association of classical microbiology and targeted
TRANSCRIPT
ASSOCIATION OF CLASSICAL MICROBIOLOGY AND TARGETED METAGENOMIC ANALYSIS TO EVALUATE
THE PRESENCE OF CLOSTRIDIUM DIFFICILEIN A BELGIAN
NURSING HOME
B. Taminiau, C. Rodriguez, N. Korsak, V. Avesani, J. Van Broeck, M. Delmee, G. Daube
Gut Day 20137th november 2013
Groningen, the Netherlands
Background• Since toxigenic C. difficile was recognized as the major cause of antibiotic-associated
diarrhea and pseudomembranous colitis in 1978, many outbreaks have been
documented
• enhanced virulence and increased antibiotic resistance of C. difficile strains (PCR-
ribotype 078/NAP-1/B1) has been observed for the last years
• Patients with serious illnesses and prolonged hospitalizations are at particular risk, as
people above 65 years of age . The increased risk of acquiring C. difficile in the elderly
may be de to age-related changes in intestinal flora, immune senescence or the
presence of underlying diseases
• There are emerging data on the occurrence of C. difficile infection in the community:
non-hospitalized and younger patients with absence of other traditional risk factors
Hypothesis about a potential risk of foodborne infections linked to C. difficile
@google images 2013
Clostridium difficile Presence in Nursing homes
@google images 2013
15%
2.1-8.1%
39%
10% 0.03%
8.9% 4.6%
There is not much data describing the prevalence and molecular epidemiology of C.difficile in nursing homes in absence of an epidemic situation
Objectives
• To evaluate and follow the prevalence of C.
difficile in a Belgian nursing home
• To establish a relationship between other
intestinal bacterial populations and C. difficile
colonization
• To evaluate the global evolutions of the total
microflora and the relation with the C. difficile
presence
• During a 4-month period, stool samples from a
group of 23 elderly care home residents were
collected weekly (From March to June 2013)
Study design
• Direct and enrichment culture
Home-made cycloserine cefoxitin
fructose taurocholate
• Detection of a species-specific internal fragment of tpi, detection of genes for
toxin B, toxin A and binary toxin (cdtA) by PCR and Genotype Cdiff test system
• PCR-ribotyping
• Targeted Metagenomic analysis : 16S V1-V3 libraries
• Home-made bioinformatic pipeline
Results: Prevalence of C. difficile in nursing home residents
• 7/23 (30.4%) residents were (at least one
week) positive for C. difficile
• C. difficile was detected in 13/30 (43.3%)
episodes of diarrhea
• 4/13 (30.7%) residents positives for
C. difficile had previously received an
antibiotic therapy
C. difficile recovery:
Patient Week
N° 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 171 D D/AB/P AB
2
3
4 D D
5 AB/P D
6 AB
7 AB AB
8 H H H H P
9
10
11
12 « D » « D » « D » « D » « D » « D »
13
14
15 D D D D D D D D D/P D/P P P
16 D/AB AB AB X X X X X X X X X X X
17 D/AB AB AB AB
18 D
19 D D
20
21 D D D D P
22 X X X X X X X X
23
24 AB/P AB
Positive results after 3 days of enrichmentPositive after direct cultureNegativeSample not available
D diarrhea AB antibiotic P probiotic H hospitalization X death or resident outside of the study
Analyzed in metagenomicsAnalyzed in metagenomics
Resident Week
N° 01 02 03 05 06 07 08 09 10 11 12 13 14 15 16 171 020 020 020 020 020 020 020
2
3
4
5
6
7
8
9
10
11
12
13 UCL36 UCL36
14
15 027 027 027 027 027 027 027 027 027 027 027 027 027
16
17
18 027 027 027 027 027 027
19 UCL46 UCL46 027 027 027 UCL36
20
21
22
23 UCL36
24 UCL36 UCL36UCL36
Positive results after 3 days of enrichmentPositive after direct cultureNegativeSample not available
C. difficile abundance
13 15 18 19 24
residentresident
• Proportion of sequences of C. difficile detected for each resident each week• Residents positive for C. difficile by classical microbiology showed an
important proportion of C. difficile sequences
The results so far:
80 samples sequenced and analyzed: 6300 OTUs
Positive detection of Clostridium difficile :
n Microbiology Amplicon sequencing
20 + +
36 - -
19 + -
5 - +
C. difficile detection
0,000%
10,000%
20,000%
30,000%
40,000%
50,000%
60,000%
70,000%
80,000%
90,000%
100,000%
P1
_w
eek
01
P1
_w
eek
02
P1
_w
eek
04
P1
_w
eek
05
P1
_w
eek
07
P1
_w
eek
08
P1
_w
eek
10
P2
_w
eek
01
P2
_w
eek
03
P2
_w
eek
05
P2
_w
eek
07
P2
_w
eek
09
P1
3_
we
ek0
1
P1
3_
we
ek0
2
P1
3_
we
ek0
3
P1
3_
we
ek0
4
P1
3_
we
ek0
6
P1
3_
we
ek0
8
P1
3_
we
ek1
0
P1
5_
we
ek0
1
P1
5_
we
ek0
2
P1
5_
we
ek0
3
P1
5_
we
ek0
4
P1
5_
we
ek0
6
P1
5_
we
ek0
7
P1
5_
we
ek0
8
P1
5_
we
ek0
9
P1
8_
we
ek0
5
P1
8_
we
ek0
7
P1
8_
we
ek0
9
P1
9_
we
ek0
1
P1
9_
we
ek0
2
P1
9_
we
ek0
3
P1
9_
we
ek0
7
P1
9_
we
ek0
9
P1
9_
we
ek1
0
P2
4_
we
ek0
3
P2
4_
we
ek0
5
P2
4_
we
ek0
6
P2
4_
we
ek0
8
VictivallaceaeVibrionaceaeVerrucomicrobiaceaeVeillonellaceaeunclassifiedSynergistaceaeStreptococcaceaeStaphylococcaceaeSphingomonadaceaeRuminococcaceaeRikenellaceaeRhizobiaceaePseudomonadaceaePseudoalteromonadaceaePropionibacteriaceaePrevotellaceaePorphyromonadaceaePeptostreptococcaceaePasteurellaceaeOxalobacteraceaeMoraxellaceaeMicrococcaceaeMicrobacteriaceaeLactobacillaceaeLachnospiraceaeFusobacteriaceaeFlavobacteriaceaeFamily_XIII_Incertae_SedisFamily_XII_Incertae_SedisFamily_XI_Incertae_SedisEubacteriaceaeErysipelotrichaceaeEnterococcaceaeEnterobacteriaceaeDesulfovibrionaceaeCorynebacteriaceaeCoriobacteriaceaeComamonadaceaeClostridiaceaeCarnobacteriaceaeCampylobacteraceaeBifidobacteriaceaeBacteroidaceaeAlcaligenaceaeActinomycetaceae
Relative proportions of the differentbacterialfamiliesThere isa bacterialcomposition thatappearsstable alongthe weeks
Relative proportions of the differentbacterialfamiliesThere isa bacterialcomposition thatappearsstable alongthe weeks
0.05
P12_week_10
P5_week_12
P5_week_03
P1_week_08
P13_week_04
P19_week_13
P19_week_1
1
P18_w
eek_07
P18_week_17
P16_week_06
P15_week_08
P13_week_06
P1_week_12
P17_week_08
P17_week_06
P12_week_07
P2_week_15
P15_week_14
P19_week_03
P15_we
ek_04
P1_week_04
P24_week_14
P13_week_08
P15_week_12
P24_week_10
P17_week_07
P2_w
eek_11
P15_week_09
P2_week_13
P2_week_09
P24_week_05P15_w
eek_03
P18_w
eek_09
P18_week_05
P12_week_11
P24_week_06
P15_week_13
P24_week_08
P19_week_02
P1_week_01
P1_week_16
P24_week_12
P12_week_03P
13_week_01
P24_week_17
P18_week_12
P19_we
ek_07
P15_week_06
P2_week_01
P13_week_02
P13_week_03
P5_week_16
P1_week_14
P15_week_11
P19_week_15
P13_week_14
P2_week_05
P19_we
ek_09
P24_week_03P18_week_15
P5_week_01
P15_week_07
P15_week
_02
P1_week_10
P1_week_07
P1_week_05
P19_week_10
P2_week_07
P15_week_17
P19_week_01
P2_week_17
P1_week_02
P13_week_12
P15_week_01
P1_week_11
P13_week_10
P2_week_03
P17_week_05P1_week_17
Phylotype tree based on population distribution – Braycurtis dissimilarity index
• Study the phylotype composition of the samples
• This tree reflects how many samples have the same bacterial content or not
• Almost all the samples are clustered in a sub-tree corresponding to a single resident
• Each resident has his own bacterial imprint which is stable during the entire study
Different bacteria in case of positive (blue) and negative (orange) residents in relation with C. difficile
Statistical differences in genera abundance between
Cdiff positive (blue)Cdiff negative (orange)Cdiff positive (blue)Cdiff negative (orange)
Diarrheic (orange)Non diarrheic (blue)Diarrheic (orange)Non diarrheic (blue)
The story so far
• C. difficile prevalence of 30.4% in a Belgian nursing home
• The most common PCR-ribotype identified was 027
• Residents have all their microbiota print
• Metagenomics analysis can’t substitute targeted procotocols
• But It offers a global picture of the microbiota context:– With correlations– Identifications– Follow up
Prof. Michel Delmée
Véronique Avesani
Johan Van Broeck
Eléonore Lyeza
Prof. Georges Daube
Dr. Cristina Rodriguez
Dr. Nicolas Korsak
ACKNOWLEDGEMENTS
Nursing Home Sainte-Joséphine(Theux-Belgium)