characterization of a cytolytic cd4+ t-cell subset in
TRANSCRIPT
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Characterization of a Cytolytic CD4+ T-Cell Subset in Patients
with COPD
Stefan HackerSupervisor: Hendrik J Ankersmit
Department of Surgery, Medical University of Vienna
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COPD - Epidemiology• 2.38 million deaths in low-income countries• 0.30 million deaths in high-income countries (Lopez Lancet
2006)
• No. 3 leading cause of death by 2020 (Murray Lancet 1997)
• 23.9 billion $ direct +indirect costs (US alone) (Sullivan Chest2000)
• Enormous effects of co-morbidities
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COPD - Risk Factors• Multifactorial disease• Tobacco Smoking• Environmental Risk Factors
– Indoor air pollution, socio-economic status• Infections
– Viral (esp. during childhood)– Bacterial (Exacerbations!)
• Genetic Factors– Severe AATD (1-3% of all COPD) (Hersh Thorax 2004)
– Susceptibility Factors?
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Pathogenesis• Airflow limitation• Not fully reversible• One clinical complex –
different pathways
• Main diagnostic tool =spirometry
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Trigger mechanismsTobacco smoking,
Environmental factors, Infections, etc.
Inflammation of
lungtissue
Susceptibilityto progressive
airflow limitation
Progression ofimmune reponse
COPDChronicbronchitisLungemphysema
Airway remodeling
Acceleratedimpairment oflungfunction
FEV1, FEV1/ FVC
Yes No
Normal (age-related)decline of
lungfunction
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Adaptive Immunity & COPD• Total Lymphocytes ↑ in
COPD lungs• CD4+
• Increase develops aftermin. of 30 pack years
• Threshold dose? (Majo Eur Resp J 2001)
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Role of CD4 Cells• CD4+ lymphocytes
– in small airways• Numbers of patients
with CD4+ cells– increased with
disease severityCD4+ Cells
(Hogg NEJM 2004)
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Autoimmune Aspects
• Why do only some smokers develop COPD?• Why does inflammation persist after quitting
smoking?• What are possible antigens?• What leads to the creation of a possible auto-
antigen?
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Role of CD4+CD28null Cells• CD28 on T-cells - for co-stimulation
• Chronic antigen stimulation– downregulation of CD28– phenotypical changes– CD4+CD28null cells are senescent!– Chronically stimulated cells are apoptosis-resistant (Debantin J
Immunol 2003)
• CD4+CD28null cells– express Natural killer cell receptors (NKR)– produce IFN-gamma, perforin, granzyme B, etc.
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Role of CD4+CD28null Cells• Percentage of
CD4+CD28nullcells in the peripheral blood in different disease entities
• HC, healthy controls • RA, rheumatoid arthritis• MS, multiple sclerosis• AS, ankylosing spondylitis• PsA, psoriatic arthritis• SS, Sjögren Syndrome• SLE, systemic lupus erythematosus
(Thewissen Clin Immunol 2007)
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Role of CD4+CD28null Cells
Chronic stimulus
„Young“ CD4+ cell
CD28
CD4 TCR
„Old“ CD4+ cell
CD4 TCR
perforin granzyme B
NKR
CD28
IFN-γ
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Role of Heat Shock Proteins• Usually intracellular chaperons• Released after stress, trauma, etc.• Extracellular „danger signals“
• Modulate immune response– HSP-antigen-complexes
(Calderwood Ann NY Acad Sc 2007)
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Hypothesis
• Patients with COPD have increased numbers of CD4+CD28nullcells in systemic blood flow
• CD4+CD28null cells in COPD express Natural Killer Cell Receptors (NKR) – CD94, CD158
• CD4+CD28null cells in COPD produce increased amounts ofcytokines upon stimulation
• HSPs are increased in the serum of COPD patients
• Levels of CD4+CD28null cells and serum HSP can be used todiagnose COPD
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Materials and Methods• 4 study groups (n = 64)
– COPD – GOLD Stage I-II– COPD – GOLD Stage III-IV– Smokers without COPD– Healthy controls
• Exclusion criteria: – Acute exacerbation within 14 days before study entry– Steroids within 14 days before study entry – History of asthma, autoimmune diseases or other relevant
lung diseases (e.g., lung cancer, known α1-antitrypsin deficiency)
– Coronary artery disease, peripheral artery disease, and carotid artery disease
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Materials and Methods• Flow Cytometry
Analysis– CD4, CD28– CD94, CD158 (NKR)– Perforin, Granzyme B
(intracellular)• Stimulation of PBMCs
– with anti-CD3 or phytohemagglutinin(PHA)
– Cytokines insupernatants
• ELISA• Statistical analysis
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Patient CharacteristicsSubject
CategoryHealthy
Non-SmokersHealthy
SmokersCOPD
GOLD I&IICOPD
GOLD III&IVN 15 14 19 16
Male/Female 10/5 7/7 10/9 10/6
Age 57.20 (12.50) 56.64 (9.17) 60.68 (7.39) 58.31 (8.75)
Body Weight (kg) 71.6 (13.9) 76.4 (8.6) 79.7 (16.7) 81.1 (27.2)
Body Height (cm) 172.7 (10.9) 168.7 (8.1) 167.7 (12.1) 171.2 (7.9)
Lung Function
FVC (L) 4.55 (0.94) 3.84 (0.66) 3.33 (1.06) 2.14 (0.70)
FEV1 (%) 105.37 (17.11) 94.40 (11.96) 70.21 (13.33) 30.67 (12.66)
FEV1/VC (%) 76.80 (7.85) 75.95 (3.99) 61.74 (8.36) 37.80 (15.33)
MEF 50 (%) 100.67 (28.92) 87.64 (21.45) 39.42 (15.93) 11.93 (6.60)
MEF 25 (%) 103.53 (33.89) 75.71 (31.33) 37.37 (16.19) 20.00 (5.94)
Smoking History
Never-smoker 15 0 0 0
Ex-smoker 0 3 4 3
Current-smoker 0 11 15 13
Pack Years 0 34 (25.2) 47.3 (29.7) 44.0 (32.6)
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COPD III-IVCOPD I-IISmokerHealthy
CD
4+C
D28
null
%
14,00
12,00
10,00
8,00
6,00
4,00
2,00
0,00
p=0.012
p=0.002
p=0.202
p=0.234 p=0.046 p=0.061
COPD III-IVCOPD I-IISmokerHealthy
CD
4+C
D28
null
%
14,00
12,00
10,00
8,00
6,00
4,00
2,00
0,00
COPD III-IVCOPD I-IISmokerHealthy
CD
4+C
D28
null
%
14,00
12,00
10,00
8,00
6,00
4,00
2,00
0,00
p=0.012
p=0.002
p=0.202
p=0.234 p=0.046 p=0.061
p=0.012p=0.012
p=0.002p=0.002
p=0.202p=0.202
p=0.234p=0.234 p=0.046p=0.046 p=0.061p=0.061
Results I• Levels of
CD4+CD28null cells
– Healthy: 1.96%– Smokers: 1.50%– COPD I-II:
3.22%– COPD III-IV: 7.53%
– (RA: 5-8%)
4-fold
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Results II
CD4+CD28null GranzymeB+ %CD4+CD28+ GranzymeB+ %
%
100,00
80,00
60,00
40,00
20,00
0,00
p<0.001
CD4+CD28null GranzymeB+ %CD4+CD28+ GranzymeB+ %
%
100,00
80,00
60,00
40,00
20,00
0,00
p<0.001
„Old“ CD4+ cell
CD4 TCR
„Old“ CD4+ cell
CD4 TCR
NKR
CD28
NKR
CD28CD28
IFN-γIFN-γ
perforin granzyme B
CD4+CD28null Perforin+ %CD4+CD28+ Perforin+ %
%
60,00
50,00
40,00
30,00
20,00
10,00
0,00
p<0.001
CD4+CD28null Perforin+ %CD4+CD28+ Perforin+ %
%
60,00
50,00
40,00
30,00
20,00
10,00
0,00
CD4+CD28null Perforin+ %CD4+CD28+ Perforin+ %
%
60,00
50,00
40,00
30,00
20,00
10,00
0,00
p<0.001p<0.001
10-fold CD4+CD28null
40-fold CD4+CD28null
perforin
gran. B
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CD4+CD28null CD158+ %CD4+CD28+ CD158+ %
%
12,00
10,00
8,00
6,00
4,00
2,00
0,00
p<0.001
CD4+CD28null CD158+ %CD4+CD28+ CD158+ %
%
12,00
10,00
8,00
6,00
4,00
2,00
0,00
p<0.001
CD4+CD28null CD94+ %CD4+CD28+ CD94+ %
%
14,00
12,00
10,00
8,00
6,00
4,00
2,00
0,00
p<0.001
CD4+CD28null CD94+ %CD4+CD28+ CD94+ %
%
14,00
12,00
10,00
8,00
6,00
4,00
2,00
0,00
p<0.001
Results III
„Old“ CD4+ cell
CD4 TCR
„Old“ CD4+ cell
CD4 TCR
NKR
CD28
NKR
CD28CD28
IFN-γIFN-γ
perforin granzyme B
7-fold CD4+CD28null
5-fold CD4+CD28null
CD94
CD158
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Results IV
0 2 4 6 8 10 12
020
4060
8010
0
CD4+CD28null
FEV
1 %
r= -0.49 , p<0.001
0 2 4 6 8 10 12
050
100
150
200
CD4+CD28null
ME
F50%
r= -0.4 , p=0.001
0 2 4 6 8 10 12
050
100
150
200
CD4+CD28null
ME
F25%
r= -0.38 , p=0.002
Decreased lung function=
higher levelsof CD4+CD28null cells
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Results V• Logistic regression
model• CD4+CD28null cells as
diagnostic marker• ROC-curve
– AUC = 0.76
• In MCI: (Collinson Heart, 2003)
– Troponin: • AUC = 0.78 (<2 hrs.)• AUC = 0.86 (2-6 hrs.)False positive rate
True
pos
itive
rate
0.0 0.2 0.4 0.6 0.8 1.0
0.0
0.2
0.4
0.6
0.8
1.0
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Results VI
Subject Category Healthy Smoker COPD
GOLD I&IICOPD
GOLD III&IV
IFN-γ CD3 (pg/mL) 272 240 440 328
IFN-γ PHA (pg/mL) 116 91 375 134
TNF-α CD3 (pg/mL) 922 731 1234 1508
TNF-α PHA (pg/mL) 1096 777 2465 1144
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Results VII
HSP27 HSP70
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Results VIII
AUCHSP27 = 0.763HSP70 = 0.885
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Conclusions• CD4+CD28null cells
– are systemically increased in COPD– show immunologic features of NK cells– contribute to immune activation (IFN-γ, etc.)– may be the link between lung and inflammation of other
organs
• HSPs– are increased in serum of patients with COPD– may contribute to adaptive immune response
• Quantification of CD4+CD28null cells + HSPs– may help in the diagnostic process
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The future• Prospective study design
– CD4+CD28null cells as risk factor?
• Describe CD4+CD28null cells in the lung tissue ofpatients
• Develop screening tests (cells, HSPs)
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Thank you for your attention!
Special thanks to :
Supervisor: HJ. AnkersmitDep. of Pulmonary Medicine, MUW: C. LambersDep. of Medical Statistics, MUW: M. PoschDep. of Surgery, Columbia Univ. NY: A. PollreiszDep. of Surgery, MUW: K. Hoetzenecker, A. Mangold, T. Niederpold,
M. Lichtenauer, B. Moser, S. Nickl, W. Klepetko,