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CHOP
GAPDH
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WT PyMT
(pg/  mL)
Plasma
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Fold  Change  (vs.  WT)
The National Mouse Metabolic Phenotyping Center (MMPC) @ UMass is designed to
provide the scientific community with sophisticated and standardized experimental
tools for the purpose of investigating transgenic mouse models and understanding
obesity, diabetes and its complications. The MMPC @ UMass is composed of a
multidisciplinary group of investigators at the UMass Medical School and consists of
the following Phenotyping Cores:
1. Metabolism Core performs elegant and non-invasive metabolic experiments to
assess insulin sensitivity, glucose/lipid/protein metabolism, body composition and
energy balance in conscious mice.
2. Analytical Core utilizes clinical chemistry analyzer and Luminex to perform high-
throughput measurement of serum/tissue hormones, metabolites and cytokines known
to affect metabolism.
3. Cardiovascular Core applies a state-of-the-art imaging platform to non-invasively
assess cardiac structure and function and vascular imaging to examine cardiovascular
diseases.
Home Page
Mission
Service
Services and Fees
Resources
Contact Us
Administration
Phenotyping Cores
Request for
National Mouse Metabolic Phenotyping Center @ UMass
http://www.umassmed.edu/umpc/index.aspx
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Expression
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Increased  Circulating  and  Muscle-­specific  Cytokines  Level  in  PyMT+ Mice
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The 2016 NIH Summer Research Fellowship Program at UMass Medical School
NIH Grant #2 R25 HL092610-07 Website: http://www.umassmed.edu/summer
Transgenic  Mouse  Model  of  Breast  Cancer  Causes  Skeletal  Muscle  
Inflammation  and  Insulin  Resistance
Stephanie  Choi1,  Hee Joon Kang1,  Suchaorn Saengnipanthkul1,  Kunikazu Inashima1,  Hye-­Lim  Noh1,  
Randall  H.  Friedline1,  Jose  Mercao-­Matos3,  Leslie  M.  Shaw3 and  Jason  K.  Kim1,2
1Program  in  Molecular  Medicine,  2Department  of  Medicine,  Division  of  Endocrinology,  Metabolism  and  Diabetes,  and  3Department  of  Cell  &  Cancer  Biology
Stephanie.Choi@umassmed.edu
[1]  Cairns,  R.  et  al.  (2011)  Regulation  of  cancer  cell  metabolism.  Nature  
Reviews  Cancer,  11:  85-­95.
[2]  Cartensen,  B.  et  al.  (2016).  Cancer  incidence  in  persons  with  type  1  
diabetes:  a  five-­country  study  of  9,000  cancers  in  type  1  diabetic  
individuals.  Diabetologia.  59(5):  980-­988.
[3]  Gray,  S.  &  Kim,  J.  (2011).  New  insights  into  insulin  resistance  in  the  diabetic  
heart.  Trends  in  Endocrinology  &  Metabolism, 22:  389-­428.  
[4]  Janowska J.  et.  al.  (2006)  Relationship  between  serum  resistin
concentration  and  proinflammatory cytokines  in  obese  women  with  
impaired  and  normal  glucose  tolerance.  Metabolism. 55  (11):  1495-­1499.
[5]  Kang,  Y.E.  et.  al.  (2016).  The  roles  of  adipokines,  proinflammatory cytokines,  
and  adipose  tissue  macrophages  in  obesity-­associated  insulin  resistance  
in  modest  obesity  and  early  metabolic  dysfunction.  PLos One.  11(4).
[6]  Larsson,  S.C.  et  al.  (2007).  Diabetes  mellitus  and  risk  of  breast  cancer:  A  
meta-­analysis.  Int.  J.  Cancer. 121:  856-­862.  
[7]  Peake,  J.  et  al.  (2015).  Cytokine  expression  and  secretion  by  skeletal  
muscle  cells:  regulatory  mechanisms  and  exercise  effects.  21:  8-­25.
[8]  United  States  Cancer  Statistics:  1999-­2012  Incidence  and  Mortality  Web-­
based  Report.  U.S.  Cancer  Statistics  Working  Group. Atlanta,  GA:  U.S.  
Department  of  Health  and  Human  Services,  Centers  for  Disease  Control  
and  Prevention,  and  National  Cancer  Institute.
Our  findings  suggest  a  novel  paradigm  in  which  
inflammatory  cytokines  and  macrophages  derived  from  
the  tumor  microenvironment  affects  muscle  glucose  
metabolism  and  causes  muscle  insulin  resistance.
Epidemiological  evidence  has  highlighted  a  relationship  
between  breast  cancer  and  diabetes.  Furthermore,  
breast  cancer  is  associated  with  an  inflammatory  
response,  but  the  underlying  mechanisms  leading  to  
inflammation  and  its  effect  on  glucose  metabolism  and  
insulin  signaling  remain  poorly  understood.  Here  we  
examined  glucose  metabolism  in  a  transgenic  mouse  
model  of  breast  cancer  expressing  the  polyoma middle  
T-­antigen  oncogene  driven  by  the  Mouse  Mammary  
Tumor  Virus  promoter  (MMTY-­PyMT).  A  
hyperinsulinemic-­euglycemic clamp  was  performed  in  
female  MMTV-­PyMT and  WT  mice  at  8-­9  weeks  of  age.  
Whole  body  glucose  turnover  rates  were  significantly  
decreased  in  MMTV-­PyMT mice  with  a  20%  decrease  
in  insulin-­stimulated  glucose  uptake  observed  in  
skeletal  muscle.  More  macrophages  were  found  in  
skeletal  muscle  of  MMTV-­PyMT mice,  as  suggested  by  
increased  CD68  and  F4/80  mRNA  levels..  Consistent  
with  this,  MMTV-­PyMT mice  also  had  a  significant  
increase  in  circulating  plasma  levels  and  skeletal  
muscle  mRNA  expression  of  IL-­6,  MCP-­1,  and  G-­CSF.  
In  particular,  there  was  a  trend  of  increased  mRNA  
expression  of  Arg1,  a  M2 macrophage-­specific  marker.  
A  similar  trend  was  observed  in  tumor  tissues,  but  with  
much  higher  gene  expression  of  inflammatory  
cytokines  and  Arg1  as  compared  to  skeletal  muscle.  
Skeletal  muscle  of  MMTV-­PyMT mice  showed  a  trend  
towards  higher  expression  of  the  stress-­response  
protein,  CHOP,  possibly  caused  by  increased  
inflammation.  These  results  indicate  that  tumor-­bearing  
MMTV-­PyMT mice  develop  insulin  resistance  in  
skeletal  muscle,  along  with  increased  gene  expression  
of  macrophage  markers  and  levels  of  inflammatory  
cytokines.  Taken  together,  our  findings  suggest  a  novel  
paradigm  in  which  tumor  microenvironment-­derived  
inflammatory  cytokines  affect  muscle  glucose  
metabolism,  providing  new  insights  into  the  relationship  
between  breast  cancer  and  insulin  resistance.  
Breast  Cancer  Mouse  Model:  MMTV-­PyMT+ Transgenic  Mice
Ø MMTV-­PyMT mice  that  express  Polyoma Virus  middle  T  antigen  (PyMT)  under  
the  direction  of  the  mouse  mammary  tumor  virus  (MMTV)  promoter  and  WT  mice  
at  8~9  weeks  of  age  (n=9~12  per  group)
Ø A  2-­hr  hyperinsulinemic-­euglycemic clamp  with  [3H]-­glucose  and  [14C]-­2-­DG  was  
conducted  in  awake  mice  to  measure  insulin  sensitivity  and  glucose  metabolism
Ø Western  blot,  RT-­qPCR,  and  multiplexed  Luminex assay  were  used  to  assess  
insulin  signaling  and  inflammation  in  peripheral  organs.WT PyMT+
Abstract
q Epidemiological  evidence  suggests  an  association  
between  both  type  1  diabetes  mellitus  (T1DM)  [2]  
and  type  2  diabetes  mellitus  (T2DM)  with  increased  
breast  cancer  incidence  and  mortality  [6,8]
q Insulin  resistance,  or  impaired  insulin  sensitivity,  is  a  
key  characteristic  of  T2DM.  It  results  in  impaired  
glucose  metabolism  [3,4]
q According  to  the  Warburg  effect,  cancer  tumor  cells  
exhibit  shifting  in  ATP  generation  through  oxidative  
phosphorylation  to  using  glycolysis,  thus  requires  an  
abnormally  high  rate  of  glucose  uptake  [1],  which  
may  impact  glucose  metabolism  in  other  tissues.
q Inflammation  along  with  elevated  levels  of  cytokines  
is  a  major  event  during  obesity-­mediated  insulin  
resistance  [5,7]
Study  Design Proposed  Model
Error  bars  indicate  standard  error.*P <  0.05,  **P <  0.01  mark  degree  of  statistical  significance  between  groups.
This  study  was  funded  by  NIH  grants  (R01-­DK080756  
and  R24-­DK090963),  and  the  National  Mouse  
Metabolic  Phenotyping  Center  at  UMass  (U24-­
DK093000).  I  would  like  to  extend  a  thank  you  for  the  
support  and  assistance  offered  by  Mrs.  Karen  J.  
Zirpola-­Miller,  Dr.  Deborah  H.  Hines,  Dr.  Brian  Lewis,  
Dr.  Regino  Mercado-­Lubo,  and  Mrs.  Linhelle  Charles.
To  examine  the  inflammatory  effects  of  breast  cancer  in  
MMTV-­PyMT mice  on  insulin  action  and  glucose  
metabolism
Tumor
Tumor  
microenvironment
Skeletal  Muscle
Mac
Mac
Mac
Mac
Mac
G-­CSF
MCP-­1
IL-6
Insulin  Resistance
Glucose  metabolism
Cytokines
Macrophages
Mac
Future  studies  will  evaluate  the roles  of  specific  
inflammatory  cytokines  and  macrophages  in  regulating  
systemic  glucose  metabolism  and  insulin  signaling  
pathway  via  inflammation  in  breast  cancer  tumor  model.
*
*
QD Tumor              
Whole  Body  Glucose  
Turnover
Skeletal  Muscle
Glucose  Uptake
*
Reduced  Glucose  Metabolism  and  Insulin  Sensitivity  in  PyMT+ Mice
Hepatic  Insulin  Action
IL-­6   G-­CSF MCP-­1
*
*
**
**
*
QD Tumor                 QD Tumor              
WT      PyMT WT      PyMT
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(μmo/kg/min)
*
Results    
Introduction
Specific  Aim
Conclusion
Future  Studies
References
Acknowledgements
40
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*
0
1
2
3
CD11c Arg1 CD11c Arg1
0.0
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1.0
1.5
CD68 F4/80
Fold  Change  (vs.  WT)
0.0
0.5
1.0
1.5
2.0
2.5
3.0
CD68 F4/80
Fold  Change  (vs.  WT)
*
*
Quadriceps  (QD) Liver
WT PyMT
0
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20
CD68 F4/80
Fold  Change  (vs.  WT  QD)
Tumor
*
*
*
*
105
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102
10
0
20
30
40
p =  0.13
PyMT+ Mice  Have  Increased  Macrophage  Marker  mRNA  Expression
2
1
0
0
0.5
1
1.5
2
2.5
3
WT PyMT
Fold  Change  
CHOP
p =  0.14
*
PlasmaPlasmaPlasma
mRNA
Expression
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WT PyMT
(pg/  mL)
.
0
2000
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6000
8000
WT PyMT
(pg/  mL)
.
WT
PyMT
Analysis  of  Stress  Signaling  in  Skeletal  Muscle  of  PyMT+ Mice
WT  QD PyMT QD

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Stephanie_Choi_Poster

  • 1. CHOP GAPDH 0 50 100 150 200 250 WT PyMT (pg/  mL) Plasma 0 1 2 3 4 5 6 WT PyMT PyMT Fold  Change  (vs.  WT) The National Mouse Metabolic Phenotyping Center (MMPC) @ UMass is designed to provide the scientific community with sophisticated and standardized experimental tools for the purpose of investigating transgenic mouse models and understanding obesity, diabetes and its complications. The MMPC @ UMass is composed of a multidisciplinary group of investigators at the UMass Medical School and consists of the following Phenotyping Cores: 1. Metabolism Core performs elegant and non-invasive metabolic experiments to assess insulin sensitivity, glucose/lipid/protein metabolism, body composition and energy balance in conscious mice. 2. Analytical Core utilizes clinical chemistry analyzer and Luminex to perform high- throughput measurement of serum/tissue hormones, metabolites and cytokines known to affect metabolism. 3. Cardiovascular Core applies a state-of-the-art imaging platform to non-invasively assess cardiac structure and function and vascular imaging to examine cardiovascular diseases. Home Page Mission Service Services and Fees Resources Contact Us Administration Phenotyping Cores Request for National Mouse Metabolic Phenotyping Center @ UMass http://www.umassmed.edu/umpc/index.aspx 0 2 4 6 8 10 12 WT PyMT PyMT Fold  Change  (vs.  WT) mRNA Expression 0 200 400 600 800 WT PyMT (nmol/g/min) 0 2 4 6 8 10 12 WT PyMT PyMT Fold  Change  (vs.  WT) mRNA Expression Increased  Circulating  and  Muscle-­specific  Cytokines  Level  in  PyMT+ Mice 0 5 10 15 20 25 Body  Weight Fat  Mass (g) Body  Composition 1.25mU  Insulin 2.5mU  Insulin 0 50 100 (%) The 2016 NIH Summer Research Fellowship Program at UMass Medical School NIH Grant #2 R25 HL092610-07 Website: http://www.umassmed.edu/summer Transgenic  Mouse  Model  of  Breast  Cancer  Causes  Skeletal  Muscle   Inflammation  and  Insulin  Resistance Stephanie  Choi1,  Hee Joon Kang1,  Suchaorn Saengnipanthkul1,  Kunikazu Inashima1,  Hye-­Lim  Noh1,   Randall  H.  Friedline1,  Jose  Mercao-­Matos3,  Leslie  M.  Shaw3 and  Jason  K.  Kim1,2 1Program  in  Molecular  Medicine,  2Department  of  Medicine,  Division  of  Endocrinology,  Metabolism  and  Diabetes,  and  3Department  of  Cell  &  Cancer  Biology Stephanie.Choi@umassmed.edu [1]  Cairns,  R.  et  al.  (2011)  Regulation  of  cancer  cell  metabolism.  Nature   Reviews  Cancer,  11:  85-­95. [2]  Cartensen,  B.  et  al.  (2016).  Cancer  incidence  in  persons  with  type  1   diabetes:  a  five-­country  study  of  9,000  cancers  in  type  1  diabetic   individuals.  Diabetologia.  59(5):  980-­988. [3]  Gray,  S.  &  Kim,  J.  (2011).  New  insights  into  insulin  resistance  in  the  diabetic   heart.  Trends  in  Endocrinology  &  Metabolism, 22:  389-­428.   [4]  Janowska J.  et.  al.  (2006)  Relationship  between  serum  resistin concentration  and  proinflammatory cytokines  in  obese  women  with   impaired  and  normal  glucose  tolerance.  Metabolism. 55  (11):  1495-­1499. [5]  Kang,  Y.E.  et.  al.  (2016).  The  roles  of  adipokines,  proinflammatory cytokines,   and  adipose  tissue  macrophages  in  obesity-­associated  insulin  resistance   in  modest  obesity  and  early  metabolic  dysfunction.  PLos One.  11(4). [6]  Larsson,  S.C.  et  al.  (2007).  Diabetes  mellitus  and  risk  of  breast  cancer:  A   meta-­analysis.  Int.  J.  Cancer. 121:  856-­862.   [7]  Peake,  J.  et  al.  (2015).  Cytokine  expression  and  secretion  by  skeletal   muscle  cells:  regulatory  mechanisms  and  exercise  effects.  21:  8-­25. [8]  United  States  Cancer  Statistics:  1999-­2012  Incidence  and  Mortality  Web-­ based  Report.  U.S.  Cancer  Statistics  Working  Group. Atlanta,  GA:  U.S.   Department  of  Health  and  Human  Services,  Centers  for  Disease  Control   and  Prevention,  and  National  Cancer  Institute. Our  findings  suggest  a  novel  paradigm  in  which   inflammatory  cytokines  and  macrophages  derived  from   the  tumor  microenvironment  affects  muscle  glucose   metabolism  and  causes  muscle  insulin  resistance. Epidemiological  evidence  has  highlighted  a  relationship   between  breast  cancer  and  diabetes.  Furthermore,   breast  cancer  is  associated  with  an  inflammatory   response,  but  the  underlying  mechanisms  leading  to   inflammation  and  its  effect  on  glucose  metabolism  and   insulin  signaling  remain  poorly  understood.  Here  we   examined  glucose  metabolism  in  a  transgenic  mouse   model  of  breast  cancer  expressing  the  polyoma middle   T-­antigen  oncogene  driven  by  the  Mouse  Mammary   Tumor  Virus  promoter  (MMTY-­PyMT).  A   hyperinsulinemic-­euglycemic clamp  was  performed  in   female  MMTV-­PyMT and  WT  mice  at  8-­9  weeks  of  age.   Whole  body  glucose  turnover  rates  were  significantly   decreased  in  MMTV-­PyMT mice  with  a  20%  decrease   in  insulin-­stimulated  glucose  uptake  observed  in   skeletal  muscle.  More  macrophages  were  found  in   skeletal  muscle  of  MMTV-­PyMT mice,  as  suggested  by   increased  CD68  and  F4/80  mRNA  levels..  Consistent   with  this,  MMTV-­PyMT mice  also  had  a  significant   increase  in  circulating  plasma  levels  and  skeletal   muscle  mRNA  expression  of  IL-­6,  MCP-­1,  and  G-­CSF.   In  particular,  there  was  a  trend  of  increased  mRNA   expression  of  Arg1,  a  M2 macrophage-­specific  marker.   A  similar  trend  was  observed  in  tumor  tissues,  but  with   much  higher  gene  expression  of  inflammatory   cytokines  and  Arg1  as  compared  to  skeletal  muscle.   Skeletal  muscle  of  MMTV-­PyMT mice  showed  a  trend   towards  higher  expression  of  the  stress-­response   protein,  CHOP,  possibly  caused  by  increased   inflammation.  These  results  indicate  that  tumor-­bearing   MMTV-­PyMT mice  develop  insulin  resistance  in   skeletal  muscle,  along  with  increased  gene  expression   of  macrophage  markers  and  levels  of  inflammatory   cytokines.  Taken  together,  our  findings  suggest  a  novel   paradigm  in  which  tumor  microenvironment-­derived   inflammatory  cytokines  affect  muscle  glucose   metabolism,  providing  new  insights  into  the  relationship   between  breast  cancer  and  insulin  resistance.   Breast  Cancer  Mouse  Model:  MMTV-­PyMT+ Transgenic  Mice Ø MMTV-­PyMT mice  that  express  Polyoma Virus  middle  T  antigen  (PyMT)  under   the  direction  of  the  mouse  mammary  tumor  virus  (MMTV)  promoter  and  WT  mice   at  8~9  weeks  of  age  (n=9~12  per  group) Ø A  2-­hr  hyperinsulinemic-­euglycemic clamp  with  [3H]-­glucose  and  [14C]-­2-­DG  was   conducted  in  awake  mice  to  measure  insulin  sensitivity  and  glucose  metabolism Ø Western  blot,  RT-­qPCR,  and  multiplexed  Luminex assay  were  used  to  assess   insulin  signaling  and  inflammation  in  peripheral  organs.WT PyMT+ Abstract q Epidemiological  evidence  suggests  an  association   between  both  type  1  diabetes  mellitus  (T1DM)  [2]   and  type  2  diabetes  mellitus  (T2DM)  with  increased   breast  cancer  incidence  and  mortality  [6,8] q Insulin  resistance,  or  impaired  insulin  sensitivity,  is  a   key  characteristic  of  T2DM.  It  results  in  impaired   glucose  metabolism  [3,4] q According  to  the  Warburg  effect,  cancer  tumor  cells   exhibit  shifting  in  ATP  generation  through  oxidative   phosphorylation  to  using  glycolysis,  thus  requires  an   abnormally  high  rate  of  glucose  uptake  [1],  which   may  impact  glucose  metabolism  in  other  tissues. q Inflammation  along  with  elevated  levels  of  cytokines   is  a  major  event  during  obesity-­mediated  insulin   resistance  [5,7] Study  Design Proposed  Model Error  bars  indicate  standard  error.*P <  0.05,  **P <  0.01  mark  degree  of  statistical  significance  between  groups. This  study  was  funded  by  NIH  grants  (R01-­DK080756   and  R24-­DK090963),  and  the  National  Mouse   Metabolic  Phenotyping  Center  at  UMass  (U24-­ DK093000).  I  would  like  to  extend  a  thank  you  for  the   support  and  assistance  offered  by  Mrs.  Karen  J.   Zirpola-­Miller,  Dr.  Deborah  H.  Hines,  Dr.  Brian  Lewis,   Dr.  Regino  Mercado-­Lubo,  and  Mrs.  Linhelle  Charles. To  examine  the  inflammatory  effects  of  breast  cancer  in   MMTV-­PyMT mice  on  insulin  action  and  glucose   metabolism Tumor Tumor   microenvironment Skeletal  Muscle Mac Mac Mac Mac Mac G-­CSF MCP-­1 IL-6 Insulin  Resistance Glucose  metabolism Cytokines Macrophages Mac Future  studies  will  evaluate  the roles  of  specific   inflammatory  cytokines  and  macrophages  in  regulating   systemic  glucose  metabolism  and  insulin  signaling   pathway  via  inflammation  in  breast  cancer  tumor  model. * * QD Tumor               Whole  Body  Glucose   Turnover Skeletal  Muscle Glucose  Uptake * Reduced  Glucose  Metabolism  and  Insulin  Sensitivity  in  PyMT+ Mice Hepatic  Insulin  Action IL-­6   G-­CSF MCP-­1 * * ** ** * QD Tumor                 QD Tumor               WT      PyMT WT      PyMT 0 200 400 600 WT PyMT (μmo/kg/min) * Results     Introduction Specific  Aim Conclusion Future  Studies References Acknowledgements 40 60 80 100 * 0 1 2 3 CD11c Arg1 CD11c Arg1 0.0 0.5 1.0 1.5 CD68 F4/80 Fold  Change  (vs.  WT) 0.0 0.5 1.0 1.5 2.0 2.5 3.0 CD68 F4/80 Fold  Change  (vs.  WT) * * Quadriceps  (QD) Liver WT PyMT 0 5 10 15 20 CD68 F4/80 Fold  Change  (vs.  WT  QD) Tumor * * * * 105 104 103 102 10 0 20 30 40 p =  0.13 PyMT+ Mice  Have  Increased  Macrophage  Marker  mRNA  Expression 2 1 0 0 0.5 1 1.5 2 2.5 3 WT PyMT Fold  Change   CHOP p =  0.14 * PlasmaPlasmaPlasma mRNA Expression 0 10 20 30 40 50 WT PyMT (pg/  mL) . 0 2000 4000 6000 8000 WT PyMT (pg/  mL) . WT PyMT Analysis  of  Stress  Signaling  in  Skeletal  Muscle  of  PyMT+ Mice WT  QD PyMT QD