76.6

613.4

21.0

63.2

555.7

611.7

0.3

876

0.0

77

3.2

66

0.7

88

1.2

16

0.4

37

Sex

Fem

ale,

n5

19

(33)

1,7

406

1,1

90

66.6

661.2

0.3

156

0.2

66

72.9

614.0

19.2

64.1

854.2

612.2

0.3

636

0.0

86

3.3

36

0.5

26

1.1

86

0.3

88

Mal

e,

n5

22

(44)

1,7

106

841

73.0

656.7

0.2

216

0.1

40

73.4

612.6

18.6

63.6

054.8

610.9

0.3

496

0.0

73

3.1

46

0.5

19

1.0

56

0.3

10

Seas

on

Su

mm

er,

n5

23

(25)

2,0

506

1,2

60

1046

72.0

0.2

116

0.1

36

73.7

611.5

*21.1

±2.8

552.6

69.5

5*0.4

09

±0.0

62

3.3

76

0.3

09

*1.3

0.3

95

Au

tum

n,

n5

17

(17)

1,8

606

907

61.7

633.3

0.2

846

0.2

13

72.8

613.3

19.4

±4.1

053.4

610.9

0.3

70

±0.0

80

3.1

36

0.8

41

1.1

0.2

79

Win

ter,

n5

11

(12)

1,4

106

776

45.2

623.4

0.3

656

0.3

21

67.7

614.4

16.5

±4.3

651.2

611.4

0.3

26

±0.0

64

3.0

46

0.3

75

0.7

81

±0.2

55

Sp

rin

g,

n5

20

(23)

1,4

106

715

53.1

654.7

0.2

456

0.1

87

75.8

614.0

17.4

±3.0

259.2

612.8

0.3

02

±0.0

61

3.2

36

0.5

02

1.0

0.2

19

Sta

ted

uri

ng

sam

pli

ng

An

esth

etiz

ed,

n5

29

(42)

1,5

256

709

53.1

633.7

0.2

236

0.1

58

74.3

613.3

18.9

63.5

9*55.8

±12.2

*0.3

51

±0.0

80

3.3

76

0.4

63

1.0

66

0.2

11

Con

scio

us

n5

28

(35)

1,9

406

1,2

10

88.7

672.8

0.3

016

0.2

46

72.0

613.0

18.9

64.1

653.1

±10.5

0.3

60

±0.0

78

3.0

66

0.5

51

1.1

66

0.4

53

Rad

io-

tran

smit

ter

Pre

,n

535

(35)

1,8

806

1,1

20

84.8

663.8

0.1

866

0.0

61

73.0

611.7

*20.9

±3.0

352.5

69.1

5***0.4

07

±0.0

45

*3.4

0.2

98

1.1

46

0.3

16

Post

,n

522

(22)

1,8

506

1,0

60

77.8

665.8

0.3

726

0.2

93

70.1

613.9

17.5

±4.2

752.6

611.4

0.3

38

±0.0

86

2.9

0.6

67

1.1

76

0.4

90

Rem

ova

l,n

520

(20)

1,3

306

569

38.8

615.7

0.2

556

0.1

98

76.7

614.3

17.1

±3.0

260.5

612.9

0.2

90

±0.0

54

3.2

0.5

23

1.0

06

0.1

68

Tim

ein

cap

tivi

ty0–30

d,

n5

31

(48)

1,6

806

904

62.8

650.5

0.2

826

0.2

23

72.7

613.0

18.7

63.8

854.5

611.1

0.3

536

0.0

79

3.2

86

0.4

52

1.0

86

0.3

84

30–60,

n5

18

d(2

1)

1,8

706

1,3

20

76.3

667.7

0.2

506

0.1

97

74.0

613.1

18.6

63.8

655.1

611.7

0.3

486

0.0

84

3.2

06

0.3

30

1.1

76

0.2

89

.60

d,

n5

7(8

)1,5

906

568

1016

74.8

0.1

536

0.0

48

74.7

616.3

20.7

63.6

454.0

613.0

0.3

916

0.0

50

2.9

06

1.1

41.1

36

0.2

78

Par

asit

ep

rese

nce

Negat

ive,

n5

37

(62)

1,8

306

1,0

30

77.9

662.4

0.2

456

0.1

46

74.5

612.1

19.4

63.7

055.5

610.7

0.3

606

0.0

82

3.2

36

0.5

08

1.1

06

0.3

83

Posi

tive

,n

511

(15)

1,3

306

761

40.4

621.7

0.3

166

0.3

49

68.0

615.9

16.8

63.8

051.2

613.1

0.3

356

0.0

64

3.2

16

0.6

15

1.1

46

0.1

77

CK

5cr

eat

inin

ekin

ase;

AS

T5

asp

arta

team

ino

tran

sfera

se.

aB

ox-

Co

x-tr

ansf

orm

ed

dat

aw

ith

no

rmal

dis

trib

uti

on

.b

No

nn

orm

ald

istr

ibu

tio

nfo

rB

ox-

Co

x-tr

ansf

orm

ed

dat

a.

290 JOURNAL OF WILDLIFE DISEASES, VOL. 48, NO. 2, APRIL 2012

Page 10: FACTORS AFFECTING HEMATOLOGY AND PLASMA …...CELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North Ryde, New South Wales, Australia) analyzer using the reptilian/avian setting to

The state of pythons during sampling(anesthetized or conscious) appeared toinfluence some blood measures. Basophilcount and globulin concentration wereelevated for anesthetized M. s. imbricata(and the reverse for the A/G ratio). Wehave little understanding of how anesthet-ics influence hematologic and biochemistryvalues in snakes (McDaniel et al., 1984).Further testing including perioperative,intraoperative, and postoperative stages ofanesthesia and surgery would be beneficialin deciphering the interpretation of anes-thetic effects on specific hematologic andplasma biochemical values.

The time individuals were sampled inrelation to radiotransmitter placementappeared to affect several hematologicand plasma biochemical values. However,given that we opportunistically collectedblood samples, it was not possible tocontrol for the seasonal spread of samplescollected at each radiotransmitter implan-tation stage. As pythons are most activeduring spring and summer, they were

opportunistically captured at higher ratesduring that time (20 of 35 samples werecollected in summer; Fig. 2), and thestudy concluded in spring of 2008 whenmost radiotransmitters were removed (19of 20 removal-TM samples were collectedin spring; Fig. 2). Hemoglobin, PCV,RBC, calcium, albumin, and the A/G ratiowere all highest at the pre-TM stage ofimplantation. The majority of pre-TMsamples were collected during summer,and although season did not statisticallyinfluence Hb, PCV, RBC, and calcium,the seasonal effect was significant foralbumin and A/G ratio. These parametersmay reflect hydration or nutritional status.A study by Lentini et al. (2011), specifi-cally designed to test the inflammatoryresponse of implanting radiotransmittersin rattlesnakes (Sistrurus catenatus cate-natus), found that 33% of implantedsnakes had grade 3 or higher reactions(on the basis of histopathologic tissueexamination) with extensive and activeinflammation. The reaction to the implant

FIGURE 2. Of 77 blood samples collected from 43 southwest carpet pythons Morelia spilota imbricata, agreater proportion of blood samples collected from pythons during spring was positive for intracellularhemoparasites (September–November; x2

158.44, P,0.01), whereas a greater proportion of samples collectedat the time of radiotransmitter removal was positive (x2

158.30, P,0.01) compared with preradiotransmitterand postradiotransmitter placement. The morphology of the hemoparasites seen in blood smears wasconsistent with Haemogregarina moreliea. The numbers shown in the table indicate sample size for eachsample group.

BRYANT ET AL.—HEMATOLOGY AND BIOCHEMISTRY OF SOUTHWEST CARPET PYTHON 291

Page 11: FACTORS AFFECTING HEMATOLOGY AND PLASMA …...CELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North Ryde, New South Wales, Australia) analyzer using the reptilian/avian setting to

was reflected with increases in counts ofheterophils and monocytes and a decreasein globulin concentrations after 6 mo.Hemoglobin was significantly lower com-pared with snakes without implants (Len-tini et al., 2011). Increases in theseleukocyte counts were not as pronouncedin our study at the three transmittersampling stages; however, reduced Hbconcentration at the last two samplingstages may indicate an anemic response,similar to that found by Lentini et al.(2011).

Hemogregarine parasites (Phylum Api-complexa, Family Haemogregorinidae)require a vertebrate host (e.g., reptiles)and an intermediate invertebrate host(e.g., ticks, mites, mosquitoes, or leeches)to complete their life cycle (Diethelm,2006). Infection with hemoparasites isoften subclinical in reptiles; however,heavy burdens can result in anemia(Diethelm, 2006). Hemogregarines arereasonably common among snake species,including brown tree snakes (Boiga irre-gularis) and slatey-grey snakes (Stegonotuscucullatus) from Queensland (Caudellet al., 2002). In these two species, therewas no significant difference betweeninfected (less than 10% of RBCs) andnoninfected snakes for Hb, PCV, albumin,calcium, phosphorus, protein, uric acid,AST, and CK (Caudell et al., 2002).Similarly, we found no significant differ-ences in any hematologic or biochemicalanalytes for M. s. imbricata according tohemogregarine parasite status. The inci-dence of hemoparasites in M. s. imbricatadid, however, vary significantly seasonally,with a greater prevalence in blood smearscollected in spring. Changes in seasonalprevalence of hemoparasites have beenobserved for some lizards, where there isgreater hemoparasite prevalence towardthe end of the mating season in spring(Amo et al., 2005; Huyghe et al., 2010),particularly in females (Amo et al., 2005).In comparison, males often show consis-tent levels of hemoparasite prevalenceacross seasons, which has been attributed

to the immunosuppressive effects of tes-tosterone (e.g., Amo et al., 2005). Increasingnumbers of invertebrate intermediate hostvectors during spring would potentiallydrive an increase in the prevalence of thehemoparasites and hence the number ofaffected vertebrate (python) hosts (Huygheet al., 2010). Furthermore, M. s. imbricatashow greater movement and activity pat-terns during spring (Pearson et al., 2005),which may increase exposure to intermedi-ate invertebrate hosts at this time. About95% of samples were collected frompythons in spring at the time of radio-transmitter removal and there was a signif-icant difference in the presence of hemo-parasites during this sampling period.Although no conclusions can be drawnregarding the relative influences of diet,breeding activity, or stage of capture/samplecollection, this seasonal pattern in hemo-parasites warrants further investigation.

In conclusion, it is important to con-sider a variety of factors when interpret-ing hematologic and biochemical valuesfor diagnosing diseases or evaluatinghealth status of pythons. We foundcompounded seasonal differences inblood analytes and the time of sampling,which may be related to feeding andhydration status. Although our data sug-gest an effect of radiotransmitter place-ment, we recommend that additionalresearch be undertaken. We hope toprovide the impetus to further improvethe understanding and interpretation ofhematology and biochemical analytes inreptile species.

ACKNOWLEDGMENTS

We thank all staff at Vetpath LaboratoryServices involved in analyzing samples for thisstudy. Thank you to all volunteers involved inhelping in fieldwork and assisting GLB withsample collection and delivery of samples toVetpath Laboratory Services, in particular M.Connor, S. Dundas, J. Clarke, J. Bryant, and A.Bryant. This project was financially supportedby the Department of Environment andConservation, Murdoch University and theAustralian Research Council LP0562099.

292 JOURNAL OF WILDLIFE DISEASES, VOL. 48, NO. 2, APRIL 2012

Page 12: FACTORS AFFECTING HEMATOLOGY AND PLASMA …...CELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North Ryde, New South Wales, Australia) analyzer using the reptilian/avian setting to

LITERATURE CITED

AMO, L., P. LOPEZ, AND J. MARTIN. 2005. Prevalenceand intensity of haemogregarine blood parasites andtheir mite vectors in the common wall lizard,Podarcis muralis. Parasitology Research 96: 378–381.

ANONYMOUS. 2010. Reference guide for ReferenceValue Advisor v1.4, Rykkinn, Norway, 7 pp.

BEDFORD, G. S., AND K. A. CHRISTIAN. 2001.Metabolic response to feeding and fasting inthe water python (Liasis fuscus). AustralianJournal of Zoology 49: 379–387.

BRYANT, G. L. 2012. Biology of the south west carpetpython (Morelia spilota imbricata): Is thereevidence for mesopredator release in responseto fox baiting? PhD Thesis, School of Veterinaryand Biomedical Sciences, Murdoch University,Perth, Western Australia, 232 pp.

———, P. EDEN, P. J. DE TORES, AND K. S. WARREN.2010. Improved procedure for implanting radio-transmitters in the coelomic cavity of snakes.Australian Veterinary Journal 88: 443–448.

CAMPBELL, T. W. 2004. Clinical chemistry of reptiles.In Veterinary hematology and clinical chemistry,M. A. Thrall (ed.). Blackwell Publishing Ltd,Oxford, UK, pp. 493–498.

———. 2006. Clinical pathology of reptiles. InReptile medicine and surgery, 2nd Edition, D.Mader (ed.). Saunders, Elsevier, Philadelphia,Pennsylvania, pp. 453–470.

———, AND C. ELLIS. 2007. Hematology of reptiles.In Avian and exotic animal hematology andcytology, T. W. Campbell and C. Ellis (eds.).Blackwell Publishing Ltd, Oxford, UK, pp. 51–81.

CAUDELL, J. N., J. WHITTIER, AND M. R. CONOVER.2002. The effects of haemogregarine-like para-sites on brown tree snakes (Boiga irregularis)and slatey-grey snakes (Stegonotus cucullatus) inQueensland, Australia. International Biodeterio-ration & Biodegradation 49: 113–119.

CHRISTOPHER, M., K. BERRY, I. WALLIS, K. NAGY, B.HENEN, AND C. PETERSON. 1999. Referenceintervals and physiologic alterations in hemato-logic and biochemical values of free-rangingdesert tortoises in the Mojave Desert. Journal ofWildlife Diseases 35: 212–238.

CLINICAL AND LABORATORY STANDARDS INSTITUTE

(CLSI). 2008. Defining, establishing, and veri-fying reference intervals in the clinical laborato-ry: Approved guideline, 3rd Edition. Clinical andLaboratory Standards Institute, Wayne, Penn-sylvania, 59 pp.

DESSAUER, H. C. 1970. Blood chemistry of reptiles:Physiological and evolutionary aspects. In Biol-ogy of the reptilia, C. Cans and T. S. Parsons(eds.). Academic Press, New York, New York,pp. 1–72.

DIETHELM, G. 2006. Haemoparasites. In Reptile med-icine and surgery, D. R. Mader (ed.). WB Saunders,Philadelphia, Pennsylvania, pp. 1103–1117.

EDWARDS, J. 2003. Wildlife conservation (reptilesand amphibians; pet herpetofauna) notice 2003.Government Gazette Wildlife Conservation Act1950 CO301, The Department of Environmentand Conservation, Perth, Western Australia,pp. 658–659.

ESPINOSA-AVILES, D., V. M. SALOMON-SOTO, AND S.MORALES-MARTINEZ. 2009. Hematology, bloodchemistry, and bacteriology of the free-rangingMexican beaded lizard (Heloderma horridum).Journal of Zoo and Wildlife Medicine 39: 21–27.

HUYGHE, K., A. VAN OYSTAEYEN, F. PASMANS, Z. TADIC,B. VANHOOYDONCK, AND R. VAN DAMME. 2010.Seasonal changes in parasite load and a cellularimmune response in a colour polymorphiclizard. Oecologia 163: 867–874.

INTERNATIONAL UNION FOR CONSERVATION OF NATURE

(IUCN). 1998. Guidelines for re-introductions.Prepared by the IUCN/SSC Re-introductionSpecialist Group. Gland, Switzerland and Cam-bridge, UK, 10 pp.

LENTINI, A. M., G. J. CRAWSHAW, L. E. LICHT, AND

D. J. MCLELLAND. 2011. Pathologic and hemato-logic responses to surgically implanted transmit-ters in eastern massasauga rattlesnakes (Sistruruscatenatus catenatus). Journal of Wildlife Diseases47: 107–125.

MACKERRAS, M. 1961. The haematozoa of Australianreptiles. Australian Journal of Zoology 9: 61–122.

MCDANIEL, R., W. GRUNOW, J. DALY, AND M.PLUMMER. 1984. Serum chemistry of the dia-mond-backed water snake (Nerodia rhombiferarhombifera) in Arkansas. Journal of WildlifeDiseases 20: 44–46.

NORDØY, E. S., AND S. I. THORESEN. 2002. Referencevalues for serum biochemical parameters in free-ranging harp seals. Veterinary Clinical Pathology31: 98–106.

O’DONOGHUE, P. J., AND R. D. ADLARD. 2000.Catalogue of protozoan parasites recorded inAustralia. Memoirs of the Queensland Museum45: 1–163.

PEARSON, D. 2002. The ecology and conservation ofthe south-western Australian carpet python,Morelia spilota imbricata. PhD Thesis, Schoolof Biological Sciences, University of Sydney,Sidney, New South Wales, Australia, 152 pp.

———, R. SHINE, AND A. WILLIAMS. 2002. Geograph-ic variation in sexual size dimorphism within asingle snake species (Morelia spilota, Pythoni-dae). Oecologia 13: 418–426.

———, ———, AND ———. 2005. Spatial ecology ofa threatened python (Morelia spilota imbricata)and the effects of anthropogenic habitat change.Austral Ecology 30: 261–274.

SECOR, S. M., AND B. D. OTT. 2007. Adaptivecorrelation between feeding habits and digestivephysiology for boas and pythons. In Biology ofthe boas and pythons, R. W. Henderson and R.

BRYANT ET AL.—HEMATOLOGY AND BIOCHEMISTRY OF SOUTHWEST CARPET PYTHON 293

Page 13: FACTORS AFFECTING HEMATOLOGY AND PLASMA …...CELL-DYNTM (Cell Dyn 3700, Abbott Diag-nostics, North Ryde, New South Wales, Australia) analyzer using the reptilian/avian setting to

Powell (eds.). Eagle Mountain Publishing, EagleMountain, Utah, pp. 257–268.

STIRK, N., I. R. ALLENMAN, AND K. E. HARR. 2007.Circulating and inflammatory cells. In Infectiousdiseases and pathology of reptiles, E. R.Jacobson (ed.). CRC Press: Taylor & FrancisGroup, Boca Raton, Florida, pp. 167–189.

TEARE, J. A. (ed.). 2002. Reference ranges forphysiological values in captive wildlife: Interna-tional Species Information System physiological

data reference values. ISIS, Eagan, Minnesota,on CD-ROM.

WOJTASZEK, J. S. 1992. Seasonal changes of circu-lating blood parameters in the grass snakeNatrix natrix natrix. Comparative Biochemistryand Physiology Part A: Physiology 103: 461–471.

Submitted for publication 4 August 2010.Accepted 1 October 2011.

294 JOURNAL OF WILDLIFE DISEASES, VOL. 48, NO. 2, APRIL 2012


Recommended