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Prospettive dell’impiego di test immunologici per lo studio della tubercolosi latente
Delia Goletti
World TB day 2017
Unità di Ricerca Traslazionale, INMI
Roma, 20 marzo 2017
National Institute for Infectious Diseases (INMI) L. Spallanzani, Rome, Italy
HIV: 5,500-6,000
HCV: 1,500-2,000
HBV: 800-1,000
Active TB: 280-300, LTBI: 200-300
Ebola: 2 cases
Outpatient Clinic of Pneumology
yearly
Translational Research Unit
LTBI definition
New tests and new approches
Assays used for LTBI
This talk…
LTBI
x
Worldwide LTBI: size of the problem
LTBI1.7 billion
(Houben, Plos Med 2016)
Active
TB10.4 million
Around 163 fold difference
Wlodarska et al. Clin. Microbiol. Rev., 2015
Infectious spread of M. tuberculosis and resulting disease
LTBI
Schematic approach for programmatic management of latent tuberculosis infection (WHO guidelines)
Getahun et al, ERJ 2015
Flexible approach: WHO recommendations on target populations
High-income and upper middle-
income countries with estimated TB
incidence less than 100
per 100,000 population
Global
Strong • PLHIV
• Household and close contacts (adult and children)
• Patients with silicosis
• Patients on anti-TNF treatment
• Patients receiving dialysis
• Patients under transplantation
• PLHIV
• Household and close
contacts (children, <5
years)
Conditional • Prisoners
• Health workers
• Immigrants from HBC
• Homeless persons
• Illicit drug users Getahun et al, ERJ 2015
Assays used for LTBI diagnosis
This talk…
IGRAs: tests for LTBI diagnosis
ESAT-6, CFP-10
IFN-γ
PBMC Whole Blood
T SPOT.TB QuantiFERON TB Plus
Limitations of the TST (by Mantoux)
Reagent:
Purified protein derivative (PPD) commonly shared among different Mycobacteria (M.tuberculosis, BCG and atypical mycobacteria)
Variability:
Reproducibility in giving the test
Subjectivity in reading the test
Logistics
Repeat visit needed
3 days before result
Positive RD1-IGRA
BCG-vaccination
NTM
Positive M. tuberculosis infection/disease
RD1-IGRA
Accuracy of IGRA and TST in adults
Test Sensitivity for active TB Specificity for TB
Percentage
Sensitivity for active TBSpecificity for
infectionSpecificity for
active TB
TST 6559*/97 75
QFT-IT 80 96 79
T-SPOT.TB 8193 59
*BCG-vaccinated
Goletti et al, J of Rheumathology, 2014;
Sester et Sotgiu et al, ERJ 2010
IGRA in HIV+
Sensitivity:
QFT: 61%
T SPOT-TB: 65%
Specificity:
QFT: 63%
T SPOT-TB: 70%
Santin et al, PloS One 2012
Predictive value of TST and IGRA for incident active tuberculosis in adults
Zellweger et al, AJRCCM 2015
Rangaka et al, TLID 2011
Advantages of IGRA compared to TST
ADVANTAGES
No impact of BCG vaccination
No booster effect
Higher standardization (lab test)
1 day test
DISADVANTAGES
Need of a draw blood
Cost
Logistic (time, transportation)
No standardization of the assay for age, exposure, immune-suppression, work-environment
No discrimination between active TB and LTBI
Impact of immune defects on the test accuracy
Low predictive value for TB
development
CD8+ T-cell specific response and TB
In HIV-uninfected patients: 15% LTBI patients vs 60%
active TB (Rozot, 2013)
In HIV-infected patients: CD8-specific response is
associated with active TB (Chiacchio, 2014)
Chiacchio et al, J Infection 2014
Rozot et al, J Eur Immunol, 2013
CD8+ T-cell frequency decreases in active TB patients after TB-specific therapy
Day et al, J Immunol 2011
CD8+ T-cell response is associated with a
recent exposure to TB and active TB disease
Nikolova et al, Diagn Microb Inf Dis, 2013
CD4
CD8
QuantiFERON TB Plus
This talk…
QuantiFERON-TB Gold vs QuantiFERON-TB Gold PLUS
QuantiFERON® TB Gold In tube
Blood
collection nil TB antigen mitogen
QuantiFERON® TB Gold Plus
nil TB 1 mitogenTB 2CD4 +
T-cellsCD4+ and
CD8 + T-cellsCD4+
T-cells
ESAT-6 polypeptides
CFP-10 polypeptides
TB7.7 polypeptides
• ESAT-6 polypeptides
• CFP-10 polypeptides
• TB7.7 polypeptides
Peptides
Type
Length
• ESAT-6 polypeptides
• CFP-10 polypeptides
• TB7.7 polypeptides
+
additional 6 short
peptides
Gating strategy
Petruccioli et al, J Infection 2016
TB 1: CD4 response.TB 2: CD4 response in all groups and CD8 response in active TB
Petruccioli et al, submitted
0.00
0.05
0.10
0.15
0.200.20.61.01.41.82.22.63.0
Fre
qu
en
cy
of
IFN
+ C
D4
-T c
ells
(%
)
0.00
0.05
0.10
0.15
0.200.20.61.01.41.82.22.63.0
Fre
qu
en
cy
of
IFN
+ C
D8
-T c
ells
(%
)
p=0.03
CD4 response by cytometry CD8 response by cytometry
TB1-antigenresponders
TB2-antigenresponders
TB LTBI
Remote
LTBI
Recent
TB LTBI
Remote
LTBI
Recent
TB1-antigenresponders
TB2-antigenresponders
TB LTBI
Remote
LTBI
Recent
TB LTBI
Remote
LTBI
Recent
p=0.03
A B
CD4
TB1 N (%)
CD4
TB2 N (%)(N)
CD8
TB1 N (%)
CD8
TB2 N (%)
19 (83) 21 (91) ACTIVE TB (23) 4 (17) 11 (48)
17 (94) 15 (83) LTBI REMOTE (18) 3 (17) 3 (17)
12 (100) 11 (92) LTBI RECENT (12) 4 (33) 3 (25)
48 (90.5) 47 (89) TOTAL (53) 11 (21) 17 (32)
Petruccioli et al, J Infection 2016
0
2
4
6
8
1 0
Nu
mb
er o
f re
sp
on
de
rs
In te rm e d ia te /h ig h s e v e r ity T B
L o w s e v e r ity T B
T B 1 T B 2
C D 4 T -c e ll r e p o n s e
T B 1 T B 2
C D 8 T -c e ll r e p o n s e
In active TB: immune response to TB1 and TB2 antigens according to TB severity
Petruccioli et al, J Infection 2016
Take home message: QFT-Plus in active TB
CD8-T cell response is associated with TB2
CD8-T cell response is associated with severe TB
Multicenter study
Cirillo DM, Barcellini L, Borroni EEmerging Bacterial Pathogen Unit Ospedale San Raffaele, Milano, IT
Ruffo Codecasa L, A.O Niguarda, Milano, IT
Tadolini M, Ospedale Sant’Orsola, Bologna, IT
Goletti D, INMI Lazzaro Spallanzani, Roma, IT
Brunetti E, IRCCS San Matteo, Pavia, IT
Brown J, Free Royal Hospital, London, UK
Aim
To evaluate the accuracy of QFT-Plus in:
Active TB
Recent contacts TST+
Accuracy of QFT-Plus for active TB detection
Active TBpatientsn=119
Negative Positive Indeterminate Sensitivity(excluding
indeterminate)%
TB1 20 96 3 83
TB2 15 101 3 87
QFT-Plus 14 119 3 88
Barcellini et al, ERJ 2016
Negative Positive Indeterminate Specificity%
TB1 104 2 0 98
TB2 104 1 1 98
QFT-Plus 103 3 0 97
Take home message: QFT-Plus in active TB
CD8-T cell response is associated with TB2
CD8-T cell response is associated with severe TB
Sensitivity for active TB detection is likely higher than QFT-IT
QFT-Plus and contact screening
119 recent contacts TST+ baseline
56 QFT-IT positive
+ baseline After 3 months
63 QFT-IT negative 2 QFT-IT conversion
Barcellini et al, ERJ 2016
Contact screening
QFT-GIT results
QFT Plus results
Positive results
per tube
QTF Plus IFN- γ concentrations (IU/ml)*
Negative Positive
TB1 TB2 TB1-Nil TB2-Nil
Negative (n=63)
51 (80.9%) 12 (19.0%)
10° 10
§ 0.01 (-0.01;0.17) 0.04 (0;0.23)
Positive (n=56)
0 56 (100%)
56 56 10.60 (2.94;16.57)
11.00 (3.32;17.75)
Total (n=119) 51 (42.8%) 68 (57.1%)
66 66 0.74 (0.01;9.65) 0.67 (0.04;8.94)
High overall agreement, Cohen’s kappa of 0.8 (95% CI 0.69-0.91)
Discordant results were found in 12 subjects: they all
scored negative to the QFT-GIT and positive to the QFT-
Plus
Barcellini et al, ERJ 2016
Contact screening: Independent predictors of QFT-Plus and QFT-GIT positivity
QFT-GIT Positive QFT Plus Positive
OR (95% CI) p-value OR (95% CI) p-value
Age 1.04 (1.00; 1.07) 0.048
Estimated incidence of TB per 100,000 person-year in country of birth°
0-10 1
>10 3.14 (1.11; 8.88) 0.031
Time spent with the index case (hours per day)
1-12 1 1
>12 4.63 (2.05;10.47)
0.0002 6.41 (2.56; 16.06) 7.38e-05
Barcellini et al, ERJ 2016
Take home message: QFT-Plus in recent TB contacts
QFT-Plus seems to have a higher sensitivity compared to QFT-IT for LTBI detection
Potentially useful for monitoring LTBI preventive therapy
Would the use of QFT-Plus change ourcurrent practice?
Currently available data suggests that the QFT-Plus
improved sensitivity (88%) compared to the QFT-GIT and a
low indeterminate rate.
Unlikely to be useful in the diagnosis of active TB
Should aid in the detection of latent TB infection and
preventive treatment monitoring
Future directions
As our first data suggests, it should be investigated in larger multicentre trials:
The QFT-Plus performance in HIV co-infected individuals and other subgroups of immune-compromised patients, as those under biological treatment
The QFT-Plus performance in children
The QFT-Plus Positive Predictive Value (PPV) for TB progression
If any TB2-TB1 value can discriminate different states of the infection-disease
Agenda
Will this change practice?
C-Tb skin, a novel specific skin test based on ESAT-6 and CFP10 antigens
The authors investigated the safety and diagnostic potential of C-Tb compared with established tests in the contact-tracing setting.
C-Tb skin test: accuracy results
BCG-unvaccinated BCG-vaccinated
Ruhwald et al, Lancet Respiratory Medicine, 2017
C-Tb skin test: accuracy results. Similar PPV of the QFT-IT
Ruhwald et al, Lancet Respiratory Medicine, 2017
From Tom Ottenhoff 2014
Active TB development
From Tom Scriba, 2016
cumulative incidence: 2%
IPT effectiveness: 50%
80% IGRA+
Aa blood RNA signature for TB disease risk
Cross-validation performance of the tuberculosis risk signature in the ACS training set by days before tuberculosis diagnosis
Zak at al, Lancet, 2016
Test for identifying TB progressors
Petruccioli et al, ERJ 2016
Positive Predictive Value according to Sens/Spec for risk of progression
cumulative incidence: 2%
IPT effectiveness: 50%
Petruccioli et al, ERJ 2016
Number Needed to Test & Treat according to Sens/Spec for risk of progression
NNTT captures clinician/PH perspective (If treating all test+,
how many do I need to test and treat to prevent one case?)
cumulative incidence: 2%
IPT effectiveness: 50%
Petruccioli et al, ERJ 2016
Take home message: novelties
Available as routine tests: QuantiFERON Plus
Reasonably available soon as routine tests: C-Tb skin test
Potentially available soon as routine tests: COR (likely modified)
Many thanks to…
CD8 studies
Barcellini, Borroni, Cirillo, Emerging Bacterial Pathogen Unit San Raffaele Scientific Institute(MI)
Ruffo Codecasa, Ferrarese, CastellottiO.N. Niguarda (MI)
Tadolini, Ospedale Sant’Orsola (BO)
Brunetti, IRCCS San Matteo (PV)
Brown, Lipman, Free Royal Hospital, London
QIAGEN
We thank QIAGEN (Hilden, Germany) for providing QuantiFERON-TB Glod Plus kits free of charge
Assays for TB progression
Scriba and Heatherhill, South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
Ottenhoff and Joosten, Leiden University Medical Center, Leiden, Netherlands
Cirillo, Emerging Bacterial Pathogen Unit San Raffaele Scientific Institute, Italy
Denkinger and Shumaker, Tuberculosis and Hepatitis Programme, FIND, Geneva, Switzerland
Petruccioli and Petrone, Translational Research Unit, National Institute for Infectious diseases, Italy
My My thanks and conclusion…
A lot to do still……..