ABSTRACT TRIVEDI, SHWETA. Host cytokines and immune responses in pregnancy associated transmission of arrested hookworm larvae (Under the direction of Dr. Prema Arasu) Over one billion people worldwide are infected with the hookworms, Necator and Ancylostoma spp. Upon entry into the host, infective larvae (third stage L3 which are free-living and non-feeding) typically mature into blood-feeding adults in the small intestines. An important aspect of the life cycle for A. duodenale (humans) and A. caninum (dogs) is the propensity for L3 to undergo a temporary state of developmental arrest in the host. In female hosts, these tissue-arrested L3 reactivate during pregnancy and are transmitted to the neonates through milk. During pregnancy transforming growth factor (TGF)-β is apparently upregulated in host tissues including the mammary gland. Studies from the free-living nematode Caenorhabditis elegans show that TGF-β and insulin-like signaling pathways regulate larval arrest and resumption of development. Similar signaling pathways are proposed in the pregnancy-associated reactivation of arrested Ancylostoma larvae. We have previously used an in vitro assay to demonstrate that recombinant human TGF-β can stimulate a feeding response in tissue-arrested A. caninum L3 larvae. We speculate that host factors like TGF-β and pregnancy hormones such as estrogen and prolactin signal arrested L3 larvae to resume development. To facilitate analyses of mechanisms of reactivation and transmission in vivo, we have utilized a mouse model of A. caninum infection; mice serve as an excellent model because infective L3 do not develop into adults but migrate to different somatic tissues
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ABSTRACT
TRIVEDI, SHWETA. Host cytokines and immune responses in pregnancy
associated transmission of arrested hookworm larvae (Under the direction of
Dr. Prema Arasu)
Over one billion people worldwide are infected with the hookworms, Necator and
Ancylostoma spp. Upon entry into the host, infective larvae (third stage L3 which are
free-living and non-feeding) typically mature into blood-feeding adults in the small
intestines. An important aspect of the life cycle for A. duodenale (humans) and A.
caninum (dogs) is the propensity for L3 to undergo a temporary state of developmental
arrest in the host. In female hosts, these tissue-arrested L3 reactivate during pregnancy
and are transmitted to the neonates through milk. During pregnancy transforming growth
factor (TGF)-β is apparently upregulated in host tissues including the mammary gland.
Studies from the free-living nematode Caenorhabditis elegans show that TGF-β and
insulin-like signaling pathways regulate larval arrest and resumption of development.
Similar signaling pathways are proposed in the pregnancy-associated reactivation of
arrested Ancylostoma larvae. We have previously used an in vitro assay to demonstrate
that recombinant human TGF-β can stimulate a feeding response in tissue-arrested A.
caninum L3 larvae. We speculate that host factors like TGF-β and pregnancy hormones
such as estrogen and prolactin signal arrested L3 larvae to resume development. To
facilitate analyses of mechanisms of reactivation and transmission in vivo, we have
utilized a mouse model of A. caninum infection; mice serve as an excellent model
because infective L3 do not develop into adults but migrate to different somatic tissues
and arrest, later reactivating during the periparturient period to transmit through milk.
Skeletal muscle and mammary gland are the major tissues of interest during this process
of arrest, reactivation and transmission. We investigated TGF-β1, TGF-β2 and IGF-1
serum and transcript cytokine profiles during late pregnancy, early lactation and mid-
lactation in mice infected with A. caninum to correlate their levels with the
transmammary transmission of the larvae to the nursing pups. An in vitro co-culture
system was also developed in an attempt to mimic in vivo conditions for assessing the
effects of TGF-β and, estrogen and prolactin on larval reactivation. A. caninum L3 were
co-incubated with primary skeletal muscle and mammary epithelial cells in a Transwell®
setup and larval reactivation was measured utilizing the in vitro feeding assay.
Additionally, the immune responses during concurrent pregnancy and helminthic
infection were assessed given that both conditions are known to be biased towards a T
helper (Th)-2 type of response. Serum and transcript levels of IFN-γ (representative of
the Th1 arm of the immune response) and IL-4 (for Th2) were measured in skeletal
muscle, mammary gland and spleen during pregnancy and A. caninum infection in the
mouse. These findings which are based upon serum and transcript levels suggest that
host-derived TGF- β1 and IGF-1 may play roles in the reactivation and transmission of
arrested A. caninum larvae; levels of TGF- β2 did not however, show a correlation with
the timepoints of pregnancy and lactation associated with larval reactivation and transfer.
Also, a Th2-like response characterized by elevation in IL-4 transcript levels was
observed in skeletal muscle while a mixed Th1/Th2 profile was observed in mammary
gland when comparing the different permutations of infection with A. caninum versus
pregnancy/lactation in BALB/c mice.
ii
Dedication
To my parents: Dr. Amresh Kumar and Mrs. Mridula Trivedi Thanks to you, I never needed to search for other role models in life.
iii
BIOGRAPHY
Shweta Trivedi was born on 10th June, 1975 in Moradabad, Uttar Pradesh, India. She
finished her primary schooling until high school from Campus School, Pantnagar in
1993. It was her ambition to become a veterinary surgeon like her father. She joined the
College of Veterinary Medicine at Gobind Ballabh Pant University of Agriculture and
Technology, Pantnagar in 1993 and graduated with a degree in Bachelor of Veterinary
Science and Animal Husbandry in 1998. She successfully competed in a national exam
for Junior Research Fellowship awarded by the Indian Council of Agricultural Research
and joined Indian Veterinary Research Institute, Izatnagar in 1998. For her Master’s
work, she characterized and tested the short-term culture filtrate proteins from
Mycobacterium bovis as potential diagnostic reagents for tuberculosis testing. After
completing her postgraduate degree in Master’s of Veterinary Immunology in 2000, she
got admission in the Immunology Program at College of Veterinary Medicine, North
Carolina State University and in the Microbiology department at University of
Tennessee, Knoxville. She joined the Immunology program at CVM, NCSU in 2001
where she worked on her PhD under the direction of Dr Prema Arasu. The major focus of
her graduate work was on host-parasite interactions involved in arrest and reactivation in
canine hookworm, Ancylostoma caninum. She will join the National Institute of Allergy
and Infectious Diseases at Rockville, Maryland as a visiting fellow in the lab of Dr.
Andrea Keane-Myers studying the role of T regulatory cell in the development of allergic
diseases.
iv
ACKNOWLEDGEMENTS
I express sincere gratitude to my major advisor, Dr Prema Arasu, for giving me
the opportunity to pursue my cherished desire of getting a higher education in the United
States. Her support, thoughtful comments and guidance along the way helped in timely
completion of this project. I am very thankful to my advisory committee members, Dr
Scott Laster, Dr Bill Miller and Dr Paul Mozdziak for their encouragement and valuable
suggestions through the course of my dissertation research. I would like to specially
thank Dr Miller for being an excellent mentor during my training in `Preparing the
Professoriate’ program. I gratefully acknowledge my graduate program coordinator, Dr
Wayne Tompkins for constantly pushing me to think critically in Immunology Journal
Club.
I thank the past and present members of Arasu lab, Cortney Cowan, Tori Freitas,
and Rita Simoes for being wonderful colleagues as well as friends to me. I am extremely
indebted to Dr. Susan Lankford for introducing me to the real-time PCR technology. I
heartily thank Dr. Barb Sherry for an unending supply of mice for cell culture studies. I
would also like to thank Derek Coombs for helping me with statistical analysis. I greatly
appreciate Paula Delong, Mary Jane, Toni Grenther and LAR staff who took excellent
care of beagle dogs and my experimental mice. I always enjoyed scientific deliberations
with my friend Dr. Kristina Howard, who has been very supportive of me all these years.
Additionally, I would like to thank all my friends who have been there for me through
thick and thin. Big thanks to Gregg Cowan for printing my dissertation. Finally, I feel
blessed to have such a caring and loving life-partner in Siddhartha who has always
encouraged me to keep moving forward and helped me realize my dreams.
v
TABLE OF CONTENTS
List of Tables……………………………………………………………………….. vii
List of Figures………………………………………………………………………. viii
1. Introduction ……………………………………………………………………… 1
2. Literature Review…………………………………………………………………… 5
2.1 Life cycle of Ancylostoma caninum………………………………………… 5 2.2 Developmental Arrest and Reactivation in Hookworms……………………. 7 2.3 Host Response to Arrest and Reactivation of Parasites…………………….. 17 2.4 Helminthic infection and Host Immune Responses………………………… 19 2.5 Immune responses during pregnancy………………………………………..24 3. Transcript and serum levels of TGF-β and IGF-1 during pregnancy and Ancylostoma caninum infection in BALB/c mice
3.4 Discussion………………………………………………………………….. 48 4. Development of an in vitro co-culture system to study the effects of TGF-β and pregnancy hormones on reactivation of hookworm larvae
I = day 19 gestation/14d pi UN = Uninfected / not bred II = day 1 lactation/15-16d pi IN = Infected / not bred
III = day 10 Lactation/25-26d pi UB = Uninfected / bred IB = Infected / bred
0 5 19-21 1 10 Days
I II III
Breed Mice
Late Gestation
Infect Mice
Early Lactation
Mid Lactation
Timepoints
Figure 3.1 Experimental design. Nine to ten week old BALB/c female mice were mated and injected with 1000 A. caninum L3 larvae on day 5 post-impregnation. Mice were sacrificed at three different timepoints during pregnancy and lactation and divided into four groups based on infection and breeding. Serum, skeletal muscle, mammary gland and spleen were collected from each timepoint in each group for ELISA and real-time PCR analyses.
Pregnancy Lactation
57
Larval counts
050
100150200250300350400450
IN IB IN IB IN IB
I II III
Num
ber
of la
rvae
Figure 3.2 Comparison of total larval burden in unbred versus bred BALB/c mice infected at times corresponding to day 19 gestation, day 1 and day 10 of postpartum lactation. Mice were infected with 1000 A. caninum L3 larvae subcutaneously. n = 5 mice per group. * indicates significant difference at p< 0.005 between unbred and bred groups.
*
58
Figure 3.3 Comparison of serum TGF-β1 levels in UN, IN, UB and IB mouse. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). a. TGF-β1 levels at Timepoint I * indicates significant difference at p< 0.0001 between uninfected unbred and infected bred groups. b. TGF-β1 levels at Timepoint II * indicates significant difference at p< 0.0001 between uninfected unbred and uninfected bred groups. ** indicates significant difference at p< 0.05 between uninfected unbred and infected bred groups. c. TGF-β1 levels at Timepoint III * indicates significant difference at p< 0.0001 between uninfected unbred and infected unbred, uninfected bred and infected bred groups. d. Comparison of TGF-β1 levels in UN, IN, UB and IB groups over time
0
200
400
600
800
1000
1200
I II III
TGF-
bet
a1 p
g/m
l
UN
IN
UB
IB
Figure 3.3a Figure 3.3b
Figure 3.3c Figure 3.3d
0
200
400
600
800
1000
1200
I II III
TGF-
bet
a1 p
g/m
l
UN
IN
UB
IB
Figure 3.3a Figure 3.3b
Figure 3.3c Figure 3.3d
*
***
*
* *
59
Figure 3.4 Comparison of serum TGF-β2 levels in UN, IN, UB and IB mouse. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). a. TGF-β2 levels at Timepoint I b. TGF-β2 levels at Timepoint II * indicates significant difference at p< 0.0001 between uninfected unbred and uninfected bred and between uninfected unbred and infected bred groups. c. TGF-β2 levels at Timepoint III * indicates significant difference at p< 0.0001 between uninfected unbred and infected unbred, uninfected bred and infected bred groups. d. Comparison of TGF-β2 levels in UN, IN, UB and IB groups over time
0
200
400
600
800
1000
1200
I II III
TG
F-b
eta2
pg
/ml
UN
IN
UB
IB
Figure 3.4a Figure 3.4b
Figure 3.4c Figure 3.4d
0
200
400
600
800
1000
1200
I II III
TG
F-b
eta2
pg
/ml
UN
IN
UB
IB
Figure 3.4a Figure 3.4b
Figure 3.4c Figure 3.4d
* *
* * *
60
Figure 3.5 Comparison of serum IGF-1 levels in UN, IN, UB and IB mouse. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). a. IGF-1 levels at Timepoint I * indicates significant difference at p< 0.0001 between uninfected unbred and infected unbred and uninfected bred groups. b. IGF-1 levels at Timepoint II c. IGF-1 levels at Timepoint III * indicates significant difference at p< 0.0001 between uninfected unbred and infected unbred, uninfected bred and infected bred groups. d. Comparison of IGF-1 levels in UN, IN, UB and IB groups over time
0
200
400
600
800
1000
1200
I II III
IGF
-1 p
g/m
l UN
IN
UB
IB
Figure 3.5a Figure 3.5b
Figure 3.5c Figure 3.5d
*
*
**
*
61
-35
-30
-25
-20
-15
-10
-5
0
5
I II III
Fol
d c
hang
e- T
GF-
ββ ββ1
mR
NA
-35
-30
-25
-20
-15
-10
-5
0
5
I II III
Fol
d ch
ange
- TG
F-ββ ββ1
mR
NA
-35
-30
-25
-20
-15
-10
-5
0
5
I II III
Fold
cha
nge-
TG
F- ββ ββ
1 m
RN
A
Figure 3.6a, b, c TGF-β1 transcript levels in skeletal muscle of IN (a), UB (b) and IB (c) mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from skeletal muscle collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts in IN, UB and IB groups, comparisons were made relative to UN controls.
Figure 3.6a No significant differences were found between UN and IN at given timepoints.
Figure 3.6b * indicates significant difference at p< 0.05 between UN and UB at timepoint III.
Figure 3.6c No significant differences were found between UN and IB at given timepoints.
*
62
-5000
-2500
-50-40-30-20-10
010
I II III
Fold
cha
nge
- T
GF-
ββ ββ1
mR
NA
-20
-10
0
10
20
I II III
Fold
cha
ng
e- T
GF
- ββ ββ1
mR
NA
-20
-10
0
10
20
I II III
Fol
d c
han
ge-
TG
F- ββ ββ
1 m
RN
A
Figure 3.6d, e, f TGF-β1 transcript levels in mammary gland of IN (d), UB (e) and IB (f) mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from mammary gland collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts in IN, UB and IB groups, comparisons were made relative to UN controls.
Figure 3.6e * indicates significant difference at p< 0.01 between UN and UB at timepoint II.
Figure 3.6d * indicates significant difference at p< 0.01 between UN and IN at timepoint I, II and III.
Figure 3.6f * indicates significant difference at p< 0.01 between UN and IB at timepoint II.
*
*
*
*
*
63
-5500-4500-3500
-50
-25
0
25
50
I II III
Fold
cha
nge
- TG
F-ββ ββ
1 m
RN
A
-200-175-150-125-100-75-50-25
0255075
100
I II III
Fold
ch
ange
- TG
F-ββ ββ1
mR
NA
-200-175-150-125-100-75-50-25
0255075
100
I II III
Fo
ld c
han
ge-
TG
F- ββ ββ
1 m
RN
A
Figure 3.6g, h, i TGF-β1 transcript levels in spleen of IN (g), UB (h) and IB (i) mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from spleen collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts in IN, UB and IB groups, comparisons were made relative to UN controls.
Figure 3.6g * indicates significant difference at p< 0.05 between UN and IN at timepoint II.
Figure 3.6h No significant differences were found between UN and UB at given timepoints
Figure 3.6i No significant differences were found between UN and IB at given timepoints
*
64
-10
-5
0
5
10
I II III
Fold
cha
nge-
TG
F-ββ ββ
2 m
RN
A
-10
-5
0
5
10
I II III
Fold
cha
nge
- T
GF-
ββ ββ2
mR
NA
-10
-5
0
5
10
I II III
Fold
cha
nge-
TG
F-ββ ββ
2 m
RN
A
Figure 3.7a, b, c TGF-β2 transcript levels in skeletal muscle of IN (a), UB (b) and IB (c) mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from skeletal muscle collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts in IN, UB and IB groups, comparisons were made relative to UN controls.
Figure 3.7a No significant differences were found between UN and IN at given timepoints
Figure 3.7b * indicates significant difference at p< 0.005 between UN and UB at timepoint III.
Figure 3.7c No significant differences were found between UN and IB at given timepoints.
*
65
-2000
-1000
-10
0
10
I II III
Fold
cha
nge-
TG
F-ββ ββ
2 m
RN
A
-10
-5
0
5
10
I II III
Fold
cha
nge
- T
GF-
ββ ββ2
mR
NA
-10
-5
0
5
10
I II III
Fol
d ch
ange
- T
GF-
ββ ββ2
mR
NA
Figure 3.7d, e, f TGF-β2 transcript levels in mammary gland of IN (d), UB (e) and IB (f) mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from mammary gland collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts in IN, UB and IB groups, comparisons were made relative to UN controls.
Figure 3.7d * indicates significant difference at p< 0.01 between UN and IN at timepoints I, II and III.
Figure 3.7e * indicates significant difference at p< 0.001 between UN and UB at timepoint II.
Figure 3.7f No significant differences were found between UN and IB at given timepoints
*
*
*
*
66
-50
-25
0
25
50
75
I II III
Fo
ld c
han
ge-
TG
F- ββ ββ
2 m
RN
A
-50
-25
0
25
50
75
I II III
Fol
d ch
ange
- T
GF-
ββ ββ2
mR
NA
0
100
200
300
400
I II III
Fol
d c
han
ge-
TG
F-ββ ββ2
mR
NA
Figure 3.7g, h, i TGF-β2 transcript levels in spleen of IN (g), UB (h) and IB (i) mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from spleen collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts in IN, UB and IB groups, comparisons were made relative to UN controls.
Figure 3.7g * indicates significant difference at p< 0.005 between UN and IN at timepoint I.
Figure 3.7h * indicates significant difference at p< 0.05 between UN and UB at timepoint I.
Figure 3.7i No significant differences were found between UN and IB at given timepoints.
*
*
67
-20
-10
0
10
I II III
Fold
cha
nge-
IGF-
1 m
RN
A
-20
-10
0
10
I II III
Fo
ld c
han
ge-
IG
F-1
mR
NA
-20
-10
0
10
I II III
Fo
ld c
han
ge-
IG
F-1
mR
NA
Figure 3.8a, b, c IGF-1 transcript levels in skeletal muscle of IN (a), UB (b) and IB (c) mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from skeletal muscle collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts in IN, UB and IB groups, comparisons were made relative to UN controls.
Figure 3.8a No significant differences were found between UN and IN at given timepoints.
Figure 3.8b No significant differences were found between UN and UB at given timepoints.
Figure 3.8c No significant differences were found between UN and IB at given timepoints.
68
-125
-100
-75
-50
-25
0
25
I II III
Fold
cha
nge-
IGF-
1 m
RN
A
-125
-100
-75
-50
-25
0
25
I II III
Fo
ld c
han
ge-
IGF
-1 m
RN
A
-125
-100
-75
-50
-25
0
25
I II III
Fol
d ch
ange
- IG
F-1
mR
NA
Figure 3.8d, e, f IGF-1 transcript levels in mammary gland of IN (d), UB (e) and IB (f) mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from mammary gland collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts in IN, UB and IB groups, comparisons were made relative to UN controls.
Figure 3.8d * indicates significant difference at p< 0.01 between UN and IN at timepoints I and II.
Figure 3.8e No significant differences were found between UN and UB at given timepoints.
Figure 3.8f * indicates significant difference at p< 0.01 between UN and IB at timepoint II.
*
*
*
69
-700-600-500-400-300-200-100
0100200
I II III
Fold
ch
ange
- IG
F-1
mR
NA
-700-600-500-400-300-200-100
0100200
I II III
Fold
ch
ang
e- IG
F-1
mR
NA
-700-600-500-400-300-200-100
0100200
I II III
Fold
ch
ange
- IG
F-1
mR
NA
Figure 3.8g, h, i IGF-1 transcript levels in spleen of IN (g), UB (h) and IB (i) mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from spleen collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts in IN, UB and IB groups, comparisons were made relative to UN controls.
Figure 3.8g No significant differences were found between UN and IN at given timepoints.
Figure 3.8h No significant differences were found between UN and UB at given timepoints.
Figure 3.8i No significant differences were found between UN and IB at given timepoints.
70
-40-35-30-25-20-15-10-505
II III
Fold
cha
nge-
TG
Fββ ββ1
mR
NA
-40-35-30-25-20-15-10-505
II III
Fold
cha
nge-
TG
F-ββ ββ
1 m
RN
A
-40-35-30-25-20-15-10-505
II III
Fold
cha
nge-
TG
F-ββ ββ
1 m
RN
A
Figure 3.9a, b, c Comparison of TGF-β1 transcript levels in skeletal muscle of IN (a), UB (b) and IB (c) mice over time. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from skeletal muscle collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts between timepoints, timepoint II and timepoint III were compared to timepoint I using equation III.
Figure 3.9a * indicates significant difference at p< 0.001 between timepoint I and timepoint III.
Figure 3.9b * indicates significant difference at p< 0.01 between timepoint I and timepoint III.
Figure 3.9c * indicates significant difference at p< 0.05 between timepoint I and timepoint III.
*
*
*
71
0
10
20
30
40
II III
Fold
cha
nge-
TG
F-ββ ββ
1 m
RN
A
0
10
20
30
40
II III
Fold
cha
nge-
TG
F-ββ ββ
1 m
RN
A
-10
0
10
20
30
40
II III
Fold
cha
nge-
TG
F-ββ ββ
1 m
RN
A
Figure 3.9d, e, f Comparison of TGF-β1 transcript levels in mammary gland of IN (d), UB (e) and IB (f) mice over time. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from mammary gland collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts between timepoints, timepoint II and timepoint III were compared to timepoint I using equation III.
Figure 3.9d * indicates significant difference at p< 0.05 between timepoint I and timepoint III.
Figure 3.9e * indicates significant difference at p< 0.001 between timepoint I and timepoint II.
Figure 3.9f * indicates significant difference at p< 0.01 between timepoint I and timepoint II.
*
*
*
72
-5500-4500-3500
-50
-25
0
25
50
II III
Fol
d c
ha
nge
- TG
F-ββ ββ
1 m
RN
A
-10
0
10
20
II III
Fold
cha
nge-
TG
F-ββ ββ
1 m
RN
A
-10
0
10
20
II III
Fold
cha
nge-
TG
F-ββ ββ
1 m
RN
A
Figure 3.9g, h, i Comparison of TGF-β1 transcript levels in spleen of IN (g), UB (h) and IB (i) mice over time. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from spleen collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts between timepoints, timepoint II and timepoint III were compared to timepoint I using equation III.
Figure 3.9g * indicates significant difference at p< 0.05 between timepoint I and timepoint II.
Figure 3.9h No significant differences were found between timepoints.
Figure 3.9i No significant differences were found between timepoints
*
73
-70
-60
-50
-40
-30
-20
-10
0
II III
Fold
cha
nge-
TG
F-ββ ββ
2 m
RN
A
-70
-60
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Fold
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-60
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II III
Fold
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Fββ ββ
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Figure 3.10a, b, c Comparison of TGF-β2 transcript levels in skeletal muscle of IN (a), UB (b) and IB (c) mice over time. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from skeletal muscle collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts between timepoints, timepoint II and timepoint III were compared to timepoint I using equation III.
Figure 3.10c * indicates significant difference at p< 0.001 between timepoint I and timepoint III.
Figure 3.10b * indicates significant difference at p< 0.001 between timepoint I and timepoint III.
Figure 3.10a * indicates significant difference at p< 0.001 between timepoint I and timepoint III.
*
*
*
74
-75
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II III
Fold
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Fol
d ch
ang
e- T
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-ββ ββ2
mR
NA
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II III
Fol
d ch
ange
- TG
F-ββ ββ
2 m
RN
A
Figure 3.10d, e, f Comparison of TGF-β2 transcript levels in mammary gland of IN (d), UB (e) and IB (f) mice over time. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from mammary gland collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts between timepoints, timepoint II and timepoint III were compared to timepoint I using equation III.
Figure 3.10e * indicates significant difference at p< 0.05 between timepoint I and timepoint II.
Figure 3.10d * indicates significant difference at p< 0.001 between timepoint I and timepoint III.
Figure 3.10f No significant differences were found between timepoints
*
*
75
-10
0
10
20
30
40
50
60
70
II III
Fold
cha
nge-
TG
F-ββ ββ
2 m
RN
A
-10
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10
20
30
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60
70
II III
Fold
cha
nge-
TG
F-ββ ββ
2 m
RN
A
-10
0
10
20
30
40
50
60
70
II III
Fold
cha
nge-
TG
F-ββ ββ
2 m
RN
A
Figure 3.10g, h, i Comparison of TGF-β2 transcript levels in spleen of IN (g), UB (h) and IB (i) mice over time. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from spleen collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts between timepoints, timepoint II and timepoint III were compared to timepoint I using equation III.
Figure 3.10g No significant differences were found between timepoints
Figure 3.10h No significant differences were found between timepoints
Figure 3.10i No significant differences were found between timepoints
76
-25
-20
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-10
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15
II III
Fold
cha
nge-
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1 m
RN
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Fold
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1 m
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A
-15
-10
-5
0
5
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15
20
25
II III
Fold
cha
nge-
IGF-
1 m
RN
A
Figure 3.11a, b, c Comparison of IGF-1 transcript levels in skeletal muscle of IN (a), UB (b) and IB (c) mice over time. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from skeletal muscle collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts between timepoints, timepoint II and timepoint III were compared to timepoint I using equation III.
Figure 3.11c * indicates significant difference at p< 0.05 between timepoint I and timepoint II.
Figure 3.11b No significant differences were found between timepoints.
Figure 3.11a * indicates significant difference at p< 0.05 between timepoint I and timepoint III. *
*
77
-125
-100
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25
II III
Fold
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25
50
75
100
125
150
II III
Fold
cha
nge-
IGF-
1 m
RN
A
Figure 3.11d, e, f Comparison of IGF-1 transcript levels in mammary gland of IN (d), UB (e) and IB (f) mice over time. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from mammary gland collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts between timepoints, timepoint II and timepoint III were compared to timepoint I using equation III.
Figure 3.11e No significant differences were found between timepoints.
Figure 3.11d * indicates significant difference at p< 0.01 between timepoint I and timepoint II ** indicates significant difference at p< 0.001 between timepoint I and timepoint III.
Figure 3.11f * indicates significant difference at p< 0.01 between timepoint I and timepoint II, and timepoint I and timepoint III.
*
**
*
*
78
-45-40-35-30-25-20-15-10-505
II III
Fold
cha
nge-
IGF-
1 m
RN
A
-45-40-35-30-25-20-15-10-505
II III
Fold
cha
nge-
IGF-
1 m
RN
A
05
1015202530354045
II III
Fold
cha
nge-
IG
F-1
mR
NA
Figure 3.11g, h, i Comparison of IGF-1 transcript levels in spleen of IN (g), UB (h) and IB (i) mice over time. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from spleen collected from each timepoint and cDNA was synthesized for real-time PCR analyses. For evaluating fold upregulation or downregulation of transcripts between timepoints, timepoint II and timepoint III were compared to timepoint I using equation III.
Figure 3.11h No significant differences were found between timepoints.
Figure 3.11g No significant differences were found between timepoints.
Figure 3.11i No significant differences were found between timepoints.
79
4. Development of an in vitro co-culture system to study the effects of TGF-β and
pregnancy hormones on reactivation of hookworm larvae
4.1 Introduction
After infecting a host parasitic nematodes may display developmental arrest where
larvae have the option to resume further development upon receiving appropriate stimuli
from the host. In hookworms, reactivation of the arrested larval population has a tremendous
biological and economic significance as it results in active intestinal infection as well as
transmammary transmission of the parasite (Schad, 1990). Molecular signals mediating such
resumption of development have been well-studied in developmentally arrested dauer stage
of the free-living soil nematode Caenorhabditis elegans (Riddle and Alberts, 1998). Genetic
and molecular analyses in C. elegans have shown that transforming growth factor (TGF)-β
and insulin-like growth factor (IGF)-1 signaling pathways mediate neuroendocrine responses
leading into dauer formation as well as exit from the dauer stage (Georgi, et al., 1990;
Estevez, et al., 1993; Ren, et al., 1996; Kimura, et al., 1997). Parallels have been drawn from
these signaling pathways in studying the mechanisms of larval arrest and reactivation in
hookworms (Hawdon and Schad, 1993). It has also been speculated that hormonal changes
occurring during pregnancy potentially provide a stimulus for larval reactivation. Exogenous
administration of estrogen and prolactin in A. caninum infected dogs resulted in resurgence
of larvae in milk (Stoye and Krause, 1976). Since estrogen and prolactin have been shown to
upregulate TGF-β2 isoform in uterus and mammary gland (Schneider et al., 1996), it is likely
that a combination of hormones and cytokines in a timely manner causes the reactivation of
the latent larval reservoir for re-infection and transmission.
80
Cell culture systems have been previously used in studies on helminth biology
mainly, to culture the infective-stage L3 larvae to promote molting into the fourth stage in
Brugia (Smith, et al., 2000), develop a cell line derived from viable L3 to evaluate antigen-
specific humoral immune response in Haemonchus (Coyne and Brake, 2001), and nematode
establishment, molting and reproduction in intestinal epithelial cells by Trichinella
(ManWarren, et al., 1997; Gagliardo, et al., 2002). One of the primary goals of in vitro
culture systems is to mimic the in vivo environment, thus providing the parasite with host-
like conditions.
In vivo, the reactivation of arrested larvae leads to resumption of development with
growth and morphological changes which require energy and therefore, intake of food. In C.
elegans, dauer larvae start to feed within 2-3 hours of exposure to bacterial food and exit
from the arrested stage (Ren, et al., 1996). In hookworms, a simple in vitro assay was
developed in which larval reactivation results in activation of the feeding response and the
ingestion of flourescein-labeled albumin leading to fluorescent intestinal tracts in the larvae
that can be easily scored under a fluorescent microscope (Hawdon, et al., 1993; Kumar and
Pritchard, 1994). Besides hookworms, the in vitro feeding assay has been used as a direct
method for measuring the reactivation of larvae in other parasitic nematodes also as it is
speculated that resumption of feeding is associated with resumption of development
(Hawdon, et al., 1992, 1993; Gamble and Mansfield, 1996). It was used in the present study
to evaluate the candidate cytokines and hormones that may be responsible for triggering
reactivation of A. caninum larvae. It appears that the amphids which contain axon endings of
chemosensory neurons at the anterior end of the larvae are exposed to the environment and
are therefore, critical for signaling during entry into and exit from the arrested stage
81
(Bargmann and Horvitz, 1991; Ashton, et al., 1998, 1999). Using immunofluorescence
studies, it was recently shown that anti-TGH-2 (A. caninum TGF-β isoform) antibodies
identified native protein in the anterior region of the larvae resembling areas corresponding
to the chemosensory region of the amphidial pores in C. elegans (Freitas and Arasu, 2005).
With the objective to compliment our in vivo studies on the influence of pregnancy
hormones and cytokines associated with reactivation of tissue-arrested hookworm larvae, an
in vitro cell culture system was developed. We focused on establishing primary skeletal and
mammary epithelial cell cultures as upon reactivation larvae migrate from skeletal muscle,
which is the favored site of arrest, to mammary gland leading to transmammary transmission
to the newborn. We successfully established both types of primary cell cultures in our
laboratory and co-cultured these cells with infective A. caninum L3 larvae. Previous in vitro
feeding/reactivation assays had shown that A. caninum infective L3 were not susceptible to
the effects of TGF-β while ‘tissue arrested’ L3s recovered from the carcasses of infected
mice were stimulated to resume feeding (albeit with no evidence of morphological change or
development to the 4th larval stage; Arasu, 2001). This experimental setup was designed to
pre-condition or transform infective L3 larvae by the mammalian cell co-culture to mimic
‘tissue-arrested’ larvae and to then test the hypothesis that mammalian host-derived TGF-β
and pregnancy hormones result in reactivation and resumption of development.
4.2 Materials and Methods 4.2.1 Primary skeletal muscle cell culture
For starting a primary culture of skeletal muscle, 4-5 of <1 day-old neonatal Cr:NIH (S)
mouse pups (National Cancer Institute, Frederick, MD) were killed. After skinning,
82
hindlimbs and forelimbs were collected in Hank`s Balanced Salt Solution (HBSS)
(Mediatech, Herndon, VA) and minced finely with scissors. The minced muscle mass was
subjected to digestion using an enzymatic solution of 0.17% Trypsin (T-8128, Sigma-
Aldrich, St. Louis, Missouri) and 0.085% Collagenase (C-6885, Sigma-Aldrich, St. Louis,
Missouri) in a beaker incubated at 37ºC for 25 minutes to obtain a free cell suspension . After
incubation the contents in the beaker were transferred into a 15 ml sterile disposable tube and
centrifuged at 2500 rpm for 5 minutes. Supernatant was removed by a Pasteur pipette and the
digested muscle mass along with cells were resuspended in 5 ml of complete Dulbecco`s
Figure 4.2b Effect of serum on percent feeding response of L3 larvae co-cultured with primary skeletal muscle cells. L3 larvae were co-incubated in DMEM supplemented with 5% Serum Replacement media II as negative control and larvae were stimulated with 5% normal dog serum as positive control. The asterisk indicates significant difference at p< 0.05.
*
97
Media ctrl 5% Serum0
10
20
30
40
50
60
% F
eedi
ng L
3 La
rvae
Figure 4.2c Effect of serum on percent feeding response of L3 larvae co-cultured with primary mammary epithelial cells. L3 larvae were co-incubated in DMEM supplemented with 5% Serum Replacement media II as negative control and larvae were stimulated with 5% normal dog serum as positive control. The asterisk indicates significant difference at p< 0.05.
*
98
Media ctrl 5% Serum TGF-ββββ20
25
50
75
% F
eedi
ng L
3 La
rvae
Figure 4.3a Effect of TGF-β2 on feeding response of L3 larvae. L3 larvae were co-cultured with primary skeletal muscle cells in DMEM supplemented with 5% Serum Replacement media II as negative control, larvae were stimulated with 5% normal dog serum as positive control and TGF-β2 (10 ng/ml) for 24 h in triplicate. The asterisk indicates significant difference at p< 0.05.
*
99
Media ctrl 5% Serum TGF-ββββ20
10
20
30
40
50
60
70
80
% F
eedi
ng L
3 La
rvae
Figure 4.3b Effect of TGF-β2 on feeding response of L3 larvae. L3 larvae were co-cultured with primary skeletal muscle cells in DMEM supplemented with 5% Serum Replacement media II as negative control, larvae were stimulated with 5% normal dog serum as positive control and TGF-β2 (10 ng/ml) for 48 h in triplicate. The asterisk indicates significant difference at p< 0.05.
*
100
Media ctrl 5% Serum TGF-ββββ20
102030405060708090
% F
eedi
ng L
3 La
rvae
Figure 4.3c Effect of TGF-β2 on feeding response of L3 larvae. L3 larvae were co-cultured with primary skeletal muscle cells in DMEM supplemented with 5% Serum Replacement media II as negative control, larvae were stimulated with 5% normal dog serum as positive control and TGF-β2 (10 ng/ml) for 72 h in triplicate. The asterisk indicates significant difference at p< 0.05.
*
101
Media ctrl 5% Serum TGF-ββββ20
10
20
30
40
50
60
70
% F
eedi
ng L
3 La
rvae
Figure 4.4a Effect of TGF-β2 on feeding response of L3 larvae. L3 larvae were co-cultured with primary mammary epithelial cells in DMEM supplemented with 5% Serum Replacement media II as negative control, larvae were stimulated with 5% normal dog serum as positive control and TGF-β2 (10 ng/ml) for 24 h in triplicate. The asterisk indicates significant difference at p< 0.05.
*
102
Media ctrl 5% Serum TGF-ββββ20
102030405060708090
% F
eedi
ng L
3 La
rvae
Figure 4.4b Effect of TGF-β2 on feeding response of L3 larvae. L3 larvae were co-cultured with primary mammary epithelial cells in DMEM supplemented with 5% Serum Replacement media II as negative control, larvae were stimulated with 5% normal dog serum as positive control and TGF-β2 (10 ng/ml) for 48 h in triplicate. The asterisk indicates significant difference at p< 0.05.
*
103
Media ctrl 5% Serum TGF-ββββ20
10
20
30
40
50
60
70
80
% F
eedi
ng L
3 La
rvae
Figure 4.4c Effect of TGF-β2 on feeding response of L3 larvae. L3 larvae were co-cultured with primary mammary epithelial cells in DMEM supplemented with 5% Serum Replacement media II as negative control, larvae were stimulated with 5% normal dog serum as positive control and TGF-β2 (10 ng/ml) for 72 h in triplicate. The asterisk indicates significant difference at p< 0.05.
*
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Media
ctrl
5% S
erum
Estro
gen
Prolac
tin
Estro
gen/P
rolac
tin0
10
20
30
40
50
60
70
% F
eedi
ng L
3 la
rvae
Figure 4.5a Effect of pregnancy-associated hormones on feeding response of L3 larvae. L3 larvae were co-cultured with primary skeletal muscle cells in DMEM supplemented with 5% Serum Replacement media II as negative control, larvae were stimulated with 5% normal dog serum as positive control and estrogen (100 ng/ml), prolactin (100 ng/ml) and estrogen/prolactin for 24 h in triplicate. The asterisk indicates significant difference at p< 0.05.
*
105
Media
ctrl
5% S
erum
Estro
gen
Prolac
tin
Estro
gen/P
rolac
tin0
10
20
30
40
50
60
70
% F
eedi
ng L
3 La
rvae
Figure 4.5b Effect of pregnancy-associated hormones on feeding response of L3 larvae. L3 larvae were co-cultured with primary skeletal muscle cells in DMEM supplemented with 5% Serum Replacement media II as negative control, larvae were stimulated with 5% normal dog serum as positive control and estrogen (100 ng/ml), prolactin (100 ng/ml) and estrogen/prolactin for 48 h in triplicate. The asterisk indicates significant difference at p< 0.05.
*
106
Media
ctrl
5% S
erum
Estro
gen
Prolac
tin
Estro
gen/P
rolac
tin0
10
20
30
40
50
60
70
80
% F
eedi
ng L
3 La
rvae
Figure 4.5c Effect of pregnancy-associated hormones on feeding response of L3 larvae. L3 larvae were co-cultured with primary skeletal muscle cells in DMEM supplemented with 5% Serum Replacement media II as negative control, larvae were stimulated with 5% normal dog serum as positive control and estrogen (100 ng/ml), prolactin (100 ng/ml) and estrogen/prolactin for 72 h in triplicate. The asterisk indicates significant difference at p< 0.05.
*
107
Media
ctrl
5% S
erum
Estro
gen
Prolac
tin
Estro
gen/P
rolac
tin0
10
20
30
40
50
60
70
80
% F
eedi
ng L
3 La
rvae
Figure 4.6a Effect of pregnancy-associated hormones on feeding response of L3 larvae. L3 larvae were co-cultured with primary mammary epithelial cells in DMEM supplemented with 5% Serum Replacement media II as negative control, larvae were stimulated with 5% normal dog serum as positive control and estrogen (100 ng/ml), prolactin (100 ng/ml) and estrogen/prolactin for 24 h in triplicate. The asterisk indicates significant difference at p< 0.05.
*
108
Figure 4.6b Effect of pregnancy-associated hormones on feeding response of L3 larvae. L3 larvae were co-cultured with primary mammary epithelial cells in DMEM supplemented with 5% Serum Replacement media II as negative control, larvae were stimulated with 5% normal dog serum as positive control and estrogen (100 ng/ml), prolactin (100 ng/ml) and estrogen/prolactin for 48 h in triplicate. The asterisk indicates significant difference at p< 0.05.
Media
ctrl
5% S
erum
Estro
gen
Prolac
tin
Estro
gen/P
rolac
tin
0
10
20
30
40
50
60
70
80
% F
eedi
ng L
3 La
rvae
*
109
Media
ctrl
5% S
erum
Estro
gen
Prolac
tin
Estro
gen/P
rolac
tin0
10
20
30
40
50
60
70
80
% F
eedi
ng L
3 La
rvae
Figure 4.6c Effect of pregnancy-associated hormones on feeding response of L3 larvae. L3 larvae were co-cultured with primary mammary epithelial cells in DMEM supplemented with 5% Serum Replacement media II as negative control, larvae were stimulated with 5% normal dog serum as positive control and estrogen (100 ng/ml), prolactin (100 ng/ml) and estrogen/prolactin for 72 h in triplicate. The asterisk indicates significant difference at p< 0.05.
*
110
5. IL-4 and IFN-γ serum protein and transcript levels during pregnancy and
Ancylostoma caninum infection in BALB/c mice
5.1 Introduction
More than one billion people in the tropics and sub-tropics are known to be infected
with hookworms (Chan, 1997). Thus, hookworm infection remains a major contributor to
iron-deficiency anemia as adult parasites feed on blood from the intestines. Since hookworms
are known to exhibit latency and reactivation, they interact with their hosts at an intimate
level and have been reported to 'counter' the complex immune responses generated against
them (Behnke, 1991; Loukas and Prociv, 2001). Immune responses to hookworms have been
studied in both humans and experimental animal hosts in attempts to understand host
protection as well as parasite survival particularly with regard to the development of
hookworm vaccines. Eosinophilia, mastocytosis and IgE production are the most prominent
immune alterations observed during a hookworm infection (Loukas and Prociv, 2001). In
many ways, hookworms are typical gastrointestinal nematodes based on types of immune
responses generated in definitive hosts. Humoral and cellular responses fit loosely within the
framework of a T helper 2 (Th2) type of response (Loukas, et al., 2005). Humans infected
with Necator hookworms produce high levels of parasite-specific and total IgE (Pritchard
and Walsh, 1995; Pritchard, et al., 1995) which is accompanied by peripheral and local
eosinophilia (White, et al., 1986; Maxwell, et al., 1987). While humoral responses to
hookworms have been well documented; little was known about the role of adaptive T cell
response until recently (Quinnell et al., 2004; Pit, et al., 2000 and 2001).
111
There is a notable lack of suitable animal models for human hookworm infection, and
extrapolating from immunological models of an abnormal host can be unreliable. N.
americanus matures in hamsters; however, there is wide variability in the number of L3 that
develop into intestinal adult worms (Rose and Behnke, 1990; Jian, et al., 2003). Similarly, A.
duodenale has been shown to develop in dogs, but only with exogenous administration of
steroids (Leiby, et al., 1987). Syrian Golden hamsters (Mesocricetus auratus) have also been
used to model infections with Ancylostoma ceylanicum (Garside, et al., 1990). In a recent
study, impact of A. ceylanicum hookworm infection on host cellular responses, cytokine
production and lymphoproliferation were measured (Mendez, et al., 2005). Initial larval
infection with 100 third-stage A. ceylanicum larvae resulted predominantly in Th1 responses
(upregulation of proinflammatory cytokines such as IFN-γ and TNF-α) which occurred
during larval migration and continued up to 14 days post-infection or prepatency.
Subsequently, development of larvae into egg-laying adult hookworms or patency coincided
with a switch to Th2 predominant responses with a marked increase in IL-4 and IL-10
production. This switch also concurred with reduced host lymphoproliferative responses to
hookworm antigens (Mendez, et al, 2005).
A. caninum infection in dogs serves as a good model for understanding the host-
parasite interactions occurring during human hookworm infection. However, canines are not
a realistic option due to high animal costs as well as ethical concerns with euthanasia for
these types of studies. Our lab has utilized the mouse as a circumscribed model for
specifically assessing pregnancy-associated transmammary transmission of A. caninum
infection in the neonate (Arasu and Heller, 1999; Arasu and Kwak, 1999). The murine model
was used to compare the responses of infected versus uninfected animals that were either
112
bred or not bred to ascertain whether suppression of A. caninum-specific antibody responses
during pregnancy facilitated the reactivation and transmammary transfer of hookworm
larvae. Initial comparisons of genetically divergent BALB/c versus C57BL/6 mice showed
that both the strains mounted strong Th2 biased IgG1 and IgE antibody responses to A.
caninum infection (Arasu and Heller, 1999). It was also confirmed that larval transfer to the
mouse pups occurred during the post-partum lactational period as there was only one
previously published report using mice to assess the transmammary transmission of A.
caninum larvae (Steffe and Stoye, 1984). In dams, levels of total and antigen-specific IgG1
and total IgE (Th2 response) were highly correlated with parasite burden (Arasu and Heller,
1999). During most phases of pregnancy and lactation, infected dams had lower total IgG1,
IgG2a and IgE levels as compared to unbred mice at comparable times post-infection which
supported the established dogma of a generalized immunosuppression associated with
pregnancy (Arasu and Heller, 1999). However, correlative studies showed that the parasite-
specific antibody responses did not play a major role in the pregnancy-associated
transmammary transmission of A. caninum larvae (Arasu and Heller, 1999). These studies do
not rule out the possibility of underlying fluctuations in the levels of Th1 and Th2 cytokines
associated with pregnancy and infection that may be involved in the process of larval
reactivation and transmission.
We report here the immunological profile of IL-4 and IFN-γ mRNA transcripts
during pregnancy and A. caninum infection in skeletal muscle (the favored site of latent
infection), mammary gland (where the larvae get transmitted) and spleen (major site to
monitor immune responses during parasitic infections). Interestingly, in our model of
breeding and infection we found that during early lactation IL-4 transcript levels predominate
113
over IFN-γ in skeletal muscle but were concurrently downregulated in mammary gland in
infected bred mice. We also found that both IL-4 and IFN-γ transcripts were upregulated at
14 days post-infection in mammary gland of infected unbred mice which support the findings
that acute helminthic infections are often associated with mixed Th1/Th2 responses. We were
unable to correlate mRNA transcript levels with serum levels as IL-4 was undetectable in the
sera of majority of the mice.
5.2 Materials and Methods
5.2.1 Mice breeding and infection
Nine to ten-week-old female BALB/c mice were purchased from Charles River
Laboratories, and maintained at the Laboratory Animal Resources facility in accordance with
Institutional Animal Care and Use Committee guidelines. Mice were mated at a ratio of 2
females: 1male for a period of 7 days and examined twice daily for the presence of a vaginal
impregnation plug. Observation of a plug was designated as day 0 of the pregnancy. On day
5 post-impregnation (observation of vaginal plug), the female mice were injected sub-
cutaneously in the dorsal cervical interscapular region with 100 ul PBS (control) or with
1000 larvae in PBS. Mice were killed by decapitation at three different time points: time
point I corresponding to day 19 of gestation or day 14 post-infection (pi), and time points II
and III corresponding to day 1 and 10 of postpartum lactation or day 15-16 pi and day 25-26
pi, respectively. The tissue samples collected were sections of the gastrocnemius skeletal
muscle, mammary gland, and spleen as well as blood. Approximately 200mg of each tissue
sample (except blood) was stored in RNA-STAT 60 (Tel-Test, Texas) at -80ºC for RNA
extraction. Serum was collected after incubating whole blood at 37ºC for 1 h and
114
subsequently at 4ºC for 4 h and subsequently stored at -20ºC until further use. The female
mice were grouped as infected or not infected and bred or not bred (n = 5 per group). The
resulting four groups were uninfected/ unbred (UN or normal controls), infected/ unbred
(IN), uninfected/ bred (UB) and infected/ bred (IB).
5.2.2 Harvesting tissue L3
For harvesting tissue-arrested larvae, carcasses were skinned, minced, wrapped in
eight layers of cheesecloth and incubated in a modified Baermann assembly for 4 h at 37ºC
in PBS medicated with 20 mg/L gentamicin (Sigma Chemical Co., Missouri) and 20mg/L
lincomycin (Sigma Chemical Co., Missouri). Migrating larvae that collected at the bottom of
the cups were repeatedly washed at 2000 rpm for 10 minutes with medicated PBS. Larval
numbers in dams versus each litter of pups were counted with the aid of a dissecting
microscope.
5.2.3 Mouse IL-4 ELISA
IL-4 levels were determined using a Mouse IL-4 ELISA kit (Pierce Endogen,
Rockford, IL) which is based on the principle of an indirect ELISA. The assays were
performed using anti-mouse IL-4 pre-coated 96-well strip plates. The standards (0, 15, 75
and 375 pg/ml) were prepared according to the manufacturer’s protocol. Using a
multichannel pipettor 50 µl of plate reagent was added to each well before adding 50 µl of
reconstituted standards and test sera samples from different groups of mice. The plate was
covered with an adhesive tape and incubated for 3 hours at 37ºC in a humidified incubator.
After washing five times with wash buffer, 100 µl prediluted conjugate reagent was added to
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each well and the plate was incubated for 1 hour 37ºC in a humidified incubator. After
repeating the washing step five times, 100 µl of TMB substrate solution was added to each
well. Enzymatic color reaction was allowed to develop at room temperature in the dark for 30
minutes. The substrate reaction yielded a blue solution that turned yellow when Stop Solution
containing hydrochloric acid was added. Absorbance was measured on an ELISA plate
reader set at 450 nm and 550 nm. The standard curve was used to determine IL-4 in pg/ml in
the unknown samples.
5.2.4 RNA extraction and cDNA synthesis
Total RNA from all the tissues (skeletal muscle, mammary gland and spleen) was
extracted using RNA-STAT (Tel-Test, Inc., Friendswood, TX) according to Chomczynski
and Sacchi (1987). Residual genomic DNA was removed from RNA by treating with DNase
(20U per 100 µg of RNA). RNA quantity and quality was checked by spectrophotometric
measurements at 260 and 280 nm (Pharmacia) and by analyzing 1µg RNA for rRNA bands
and integrity on a 1% ethidium bromide agarose gel.
For reverse transcription, first strand cDNA was synthesized by adding 10µg of total
RNA to a 40µl reaction mix containing a final concentration of 2.5nM dNTPs, 0.1M
dithiothreitol, 1 µg Oligo d (T) primer (Promega, Madison, WI), 24U RNase inhibitor and
incubation with 200U Superscript II reverse transcriptase (Invitrogen, Carlsbad, CA) at 37°C
for 1 hour. To confirm absence of contaminating genomic DNA, RT negative reactions with
5µg total RNA were setup. RT-plus (cDNA)/minus reactions were subjected to RT-PCR
(reverse transcription-polymerase chain reaction) using GAPDH primers. PCR reactions
were run on a 2% agarose gels to check for product formation and DNA contamination. The
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thermal cycler program was one cycle of 94ºC for 5 min, 40 cycles of 94ºC for 1 min, 56ºC
for 1 min and 72ºC for 1 min, followed by one cycle of 72ºC for 1 min.
5.2.5 Primer design
Primer sets for genes of interest, IL-4 and IFN-γ and reference gene 60S acidic
ribosomal protein were designed from mouse-specific Genbank sequences listed in Table 1
using Primer 3 software (Rozen and Skaletzky, 2000) (http://www-genome.-wi.mit.edu/cgi-
bin/primer/primer3_www.cgi). In order to minimize primer-dimer formation, the maximum
self-complementarity was 6 and the maximum 3’ self-complementarity was 0. The targets
amplified by primer pairs were characterized using the Mfold program (SantaLucia, 1998)
(http://bioinfo.math.rpi.edu/~mfold/dna/form1.cgi) for predicting the nature of any secondary
structures which may form at the site of primer binding. Primer pairs that bound at the site of
a predicted loop were discarded. Primer sets were synthesized by Integrated DNA
Technologies (Coralville, IA) and primers were reconstituted at100 pM/ul in nuclease-free
water prior to use.
5.2.6 Real-time PCR
The real-time PCR reactions were carried out using the iCyclerTM iQ PCR detection
system (Bio-Rad Laboratories, Hercules, CA, USA). In each 25µl reaction, 12.5µl of iQTM
SYBR green supermix (Bio-Rad) was added to 300nM of each primer along with 250ng of
cDNA. PCR amplification was performed in duplicate for each sample using the following
cycle conditions: 3 min at 95°C followed by 45 repeats of 1 min at 95°C, 30s at 55°C and 30s
at 72°C. Temperature optimization was carried out for all the primer sets to be amplified
117
simultaneously. Annealing temperatures were tested from the 50-65ºC range; all the primer
sets amplified optimally at 55ºC. A melt curve analysis step was included at the end of cycles
to check for primer-dimer and non-specific product formation. Efficiency of the PCR
reactions was derived by doing a standard curve of 10-fold serially diluted mouse spleen
cDNA and was consistently in the 95-98% range. Non-template controls were used to detect
any genomic DNA contamination and amplified products were also examined on a 2%
agarose gel to verify that the amplified products were of the expected sizes. Raw Ct values
were analyzed using Relative Expression Software Tool-384 (REST-384) to generate a fold
increase or decrease in the transcript levels (Pfaffl, et al., 2002). The 60S acidic ribosomal
protein was used as the endogenous reference gene for normalizing transcript levels among
tissues of interest. 60S ribosomal protein was previously shown to be the least variable from
comparative analyses of various genes including β-actin, cyclophilin and glyceraldehyde-3-
phosphate dehydrogenase (GAPDH) all of which were tested as potential candidate reference
genes (using methodology as described in Chapter 6 of this dissertation).
5.2.7 Statistical analysis
Data reported for larval burden as mean ± standard deviation was analyzed by two-
way ANOVA using the General Linear Models (GLM) procedure in SAS (Cary, North
Carolina) and p<0.05 was considered significant. For comparing variation in transcript levels
used (Pfaffl, et al., 2002). The mathematical model used to compute the relative expression
ratio of a target gene relies on its real-time PCR efficiencies (E) and the threshold cycle
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difference (∆Ct) of an unknown sample versus a control (∆Ct control - sample). The target gene
expression is normalized to a reference gene (ref) in the equation mentioned below:
Ratio = (E target) ∆Ct target (control - sample) / (E ref)
∆Ct ref (control - sample)
In our experimental setup control was the uninfected/unbred (UN) mice and samples were
the infected/unbred, uninfected bred (UB) and infected/bred (IB). For evaluating fold
upregulation or downregulation of transcripts between timepoints, early-lactation (timepoint
II) and mid-lactation (timepoint III) were compared to late-gestation (timepoint I) expression
of which was relative to control (UN). For evaluating fold changes in transcript levels,
analyses were also done by comparing IN, UB and IB group each to the UN at respective
timepoints (See Appendix II).
5.3 Results
5.3.1 Breeding efficiency and larval burden assessment
Breeding efficiency, measured by dividing bred mice by total number of mice mated,
was used to evaluate the effect of A. caninum infection on the outcome of pregnancy. A total
of 82 female BALB/c mice were infected with 1000 A. caninum larvae post-impregnation, of
which 16 gave birth to live pups. Thus, breeding efficiency was 20% in the infected/bred (IB)
mice. Compared to the IB group, uninfected/bred (UB) mice had breeding efficiency of 45%
as 22 of 49 resulted in live litters. These results suggest that A. caninum infection has an
adverse effect on pregnancy, as shown by lower breeding efficiencies.
To compare larval distribution in dams, eight week old female BALB/c mice were
subcutaneously injected with 1000 A. caninum L3 larvae. A comparison of larval burden
during the course of A. caninum infection was made between infected/not bred (IN) and IB
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mice at the three different timepoints corresponding to late gestation and early to mid
lactation (Figure 5.1). The total number of larvae recovered from IN mice was not
significantly different from the IB mice at late gestation or mid lactation. However, there was
a significant difference (p< 0.005) in the larval burden of IN mice (368 ± 64) and IB mice
(249 ± 31) at timepoint II, immediately postpartum.
To correlate the level of transmammary transmission from dam to pups, larval counts
were also assessed in litters from IB dams: 5 ± 4 and 9 ± 2 larvae were respectively obtained
during the timepoints for early and mid lactation, for timepoints II and III, respectively. The
larval burden in the feti (timepoint I) was not assessed as previous studies have shown that
there is no in utero transmission of A. caninum larvae from dam to fetus during pregnancy
(Steffe and Stoye, 1984; Arasu and Kwak, 1999).
5.3.2 Serum IL-4 levels
To compare the IL-4 levels during different phases of breeding, serum was collected
at late gestation (timepoint I), early lactation (timepoint II) and mid-lactation (timepoint III).
IL-4 levels were assessed in uninfected/not bred (UN) controls and compared to IL-4 levels
from IN, UB and IB mice at timepoints I, II and III. IL- 4 was not detectable in serum
samples from any group except for two individual mice in the IN group. Mouse # 4 and
mouse #5 had serum IL-4 levels of 210 pg/ml and 302 pg/ml respectively at timepoint III,
which is the last timepoint included in this study. Serum levels of IFN-γ could not evaluated
due to insufficient quantities of serum remaining as 50µl/well was required for the IFN-γ
ELISA (Pierce Endogen, Rockford, IL).
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5.3.3 Transcript levels of IL-4 and IFN-γ in skeletal muscle and mammary gland
IL-4 mRNA transcripts levels were evaluated during the course of A. caninum
infection at different stages of pregnancy and lactation in skeletal muscle, mammary gland
and spleen using real-time PCR. REST software was used to analyze the fold changes in
expression of transcripts (Pfaffl, et al., 2002). Skeletal muscle was assessed as it is the
favored site of arrest for L3 larvae.
In skeletal muscle, IL-4 transcript levels were significantly upregulated during early
lactation at timepoint II (p< 0.05) in the IB group compared to the timepoint I (Figure 5.2a).
No significant changes in IL-4 levels were observed skeletal muscle of IN and UB groups
(Figures 9.3a, 9.3b in Appendix II). In mammary gland, IL-4 transcript levels were
significantly upregulated at timepoint I (p< 0.005) corresponding to two weeks (timepoint II
for IN group) of A. caninum infection in the IN group when compared to UN (Figure 5.2b).
However, IL-4 transcript levels were significantly downregulated at timepoint II (p< 0.05) in
the mammary gland of IB group as compared to timepoint I (Figure 5.2c). No significant
changes were observed in IL-4 transcripts in the UB group (Figure 9.3c in Appendix II). In
the spleen, no significant changes in expression of IL-4 were identified in the IN, UB or IB
groups (Figures 9.3d, 9.3e, 9.3f in Appendix II). In summary, IL-4 was predominantly
expressed in skeletal muscle but downregulated in mammary gland of the IB group.
IFN-γ transcript levels were also evaluated during the course of A. caninum infection
and different stages of pregnancy and lactation in skeletal muscle, mammary gland and
spleen using real-time PCR. No significant changes in IFN-γ transcripts were observed in any
of the groups in skeletal muscle (Figures 9.4a, 9.4b, 9.4c in Appendix II). In mammary gland,
IFN-γ transcript levels were significantly upregulated at timepoint I (p< 0.05) in the IN group
121
compared to the UN controls (Figure 5.3). This is consistent with the recent reports that
during the early phase of hookworm infection Th1 responses predominate over Th2. No
significant changes in IFN-γ transcripts were observed in mammary gland of UB and IB
groups. Similarly, no significant differences were noted in IFN-γ transcript levels in skeletal
muscle or spleen of the IN, UB and IB groups at the three timepoints of interest (Figures
9.4d-h in Appendix II).
Discussion
Hookworm infection has been globally recognized as one of the most common
persistent infections of humans, with majority of cases occurring in the tropics and subtropics
(de Silva, et al., 2003). Clinical symptoms of hookworm infection include anemia,
eosinophilic gastroenteritis, weight loss and retardation of growth. Latency and reactivation
is a common phenomenon in the life cycle of the hookworm which leads to chronicity of
infection that is well documented in dogs (Stoye and Krause, 1976). Developmentally
arrested third stage larvae (L3) of Ancylostoma species of hookworms have the capacity to
reactivate and mobilize during pregnancy which leads to transmission of L3 to the
immunologically naïve offspring via milk (Stone and Smith, 1973; Schad, 1979). We have
developed a mouse model of A. caninum infection that includes arrest and reactivation to
study the immunological changes occurring inside somatic tissues where larvae arrest and
migrate after reactivation, i.e. skeletal muscle and mammary gland, respectively. Classically,
a helminth infection generates a Th2 dominant response in the host defined by the production
of interleukin-4 (IL-4), IL-5, IL-9, IL-10 and IL-13 and consequently the development of
122
strong IgE, eosinophil and mast cell responses. Similarly, pregnancy has also been suggested
to model the parameters of a Th2 response (Wegmann, et al., 1993).
In this report we show that infected mice have a breeding efficiency of 20% as
compared to 45% in normal uninfected mice. It was also observed that some female mice had
a post-implantation vaginal plug but did not become pregnant. In those cases scarring in the
uterus was observed (personal observation, S. Trivedi), which suggested that fetal resorption
might have occurred. Immune responses generated against parasitic infections have been
implicated to have deleterious effects on pregnancy ultimately leading into its termination.
Studies in the protozoal parasite, Leishmania major, suggest that although a Th1 response is
protective against the parasitic infection, it can adversely affect pregnancy outcome. Th1
cytokines may be deleterious not only for placental maintenance but also for preimplantation
events (Krishnan, et al., 1996b).
Since little is known about cytokine patterns associated with hookworm infection;
especially at the site of larval arrest (skeletal muscle) and the site to which larvae migrate
after resuming development (mammary gland), we chose to evaluate two characteristic
cytokines which promote Th1 (IFN-γ) and Th2 (IL-4) cell expansion, respectively. We
measured IL-4 levels in serum because it was not feasible to isolate peripheral blood
mononuclear cells (PBMCs) or T cells from a relatively large sampling group of small
animals We utilized serum samples collected for measuring TGF-β and IGF-1 levels (S.
Trivedi Dissertation, Chapter 3) to detect IL-4 levels from the different groups. However, we
were unable to detect IL-4 levels in the majority of the serum samples except for two A.
caninum infected mice. Cytokine production is measured directly by either isolating PBMCs
123
or specific immune cells such as T helper (CD4+) and T cytotoxic (CD8+), and comparing
cytokine production between basal and mitogen-stimulated levels.
Since larvae arrest more commonly in skeletal muscle one would expect an ensuing
inflammatory response against the parasite. Using histochemistry we have previously
demonstrated a zone of eosinophils surrounding the larvae in the skeletal muscle (Arasu and
Kwak, 1999). It is likely that once the larvae have reactivated during pregnancy, a similar
inflammation would be caused by the traversing of the larvae during migration from skeletal
muscle to other parts of the body. Using real-time RT-PCR, we found that IL-4 was
prominently expressed in skeletal muscle (Figure 5.2a) but downregulated in mammary gland
of the infected bred mice immediately after parturition i.e. the early lactation (timepoint II)
(Figure 5.2c). Establishment of a Th2 response by an increase in IL-4 production has been
reported to favor worm expulsion in other gastrointestinal helminths (Finkelmann, et al.,
1997).
We also found that both IL-4 and IFN-γ transcripts were upregulated at two weeks
post-infection with A. caninum L3 (timepoint I) in mammary gland of infected mice (Figure
5.2b and 5.3). This mixed Th1/Th2 response, which could be caused by larvae traversing
throughout the body before arrest, has also been shown to occur in filarial nematodes.
Immune responses to larval stages during acute infections in residents of filarial-endemic
areas, travelers and transmigrants from a non-endemic to an endemic have been found to be
associated with a mixed Th1/Th2 cytokine profile (Klion, et al., 1991; Elson, et al., 1995;
Cooper, et al., 2001; Henry, et al., 2001). Observations from human subjects in endemic
regions in China and Brazil have shown profound cellular hyporesponsiveness induced by
chronic hookworm infection (Loukas et al., 2005). In a re-infection study in Papua New
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Guinea, cytokine and proliferative responses to Necator were measured. Most subjects
produced detectable Th1 (IFN-γ) and Th2 (IL-4 and IL-5) cytokines in response to crude
adult worm antigen extract before anthelminthic treatment. Pre-treatment IFN-γ responses
were negatively associated with hookworm burden and increased significantly after
anthelminthic treatment (Quinnell et al., 2004). In a separate study, peripheral blood
mononuclear cells (PBMCs) from N. americanus infected school children, who had recently
received chemotherapy, had reduced proliferative capacity against phytohemagglutinin and
adult worm antigen extract compared to controls (Geiger et al., 2004). These individuals also
produced higher levels of IL-10 and lower levels of both Th1 (IL-12 and IFN-γ) and Th2 (IL-
5 and IL-13) cytokines. Such mixed Th1-type and Th2-type immune responsiveness
associated with chronic gastrointestinal parasitic nematode infections may reflect a state of
infection where a permissive Th1-type cytokine profile favors parasite persistence (Pit, et al.,
2001). These reports suggest that the mixed cytokine profile observed in mammary gland of
A. caninum infected mice may represent a typical cytokine profile associated with hookworm
infection. In conclusion, our results indicate that a Th2-like response characterized by
elevation in IL-4 levels predominates at the site of larval arrest in the infection and
pregnancy model. However, a mixed Th1/Th2 profile is observed in mammary gland of the
A. caninum infection mouse model.
125
Table 5.1 Primer sequences used for cytokine and reference gene transcript quantification by real-time RT-PCR
Primer pairs Gene Accession # Forward primer Reverse primer Product size 1 GAPDH BC098095 ccactacatggtctacatggttc ctcgctcctggaagatg 122 2 60S ribosomal protein BC011291 gattcgggatatgctgttgg aaagcctggaagaaggaggt 132 3 IL-4 NM_021283 cctcacagcaacgaagaaca atcgaaaagcccgaaagagt 155 4 IFN-γ K00083 gctttgcagctcttcctcat gtcaccatccttttgccagt 162
126
Larval counts
050
100150200250300350400450
IN IB IN IB IN IB
I II III
Num
ber
of la
rvae
Figure 5.1 Comparison of total larval burden in unbred versus bred BALB/c mice infected at times corresponding to day 19 gestation, day 1 and day 10 of postpartum lactation. Mice were infected with 1000 A. caninum L3 larvae subcutaneously. n = 5 mice per group. * indicates significant difference at p< 0.005 between unbred and bred groups.
*
127
0102030405060708090
100
I II III
Fold
cha
nge-
IL-4
mR
NA
Figure 5.2a IL-4 transcript levels in skeletal muscle of infected bred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from skeletal muscle collected from each timepoint and cDNA was synthesized for real-time PCR analyses. * indicates significant difference at p< 0.05 between uninfected unbred and infected bred groups.
*
128
-10
0
10
20
I II III
Fold
cha
nge-
IL-4
mR
NA
Figure 5.2b IL-4 transcript levels in mammary gland of infected unbred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from mammary gland collected from each timepoint and cDNA was synthesized for real-time PCR analyses. * indicates significant difference at p< 0.005 between uninfected unbred and infected unbred groups.
*
129
-20
-15
-10
-5
0
5
10
15
20
I II III
Fold
cha
nge-
IL-4
mR
NA
Figure 5.2c IL-4 transcript levels in mammary gland of infected bred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from mammary gland collected from each timepoint and cDNA was synthesized for real-time PCR analyses. * indicates significant difference at p< 0.05 between uninfected unbred and infected bred groups.
*
130
-10
-5
0
5
10
15
I II III
Fold
cha
nge-
IFN
-γγ γγ m
RN
A
Figure 5.3 IFN-γ transcript levels in mammary gland of infected unbred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from mammary gland collected from each timepoint and cDNA was synthesized for real-time PCR analyses. * indicates significant difference at p<0.05 between uninfected unbred and infected unbred groups.
*
131
6. Evaluation of endogenous reference genes for real-time PCR quantification of
gene expression in Ancylostoma caninum
Shweta Trivedi, Prema Arasu*
Department of Molecular Biomedical Sciences, North Carolina State University, 4700
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I, Nishimura F, Takashiba S. Quantitative real-time PCR using TaqMan and SYBR
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141
Figure Legends
Figure 6.1 Expression levels of candidate reference genes across different developmental
stages of A. caninum. Box plots for each reference gene represent a compilation of the
threshold cycles (Ct) for cDNAs from egg, L1/L2, iL3, and adult male and female worms (n
= 20 from duplicate analyses of each cDNA in 2 independent experiments). Eggs were
harvested via sucrose flotation as previous described [19]. L1/L2 stage larvae were obtained
by hatching eggs on agar plates for 24-36 hrs, sucrose centrifugation to remove remaining
eggs and repeated washing of the larvae in medicated PBS before freezing at -70C. L3
stage larvae were harvested from fecal/charcoal co-cultures [20] and adult worms were
recovered from the intestines of infected dogs at necropsy.
Figure 6.2 Expression levels of candidate reference genes in two different strains of A.
caninum. The ‘N’ strain was derived from a naturally infected dog in North Carolina and the
‘P’ strain was originally derived from Maryland and has been propagated in laboratory dogs
for more than 25 years. Box plots for each reference gene include threshold cycles (Ct) for
cDNAs from infective iL3 (n = 8).
Figure 6.3 Effect of combination of serum treatment and strain of A. caninum on expression
levels of candidate reference genes. Box plots for each reference gene include threshold
cycles (Ct) for cDNAs from infective L3 (n = 4) and serum-stimulated L3 (n = 4). Infective
iL3 from N and P strains of A. caninum were incubated for 20-24 hrs at 37C, 5% CO2 with or
without 5% normal dog serum; larvae were then incubated with an equal volume of 5 mg/ml
142
flourescein isothiocyanate-labeled bovine serum albumin (Sigma). Serum-stimulated larvae
(80-90% positive) were scored for reactivation by examination for fluorescent intestinal
tracts using UV microscopy [22].
143
Figure 6.1
144
Figure 6.2
145
Figure 6.3
146
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8. APPENDIX
For comparing variation in transcript levels of cytokine genes, Pair-Wise Fixed
mathematical model used to compute the relative expression ratio of a target gene relies on
its real-time PCR efficiencies (E) and the threshold cycle difference (∆Ct) of an unknown
sample versus a control
(∆Ct control - sample). The target gene expression is normalized to a reference gene (ref) in the
equation mentioned below:
Ratio = (E target) ∆Ct target (control - sample) / (E ref)
∆Ct ref (control - sample)
In our experimental setup control was the uninfected/unbred (UN) mice and samples were
the infected/unbred, uninfected bred (UB) and infected/bred (IB). For evaluating fold
upregulation or downregulation of transcripts between timepoints, early-lactation (timepoint
II) and mid-lactation (timepoint III) were compared to late-gestation (timepoint I) expression
of which was relative to control (UN). For fold upregulation or downregulation of TGF-β
isoforms and IGF-1 in IN, UB and IB groups, comparisons were also made relative to UN
controls during early-lactation (timepoint II) and mid-lactation (timepoint III) were compared
to late-gestation (timepoint I).
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Figure legends Figure 8.1a IL-4 transcript levels in skeletal muscle of infected unbred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from skeletal muscle collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.1b IL-4 transcript levels in skeletal muscle of uninfected bred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from skeletal muscle collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.1c IL-4 transcript levels in skeletal muscle of infected bred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from skeletal muscle collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.1d IL-4 transcript levels in mammary gland of infected unbred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from mammary gland collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.1e IL-4 transcript levels in mammary gland of uninfected bred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from mammary gland collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.1f IL-4 transcript levels in mammary gland of infected bred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from mammary gland collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.1g IL-4 transcript levels in spleen of infected unbred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from spleen collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.1h IL-4 transcript levels in spleen of uninfected bred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early
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lactation and III= mid-lactation). RNA was extracted from spleen collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.1i IL-4 transcript levels in spleen of infected bred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from spleen collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.2a IFN-γ transcript levels in skeletal muscle of infected unbred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from skeletal muscle collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.2b IFN-γ transcript levels in skeletal muscle of uninfected bred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from skeletal muscle collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.2c IFN-γ transcript levels in skeletal muscle of infected bred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from skeletal muscle collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.2d IFN-γ transcript levels in mammary gland of infected unbred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from mammary gland collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.2e IFN-γ transcript levels in mammary gland of uninfected bred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from mammary gland collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.2f IFN-γ transcript levels in mammary gland of infected bred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from mammary gland collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN.
165
Figure 8.2g IFN-γ transcript levels in spleen of infected unbred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from spleen collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.2h IFN-γ transcript levels in spleen of uninfected bred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from spleen collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.2i IFN-γ transcript levels in spleen of infected bred mice. Mice were sacrificed at three different timepoints during pregnancy and lactation (I= late gestation, II= early lactation and III= mid-lactation). RNA was extracted from spleen collected from each timepoint and cDNA was synthesized for real-time PCR analyses. Comparisons were made relative to UN. Figure 8.3a IL-4 transcript levels in skeletal muscle of infected unbred mice. Comparisons were made relative to timepoint I. Figure 8.3b IL-4 transcript levels in skeletal muscle of uninfected bred mice. Comparisons were made relative to timepoint I. Figure 8.3c IL-4 transcript levels in mammary gland of uninfected bred mice. Comparisons were made relative to timepoint I. Figure 8.3d IL-4 transcript levels in spleen of infected unbred mice. Comparisons were made relative to timepoint I. Figure 8.3e IL-4 transcript levels in spleen muscle of uninfected bred mice. Comparisons were made relative to timepoint I. Figure 8.3f IL-4 transcript levels in spleen muscle of infected bred mice. Comparisons were made relative to timepoint I. Figure 8.4a IFN-γ transcript levels in skeletal muscle of infected unbred mice. Comparisons were made relative to timepoint I. Figure 8.4b IFN-γ transcript levels in skeletal muscle of uninfected bred mice. Comparisons were made relative to timepoint I. Figure 8.4c IFN-γ transcript levels in skeletal muscle of infected bred mice. Comparisons were made relative to timepoint I.
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Figure 8.4d IFN-γ transcript levels in mammary gland of uninfected unbred mice. Comparisons were made relative to timepoint I. Figure 8.4e IFN-γ transcript levels in mammary gland of uninfected bred mice. Comparisons were made relative to timepoint I. Figure 8.4f IFN-γ transcript levels in mammary gland of infected bred mice. Comparisons were made relative to timepoint I. Figure 8.4g IFN-γ transcript levels in spleen of infected unbred mice. Comparisons were made relative to timepoint I. Figure 8.4h IFN-γ transcript levels in spleen of uninfected bred mice. Comparisons were made relative to timepoint I. Figure 8.4i IFN-γ transcript levels in spleen of infected bred mice. Comparisons were made relative to timepoint I.