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Challenges in establishing a gold
standard for the detection of
rifampicin resistance
Daniela M Cirillo, MD, PhD
San Raffaele Scientific Institute Milan
Background:rifamycins are key drugs for today TB treatment
• RIF is one of the most potent sterilizing drugs available for TB treatment.
• Rifabutin (RFB) is a semisynthetic derivative of rifamycin S and together with RIF is part of the rifamycin family.
• Both RIF and RFB share the mechanism of action (blocking the DNA dependent RNA polymerase subunit B (RpoB).
• RFB is recommended for TB treatment in HIV-co-infected patients under anti-retroviral therapy
Background: rifampicin resistance is a proxy for MDR
• Rifamycins resistance is due mainly to mutation in an “hot spot” region of the rpoB
gene
• For a relatively low frequency of mutations in rpoB Rif resistance is considered a proxy for MDR
• Detection of rifamycins resistance requires a prompt shift to an appropriate drug regimen (use of second line drugs)
Testing for rifamycins resistance:
Gold Standard
drug diluentConcentration(µg/mL)
MGIT 960 VersaTREK L-J 7H10 7H11
Rifampicin DMSO 1,0 1,0 40 1,0 1,0
Rifabutin Methanol 0,5 ─ ─ 0,5 0,5
Gold standard
• An accepted test that is assumed to be able to determine the true disease state of a patient regardless of positive or negative test findings or sensitivities or specificities of other diagnostic tests used.
• The diagnostic test that is considered the most accurate test for a particular condition.
• In medicine and statistics, gold standard test refers to a diagnostic test or benchmark that is the best available under reasonable conditions. It does not have to be necessarily the best possible test for the condition in absolute terms.
Impact of an imperfect gold
standard on a novel test
From Rebecca A. Betensky
Conference on Statistical Issues in Clinical Trials
rpoB hot spot is the ideal target for
molecular methods
Rapid molecular tests for rifampicin resistance quickly
identify TB Rif resistant cases and the use of these tests
is recommended in high risk MDR-TB population
Even in the best performances their specificity appear
suboptimal compared to liquid cultures
Molecular detection of
Mutations
First line treatmentRefer or start MDR
treatment; DST RH, second
lineIf the test is used in a
test is recommended
If the test is used in a
Low MDR prevalence
setting a confirmatory
test is recommended
R o S?
• Discrepancies between molecular tests
and MGIT Rif sensitivity tests are
reported.
• Uncertainty of results is causing delay
in starting appropriate treatment and
undermine the confidence of clinicians
in the results of molecular
susceptibility tests.
Discrepancies between molecular
tests and MGIT as a gold standard
• Absence of both wild type
and mutated probes
indicates resistance
• Use of MGIT as
confirmatory test leads to
discrepant results
rpoB no WT, no MUT= 103 / ≈2000 cases
D516Y
H526C
H526L
H526N
H526S
L511P
L533P
L533R
S512R
S531F
S512T + M515I + H526N
S531W
L511Q
H526D
D516Y
L533P
Q513P
H526C
H526N
M515I + H526N
del. 1547→ggaccagaa
Q513L + Y526*
Q513L
H526R
L511P + D516G
S512R + H526N
H526L
H526*
H526P
del. 1448→gac (D516)
L511P
L511R + D516Y
S531L
Q510V + D516Y
M515I + D516Y
del. gac 516 + gac/ggg (E541G)
M515V + H526N
M515T + H526S
S522L + S531A
Q513H + L533P
ins. 1577 acc 1578 + ttc/ttt (F506F)
N518D + L533P
L533P + H526S
D516L
H526S
Q513P + H526S
L530M + S531P
S522L
S R
S512R 100,0 0,0
Q513L 0,0 100,0
D516Y 100,0 0,0
H526* 0,0 100,0
H526C 50,0 50,0
H526N 100,0 0,0
H526S 80,0 20,0
L533P 100,0 0,0
S531L 0,0 100,0
S531F 0,0 100,0
in/del, multiple 0,0 100,0
mutMGIT (%)
In/del and multiple mutations � MIC ≥ 20 µg/mL
MIC evaluation on 7H10
WT
MUT
WT MUT
WT
MUT
D516VS531L
H526Y
SNPs in the rpoB gene and RIF-R: high confidence mutations
Adapted from Campbell EA et al. Cell 2001; 104:901-912
Structure impairment is observed in mutations
MGIT sensitive
MUT MGIT Delta-day 7H10 mic rpoAC
H526S S 7,3 ± 6,7 I ≤1,0 WT
H526S S 7,0 R 4 WT
H526S S 3,0 ± 2,1 R ≥20,0 rpoCG594E
H526S R - R ≥20,0 WT
H526S S 7,5 ± 5,7 R 1,0 WT
WT
MUT
SNPs in the rpoB gene and phenotypic DST
Adapted from Campbell EA et al. Cell 2001; 104:901-912
Probes position in the “Hot Spot” of rpoB and
mutations non detected by MGIT
507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533
511 Pro°
522 Glu/Gln 526 Asn°/Leu°531 Trp
533 Pro 572 Phe
511 Gln
531 Phe/Tyr
533 Arg/Pro
526 Cys/Asn/Ser
512 Arg
516 Tyr°
Miotto et al submitted
Rigouts t al. JCM 2013
°Williamson IJTLD 2011
*YuanJCM2012
972Thr*
Discrepancies between molecular
tests and MGIT as a gold standard
• Approximately 10% discordant results on selected
cases with MGIT test using a breakpoint of
1µg/ml (considered the “gold standard”)
• Previously reported as “false positives
(negatives)” by molecular tests
• Absolute number of reports are increasing with
the roll out of Xpert and LPA
• “False positive” in culture are true positive by
sequencing
With low prevalence, maintaining high specificity is more
important than high sensitivity.
From Rebecca A. Betensky
Conference on Statistical Issues in Clinical Trials
‘‘Borderline’’
resistance to RIF has been strongly
associated with treatment
failure
Non canonical rpoB mutations were
identified in >10% of cases
The presence of unconventional
mutations correlated with a poor
outcome
Borderline mic
Applying a 0.0625 µg/ml susceptibility breakpoint to the isolates
of the present study would change susceptibility status of at least
7 of 16 discrepant cases to ‘‘resistant’’ and so increase the
specificity of molecular tests for RIF susceptibility from 89.5% to
94.1%.
16 isolates (10.5%) tested RIF-sens by phenotypic assay. Five
strains with discordant genotypic and phenotypic
susceptibility results had RIF minimal inhibitory
concentration (MIC) close to the cut-off value of 1 µg/ml
used in phenotypic susceptibility assays and were confirmed
as resistant by DST on solid media.
rpoB mutations and their correlation to (A)
RIF and (B) RFB resistance levels in MGIT
Jamieson FB, J. Clin. Microbiol. doi:10.1128/JCM.00691-14
“true” false-positives in molecular
tests
Silent mutations in rpoB
Silent mutations can be detected by molecular assays but by
definition do not modify the aa and the protein structure, NOT
relevant for DR. SM may cause false positivity in molecular tests
Silent
mutation
Country Reference Frequency LPA/Xpert
P535 Italy TBPANNET
database<1:100 -
L511
Q513
Korea Kim BJ JCM1997 nd No WT2/PA
No WT3/PB
T524 China Yuan JCM 2012 2.5% (77) No WT6/PD
F514 US
Spain
Kapur V JCM 1994
Alonso M JCM
2011
Moure JCM 2011
0.8% (1450) No WT3/PB
A532
L533
India JCM 2001 4%( 50) No WT8/PE
Q510 New Zeeland Williamson DMID
2011No WT1-2/PA
T508 Haiti Ocheretina PLoS
ONE 9(3): e90569. 1.3%(150) No WT1/PA
Additional considerations
Reasons for success –
compensatory evolution
The study supports a role for rpoC mutations in the transmission of multidrug-resistant
tuberculosis and illustrates how epistatic interactions between drug resistance-conferring
mutations, compensatory mutations, and different strain genetic backgrounds might
influence compensatory evolution in drug-resistant M. tuberculosis.
Conclusions
• Not every genotypic modification of rpoB gene affects phenotypic resistance to RIF equally
• The value of the RIF MIC correlates with the position and nature of the amino-acid substitution in rpoB RRDR
• Correlation between MGIT resistance and mutations is high for rpoB codon 531 and for 526D
• Resistance associated to other mutations at codon 526 are not detected by MGIT at CC of 1 μg/ml but is detected by proportion methods on LJ or 7H11
• ‘‘Borderline’’ or resistance to RIF associated to unconventional mutations has been strongly associated with treatment failure
• MGIT test for RIF breakpoint may needs to be revaluated
Conclusions: Which Gold Standard for Rif?
• Presence of mutations in rpoB hot spot show the best correlation with the clinical outcome
• Discrepancies between results obtained by MGIT and molecular tests should be sorted out by sequencing considering sequencing as the GOLDstandard for a molecular test
• It is possible that not only the presence of the
mutation but the type of mutation will be
relevant for patient’s management and clinicians
will need to be educated in this sense
Riccardo Alagna
Emanuele Borroni
Andrea M. Cabibbe
Lucinda Furci
Paola Mantegani
Paolo Miotto
Luca Norbis
Elisa Schena
Enrico Tortoli
Elisa Tagliani
Ilaria Valente
Emerging Bacterial Pathogens Unit
San Raffaele Scientific Institute
Milano, ITALY
AcknowledgmentsAcknowledgments